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krumo_da_faster_rcnn.log
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2019-10-25 13:40:43,751 maskrcnn_benchmark INFO: Using 1 GPUs
2019-10-25 13:40:43,751 maskrcnn_benchmark INFO: Namespace(config_file='configs/da_faster_rcnn/e2e_da_faster_rcnn_R_50_C4_sim10k.yaml', distributed=False, local_rank=0, opts=['OUTPUT_DIR', 'runs/sim10k-baseline'], skip_test=False)
2019-10-25 13:40:43,751 maskrcnn_benchmark INFO: Collecting env info (might take some time)
2019-10-25 13:40:45,568 maskrcnn_benchmark INFO:
PyTorch version: 1.3.0
Is debug build: No
CUDA used to build PyTorch: 10.1.243
OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: version 3.14.5
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.1.243
GPU models and configuration:
GPU 0: GeForce RTX 2080
GPU 1: GeForce RTX 2080
Nvidia driver version: 418.87.00
cuDNN version: Could not collect
Versions of relevant libraries:
[pip3] numpy==1.13.3
[conda] blas 1.0 mkl
[conda] mkl 2019.4 243
[conda] mkl-service 2.3.0 py37he904b0f_0
[conda] mkl_fft 1.0.14 py37ha843d7b_0
[conda] mkl_random 1.1.0 py37hd6b4f25_0
[conda] pytorch 1.3.0 py3.7_cuda10.1.243_cudnn7.6.3_0 pytorch
[conda] torchvision 0.4.1 py37_cu101 pytorch
Pillow (6.2.0)
2019-10-25 13:40:45,568 maskrcnn_benchmark INFO: Loaded configuration file configs/da_faster_rcnn/e2e_da_faster_rcnn_R_50_C4_sim10k.yaml
2019-10-25 13:40:45,568 maskrcnn_benchmark INFO:
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
DOMAIN_ADAPTATION_ON: True
RPN:
PRE_NMS_TOP_N_TEST: 6000
POST_NMS_TOP_N_TEST: 1000
ROI_BOX_HEAD:
NUM_CLASSES: 2
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
NMS: 0.3
DA_HEADS:
DA_IMG_GRL_WEIGHT: 0.1
DA_INS_GRL_WEIGHT: 0.1
DATALOADER:
SIZE_DIVISIBILITY: 32
DATASETS:
TRAIN: ("sim10k_cocostyle",)
SOURCE_TRAIN: ("sim10k_cocostyle",)
TARGET_TRAIN: ("cityscapes_car_train_cocostyle",)
TEST: ("cityscapes_car_val_cocostyle",)
INPUT:
MIN_SIZE_TRAIN: (600,)
MAX_SIZE_TRAIN: 1200
MIN_SIZE_TEST: 600
MAX_SIZE_TEST: 1200
SOLVER:
BASE_LR: 0.001
WEIGHT_DECAY: 0.0005
STEPS: (50000,)
MAX_ITER: 70000
IMS_PER_BATCH: 2
TEST:
IMS_PER_BATCH: 1
2019-10-25 13:40:45,569 maskrcnn_benchmark INFO: Running with config:
DATALOADER:
ASPECT_RATIO_GROUPING: True
NUM_WORKERS: 4
SIZE_DIVISIBILITY: 32
DATASETS:
SOURCE_TRAIN: ('sim10k_cocostyle',)
TARGET_TRAIN: ('cityscapes_car_train_cocostyle',)
TEST: ('cityscapes_car_val_cocostyle',)
TRAIN: ('sim10k_cocostyle',)
INPUT:
MAX_SIZE_TEST: 1200
MAX_SIZE_TRAIN: 1200
MIN_SIZE_TEST: 600
MIN_SIZE_TRAIN: (600,)
PIXEL_MEAN: [102.9801, 115.9465, 122.7717]
PIXEL_STD: [1.0, 1.0, 1.0]
TO_BGR255: True
MODEL:
BACKBONE:
CONV_BODY: R-50-C4
FREEZE_CONV_BODY_AT: 2
OUT_CHANNELS: 1024
USE_GN: False
CLS_AGNOSTIC_BBOX_REG: False
DA_HEADS:
DA_CST_LOSS_WEIGHT: 0.1
DA_IMG_GRL_WEIGHT: 0.1
DA_IMG_LOSS_WEIGHT: 1.0
DA_INS_GRL_WEIGHT: 0.1
DA_INS_LOSS_WEIGHT: 1.0
DEVICE: cuda
DOMAIN_ADAPTATION_ON: True
FPN:
USE_GN: False
USE_RELU: False
GROUP_NORM:
DIM_PER_GP: -1
EPSILON: 1e-05
NUM_GROUPS: 32
KEYPOINT_ON: False
MASK_ON: False
META_ARCHITECTURE: GeneralizedRCNN
RESNETS:
NUM_GROUPS: 1
RES2_OUT_CHANNELS: 256
RES5_DILATION: 1
STEM_FUNC: StemWithFixedBatchNorm
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: True
TRANS_FUNC: BottleneckWithFixedBatchNorm
WIDTH_PER_GROUP: 64
RETINANET:
ANCHOR_SIZES: (32, 64, 128, 256, 512)
ANCHOR_STRIDES: (8, 16, 32, 64, 128)
ASPECT_RATIOS: (0.5, 1.0, 2.0)
BBOX_REG_BETA: 0.11
BBOX_REG_WEIGHT: 4.0
BG_IOU_THRESHOLD: 0.4
FG_IOU_THRESHOLD: 0.5
INFERENCE_TH: 0.05
LOSS_ALPHA: 0.25
LOSS_GAMMA: 2.0
NMS_TH: 0.4
NUM_CLASSES: 81
NUM_CONVS: 4
OCTAVE: 2.0
PRE_NMS_TOP_N: 1000
PRIOR_PROB: 0.01
SCALES_PER_OCTAVE: 3
STRADDLE_THRESH: 0
USE_C5: True
RETINANET_ON: False
ROI_BOX_HEAD:
CONV_HEAD_DIM: 256
DILATION: 1
FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
MLP_HEAD_DIM: 1024
NUM_CLASSES: 2
NUM_STACKED_CONVS: 4
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
PREDICTOR: FastRCNNPredictor
USE_GN: False
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0)
BG_IOU_THRESHOLD: 0.5
DETECTIONS_PER_IMG: 100
FG_IOU_THRESHOLD: 0.5
NMS: 0.3
POSITIVE_FRACTION: 0.25
SCORE_THRESH: 0.05
USE_FPN: False
ROI_KEYPOINT_HEAD:
CONV_LAYERS: (512, 512, 512, 512, 512, 512, 512, 512)
FEATURE_EXTRACTOR: KeypointRCNNFeatureExtractor
MLP_HEAD_DIM: 1024
NUM_CLASSES: 17
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
PREDICTOR: KeypointRCNNPredictor
RESOLUTION: 14
SHARE_BOX_FEATURE_EXTRACTOR: True
ROI_MASK_HEAD:
CONV_LAYERS: (256, 256, 256, 256)
DILATION: 1
FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
MLP_HEAD_DIM: 1024
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
POSTPROCESS_MASKS: False
POSTPROCESS_MASKS_THRESHOLD: 0.5
PREDICTOR: MaskRCNNC4Predictor
RESOLUTION: 14
SHARE_BOX_FEATURE_EXTRACTOR: True
USE_GN: False
RPN:
ANCHOR_SIZES: (32, 64, 128, 256, 512)
ANCHOR_STRIDE: (16,)
ASPECT_RATIOS: (0.5, 1.0, 2.0)
BATCH_SIZE_PER_IMAGE: 256
BG_IOU_THRESHOLD: 0.3
FG_IOU_THRESHOLD: 0.7
FPN_POST_NMS_TOP_N_TEST: 2000
FPN_POST_NMS_TOP_N_TRAIN: 2000
MIN_SIZE: 0
NMS_THRESH: 0.7
POSITIVE_FRACTION: 0.5
POST_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 6000
PRE_NMS_TOP_N_TRAIN: 12000
RPN_HEAD: SingleConvRPNHead
STRADDLE_THRESH: 0
USE_FPN: False
RPN_ONLY: False
WEIGHT: catalog://ImageNetPretrained/MSRA/R-50
OUTPUT_DIR: runs/sim10k-baseline
PATHS_CATALOG: /home/csbotos/github/da-faster-rcnn/maskrcnn_benchmark/config/paths_catalog.py
SOLVER:
BASE_LR: 0.001
BIAS_LR_FACTOR: 2
CHECKPOINT_PERIOD: 2500
GAMMA: 0.1
IMS_PER_BATCH: 2
MAX_ITER: 70000
MOMENTUM: 0.9
STEPS: (50000,)
WARMUP_FACTOR: 0.3333333333333333
WARMUP_ITERS: 500
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0
TEST:
DETECTIONS_PER_IMG: 100
EXPECTED_RESULTS: []
EXPECTED_RESULTS_SIGMA_TOL: 4
IMS_PER_BATCH: 1
2019-10-25 13:40:48,903 maskrcnn_benchmark.utils.checkpoint INFO: Loading checkpoint from catalog://ImageNetPretrained/MSRA/R-50
2019-10-25 13:40:48,904 maskrcnn_benchmark.utils.checkpoint INFO: catalog://ImageNetPretrained/MSRA/R-50 points to https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
2019-10-25 13:40:48,904 maskrcnn_benchmark.utils.checkpoint INFO: url https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl cached in /home/csbotos/.torch/models/R-50.pkl
2019-10-25 13:40:48,963 maskrcnn_benchmark.utils.c2_model_loading INFO: Remapping C2 weights
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2019-10-25 13:40:51,192 maskrcnn_benchmark.trainer INFO: Start training
2019-10-25 13:40:52,808 maskrcnn_benchmark.trainer INFO: eta: 1 day, 7:23:24 iter: 0 loss: 3.2025 (3.2025) loss_classifier: 0.9879 (0.9879) loss_box_reg: 0.0001 (0.0001) loss_objectness: 0.7055 (0.7055) loss_rpn_box_reg: 0.1172 (0.1172) loss_da_image: 0.6932 (0.6932) loss_da_instance: 0.6953 (0.6953) loss_da_consistency: 0.0035 (0.0035) time: 1.6143 (1.6143) data: 0.6335 (0.6335) lr: 0.000335 max mem: 3750
2019-10-25 13:40:52,810 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0000000.pth
2019-10-25 13:41:08,398 maskrcnn_benchmark.trainer INFO: eta: 15:55:34 iter: 20 loss: 2.2143 (2.3849) loss_classifier: 0.1698 (0.3082) loss_box_reg: 0.0141 (0.0247) loss_objectness: 0.6104 (0.6170) loss_rpn_box_reg: 0.0317 (0.0464) loss_da_image: 0.6931 (0.6931) loss_da_instance: 0.6917 (0.6922) loss_da_consistency: 0.0033 (0.0033) time: 0.7704 (0.8193) data: 0.0562 (0.0932) lr: 0.000361 max mem: 4018
2019-10-25 13:41:23,961 maskrcnn_benchmark.trainer INFO: eta: 15:31:52 iter: 40 loss: 2.0041 (2.2114) loss_classifier: 0.1262 (0.2371) loss_box_reg: 0.0004 (0.0242) loss_objectness: 0.4074 (0.5171) loss_rpn_box_reg: 0.0612 (0.0533) loss_da_image: 0.6931 (0.6931) loss_da_instance: 0.6732 (0.6834) loss_da_consistency: 0.0031 (0.0032) time: 0.7738 (0.7992) data: 0.0593 (0.0765) lr: 0.000388 max mem: 4018
2019-10-25 13:41:40,258 maskrcnn_benchmark.trainer INFO: eta: 15:37:34 iter: 60 loss: 1.7012 (2.0458) loss_classifier: 0.0541 (0.1778) loss_box_reg: 0.0001 (0.0190) loss_objectness: 0.2582 (0.4287) loss_rpn_box_reg: 0.0352 (0.0489) loss_da_image: 0.6930 (0.6931) loss_da_instance: 0.6570 (0.6748) loss_da_consistency: 0.0037 (0.0034) time: 0.8152 (0.8043) data: 0.0601 (0.0720) lr: 0.000415 max mem: 4018
2019-10-25 13:41:56,369 maskrcnn_benchmark.trainer INFO: eta: 15:37:40 iter: 80 loss: 1.5218 (1.9311) loss_classifier: 0.0219 (0.1443) loss_box_reg: 0.0001 (0.0194) loss_objectness: 0.1458 (0.3612) loss_rpn_box_reg: 0.0216 (0.0438) loss_da_image: 0.6930 (0.6931) loss_da_instance: 0.6323 (0.6652) loss_da_consistency: 0.0061 (0.0041) time: 0.8073 (0.8046) data: 0.0578 (0.0687) lr: 0.000441 max mem: 4018
2019-10-25 13:42:12,297 maskrcnn_benchmark.trainer INFO: eta: 15:35:30 iter: 100 loss: 1.5430 (1.8712) loss_classifier: 0.0575 (0.1352) loss_box_reg: 0.0001 (0.0227) loss_objectness: 0.1126 (0.3185) loss_rpn_box_reg: 0.0221 (0.0412) loss_da_image: 0.6928 (0.6930) loss_da_instance: 0.6226 (0.6558) loss_da_consistency: 0.0076 (0.0048) time: 0.7919 (0.8030) data: 0.0598 (0.0670) lr: 0.000468 max mem: 4018
2019-10-25 13:42:28,140 maskrcnn_benchmark.trainer INFO: eta: 15:33:08 iter: 120 loss: 1.6682 (1.8418) loss_classifier: 0.1220 (0.1351) loss_box_reg: 0.0091 (0.0293) loss_objectness: 0.1301 (0.2908) loss_rpn_box_reg: 0.0268 (0.0411) loss_da_image: 0.6927 (0.6930) loss_da_instance: 0.6067 (0.6472) loss_da_consistency: 0.0082 (0.0054) time: 0.7894 (0.8012) data: 0.0582 (0.0656) lr: 0.000495 max mem: 4018
2019-10-25 13:42:44,093 maskrcnn_benchmark.trainer INFO: eta: 15:32:17 iter: 140 loss: 1.6970 (1.8239) loss_classifier: 0.1197 (0.1351) loss_box_reg: 0.0643 (0.0395) loss_objectness: 0.1308 (0.2694) loss_rpn_box_reg: 0.0274 (0.0405) loss_da_image: 0.6925 (0.6929) loss_da_instance: 0.5977 (0.6406) loss_da_consistency: 0.0088 (0.0059) time: 0.7941 (0.8007) data: 0.0593 (0.0648) lr: 0.000521 max mem: 4018
2019-10-25 13:43:00,116 maskrcnn_benchmark.trainer INFO: eta: 15:32:04 iter: 160 loss: 1.5895 (1.8052) loss_classifier: 0.1079 (0.1344) loss_box_reg: 0.0470 (0.0449) loss_objectness: 0.1311 (0.2527) loss_rpn_box_reg: 0.0305 (0.0399) loss_da_image: 0.6921 (0.6928) loss_da_instance: 0.5802 (0.6342) loss_da_consistency: 0.0094 (0.0064) time: 0.8002 (0.8008) data: 0.0587 (0.0640) lr: 0.000548 max mem: 4018
2019-10-25 13:43:46,509 maskrcnn_benchmark INFO: Using 1 GPUs
2019-10-25 13:43:46,509 maskrcnn_benchmark INFO: Namespace(config_file='configs/da_faster_rcnn/e2e_da_faster_rcnn_R_50_C4_sim10k.yaml', distributed=False, local_rank=0, opts=['OUTPUT_DIR', 'runs/sim10k-baseline'], skip_test=False)
2019-10-25 13:43:46,509 maskrcnn_benchmark INFO: Collecting env info (might take some time)
2019-10-25 13:43:48,316 maskrcnn_benchmark INFO:
PyTorch version: 1.3.0
Is debug build: No
CUDA used to build PyTorch: 10.1.243
OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: version 3.14.5
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.1.243
GPU models and configuration:
GPU 0: GeForce RTX 2080
GPU 1: GeForce RTX 2080
Nvidia driver version: 418.87.00
cuDNN version: Could not collect
Versions of relevant libraries:
[pip3] numpy==1.13.3
[conda] blas 1.0 mkl
[conda] mkl 2019.4 243
[conda] mkl-service 2.3.0 py37he904b0f_0
[conda] mkl_fft 1.0.14 py37ha843d7b_0
[conda] mkl_random 1.1.0 py37hd6b4f25_0
[conda] pytorch 1.3.0 py3.7_cuda10.1.243_cudnn7.6.3_0 pytorch
[conda] torchvision 0.4.1 py37_cu101 pytorch
Pillow (6.2.0)
2019-10-25 13:43:48,317 maskrcnn_benchmark INFO: Loaded configuration file configs/da_faster_rcnn/e2e_da_faster_rcnn_R_50_C4_sim10k.yaml
2019-10-25 13:43:48,317 maskrcnn_benchmark INFO:
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
DOMAIN_ADAPTATION_ON: True
RPN:
PRE_NMS_TOP_N_TEST: 6000
POST_NMS_TOP_N_TEST: 1000
ROI_BOX_HEAD:
NUM_CLASSES: 2
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
NMS: 0.3
DA_HEADS:
DA_IMG_GRL_WEIGHT: 0.1
DA_INS_GRL_WEIGHT: 0.1
DATALOADER:
SIZE_DIVISIBILITY: 32
DATASETS:
TRAIN: ("sim10k_cocostyle",)
SOURCE_TRAIN: ("sim10k_cocostyle",)
TARGET_TRAIN: ("cityscapes_car_train_cocostyle",)
TEST: ("cityscapes_car_val_cocostyle",)
INPUT:
MIN_SIZE_TRAIN: (600,)
MAX_SIZE_TRAIN: 1200
MIN_SIZE_TEST: 600
MAX_SIZE_TEST: 1200
SOLVER:
BASE_LR: 0.001
WEIGHT_DECAY: 0.0005
STEPS: (50000,)
MAX_ITER: 70000
IMS_PER_BATCH: 2
TEST:
IMS_PER_BATCH: 1
2019-10-25 13:43:48,318 maskrcnn_benchmark INFO: Running with config:
DATALOADER:
ASPECT_RATIO_GROUPING: True
NUM_WORKERS: 4
SIZE_DIVISIBILITY: 32
DATASETS:
SOURCE_TRAIN: ('sim10k_cocostyle',)
TARGET_TRAIN: ('cityscapes_car_train_cocostyle',)
TEST: ('cityscapes_car_val_cocostyle',)
TRAIN: ('sim10k_cocostyle',)
INPUT:
MAX_SIZE_TEST: 1200
MAX_SIZE_TRAIN: 1200
MIN_SIZE_TEST: 600
MIN_SIZE_TRAIN: (600,)
PIXEL_MEAN: [102.9801, 115.9465, 122.7717]
PIXEL_STD: [1.0, 1.0, 1.0]
TO_BGR255: True
MODEL:
BACKBONE:
CONV_BODY: R-50-C4
FREEZE_CONV_BODY_AT: 2
OUT_CHANNELS: 1024
USE_GN: False
CLS_AGNOSTIC_BBOX_REG: False
DA_HEADS:
DA_CST_LOSS_WEIGHT: 0.1
DA_IMG_GRL_WEIGHT: 0.1
DA_IMG_LOSS_WEIGHT: 1.0
DA_INS_GRL_WEIGHT: 0.1
DA_INS_LOSS_WEIGHT: 1.0
DEVICE: cuda
DOMAIN_ADAPTATION_ON: True
FPN:
USE_GN: False
USE_RELU: False
GROUP_NORM:
DIM_PER_GP: -1
EPSILON: 1e-05
NUM_GROUPS: 32
KEYPOINT_ON: False
MASK_ON: False
META_ARCHITECTURE: GeneralizedRCNN
RESNETS:
NUM_GROUPS: 1
RES2_OUT_CHANNELS: 256
RES5_DILATION: 1
STEM_FUNC: StemWithFixedBatchNorm
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: True
TRANS_FUNC: BottleneckWithFixedBatchNorm
WIDTH_PER_GROUP: 64
RETINANET:
ANCHOR_SIZES: (32, 64, 128, 256, 512)
ANCHOR_STRIDES: (8, 16, 32, 64, 128)
ASPECT_RATIOS: (0.5, 1.0, 2.0)
BBOX_REG_BETA: 0.11
BBOX_REG_WEIGHT: 4.0
BG_IOU_THRESHOLD: 0.4
FG_IOU_THRESHOLD: 0.5
INFERENCE_TH: 0.05
LOSS_ALPHA: 0.25
LOSS_GAMMA: 2.0
NMS_TH: 0.4
NUM_CLASSES: 81
NUM_CONVS: 4
OCTAVE: 2.0
PRE_NMS_TOP_N: 1000
PRIOR_PROB: 0.01
SCALES_PER_OCTAVE: 3
STRADDLE_THRESH: 0
USE_C5: True
RETINANET_ON: False
ROI_BOX_HEAD:
CONV_HEAD_DIM: 256
DILATION: 1
FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
MLP_HEAD_DIM: 1024
NUM_CLASSES: 2
NUM_STACKED_CONVS: 4
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
PREDICTOR: FastRCNNPredictor
USE_GN: False
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0)
BG_IOU_THRESHOLD: 0.5
DETECTIONS_PER_IMG: 100
FG_IOU_THRESHOLD: 0.5
NMS: 0.3
POSITIVE_FRACTION: 0.25
SCORE_THRESH: 0.05
USE_FPN: False
ROI_KEYPOINT_HEAD:
CONV_LAYERS: (512, 512, 512, 512, 512, 512, 512, 512)
FEATURE_EXTRACTOR: KeypointRCNNFeatureExtractor
MLP_HEAD_DIM: 1024
NUM_CLASSES: 17
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
PREDICTOR: KeypointRCNNPredictor
RESOLUTION: 14
SHARE_BOX_FEATURE_EXTRACTOR: True
ROI_MASK_HEAD:
CONV_LAYERS: (256, 256, 256, 256)
DILATION: 1
FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
MLP_HEAD_DIM: 1024
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
POSTPROCESS_MASKS: False
POSTPROCESS_MASKS_THRESHOLD: 0.5
PREDICTOR: MaskRCNNC4Predictor
RESOLUTION: 14
SHARE_BOX_FEATURE_EXTRACTOR: True
USE_GN: False
RPN:
ANCHOR_SIZES: (32, 64, 128, 256, 512)
ANCHOR_STRIDE: (16,)
ASPECT_RATIOS: (0.5, 1.0, 2.0)
BATCH_SIZE_PER_IMAGE: 256
BG_IOU_THRESHOLD: 0.3
FG_IOU_THRESHOLD: 0.7
FPN_POST_NMS_TOP_N_TEST: 2000
FPN_POST_NMS_TOP_N_TRAIN: 2000
MIN_SIZE: 0
NMS_THRESH: 0.7
POSITIVE_FRACTION: 0.5
POST_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 6000
PRE_NMS_TOP_N_TRAIN: 12000
RPN_HEAD: SingleConvRPNHead
STRADDLE_THRESH: 0
USE_FPN: False
RPN_ONLY: False
WEIGHT: catalog://ImageNetPretrained/MSRA/R-50
OUTPUT_DIR: runs/sim10k-baseline
PATHS_CATALOG: /home/csbotos/github/da-faster-rcnn/maskrcnn_benchmark/config/paths_catalog.py
SOLVER:
BASE_LR: 0.001
BIAS_LR_FACTOR: 2
CHECKPOINT_PERIOD: 2500
GAMMA: 0.1
IMS_PER_BATCH: 2
MAX_ITER: 70000
MOMENTUM: 0.9
STEPS: (50000,)
WARMUP_FACTOR: 0.3333333333333333
WARMUP_ITERS: 500
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0
TEST:
DETECTIONS_PER_IMG: 100
EXPECTED_RESULTS: []
EXPECTED_RESULTS_SIGMA_TOL: 4
IMS_PER_BATCH: 1
2019-10-25 13:43:51,652 maskrcnn_benchmark.utils.checkpoint INFO: Loading checkpoint from catalog://ImageNetPretrained/MSRA/R-50
2019-10-25 13:43:51,653 maskrcnn_benchmark.utils.checkpoint INFO: catalog://ImageNetPretrained/MSRA/R-50 points to https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
2019-10-25 13:43:51,653 maskrcnn_benchmark.utils.checkpoint INFO: url https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl cached in /home/csbotos/.torch/models/R-50.pkl
2019-10-25 13:43:51,709 maskrcnn_benchmark.utils.c2_model_loading INFO: Remapping C2 weights
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2019-10-25 13:43:51,715 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2a_bn_s mapped name: layer4.2.bn1.weight
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2019-10-25 13:43:51,723 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.conv2.weight loaded from layer1.0.conv2.weight of shape (64, 64, 3, 3)
2019-10-25 13:43:51,723 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.conv3.weight loaded from layer1.0.conv3.weight of shape (256, 64, 1, 1)
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2019-10-25 13:43:51,724 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.1.conv2.weight loaded from layer1.1.conv2.weight of shape (64, 64, 3, 3)
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2019-10-25 13:43:53,947 maskrcnn_benchmark.trainer INFO: Start training
2019-10-25 13:43:55,581 maskrcnn_benchmark.trainer INFO: eta: 1 day, 7:44:10 iter: 0 loss: 3.0509 (3.0509) loss_classifier: 0.8976 (0.8976) loss_box_reg: 0.0757 (0.0757) loss_objectness: 0.6545 (0.6545) loss_rpn_box_reg: 0.0347 (0.0347) loss_da_image: 0.6932 (0.6932) loss_da_instance: 0.6917 (0.6917) loss_da_consistency: 0.0035 (0.0035) time: 1.6322 (1.6322) data: 0.6153 (0.6153) lr: 0.000335 max mem: 3750
2019-10-25 13:43:55,583 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0000000.pth
2019-10-25 13:44:12,129 maskrcnn_benchmark INFO: Using 1 GPUs
2019-10-25 13:44:12,129 maskrcnn_benchmark INFO: Namespace(config_file='configs/da_faster_rcnn/e2e_da_faster_rcnn_R_50_C4_sim10k.yaml', distributed=False, local_rank=0, opts=['OUTPUT_DIR', 'runs/sim10k-baseline'], skip_test=False)
2019-10-25 13:44:12,129 maskrcnn_benchmark INFO: Collecting env info (might take some time)
2019-10-25 13:44:13,928 maskrcnn_benchmark INFO:
PyTorch version: 1.3.0
Is debug build: No
CUDA used to build PyTorch: 10.1.243
OS: Ubuntu 18.04.3 LTS
GCC version: (Ubuntu 7.4.0-1ubuntu1~18.04.1) 7.4.0
CMake version: version 3.14.5
Python version: 3.7
Is CUDA available: Yes
CUDA runtime version: 10.1.243
GPU models and configuration:
GPU 0: GeForce RTX 2080
GPU 1: GeForce RTX 2080
Nvidia driver version: 418.87.00
cuDNN version: Could not collect
Versions of relevant libraries:
[pip3] numpy==1.13.3
[conda] blas 1.0 mkl
[conda] mkl 2019.4 243
[conda] mkl-service 2.3.0 py37he904b0f_0
[conda] mkl_fft 1.0.14 py37ha843d7b_0
[conda] mkl_random 1.1.0 py37hd6b4f25_0
[conda] pytorch 1.3.0 py3.7_cuda10.1.243_cudnn7.6.3_0 pytorch
[conda] torchvision 0.4.1 py37_cu101 pytorch
Pillow (6.2.0)
2019-10-25 13:44:13,929 maskrcnn_benchmark INFO: Loaded configuration file configs/da_faster_rcnn/e2e_da_faster_rcnn_R_50_C4_sim10k.yaml
2019-10-25 13:44:13,929 maskrcnn_benchmark INFO:
MODEL:
META_ARCHITECTURE: "GeneralizedRCNN"
WEIGHT: "catalog://ImageNetPretrained/MSRA/R-50"
DOMAIN_ADAPTATION_ON: True
RPN:
PRE_NMS_TOP_N_TEST: 6000
POST_NMS_TOP_N_TEST: 1000
ROI_BOX_HEAD:
NUM_CLASSES: 2
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
NMS: 0.3
DA_HEADS:
DA_IMG_GRL_WEIGHT: 0.1
DA_INS_GRL_WEIGHT: 0.1
DATALOADER:
SIZE_DIVISIBILITY: 32
DATASETS:
TRAIN: ("sim10k_cocostyle",)
SOURCE_TRAIN: ("sim10k_cocostyle",)
TARGET_TRAIN: ("cityscapes_car_train_cocostyle",)
TEST: ("cityscapes_car_val_cocostyle",)
INPUT:
MIN_SIZE_TRAIN: (600,)
MAX_SIZE_TRAIN: 1200
MIN_SIZE_TEST: 600
MAX_SIZE_TEST: 1200
SOLVER:
BASE_LR: 0.001
WEIGHT_DECAY: 0.0005
STEPS: (50000,)
MAX_ITER: 70000
IMS_PER_BATCH: 2
TEST:
IMS_PER_BATCH: 1
2019-10-25 13:44:13,930 maskrcnn_benchmark INFO: Running with config:
DATALOADER:
ASPECT_RATIO_GROUPING: True
NUM_WORKERS: 4
SIZE_DIVISIBILITY: 32
DATASETS:
SOURCE_TRAIN: ('sim10k_cocostyle',)
TARGET_TRAIN: ('cityscapes_car_train_cocostyle',)
TEST: ('cityscapes_car_val_cocostyle',)
TRAIN: ('sim10k_cocostyle',)
INPUT:
MAX_SIZE_TEST: 1200
MAX_SIZE_TRAIN: 1200
MIN_SIZE_TEST: 600
MIN_SIZE_TRAIN: (600,)
PIXEL_MEAN: [102.9801, 115.9465, 122.7717]
PIXEL_STD: [1.0, 1.0, 1.0]
TO_BGR255: True
MODEL:
BACKBONE:
CONV_BODY: R-50-C4
FREEZE_CONV_BODY_AT: 2
OUT_CHANNELS: 1024
USE_GN: False
CLS_AGNOSTIC_BBOX_REG: False
DA_HEADS:
DA_CST_LOSS_WEIGHT: 0.1
DA_IMG_GRL_WEIGHT: 0.1
DA_IMG_LOSS_WEIGHT: 1.0
DA_INS_GRL_WEIGHT: 0.1
DA_INS_LOSS_WEIGHT: 1.0
DEVICE: cuda
DOMAIN_ADAPTATION_ON: True
FPN:
USE_GN: False
USE_RELU: False
GROUP_NORM:
DIM_PER_GP: -1
EPSILON: 1e-05
NUM_GROUPS: 32
KEYPOINT_ON: False
MASK_ON: False
META_ARCHITECTURE: GeneralizedRCNN
RESNETS:
NUM_GROUPS: 1
RES2_OUT_CHANNELS: 256
RES5_DILATION: 1
STEM_FUNC: StemWithFixedBatchNorm
STEM_OUT_CHANNELS: 64
STRIDE_IN_1X1: True
TRANS_FUNC: BottleneckWithFixedBatchNorm
WIDTH_PER_GROUP: 64
RETINANET:
ANCHOR_SIZES: (32, 64, 128, 256, 512)
ANCHOR_STRIDES: (8, 16, 32, 64, 128)
ASPECT_RATIOS: (0.5, 1.0, 2.0)
BBOX_REG_BETA: 0.11
BBOX_REG_WEIGHT: 4.0
BG_IOU_THRESHOLD: 0.4
FG_IOU_THRESHOLD: 0.5
INFERENCE_TH: 0.05
LOSS_ALPHA: 0.25
LOSS_GAMMA: 2.0
NMS_TH: 0.4
NUM_CLASSES: 81
NUM_CONVS: 4
OCTAVE: 2.0
PRE_NMS_TOP_N: 1000
PRIOR_PROB: 0.01
SCALES_PER_OCTAVE: 3
STRADDLE_THRESH: 0
USE_C5: True
RETINANET_ON: False
ROI_BOX_HEAD:
CONV_HEAD_DIM: 256
DILATION: 1
FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
MLP_HEAD_DIM: 1024
NUM_CLASSES: 2
NUM_STACKED_CONVS: 4
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
PREDICTOR: FastRCNNPredictor
USE_GN: False
ROI_HEADS:
BATCH_SIZE_PER_IMAGE: 256
BBOX_REG_WEIGHTS: (10.0, 10.0, 5.0, 5.0)
BG_IOU_THRESHOLD: 0.5
DETECTIONS_PER_IMG: 100
FG_IOU_THRESHOLD: 0.5
NMS: 0.3
POSITIVE_FRACTION: 0.25
SCORE_THRESH: 0.05
USE_FPN: False
ROI_KEYPOINT_HEAD:
CONV_LAYERS: (512, 512, 512, 512, 512, 512, 512, 512)
FEATURE_EXTRACTOR: KeypointRCNNFeatureExtractor
MLP_HEAD_DIM: 1024
NUM_CLASSES: 17
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
PREDICTOR: KeypointRCNNPredictor
RESOLUTION: 14
SHARE_BOX_FEATURE_EXTRACTOR: True
ROI_MASK_HEAD:
CONV_LAYERS: (256, 256, 256, 256)
DILATION: 1
FEATURE_EXTRACTOR: ResNet50Conv5ROIFeatureExtractor
MLP_HEAD_DIM: 1024
POOLER_RESOLUTION: 14
POOLER_SAMPLING_RATIO: 0
POOLER_SCALES: (0.0625,)
POSTPROCESS_MASKS: False
POSTPROCESS_MASKS_THRESHOLD: 0.5
PREDICTOR: MaskRCNNC4Predictor
RESOLUTION: 14
SHARE_BOX_FEATURE_EXTRACTOR: True
USE_GN: False
RPN:
ANCHOR_SIZES: (32, 64, 128, 256, 512)
ANCHOR_STRIDE: (16,)
ASPECT_RATIOS: (0.5, 1.0, 2.0)
BATCH_SIZE_PER_IMAGE: 256
BG_IOU_THRESHOLD: 0.3
FG_IOU_THRESHOLD: 0.7
FPN_POST_NMS_TOP_N_TEST: 2000
FPN_POST_NMS_TOP_N_TRAIN: 2000
MIN_SIZE: 0
NMS_THRESH: 0.7
POSITIVE_FRACTION: 0.5
POST_NMS_TOP_N_TEST: 1000
POST_NMS_TOP_N_TRAIN: 2000
PRE_NMS_TOP_N_TEST: 6000
PRE_NMS_TOP_N_TRAIN: 12000
RPN_HEAD: SingleConvRPNHead
STRADDLE_THRESH: 0
USE_FPN: False
RPN_ONLY: False
WEIGHT: catalog://ImageNetPretrained/MSRA/R-50
OUTPUT_DIR: runs/sim10k-baseline
PATHS_CATALOG: /home/csbotos/github/da-faster-rcnn/maskrcnn_benchmark/config/paths_catalog.py
SOLVER:
BASE_LR: 0.001
BIAS_LR_FACTOR: 2
CHECKPOINT_PERIOD: 2500
GAMMA: 0.1
IMS_PER_BATCH: 2
MAX_ITER: 70000
MOMENTUM: 0.9
STEPS: (50000,)
WARMUP_FACTOR: 0.3333333333333333
WARMUP_ITERS: 500
WARMUP_METHOD: linear
WEIGHT_DECAY: 0.0005
WEIGHT_DECAY_BIAS: 0
TEST:
DETECTIONS_PER_IMG: 100
EXPECTED_RESULTS: []
EXPECTED_RESULTS_SIGMA_TOL: 4
IMS_PER_BATCH: 1
2019-10-25 13:44:17,256 maskrcnn_benchmark.utils.checkpoint INFO: Loading checkpoint from catalog://ImageNetPretrained/MSRA/R-50
2019-10-25 13:44:17,256 maskrcnn_benchmark.utils.checkpoint INFO: catalog://ImageNetPretrained/MSRA/R-50 points to https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl
2019-10-25 13:44:17,256 maskrcnn_benchmark.utils.checkpoint INFO: url https://dl.fbaipublicfiles.com/detectron/ImageNetPretrained/MSRA/R-50.pkl cached in /home/csbotos/.torch/models/R-50.pkl
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2019-10-25 13:44:17,323 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2a_bn_s mapped name: layer4.2.bn1.weight
2019-10-25 13:44:17,323 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2a_w mapped name: layer4.2.conv1.weight
2019-10-25 13:44:17,323 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2b_b mapped name: layer4.2.conv2.bias
2019-10-25 13:44:17,323 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2b_bn_b mapped name: layer4.2.bn2.bias
2019-10-25 13:44:17,323 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2b_bn_s mapped name: layer4.2.bn2.weight
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2019-10-25 13:44:17,323 maskrcnn_benchmark.utils.c2_model_loading INFO: C2 name: res5_2_branch2c_bn_s mapped name: layer4.2.bn3.weight
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2019-10-25 13:44:17,331 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.bn1.bias loaded from layer1.0.bn1.bias of shape (64,)
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2019-10-25 13:44:17,332 maskrcnn_benchmark.utils.model_serialization INFO: backbone.body.layer1.0.downsample.1.bias loaded from layer1.0.downsample.1.bias of shape (256,)
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2019-10-25 13:44:19,607 maskrcnn_benchmark.trainer INFO: Start training
2019-10-25 13:44:21,208 maskrcnn_benchmark.trainer INFO: eta: 1 day, 7:05:51 iter: 0 loss: 2.8300 (2.8300) loss_classifier: 0.7183 (0.7183) loss_box_reg: 0.0090 (0.0090) loss_objectness: 0.6640 (0.6640) loss_rpn_box_reg: 0.0226 (0.0226) loss_da_image: 0.6932 (0.6932) loss_da_instance: 0.7175 (0.7175) loss_da_consistency: 0.0055 (0.0055) time: 1.5993 (1.5993) data: 0.6157 (0.6157) lr: 0.000335 max mem: 3750
2019-10-25 13:44:21,212 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0000000.pth
2019-10-25 13:44:36,923 maskrcnn_benchmark.trainer INFO: eta: 16:01:36 iter: 20 loss: 2.2682 (2.3243) loss_classifier: 0.1920 (0.2629) loss_box_reg: 0.0002 (0.0343) loss_objectness: 0.5985 (0.5964) loss_rpn_box_reg: 0.0301 (0.0329) loss_da_image: 0.6932 (0.6932) loss_da_instance: 0.7008 (0.7000) loss_da_consistency: 0.0046 (0.0046) time: 0.7623 (0.8245) data: 0.0573 (0.1058) lr: 0.000361 max mem: 4018
2019-10-25 13:44:52,600 maskrcnn_benchmark.trainer INFO: eta: 15:38:15 iter: 40 loss: 1.8869 (2.1673) loss_classifier: 0.0836 (0.2034) loss_box_reg: 0.0002 (0.0442) loss_objectness: 0.3831 (0.5006) loss_rpn_box_reg: 0.0370 (0.0394) loss_da_image: 0.6931 (0.6932) loss_da_instance: 0.6629 (0.6825) loss_da_consistency: 0.0034 (0.0041) time: 0.7834 (0.8047) data: 0.0580 (0.0826) lr: 0.000388 max mem: 4018
2019-10-25 13:45:08,482 maskrcnn_benchmark.trainer INFO: eta: 15:33:56 iter: 60 loss: 1.6676 (2.0150) loss_classifier: 0.0554 (0.1600) loss_box_reg: 0.0001 (0.0399) loss_objectness: 0.2337 (0.4139) loss_rpn_box_reg: 0.0201 (0.0352) loss_da_image: 0.6931 (0.6931) loss_da_instance: 0.6438 (0.6687) loss_da_consistency: 0.0039 (0.0041) time: 0.7944 (0.8012) data: 0.0619 (0.0762) lr: 0.000415 max mem: 4018
2019-10-25 13:45:24,458 maskrcnn_benchmark.trainer INFO: eta: 15:32:58 iter: 80 loss: 1.5171 (1.9005) loss_classifier: 0.0294 (0.1312) loss_box_reg: 0.0002 (0.0339) loss_objectness: 0.1297 (0.3509) loss_rpn_box_reg: 0.0177 (0.0333) loss_da_image: 0.6930 (0.6931) loss_da_instance: 0.6065 (0.6533) loss_da_consistency: 0.0068 (0.0048) time: 0.7981 (0.8006) data: 0.0610 (0.0729) lr: 0.000441 max mem: 4018
2019-10-25 13:45:40,537 maskrcnn_benchmark.trainer INFO: eta: 15:33:28 iter: 100 loss: 1.5121 (1.8442) loss_classifier: 0.0299 (0.1237) loss_box_reg: 0.0003 (0.0338) loss_objectness: 0.1427 (0.3132) loss_rpn_box_reg: 0.0307 (0.0339) loss_da_image: 0.6929 (0.6931) loss_da_instance: 0.5846 (0.6409) loss_da_consistency: 0.0087 (0.0056) time: 0.8035 (0.8013) data: 0.0591 (0.0704) lr: 0.000468 max mem: 4018
2019-10-25 13:45:56,778 maskrcnn_benchmark.trainer INFO: eta: 15:35:17 iter: 120 loss: 1.5934 (1.8246) loss_classifier: 0.1200 (0.1274) loss_box_reg: 0.0281 (0.0407) loss_objectness: 0.1531 (0.2893) loss_rpn_box_reg: 0.0366 (0.0362) loss_da_image: 0.6928 (0.6930) loss_da_instance: 0.5781 (0.6317) loss_da_consistency: 0.0093 (0.0062) time: 0.8122 (0.8031) data: 0.0611 (0.0689) lr: 0.000495 max mem: 4018
2019-10-25 13:46:13,468 maskrcnn_benchmark.trainer INFO: eta: 15:40:12 iter: 140 loss: 1.7059 (1.8079) loss_classifier: 0.1247 (0.1294) loss_box_reg: 0.0638 (0.0469) loss_objectness: 0.1614 (0.2704) loss_rpn_box_reg: 0.0297 (0.0367) loss_da_image: 0.6927 (0.6930) loss_da_instance: 0.5791 (0.6248) loss_da_consistency: 0.0103 (0.0068) time: 0.8357 (0.8075) data: 0.0626 (0.0681) lr: 0.000521 max mem: 4018
2019-10-25 13:46:30,307 maskrcnn_benchmark.trainer INFO: eta: 15:44:55 iter: 160 loss: 1.5435 (1.7869) loss_classifier: 0.0951 (0.1283) loss_box_reg: 0.0421 (0.0507) loss_objectness: 0.0955 (0.2526) loss_rpn_box_reg: 0.0253 (0.0361) loss_da_image: 0.6924 (0.6929) loss_da_instance: 0.5814 (0.6189) loss_da_consistency: 0.0111 (0.0074) time: 0.8417 (0.8118) data: 0.0626 (0.0675) lr: 0.000548 max mem: 4018
2019-10-25 13:46:47,256 maskrcnn_benchmark.trainer INFO: eta: 15:49:14 iter: 180 loss: 1.6456 (1.7791) loss_classifier: 0.1304 (0.1301) loss_box_reg: 0.0770 (0.0556) loss_objectness: 0.1126 (0.2408) loss_rpn_box_reg: 0.0300 (0.0373) loss_da_image: 0.6921 (0.6928) loss_da_instance: 0.5710 (0.6147) loss_da_consistency: 0.0118 (0.0079) time: 0.8483 (0.8157) data: 0.0644 (0.0671) lr: 0.000575 max mem: 4018
2019-10-25 13:47:04,313 maskrcnn_benchmark.trainer INFO: eta: 15:53:15 iter: 200 loss: 1.6202 (1.7652) loss_classifier: 0.1100 (0.1305) loss_box_reg: 0.0408 (0.0596) loss_objectness: 0.0982 (0.2291) loss_rpn_box_reg: 0.0308 (0.0369) loss_da_image: 0.6913 (0.6927) loss_da_instance: 0.5406 (0.6080) loss_da_consistency: 0.0129 (0.0084) time: 0.8529 (0.8194) data: 0.0649 (0.0669) lr: 0.000601 max mem: 4018
2019-10-25 13:47:21,473 maskrcnn_benchmark.trainer INFO: eta: 15:57:02 iter: 220 loss: 1.6272 (1.7598) loss_classifier: 0.1333 (0.1318) loss_box_reg: 0.0735 (0.0631) loss_objectness: 0.1246 (0.2209) loss_rpn_box_reg: 0.0445 (0.0385) loss_da_image: 0.6906 (0.6925) loss_da_instance: 0.5584 (0.6043) loss_da_consistency: 0.0131 (0.0089) time: 0.8556 (0.8229) data: 0.0657 (0.0669) lr: 0.000628 max mem: 4018
2019-10-25 13:47:38,644 maskrcnn_benchmark.trainer INFO: eta: 16:00:12 iter: 240 loss: 1.6791 (1.7528) loss_classifier: 0.1669 (0.1330) loss_box_reg: 0.0957 (0.0666) loss_objectness: 0.0993 (0.2121) loss_rpn_box_reg: 0.0273 (0.0383) loss_da_image: 0.6892 (0.6922) loss_da_instance: 0.5541 (0.6013) loss_da_consistency: 0.0134 (0.0093) time: 0.8577 (0.8259) data: 0.0657 (0.0669) lr: 0.000655 max mem: 4018
2019-10-25 13:47:55,833 maskrcnn_benchmark.trainer INFO: eta: 16:02:55 iter: 260 loss: 1.5582 (1.7465) loss_classifier: 0.1531 (0.1353) loss_box_reg: 0.0777 (0.0699) loss_objectness: 0.0788 (0.2035) loss_rpn_box_reg: 0.0298 (0.0381) loss_da_image: 0.6872 (0.6918) loss_da_instance: 0.5674 (0.5982) loss_da_consistency: 0.0144 (0.0097) time: 0.8581 (0.8284) data: 0.0652 (0.0669) lr: 0.000681 max mem: 4018
2019-10-25 13:48:13,002 maskrcnn_benchmark.trainer INFO: eta: 16:05:08 iter: 280 loss: 1.6068 (1.7370) loss_classifier: 0.1325 (0.1358) loss_box_reg: 0.0838 (0.0719) loss_objectness: 0.0730 (0.1947) loss_rpn_box_reg: 0.0200 (0.0374) loss_da_image: 0.6843 (0.6912) loss_da_instance: 0.5605 (0.5959) loss_da_consistency: 0.0147 (0.0101) time: 0.8567 (0.8306) data: 0.0656 (0.0668) lr: 0.000708 max mem: 4018
2019-10-25 13:48:30,168 maskrcnn_benchmark.trainer INFO: eta: 16:06:59 iter: 300 loss: 1.6152 (1.7288) loss_classifier: 0.1264 (0.1356) loss_box_reg: 0.0997 (0.0760) loss_objectness: 0.0667 (0.1866) loss_rpn_box_reg: 0.0159 (0.0364) loss_da_image: 0.6758 (0.6904) loss_da_instance: 0.5492 (0.5933) loss_da_consistency: 0.0159 (0.0104) time: 0.8573 (0.8324) data: 0.0646 (0.0667) lr: 0.000735 max mem: 4018
2019-10-25 13:48:47,371 maskrcnn_benchmark.trainer INFO: eta: 16:08:43 iter: 320 loss: 1.4868 (1.7222) loss_classifier: 0.1160 (0.1357) loss_box_reg: 0.0523 (0.0783) loss_objectness: 0.0630 (0.1813) loss_rpn_box_reg: 0.0188 (0.0365) loss_da_image: 0.6718 (0.6893) loss_da_instance: 0.5365 (0.5902) loss_da_consistency: 0.0156 (0.0108) time: 0.8584 (0.8342) data: 0.0652 (0.0666) lr: 0.000761 max mem: 4018
2019-10-25 13:49:04,475 maskrcnn_benchmark.trainer INFO: eta: 16:09:52 iter: 340 loss: 1.6185 (1.7132) loss_classifier: 0.1090 (0.1347) loss_box_reg: 0.0973 (0.0797) loss_objectness: 0.0541 (0.1746) loss_rpn_box_reg: 0.0201 (0.0357) loss_da_image: 0.6693 (0.6883) loss_da_instance: 0.5615 (0.5892) loss_da_consistency: 0.0154 (0.0111) time: 0.8547 (0.8354) data: 0.0653 (0.0666) lr: 0.000788 max mem: 4018
2019-10-25 13:49:21,584 maskrcnn_benchmark.trainer INFO: eta: 16:10:53 iter: 360 loss: 1.4797 (1.7062) loss_classifier: 0.0879 (0.1338) loss_box_reg: 0.0512 (0.0807) loss_objectness: 0.0476 (0.1692) loss_rpn_box_reg: 0.0191 (0.0352) loss_da_image: 0.6678 (0.6870) loss_da_instance: 0.5837 (0.5891) loss_da_consistency: 0.0156 (0.0113) time: 0.8542 (0.8365) data: 0.0636 (0.0664) lr: 0.000815 max mem: 4018
2019-10-25 13:49:38,587 maskrcnn_benchmark.trainer INFO: eta: 16:11:26 iter: 380 loss: 1.6922 (1.7084) loss_classifier: 0.1786 (0.1364) loss_box_reg: 0.1337 (0.0863) loss_objectness: 0.0661 (0.1642) loss_rpn_box_reg: 0.0244 (0.0350) loss_da_image: 0.6581 (0.6856) loss_da_instance: 0.5927 (0.5893) loss_da_consistency: 0.0145 (0.0115) time: 0.8493 (0.8372) data: 0.0643 (0.0664) lr: 0.000841 max mem: 4018
2019-10-25 13:49:55,537 maskrcnn_benchmark.trainer INFO: eta: 16:11:45 iter: 400 loss: 1.7506 (1.7104) loss_classifier: 0.1680 (0.1385) loss_box_reg: 0.1296 (0.0905) loss_objectness: 0.0989 (0.1616) loss_rpn_box_reg: 0.0330 (0.0355) loss_da_image: 0.6606 (0.6841) loss_da_instance: 0.5691 (0.5887) loss_da_consistency: 0.0140 (0.0116) time: 0.8450 (0.8377) data: 0.0638 (0.0663) lr: 0.000868 max mem: 4018
2019-10-25 13:50:12,445 maskrcnn_benchmark.trainer INFO: eta: 16:11:54 iter: 420 loss: 1.5910 (1.7063) loss_classifier: 0.1508 (0.1389) loss_box_reg: 0.1114 (0.0918) loss_objectness: 0.0646 (0.1577) loss_rpn_box_reg: 0.0271 (0.0352) loss_da_image: 0.6617 (0.6832) loss_da_instance: 0.5709 (0.5877) loss_da_consistency: 0.0142 (0.0117) time: 0.8445 (0.8381) data: 0.0643 (0.0662) lr: 0.000895 max mem: 4018
2019-10-25 13:50:29,269 maskrcnn_benchmark.trainer INFO: eta: 16:11:47 iter: 440 loss: 1.6337 (1.7019) loss_classifier: 0.1281 (0.1389) loss_box_reg: 0.1083 (0.0934) loss_objectness: 0.0684 (0.1537) loss_rpn_box_reg: 0.0231 (0.0349) loss_da_image: 0.6466 (0.6819) loss_da_instance: 0.5869 (0.5872) loss_da_consistency: 0.0150 (0.0119) time: 0.8413 (0.8382) data: 0.0618 (0.0661) lr: 0.000921 max mem: 4018
2019-10-25 13:50:46,071 maskrcnn_benchmark.trainer INFO: eta: 16:11:36 iter: 460 loss: 1.5953 (1.6962) loss_classifier: 0.1404 (0.1387) loss_box_reg: 0.0971 (0.0942) loss_objectness: 0.0445 (0.1498) loss_rpn_box_reg: 0.0236 (0.0347) loss_da_image: 0.6305 (0.6798) loss_da_instance: 0.5827 (0.5869) loss_da_consistency: 0.0150 (0.0120) time: 0.8404 (0.8383) data: 0.0630 (0.0660) lr: 0.000948 max mem: 4018
2019-10-25 13:51:02,833 maskrcnn_benchmark.trainer INFO: eta: 16:11:18 iter: 480 loss: 1.5950 (1.6949) loss_classifier: 0.1464 (0.1400) loss_box_reg: 0.1006 (0.0963) loss_objectness: 0.0722 (0.1468) loss_rpn_box_reg: 0.0196 (0.0346) loss_da_image: 0.6468 (0.6781) loss_da_instance: 0.5888 (0.5870) loss_da_consistency: 0.0131 (0.0121) time: 0.8389 (0.8383) data: 0.0625 (0.0658) lr: 0.000975 max mem: 4018
2019-10-25 13:51:19,575 maskrcnn_benchmark.trainer INFO: eta: 16:10:58 iter: 500 loss: 1.5500 (1.6904) loss_classifier: 0.0947 (0.1397) loss_box_reg: 0.0907 (0.0973) loss_objectness: 0.0505 (0.1444) loss_rpn_box_reg: 0.0121 (0.0346) loss_da_image: 0.6360 (0.6766) loss_da_instance: 0.5510 (0.5857) loss_da_consistency: 0.0129 (0.0121) time: 0.8361 (0.8383) data: 0.0619 (0.0657) lr: 0.001000 max mem: 4018
2019-10-25 13:51:36,355 maskrcnn_benchmark.trainer INFO: eta: 16:10:43 iter: 520 loss: 1.4512 (1.6883) loss_classifier: 0.1202 (0.1407) loss_box_reg: 0.0764 (0.0990) loss_objectness: 0.0479 (0.1416) loss_rpn_box_reg: 0.0206 (0.0343) loss_da_image: 0.6408 (0.6754) loss_da_instance: 0.5524 (0.5850) loss_da_consistency: 0.0152 (0.0122) time: 0.8388 (0.8383) data: 0.0630 (0.0656) lr: 0.001000 max mem: 4018
2019-10-25 13:51:53,098 maskrcnn_benchmark.trainer INFO: eta: 16:10:24 iter: 540 loss: 1.5682 (1.6874) loss_classifier: 0.1425 (0.1419) loss_box_reg: 0.1430 (0.1011) loss_objectness: 0.0560 (0.1388) loss_rpn_box_reg: 0.0205 (0.0340) loss_da_image: 0.6461 (0.6746) loss_da_instance: 0.5752 (0.5848) loss_da_consistency: 0.0136 (0.0123) time: 0.8366 (0.8382) data: 0.0627 (0.0655) lr: 0.001000 max mem: 4018
2019-10-25 13:52:09,818 maskrcnn_benchmark.trainer INFO: eta: 16:10:02 iter: 560 loss: 1.5463 (1.6849) loss_classifier: 0.1170 (0.1416) loss_box_reg: 0.1070 (0.1016) loss_objectness: 0.0415 (0.1357) loss_rpn_box_reg: 0.0172 (0.0335) loss_da_image: 0.6682 (0.6747) loss_da_instance: 0.5961 (0.5854) loss_da_consistency: 0.0130 (0.0123) time: 0.8365 (0.8382) data: 0.0622 (0.0654) lr: 0.001000 max mem: 4018
2019-10-25 13:52:26,567 maskrcnn_benchmark.trainer INFO: eta: 16:09:43 iter: 580 loss: 1.6122 (1.6850) loss_classifier: 0.1208 (0.1418) loss_box_reg: 0.1052 (0.1027) loss_objectness: 0.0490 (0.1342) loss_rpn_box_reg: 0.0251 (0.0341) loss_da_image: 0.6601 (0.6743) loss_da_instance: 0.5802 (0.5855) loss_da_consistency: 0.0132 (0.0124) time: 0.8375 (0.8381) data: 0.0632 (0.0654) lr: 0.001000 max mem: 4018
2019-10-25 13:52:43,361 maskrcnn_benchmark.trainer INFO: eta: 16:09:30 iter: 600 loss: 1.4877 (1.6792) loss_classifier: 0.1055 (0.1412) loss_box_reg: 0.1320 (0.1037) loss_objectness: 0.0498 (0.1315) loss_rpn_box_reg: 0.0143 (0.0337) loss_da_image: 0.6322 (0.6729) loss_da_instance: 0.5402 (0.5838) loss_da_consistency: 0.0150 (0.0125) time: 0.8401 (0.8382) data: 0.0642 (0.0653) lr: 0.001000 max mem: 4018
2019-10-25 13:53:00,113 maskrcnn_benchmark.trainer INFO: eta: 16:09:12 iter: 620 loss: 1.4736 (1.6753) loss_classifier: 0.1051 (0.1402) loss_box_reg: 0.0830 (0.1040) loss_objectness: 0.0461 (0.1289) loss_rpn_box_reg: 0.0143 (0.0334) loss_da_image: 0.6342 (0.6717) loss_da_instance: 0.6063 (0.5844) loss_da_consistency: 0.0160 (0.0126) time: 0.8373 (0.8382) data: 0.0636 (0.0653) lr: 0.001000 max mem: 4018
2019-10-25 13:53:16,894 maskrcnn_benchmark.trainer INFO: eta: 16:08:57 iter: 640 loss: 1.5562 (1.6728) loss_classifier: 0.0924 (0.1399) loss_box_reg: 0.0960 (0.1049) loss_objectness: 0.0508 (0.1265) loss_rpn_box_reg: 0.0175 (0.0332) loss_da_image: 0.6237 (0.6706) loss_da_instance: 0.6065 (0.5850) loss_da_consistency: 0.0135 (0.0126) time: 0.8393 (0.8382) data: 0.0635 (0.0652) lr: 0.001000 max mem: 4018
2019-10-25 13:53:33,657 maskrcnn_benchmark.trainer INFO: eta: 16:08:40 iter: 660 loss: 1.4855 (1.6695) loss_classifier: 0.1029 (0.1394) loss_box_reg: 0.1046 (0.1058) loss_objectness: 0.0400 (0.1241) loss_rpn_box_reg: 0.0172 (0.0330) loss_da_image: 0.6288 (0.6695) loss_da_instance: 0.5759 (0.5851) loss_da_consistency: 0.0129 (0.0126) time: 0.8371 (0.8382) data: 0.0641 (0.0652) lr: 0.001000 max mem: 4018
2019-10-25 13:53:50,377 maskrcnn_benchmark.trainer INFO: eta: 16:08:19 iter: 680 loss: 1.5421 (1.6686) loss_classifier: 0.1168 (0.1397) loss_box_reg: 0.1228 (0.1073) loss_objectness: 0.0470 (0.1228) loss_rpn_box_reg: 0.0207 (0.0332) loss_da_image: 0.6248 (0.6681) loss_da_instance: 0.5868 (0.5849) loss_da_consistency: 0.0133 (0.0127) time: 0.8360 (0.8381) data: 0.0632 (0.0651) lr: 0.001000 max mem: 4018
2019-10-25 13:54:07,108 maskrcnn_benchmark.trainer INFO: eta: 16:07:59 iter: 700 loss: 1.7241 (1.6698) loss_classifier: 0.1474 (0.1406) loss_box_reg: 0.1707 (0.1094) loss_objectness: 0.0471 (0.1212) loss_rpn_box_reg: 0.0307 (0.0332) loss_da_image: 0.6360 (0.6671) loss_da_instance: 0.6162 (0.5857) loss_da_consistency: 0.0122 (0.0126) time: 0.8371 (0.8381) data: 0.0628 (0.0651) lr: 0.001000 max mem: 4018
2019-10-25 13:54:23,779 maskrcnn_benchmark.trainer INFO: eta: 16:07:33 iter: 720 loss: 1.5309 (1.6676) loss_classifier: 0.1251 (0.1408) loss_box_reg: 0.1162 (0.1102) loss_objectness: 0.0470 (0.1194) loss_rpn_box_reg: 0.0178 (0.0330) loss_da_image: 0.6065 (0.6656) loss_da_instance: 0.5908 (0.5860) loss_da_consistency: 0.0124 (0.0126) time: 0.8340 (0.8380) data: 0.0630 (0.0650) lr: 0.001000 max mem: 4018
2019-10-25 13:54:40,449 maskrcnn_benchmark.trainer INFO: eta: 16:07:08 iter: 740 loss: 1.5189 (1.6645) loss_classifier: 0.0994 (0.1405) loss_box_reg: 0.1080 (0.1108) loss_objectness: 0.0585 (0.1177) loss_rpn_box_reg: 0.0190 (0.0329) loss_da_image: 0.6255 (0.6644) loss_da_instance: 0.5577 (0.5856) loss_da_consistency: 0.0113 (0.0126) time: 0.8332 (0.8378) data: 0.0637 (0.0650) lr: 0.001000 max mem: 4018
2019-10-25 13:54:57,120 maskrcnn_benchmark.trainer INFO: eta: 16:06:44 iter: 760 loss: 1.5299 (1.6636) loss_classifier: 0.1121 (0.1402) loss_box_reg: 0.1200 (0.1119) loss_objectness: 0.0386 (0.1165) loss_rpn_box_reg: 0.0160 (0.0330) loss_da_image: 0.6148 (0.6635) loss_da_instance: 0.6024 (0.5859) loss_da_consistency: 0.0130 (0.0126) time: 0.8339 (0.8377) data: 0.0639 (0.0650) lr: 0.001000 max mem: 4018
2019-10-25 13:55:13,815 maskrcnn_benchmark.trainer INFO: eta: 16:06:22 iter: 780 loss: 1.6014 (1.6621) loss_classifier: 0.1341 (0.1404) loss_box_reg: 0.1446 (0.1129) loss_objectness: 0.0518 (0.1150) loss_rpn_box_reg: 0.0242 (0.0329) loss_da_image: 0.6261 (0.6626) loss_da_instance: 0.5710 (0.5856) loss_da_consistency: 0.0124 (0.0126) time: 0.8352 (0.8377) data: 0.0624 (0.0649) lr: 0.001000 max mem: 4018
2019-10-25 13:55:30,496 maskrcnn_benchmark.trainer INFO: eta: 16:05:59 iter: 800 loss: 1.5634 (1.6605) loss_classifier: 0.0932 (0.1400) loss_box_reg: 0.1218 (0.1136) loss_objectness: 0.0440 (0.1136) loss_rpn_box_reg: 0.0205 (0.0328) loss_da_image: 0.6314 (0.6620) loss_da_instance: 0.5870 (0.5859) loss_da_consistency: 0.0137 (0.0126) time: 0.8334 (0.8376) data: 0.0634 (0.0649) lr: 0.001000 max mem: 4018
2019-10-25 13:55:47,203 maskrcnn_benchmark.trainer INFO: eta: 16:05:38 iter: 820 loss: 1.6989 (1.6617) loss_classifier: 0.1543 (0.1408) loss_box_reg: 0.1786 (0.1157) loss_objectness: 0.0565 (0.1127) loss_rpn_box_reg: 0.0377 (0.0329) loss_da_image: 0.6270 (0.6612) loss_da_instance: 0.5793 (0.5858) loss_da_consistency: 0.0134 (0.0127) time: 0.8351 (0.8375) data: 0.0640 (0.0649) lr: 0.001000 max mem: 4018
2019-10-25 13:56:03,909 maskrcnn_benchmark.trainer INFO: eta: 16:05:18 iter: 840 loss: 1.4727 (1.6582) loss_classifier: 0.1083 (0.1401) loss_box_reg: 0.0994 (0.1160) loss_objectness: 0.0275 (0.1108) loss_rpn_box_reg: 0.0114 (0.0325) loss_da_image: 0.6153 (0.6601) loss_da_instance: 0.6050 (0.5862) loss_da_consistency: 0.0114 (0.0126) time: 0.8347 (0.8375) data: 0.0628 (0.0649) lr: 0.001000 max mem: 4018
2019-10-25 13:56:20,608 maskrcnn_benchmark.trainer INFO: eta: 16:04:57 iter: 860 loss: 1.5684 (1.6574) loss_classifier: 0.1127 (0.1398) loss_box_reg: 0.1129 (0.1172) loss_objectness: 0.0471 (0.1094) loss_rpn_box_reg: 0.0180 (0.0323) loss_da_image: 0.6291 (0.6594) loss_da_instance: 0.6018 (0.5865) loss_da_consistency: 0.0128 (0.0126) time: 0.8358 (0.8374) data: 0.0632 (0.0648) lr: 0.001000 max mem: 4018
2019-10-25 13:56:37,310 maskrcnn_benchmark.trainer INFO: eta: 16:04:37 iter: 880 loss: 1.5607 (1.6556) loss_classifier: 0.1083 (0.1392) loss_box_reg: 0.1192 (0.1182) loss_objectness: 0.0312 (0.1078) loss_rpn_box_reg: 0.0175 (0.0320) loss_da_image: 0.6245 (0.6588) loss_da_instance: 0.6053 (0.5869) loss_da_consistency: 0.0109 (0.0126) time: 0.8364 (0.8373) data: 0.0640 (0.0648) lr: 0.001000 max mem: 4018
2019-10-25 13:56:54,038 maskrcnn_benchmark.trainer INFO: eta: 16:04:19 iter: 900 loss: 1.6146 (1.6551) loss_classifier: 0.1416 (0.1392) loss_box_reg: 0.1306 (0.1188) loss_objectness: 0.0377 (0.1066) loss_rpn_box_reg: 0.0203 (0.0318) loss_da_image: 0.6392 (0.6585) loss_da_instance: 0.6198 (0.5875) loss_da_consistency: 0.0130 (0.0126) time: 0.8357 (0.8373) data: 0.0638 (0.0648) lr: 0.001000 max mem: 4018
2019-10-25 13:57:10,732 maskrcnn_benchmark.trainer INFO: eta: 16:03:58 iter: 920 loss: 1.4872 (1.6519) loss_classifier: 0.0991 (0.1385) loss_box_reg: 0.1080 (0.1188) loss_objectness: 0.0457 (0.1054) loss_rpn_box_reg: 0.0165 (0.0316) loss_da_image: 0.5896 (0.6572) loss_da_instance: 0.5800 (0.5876) loss_da_consistency: 0.0133 (0.0126) time: 0.8327 (0.8373) data: 0.0633 (0.0647) lr: 0.001000 max mem: 4018
2019-10-25 13:57:27,466 maskrcnn_benchmark.trainer INFO: eta: 16:03:40 iter: 940 loss: 1.5312 (1.6507) loss_classifier: 0.1133 (0.1384) loss_box_reg: 0.1178 (0.1194) loss_objectness: 0.0404 (0.1043) loss_rpn_box_reg: 0.0245 (0.0318) loss_da_image: 0.6170 (0.6564) loss_da_instance: 0.5859 (0.5878) loss_da_consistency: 0.0125 (0.0126) time: 0.8365 (0.8373) data: 0.0642 (0.0647) lr: 0.001000 max mem: 4018
2019-10-25 13:57:44,163 maskrcnn_benchmark.trainer INFO: eta: 16:03:20 iter: 960 loss: 1.4736 (1.6491) loss_classifier: 0.1151 (0.1382) loss_box_reg: 0.1106 (0.1200) loss_objectness: 0.0303 (0.1029) loss_rpn_box_reg: 0.0162 (0.0316) loss_da_image: 0.6232 (0.6558) loss_da_instance: 0.5915 (0.5879) loss_da_consistency: 0.0127 (0.0126) time: 0.8348 (0.8372) data: 0.0637 (0.0647) lr: 0.001000 max mem: 4018
2019-10-25 13:58:00,889 maskrcnn_benchmark.trainer INFO: eta: 16:03:02 iter: 980 loss: 1.6794 (1.6497) loss_classifier: 0.1577 (0.1386) loss_box_reg: 0.1504 (0.1211) loss_objectness: 0.0537 (0.1023) loss_rpn_box_reg: 0.0284 (0.0315) loss_da_image: 0.6198 (0.6555) loss_da_instance: 0.5867 (0.5881) loss_da_consistency: 0.0122 (0.0126) time: 0.8355 (0.8372) data: 0.0640 (0.0647) lr: 0.001000 max mem: 4018
2019-10-25 13:58:17,563 maskrcnn_benchmark.trainer INFO: eta: 16:02:41 iter: 1000 loss: 1.6252 (1.6501) loss_classifier: 0.1745 (0.1393) loss_box_reg: 0.1804 (0.1220) loss_objectness: 0.0412 (0.1014) loss_rpn_box_reg: 0.0264 (0.0315) loss_da_image: 0.6301 (0.6550) loss_da_instance: 0.5805 (0.5883) loss_da_consistency: 0.0121 (0.0126) time: 0.8322 (0.8371) data: 0.0631 (0.0647) lr: 0.001000 max mem: 4018
2019-10-25 13:58:34,262 maskrcnn_benchmark.trainer INFO: eta: 16:02:21 iter: 1020 loss: 1.6335 (1.6505) loss_classifier: 0.1270 (0.1394) loss_box_reg: 0.1576 (0.1227) loss_objectness: 0.0470 (0.1007) loss_rpn_box_reg: 0.0253 (0.0316) loss_da_image: 0.6255 (0.6545) loss_da_instance: 0.6336 (0.5891) loss_da_consistency: 0.0111 (0.0126) time: 0.8348 (0.8371) data: 0.0628 (0.0646) lr: 0.001000 max mem: 4018
2019-10-25 13:58:51,033 maskrcnn_benchmark.trainer INFO: eta: 16:02:06 iter: 1040 loss: 1.5908 (1.6504) loss_classifier: 0.1186 (0.1392) loss_box_reg: 0.1189 (0.1235) loss_objectness: 0.0412 (0.0998) loss_rpn_box_reg: 0.0251 (0.0316) loss_da_image: 0.6337 (0.6541) loss_da_instance: 0.6221 (0.5898) loss_da_consistency: 0.0114 (0.0126) time: 0.8369 (0.8371) data: 0.0626 (0.0646) lr: 0.001000 max mem: 4018
2019-10-25 13:59:07,800 maskrcnn_benchmark.trainer INFO: eta: 16:01:51 iter: 1060 loss: 1.5587 (1.6495) loss_classifier: 0.1115 (0.1392) loss_box_reg: 0.1288 (0.1240) loss_objectness: 0.0359 (0.0988) loss_rpn_box_reg: 0.0222 (0.0316) loss_da_image: 0.6212 (0.6533) loss_da_instance: 0.5949 (0.5901) loss_da_consistency: 0.0106 (0.0125) time: 0.8387 (0.8371) data: 0.0638 (0.0646) lr: 0.001000 max mem: 4018
2019-10-25 13:59:24,555 maskrcnn_benchmark.trainer INFO: eta: 16:01:35 iter: 1080 loss: 1.5275 (1.6478) loss_classifier: 0.1118 (0.1387) loss_box_reg: 0.1111 (0.1240) loss_objectness: 0.0351 (0.0979) loss_rpn_box_reg: 0.0142 (0.0315) loss_da_image: 0.6259 (0.6529) loss_da_instance: 0.6108 (0.5903) loss_da_consistency: 0.0115 (0.0125) time: 0.8395 (0.8371) data: 0.0629 (0.0646) lr: 0.001000 max mem: 4018
2019-10-25 13:59:41,335 maskrcnn_benchmark.trainer INFO: eta: 16:01:21 iter: 1100 loss: 1.5599 (1.6470) loss_classifier: 0.0905 (0.1386) loss_box_reg: 0.1047 (0.1239) loss_objectness: 0.0287 (0.0971) loss_rpn_box_reg: 0.0217 (0.0315) loss_da_image: 0.6272 (0.6525) loss_da_instance: 0.6016 (0.5908) loss_da_consistency: 0.0106 (0.0125) time: 0.8384 (0.8372) data: 0.0626 (0.0646) lr: 0.001000 max mem: 4018
2019-10-25 13:59:58,042 maskrcnn_benchmark.trainer INFO: eta: 16:01:02 iter: 1120 loss: 1.5067 (1.6453) loss_classifier: 0.1080 (0.1381) loss_box_reg: 0.0810 (0.1234) loss_objectness: 0.0374 (0.0964) loss_rpn_box_reg: 0.0143 (0.0315) loss_da_image: 0.6222 (0.6521) loss_da_instance: 0.6309 (0.5913) loss_da_consistency: 0.0106 (0.0125) time: 0.8350 (0.8371) data: 0.0630 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 14:00:14,775 maskrcnn_benchmark.trainer INFO: eta: 16:00:44 iter: 1140 loss: 1.5409 (1.6447) loss_classifier: 0.1211 (0.1381) loss_box_reg: 0.1065 (0.1240) loss_objectness: 0.0536 (0.0956) loss_rpn_box_reg: 0.0176 (0.0313) loss_da_image: 0.6315 (0.6518) loss_da_instance: 0.5960 (0.5914) loss_da_consistency: 0.0112 (0.0124) time: 0.8367 (0.8371) data: 0.0636 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 14:00:31,501 maskrcnn_benchmark.trainer INFO: eta: 16:00:27 iter: 1160 loss: 1.5725 (1.6440) loss_classifier: 0.1097 (0.1379) loss_box_reg: 0.1110 (0.1243) loss_objectness: 0.0280 (0.0947) loss_rpn_box_reg: 0.0176 (0.0312) loss_da_image: 0.6618 (0.6519) loss_da_instance: 0.6071 (0.5917) loss_da_consistency: 0.0118 (0.0124) time: 0.8343 (0.8371) data: 0.0640 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 14:00:48,207 maskrcnn_benchmark.trainer INFO: eta: 16:00:08 iter: 1180 loss: 1.5651 (1.6429) loss_classifier: 0.1042 (0.1373) loss_box_reg: 0.0989 (0.1244) loss_objectness: 0.0354 (0.0938) loss_rpn_box_reg: 0.0189 (0.0310) loss_da_image: 0.6337 (0.6517) loss_da_instance: 0.6248 (0.5924) loss_da_consistency: 0.0110 (0.0124) time: 0.8349 (0.8371) data: 0.0629 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 14:01:04,873 maskrcnn_benchmark.trainer INFO: eta: 15:59:47 iter: 1200 loss: 1.6280 (1.6421) loss_classifier: 0.1173 (0.1372) loss_box_reg: 0.1388 (0.1247) loss_objectness: 0.0400 (0.0930) loss_rpn_box_reg: 0.0220 (0.0309) loss_da_image: 0.6307 (0.6513) loss_da_instance: 0.6142 (0.5927) loss_da_consistency: 0.0121 (0.0124) time: 0.8334 (0.8370) data: 0.0629 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 14:01:21,550 maskrcnn_benchmark.trainer INFO: eta: 15:59:26 iter: 1220 loss: 1.5234 (1.6408) loss_classifier: 0.1170 (0.1368) loss_box_reg: 0.1222 (0.1248) loss_objectness: 0.0310 (0.0921) loss_rpn_box_reg: 0.0139 (0.0306) loss_da_image: 0.6341 (0.6512) loss_da_instance: 0.5999 (0.5930) loss_da_consistency: 0.0118 (0.0124) time: 0.8331 (0.8370) data: 0.0615 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:01:38,271 maskrcnn_benchmark.trainer INFO: eta: 15:59:09 iter: 1240 loss: 1.6075 (1.6405) loss_classifier: 0.0991 (0.1364) loss_box_reg: 0.1173 (0.1248) loss_objectness: 0.0356 (0.0913) loss_rpn_box_reg: 0.0196 (0.0305) loss_da_image: 0.6719 (0.6516) loss_da_instance: 0.6081 (0.5935) loss_da_consistency: 0.0126 (0.0124) time: 0.8366 (0.8370) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:01:55,008 maskrcnn_benchmark.trainer INFO: eta: 15:58:52 iter: 1260 loss: 1.7786 (1.6425) loss_classifier: 0.1571 (0.1368) loss_box_reg: 0.2053 (0.1259) loss_objectness: 0.0358 (0.0907) loss_rpn_box_reg: 0.0193 (0.0306) loss_da_image: 0.6739 (0.6521) loss_da_instance: 0.6372 (0.5941) loss_da_consistency: 0.0105 (0.0124) time: 0.8358 (0.8370) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:02:11,656 maskrcnn_benchmark.trainer INFO: eta: 15:58:30 iter: 1280 loss: 1.6480 (1.6432) loss_classifier: 0.1109 (0.1367) loss_box_reg: 0.1299 (0.1262) loss_objectness: 0.0328 (0.0900) loss_rpn_box_reg: 0.0106 (0.0304) loss_da_image: 0.6805 (0.6526) loss_da_instance: 0.6562 (0.5950) loss_da_consistency: 0.0117 (0.0124) time: 0.8314 (0.8369) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:02:28,320 maskrcnn_benchmark.trainer INFO: eta: 15:58:09 iter: 1300 loss: 1.5540 (1.6423) loss_classifier: 0.0874 (0.1363) loss_box_reg: 0.0839 (0.1257) loss_objectness: 0.0315 (0.0893) loss_rpn_box_reg: 0.0212 (0.0303) loss_da_image: 0.6598 (0.6526) loss_da_instance: 0.6399 (0.5957) loss_da_consistency: 0.0100 (0.0123) time: 0.8323 (0.8368) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:02:44,946 maskrcnn_benchmark.trainer INFO: eta: 15:57:47 iter: 1320 loss: 1.5394 (1.6424) loss_classifier: 0.0854 (0.1361) loss_box_reg: 0.0581 (0.1254) loss_objectness: 0.0340 (0.0887) loss_rpn_box_reg: 0.0159 (0.0303) loss_da_image: 0.6769 (0.6531) loss_da_instance: 0.6388 (0.5965) loss_da_consistency: 0.0090 (0.0123) time: 0.8289 (0.8367) data: 0.0626 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:03:01,630 maskrcnn_benchmark.trainer INFO: eta: 15:57:28 iter: 1340 loss: 1.6878 (1.6436) loss_classifier: 0.1000 (0.1361) loss_box_reg: 0.1489 (0.1258) loss_objectness: 0.0318 (0.0882) loss_rpn_box_reg: 0.0172 (0.0302) loss_da_image: 0.7074 (0.6539) loss_da_instance: 0.6237 (0.5971) loss_da_consistency: 0.0091 (0.0122) time: 0.8313 (0.8367) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:03:18,359 maskrcnn_benchmark.trainer INFO: eta: 15:57:11 iter: 1360 loss: 1.5603 (1.6433) loss_classifier: 0.0842 (0.1357) loss_box_reg: 0.0746 (0.1256) loss_objectness: 0.0328 (0.0876) loss_rpn_box_reg: 0.0172 (0.0302) loss_da_image: 0.6717 (0.6543) loss_da_instance: 0.6274 (0.5977) loss_da_consistency: 0.0098 (0.0122) time: 0.8361 (0.8367) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:03:35,091 maskrcnn_benchmark.trainer INFO: eta: 15:56:54 iter: 1380 loss: 1.6067 (1.6442) loss_classifier: 0.1401 (0.1361) loss_box_reg: 0.1161 (0.1258) loss_objectness: 0.0434 (0.0872) loss_rpn_box_reg: 0.0198 (0.0302) loss_da_image: 0.6539 (0.6545) loss_da_instance: 0.6413 (0.5983) loss_da_consistency: 0.0096 (0.0122) time: 0.8369 (0.8367) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:03:51,814 maskrcnn_benchmark.trainer INFO: eta: 15:56:36 iter: 1400 loss: 1.5657 (1.6442) loss_classifier: 0.1116 (0.1360) loss_box_reg: 0.1247 (0.1260) loss_objectness: 0.0297 (0.0866) loss_rpn_box_reg: 0.0108 (0.0301) loss_da_image: 0.6601 (0.6546) loss_da_instance: 0.6342 (0.5988) loss_da_consistency: 0.0084 (0.0121) time: 0.8364 (0.8367) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:04:08,562 maskrcnn_benchmark.trainer INFO: eta: 15:56:20 iter: 1420 loss: 1.5647 (1.6436) loss_classifier: 0.1259 (0.1360) loss_box_reg: 0.1103 (0.1263) loss_objectness: 0.0358 (0.0859) loss_rpn_box_reg: 0.0202 (0.0300) loss_da_image: 0.6439 (0.6544) loss_da_instance: 0.6062 (0.5990) loss_da_consistency: 0.0089 (0.0121) time: 0.8366 (0.8367) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:04:25,222 maskrcnn_benchmark.trainer INFO: eta: 15:56:00 iter: 1440 loss: 1.5040 (1.6424) loss_classifier: 0.1079 (0.1355) loss_box_reg: 0.0894 (0.1258) loss_objectness: 0.0324 (0.0854) loss_rpn_box_reg: 0.0195 (0.0300) loss_da_image: 0.6486 (0.6544) loss_da_instance: 0.5994 (0.5992) loss_da_consistency: 0.0106 (0.0120) time: 0.8339 (0.8366) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:04:41,890 maskrcnn_benchmark.trainer INFO: eta: 15:55:40 iter: 1460 loss: 1.5241 (1.6418) loss_classifier: 0.0953 (0.1354) loss_box_reg: 0.1203 (0.1261) loss_objectness: 0.0328 (0.0848) loss_rpn_box_reg: 0.0172 (0.0299) loss_da_image: 0.6564 (0.6544) loss_da_instance: 0.5946 (0.5992) loss_da_consistency: 0.0118 (0.0120) time: 0.8350 (0.8366) data: 0.0645 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:04:58,555 maskrcnn_benchmark.trainer INFO: eta: 15:55:21 iter: 1480 loss: 1.6814 (1.6427) loss_classifier: 0.1300 (0.1355) loss_box_reg: 0.1391 (0.1265) loss_objectness: 0.0386 (0.0843) loss_rpn_box_reg: 0.0241 (0.0298) loss_da_image: 0.6692 (0.6547) loss_da_instance: 0.6382 (0.5999) loss_da_consistency: 0.0106 (0.0120) time: 0.8331 (0.8366) data: 0.0638 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:05:15,245 maskrcnn_benchmark.trainer INFO: eta: 15:55:02 iter: 1500 loss: 1.5902 (1.6423) loss_classifier: 0.0985 (0.1351) loss_box_reg: 0.1073 (0.1265) loss_objectness: 0.0350 (0.0837) loss_rpn_box_reg: 0.0244 (0.0299) loss_da_image: 0.6662 (0.6549) loss_da_instance: 0.6077 (0.6002) loss_da_consistency: 0.0097 (0.0120) time: 0.8349 (0.8365) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:05:31,961 maskrcnn_benchmark.trainer INFO: eta: 15:54:45 iter: 1520 loss: 1.5215 (1.6414) loss_classifier: 0.0775 (0.1346) loss_box_reg: 0.0878 (0.1263) loss_objectness: 0.0284 (0.0831) loss_rpn_box_reg: 0.0183 (0.0297) loss_da_image: 0.6684 (0.6550) loss_da_instance: 0.6254 (0.6006) loss_da_consistency: 0.0103 (0.0120) time: 0.8349 (0.8365) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:05:48,656 maskrcnn_benchmark.trainer INFO: eta: 15:54:26 iter: 1540 loss: 1.4883 (1.6407) loss_classifier: 0.0758 (0.1343) loss_box_reg: 0.0591 (0.1261) loss_objectness: 0.0266 (0.0825) loss_rpn_box_reg: 0.0110 (0.0296) loss_da_image: 0.6692 (0.6553) loss_da_instance: 0.6209 (0.6010) loss_da_consistency: 0.0105 (0.0120) time: 0.8336 (0.8365) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:06:05,359 maskrcnn_benchmark.trainer INFO: eta: 15:54:08 iter: 1560 loss: 1.6225 (1.6404) loss_classifier: 0.0978 (0.1341) loss_box_reg: 0.1129 (0.1261) loss_objectness: 0.0273 (0.0819) loss_rpn_box_reg: 0.0194 (0.0295) loss_da_image: 0.6618 (0.6554) loss_da_instance: 0.6235 (0.6015) loss_da_consistency: 0.0090 (0.0119) time: 0.8340 (0.8365) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:06:22,094 maskrcnn_benchmark.trainer INFO: eta: 15:53:52 iter: 1580 loss: 1.5896 (1.6402) loss_classifier: 0.1126 (0.1339) loss_box_reg: 0.0984 (0.1261) loss_objectness: 0.0476 (0.0817) loss_rpn_box_reg: 0.0276 (0.0295) loss_da_image: 0.6569 (0.6555) loss_da_instance: 0.6217 (0.6017) loss_da_consistency: 0.0092 (0.0119) time: 0.8365 (0.8365) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:06:38,857 maskrcnn_benchmark.trainer INFO: eta: 15:53:37 iter: 1600 loss: 1.6305 (1.6407) loss_classifier: 0.1270 (0.1340) loss_box_reg: 0.1206 (0.1263) loss_objectness: 0.0442 (0.0813) loss_rpn_box_reg: 0.0377 (0.0296) loss_da_image: 0.6553 (0.6555) loss_da_instance: 0.6204 (0.6021) loss_da_consistency: 0.0099 (0.0119) time: 0.8383 (0.8365) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:06:55,552 maskrcnn_benchmark.trainer INFO: eta: 15:53:18 iter: 1620 loss: 1.5204 (1.6405) loss_classifier: 0.0817 (0.1337) loss_box_reg: 0.0870 (0.1262) loss_objectness: 0.0275 (0.0809) loss_rpn_box_reg: 0.0138 (0.0297) loss_da_image: 0.6577 (0.6557) loss_da_instance: 0.6349 (0.6025) loss_da_consistency: 0.0097 (0.0119) time: 0.8345 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:07:12,230 maskrcnn_benchmark.trainer INFO: eta: 15:52:59 iter: 1640 loss: 1.6156 (1.6407) loss_classifier: 0.1222 (0.1337) loss_box_reg: 0.1285 (0.1265) loss_objectness: 0.0341 (0.0805) loss_rpn_box_reg: 0.0175 (0.0296) loss_da_image: 0.6612 (0.6558) loss_da_instance: 0.6314 (0.6028) loss_da_consistency: 0.0087 (0.0118) time: 0.8335 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:07:28,828 maskrcnn_benchmark.trainer INFO: eta: 15:52:37 iter: 1660 loss: 1.5859 (1.6404) loss_classifier: 0.1186 (0.1335) loss_box_reg: 0.1139 (0.1266) loss_objectness: 0.0305 (0.0800) loss_rpn_box_reg: 0.0143 (0.0295) loss_da_image: 0.6483 (0.6558) loss_da_instance: 0.6296 (0.6032) loss_da_consistency: 0.0095 (0.0118) time: 0.8296 (0.8364) data: 0.0672 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:07:45,435 maskrcnn_benchmark.trainer INFO: eta: 15:52:16 iter: 1680 loss: 1.6341 (1.6405) loss_classifier: 0.1187 (0.1335) loss_box_reg: 0.1315 (0.1268) loss_objectness: 0.0388 (0.0795) loss_rpn_box_reg: 0.0207 (0.0295) loss_da_image: 0.6544 (0.6558) loss_da_instance: 0.6370 (0.6036) loss_da_consistency: 0.0103 (0.0118) time: 0.8294 (0.8363) data: 0.0677 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:08:02,035 maskrcnn_benchmark.trainer INFO: eta: 15:51:54 iter: 1700 loss: 1.5413 (1.6399) loss_classifier: 0.0604 (0.1332) loss_box_reg: 0.0805 (0.1267) loss_objectness: 0.0281 (0.0790) loss_rpn_box_reg: 0.0123 (0.0294) loss_da_image: 0.6488 (0.6557) loss_da_instance: 0.6412 (0.6041) loss_da_consistency: 0.0106 (0.0118) time: 0.8291 (0.8362) data: 0.0674 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:08:18,688 maskrcnn_benchmark.trainer INFO: eta: 15:51:34 iter: 1720 loss: 1.4879 (1.6383) loss_classifier: 0.0724 (0.1326) loss_box_reg: 0.0714 (0.1263) loss_objectness: 0.0191 (0.0783) loss_rpn_box_reg: 0.0153 (0.0293) loss_da_image: 0.6471 (0.6557) loss_da_instance: 0.6172 (0.6044) loss_da_consistency: 0.0089 (0.0117) time: 0.8332 (0.8362) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:08:35,366 maskrcnn_benchmark.trainer INFO: eta: 15:51:16 iter: 1740 loss: 1.6162 (1.6380) loss_classifier: 0.1294 (0.1326) loss_box_reg: 0.1463 (0.1264) loss_objectness: 0.0255 (0.0779) loss_rpn_box_reg: 0.0213 (0.0293) loss_da_image: 0.6507 (0.6555) loss_da_instance: 0.6240 (0.6045) loss_da_consistency: 0.0104 (0.0117) time: 0.8342 (0.8362) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 14:08:52,026 maskrcnn_benchmark.trainer INFO: eta: 15:50:57 iter: 1760 loss: 1.5944 (1.6380) loss_classifier: 0.1038 (0.1325) loss_box_reg: 0.1683 (0.1268) loss_objectness: 0.0276 (0.0775) loss_rpn_box_reg: 0.0169 (0.0292) loss_da_image: 0.6479 (0.6554) loss_da_instance: 0.6551 (0.6050) loss_da_consistency: 0.0103 (0.0117) time: 0.8325 (0.8361) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:09:08,698 maskrcnn_benchmark.trainer INFO: eta: 15:50:38 iter: 1780 loss: 1.5275 (1.6372) loss_classifier: 0.0882 (0.1322) loss_box_reg: 0.0939 (0.1265) loss_objectness: 0.0260 (0.0769) loss_rpn_box_reg: 0.0147 (0.0292) loss_da_image: 0.6489 (0.6555) loss_da_instance: 0.6284 (0.6053) loss_da_consistency: 0.0088 (0.0117) time: 0.8343 (0.8361) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:09:25,371 maskrcnn_benchmark.trainer INFO: eta: 15:50:19 iter: 1800 loss: 1.5482 (1.6367) loss_classifier: 0.1068 (0.1319) loss_box_reg: 0.1064 (0.1264) loss_objectness: 0.0347 (0.0765) loss_rpn_box_reg: 0.0156 (0.0291) loss_da_image: 0.6627 (0.6555) loss_da_instance: 0.6423 (0.6058) loss_da_consistency: 0.0094 (0.0116) time: 0.8339 (0.8361) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:09:42,036 maskrcnn_benchmark.trainer INFO: eta: 15:50:01 iter: 1820 loss: 1.5859 (1.6368) loss_classifier: 0.1004 (0.1318) loss_box_reg: 0.0943 (0.1265) loss_objectness: 0.0243 (0.0760) loss_rpn_box_reg: 0.0188 (0.0290) loss_da_image: 0.6625 (0.6556) loss_da_instance: 0.6516 (0.6062) loss_da_consistency: 0.0090 (0.0116) time: 0.8333 (0.8360) data: 0.0624 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:09:58,721 maskrcnn_benchmark.trainer INFO: eta: 15:49:43 iter: 1840 loss: 1.6318 (1.6368) loss_classifier: 0.1215 (0.1317) loss_box_reg: 0.1296 (0.1269) loss_objectness: 0.0321 (0.0756) loss_rpn_box_reg: 0.0226 (0.0290) loss_da_image: 0.6547 (0.6556) loss_da_instance: 0.6451 (0.6065) loss_da_consistency: 0.0091 (0.0116) time: 0.8336 (0.8360) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:10:15,401 maskrcnn_benchmark.trainer INFO: eta: 15:49:24 iter: 1860 loss: 1.5703 (1.6371) loss_classifier: 0.1063 (0.1316) loss_box_reg: 0.1300 (0.1271) loss_objectness: 0.0310 (0.0752) loss_rpn_box_reg: 0.0180 (0.0288) loss_da_image: 0.6674 (0.6557) loss_da_instance: 0.6519 (0.6070) loss_da_consistency: 0.0085 (0.0116) time: 0.8338 (0.8360) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:10:32,095 maskrcnn_benchmark.trainer INFO: eta: 15:49:07 iter: 1880 loss: 1.5580 (1.6365) loss_classifier: 0.0864 (0.1312) loss_box_reg: 0.0890 (0.1269) loss_objectness: 0.0264 (0.0748) loss_rpn_box_reg: 0.0140 (0.0287) loss_da_image: 0.6648 (0.6559) loss_da_instance: 0.6480 (0.6074) loss_da_consistency: 0.0086 (0.0115) time: 0.8337 (0.8360) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:10:48,795 maskrcnn_benchmark.trainer INFO: eta: 15:48:49 iter: 1900 loss: 1.5740 (1.6359) loss_classifier: 0.0989 (0.1310) loss_box_reg: 0.1199 (0.1269) loss_objectness: 0.0293 (0.0743) loss_rpn_box_reg: 0.0213 (0.0287) loss_da_image: 0.6512 (0.6559) loss_da_instance: 0.6331 (0.6076) loss_da_consistency: 0.0090 (0.0115) time: 0.8339 (0.8360) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:11:05,487 maskrcnn_benchmark.trainer INFO: eta: 15:48:32 iter: 1920 loss: 1.7605 (1.6367) loss_classifier: 0.1433 (0.1311) loss_box_reg: 0.1628 (0.1273) loss_objectness: 0.0363 (0.0741) loss_rpn_box_reg: 0.0197 (0.0287) loss_da_image: 0.6685 (0.6560) loss_da_instance: 0.6402 (0.6079) loss_da_consistency: 0.0084 (0.0115) time: 0.8344 (0.8360) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:11:22,179 maskrcnn_benchmark.trainer INFO: eta: 15:48:14 iter: 1940 loss: 1.5854 (1.6367) loss_classifier: 0.1168 (0.1310) loss_box_reg: 0.0903 (0.1274) loss_objectness: 0.0256 (0.0738) loss_rpn_box_reg: 0.0137 (0.0286) loss_da_image: 0.6672 (0.6561) loss_da_instance: 0.6373 (0.6083) loss_da_consistency: 0.0091 (0.0115) time: 0.8348 (0.8359) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:11:38,850 maskrcnn_benchmark.trainer INFO: eta: 15:47:56 iter: 1960 loss: 1.5994 (1.6366) loss_classifier: 0.1093 (0.1309) loss_box_reg: 0.1147 (0.1276) loss_objectness: 0.0248 (0.0733) loss_rpn_box_reg: 0.0251 (0.0286) loss_da_image: 0.6697 (0.6562) loss_da_instance: 0.6362 (0.6086) loss_da_consistency: 0.0082 (0.0114) time: 0.8325 (0.8359) data: 0.0676 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:11:55,483 maskrcnn_benchmark.trainer INFO: eta: 15:47:36 iter: 1980 loss: 1.5217 (1.6359) loss_classifier: 0.0709 (0.1305) loss_box_reg: 0.0849 (0.1275) loss_objectness: 0.0258 (0.0728) loss_rpn_box_reg: 0.0116 (0.0285) loss_da_image: 0.6652 (0.6564) loss_da_instance: 0.6245 (0.6089) loss_da_consistency: 0.0089 (0.0114) time: 0.8303 (0.8359) data: 0.0670 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:12:12,216 maskrcnn_benchmark.trainer INFO: eta: 15:47:20 iter: 2000 loss: 1.5498 (1.6364) loss_classifier: 0.0961 (0.1305) loss_box_reg: 0.0899 (0.1275) loss_objectness: 0.0352 (0.0726) loss_rpn_box_reg: 0.0133 (0.0285) loss_da_image: 0.6688 (0.6565) loss_da_instance: 0.6485 (0.6094) loss_da_consistency: 0.0091 (0.0114) time: 0.8375 (0.8359) data: 0.0643 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:12:28,894 maskrcnn_benchmark.trainer INFO: eta: 15:47:02 iter: 2020 loss: 1.5307 (1.6359) loss_classifier: 0.0735 (0.1302) loss_box_reg: 0.0874 (0.1273) loss_objectness: 0.0198 (0.0723) loss_rpn_box_reg: 0.0128 (0.0284) loss_da_image: 0.6595 (0.6566) loss_da_instance: 0.6443 (0.6098) loss_da_consistency: 0.0090 (0.0114) time: 0.8335 (0.8359) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:12:45,584 maskrcnn_benchmark.trainer INFO: eta: 15:46:44 iter: 2040 loss: 1.6186 (1.6363) loss_classifier: 0.0997 (0.1301) loss_box_reg: 0.1179 (0.1276) loss_objectness: 0.0314 (0.0719) loss_rpn_box_reg: 0.0118 (0.0283) loss_da_image: 0.6689 (0.6567) loss_da_instance: 0.6572 (0.6103) loss_da_consistency: 0.0088 (0.0113) time: 0.8333 (0.8359) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:13:02,251 maskrcnn_benchmark.trainer INFO: eta: 15:46:26 iter: 2060 loss: 1.5094 (1.6357) loss_classifier: 0.0852 (0.1298) loss_box_reg: 0.0716 (0.1276) loss_objectness: 0.0195 (0.0715) loss_rpn_box_reg: 0.0158 (0.0282) loss_da_image: 0.6508 (0.6567) loss_da_instance: 0.6361 (0.6105) loss_da_consistency: 0.0094 (0.0113) time: 0.8334 (0.8358) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:13:18,906 maskrcnn_benchmark.trainer INFO: eta: 15:46:07 iter: 2080 loss: 1.5087 (1.6351) loss_classifier: 0.0805 (0.1295) loss_box_reg: 0.0805 (0.1275) loss_objectness: 0.0237 (0.0713) loss_rpn_box_reg: 0.0179 (0.0282) loss_da_image: 0.6533 (0.6567) loss_da_instance: 0.6317 (0.6107) loss_da_consistency: 0.0114 (0.0113) time: 0.8331 (0.8358) data: 0.0626 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:13:35,552 maskrcnn_benchmark.trainer INFO: eta: 15:45:48 iter: 2100 loss: 1.6458 (1.6354) loss_classifier: 0.1313 (0.1294) loss_box_reg: 0.1379 (0.1275) loss_objectness: 0.0423 (0.0712) loss_rpn_box_reg: 0.0151 (0.0282) loss_da_image: 0.6635 (0.6568) loss_da_instance: 0.6456 (0.6110) loss_da_consistency: 0.0089 (0.0113) time: 0.8321 (0.8358) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:13:52,184 maskrcnn_benchmark.trainer INFO: eta: 15:45:29 iter: 2120 loss: 1.5418 (1.6348) loss_classifier: 0.0885 (0.1292) loss_box_reg: 0.0879 (0.1272) loss_objectness: 0.0359 (0.0709) loss_rpn_box_reg: 0.0110 (0.0281) loss_da_image: 0.6529 (0.6567) loss_da_instance: 0.6510 (0.6114) loss_da_consistency: 0.0073 (0.0113) time: 0.8310 (0.8357) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:14:08,783 maskrcnn_benchmark.trainer INFO: eta: 15:45:08 iter: 2140 loss: 1.5909 (1.6348) loss_classifier: 0.0940 (0.1292) loss_box_reg: 0.1154 (0.1273) loss_objectness: 0.0293 (0.0706) loss_rpn_box_reg: 0.0081 (0.0281) loss_da_image: 0.6551 (0.6567) loss_da_instance: 0.6329 (0.6117) loss_da_consistency: 0.0084 (0.0112) time: 0.8295 (0.8357) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:14:25,369 maskrcnn_benchmark.trainer INFO: eta: 15:44:47 iter: 2160 loss: 1.4412 (1.6337) loss_classifier: 0.0599 (0.1288) loss_box_reg: 0.0598 (0.1270) loss_objectness: 0.0184 (0.0703) loss_rpn_box_reg: 0.0133 (0.0280) loss_da_image: 0.6427 (0.6565) loss_da_instance: 0.6193 (0.6119) loss_da_consistency: 0.0088 (0.0112) time: 0.8285 (0.8356) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:14:41,993 maskrcnn_benchmark.trainer INFO: eta: 15:44:28 iter: 2180 loss: 1.5289 (1.6331) loss_classifier: 0.0944 (0.1286) loss_box_reg: 0.0766 (0.1268) loss_objectness: 0.0274 (0.0700) loss_rpn_box_reg: 0.0201 (0.0280) loss_da_image: 0.6412 (0.6564) loss_da_instance: 0.6338 (0.6122) loss_da_consistency: 0.0088 (0.0112) time: 0.8321 (0.8356) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:14:58,592 maskrcnn_benchmark.trainer INFO: eta: 15:44:08 iter: 2200 loss: 1.4603 (1.6321) loss_classifier: 0.0796 (0.1282) loss_box_reg: 0.0648 (0.1266) loss_objectness: 0.0222 (0.0696) loss_rpn_box_reg: 0.0094 (0.0278) loss_da_image: 0.6348 (0.6563) loss_da_instance: 0.6255 (0.6124) loss_da_consistency: 0.0100 (0.0112) time: 0.8299 (0.8355) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:15:15,197 maskrcnn_benchmark.trainer INFO: eta: 15:43:48 iter: 2220 loss: 1.5068 (1.6312) loss_classifier: 0.0835 (0.1280) loss_box_reg: 0.0912 (0.1264) loss_objectness: 0.0219 (0.0693) loss_rpn_box_reg: 0.0150 (0.0277) loss_da_image: 0.6262 (0.6561) loss_da_instance: 0.6250 (0.6125) loss_da_consistency: 0.0093 (0.0112) time: 0.8309 (0.8355) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:15:31,811 maskrcnn_benchmark.trainer INFO: eta: 15:43:28 iter: 2240 loss: 1.5663 (1.6305) loss_classifier: 0.0899 (0.1277) loss_box_reg: 0.0978 (0.1263) loss_objectness: 0.0290 (0.0690) loss_rpn_box_reg: 0.0216 (0.0277) loss_da_image: 0.6227 (0.6559) loss_da_instance: 0.6402 (0.6128) loss_da_consistency: 0.0092 (0.0111) time: 0.8301 (0.8354) data: 0.0614 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:15:48,419 maskrcnn_benchmark.trainer INFO: eta: 15:43:09 iter: 2260 loss: 1.5544 (1.6304) loss_classifier: 0.1211 (0.1277) loss_box_reg: 0.1244 (0.1264) loss_objectness: 0.0318 (0.0688) loss_rpn_box_reg: 0.0277 (0.0278) loss_da_image: 0.6223 (0.6556) loss_da_instance: 0.6311 (0.6130) loss_da_consistency: 0.0092 (0.0111) time: 0.8294 (0.8354) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:16:05,027 maskrcnn_benchmark.trainer INFO: eta: 15:42:49 iter: 2280 loss: 1.4959 (1.6297) loss_classifier: 0.0809 (0.1274) loss_box_reg: 0.1260 (0.1263) loss_objectness: 0.0297 (0.0684) loss_rpn_box_reg: 0.0079 (0.0277) loss_da_image: 0.6439 (0.6556) loss_da_instance: 0.6351 (0.6131) loss_da_consistency: 0.0093 (0.0111) time: 0.8295 (0.8353) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:16:21,630 maskrcnn_benchmark.trainer INFO: eta: 15:42:29 iter: 2300 loss: 1.4846 (1.6286) loss_classifier: 0.0698 (0.1270) loss_box_reg: 0.0487 (0.1260) loss_objectness: 0.0198 (0.0681) loss_rpn_box_reg: 0.0125 (0.0276) loss_da_image: 0.6318 (0.6555) loss_da_instance: 0.6431 (0.6134) loss_da_consistency: 0.0086 (0.0111) time: 0.8291 (0.8353) data: 0.0619 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:16:38,314 maskrcnn_benchmark.trainer INFO: eta: 15:42:12 iter: 2320 loss: 1.5571 (1.6285) loss_classifier: 0.0815 (0.1269) loss_box_reg: 0.1149 (0.1261) loss_objectness: 0.0287 (0.0679) loss_rpn_box_reg: 0.0169 (0.0276) loss_da_image: 0.6421 (0.6553) loss_da_instance: 0.6364 (0.6137) loss_da_consistency: 0.0095 (0.0111) time: 0.8324 (0.8353) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:16:54,978 maskrcnn_benchmark.trainer INFO: eta: 15:41:54 iter: 2340 loss: 1.5524 (1.6280) loss_classifier: 0.0959 (0.1266) loss_box_reg: 0.1295 (0.1260) loss_objectness: 0.0297 (0.0676) loss_rpn_box_reg: 0.0221 (0.0276) loss_da_image: 0.6445 (0.6553) loss_da_instance: 0.6369 (0.6139) loss_da_consistency: 0.0094 (0.0111) time: 0.8318 (0.8353) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:17:11,609 maskrcnn_benchmark.trainer INFO: eta: 15:41:35 iter: 2360 loss: 1.5004 (1.6275) loss_classifier: 0.0931 (0.1264) loss_box_reg: 0.0774 (0.1260) loss_objectness: 0.0266 (0.0672) loss_rpn_box_reg: 0.0117 (0.0275) loss_da_image: 0.6408 (0.6552) loss_da_instance: 0.6512 (0.6142) loss_da_consistency: 0.0084 (0.0110) time: 0.8304 (0.8352) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:17:28,206 maskrcnn_benchmark.trainer INFO: eta: 15:41:15 iter: 2380 loss: 1.6317 (1.6278) loss_classifier: 0.1173 (0.1264) loss_box_reg: 0.1285 (0.1261) loss_objectness: 0.0277 (0.0671) loss_rpn_box_reg: 0.0200 (0.0275) loss_da_image: 0.6464 (0.6551) loss_da_instance: 0.6409 (0.6145) loss_da_consistency: 0.0088 (0.0110) time: 0.8294 (0.8352) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:17:44,774 maskrcnn_benchmark.trainer INFO: eta: 15:40:55 iter: 2400 loss: 1.5611 (1.6276) loss_classifier: 0.0934 (0.1263) loss_box_reg: 0.0911 (0.1262) loss_objectness: 0.0325 (0.0668) loss_rpn_box_reg: 0.0164 (0.0275) loss_da_image: 0.6438 (0.6551) loss_da_instance: 0.6413 (0.6148) loss_da_consistency: 0.0072 (0.0110) time: 0.8277 (0.8351) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:18:01,347 maskrcnn_benchmark.trainer INFO: eta: 15:40:34 iter: 2420 loss: 1.6256 (1.6276) loss_classifier: 0.0988 (0.1263) loss_box_reg: 0.1529 (0.1264) loss_objectness: 0.0241 (0.0665) loss_rpn_box_reg: 0.0142 (0.0274) loss_da_image: 0.6504 (0.6551) loss_da_instance: 0.6546 (0.6151) loss_da_consistency: 0.0079 (0.0110) time: 0.8290 (0.8351) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:18:17,999 maskrcnn_benchmark.trainer INFO: eta: 15:40:16 iter: 2440 loss: 1.5099 (1.6271) loss_classifier: 0.1066 (0.1261) loss_box_reg: 0.0939 (0.1262) loss_objectness: 0.0207 (0.0662) loss_rpn_box_reg: 0.0172 (0.0274) loss_da_image: 0.6523 (0.6551) loss_da_instance: 0.6218 (0.6152) loss_da_consistency: 0.0085 (0.0109) time: 0.8329 (0.8351) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:18:34,610 maskrcnn_benchmark.trainer INFO: eta: 15:39:57 iter: 2460 loss: 1.6758 (1.6277) loss_classifier: 0.1107 (0.1263) loss_box_reg: 0.1795 (0.1265) loss_objectness: 0.0359 (0.0661) loss_rpn_box_reg: 0.0217 (0.0274) loss_da_image: 0.6640 (0.6551) loss_da_instance: 0.6558 (0.6154) loss_da_consistency: 0.0087 (0.0109) time: 0.8300 (0.8350) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:18:51,216 maskrcnn_benchmark.trainer INFO: eta: 15:39:38 iter: 2480 loss: 1.6637 (1.6281) loss_classifier: 0.1260 (0.1263) loss_box_reg: 0.1109 (0.1268) loss_objectness: 0.0365 (0.0659) loss_rpn_box_reg: 0.0233 (0.0274) loss_da_image: 0.6546 (0.6551) loss_da_instance: 0.6405 (0.6157) loss_da_consistency: 0.0090 (0.0109) time: 0.8298 (0.8350) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:19:07,836 maskrcnn_benchmark.trainer INFO: eta: 15:39:19 iter: 2500 loss: 1.4747 (1.6270) loss_classifier: 0.0636 (0.1259) loss_box_reg: 0.0568 (0.1263) loss_objectness: 0.0164 (0.0655) loss_rpn_box_reg: 0.0130 (0.0273) loss_da_image: 0.6527 (0.6551) loss_da_instance: 0.6423 (0.6159) loss_da_consistency: 0.0093 (0.0109) time: 0.8326 (0.8350) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:19:07,838 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0002500.pth
2019-10-25 14:19:24,680 maskrcnn_benchmark.trainer INFO: eta: 15:39:06 iter: 2520 loss: 1.6132 (1.6270) loss_classifier: 0.1340 (0.1260) loss_box_reg: 0.1119 (0.1262) loss_objectness: 0.0267 (0.0653) loss_rpn_box_reg: 0.0185 (0.0273) loss_da_image: 0.6565 (0.6551) loss_da_instance: 0.6512 (0.6162) loss_da_consistency: 0.0080 (0.0109) time: 0.8334 (0.8350) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:19:41,341 maskrcnn_benchmark.trainer INFO: eta: 15:38:48 iter: 2540 loss: 1.5142 (1.6267) loss_classifier: 0.0725 (0.1259) loss_box_reg: 0.1030 (0.1262) loss_objectness: 0.0189 (0.0650) loss_rpn_box_reg: 0.0126 (0.0273) loss_da_image: 0.6578 (0.6551) loss_da_instance: 0.6371 (0.6163) loss_da_consistency: 0.0089 (0.0109) time: 0.8324 (0.8350) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:19:58,034 maskrcnn_benchmark.trainer INFO: eta: 15:38:32 iter: 2560 loss: 1.5079 (1.6263) loss_classifier: 0.0775 (0.1257) loss_box_reg: 0.0773 (0.1261) loss_objectness: 0.0178 (0.0648) loss_rpn_box_reg: 0.0143 (0.0272) loss_da_image: 0.6638 (0.6552) loss_da_instance: 0.6180 (0.6164) loss_da_consistency: 0.0097 (0.0109) time: 0.8334 (0.8350) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:20:14,722 maskrcnn_benchmark.trainer INFO: eta: 15:38:15 iter: 2580 loss: 1.5488 (1.6260) loss_classifier: 0.0815 (0.1255) loss_box_reg: 0.0948 (0.1260) loss_objectness: 0.0253 (0.0645) loss_rpn_box_reg: 0.0206 (0.0272) loss_da_image: 0.6544 (0.6553) loss_da_instance: 0.6625 (0.6167) loss_da_consistency: 0.0093 (0.0108) time: 0.8350 (0.8350) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:20:31,378 maskrcnn_benchmark.trainer INFO: eta: 15:37:57 iter: 2600 loss: 1.5985 (1.6261) loss_classifier: 0.1203 (0.1256) loss_box_reg: 0.0899 (0.1259) loss_objectness: 0.0266 (0.0643) loss_rpn_box_reg: 0.0197 (0.0272) loss_da_image: 0.6643 (0.6553) loss_da_instance: 0.6485 (0.6170) loss_da_consistency: 0.0079 (0.0108) time: 0.8331 (0.8350) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:20:48,022 maskrcnn_benchmark.trainer INFO: eta: 15:37:39 iter: 2620 loss: 1.5590 (1.6259) loss_classifier: 0.0757 (0.1254) loss_box_reg: 0.0607 (0.1257) loss_objectness: 0.0300 (0.0642) loss_rpn_box_reg: 0.0155 (0.0271) loss_da_image: 0.6592 (0.6553) loss_da_instance: 0.6554 (0.6173) loss_da_consistency: 0.0092 (0.0108) time: 0.8331 (0.8350) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:21:04,645 maskrcnn_benchmark.trainer INFO: eta: 15:37:20 iter: 2640 loss: 1.5237 (1.6254) loss_classifier: 0.0741 (0.1252) loss_box_reg: 0.0821 (0.1256) loss_objectness: 0.0183 (0.0639) loss_rpn_box_reg: 0.0121 (0.0270) loss_da_image: 0.6577 (0.6554) loss_da_instance: 0.6527 (0.6175) loss_da_consistency: 0.0080 (0.0108) time: 0.8315 (0.8349) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:21:21,292 maskrcnn_benchmark.trainer INFO: eta: 15:37:02 iter: 2660 loss: 1.4910 (1.6250) loss_classifier: 0.0813 (0.1250) loss_box_reg: 0.0868 (0.1255) loss_objectness: 0.0184 (0.0636) loss_rpn_box_reg: 0.0145 (0.0270) loss_da_image: 0.6439 (0.6553) loss_da_instance: 0.6364 (0.6178) loss_da_consistency: 0.0077 (0.0108) time: 0.8314 (0.8349) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:21:37,918 maskrcnn_benchmark.trainer INFO: eta: 15:36:43 iter: 2680 loss: 1.5375 (1.6244) loss_classifier: 0.0736 (0.1249) loss_box_reg: 0.0693 (0.1254) loss_objectness: 0.0194 (0.0633) loss_rpn_box_reg: 0.0118 (0.0269) loss_da_image: 0.6479 (0.6553) loss_da_instance: 0.6411 (0.6179) loss_da_consistency: 0.0085 (0.0107) time: 0.8310 (0.8349) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:21:54,601 maskrcnn_benchmark.trainer INFO: eta: 15:36:26 iter: 2700 loss: 1.5227 (1.6243) loss_classifier: 0.1071 (0.1248) loss_box_reg: 0.0954 (0.1253) loss_objectness: 0.0254 (0.0631) loss_rpn_box_reg: 0.0222 (0.0269) loss_da_image: 0.6411 (0.6552) loss_da_instance: 0.6457 (0.6181) loss_da_consistency: 0.0090 (0.0107) time: 0.8343 (0.8349) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:22:11,272 maskrcnn_benchmark.trainer INFO: eta: 15:36:09 iter: 2720 loss: 1.5261 (1.6238) loss_classifier: 0.0809 (0.1246) loss_box_reg: 0.0719 (0.1252) loss_objectness: 0.0211 (0.0629) loss_rpn_box_reg: 0.0082 (0.0269) loss_da_image: 0.6503 (0.6552) loss_da_instance: 0.6442 (0.6183) loss_da_consistency: 0.0079 (0.0107) time: 0.8330 (0.8349) data: 0.0650 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:22:27,914 maskrcnn_benchmark.trainer INFO: eta: 15:35:51 iter: 2740 loss: 1.5686 (1.6235) loss_classifier: 0.1010 (0.1245) loss_box_reg: 0.1244 (0.1252) loss_objectness: 0.0240 (0.0626) loss_rpn_box_reg: 0.0132 (0.0269) loss_da_image: 0.6414 (0.6551) loss_da_instance: 0.6292 (0.6184) loss_da_consistency: 0.0100 (0.0107) time: 0.8314 (0.8348) data: 0.0654 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:22:44,538 maskrcnn_benchmark.trainer INFO: eta: 15:35:33 iter: 2760 loss: 1.5398 (1.6233) loss_classifier: 0.0829 (0.1244) loss_box_reg: 0.1000 (0.1252) loss_objectness: 0.0218 (0.0625) loss_rpn_box_reg: 0.0182 (0.0269) loss_da_image: 0.6453 (0.6551) loss_da_instance: 0.6468 (0.6186) loss_da_consistency: 0.0079 (0.0107) time: 0.8312 (0.8348) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:23:01,155 maskrcnn_benchmark.trainer INFO: eta: 15:35:14 iter: 2780 loss: 1.5750 (1.6233) loss_classifier: 0.1204 (0.1244) loss_box_reg: 0.1198 (0.1253) loss_objectness: 0.0304 (0.0622) loss_rpn_box_reg: 0.0194 (0.0268) loss_da_image: 0.6449 (0.6550) loss_da_instance: 0.6516 (0.6189) loss_da_consistency: 0.0076 (0.0107) time: 0.8307 (0.8348) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:23:17,778 maskrcnn_benchmark.trainer INFO: eta: 15:34:55 iter: 2800 loss: 1.4810 (1.6227) loss_classifier: 0.0557 (0.1241) loss_box_reg: 0.0798 (0.1251) loss_objectness: 0.0224 (0.0620) loss_rpn_box_reg: 0.0075 (0.0268) loss_da_image: 0.6543 (0.6550) loss_da_instance: 0.6515 (0.6191) loss_da_consistency: 0.0079 (0.0106) time: 0.8316 (0.8348) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:23:34,368 maskrcnn_benchmark.trainer INFO: eta: 15:34:36 iter: 2820 loss: 1.4911 (1.6225) loss_classifier: 0.0692 (0.1239) loss_box_reg: 0.0830 (0.1250) loss_objectness: 0.0157 (0.0618) loss_rpn_box_reg: 0.0140 (0.0267) loss_da_image: 0.6564 (0.6550) loss_da_instance: 0.6638 (0.6194) loss_da_consistency: 0.0086 (0.0106) time: 0.8278 (0.8347) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:23:51,006 maskrcnn_benchmark.trainer INFO: eta: 15:34:18 iter: 2840 loss: 1.5752 (1.6224) loss_classifier: 0.1139 (0.1238) loss_box_reg: 0.1103 (0.1250) loss_objectness: 0.0283 (0.0616) loss_rpn_box_reg: 0.0253 (0.0267) loss_da_image: 0.6501 (0.6551) loss_da_instance: 0.6522 (0.6197) loss_da_consistency: 0.0073 (0.0106) time: 0.8314 (0.8347) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:24:07,631 maskrcnn_benchmark.trainer INFO: eta: 15:34:00 iter: 2860 loss: 1.5283 (1.6219) loss_classifier: 0.0696 (0.1235) loss_box_reg: 0.0765 (0.1248) loss_objectness: 0.0188 (0.0613) loss_rpn_box_reg: 0.0188 (0.0266) loss_da_image: 0.6578 (0.6551) loss_da_instance: 0.6455 (0.6199) loss_da_consistency: 0.0081 (0.0106) time: 0.8300 (0.8347) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:24:24,285 maskrcnn_benchmark.trainer INFO: eta: 15:33:42 iter: 2880 loss: 1.5403 (1.6215) loss_classifier: 0.0761 (0.1233) loss_box_reg: 0.1124 (0.1247) loss_objectness: 0.0188 (0.0611) loss_rpn_box_reg: 0.0121 (0.0266) loss_da_image: 0.6547 (0.6551) loss_da_instance: 0.6567 (0.6201) loss_da_consistency: 0.0075 (0.0106) time: 0.8315 (0.8347) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:24:40,922 maskrcnn_benchmark.trainer INFO: eta: 15:33:24 iter: 2900 loss: 1.5179 (1.6209) loss_classifier: 0.0738 (0.1230) loss_box_reg: 0.0719 (0.1244) loss_objectness: 0.0193 (0.0609) loss_rpn_box_reg: 0.0096 (0.0265) loss_da_image: 0.6737 (0.6552) loss_da_instance: 0.6495 (0.6203) loss_da_consistency: 0.0091 (0.0106) time: 0.8312 (0.8346) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:24:57,536 maskrcnn_benchmark.trainer INFO: eta: 15:33:06 iter: 2920 loss: 1.5362 (1.6207) loss_classifier: 0.0893 (0.1229) loss_box_reg: 0.1034 (0.1244) loss_objectness: 0.0242 (0.0607) loss_rpn_box_reg: 0.0165 (0.0265) loss_da_image: 0.6594 (0.6552) loss_da_instance: 0.6509 (0.6205) loss_da_consistency: 0.0088 (0.0106) time: 0.8307 (0.8346) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:25:14,193 maskrcnn_benchmark.trainer INFO: eta: 15:32:48 iter: 2940 loss: 1.4584 (1.6199) loss_classifier: 0.0427 (0.1225) loss_box_reg: 0.0539 (0.1241) loss_objectness: 0.0169 (0.0604) loss_rpn_box_reg: 0.0077 (0.0264) loss_da_image: 0.6554 (0.6552) loss_da_instance: 0.6506 (0.6207) loss_da_consistency: 0.0075 (0.0105) time: 0.8329 (0.8346) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:25:30,855 maskrcnn_benchmark.trainer INFO: eta: 15:32:31 iter: 2960 loss: 1.5832 (1.6200) loss_classifier: 0.1017 (0.1225) loss_box_reg: 0.0980 (0.1242) loss_objectness: 0.0235 (0.0602) loss_rpn_box_reg: 0.0156 (0.0264) loss_da_image: 0.6657 (0.6553) loss_da_instance: 0.6524 (0.6209) loss_da_consistency: 0.0086 (0.0105) time: 0.8332 (0.8346) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:25:47,525 maskrcnn_benchmark.trainer INFO: eta: 15:32:14 iter: 2980 loss: 1.5738 (1.6200) loss_classifier: 0.0783 (0.1224) loss_box_reg: 0.1156 (0.1243) loss_objectness: 0.0289 (0.0601) loss_rpn_box_reg: 0.0170 (0.0263) loss_da_image: 0.6554 (0.6553) loss_da_instance: 0.6481 (0.6211) loss_da_consistency: 0.0092 (0.0105) time: 0.8324 (0.8346) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:26:04,177 maskrcnn_benchmark.trainer INFO: eta: 15:31:56 iter: 3000 loss: 1.5133 (1.6195) loss_classifier: 0.0825 (0.1222) loss_box_reg: 0.0907 (0.1241) loss_objectness: 0.0236 (0.0599) loss_rpn_box_reg: 0.0128 (0.0263) loss_da_image: 0.6498 (0.6553) loss_da_instance: 0.6439 (0.6213) loss_da_consistency: 0.0075 (0.0105) time: 0.8328 (0.8346) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:26:20,830 maskrcnn_benchmark.trainer INFO: eta: 15:31:39 iter: 3020 loss: 1.5278 (1.6193) loss_classifier: 0.0889 (0.1220) loss_box_reg: 0.1075 (0.1240) loss_objectness: 0.0266 (0.0597) loss_rpn_box_reg: 0.0184 (0.0263) loss_da_image: 0.6423 (0.6553) loss_da_instance: 0.6487 (0.6215) loss_da_consistency: 0.0089 (0.0105) time: 0.8327 (0.8346) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:26:37,423 maskrcnn_benchmark.trainer INFO: eta: 15:31:20 iter: 3040 loss: 1.5090 (1.6189) loss_classifier: 0.0612 (0.1218) loss_box_reg: 0.0676 (0.1239) loss_objectness: 0.0206 (0.0595) loss_rpn_box_reg: 0.0121 (0.0262) loss_da_image: 0.6569 (0.6553) loss_da_instance: 0.6596 (0.6218) loss_da_consistency: 0.0066 (0.0105) time: 0.8283 (0.8345) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:26:54,079 maskrcnn_benchmark.trainer INFO: eta: 15:31:02 iter: 3060 loss: 1.5708 (1.6187) loss_classifier: 0.1040 (0.1217) loss_box_reg: 0.0788 (0.1237) loss_objectness: 0.0332 (0.0594) loss_rpn_box_reg: 0.0187 (0.0263) loss_da_image: 0.6449 (0.6552) loss_da_instance: 0.6532 (0.6220) loss_da_consistency: 0.0078 (0.0104) time: 0.8318 (0.8345) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:27:10,749 maskrcnn_benchmark.trainer INFO: eta: 15:30:45 iter: 3080 loss: 1.5108 (1.6183) loss_classifier: 0.0803 (0.1215) loss_box_reg: 0.0908 (0.1237) loss_objectness: 0.0193 (0.0592) loss_rpn_box_reg: 0.0134 (0.0262) loss_da_image: 0.6401 (0.6551) loss_da_instance: 0.6459 (0.6221) loss_da_consistency: 0.0080 (0.0104) time: 0.8334 (0.8345) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:27:27,444 maskrcnn_benchmark.trainer INFO: eta: 15:30:29 iter: 3100 loss: 1.5225 (1.6179) loss_classifier: 0.0744 (0.1213) loss_box_reg: 0.0844 (0.1236) loss_objectness: 0.0182 (0.0590) loss_rpn_box_reg: 0.0222 (0.0262) loss_da_image: 0.6404 (0.6551) loss_da_instance: 0.6605 (0.6223) loss_da_consistency: 0.0092 (0.0104) time: 0.8348 (0.8345) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:27:44,110 maskrcnn_benchmark.trainer INFO: eta: 15:30:11 iter: 3120 loss: 1.5538 (1.6176) loss_classifier: 0.1144 (0.1212) loss_box_reg: 0.1066 (0.1235) loss_objectness: 0.0258 (0.0588) loss_rpn_box_reg: 0.0147 (0.0262) loss_da_image: 0.6470 (0.6550) loss_da_instance: 0.6515 (0.6225) loss_da_consistency: 0.0087 (0.0104) time: 0.8321 (0.8345) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:28:00,774 maskrcnn_benchmark.trainer INFO: eta: 15:29:54 iter: 3140 loss: 1.5582 (1.6176) loss_classifier: 0.0854 (0.1211) loss_box_reg: 0.1240 (0.1236) loss_objectness: 0.0154 (0.0586) loss_rpn_box_reg: 0.0150 (0.0261) loss_da_image: 0.6524 (0.6550) loss_da_instance: 0.6642 (0.6227) loss_da_consistency: 0.0074 (0.0104) time: 0.8337 (0.8345) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:28:17,398 maskrcnn_benchmark.trainer INFO: eta: 15:29:36 iter: 3160 loss: 1.6113 (1.6178) loss_classifier: 0.1220 (0.1212) loss_box_reg: 0.1166 (0.1238) loss_objectness: 0.0256 (0.0584) loss_rpn_box_reg: 0.0141 (0.0261) loss_da_image: 0.6498 (0.6550) loss_da_instance: 0.6505 (0.6230) loss_da_consistency: 0.0080 (0.0104) time: 0.8298 (0.8345) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:28:34,038 maskrcnn_benchmark.trainer INFO: eta: 15:29:18 iter: 3180 loss: 1.5457 (1.6178) loss_classifier: 0.1071 (0.1213) loss_box_reg: 0.1152 (0.1238) loss_objectness: 0.0226 (0.0582) loss_rpn_box_reg: 0.0151 (0.0260) loss_da_image: 0.6495 (0.6550) loss_da_instance: 0.6510 (0.6231) loss_da_consistency: 0.0078 (0.0104) time: 0.8315 (0.8345) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:28:50,677 maskrcnn_benchmark.trainer INFO: eta: 15:29:01 iter: 3200 loss: 1.6226 (1.6181) loss_classifier: 0.1293 (0.1214) loss_box_reg: 0.1565 (0.1241) loss_objectness: 0.0300 (0.0581) loss_rpn_box_reg: 0.0219 (0.0260) loss_da_image: 0.6516 (0.6550) loss_da_instance: 0.6447 (0.6233) loss_da_consistency: 0.0074 (0.0104) time: 0.8317 (0.8344) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:29:07,307 maskrcnn_benchmark.trainer INFO: eta: 15:28:43 iter: 3220 loss: 1.5945 (1.6182) loss_classifier: 0.0879 (0.1213) loss_box_reg: 0.1060 (0.1240) loss_objectness: 0.0273 (0.0580) loss_rpn_box_reg: 0.0167 (0.0260) loss_da_image: 0.6586 (0.6550) loss_da_instance: 0.6657 (0.6236) loss_da_consistency: 0.0065 (0.0103) time: 0.8318 (0.8344) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:29:23,874 maskrcnn_benchmark.trainer INFO: eta: 15:28:23 iter: 3240 loss: 1.5509 (1.6181) loss_classifier: 0.1002 (0.1211) loss_box_reg: 0.0959 (0.1240) loss_objectness: 0.0229 (0.0578) loss_rpn_box_reg: 0.0158 (0.0260) loss_da_image: 0.6593 (0.6550) loss_da_instance: 0.6597 (0.6238) loss_da_consistency: 0.0077 (0.0103) time: 0.8286 (0.8344) data: 0.0679 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:29:40,476 maskrcnn_benchmark.trainer INFO: eta: 15:28:05 iter: 3260 loss: 1.6191 (1.6182) loss_classifier: 0.1027 (0.1211) loss_box_reg: 0.1282 (0.1240) loss_objectness: 0.0363 (0.0578) loss_rpn_box_reg: 0.0177 (0.0260) loss_da_image: 0.6581 (0.6550) loss_da_instance: 0.6490 (0.6239) loss_da_consistency: 0.0074 (0.0103) time: 0.8297 (0.8344) data: 0.0682 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:29:57,022 maskrcnn_benchmark.trainer INFO: eta: 15:27:45 iter: 3280 loss: 1.6148 (1.6182) loss_classifier: 0.1042 (0.1211) loss_box_reg: 0.1208 (0.1241) loss_objectness: 0.0281 (0.0576) loss_rpn_box_reg: 0.0142 (0.0260) loss_da_image: 0.6548 (0.6550) loss_da_instance: 0.6568 (0.6240) loss_da_consistency: 0.0087 (0.0103) time: 0.8267 (0.8343) data: 0.0667 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 14:30:13,600 maskrcnn_benchmark.trainer INFO: eta: 15:27:27 iter: 3300 loss: 1.5908 (1.6180) loss_classifier: 0.0957 (0.1210) loss_box_reg: 0.0984 (0.1240) loss_objectness: 0.0302 (0.0575) loss_rpn_box_reg: 0.0196 (0.0260) loss_da_image: 0.6563 (0.6551) loss_da_instance: 0.6496 (0.6242) loss_da_consistency: 0.0085 (0.0103) time: 0.8283 (0.8343) data: 0.0682 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:30:30,159 maskrcnn_benchmark.trainer INFO: eta: 15:27:07 iter: 3320 loss: 1.5251 (1.6176) loss_classifier: 0.0882 (0.1208) loss_box_reg: 0.0700 (0.1238) loss_objectness: 0.0264 (0.0573) loss_rpn_box_reg: 0.0171 (0.0259) loss_da_image: 0.6494 (0.6550) loss_da_instance: 0.6447 (0.6243) loss_da_consistency: 0.0078 (0.0103) time: 0.8283 (0.8343) data: 0.0671 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:30:46,704 maskrcnn_benchmark.trainer INFO: eta: 15:26:48 iter: 3340 loss: 1.4593 (1.6171) loss_classifier: 0.0504 (0.1206) loss_box_reg: 0.0555 (0.1236) loss_objectness: 0.0145 (0.0572) loss_rpn_box_reg: 0.0059 (0.0259) loss_da_image: 0.6568 (0.6550) loss_da_instance: 0.6625 (0.6246) loss_da_consistency: 0.0066 (0.0102) time: 0.8272 (0.8342) data: 0.0677 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:31:03,264 maskrcnn_benchmark.trainer INFO: eta: 15:26:29 iter: 3360 loss: 1.5358 (1.6170) loss_classifier: 0.1110 (0.1206) loss_box_reg: 0.0993 (0.1236) loss_objectness: 0.0348 (0.0570) loss_rpn_box_reg: 0.0164 (0.0258) loss_da_image: 0.6498 (0.6550) loss_da_instance: 0.6527 (0.6247) loss_da_consistency: 0.0073 (0.0102) time: 0.8282 (0.8342) data: 0.0680 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:31:19,837 maskrcnn_benchmark.trainer INFO: eta: 15:26:10 iter: 3380 loss: 1.5494 (1.6172) loss_classifier: 0.1013 (0.1205) loss_box_reg: 0.1100 (0.1238) loss_objectness: 0.0241 (0.0569) loss_rpn_box_reg: 0.0094 (0.0259) loss_da_image: 0.6469 (0.6550) loss_da_instance: 0.6522 (0.6249) loss_da_consistency: 0.0082 (0.0102) time: 0.8287 (0.8341) data: 0.0668 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:31:36,408 maskrcnn_benchmark.trainer INFO: eta: 15:25:51 iter: 3400 loss: 1.5645 (1.6169) loss_classifier: 0.1159 (0.1205) loss_box_reg: 0.0613 (0.1236) loss_objectness: 0.0276 (0.0568) loss_rpn_box_reg: 0.0144 (0.0258) loss_da_image: 0.6494 (0.6550) loss_da_instance: 0.6540 (0.6250) loss_da_consistency: 0.0074 (0.0102) time: 0.8292 (0.8341) data: 0.0677 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:31:52,964 maskrcnn_benchmark.trainer INFO: eta: 15:25:32 iter: 3420 loss: 1.4503 (1.6164) loss_classifier: 0.0651 (0.1203) loss_box_reg: 0.0714 (0.1234) loss_objectness: 0.0117 (0.0566) loss_rpn_box_reg: 0.0102 (0.0258) loss_da_image: 0.6482 (0.6549) loss_da_instance: 0.6597 (0.6252) loss_da_consistency: 0.0089 (0.0102) time: 0.8287 (0.8341) data: 0.0668 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:32:09,569 maskrcnn_benchmark.trainer INFO: eta: 15:25:14 iter: 3440 loss: 1.5195 (1.6162) loss_classifier: 0.0865 (0.1201) loss_box_reg: 0.0985 (0.1233) loss_objectness: 0.0189 (0.0564) loss_rpn_box_reg: 0.0117 (0.0257) loss_da_image: 0.6591 (0.6550) loss_da_instance: 0.6609 (0.6254) loss_da_consistency: 0.0081 (0.0102) time: 0.8295 (0.8340) data: 0.0674 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:32:26,195 maskrcnn_benchmark.trainer INFO: eta: 15:24:56 iter: 3460 loss: 1.5613 (1.6160) loss_classifier: 0.0877 (0.1200) loss_box_reg: 0.1168 (0.1234) loss_objectness: 0.0226 (0.0563) loss_rpn_box_reg: 0.0171 (0.0257) loss_da_image: 0.6563 (0.6550) loss_da_instance: 0.6468 (0.6256) loss_da_consistency: 0.0084 (0.0102) time: 0.8309 (0.8340) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:32:42,867 maskrcnn_benchmark.trainer INFO: eta: 15:24:39 iter: 3480 loss: 1.4927 (1.6155) loss_classifier: 0.0709 (0.1197) loss_box_reg: 0.0681 (0.1232) loss_objectness: 0.0167 (0.0560) loss_rpn_box_reg: 0.0074 (0.0257) loss_da_image: 0.6513 (0.6550) loss_da_instance: 0.6519 (0.6257) loss_da_consistency: 0.0075 (0.0102) time: 0.8325 (0.8340) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:32:59,526 maskrcnn_benchmark.trainer INFO: eta: 15:24:22 iter: 3500 loss: 1.5428 (1.6154) loss_classifier: 0.1003 (0.1197) loss_box_reg: 0.0996 (0.1231) loss_objectness: 0.0240 (0.0559) loss_rpn_box_reg: 0.0177 (0.0256) loss_da_image: 0.6450 (0.6550) loss_da_instance: 0.6544 (0.6259) loss_da_consistency: 0.0084 (0.0101) time: 0.8331 (0.8340) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:33:16,238 maskrcnn_benchmark.trainer INFO: eta: 15:24:06 iter: 3520 loss: 1.5948 (1.6153) loss_classifier: 0.0930 (0.1196) loss_box_reg: 0.0960 (0.1231) loss_objectness: 0.0215 (0.0557) loss_rpn_box_reg: 0.0144 (0.0256) loss_da_image: 0.6568 (0.6550) loss_da_instance: 0.6555 (0.6261) loss_da_consistency: 0.0074 (0.0101) time: 0.8356 (0.8340) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:33:32,927 maskrcnn_benchmark.trainer INFO: eta: 15:23:49 iter: 3540 loss: 1.6069 (1.6154) loss_classifier: 0.1124 (0.1196) loss_box_reg: 0.1098 (0.1232) loss_objectness: 0.0323 (0.0557) loss_rpn_box_reg: 0.0210 (0.0256) loss_da_image: 0.6594 (0.6550) loss_da_instance: 0.6488 (0.6262) loss_da_consistency: 0.0081 (0.0101) time: 0.8348 (0.8340) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:33:49,604 maskrcnn_benchmark.trainer INFO: eta: 15:23:33 iter: 3560 loss: 1.5612 (1.6152) loss_classifier: 0.0665 (0.1194) loss_box_reg: 0.0924 (0.1231) loss_objectness: 0.0166 (0.0555) loss_rpn_box_reg: 0.0122 (0.0255) loss_da_image: 0.6621 (0.6551) loss_da_instance: 0.6585 (0.6264) loss_da_consistency: 0.0091 (0.0101) time: 0.8318 (0.8340) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:34:06,249 maskrcnn_benchmark.trainer INFO: eta: 15:23:15 iter: 3580 loss: 1.5862 (1.6153) loss_classifier: 0.0952 (0.1194) loss_box_reg: 0.1079 (0.1232) loss_objectness: 0.0302 (0.0554) loss_rpn_box_reg: 0.0204 (0.0255) loss_da_image: 0.6430 (0.6551) loss_da_instance: 0.6495 (0.6265) loss_da_consistency: 0.0083 (0.0101) time: 0.8325 (0.8340) data: 0.0638 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:34:22,910 maskrcnn_benchmark.trainer INFO: eta: 15:22:58 iter: 3600 loss: 1.5894 (1.6152) loss_classifier: 0.1093 (0.1194) loss_box_reg: 0.0919 (0.1231) loss_objectness: 0.0279 (0.0553) loss_rpn_box_reg: 0.0201 (0.0255) loss_da_image: 0.6597 (0.6551) loss_da_instance: 0.6596 (0.6267) loss_da_consistency: 0.0109 (0.0101) time: 0.8324 (0.8340) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:34:39,581 maskrcnn_benchmark.trainer INFO: eta: 15:22:41 iter: 3620 loss: 1.6251 (1.6152) loss_classifier: 0.0962 (0.1193) loss_box_reg: 0.1347 (0.1231) loss_objectness: 0.0268 (0.0552) loss_rpn_box_reg: 0.0184 (0.0255) loss_da_image: 0.6553 (0.6551) loss_da_instance: 0.6447 (0.6268) loss_da_consistency: 0.0078 (0.0101) time: 0.8331 (0.8340) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:34:56,240 maskrcnn_benchmark.trainer INFO: eta: 15:22:24 iter: 3640 loss: 1.6788 (1.6153) loss_classifier: 0.1132 (0.1194) loss_box_reg: 0.1347 (0.1232) loss_objectness: 0.0261 (0.0550) loss_rpn_box_reg: 0.0200 (0.0255) loss_da_image: 0.6529 (0.6551) loss_da_instance: 0.6506 (0.6270) loss_da_consistency: 0.0070 (0.0101) time: 0.8333 (0.8340) data: 0.0646 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:35:12,903 maskrcnn_benchmark.trainer INFO: eta: 15:22:07 iter: 3660 loss: 1.6143 (1.6153) loss_classifier: 0.1124 (0.1193) loss_box_reg: 0.1248 (0.1233) loss_objectness: 0.0207 (0.0549) loss_rpn_box_reg: 0.0207 (0.0255) loss_da_image: 0.6513 (0.6551) loss_da_instance: 0.6601 (0.6271) loss_da_consistency: 0.0074 (0.0101) time: 0.8329 (0.8340) data: 0.0662 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:35:29,522 maskrcnn_benchmark.trainer INFO: eta: 15:21:50 iter: 3680 loss: 1.5190 (1.6151) loss_classifier: 0.0711 (0.1191) loss_box_reg: 0.1152 (0.1233) loss_objectness: 0.0206 (0.0548) loss_rpn_box_reg: 0.0117 (0.0255) loss_da_image: 0.6534 (0.6551) loss_da_instance: 0.6465 (0.6273) loss_da_consistency: 0.0075 (0.0101) time: 0.8296 (0.8340) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:35:46,183 maskrcnn_benchmark.trainer INFO: eta: 15:21:33 iter: 3700 loss: 1.5361 (1.6147) loss_classifier: 0.0836 (0.1190) loss_box_reg: 0.0769 (0.1231) loss_objectness: 0.0213 (0.0546) loss_rpn_box_reg: 0.0095 (0.0254) loss_da_image: 0.6476 (0.6550) loss_da_instance: 0.6431 (0.6274) loss_da_consistency: 0.0076 (0.0100) time: 0.8333 (0.8340) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:36:02,866 maskrcnn_benchmark.trainer INFO: eta: 15:21:16 iter: 3720 loss: 1.4838 (1.6145) loss_classifier: 0.0729 (0.1189) loss_box_reg: 0.0757 (0.1231) loss_objectness: 0.0277 (0.0545) loss_rpn_box_reg: 0.0197 (0.0254) loss_da_image: 0.6463 (0.6550) loss_da_instance: 0.6569 (0.6276) loss_da_consistency: 0.0071 (0.0100) time: 0.8332 (0.8340) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:36:19,566 maskrcnn_benchmark.trainer INFO: eta: 15:21:00 iter: 3740 loss: 1.6188 (1.6145) loss_classifier: 0.1137 (0.1189) loss_box_reg: 0.1288 (0.1231) loss_objectness: 0.0215 (0.0544) loss_rpn_box_reg: 0.0202 (0.0254) loss_da_image: 0.6412 (0.6549) loss_da_instance: 0.6438 (0.6277) loss_da_consistency: 0.0078 (0.0100) time: 0.8352 (0.8340) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:36:36,274 maskrcnn_benchmark.trainer INFO: eta: 15:20:43 iter: 3760 loss: 1.4854 (1.6141) loss_classifier: 0.0859 (0.1188) loss_box_reg: 0.0767 (0.1229) loss_objectness: 0.0201 (0.0543) loss_rpn_box_reg: 0.0078 (0.0254) loss_da_image: 0.6435 (0.6549) loss_da_instance: 0.6406 (0.6278) loss_da_consistency: 0.0069 (0.0100) time: 0.8345 (0.8340) data: 0.0624 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:36:52,963 maskrcnn_benchmark.trainer INFO: eta: 15:20:27 iter: 3780 loss: 1.5382 (1.6140) loss_classifier: 0.0979 (0.1188) loss_box_reg: 0.0906 (0.1229) loss_objectness: 0.0318 (0.0542) loss_rpn_box_reg: 0.0117 (0.0253) loss_da_image: 0.6456 (0.6548) loss_da_instance: 0.6569 (0.6280) loss_da_consistency: 0.0080 (0.0100) time: 0.8336 (0.8340) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:37:09,738 maskrcnn_benchmark.trainer INFO: eta: 15:20:12 iter: 3800 loss: 1.4976 (1.6138) loss_classifier: 0.0820 (0.1187) loss_box_reg: 0.0714 (0.1228) loss_objectness: 0.0202 (0.0540) loss_rpn_box_reg: 0.0162 (0.0254) loss_da_image: 0.6482 (0.6548) loss_da_instance: 0.6620 (0.6282) loss_da_consistency: 0.0072 (0.0100) time: 0.8374 (0.8340) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:37:26,471 maskrcnn_benchmark.trainer INFO: eta: 15:19:56 iter: 3820 loss: 1.5497 (1.6136) loss_classifier: 0.1006 (0.1186) loss_box_reg: 0.0879 (0.1227) loss_objectness: 0.0311 (0.0539) loss_rpn_box_reg: 0.0180 (0.0253) loss_da_image: 0.6469 (0.6548) loss_da_instance: 0.6597 (0.6283) loss_da_consistency: 0.0066 (0.0100) time: 0.8372 (0.8340) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:37:43,169 maskrcnn_benchmark.trainer INFO: eta: 15:19:40 iter: 3840 loss: 1.5940 (1.6136) loss_classifier: 0.1238 (0.1185) loss_box_reg: 0.1090 (0.1227) loss_objectness: 0.0356 (0.0539) loss_rpn_box_reg: 0.0216 (0.0254) loss_da_image: 0.6435 (0.6547) loss_da_instance: 0.6572 (0.6285) loss_da_consistency: 0.0087 (0.0100) time: 0.8351 (0.8340) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:37:59,992 maskrcnn_benchmark.trainer INFO: eta: 15:19:26 iter: 3860 loss: 1.5481 (1.6135) loss_classifier: 0.0846 (0.1184) loss_box_reg: 0.0911 (0.1227) loss_objectness: 0.0246 (0.0538) loss_rpn_box_reg: 0.0122 (0.0253) loss_da_image: 0.6540 (0.6547) loss_da_instance: 0.6562 (0.6286) loss_da_consistency: 0.0070 (0.0099) time: 0.8394 (0.8341) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:38:16,716 maskrcnn_benchmark.trainer INFO: eta: 15:19:10 iter: 3880 loss: 1.5502 (1.6132) loss_classifier: 0.0867 (0.1183) loss_box_reg: 0.0783 (0.1225) loss_objectness: 0.0196 (0.0536) loss_rpn_box_reg: 0.0114 (0.0253) loss_da_image: 0.6638 (0.6548) loss_da_instance: 0.6652 (0.6288) loss_da_consistency: 0.0070 (0.0099) time: 0.8351 (0.8341) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:38:33,432 maskrcnn_benchmark.trainer INFO: eta: 15:18:53 iter: 3900 loss: 1.6067 (1.6132) loss_classifier: 0.1044 (0.1183) loss_box_reg: 0.1207 (0.1225) loss_objectness: 0.0279 (0.0535) loss_rpn_box_reg: 0.0167 (0.0253) loss_da_image: 0.6411 (0.6547) loss_da_instance: 0.6437 (0.6289) loss_da_consistency: 0.0067 (0.0099) time: 0.8354 (0.8341) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:38:50,192 maskrcnn_benchmark.trainer INFO: eta: 15:18:38 iter: 3920 loss: 1.5505 (1.6128) loss_classifier: 0.0872 (0.1181) loss_box_reg: 0.0844 (0.1224) loss_objectness: 0.0252 (0.0533) loss_rpn_box_reg: 0.0106 (0.0253) loss_da_image: 0.6588 (0.6547) loss_da_instance: 0.6488 (0.6290) loss_da_consistency: 0.0076 (0.0099) time: 0.8381 (0.8341) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:39:06,938 maskrcnn_benchmark.trainer INFO: eta: 15:18:22 iter: 3940 loss: 1.4854 (1.6122) loss_classifier: 0.0605 (0.1179) loss_box_reg: 0.0797 (0.1222) loss_objectness: 0.0223 (0.0532) loss_rpn_box_reg: 0.0115 (0.0252) loss_da_image: 0.6429 (0.6547) loss_da_instance: 0.6427 (0.6291) loss_da_consistency: 0.0070 (0.0099) time: 0.8366 (0.8341) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:39:23,685 maskrcnn_benchmark.trainer INFO: eta: 15:18:07 iter: 3960 loss: 1.5253 (1.6118) loss_classifier: 0.0738 (0.1177) loss_box_reg: 0.0641 (0.1220) loss_objectness: 0.0219 (0.0530) loss_rpn_box_reg: 0.0106 (0.0252) loss_da_image: 0.6656 (0.6547) loss_da_instance: 0.6510 (0.6292) loss_da_consistency: 0.0079 (0.0099) time: 0.8371 (0.8342) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:39:40,369 maskrcnn_benchmark.trainer INFO: eta: 15:17:50 iter: 3980 loss: 1.5212 (1.6116) loss_classifier: 0.0805 (0.1176) loss_box_reg: 0.1107 (0.1219) loss_objectness: 0.0225 (0.0529) loss_rpn_box_reg: 0.0125 (0.0252) loss_da_image: 0.6623 (0.6548) loss_da_instance: 0.6194 (0.6293) loss_da_consistency: 0.0085 (0.0099) time: 0.8328 (0.8342) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:39:57,050 maskrcnn_benchmark.trainer INFO: eta: 15:17:33 iter: 4000 loss: 1.5193 (1.6113) loss_classifier: 0.1005 (0.1175) loss_box_reg: 0.0785 (0.1218) loss_objectness: 0.0232 (0.0528) loss_rpn_box_reg: 0.0143 (0.0251) loss_da_image: 0.6533 (0.6548) loss_da_instance: 0.6544 (0.6295) loss_da_consistency: 0.0072 (0.0099) time: 0.8327 (0.8342) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:40:13,769 maskrcnn_benchmark.trainer INFO: eta: 15:17:17 iter: 4020 loss: 1.4938 (1.6108) loss_classifier: 0.0622 (0.1173) loss_box_reg: 0.0394 (0.1215) loss_objectness: 0.0215 (0.0527) loss_rpn_box_reg: 0.0079 (0.0251) loss_da_image: 0.6585 (0.6548) loss_da_instance: 0.6483 (0.6296) loss_da_consistency: 0.0072 (0.0098) time: 0.8355 (0.8342) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:40:30,467 maskrcnn_benchmark.trainer INFO: eta: 15:17:01 iter: 4040 loss: 1.4971 (1.6104) loss_classifier: 0.0704 (0.1171) loss_box_reg: 0.0801 (0.1214) loss_objectness: 0.0192 (0.0525) loss_rpn_box_reg: 0.0148 (0.0250) loss_da_image: 0.6551 (0.6548) loss_da_instance: 0.6410 (0.6297) loss_da_consistency: 0.0080 (0.0098) time: 0.8355 (0.8342) data: 0.0643 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:40:47,171 maskrcnn_benchmark.trainer INFO: eta: 15:16:45 iter: 4060 loss: 1.5311 (1.6102) loss_classifier: 0.0803 (0.1170) loss_box_reg: 0.1036 (0.1213) loss_objectness: 0.0167 (0.0524) loss_rpn_box_reg: 0.0173 (0.0250) loss_da_image: 0.6511 (0.6548) loss_da_instance: 0.6607 (0.6299) loss_da_consistency: 0.0076 (0.0098) time: 0.8348 (0.8342) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:41:03,951 maskrcnn_benchmark.trainer INFO: eta: 15:16:29 iter: 4080 loss: 1.5170 (1.6100) loss_classifier: 0.0963 (0.1170) loss_box_reg: 0.0808 (0.1212) loss_objectness: 0.0226 (0.0523) loss_rpn_box_reg: 0.0099 (0.0250) loss_da_image: 0.6268 (0.6547) loss_da_instance: 0.6396 (0.6300) loss_da_consistency: 0.0084 (0.0098) time: 0.8383 (0.8342) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:41:20,716 maskrcnn_benchmark.trainer INFO: eta: 15:16:14 iter: 4100 loss: 1.5730 (1.6099) loss_classifier: 0.0980 (0.1169) loss_box_reg: 0.1187 (0.1213) loss_objectness: 0.0197 (0.0522) loss_rpn_box_reg: 0.0195 (0.0250) loss_da_image: 0.6333 (0.6546) loss_da_instance: 0.6597 (0.6301) loss_da_consistency: 0.0072 (0.0098) time: 0.8383 (0.8342) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:41:37,539 maskrcnn_benchmark.trainer INFO: eta: 15:16:00 iter: 4120 loss: 1.4969 (1.6096) loss_classifier: 0.0732 (0.1168) loss_box_reg: 0.0941 (0.1212) loss_objectness: 0.0190 (0.0521) loss_rpn_box_reg: 0.0150 (0.0249) loss_da_image: 0.6405 (0.6545) loss_da_instance: 0.6522 (0.6302) loss_da_consistency: 0.0074 (0.0098) time: 0.8407 (0.8342) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:41:54,360 maskrcnn_benchmark.trainer INFO: eta: 15:15:45 iter: 4140 loss: 1.6536 (1.6099) loss_classifier: 0.1348 (0.1168) loss_box_reg: 0.1847 (0.1215) loss_objectness: 0.0317 (0.0521) loss_rpn_box_reg: 0.0224 (0.0250) loss_da_image: 0.6374 (0.6544) loss_da_instance: 0.6603 (0.6303) loss_da_consistency: 0.0071 (0.0098) time: 0.8411 (0.8343) data: 0.0657 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:42:11,163 maskrcnn_benchmark.trainer INFO: eta: 15:15:30 iter: 4160 loss: 1.4345 (1.6094) loss_classifier: 0.0510 (0.1166) loss_box_reg: 0.0425 (0.1213) loss_objectness: 0.0142 (0.0520) loss_rpn_box_reg: 0.0085 (0.0249) loss_da_image: 0.6359 (0.6544) loss_da_instance: 0.6477 (0.6304) loss_da_consistency: 0.0071 (0.0098) time: 0.8397 (0.8343) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:42:27,975 maskrcnn_benchmark.trainer INFO: eta: 15:15:16 iter: 4180 loss: 1.5480 (1.6092) loss_classifier: 0.0830 (0.1165) loss_box_reg: 0.1185 (0.1213) loss_objectness: 0.0141 (0.0518) loss_rpn_box_reg: 0.0108 (0.0249) loss_da_image: 0.6460 (0.6544) loss_da_instance: 0.6481 (0.6306) loss_da_consistency: 0.0077 (0.0098) time: 0.8402 (0.8343) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:42:44,740 maskrcnn_benchmark.trainer INFO: eta: 15:15:00 iter: 4200 loss: 1.4809 (1.6089) loss_classifier: 0.0657 (0.1163) loss_box_reg: 0.1104 (0.1212) loss_objectness: 0.0139 (0.0517) loss_rpn_box_reg: 0.0079 (0.0248) loss_da_image: 0.6528 (0.6544) loss_da_instance: 0.6447 (0.6307) loss_da_consistency: 0.0075 (0.0098) time: 0.8398 (0.8344) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:43:01,548 maskrcnn_benchmark.trainer INFO: eta: 15:14:45 iter: 4220 loss: 1.6098 (1.6089) loss_classifier: 0.0976 (0.1162) loss_box_reg: 0.1169 (0.1212) loss_objectness: 0.0192 (0.0516) loss_rpn_box_reg: 0.0170 (0.0248) loss_da_image: 0.6628 (0.6545) loss_da_instance: 0.6502 (0.6308) loss_da_consistency: 0.0087 (0.0098) time: 0.8408 (0.8344) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:43:18,366 maskrcnn_benchmark.trainer INFO: eta: 15:14:31 iter: 4240 loss: 1.5233 (1.6086) loss_classifier: 0.0755 (0.1160) loss_box_reg: 0.0870 (0.1211) loss_objectness: 0.0181 (0.0515) loss_rpn_box_reg: 0.0177 (0.0248) loss_da_image: 0.6614 (0.6545) loss_da_instance: 0.6467 (0.6309) loss_da_consistency: 0.0083 (0.0097) time: 0.8404 (0.8344) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:43:35,227 maskrcnn_benchmark.trainer INFO: eta: 15:14:17 iter: 4260 loss: 1.5165 (1.6083) loss_classifier: 0.0699 (0.1159) loss_box_reg: 0.0792 (0.1210) loss_objectness: 0.0157 (0.0513) loss_rpn_box_reg: 0.0100 (0.0248) loss_da_image: 0.6555 (0.6545) loss_da_instance: 0.6505 (0.6310) loss_da_consistency: 0.0072 (0.0097) time: 0.8434 (0.8345) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:43:51,976 maskrcnn_benchmark.trainer INFO: eta: 15:14:01 iter: 4280 loss: 1.6165 (1.6084) loss_classifier: 0.1242 (0.1160) loss_box_reg: 0.1456 (0.1211) loss_objectness: 0.0134 (0.0512) loss_rpn_box_reg: 0.0097 (0.0248) loss_da_image: 0.6608 (0.6545) loss_da_instance: 0.6325 (0.6310) loss_da_consistency: 0.0087 (0.0097) time: 0.8381 (0.8345) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:44:08,643 maskrcnn_benchmark.trainer INFO: eta: 15:13:44 iter: 4300 loss: 1.6711 (1.6086) loss_classifier: 0.1302 (0.1161) loss_box_reg: 0.1425 (0.1212) loss_objectness: 0.0302 (0.0511) loss_rpn_box_reg: 0.0183 (0.0248) loss_da_image: 0.6528 (0.6545) loss_da_instance: 0.6554 (0.6312) loss_da_consistency: 0.0077 (0.0097) time: 0.8323 (0.8345) data: 0.0662 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:44:25,315 maskrcnn_benchmark.trainer INFO: eta: 15:13:27 iter: 4320 loss: 1.5315 (1.6083) loss_classifier: 0.1030 (0.1160) loss_box_reg: 0.0916 (0.1211) loss_objectness: 0.0211 (0.0510) loss_rpn_box_reg: 0.0112 (0.0247) loss_da_image: 0.6523 (0.6545) loss_da_instance: 0.6566 (0.6313) loss_da_consistency: 0.0076 (0.0097) time: 0.8333 (0.8345) data: 0.0663 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:44:41,974 maskrcnn_benchmark.trainer INFO: eta: 15:13:10 iter: 4340 loss: 1.5125 (1.6080) loss_classifier: 0.0514 (0.1159) loss_box_reg: 0.0635 (0.1210) loss_objectness: 0.0157 (0.0509) loss_rpn_box_reg: 0.0078 (0.0247) loss_da_image: 0.6571 (0.6545) loss_da_instance: 0.6623 (0.6314) loss_da_consistency: 0.0066 (0.0097) time: 0.8331 (0.8345) data: 0.0618 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:44:58,693 maskrcnn_benchmark.trainer INFO: eta: 15:12:53 iter: 4360 loss: 1.5145 (1.6079) loss_classifier: 0.0904 (0.1158) loss_box_reg: 0.0871 (0.1209) loss_objectness: 0.0189 (0.0508) loss_rpn_box_reg: 0.0154 (0.0246) loss_da_image: 0.6638 (0.6546) loss_da_instance: 0.6318 (0.6315) loss_da_consistency: 0.0084 (0.0097) time: 0.8366 (0.8345) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:45:15,390 maskrcnn_benchmark.trainer INFO: eta: 15:12:37 iter: 4380 loss: 1.5032 (1.6076) loss_classifier: 0.0792 (0.1157) loss_box_reg: 0.1102 (0.1209) loss_objectness: 0.0206 (0.0507) loss_rpn_box_reg: 0.0117 (0.0246) loss_da_image: 0.6524 (0.6546) loss_da_instance: 0.6488 (0.6316) loss_da_consistency: 0.0080 (0.0097) time: 0.8336 (0.8345) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:45:32,139 maskrcnn_benchmark.trainer INFO: eta: 15:12:21 iter: 4400 loss: 1.4949 (1.6074) loss_classifier: 0.0757 (0.1156) loss_box_reg: 0.1012 (0.1208) loss_objectness: 0.0195 (0.0505) loss_rpn_box_reg: 0.0151 (0.0246) loss_da_image: 0.6483 (0.6545) loss_da_instance: 0.6562 (0.6317) loss_da_consistency: 0.0080 (0.0097) time: 0.8361 (0.8345) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 14:45:48,871 maskrcnn_benchmark.trainer INFO: eta: 15:12:05 iter: 4420 loss: 1.5284 (1.6072) loss_classifier: 0.0716 (0.1155) loss_box_reg: 0.0809 (0.1207) loss_objectness: 0.0184 (0.0504) loss_rpn_box_reg: 0.0220 (0.0246) loss_da_image: 0.6704 (0.6546) loss_da_instance: 0.6510 (0.6318) loss_da_consistency: 0.0077 (0.0097) time: 0.8341 (0.8345) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:46:05,574 maskrcnn_benchmark.trainer INFO: eta: 15:11:49 iter: 4440 loss: 1.6057 (1.6073) loss_classifier: 0.1024 (0.1154) loss_box_reg: 0.1070 (0.1208) loss_objectness: 0.0229 (0.0503) loss_rpn_box_reg: 0.0171 (0.0245) loss_da_image: 0.6547 (0.6546) loss_da_instance: 0.6516 (0.6319) loss_da_consistency: 0.0079 (0.0097) time: 0.8361 (0.8345) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:46:22,352 maskrcnn_benchmark.trainer INFO: eta: 15:11:33 iter: 4460 loss: 1.6025 (1.6073) loss_classifier: 0.1187 (0.1154) loss_box_reg: 0.0960 (0.1208) loss_objectness: 0.0247 (0.0502) loss_rpn_box_reg: 0.0144 (0.0245) loss_da_image: 0.6706 (0.6547) loss_da_instance: 0.6432 (0.6320) loss_da_consistency: 0.0080 (0.0097) time: 0.8380 (0.8345) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:46:39,110 maskrcnn_benchmark.trainer INFO: eta: 15:11:17 iter: 4480 loss: 1.5178 (1.6072) loss_classifier: 0.0765 (0.1153) loss_box_reg: 0.0707 (0.1207) loss_objectness: 0.0165 (0.0501) loss_rpn_box_reg: 0.0114 (0.0245) loss_da_image: 0.6606 (0.6547) loss_da_instance: 0.6570 (0.6322) loss_da_consistency: 0.0077 (0.0096) time: 0.8356 (0.8345) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:46:55,898 maskrcnn_benchmark.trainer INFO: eta: 15:11:02 iter: 4500 loss: 1.5458 (1.6071) loss_classifier: 0.0802 (0.1152) loss_box_reg: 0.0776 (0.1206) loss_objectness: 0.0203 (0.0500) loss_rpn_box_reg: 0.0164 (0.0245) loss_da_image: 0.6618 (0.6548) loss_da_instance: 0.6631 (0.6323) loss_da_consistency: 0.0078 (0.0096) time: 0.8377 (0.8345) data: 0.0647 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:47:12,661 maskrcnn_benchmark.trainer INFO: eta: 15:10:47 iter: 4520 loss: 1.4946 (1.6069) loss_classifier: 0.0838 (0.1151) loss_box_reg: 0.0796 (0.1205) loss_objectness: 0.0216 (0.0500) loss_rpn_box_reg: 0.0130 (0.0245) loss_da_image: 0.6496 (0.6547) loss_da_instance: 0.6546 (0.6324) loss_da_consistency: 0.0072 (0.0096) time: 0.8392 (0.8346) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:47:29,404 maskrcnn_benchmark.trainer INFO: eta: 15:10:31 iter: 4540 loss: 1.4925 (1.6065) loss_classifier: 0.0907 (0.1150) loss_box_reg: 0.0986 (0.1204) loss_objectness: 0.0173 (0.0498) loss_rpn_box_reg: 0.0117 (0.0244) loss_da_image: 0.6393 (0.6547) loss_da_instance: 0.6511 (0.6326) loss_da_consistency: 0.0082 (0.0096) time: 0.8355 (0.8346) data: 0.0673 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:47:46,182 maskrcnn_benchmark.trainer INFO: eta: 15:10:15 iter: 4560 loss: 1.5171 (1.6063) loss_classifier: 0.0859 (0.1149) loss_box_reg: 0.0885 (0.1203) loss_objectness: 0.0210 (0.0498) loss_rpn_box_reg: 0.0132 (0.0244) loss_da_image: 0.6391 (0.6546) loss_da_instance: 0.6437 (0.6326) loss_da_consistency: 0.0070 (0.0096) time: 0.8348 (0.8346) data: 0.0656 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:48:03,018 maskrcnn_benchmark.trainer INFO: eta: 15:10:01 iter: 4580 loss: 1.5568 (1.6062) loss_classifier: 0.1068 (0.1149) loss_box_reg: 0.0965 (0.1203) loss_objectness: 0.0285 (0.0497) loss_rpn_box_reg: 0.0159 (0.0244) loss_da_image: 0.6518 (0.6546) loss_da_instance: 0.6462 (0.6327) loss_da_consistency: 0.0072 (0.0096) time: 0.8406 (0.8346) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:48:19,699 maskrcnn_benchmark.trainer INFO: eta: 15:09:44 iter: 4600 loss: 1.5882 (1.6064) loss_classifier: 0.1042 (0.1149) loss_box_reg: 0.1132 (0.1204) loss_objectness: 0.0330 (0.0497) loss_rpn_box_reg: 0.0089 (0.0244) loss_da_image: 0.6456 (0.6546) loss_da_instance: 0.6508 (0.6328) loss_da_consistency: 0.0070 (0.0096) time: 0.8332 (0.8346) data: 0.0669 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:48:36,324 maskrcnn_benchmark.trainer INFO: eta: 15:09:26 iter: 4620 loss: 1.4990 (1.6061) loss_classifier: 0.0804 (0.1148) loss_box_reg: 0.0840 (0.1203) loss_objectness: 0.0265 (0.0497) loss_rpn_box_reg: 0.0104 (0.0243) loss_da_image: 0.6518 (0.6546) loss_da_instance: 0.6533 (0.6329) loss_da_consistency: 0.0071 (0.0096) time: 0.8318 (0.8346) data: 0.0679 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:48:53,111 maskrcnn_benchmark.trainer INFO: eta: 15:09:11 iter: 4640 loss: 1.4854 (1.6059) loss_classifier: 0.0776 (0.1148) loss_box_reg: 0.0676 (0.1202) loss_objectness: 0.0228 (0.0496) loss_rpn_box_reg: 0.0120 (0.0243) loss_da_image: 0.6279 (0.6545) loss_da_instance: 0.6548 (0.6330) loss_da_consistency: 0.0075 (0.0096) time: 0.8352 (0.8346) data: 0.0681 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:49:09,976 maskrcnn_benchmark.trainer INFO: eta: 15:08:56 iter: 4660 loss: 1.4633 (1.6057) loss_classifier: 0.0734 (0.1147) loss_box_reg: 0.0919 (0.1201) loss_objectness: 0.0173 (0.0495) loss_rpn_box_reg: 0.0118 (0.0243) loss_da_image: 0.6335 (0.6544) loss_da_instance: 0.6342 (0.6331) loss_da_consistency: 0.0074 (0.0096) time: 0.8420 (0.8347) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:49:26,757 maskrcnn_benchmark.trainer INFO: eta: 15:08:41 iter: 4680 loss: 1.5612 (1.6056) loss_classifier: 0.0956 (0.1147) loss_box_reg: 0.0868 (0.1201) loss_objectness: 0.0233 (0.0494) loss_rpn_box_reg: 0.0144 (0.0243) loss_da_image: 0.6513 (0.6544) loss_da_instance: 0.6570 (0.6332) loss_da_consistency: 0.0082 (0.0096) time: 0.8393 (0.8347) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:49:43,581 maskrcnn_benchmark.trainer INFO: eta: 15:08:26 iter: 4700 loss: 1.5097 (1.6053) loss_classifier: 0.0929 (0.1146) loss_box_reg: 0.0787 (0.1200) loss_objectness: 0.0197 (0.0493) loss_rpn_box_reg: 0.0165 (0.0243) loss_da_image: 0.6298 (0.6543) loss_da_instance: 0.6359 (0.6333) loss_da_consistency: 0.0074 (0.0096) time: 0.8404 (0.8347) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:50:00,348 maskrcnn_benchmark.trainer INFO: eta: 15:08:10 iter: 4720 loss: 1.5620 (1.6051) loss_classifier: 0.0806 (0.1145) loss_box_reg: 0.1016 (0.1200) loss_objectness: 0.0187 (0.0492) loss_rpn_box_reg: 0.0160 (0.0243) loss_da_image: 0.6490 (0.6543) loss_da_instance: 0.6588 (0.6334) loss_da_consistency: 0.0071 (0.0095) time: 0.8379 (0.8347) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:50:17,133 maskrcnn_benchmark.trainer INFO: eta: 15:07:55 iter: 4740 loss: 1.5143 (1.6050) loss_classifier: 0.0813 (0.1145) loss_box_reg: 0.0893 (0.1200) loss_objectness: 0.0223 (0.0491) loss_rpn_box_reg: 0.0122 (0.0242) loss_da_image: 0.6492 (0.6543) loss_da_instance: 0.6527 (0.6335) loss_da_consistency: 0.0069 (0.0095) time: 0.8394 (0.8347) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:50:33,891 maskrcnn_benchmark.trainer INFO: eta: 15:07:39 iter: 4760 loss: 1.4971 (1.6047) loss_classifier: 0.0663 (0.1143) loss_box_reg: 0.0670 (0.1199) loss_objectness: 0.0192 (0.0490) loss_rpn_box_reg: 0.0109 (0.0242) loss_da_image: 0.6488 (0.6543) loss_da_instance: 0.6360 (0.6336) loss_da_consistency: 0.0071 (0.0095) time: 0.8369 (0.8348) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:50:50,667 maskrcnn_benchmark.trainer INFO: eta: 15:07:23 iter: 4780 loss: 1.5284 (1.6045) loss_classifier: 0.0795 (0.1142) loss_box_reg: 0.0931 (0.1199) loss_objectness: 0.0145 (0.0488) loss_rpn_box_reg: 0.0140 (0.0242) loss_da_image: 0.6623 (0.6543) loss_da_instance: 0.6511 (0.6337) loss_da_consistency: 0.0069 (0.0095) time: 0.8385 (0.8348) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:51:07,487 maskrcnn_benchmark.trainer INFO: eta: 15:07:08 iter: 4800 loss: 1.5222 (1.6043) loss_classifier: 0.0793 (0.1141) loss_box_reg: 0.0906 (0.1198) loss_objectness: 0.0143 (0.0487) loss_rpn_box_reg: 0.0145 (0.0241) loss_da_image: 0.6582 (0.6543) loss_da_instance: 0.6459 (0.6337) loss_da_consistency: 0.0074 (0.0095) time: 0.8425 (0.8348) data: 0.0647 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:51:24,286 maskrcnn_benchmark.trainer INFO: eta: 15:06:53 iter: 4820 loss: 1.6480 (1.6044) loss_classifier: 0.1296 (0.1142) loss_box_reg: 0.1182 (0.1198) loss_objectness: 0.0313 (0.0487) loss_rpn_box_reg: 0.0200 (0.0241) loss_da_image: 0.6565 (0.6544) loss_da_instance: 0.6588 (0.6338) loss_da_consistency: 0.0079 (0.0095) time: 0.8395 (0.8348) data: 0.0647 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:51:41,060 maskrcnn_benchmark.trainer INFO: eta: 15:06:38 iter: 4840 loss: 1.5693 (1.6043) loss_classifier: 0.0822 (0.1141) loss_box_reg: 0.1027 (0.1197) loss_objectness: 0.0167 (0.0486) loss_rpn_box_reg: 0.0124 (0.0241) loss_da_image: 0.6641 (0.6544) loss_da_instance: 0.6577 (0.6339) loss_da_consistency: 0.0089 (0.0095) time: 0.8376 (0.8348) data: 0.0638 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:51:57,826 maskrcnn_benchmark.trainer INFO: eta: 15:06:22 iter: 4860 loss: 1.5166 (1.6042) loss_classifier: 0.1086 (0.1140) loss_box_reg: 0.0849 (0.1197) loss_objectness: 0.0167 (0.0485) loss_rpn_box_reg: 0.0113 (0.0240) loss_da_image: 0.6566 (0.6544) loss_da_instance: 0.6563 (0.6340) loss_da_consistency: 0.0073 (0.0095) time: 0.8372 (0.8349) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:52:14,615 maskrcnn_benchmark.trainer INFO: eta: 15:06:06 iter: 4880 loss: 1.6000 (1.6044) loss_classifier: 0.1085 (0.1141) loss_box_reg: 0.1202 (0.1198) loss_objectness: 0.0252 (0.0484) loss_rpn_box_reg: 0.0115 (0.0240) loss_da_image: 0.6547 (0.6545) loss_da_instance: 0.6518 (0.6341) loss_da_consistency: 0.0072 (0.0095) time: 0.8390 (0.8349) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:52:31,419 maskrcnn_benchmark.trainer INFO: eta: 15:05:51 iter: 4900 loss: 1.5968 (1.6044) loss_classifier: 0.1193 (0.1141) loss_box_reg: 0.1309 (0.1198) loss_objectness: 0.0345 (0.0484) loss_rpn_box_reg: 0.0213 (0.0240) loss_da_image: 0.6373 (0.6544) loss_da_instance: 0.6440 (0.6341) loss_da_consistency: 0.0083 (0.0095) time: 0.8398 (0.8349) data: 0.0651 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:52:48,194 maskrcnn_benchmark.trainer INFO: eta: 15:05:35 iter: 4920 loss: 1.4541 (1.6040) loss_classifier: 0.0669 (0.1140) loss_box_reg: 0.0680 (0.1197) loss_objectness: 0.0242 (0.0484) loss_rpn_box_reg: 0.0136 (0.0240) loss_da_image: 0.6278 (0.6543) loss_da_instance: 0.6601 (0.6342) loss_da_consistency: 0.0077 (0.0095) time: 0.8360 (0.8349) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:53:04,931 maskrcnn_benchmark.trainer INFO: eta: 15:05:19 iter: 4940 loss: 1.5390 (1.6038) loss_classifier: 0.1044 (0.1139) loss_box_reg: 0.0887 (0.1196) loss_objectness: 0.0204 (0.0483) loss_rpn_box_reg: 0.0158 (0.0240) loss_da_image: 0.6321 (0.6543) loss_da_instance: 0.6598 (0.6343) loss_da_consistency: 0.0071 (0.0095) time: 0.8371 (0.8349) data: 0.0638 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:53:21,695 maskrcnn_benchmark.trainer INFO: eta: 15:05:03 iter: 4960 loss: 1.4586 (1.6035) loss_classifier: 0.0709 (0.1138) loss_box_reg: 0.1032 (0.1196) loss_objectness: 0.0164 (0.0482) loss_rpn_box_reg: 0.0108 (0.0240) loss_da_image: 0.6329 (0.6542) loss_da_instance: 0.6435 (0.6343) loss_da_consistency: 0.0075 (0.0095) time: 0.8375 (0.8349) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:53:38,423 maskrcnn_benchmark.trainer INFO: eta: 15:04:47 iter: 4980 loss: 1.5291 (1.6032) loss_classifier: 0.0847 (0.1137) loss_box_reg: 0.1066 (0.1195) loss_objectness: 0.0193 (0.0481) loss_rpn_box_reg: 0.0137 (0.0240) loss_da_image: 0.6352 (0.6541) loss_da_instance: 0.6421 (0.6344) loss_da_consistency: 0.0077 (0.0095) time: 0.8373 (0.8349) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:53:55,158 maskrcnn_benchmark.trainer INFO: eta: 15:04:31 iter: 5000 loss: 1.5581 (1.6032) loss_classifier: 0.1203 (0.1137) loss_box_reg: 0.1058 (0.1195) loss_objectness: 0.0303 (0.0480) loss_rpn_box_reg: 0.0207 (0.0240) loss_da_image: 0.6314 (0.6540) loss_da_instance: 0.6529 (0.6345) loss_da_consistency: 0.0077 (0.0094) time: 0.8363 (0.8349) data: 0.0648 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:53:55,160 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0005000.pth
2019-10-25 14:54:12,092 maskrcnn_benchmark.trainer INFO: eta: 15:04:17 iter: 5020 loss: 1.4987 (1.6029) loss_classifier: 0.0862 (0.1137) loss_box_reg: 0.0800 (0.1195) loss_objectness: 0.0155 (0.0479) loss_rpn_box_reg: 0.0091 (0.0239) loss_da_image: 0.6226 (0.6539) loss_da_instance: 0.6342 (0.6344) loss_da_consistency: 0.0073 (0.0094) time: 0.8376 (0.8350) data: 0.0646 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:54:28,830 maskrcnn_benchmark.trainer INFO: eta: 15:04:01 iter: 5040 loss: 1.4548 (1.6024) loss_classifier: 0.0471 (0.1135) loss_box_reg: 0.0399 (0.1193) loss_objectness: 0.0138 (0.0479) loss_rpn_box_reg: 0.0090 (0.0239) loss_da_image: 0.6449 (0.6539) loss_da_instance: 0.6437 (0.6345) loss_da_consistency: 0.0087 (0.0094) time: 0.8373 (0.8350) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:54:45,510 maskrcnn_benchmark.trainer INFO: eta: 15:03:44 iter: 5060 loss: 1.5493 (1.6022) loss_classifier: 0.0870 (0.1133) loss_box_reg: 0.0900 (0.1193) loss_objectness: 0.0199 (0.0478) loss_rpn_box_reg: 0.0142 (0.0239) loss_da_image: 0.6457 (0.6539) loss_da_instance: 0.6581 (0.6346) loss_da_consistency: 0.0080 (0.0094) time: 0.8331 (0.8350) data: 0.0624 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:55:02,269 maskrcnn_benchmark.trainer INFO: eta: 15:03:28 iter: 5080 loss: 1.5314 (1.6021) loss_classifier: 0.0566 (0.1132) loss_box_reg: 0.1065 (0.1193) loss_objectness: 0.0171 (0.0477) loss_rpn_box_reg: 0.0134 (0.0238) loss_da_image: 0.6542 (0.6539) loss_da_instance: 0.6535 (0.6347) loss_da_consistency: 0.0087 (0.0094) time: 0.8376 (0.8350) data: 0.0643 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:55:18,991 maskrcnn_benchmark.trainer INFO: eta: 15:03:12 iter: 5100 loss: 1.5300 (1.6018) loss_classifier: 0.0773 (0.1132) loss_box_reg: 0.0852 (0.1193) loss_objectness: 0.0222 (0.0476) loss_rpn_box_reg: 0.0150 (0.0238) loss_da_image: 0.6415 (0.6538) loss_da_instance: 0.6409 (0.6347) loss_da_consistency: 0.0087 (0.0094) time: 0.8366 (0.8350) data: 0.0626 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:55:35,738 maskrcnn_benchmark.trainer INFO: eta: 15:02:55 iter: 5120 loss: 1.4675 (1.6015) loss_classifier: 0.0583 (0.1131) loss_box_reg: 0.0701 (0.1191) loss_objectness: 0.0226 (0.0475) loss_rpn_box_reg: 0.0098 (0.0238) loss_da_image: 0.6435 (0.6538) loss_da_instance: 0.6354 (0.6347) loss_da_consistency: 0.0090 (0.0094) time: 0.8363 (0.8350) data: 0.0646 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:55:52,518 maskrcnn_benchmark.trainer INFO: eta: 15:02:40 iter: 5140 loss: 1.5017 (1.6013) loss_classifier: 0.0895 (0.1130) loss_box_reg: 0.1019 (0.1191) loss_objectness: 0.0223 (0.0474) loss_rpn_box_reg: 0.0103 (0.0238) loss_da_image: 0.6388 (0.6537) loss_da_instance: 0.6525 (0.6348) loss_da_consistency: 0.0088 (0.0094) time: 0.8377 (0.8350) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:56:09,302 maskrcnn_benchmark.trainer INFO: eta: 15:02:24 iter: 5160 loss: 1.5455 (1.6013) loss_classifier: 0.0968 (0.1130) loss_box_reg: 0.0971 (0.1191) loss_objectness: 0.0241 (0.0474) loss_rpn_box_reg: 0.0106 (0.0237) loss_da_image: 0.6455 (0.6537) loss_da_instance: 0.6548 (0.6349) loss_da_consistency: 0.0088 (0.0094) time: 0.8376 (0.8350) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:56:26,062 maskrcnn_benchmark.trainer INFO: eta: 15:02:08 iter: 5180 loss: 1.5094 (1.6012) loss_classifier: 0.0939 (0.1129) loss_box_reg: 0.1149 (0.1191) loss_objectness: 0.0139 (0.0473) loss_rpn_box_reg: 0.0108 (0.0237) loss_da_image: 0.6556 (0.6537) loss_da_instance: 0.6489 (0.6349) loss_da_consistency: 0.0087 (0.0094) time: 0.8378 (0.8351) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:56:42,814 maskrcnn_benchmark.trainer INFO: eta: 15:01:52 iter: 5200 loss: 1.5024 (1.6009) loss_classifier: 0.0726 (0.1128) loss_box_reg: 0.1045 (0.1191) loss_objectness: 0.0156 (0.0472) loss_rpn_box_reg: 0.0132 (0.0237) loss_da_image: 0.6404 (0.6537) loss_da_instance: 0.6390 (0.6350) loss_da_consistency: 0.0091 (0.0094) time: 0.8382 (0.8351) data: 0.0652 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:56:59,552 maskrcnn_benchmark.trainer INFO: eta: 15:01:36 iter: 5220 loss: 1.5869 (1.6009) loss_classifier: 0.0804 (0.1128) loss_box_reg: 0.0940 (0.1190) loss_objectness: 0.0251 (0.0472) loss_rpn_box_reg: 0.0151 (0.0237) loss_da_image: 0.6541 (0.6537) loss_da_instance: 0.6670 (0.6351) loss_da_consistency: 0.0077 (0.0094) time: 0.8381 (0.8351) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:57:16,285 maskrcnn_benchmark.trainer INFO: eta: 15:01:20 iter: 5240 loss: 1.5521 (1.6007) loss_classifier: 0.1027 (0.1127) loss_box_reg: 0.0830 (0.1190) loss_objectness: 0.0291 (0.0472) loss_rpn_box_reg: 0.0163 (0.0237) loss_da_image: 0.6295 (0.6536) loss_da_instance: 0.6538 (0.6352) loss_da_consistency: 0.0078 (0.0094) time: 0.8374 (0.8351) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:57:33,028 maskrcnn_benchmark.trainer INFO: eta: 15:01:03 iter: 5260 loss: 1.4972 (1.6005) loss_classifier: 0.0818 (0.1127) loss_box_reg: 0.0728 (0.1189) loss_objectness: 0.0240 (0.0471) loss_rpn_box_reg: 0.0238 (0.0237) loss_da_image: 0.6285 (0.6535) loss_da_instance: 0.6522 (0.6352) loss_da_consistency: 0.0071 (0.0094) time: 0.8374 (0.8351) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:57:49,807 maskrcnn_benchmark.trainer INFO: eta: 15:00:48 iter: 5280 loss: 1.4478 (1.6002) loss_classifier: 0.0717 (0.1126) loss_box_reg: 0.0710 (0.1189) loss_objectness: 0.0135 (0.0470) loss_rpn_box_reg: 0.0116 (0.0237) loss_da_image: 0.6333 (0.6535) loss_da_instance: 0.6407 (0.6352) loss_da_consistency: 0.0078 (0.0094) time: 0.8382 (0.8351) data: 0.0651 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:58:06,582 maskrcnn_benchmark.trainer INFO: eta: 15:00:32 iter: 5300 loss: 1.5181 (1.6002) loss_classifier: 0.0748 (0.1125) loss_box_reg: 0.0891 (0.1189) loss_objectness: 0.0204 (0.0470) loss_rpn_box_reg: 0.0108 (0.0236) loss_da_image: 0.6378 (0.6534) loss_da_instance: 0.6422 (0.6353) loss_da_consistency: 0.0084 (0.0094) time: 0.8386 (0.8351) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:58:23,225 maskrcnn_benchmark.trainer INFO: eta: 15:00:14 iter: 5320 loss: 1.5316 (1.6000) loss_classifier: 0.0828 (0.1125) loss_box_reg: 0.1133 (0.1189) loss_objectness: 0.0273 (0.0469) loss_rpn_box_reg: 0.0146 (0.0236) loss_da_image: 0.6336 (0.6533) loss_da_instance: 0.6382 (0.6353) loss_da_consistency: 0.0091 (0.0094) time: 0.8316 (0.8351) data: 0.0676 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:58:39,808 maskrcnn_benchmark.trainer INFO: eta: 14:59:56 iter: 5340 loss: 1.5485 (1.5998) loss_classifier: 0.0832 (0.1124) loss_box_reg: 0.0832 (0.1188) loss_objectness: 0.0162 (0.0469) loss_rpn_box_reg: 0.0096 (0.0236) loss_da_image: 0.6461 (0.6533) loss_da_instance: 0.6647 (0.6355) loss_da_consistency: 0.0065 (0.0094) time: 0.8296 (0.8351) data: 0.0684 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:58:56,571 maskrcnn_benchmark.trainer INFO: eta: 14:59:40 iter: 5360 loss: 1.4949 (1.5996) loss_classifier: 0.0655 (0.1123) loss_box_reg: 0.0733 (0.1187) loss_objectness: 0.0111 (0.0468) loss_rpn_box_reg: 0.0104 (0.0236) loss_da_image: 0.6676 (0.6534) loss_da_instance: 0.6625 (0.6356) loss_da_consistency: 0.0078 (0.0094) time: 0.8380 (0.8351) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:59:13,334 maskrcnn_benchmark.trainer INFO: eta: 14:59:24 iter: 5380 loss: 1.5321 (1.5994) loss_classifier: 0.0828 (0.1122) loss_box_reg: 0.0966 (0.1186) loss_objectness: 0.0261 (0.0467) loss_rpn_box_reg: 0.0140 (0.0236) loss_da_image: 0.6441 (0.6533) loss_da_instance: 0.6413 (0.6356) loss_da_consistency: 0.0080 (0.0094) time: 0.8386 (0.8351) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:59:30,077 maskrcnn_benchmark.trainer INFO: eta: 14:59:08 iter: 5400 loss: 1.5633 (1.5994) loss_classifier: 0.1105 (0.1122) loss_box_reg: 0.1038 (0.1186) loss_objectness: 0.0357 (0.0467) loss_rpn_box_reg: 0.0199 (0.0236) loss_da_image: 0.6416 (0.6533) loss_da_instance: 0.6619 (0.6357) loss_da_consistency: 0.0077 (0.0094) time: 0.8371 (0.8351) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 14:59:46,780 maskrcnn_benchmark.trainer INFO: eta: 14:58:51 iter: 5420 loss: 1.5362 (1.5993) loss_classifier: 0.0887 (0.1121) loss_box_reg: 0.0820 (0.1185) loss_objectness: 0.0176 (0.0467) loss_rpn_box_reg: 0.0133 (0.0235) loss_da_image: 0.6548 (0.6533) loss_da_instance: 0.6470 (0.6358) loss_da_consistency: 0.0069 (0.0094) time: 0.8343 (0.8351) data: 0.0646 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:00:03,544 maskrcnn_benchmark.trainer INFO: eta: 14:58:35 iter: 5440 loss: 1.5350 (1.5991) loss_classifier: 0.0889 (0.1120) loss_box_reg: 0.1078 (0.1185) loss_objectness: 0.0226 (0.0466) loss_rpn_box_reg: 0.0109 (0.0235) loss_da_image: 0.6451 (0.6533) loss_da_instance: 0.6463 (0.6359) loss_da_consistency: 0.0073 (0.0093) time: 0.8387 (0.8351) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:00:20,298 maskrcnn_benchmark.trainer INFO: eta: 14:58:19 iter: 5460 loss: 1.4970 (1.5988) loss_classifier: 0.0607 (0.1119) loss_box_reg: 0.0798 (0.1184) loss_objectness: 0.0159 (0.0465) loss_rpn_box_reg: 0.0075 (0.0235) loss_da_image: 0.6584 (0.6533) loss_da_instance: 0.6486 (0.6359) loss_da_consistency: 0.0063 (0.0093) time: 0.8369 (0.8351) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:00:37,005 maskrcnn_benchmark.trainer INFO: eta: 14:58:03 iter: 5480 loss: 1.5599 (1.5987) loss_classifier: 0.0842 (0.1118) loss_box_reg: 0.0998 (0.1183) loss_objectness: 0.0231 (0.0464) loss_rpn_box_reg: 0.0100 (0.0235) loss_da_image: 0.6728 (0.6534) loss_da_instance: 0.6572 (0.6360) loss_da_consistency: 0.0066 (0.0093) time: 0.8335 (0.8351) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:00:53,744 maskrcnn_benchmark.trainer INFO: eta: 14:57:46 iter: 5500 loss: 1.5948 (1.5987) loss_classifier: 0.0915 (0.1118) loss_box_reg: 0.0825 (0.1183) loss_objectness: 0.0213 (0.0463) loss_rpn_box_reg: 0.0120 (0.0235) loss_da_image: 0.6588 (0.6534) loss_da_instance: 0.6586 (0.6361) loss_da_consistency: 0.0072 (0.0093) time: 0.8354 (0.8351) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:01:10,523 maskrcnn_benchmark.trainer INFO: eta: 14:57:31 iter: 5520 loss: 1.5576 (1.5986) loss_classifier: 0.1053 (0.1118) loss_box_reg: 0.0979 (0.1183) loss_objectness: 0.0148 (0.0463) loss_rpn_box_reg: 0.0142 (0.0234) loss_da_image: 0.6569 (0.6534) loss_da_instance: 0.6514 (0.6362) loss_da_consistency: 0.0065 (0.0093) time: 0.8395 (0.8352) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:01:27,317 maskrcnn_benchmark.trainer INFO: eta: 14:57:15 iter: 5540 loss: 1.4908 (1.5985) loss_classifier: 0.0848 (0.1117) loss_box_reg: 0.0795 (0.1182) loss_objectness: 0.0199 (0.0462) loss_rpn_box_reg: 0.0102 (0.0234) loss_da_image: 0.6627 (0.6534) loss_da_instance: 0.6521 (0.6362) loss_da_consistency: 0.0080 (0.0093) time: 0.8390 (0.8352) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:01:44,190 maskrcnn_benchmark.trainer INFO: eta: 14:57:00 iter: 5560 loss: 1.5424 (1.5983) loss_classifier: 0.0853 (0.1116) loss_box_reg: 0.0716 (0.1181) loss_objectness: 0.0261 (0.0461) loss_rpn_box_reg: 0.0156 (0.0234) loss_da_image: 0.6595 (0.6535) loss_da_instance: 0.6473 (0.6363) loss_da_consistency: 0.0087 (0.0093) time: 0.8420 (0.8352) data: 0.0650 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:02:01,053 maskrcnn_benchmark.trainer INFO: eta: 14:56:45 iter: 5580 loss: 1.5732 (1.5984) loss_classifier: 0.0879 (0.1115) loss_box_reg: 0.0836 (0.1181) loss_objectness: 0.0297 (0.0461) loss_rpn_box_reg: 0.0133 (0.0234) loss_da_image: 0.6580 (0.6535) loss_da_instance: 0.6625 (0.6364) loss_da_consistency: 0.0093 (0.0093) time: 0.8398 (0.8352) data: 0.0653 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:02:17,902 maskrcnn_benchmark.trainer INFO: eta: 14:56:30 iter: 5600 loss: 1.5800 (1.5985) loss_classifier: 0.1112 (0.1116) loss_box_reg: 0.0807 (0.1181) loss_objectness: 0.0389 (0.0461) loss_rpn_box_reg: 0.0163 (0.0234) loss_da_image: 0.6339 (0.6535) loss_da_instance: 0.6549 (0.6365) loss_da_consistency: 0.0080 (0.0093) time: 0.8422 (0.8353) data: 0.0653 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:02:34,838 maskrcnn_benchmark.trainer INFO: eta: 14:56:16 iter: 5620 loss: 1.5233 (1.5983) loss_classifier: 0.0999 (0.1116) loss_box_reg: 0.0887 (0.1180) loss_objectness: 0.0236 (0.0461) loss_rpn_box_reg: 0.0197 (0.0234) loss_da_image: 0.6312 (0.6534) loss_da_instance: 0.6397 (0.6365) loss_da_consistency: 0.0072 (0.0093) time: 0.8462 (0.8353) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:02:51,690 maskrcnn_benchmark.trainer INFO: eta: 14:56:01 iter: 5640 loss: 1.5754 (1.5984) loss_classifier: 0.0896 (0.1116) loss_box_reg: 0.1105 (0.1181) loss_objectness: 0.0282 (0.0461) loss_rpn_box_reg: 0.0178 (0.0234) loss_da_image: 0.6498 (0.6534) loss_da_instance: 0.6422 (0.6366) loss_da_consistency: 0.0081 (0.0093) time: 0.8424 (0.8353) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:03:08,561 maskrcnn_benchmark.trainer INFO: eta: 14:55:46 iter: 5660 loss: 1.5784 (1.5984) loss_classifier: 0.1090 (0.1116) loss_box_reg: 0.1417 (0.1181) loss_objectness: 0.0254 (0.0460) loss_rpn_box_reg: 0.0171 (0.0234) loss_da_image: 0.6429 (0.6533) loss_da_instance: 0.6431 (0.6366) loss_da_consistency: 0.0078 (0.0093) time: 0.8442 (0.8354) data: 0.0647 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:03:25,478 maskrcnn_benchmark.trainer INFO: eta: 14:55:32 iter: 5680 loss: 1.5822 (1.5983) loss_classifier: 0.1002 (0.1116) loss_box_reg: 0.1108 (0.1182) loss_objectness: 0.0237 (0.0460) loss_rpn_box_reg: 0.0205 (0.0234) loss_da_image: 0.6412 (0.6533) loss_da_instance: 0.6485 (0.6367) loss_da_consistency: 0.0075 (0.0093) time: 0.8446 (0.8354) data: 0.0654 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:03:42,339 maskrcnn_benchmark.trainer INFO: eta: 14:55:17 iter: 5700 loss: 1.4925 (1.5981) loss_classifier: 0.0671 (0.1115) loss_box_reg: 0.0629 (0.1181) loss_objectness: 0.0205 (0.0459) loss_rpn_box_reg: 0.0089 (0.0234) loss_da_image: 0.6445 (0.6533) loss_da_instance: 0.6452 (0.6367) loss_da_consistency: 0.0072 (0.0093) time: 0.8423 (0.8354) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:03:59,154 maskrcnn_benchmark.trainer INFO: eta: 14:55:01 iter: 5720 loss: 1.4251 (1.5977) loss_classifier: 0.0659 (0.1113) loss_box_reg: 0.0632 (0.1180) loss_objectness: 0.0174 (0.0458) loss_rpn_box_reg: 0.0107 (0.0233) loss_da_image: 0.6424 (0.6532) loss_da_instance: 0.6283 (0.6367) loss_da_consistency: 0.0083 (0.0093) time: 0.8421 (0.8354) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:04:15,978 maskrcnn_benchmark.trainer INFO: eta: 14:54:46 iter: 5740 loss: 1.5706 (1.5976) loss_classifier: 0.0945 (0.1113) loss_box_reg: 0.0850 (0.1179) loss_objectness: 0.0205 (0.0458) loss_rpn_box_reg: 0.0126 (0.0233) loss_da_image: 0.6651 (0.6533) loss_da_instance: 0.6526 (0.6368) loss_da_consistency: 0.0090 (0.0093) time: 0.8413 (0.8355) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:04:32,815 maskrcnn_benchmark.trainer INFO: eta: 14:54:31 iter: 5760 loss: 1.6105 (1.5976) loss_classifier: 0.0980 (0.1113) loss_box_reg: 0.0996 (0.1179) loss_objectness: 0.0174 (0.0457) loss_rpn_box_reg: 0.0129 (0.0233) loss_da_image: 0.6528 (0.6533) loss_da_instance: 0.6626 (0.6369) loss_da_consistency: 0.0082 (0.0093) time: 0.8409 (0.8355) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:04:49,586 maskrcnn_benchmark.trainer INFO: eta: 14:54:15 iter: 5780 loss: 1.5107 (1.5975) loss_classifier: 0.0688 (0.1112) loss_box_reg: 0.0667 (0.1179) loss_objectness: 0.0285 (0.0457) loss_rpn_box_reg: 0.0148 (0.0233) loss_da_image: 0.6548 (0.6533) loss_da_instance: 0.6615 (0.6370) loss_da_consistency: 0.0071 (0.0093) time: 0.8378 (0.8355) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:05:06,407 maskrcnn_benchmark.trainer INFO: eta: 14:53:59 iter: 5800 loss: 1.5260 (1.5974) loss_classifier: 0.0758 (0.1111) loss_box_reg: 0.0992 (0.1178) loss_objectness: 0.0181 (0.0456) loss_rpn_box_reg: 0.0063 (0.0232) loss_da_image: 0.6708 (0.6534) loss_da_instance: 0.6451 (0.6370) loss_da_consistency: 0.0090 (0.0093) time: 0.8412 (0.8355) data: 0.0640 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:05:23,222 maskrcnn_benchmark.trainer INFO: eta: 14:53:44 iter: 5820 loss: 1.5771 (1.5973) loss_classifier: 0.0859 (0.1110) loss_box_reg: 0.0924 (0.1178) loss_objectness: 0.0208 (0.0455) loss_rpn_box_reg: 0.0159 (0.0232) loss_da_image: 0.6624 (0.6534) loss_da_instance: 0.6593 (0.6370) loss_da_consistency: 0.0087 (0.0093) time: 0.8400 (0.8355) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:05:40,063 maskrcnn_benchmark.trainer INFO: eta: 14:53:28 iter: 5840 loss: 1.5662 (1.5973) loss_classifier: 0.0724 (0.1110) loss_box_reg: 0.0933 (0.1178) loss_objectness: 0.0289 (0.0455) loss_rpn_box_reg: 0.0136 (0.0233) loss_da_image: 0.6603 (0.6535) loss_da_instance: 0.6425 (0.6371) loss_da_consistency: 0.0080 (0.0092) time: 0.8415 (0.8356) data: 0.0651 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:05:56,895 maskrcnn_benchmark.trainer INFO: eta: 14:53:13 iter: 5860 loss: 1.5365 (1.5972) loss_classifier: 0.0745 (0.1109) loss_box_reg: 0.0779 (0.1177) loss_objectness: 0.0175 (0.0454) loss_rpn_box_reg: 0.0155 (0.0233) loss_da_image: 0.6618 (0.6535) loss_da_instance: 0.6643 (0.6372) loss_da_consistency: 0.0065 (0.0092) time: 0.8420 (0.8356) data: 0.0656 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:06:13,770 maskrcnn_benchmark.trainer INFO: eta: 14:52:58 iter: 5880 loss: 1.4772 (1.5970) loss_classifier: 0.0689 (0.1108) loss_box_reg: 0.0673 (0.1176) loss_objectness: 0.0188 (0.0454) loss_rpn_box_reg: 0.0146 (0.0233) loss_da_image: 0.6497 (0.6535) loss_da_instance: 0.6574 (0.6373) loss_da_consistency: 0.0069 (0.0092) time: 0.8437 (0.8356) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:06:30,520 maskrcnn_benchmark.trainer INFO: eta: 14:52:42 iter: 5900 loss: 1.4335 (1.5967) loss_classifier: 0.0501 (0.1106) loss_box_reg: 0.0536 (0.1174) loss_objectness: 0.0131 (0.0453) loss_rpn_box_reg: 0.0065 (0.0232) loss_da_image: 0.6618 (0.6536) loss_da_instance: 0.6517 (0.6373) loss_da_consistency: 0.0077 (0.0092) time: 0.8361 (0.8356) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:06:47,351 maskrcnn_benchmark.trainer INFO: eta: 14:52:26 iter: 5920 loss: 1.5800 (1.5966) loss_classifier: 0.0877 (0.1106) loss_box_reg: 0.1001 (0.1174) loss_objectness: 0.0236 (0.0452) loss_rpn_box_reg: 0.0139 (0.0232) loss_da_image: 0.6652 (0.6536) loss_da_instance: 0.6458 (0.6374) loss_da_consistency: 0.0080 (0.0092) time: 0.8411 (0.8356) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:07:04,149 maskrcnn_benchmark.trainer INFO: eta: 14:52:11 iter: 5940 loss: 1.5763 (1.5966) loss_classifier: 0.1028 (0.1105) loss_box_reg: 0.1064 (0.1174) loss_objectness: 0.0165 (0.0452) loss_rpn_box_reg: 0.0140 (0.0232) loss_da_image: 0.6673 (0.6536) loss_da_instance: 0.6388 (0.6374) loss_da_consistency: 0.0097 (0.0092) time: 0.8403 (0.8356) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:07:20,941 maskrcnn_benchmark.trainer INFO: eta: 14:51:55 iter: 5960 loss: 1.5219 (1.5964) loss_classifier: 0.0647 (0.1104) loss_box_reg: 0.0835 (0.1174) loss_objectness: 0.0144 (0.0451) loss_rpn_box_reg: 0.0079 (0.0232) loss_da_image: 0.6652 (0.6537) loss_da_instance: 0.6562 (0.6375) loss_da_consistency: 0.0077 (0.0092) time: 0.8404 (0.8357) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:07:37,739 maskrcnn_benchmark.trainer INFO: eta: 14:51:39 iter: 5980 loss: 1.5530 (1.5963) loss_classifier: 0.0879 (0.1104) loss_box_reg: 0.0730 (0.1173) loss_objectness: 0.0162 (0.0450) loss_rpn_box_reg: 0.0131 (0.0231) loss_da_image: 0.6683 (0.6537) loss_da_instance: 0.6540 (0.6375) loss_da_consistency: 0.0079 (0.0092) time: 0.8399 (0.8357) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:07:54,535 maskrcnn_benchmark.trainer INFO: eta: 14:51:23 iter: 6000 loss: 1.6052 (1.5964) loss_classifier: 0.1152 (0.1103) loss_box_reg: 0.1381 (0.1174) loss_objectness: 0.0215 (0.0449) loss_rpn_box_reg: 0.0167 (0.0231) loss_da_image: 0.6670 (0.6538) loss_da_instance: 0.6493 (0.6376) loss_da_consistency: 0.0082 (0.0092) time: 0.8389 (0.8357) data: 0.0655 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:08:11,375 maskrcnn_benchmark.trainer INFO: eta: 14:51:08 iter: 6020 loss: 1.5547 (1.5962) loss_classifier: 0.0813 (0.1103) loss_box_reg: 0.0798 (0.1173) loss_objectness: 0.0162 (0.0449) loss_rpn_box_reg: 0.0078 (0.0231) loss_da_image: 0.6666 (0.6538) loss_da_instance: 0.6552 (0.6376) loss_da_consistency: 0.0073 (0.0092) time: 0.8414 (0.8357) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:08:28,170 maskrcnn_benchmark.trainer INFO: eta: 14:50:52 iter: 6040 loss: 1.5143 (1.5960) loss_classifier: 0.0664 (0.1102) loss_box_reg: 0.0746 (0.1172) loss_objectness: 0.0191 (0.0448) loss_rpn_box_reg: 0.0079 (0.0231) loss_da_image: 0.6604 (0.6538) loss_da_instance: 0.6515 (0.6377) loss_da_consistency: 0.0067 (0.0092) time: 0.8399 (0.8357) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:08:45,010 maskrcnn_benchmark.trainer INFO: eta: 14:50:36 iter: 6060 loss: 1.5159 (1.5959) loss_classifier: 0.0859 (0.1101) loss_box_reg: 0.0643 (0.1171) loss_objectness: 0.0172 (0.0447) loss_rpn_box_reg: 0.0128 (0.0231) loss_da_image: 0.6595 (0.6538) loss_da_instance: 0.6527 (0.6378) loss_da_consistency: 0.0077 (0.0092) time: 0.8405 (0.8357) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:09:01,826 maskrcnn_benchmark.trainer INFO: eta: 14:50:21 iter: 6080 loss: 1.4927 (1.5956) loss_classifier: 0.0697 (0.1100) loss_box_reg: 0.0565 (0.1170) loss_objectness: 0.0147 (0.0447) loss_rpn_box_reg: 0.0133 (0.0231) loss_da_image: 0.6660 (0.6539) loss_da_instance: 0.6623 (0.6378) loss_da_consistency: 0.0070 (0.0092) time: 0.8404 (0.8358) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:09:18,658 maskrcnn_benchmark.trainer INFO: eta: 14:50:05 iter: 6100 loss: 1.5670 (1.5955) loss_classifier: 0.0794 (0.1099) loss_box_reg: 0.1068 (0.1170) loss_objectness: 0.0191 (0.0446) loss_rpn_box_reg: 0.0075 (0.0230) loss_da_image: 0.6621 (0.6539) loss_da_instance: 0.6490 (0.6379) loss_da_consistency: 0.0070 (0.0092) time: 0.8411 (0.8358) data: 0.0636 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:09:35,459 maskrcnn_benchmark.trainer INFO: eta: 14:49:50 iter: 6120 loss: 1.5361 (1.5955) loss_classifier: 0.0798 (0.1099) loss_box_reg: 0.1034 (0.1170) loss_objectness: 0.0253 (0.0446) loss_rpn_box_reg: 0.0149 (0.0230) loss_da_image: 0.6655 (0.6540) loss_da_instance: 0.6405 (0.6379) loss_da_consistency: 0.0080 (0.0092) time: 0.8399 (0.8358) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:09:52,269 maskrcnn_benchmark.trainer INFO: eta: 14:49:34 iter: 6140 loss: 1.5566 (1.5956) loss_classifier: 0.0959 (0.1099) loss_box_reg: 0.0936 (0.1170) loss_objectness: 0.0256 (0.0446) loss_rpn_box_reg: 0.0113 (0.0230) loss_da_image: 0.6430 (0.6539) loss_da_instance: 0.6538 (0.6380) loss_da_consistency: 0.0085 (0.0092) time: 0.8394 (0.8358) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:10:09,091 maskrcnn_benchmark.trainer INFO: eta: 14:49:18 iter: 6160 loss: 1.6092 (1.5957) loss_classifier: 0.1166 (0.1099) loss_box_reg: 0.0969 (0.1171) loss_objectness: 0.0214 (0.0446) loss_rpn_box_reg: 0.0195 (0.0230) loss_da_image: 0.6358 (0.6539) loss_da_instance: 0.6616 (0.6380) loss_da_consistency: 0.0078 (0.0092) time: 0.8399 (0.8358) data: 0.0640 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:10:25,914 maskrcnn_benchmark.trainer INFO: eta: 14:49:03 iter: 6180 loss: 1.5726 (1.5957) loss_classifier: 0.1212 (0.1099) loss_box_reg: 0.1417 (0.1171) loss_objectness: 0.0384 (0.0446) loss_rpn_box_reg: 0.0237 (0.0230) loss_da_image: 0.6362 (0.6538) loss_da_instance: 0.6435 (0.6380) loss_da_consistency: 0.0084 (0.0092) time: 0.8425 (0.8358) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:10:42,724 maskrcnn_benchmark.trainer INFO: eta: 14:48:47 iter: 6200 loss: 1.4850 (1.5954) loss_classifier: 0.0783 (0.1099) loss_box_reg: 0.0662 (0.1171) loss_objectness: 0.0197 (0.0445) loss_rpn_box_reg: 0.0068 (0.0230) loss_da_image: 0.6311 (0.6537) loss_da_instance: 0.6514 (0.6381) loss_da_consistency: 0.0075 (0.0092) time: 0.8427 (0.8359) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:10:59,523 maskrcnn_benchmark.trainer INFO: eta: 14:48:31 iter: 6220 loss: 1.5277 (1.5954) loss_classifier: 0.0909 (0.1099) loss_box_reg: 0.1112 (0.1171) loss_objectness: 0.0258 (0.0445) loss_rpn_box_reg: 0.0135 (0.0230) loss_da_image: 0.6422 (0.6537) loss_da_instance: 0.6402 (0.6381) loss_da_consistency: 0.0084 (0.0092) time: 0.8396 (0.8359) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:11:16,338 maskrcnn_benchmark.trainer INFO: eta: 14:48:15 iter: 6240 loss: 1.5275 (1.5953) loss_classifier: 0.0775 (0.1098) loss_box_reg: 0.0983 (0.1171) loss_objectness: 0.0145 (0.0444) loss_rpn_box_reg: 0.0079 (0.0229) loss_da_image: 0.6339 (0.6536) loss_da_instance: 0.6546 (0.6382) loss_da_consistency: 0.0076 (0.0092) time: 0.8391 (0.8359) data: 0.0650 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:11:33,101 maskrcnn_benchmark.trainer INFO: eta: 14:47:59 iter: 6260 loss: 1.5169 (1.5950) loss_classifier: 0.0635 (0.1097) loss_box_reg: 0.0707 (0.1170) loss_objectness: 0.0182 (0.0443) loss_rpn_box_reg: 0.0058 (0.0229) loss_da_image: 0.6481 (0.6536) loss_da_instance: 0.6476 (0.6382) loss_da_consistency: 0.0069 (0.0091) time: 0.8377 (0.8359) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:11:49,892 maskrcnn_benchmark.trainer INFO: eta: 14:47:43 iter: 6280 loss: 1.5582 (1.5949) loss_classifier: 0.0676 (0.1097) loss_box_reg: 0.0785 (0.1170) loss_objectness: 0.0183 (0.0443) loss_rpn_box_reg: 0.0105 (0.0229) loss_da_image: 0.6606 (0.6537) loss_da_instance: 0.6630 (0.6383) loss_da_consistency: 0.0079 (0.0091) time: 0.8386 (0.8359) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:12:06,641 maskrcnn_benchmark.trainer INFO: eta: 14:47:27 iter: 6300 loss: 1.4886 (1.5946) loss_classifier: 0.0554 (0.1095) loss_box_reg: 0.0623 (0.1169) loss_objectness: 0.0128 (0.0442) loss_rpn_box_reg: 0.0109 (0.0228) loss_da_image: 0.6494 (0.6537) loss_da_instance: 0.6487 (0.6383) loss_da_consistency: 0.0064 (0.0091) time: 0.8366 (0.8359) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:12:23,416 maskrcnn_benchmark.trainer INFO: eta: 14:47:10 iter: 6320 loss: 1.5175 (1.5944) loss_classifier: 0.0809 (0.1095) loss_box_reg: 0.0933 (0.1168) loss_objectness: 0.0141 (0.0441) loss_rpn_box_reg: 0.0103 (0.0228) loss_da_image: 0.6619 (0.6537) loss_da_instance: 0.6533 (0.6384) loss_da_consistency: 0.0079 (0.0091) time: 0.8394 (0.8359) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 15:12:40,121 maskrcnn_benchmark.trainer INFO: eta: 14:46:54 iter: 6340 loss: 1.5810 (1.5944) loss_classifier: 0.0934 (0.1095) loss_box_reg: 0.1011 (0.1167) loss_objectness: 0.0188 (0.0441) loss_rpn_box_reg: 0.0140 (0.0228) loss_da_image: 0.6623 (0.6537) loss_da_instance: 0.6577 (0.6385) loss_da_consistency: 0.0070 (0.0091) time: 0.8369 (0.8359) data: 0.0657 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:12:56,851 maskrcnn_benchmark.trainer INFO: eta: 14:46:37 iter: 6360 loss: 1.5115 (1.5943) loss_classifier: 0.0729 (0.1094) loss_box_reg: 0.0841 (0.1167) loss_objectness: 0.0161 (0.0440) loss_rpn_box_reg: 0.0125 (0.0228) loss_da_image: 0.6554 (0.6537) loss_da_instance: 0.6500 (0.6385) loss_da_consistency: 0.0072 (0.0091) time: 0.8330 (0.8359) data: 0.0672 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:13:13,813 maskrcnn_benchmark.trainer INFO: eta: 14:46:23 iter: 6380 loss: 1.5422 (1.5942) loss_classifier: 0.0793 (0.1093) loss_box_reg: 0.1214 (0.1167) loss_objectness: 0.0176 (0.0440) loss_rpn_box_reg: 0.0087 (0.0228) loss_da_image: 0.6529 (0.6537) loss_da_instance: 0.6475 (0.6385) loss_da_consistency: 0.0091 (0.0091) time: 0.8455 (0.8360) data: 0.0666 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:13:30,896 maskrcnn_benchmark.trainer INFO: eta: 14:46:10 iter: 6400 loss: 1.5251 (1.5940) loss_classifier: 0.0931 (0.1093) loss_box_reg: 0.1022 (0.1167) loss_objectness: 0.0179 (0.0439) loss_rpn_box_reg: 0.0158 (0.0228) loss_da_image: 0.6497 (0.6537) loss_da_instance: 0.6392 (0.6385) loss_da_consistency: 0.0090 (0.0091) time: 0.8477 (0.8360) data: 0.0667 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:13:48,051 maskrcnn_benchmark.trainer INFO: eta: 14:45:57 iter: 6420 loss: 1.5356 (1.5939) loss_classifier: 0.0728 (0.1092) loss_box_reg: 0.0834 (0.1166) loss_objectness: 0.0181 (0.0439) loss_rpn_box_reg: 0.0123 (0.0227) loss_da_image: 0.6527 (0.6538) loss_da_instance: 0.6624 (0.6386) loss_da_consistency: 0.0070 (0.0091) time: 0.8583 (0.8361) data: 0.0670 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:14:05,183 maskrcnn_benchmark.trainer INFO: eta: 14:45:44 iter: 6440 loss: 1.5747 (1.5938) loss_classifier: 0.0927 (0.1092) loss_box_reg: 0.0989 (0.1165) loss_objectness: 0.0228 (0.0438) loss_rpn_box_reg: 0.0146 (0.0227) loss_da_image: 0.6638 (0.6538) loss_da_instance: 0.6448 (0.6386) loss_da_consistency: 0.0086 (0.0091) time: 0.8593 (0.8361) data: 0.0666 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:14:22,356 maskrcnn_benchmark.trainer INFO: eta: 14:45:32 iter: 6460 loss: 1.5380 (1.5937) loss_classifier: 0.0878 (0.1091) loss_box_reg: 0.1248 (0.1165) loss_objectness: 0.0190 (0.0438) loss_rpn_box_reg: 0.0120 (0.0227) loss_da_image: 0.6633 (0.6538) loss_da_instance: 0.6395 (0.6386) loss_da_consistency: 0.0093 (0.0091) time: 0.8599 (0.8362) data: 0.0673 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:14:39,429 maskrcnn_benchmark.trainer INFO: eta: 14:45:19 iter: 6480 loss: 1.5550 (1.5937) loss_classifier: 0.0647 (0.1091) loss_box_reg: 0.0752 (0.1165) loss_objectness: 0.0193 (0.0437) loss_rpn_box_reg: 0.0157 (0.0227) loss_da_image: 0.6782 (0.6539) loss_da_instance: 0.6496 (0.6386) loss_da_consistency: 0.0081 (0.0091) time: 0.8498 (0.8363) data: 0.0649 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:14:56,419 maskrcnn_benchmark.trainer INFO: eta: 14:45:05 iter: 6500 loss: 1.5894 (1.5938) loss_classifier: 0.0833 (0.1091) loss_box_reg: 0.1292 (0.1166) loss_objectness: 0.0317 (0.0437) loss_rpn_box_reg: 0.0171 (0.0227) loss_da_image: 0.6648 (0.6539) loss_da_instance: 0.6436 (0.6387) loss_da_consistency: 0.0084 (0.0091) time: 0.8491 (0.8363) data: 0.0663 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:15:13,250 maskrcnn_benchmark.trainer INFO: eta: 14:44:49 iter: 6520 loss: 1.5824 (1.5938) loss_classifier: 0.0902 (0.1091) loss_box_reg: 0.0672 (0.1165) loss_objectness: 0.0397 (0.0437) loss_rpn_box_reg: 0.0118 (0.0227) loss_da_image: 0.6625 (0.6540) loss_da_instance: 0.6491 (0.6387) loss_da_consistency: 0.0085 (0.0091) time: 0.8409 (0.8363) data: 0.0676 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:15:30,071 maskrcnn_benchmark.trainer INFO: eta: 14:44:33 iter: 6540 loss: 1.5001 (1.5936) loss_classifier: 0.0757 (0.1090) loss_box_reg: 0.0674 (0.1164) loss_objectness: 0.0117 (0.0436) loss_rpn_box_reg: 0.0123 (0.0227) loss_da_image: 0.6673 (0.6540) loss_da_instance: 0.6613 (0.6388) loss_da_consistency: 0.0076 (0.0091) time: 0.8414 (0.8363) data: 0.0690 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:15:46,933 maskrcnn_benchmark.trainer INFO: eta: 14:44:18 iter: 6560 loss: 1.6149 (1.5938) loss_classifier: 0.0852 (0.1090) loss_box_reg: 0.1092 (0.1164) loss_objectness: 0.0222 (0.0436) loss_rpn_box_reg: 0.0129 (0.0227) loss_da_image: 0.6800 (0.6541) loss_da_instance: 0.6551 (0.6388) loss_da_consistency: 0.0100 (0.0091) time: 0.8430 (0.8364) data: 0.0681 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:16:03,820 maskrcnn_benchmark.trainer INFO: eta: 14:44:03 iter: 6580 loss: 1.5322 (1.5937) loss_classifier: 0.0957 (0.1090) loss_box_reg: 0.0836 (0.1164) loss_objectness: 0.0171 (0.0435) loss_rpn_box_reg: 0.0146 (0.0227) loss_da_image: 0.6603 (0.6542) loss_da_instance: 0.6567 (0.6389) loss_da_consistency: 0.0072 (0.0091) time: 0.8434 (0.8364) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:16:20,706 maskrcnn_benchmark.trainer INFO: eta: 14:43:47 iter: 6600 loss: 1.5655 (1.5937) loss_classifier: 0.1011 (0.1090) loss_box_reg: 0.1082 (0.1164) loss_objectness: 0.0253 (0.0435) loss_rpn_box_reg: 0.0202 (0.0227) loss_da_image: 0.6400 (0.6541) loss_da_instance: 0.6509 (0.6389) loss_da_consistency: 0.0081 (0.0091) time: 0.8438 (0.8364) data: 0.0637 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:16:37,529 maskrcnn_benchmark.trainer INFO: eta: 14:43:32 iter: 6620 loss: 1.5364 (1.5936) loss_classifier: 0.0925 (0.1090) loss_box_reg: 0.1272 (0.1164) loss_objectness: 0.0231 (0.0434) loss_rpn_box_reg: 0.0165 (0.0227) loss_da_image: 0.6248 (0.6540) loss_da_instance: 0.6462 (0.6389) loss_da_consistency: 0.0085 (0.0091) time: 0.8414 (0.8364) data: 0.0626 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:16:54,351 maskrcnn_benchmark.trainer INFO: eta: 14:43:16 iter: 6640 loss: 1.5001 (1.5933) loss_classifier: 0.0749 (0.1089) loss_box_reg: 0.0812 (0.1163) loss_objectness: 0.0263 (0.0434) loss_rpn_box_reg: 0.0106 (0.0226) loss_da_image: 0.6341 (0.6540) loss_da_instance: 0.6640 (0.6390) loss_da_consistency: 0.0084 (0.0091) time: 0.8415 (0.8364) data: 0.0642 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:17:11,160 maskrcnn_benchmark.trainer INFO: eta: 14:43:00 iter: 6660 loss: 1.5419 (1.5931) loss_classifier: 0.0797 (0.1088) loss_box_reg: 0.1026 (0.1163) loss_objectness: 0.0142 (0.0433) loss_rpn_box_reg: 0.0166 (0.0226) loss_da_image: 0.6301 (0.6539) loss_da_instance: 0.6539 (0.6390) loss_da_consistency: 0.0076 (0.0091) time: 0.8396 (0.8364) data: 0.0644 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:17:27,961 maskrcnn_benchmark.trainer INFO: eta: 14:42:44 iter: 6680 loss: 1.5305 (1.5930) loss_classifier: 0.0672 (0.1088) loss_box_reg: 0.0890 (0.1162) loss_objectness: 0.0166 (0.0433) loss_rpn_box_reg: 0.0135 (0.0226) loss_da_image: 0.6513 (0.6539) loss_da_instance: 0.6665 (0.6391) loss_da_consistency: 0.0070 (0.0091) time: 0.8396 (0.8365) data: 0.0637 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:17:44,776 maskrcnn_benchmark.trainer INFO: eta: 14:42:28 iter: 6700 loss: 1.5101 (1.5928) loss_classifier: 0.0764 (0.1087) loss_box_reg: 0.0812 (0.1161) loss_objectness: 0.0190 (0.0432) loss_rpn_box_reg: 0.0126 (0.0226) loss_da_image: 0.6412 (0.6539) loss_da_instance: 0.6546 (0.6392) loss_da_consistency: 0.0066 (0.0091) time: 0.8416 (0.8365) data: 0.0640 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:18:01,593 maskrcnn_benchmark.trainer INFO: eta: 14:42:12 iter: 6720 loss: 1.5454 (1.5927) loss_classifier: 0.0807 (0.1086) loss_box_reg: 0.0870 (0.1161) loss_objectness: 0.0166 (0.0431) loss_rpn_box_reg: 0.0093 (0.0226) loss_da_image: 0.6591 (0.6539) loss_da_instance: 0.6617 (0.6392) loss_da_consistency: 0.0074 (0.0091) time: 0.8396 (0.8365) data: 0.0652 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:18:18,443 maskrcnn_benchmark.trainer INFO: eta: 14:41:56 iter: 6740 loss: 1.5498 (1.5926) loss_classifier: 0.0808 (0.1086) loss_box_reg: 0.1065 (0.1161) loss_objectness: 0.0138 (0.0431) loss_rpn_box_reg: 0.0142 (0.0226) loss_da_image: 0.6620 (0.6540) loss_da_instance: 0.6611 (0.6393) loss_da_consistency: 0.0076 (0.0091) time: 0.8419 (0.8365) data: 0.0654 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:18:35,283 maskrcnn_benchmark.trainer INFO: eta: 14:41:41 iter: 6760 loss: 1.5031 (1.5925) loss_classifier: 0.0662 (0.1085) loss_box_reg: 0.0920 (0.1160) loss_objectness: 0.0109 (0.0430) loss_rpn_box_reg: 0.0101 (0.0225) loss_da_image: 0.6697 (0.6540) loss_da_instance: 0.6607 (0.6394) loss_da_consistency: 0.0065 (0.0091) time: 0.8417 (0.8365) data: 0.0656 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:18:52,062 maskrcnn_benchmark.trainer INFO: eta: 14:41:24 iter: 6780 loss: 1.4834 (1.5923) loss_classifier: 0.0534 (0.1084) loss_box_reg: 0.0774 (0.1159) loss_objectness: 0.0130 (0.0429) loss_rpn_box_reg: 0.0068 (0.0225) loss_da_image: 0.6621 (0.6540) loss_da_instance: 0.6624 (0.6394) loss_da_consistency: 0.0064 (0.0091) time: 0.8390 (0.8365) data: 0.0634 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:19:08,774 maskrcnn_benchmark.trainer INFO: eta: 14:41:07 iter: 6800 loss: 1.5101 (1.5923) loss_classifier: 0.0750 (0.1084) loss_box_reg: 0.0759 (0.1159) loss_objectness: 0.0182 (0.0429) loss_rpn_box_reg: 0.0065 (0.0225) loss_da_image: 0.6644 (0.6541) loss_da_instance: 0.6620 (0.6395) loss_da_consistency: 0.0068 (0.0091) time: 0.8357 (0.8365) data: 0.0646 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:19:25,615 maskrcnn_benchmark.trainer INFO: eta: 14:40:52 iter: 6820 loss: 1.5198 (1.5921) loss_classifier: 0.0951 (0.1083) loss_box_reg: 0.0799 (0.1159) loss_objectness: 0.0171 (0.0428) loss_rpn_box_reg: 0.0114 (0.0225) loss_da_image: 0.6534 (0.6541) loss_da_instance: 0.6371 (0.6395) loss_da_consistency: 0.0068 (0.0090) time: 0.8404 (0.8365) data: 0.0646 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:19:42,455 maskrcnn_benchmark.trainer INFO: eta: 14:40:36 iter: 6840 loss: 1.5881 (1.5921) loss_classifier: 0.1116 (0.1083) loss_box_reg: 0.1188 (0.1159) loss_objectness: 0.0186 (0.0428) loss_rpn_box_reg: 0.0161 (0.0225) loss_da_image: 0.6526 (0.6541) loss_da_instance: 0.6527 (0.6395) loss_da_consistency: 0.0079 (0.0090) time: 0.8423 (0.8366) data: 0.0646 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:19:59,290 maskrcnn_benchmark.trainer INFO: eta: 14:40:20 iter: 6860 loss: 1.5163 (1.5921) loss_classifier: 0.0817 (0.1083) loss_box_reg: 0.0748 (0.1159) loss_objectness: 0.0241 (0.0427) loss_rpn_box_reg: 0.0099 (0.0225) loss_da_image: 0.6621 (0.6541) loss_da_instance: 0.6389 (0.6396) loss_da_consistency: 0.0074 (0.0090) time: 0.8407 (0.8366) data: 0.0647 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:20:16,075 maskrcnn_benchmark.trainer INFO: eta: 14:40:04 iter: 6880 loss: 1.5396 (1.5921) loss_classifier: 0.0806 (0.1083) loss_box_reg: 0.1170 (0.1159) loss_objectness: 0.0165 (0.0427) loss_rpn_box_reg: 0.0196 (0.0225) loss_da_image: 0.6632 (0.6541) loss_da_instance: 0.6536 (0.6396) loss_da_consistency: 0.0072 (0.0090) time: 0.8389 (0.8366) data: 0.0634 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:20:32,857 maskrcnn_benchmark.trainer INFO: eta: 14:39:48 iter: 6900 loss: 1.5161 (1.5919) loss_classifier: 0.0795 (0.1082) loss_box_reg: 0.0692 (0.1158) loss_objectness: 0.0192 (0.0426) loss_rpn_box_reg: 0.0130 (0.0224) loss_da_image: 0.6621 (0.6542) loss_da_instance: 0.6363 (0.6396) loss_da_consistency: 0.0076 (0.0090) time: 0.8390 (0.8366) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:20:49,686 maskrcnn_benchmark.trainer INFO: eta: 14:39:32 iter: 6920 loss: 1.5637 (1.5919) loss_classifier: 0.0770 (0.1082) loss_box_reg: 0.0744 (0.1158) loss_objectness: 0.0295 (0.0426) loss_rpn_box_reg: 0.0167 (0.0224) loss_da_image: 0.6631 (0.6542) loss_da_instance: 0.6211 (0.6396) loss_da_consistency: 0.0094 (0.0090) time: 0.8418 (0.8366) data: 0.0646 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:21:06,480 maskrcnn_benchmark.trainer INFO: eta: 14:39:16 iter: 6940 loss: 1.4964 (1.5917) loss_classifier: 0.0697 (0.1081) loss_box_reg: 0.0662 (0.1157) loss_objectness: 0.0147 (0.0426) loss_rpn_box_reg: 0.0116 (0.0224) loss_da_image: 0.6610 (0.6542) loss_da_instance: 0.6573 (0.6397) loss_da_consistency: 0.0078 (0.0090) time: 0.8391 (0.8366) data: 0.0636 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:21:23,246 maskrcnn_benchmark.trainer INFO: eta: 14:38:59 iter: 6960 loss: 1.5217 (1.5917) loss_classifier: 0.0843 (0.1081) loss_box_reg: 0.0838 (0.1157) loss_objectness: 0.0203 (0.0425) loss_rpn_box_reg: 0.0104 (0.0224) loss_da_image: 0.6562 (0.6542) loss_da_instance: 0.6692 (0.6398) loss_da_consistency: 0.0067 (0.0090) time: 0.8375 (0.8366) data: 0.0633 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:21:40,023 maskrcnn_benchmark.trainer INFO: eta: 14:38:43 iter: 6980 loss: 1.5205 (1.5915) loss_classifier: 0.0674 (0.1080) loss_box_reg: 0.0687 (0.1156) loss_objectness: 0.0119 (0.0424) loss_rpn_box_reg: 0.0095 (0.0224) loss_da_image: 0.6684 (0.6543) loss_da_instance: 0.6586 (0.6398) loss_da_consistency: 0.0063 (0.0090) time: 0.8383 (0.8366) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:21:56,839 maskrcnn_benchmark.trainer INFO: eta: 14:38:27 iter: 7000 loss: 1.5375 (1.5914) loss_classifier: 0.0797 (0.1080) loss_box_reg: 0.0980 (0.1155) loss_objectness: 0.0184 (0.0424) loss_rpn_box_reg: 0.0101 (0.0224) loss_da_image: 0.6660 (0.6543) loss_da_instance: 0.6482 (0.6398) loss_da_consistency: 0.0062 (0.0090) time: 0.8400 (0.8366) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:22:13,575 maskrcnn_benchmark.trainer INFO: eta: 14:38:10 iter: 7020 loss: 1.5139 (1.5913) loss_classifier: 0.0743 (0.1079) loss_box_reg: 0.0748 (0.1155) loss_objectness: 0.0165 (0.0423) loss_rpn_box_reg: 0.0100 (0.0223) loss_da_image: 0.6675 (0.6544) loss_da_instance: 0.6406 (0.6399) loss_da_consistency: 0.0080 (0.0090) time: 0.8374 (0.8366) data: 0.0637 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:22:30,344 maskrcnn_benchmark.trainer INFO: eta: 14:37:54 iter: 7040 loss: 1.5397 (1.5912) loss_classifier: 0.0934 (0.1078) loss_box_reg: 0.0659 (0.1154) loss_objectness: 0.0193 (0.0423) loss_rpn_box_reg: 0.0122 (0.0223) loss_da_image: 0.6617 (0.6544) loss_da_instance: 0.6655 (0.6399) loss_da_consistency: 0.0060 (0.0090) time: 0.8391 (0.8366) data: 0.0637 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:22:47,127 maskrcnn_benchmark.trainer INFO: eta: 14:37:38 iter: 7060 loss: 1.5518 (1.5912) loss_classifier: 0.0851 (0.1078) loss_box_reg: 0.1013 (0.1155) loss_objectness: 0.0170 (0.0423) loss_rpn_box_reg: 0.0105 (0.0223) loss_da_image: 0.6592 (0.6544) loss_da_instance: 0.6560 (0.6400) loss_da_consistency: 0.0070 (0.0090) time: 0.8389 (0.8366) data: 0.0634 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:23:03,883 maskrcnn_benchmark.trainer INFO: eta: 14:37:21 iter: 7080 loss: 1.4768 (1.5910) loss_classifier: 0.0681 (0.1077) loss_box_reg: 0.0609 (0.1154) loss_objectness: 0.0154 (0.0422) loss_rpn_box_reg: 0.0073 (0.0223) loss_da_image: 0.6563 (0.6544) loss_da_instance: 0.6629 (0.6400) loss_da_consistency: 0.0064 (0.0090) time: 0.8366 (0.8366) data: 0.0627 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:23:20,701 maskrcnn_benchmark.trainer INFO: eta: 14:37:05 iter: 7100 loss: 1.5396 (1.5909) loss_classifier: 0.0825 (0.1076) loss_box_reg: 0.1080 (0.1154) loss_objectness: 0.0175 (0.0421) loss_rpn_box_reg: 0.0095 (0.0223) loss_da_image: 0.6589 (0.6544) loss_da_instance: 0.6394 (0.6401) loss_da_consistency: 0.0085 (0.0090) time: 0.8398 (0.8367) data: 0.0629 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:23:37,418 maskrcnn_benchmark.trainer INFO: eta: 14:36:48 iter: 7120 loss: 1.4947 (1.5907) loss_classifier: 0.0671 (0.1075) loss_box_reg: 0.0750 (0.1153) loss_objectness: 0.0105 (0.0421) loss_rpn_box_reg: 0.0081 (0.0223) loss_da_image: 0.6542 (0.6544) loss_da_instance: 0.6464 (0.6401) loss_da_consistency: 0.0073 (0.0090) time: 0.8340 (0.8367) data: 0.0652 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:23:54,211 maskrcnn_benchmark.trainer INFO: eta: 14:36:32 iter: 7140 loss: 1.4934 (1.5905) loss_classifier: 0.0817 (0.1075) loss_box_reg: 0.0660 (0.1152) loss_objectness: 0.0136 (0.0420) loss_rpn_box_reg: 0.0117 (0.0222) loss_da_image: 0.6561 (0.6544) loss_da_instance: 0.6494 (0.6402) loss_da_consistency: 0.0076 (0.0090) time: 0.8396 (0.8367) data: 0.0658 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:24:10,984 maskrcnn_benchmark.trainer INFO: eta: 14:36:16 iter: 7160 loss: 1.5160 (1.5904) loss_classifier: 0.0752 (0.1074) loss_box_reg: 0.0913 (0.1152) loss_objectness: 0.0158 (0.0420) loss_rpn_box_reg: 0.0093 (0.0222) loss_da_image: 0.6612 (0.6544) loss_da_instance: 0.6485 (0.6402) loss_da_consistency: 0.0067 (0.0090) time: 0.8376 (0.8367) data: 0.0636 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:24:27,800 maskrcnn_benchmark.trainer INFO: eta: 14:36:00 iter: 7180 loss: 1.5626 (1.5903) loss_classifier: 0.0753 (0.1073) loss_box_reg: 0.0944 (0.1152) loss_objectness: 0.0191 (0.0419) loss_rpn_box_reg: 0.0120 (0.0222) loss_da_image: 0.6659 (0.6544) loss_da_instance: 0.6511 (0.6402) loss_da_consistency: 0.0072 (0.0090) time: 0.8402 (0.8367) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:24:44,617 maskrcnn_benchmark.trainer INFO: eta: 14:35:44 iter: 7200 loss: 1.6237 (1.5904) loss_classifier: 0.1097 (0.1074) loss_box_reg: 0.1419 (0.1152) loss_objectness: 0.0286 (0.0419) loss_rpn_box_reg: 0.0242 (0.0222) loss_da_image: 0.6539 (0.6544) loss_da_instance: 0.6529 (0.6403) loss_da_consistency: 0.0078 (0.0090) time: 0.8403 (0.8367) data: 0.0651 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:25:01,371 maskrcnn_benchmark.trainer INFO: eta: 14:35:27 iter: 7220 loss: 1.5195 (1.5904) loss_classifier: 0.0809 (0.1073) loss_box_reg: 0.0924 (0.1152) loss_objectness: 0.0151 (0.0418) loss_rpn_box_reg: 0.0105 (0.0222) loss_da_image: 0.6666 (0.6545) loss_da_instance: 0.6576 (0.6403) loss_da_consistency: 0.0074 (0.0090) time: 0.8376 (0.8367) data: 0.0646 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:25:18,112 maskrcnn_benchmark.trainer INFO: eta: 14:35:10 iter: 7240 loss: 1.5419 (1.5902) loss_classifier: 0.0945 (0.1073) loss_box_reg: 0.0695 (0.1151) loss_objectness: 0.0098 (0.0418) loss_rpn_box_reg: 0.0078 (0.0222) loss_da_image: 0.6573 (0.6545) loss_da_instance: 0.6430 (0.6404) loss_da_consistency: 0.0070 (0.0090) time: 0.8374 (0.8367) data: 0.0632 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:25:34,873 maskrcnn_benchmark.trainer INFO: eta: 14:34:54 iter: 7260 loss: 1.5688 (1.5902) loss_classifier: 0.0906 (0.1072) loss_box_reg: 0.0805 (0.1151) loss_objectness: 0.0169 (0.0417) loss_rpn_box_reg: 0.0153 (0.0222) loss_da_image: 0.6615 (0.6545) loss_da_instance: 0.6746 (0.6404) loss_da_consistency: 0.0073 (0.0089) time: 0.8368 (0.8367) data: 0.0638 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:25:51,673 maskrcnn_benchmark.trainer INFO: eta: 14:34:38 iter: 7280 loss: 1.5996 (1.5902) loss_classifier: 0.0946 (0.1072) loss_box_reg: 0.1161 (0.1151) loss_objectness: 0.0297 (0.0417) loss_rpn_box_reg: 0.0149 (0.0222) loss_da_image: 0.6657 (0.6546) loss_da_instance: 0.6480 (0.6405) loss_da_consistency: 0.0084 (0.0089) time: 0.8399 (0.8367) data: 0.0649 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:26:08,454 maskrcnn_benchmark.trainer INFO: eta: 14:34:21 iter: 7300 loss: 1.5870 (1.5902) loss_classifier: 0.0831 (0.1072) loss_box_reg: 0.1034 (0.1151) loss_objectness: 0.0199 (0.0417) loss_rpn_box_reg: 0.0214 (0.0222) loss_da_image: 0.6696 (0.6546) loss_da_instance: 0.6340 (0.6405) loss_da_consistency: 0.0076 (0.0089) time: 0.8411 (0.8367) data: 0.0637 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:26:25,220 maskrcnn_benchmark.trainer INFO: eta: 14:34:05 iter: 7320 loss: 1.5652 (1.5903) loss_classifier: 0.0810 (0.1072) loss_box_reg: 0.1042 (0.1151) loss_objectness: 0.0214 (0.0416) loss_rpn_box_reg: 0.0191 (0.0222) loss_da_image: 0.6582 (0.6546) loss_da_instance: 0.6520 (0.6405) loss_da_consistency: 0.0080 (0.0089) time: 0.8370 (0.8367) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:26:41,939 maskrcnn_benchmark.trainer INFO: eta: 14:33:48 iter: 7340 loss: 1.4580 (1.5901) loss_classifier: 0.0521 (0.1071) loss_box_reg: 0.0579 (0.1150) loss_objectness: 0.0150 (0.0416) loss_rpn_box_reg: 0.0101 (0.0222) loss_da_image: 0.6652 (0.6547) loss_da_instance: 0.6697 (0.6406) loss_da_consistency: 0.0059 (0.0089) time: 0.8368 (0.8367) data: 0.0630 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:26:58,695 maskrcnn_benchmark.trainer INFO: eta: 14:33:32 iter: 7360 loss: 1.5531 (1.5900) loss_classifier: 0.0802 (0.1070) loss_box_reg: 0.1048 (0.1150) loss_objectness: 0.0113 (0.0415) loss_rpn_box_reg: 0.0114 (0.0222) loss_da_image: 0.6624 (0.6547) loss_da_instance: 0.6566 (0.6407) loss_da_consistency: 0.0073 (0.0089) time: 0.8393 (0.8367) data: 0.0625 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:27:15,481 maskrcnn_benchmark.trainer INFO: eta: 14:33:15 iter: 7380 loss: 1.5270 (1.5898) loss_classifier: 0.0693 (0.1070) loss_box_reg: 0.0446 (0.1149) loss_objectness: 0.0196 (0.0415) loss_rpn_box_reg: 0.0178 (0.0222) loss_da_image: 0.6689 (0.6547) loss_da_instance: 0.6617 (0.6407) loss_da_consistency: 0.0067 (0.0089) time: 0.8386 (0.8367) data: 0.0639 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:27:32,291 maskrcnn_benchmark.trainer INFO: eta: 14:32:59 iter: 7400 loss: 1.5305 (1.5898) loss_classifier: 0.0571 (0.1069) loss_box_reg: 0.0829 (0.1148) loss_objectness: 0.0173 (0.0414) loss_rpn_box_reg: 0.0146 (0.0222) loss_da_image: 0.6620 (0.6547) loss_da_instance: 0.6544 (0.6408) loss_da_consistency: 0.0069 (0.0089) time: 0.8401 (0.8367) data: 0.0638 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:27:49,068 maskrcnn_benchmark.trainer INFO: eta: 14:32:43 iter: 7420 loss: 1.4708 (1.5895) loss_classifier: 0.0567 (0.1068) loss_box_reg: 0.0637 (0.1147) loss_objectness: 0.0119 (0.0414) loss_rpn_box_reg: 0.0074 (0.0221) loss_da_image: 0.6694 (0.6548) loss_da_instance: 0.6497 (0.6408) loss_da_consistency: 0.0063 (0.0089) time: 0.8383 (0.8367) data: 0.0629 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:28:05,861 maskrcnn_benchmark.trainer INFO: eta: 14:32:26 iter: 7440 loss: 1.5395 (1.5894) loss_classifier: 0.0781 (0.1068) loss_box_reg: 0.0934 (0.1147) loss_objectness: 0.0210 (0.0413) loss_rpn_box_reg: 0.0167 (0.0221) loss_da_image: 0.6698 (0.6548) loss_da_instance: 0.6564 (0.6408) loss_da_consistency: 0.0080 (0.0089) time: 0.8400 (0.8367) data: 0.0634 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:28:22,615 maskrcnn_benchmark.trainer INFO: eta: 14:32:10 iter: 7460 loss: 1.5094 (1.5893) loss_classifier: 0.0560 (0.1067) loss_box_reg: 0.0635 (0.1146) loss_objectness: 0.0092 (0.0413) loss_rpn_box_reg: 0.0113 (0.0221) loss_da_image: 0.6821 (0.6549) loss_da_instance: 0.6646 (0.6409) loss_da_consistency: 0.0073 (0.0089) time: 0.8372 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:28:39,387 maskrcnn_benchmark.trainer INFO: eta: 14:31:53 iter: 7480 loss: 1.5999 (1.5893) loss_classifier: 0.1016 (0.1067) loss_box_reg: 0.1313 (0.1146) loss_objectness: 0.0243 (0.0412) loss_rpn_box_reg: 0.0142 (0.0221) loss_da_image: 0.6717 (0.6550) loss_da_instance: 0.6576 (0.6409) loss_da_consistency: 0.0077 (0.0089) time: 0.8380 (0.8368) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:28:56,154 maskrcnn_benchmark.trainer INFO: eta: 14:31:37 iter: 7500 loss: 1.4921 (1.5892) loss_classifier: 0.0701 (0.1066) loss_box_reg: 0.0720 (0.1145) loss_objectness: 0.0131 (0.0412) loss_rpn_box_reg: 0.0070 (0.0221) loss_da_image: 0.6656 (0.6550) loss_da_instance: 0.6491 (0.6410) loss_da_consistency: 0.0078 (0.0089) time: 0.8385 (0.8368) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:28:56,157 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0007500.pth
2019-10-25 15:29:13,093 maskrcnn_benchmark.trainer INFO: eta: 14:31:22 iter: 7520 loss: 1.5479 (1.5891) loss_classifier: 0.0919 (0.1066) loss_box_reg: 0.0974 (0.1145) loss_objectness: 0.0172 (0.0411) loss_rpn_box_reg: 0.0119 (0.0221) loss_da_image: 0.6645 (0.6550) loss_da_instance: 0.6453 (0.6410) loss_da_consistency: 0.0082 (0.0089) time: 0.8375 (0.8368) data: 0.0640 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:29:29,823 maskrcnn_benchmark.trainer INFO: eta: 14:31:05 iter: 7540 loss: 1.5450 (1.5891) loss_classifier: 0.0805 (0.1065) loss_box_reg: 0.0645 (0.1145) loss_objectness: 0.0205 (0.0411) loss_rpn_box_reg: 0.0170 (0.0221) loss_da_image: 0.6650 (0.6550) loss_da_instance: 0.6585 (0.6411) loss_da_consistency: 0.0092 (0.0089) time: 0.8382 (0.8368) data: 0.0638 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:29:46,608 maskrcnn_benchmark.trainer INFO: eta: 14:30:49 iter: 7560 loss: 1.4716 (1.5889) loss_classifier: 0.0596 (0.1065) loss_box_reg: 0.0740 (0.1144) loss_objectness: 0.0147 (0.0410) loss_rpn_box_reg: 0.0125 (0.0220) loss_da_image: 0.6425 (0.6550) loss_da_instance: 0.6447 (0.6411) loss_da_consistency: 0.0076 (0.0089) time: 0.8359 (0.8368) data: 0.0638 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:30:03,389 maskrcnn_benchmark.trainer INFO: eta: 14:30:32 iter: 7580 loss: 1.4920 (1.5889) loss_classifier: 0.0751 (0.1064) loss_box_reg: 0.0723 (0.1144) loss_objectness: 0.0151 (0.0410) loss_rpn_box_reg: 0.0158 (0.0220) loss_da_image: 0.6489 (0.6550) loss_da_instance: 0.6559 (0.6411) loss_da_consistency: 0.0070 (0.0089) time: 0.8397 (0.8368) data: 0.0633 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:30:20,169 maskrcnn_benchmark.trainer INFO: eta: 14:30:16 iter: 7600 loss: 1.5612 (1.5889) loss_classifier: 0.0912 (0.1064) loss_box_reg: 0.1126 (0.1144) loss_objectness: 0.0264 (0.0410) loss_rpn_box_reg: 0.0170 (0.0220) loss_da_image: 0.6611 (0.6550) loss_da_instance: 0.6521 (0.6412) loss_da_consistency: 0.0072 (0.0089) time: 0.8385 (0.8368) data: 0.0627 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:30:36,958 maskrcnn_benchmark.trainer INFO: eta: 14:30:00 iter: 7620 loss: 1.5640 (1.5888) loss_classifier: 0.0868 (0.1064) loss_box_reg: 0.0730 (0.1144) loss_objectness: 0.0189 (0.0409) loss_rpn_box_reg: 0.0147 (0.0220) loss_da_image: 0.6661 (0.6550) loss_da_instance: 0.6657 (0.6412) loss_da_consistency: 0.0067 (0.0089) time: 0.8393 (0.8368) data: 0.0631 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:30:53,709 maskrcnn_benchmark.trainer INFO: eta: 14:29:43 iter: 7640 loss: 1.4716 (1.5887) loss_classifier: 0.0693 (0.1063) loss_box_reg: 0.0775 (0.1143) loss_objectness: 0.0198 (0.0409) loss_rpn_box_reg: 0.0120 (0.0220) loss_da_image: 0.6518 (0.6551) loss_da_instance: 0.6584 (0.6413) loss_da_consistency: 0.0064 (0.0089) time: 0.8366 (0.8368) data: 0.0622 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:31:10,502 maskrcnn_benchmark.trainer INFO: eta: 14:29:27 iter: 7660 loss: 1.5359 (1.5886) loss_classifier: 0.0796 (0.1062) loss_box_reg: 0.0801 (0.1142) loss_objectness: 0.0274 (0.0408) loss_rpn_box_reg: 0.0090 (0.0220) loss_da_image: 0.6776 (0.6551) loss_da_instance: 0.6486 (0.6413) loss_da_consistency: 0.0076 (0.0089) time: 0.8387 (0.8368) data: 0.0635 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:31:27,300 maskrcnn_benchmark.trainer INFO: eta: 14:29:11 iter: 7680 loss: 1.5777 (1.5886) loss_classifier: 0.0767 (0.1062) loss_box_reg: 0.0763 (0.1141) loss_objectness: 0.0182 (0.0408) loss_rpn_box_reg: 0.0124 (0.0220) loss_da_image: 0.6675 (0.6552) loss_da_instance: 0.6631 (0.6414) loss_da_consistency: 0.0075 (0.0089) time: 0.8399 (0.8368) data: 0.0646 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:31:44,076 maskrcnn_benchmark.trainer INFO: eta: 14:28:54 iter: 7700 loss: 1.5961 (1.5886) loss_classifier: 0.1065 (0.1063) loss_box_reg: 0.1045 (0.1141) loss_objectness: 0.0308 (0.0408) loss_rpn_box_reg: 0.0173 (0.0220) loss_da_image: 0.6650 (0.6552) loss_da_instance: 0.6573 (0.6414) loss_da_consistency: 0.0072 (0.0089) time: 0.8396 (0.8368) data: 0.0651 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:32:00,836 maskrcnn_benchmark.trainer INFO: eta: 14:28:38 iter: 7720 loss: 1.4846 (1.5885) loss_classifier: 0.0632 (0.1062) loss_box_reg: 0.0514 (0.1140) loss_objectness: 0.0150 (0.0408) loss_rpn_box_reg: 0.0106 (0.0220) loss_da_image: 0.6699 (0.6552) loss_da_instance: 0.6532 (0.6415) loss_da_consistency: 0.0067 (0.0089) time: 0.8379 (0.8368) data: 0.0625 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:32:17,585 maskrcnn_benchmark.trainer INFO: eta: 14:28:21 iter: 7740 loss: 1.5466 (1.5884) loss_classifier: 0.0923 (0.1062) loss_box_reg: 0.0883 (0.1139) loss_objectness: 0.0171 (0.0408) loss_rpn_box_reg: 0.0097 (0.0219) loss_da_image: 0.6581 (0.6553) loss_da_instance: 0.6435 (0.6415) loss_da_consistency: 0.0073 (0.0088) time: 0.8372 (0.8368) data: 0.0640 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:32:34,348 maskrcnn_benchmark.trainer INFO: eta: 14:28:05 iter: 7760 loss: 1.6075 (1.5885) loss_classifier: 0.0879 (0.1062) loss_box_reg: 0.0942 (0.1139) loss_objectness: 0.0195 (0.0407) loss_rpn_box_reg: 0.0172 (0.0220) loss_da_image: 0.6797 (0.6553) loss_da_instance: 0.6715 (0.6416) loss_da_consistency: 0.0068 (0.0088) time: 0.8390 (0.8368) data: 0.0631 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:32:51,070 maskrcnn_benchmark.trainer INFO: eta: 14:27:48 iter: 7780 loss: 1.5845 (1.5885) loss_classifier: 0.0709 (0.1061) loss_box_reg: 0.0920 (0.1139) loss_objectness: 0.0244 (0.0407) loss_rpn_box_reg: 0.0122 (0.0220) loss_da_image: 0.6780 (0.6554) loss_da_instance: 0.6587 (0.6416) loss_da_consistency: 0.0067 (0.0088) time: 0.8372 (0.8368) data: 0.0633 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:33:07,833 maskrcnn_benchmark.trainer INFO: eta: 14:27:31 iter: 7800 loss: 1.4715 (1.5883) loss_classifier: 0.0719 (0.1060) loss_box_reg: 0.0717 (0.1138) loss_objectness: 0.0159 (0.0407) loss_rpn_box_reg: 0.0144 (0.0219) loss_da_image: 0.6490 (0.6554) loss_da_instance: 0.6562 (0.6417) loss_da_consistency: 0.0080 (0.0088) time: 0.8384 (0.8368) data: 0.0631 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:33:24,555 maskrcnn_benchmark.trainer INFO: eta: 14:27:14 iter: 7820 loss: 1.5222 (1.5883) loss_classifier: 0.0732 (0.1060) loss_box_reg: 0.0926 (0.1137) loss_objectness: 0.0134 (0.0406) loss_rpn_box_reg: 0.0107 (0.0219) loss_da_image: 0.6647 (0.6554) loss_da_instance: 0.6757 (0.6418) loss_da_consistency: 0.0066 (0.0088) time: 0.8360 (0.8368) data: 0.0644 (0.0645) lr: 0.001000 max mem: 4018
2019-10-25 15:33:41,243 maskrcnn_benchmark.trainer INFO: eta: 14:26:57 iter: 7840 loss: 1.4727 (1.5881) loss_classifier: 0.0623 (0.1059) loss_box_reg: 0.0764 (0.1137) loss_objectness: 0.0098 (0.0406) loss_rpn_box_reg: 0.0073 (0.0219) loss_da_image: 0.6681 (0.6554) loss_da_instance: 0.6574 (0.6418) loss_da_consistency: 0.0065 (0.0088) time: 0.8331 (0.8368) data: 0.0626 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:33:57,954 maskrcnn_benchmark.trainer INFO: eta: 14:26:40 iter: 7860 loss: 1.5106 (1.5879) loss_classifier: 0.0664 (0.1058) loss_box_reg: 0.0439 (0.1136) loss_objectness: 0.0209 (0.0405) loss_rpn_box_reg: 0.0089 (0.0219) loss_da_image: 0.6714 (0.6555) loss_da_instance: 0.6666 (0.6419) loss_da_consistency: 0.0063 (0.0088) time: 0.8361 (0.8368) data: 0.0623 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:34:14,702 maskrcnn_benchmark.trainer INFO: eta: 14:26:24 iter: 7880 loss: 1.5504 (1.5879) loss_classifier: 0.0703 (0.1057) loss_box_reg: 0.0906 (0.1135) loss_objectness: 0.0178 (0.0405) loss_rpn_box_reg: 0.0152 (0.0219) loss_da_image: 0.6760 (0.6555) loss_da_instance: 0.6739 (0.6419) loss_da_consistency: 0.0062 (0.0088) time: 0.8373 (0.8368) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:34:31,421 maskrcnn_benchmark.trainer INFO: eta: 14:26:07 iter: 7900 loss: 1.4974 (1.5877) loss_classifier: 0.0615 (0.1056) loss_box_reg: 0.0533 (0.1134) loss_objectness: 0.0149 (0.0405) loss_rpn_box_reg: 0.0098 (0.0219) loss_da_image: 0.6735 (0.6556) loss_da_instance: 0.6657 (0.6420) loss_da_consistency: 0.0053 (0.0088) time: 0.8353 (0.8368) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:34:48,171 maskrcnn_benchmark.trainer INFO: eta: 14:25:50 iter: 7920 loss: 1.5717 (1.5878) loss_classifier: 0.0811 (0.1056) loss_box_reg: 0.1023 (0.1134) loss_objectness: 0.0210 (0.0404) loss_rpn_box_reg: 0.0168 (0.0219) loss_da_image: 0.6694 (0.6556) loss_da_instance: 0.6606 (0.6420) loss_da_consistency: 0.0072 (0.0088) time: 0.8378 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:35:04,945 maskrcnn_benchmark.trainer INFO: eta: 14:25:34 iter: 7940 loss: 1.6175 (1.5879) loss_classifier: 0.1076 (0.1057) loss_box_reg: 0.1391 (0.1135) loss_objectness: 0.0254 (0.0404) loss_rpn_box_reg: 0.0201 (0.0219) loss_da_image: 0.6690 (0.6556) loss_da_instance: 0.6444 (0.6421) loss_da_consistency: 0.0075 (0.0088) time: 0.8360 (0.8368) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:35:21,649 maskrcnn_benchmark.trainer INFO: eta: 14:25:17 iter: 7960 loss: 1.5591 (1.5879) loss_classifier: 0.0863 (0.1056) loss_box_reg: 0.0780 (0.1134) loss_objectness: 0.0202 (0.0404) loss_rpn_box_reg: 0.0139 (0.0219) loss_da_image: 0.6739 (0.6557) loss_da_instance: 0.6606 (0.6421) loss_da_consistency: 0.0077 (0.0088) time: 0.8342 (0.8368) data: 0.0636 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:35:38,358 maskrcnn_benchmark.trainer INFO: eta: 14:25:00 iter: 7980 loss: 1.5163 (1.5878) loss_classifier: 0.0632 (0.1056) loss_box_reg: 0.0798 (0.1134) loss_objectness: 0.0173 (0.0404) loss_rpn_box_reg: 0.0150 (0.0219) loss_da_image: 0.6718 (0.6557) loss_da_instance: 0.6602 (0.6422) loss_da_consistency: 0.0063 (0.0088) time: 0.8370 (0.8368) data: 0.0621 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:35:55,065 maskrcnn_benchmark.trainer INFO: eta: 14:24:43 iter: 8000 loss: 1.4736 (1.5877) loss_classifier: 0.0506 (0.1055) loss_box_reg: 0.0655 (0.1133) loss_objectness: 0.0166 (0.0403) loss_rpn_box_reg: 0.0083 (0.0218) loss_da_image: 0.6653 (0.6557) loss_da_instance: 0.6652 (0.6422) loss_da_consistency: 0.0069 (0.0088) time: 0.8353 (0.8368) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:36:11,777 maskrcnn_benchmark.trainer INFO: eta: 14:24:26 iter: 8020 loss: 1.5240 (1.5877) loss_classifier: 0.0679 (0.1055) loss_box_reg: 0.0621 (0.1133) loss_objectness: 0.0135 (0.0403) loss_rpn_box_reg: 0.0112 (0.0218) loss_da_image: 0.6585 (0.6557) loss_da_instance: 0.6601 (0.6422) loss_da_consistency: 0.0060 (0.0088) time: 0.8338 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:36:28,508 maskrcnn_benchmark.trainer INFO: eta: 14:24:09 iter: 8040 loss: 1.5574 (1.5876) loss_classifier: 0.0867 (0.1055) loss_box_reg: 0.0969 (0.1133) loss_objectness: 0.0159 (0.0403) loss_rpn_box_reg: 0.0117 (0.0218) loss_da_image: 0.6710 (0.6558) loss_da_instance: 0.6575 (0.6423) loss_da_consistency: 0.0061 (0.0088) time: 0.8354 (0.8368) data: 0.0614 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:36:45,138 maskrcnn_benchmark.trainer INFO: eta: 14:23:51 iter: 8060 loss: 1.4987 (1.5875) loss_classifier: 0.0846 (0.1054) loss_box_reg: 0.0631 (0.1132) loss_objectness: 0.0178 (0.0402) loss_rpn_box_reg: 0.0082 (0.0218) loss_da_image: 0.6664 (0.6558) loss_da_instance: 0.6589 (0.6423) loss_da_consistency: 0.0063 (0.0088) time: 0.8308 (0.8368) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:37:01,781 maskrcnn_benchmark.trainer INFO: eta: 14:23:34 iter: 8080 loss: 1.5576 (1.5875) loss_classifier: 0.0907 (0.1054) loss_box_reg: 0.0749 (0.1131) loss_objectness: 0.0162 (0.0402) loss_rpn_box_reg: 0.0083 (0.0218) loss_da_image: 0.6734 (0.6559) loss_da_instance: 0.6579 (0.6424) loss_da_consistency: 0.0062 (0.0088) time: 0.8323 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:37:18,435 maskrcnn_benchmark.trainer INFO: eta: 14:23:17 iter: 8100 loss: 1.4772 (1.5873) loss_classifier: 0.0675 (0.1053) loss_box_reg: 0.0587 (0.1130) loss_objectness: 0.0182 (0.0401) loss_rpn_box_reg: 0.0115 (0.0218) loss_da_image: 0.6670 (0.6559) loss_da_instance: 0.6566 (0.6424) loss_da_consistency: 0.0067 (0.0088) time: 0.8325 (0.8368) data: 0.0624 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:37:35,168 maskrcnn_benchmark.trainer INFO: eta: 14:23:00 iter: 8120 loss: 1.5189 (1.5872) loss_classifier: 0.0683 (0.1053) loss_box_reg: 0.0686 (0.1130) loss_objectness: 0.0176 (0.0401) loss_rpn_box_reg: 0.0153 (0.0218) loss_da_image: 0.6674 (0.6559) loss_da_instance: 0.6468 (0.6424) loss_da_consistency: 0.0063 (0.0088) time: 0.8365 (0.8368) data: 0.0628 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:37:51,889 maskrcnn_benchmark.trainer INFO: eta: 14:22:43 iter: 8140 loss: 1.5019 (1.5872) loss_classifier: 0.0731 (0.1052) loss_box_reg: 0.0992 (0.1130) loss_objectness: 0.0097 (0.0400) loss_rpn_box_reg: 0.0109 (0.0218) loss_da_image: 0.6711 (0.6560) loss_da_instance: 0.6489 (0.6425) loss_da_consistency: 0.0074 (0.0087) time: 0.8375 (0.8368) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:38:08,633 maskrcnn_benchmark.trainer INFO: eta: 14:22:26 iter: 8160 loss: 1.5439 (1.5871) loss_classifier: 0.1012 (0.1052) loss_box_reg: 0.0723 (0.1129) loss_objectness: 0.0233 (0.0400) loss_rpn_box_reg: 0.0142 (0.0218) loss_da_image: 0.6718 (0.6560) loss_da_instance: 0.6483 (0.6425) loss_da_consistency: 0.0070 (0.0087) time: 0.8371 (0.8368) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:38:25,426 maskrcnn_benchmark.trainer INFO: eta: 14:22:10 iter: 8180 loss: 1.4900 (1.5871) loss_classifier: 0.0856 (0.1052) loss_box_reg: 0.0625 (0.1128) loss_objectness: 0.0243 (0.0400) loss_rpn_box_reg: 0.0093 (0.0217) loss_da_image: 0.6737 (0.6561) loss_da_instance: 0.6562 (0.6425) loss_da_consistency: 0.0064 (0.0087) time: 0.8400 (0.8368) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:38:42,238 maskrcnn_benchmark.trainer INFO: eta: 14:21:54 iter: 8200 loss: 1.5083 (1.5870) loss_classifier: 0.0729 (0.1051) loss_box_reg: 0.0684 (0.1128) loss_objectness: 0.0139 (0.0399) loss_rpn_box_reg: 0.0097 (0.0217) loss_da_image: 0.6664 (0.6561) loss_da_instance: 0.6606 (0.6426) loss_da_consistency: 0.0072 (0.0087) time: 0.8391 (0.8368) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:38:59,040 maskrcnn_benchmark.trainer INFO: eta: 14:21:38 iter: 8220 loss: 1.5448 (1.5869) loss_classifier: 0.0731 (0.1051) loss_box_reg: 0.0935 (0.1127) loss_objectness: 0.0184 (0.0399) loss_rpn_box_reg: 0.0131 (0.0217) loss_da_image: 0.6550 (0.6561) loss_da_instance: 0.6583 (0.6426) loss_da_consistency: 0.0076 (0.0087) time: 0.8397 (0.8368) data: 0.0649 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:39:15,805 maskrcnn_benchmark.trainer INFO: eta: 14:21:21 iter: 8240 loss: 1.4341 (1.5866) loss_classifier: 0.0502 (0.1050) loss_box_reg: 0.0416 (0.1126) loss_objectness: 0.0138 (0.0398) loss_rpn_box_reg: 0.0095 (0.0217) loss_da_image: 0.6528 (0.6561) loss_da_instance: 0.6499 (0.6426) loss_da_consistency: 0.0069 (0.0087) time: 0.8379 (0.8368) data: 0.0620 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:39:32,606 maskrcnn_benchmark.trainer INFO: eta: 14:21:05 iter: 8260 loss: 1.5092 (1.5865) loss_classifier: 0.0764 (0.1049) loss_box_reg: 0.0641 (0.1126) loss_objectness: 0.0186 (0.0398) loss_rpn_box_reg: 0.0095 (0.0217) loss_da_image: 0.6563 (0.6561) loss_da_instance: 0.6572 (0.6427) loss_da_consistency: 0.0077 (0.0087) time: 0.8399 (0.8368) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:39:49,375 maskrcnn_benchmark.trainer INFO: eta: 14:20:48 iter: 8280 loss: 1.4778 (1.5864) loss_classifier: 0.0533 (0.1049) loss_box_reg: 0.0292 (0.1125) loss_objectness: 0.0157 (0.0398) loss_rpn_box_reg: 0.0080 (0.0217) loss_da_image: 0.6599 (0.6561) loss_da_instance: 0.6624 (0.6427) loss_da_consistency: 0.0067 (0.0087) time: 0.8361 (0.8368) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:40:06,106 maskrcnn_benchmark.trainer INFO: eta: 14:20:32 iter: 8300 loss: 1.4978 (1.5863) loss_classifier: 0.0593 (0.1048) loss_box_reg: 0.0718 (0.1124) loss_objectness: 0.0156 (0.0398) loss_rpn_box_reg: 0.0160 (0.0217) loss_da_image: 0.6541 (0.6561) loss_da_instance: 0.6491 (0.6428) loss_da_consistency: 0.0073 (0.0087) time: 0.8353 (0.8368) data: 0.0617 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:40:22,820 maskrcnn_benchmark.trainer INFO: eta: 14:20:15 iter: 8320 loss: 1.5470 (1.5862) loss_classifier: 0.0629 (0.1048) loss_box_reg: 0.0810 (0.1124) loss_objectness: 0.0140 (0.0397) loss_rpn_box_reg: 0.0174 (0.0217) loss_da_image: 0.6652 (0.6561) loss_da_instance: 0.6543 (0.6428) loss_da_consistency: 0.0066 (0.0087) time: 0.8352 (0.8368) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:40:39,570 maskrcnn_benchmark.trainer INFO: eta: 14:19:58 iter: 8340 loss: 1.4945 (1.5861) loss_classifier: 0.0764 (0.1047) loss_box_reg: 0.0759 (0.1123) loss_objectness: 0.0172 (0.0397) loss_rpn_box_reg: 0.0129 (0.0217) loss_da_image: 0.6607 (0.6561) loss_da_instance: 0.6540 (0.6428) loss_da_consistency: 0.0064 (0.0087) time: 0.8370 (0.8368) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:40:56,292 maskrcnn_benchmark.trainer INFO: eta: 14:19:41 iter: 8360 loss: 1.5186 (1.5860) loss_classifier: 0.0799 (0.1047) loss_box_reg: 0.0756 (0.1123) loss_objectness: 0.0171 (0.0396) loss_rpn_box_reg: 0.0134 (0.0216) loss_da_image: 0.6555 (0.6561) loss_da_instance: 0.6619 (0.6429) loss_da_consistency: 0.0072 (0.0087) time: 0.8351 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:41:13,000 maskrcnn_benchmark.trainer INFO: eta: 14:19:24 iter: 8380 loss: 1.5275 (1.5860) loss_classifier: 0.0875 (0.1047) loss_box_reg: 0.0746 (0.1122) loss_objectness: 0.0201 (0.0396) loss_rpn_box_reg: 0.0101 (0.0216) loss_da_image: 0.6693 (0.6562) loss_da_instance: 0.6663 (0.6429) loss_da_consistency: 0.0065 (0.0087) time: 0.8340 (0.8368) data: 0.0628 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:41:29,730 maskrcnn_benchmark.trainer INFO: eta: 14:19:08 iter: 8400 loss: 1.4711 (1.5858) loss_classifier: 0.0547 (0.1046) loss_box_reg: 0.0533 (0.1122) loss_objectness: 0.0132 (0.0396) loss_rpn_box_reg: 0.0082 (0.0216) loss_da_image: 0.6602 (0.6562) loss_da_instance: 0.6565 (0.6430) loss_da_consistency: 0.0064 (0.0087) time: 0.8356 (0.8368) data: 0.0640 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:41:46,447 maskrcnn_benchmark.trainer INFO: eta: 14:18:51 iter: 8420 loss: 1.5301 (1.5857) loss_classifier: 0.0751 (0.1045) loss_box_reg: 0.0877 (0.1121) loss_objectness: 0.0149 (0.0395) loss_rpn_box_reg: 0.0097 (0.0216) loss_da_image: 0.6707 (0.6562) loss_da_instance: 0.6618 (0.6430) loss_da_consistency: 0.0061 (0.0087) time: 0.8348 (0.8368) data: 0.0640 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:42:03,192 maskrcnn_benchmark.trainer INFO: eta: 14:18:34 iter: 8440 loss: 1.5759 (1.5857) loss_classifier: 0.0730 (0.1045) loss_box_reg: 0.1030 (0.1121) loss_objectness: 0.0138 (0.0395) loss_rpn_box_reg: 0.0154 (0.0216) loss_da_image: 0.6785 (0.6563) loss_da_instance: 0.6479 (0.6430) loss_da_consistency: 0.0066 (0.0087) time: 0.8368 (0.8368) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:42:19,891 maskrcnn_benchmark.trainer INFO: eta: 14:18:17 iter: 8460 loss: 1.5241 (1.5857) loss_classifier: 0.0806 (0.1045) loss_box_reg: 0.0978 (0.1121) loss_objectness: 0.0184 (0.0395) loss_rpn_box_reg: 0.0131 (0.0216) loss_da_image: 0.6647 (0.6563) loss_da_instance: 0.6526 (0.6431) loss_da_consistency: 0.0068 (0.0087) time: 0.8341 (0.8368) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:42:36,643 maskrcnn_benchmark.trainer INFO: eta: 14:18:00 iter: 8480 loss: 1.5015 (1.5856) loss_classifier: 0.0664 (0.1044) loss_box_reg: 0.0638 (0.1121) loss_objectness: 0.0145 (0.0394) loss_rpn_box_reg: 0.0127 (0.0216) loss_da_image: 0.6643 (0.6563) loss_da_instance: 0.6590 (0.6431) loss_da_consistency: 0.0063 (0.0087) time: 0.8370 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:42:53,412 maskrcnn_benchmark.trainer INFO: eta: 14:17:44 iter: 8500 loss: 1.5851 (1.5856) loss_classifier: 0.0999 (0.1044) loss_box_reg: 0.0908 (0.1121) loss_objectness: 0.0187 (0.0394) loss_rpn_box_reg: 0.0164 (0.0215) loss_da_image: 0.6714 (0.6564) loss_da_instance: 0.6477 (0.6431) loss_da_consistency: 0.0069 (0.0087) time: 0.8377 (0.8368) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:43:10,167 maskrcnn_benchmark.trainer INFO: eta: 14:17:27 iter: 8520 loss: 1.4956 (1.5856) loss_classifier: 0.0607 (0.1043) loss_box_reg: 0.0728 (0.1121) loss_objectness: 0.0141 (0.0394) loss_rpn_box_reg: 0.0090 (0.0215) loss_da_image: 0.6746 (0.6564) loss_da_instance: 0.6697 (0.6432) loss_da_consistency: 0.0068 (0.0087) time: 0.8380 (0.8368) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:43:26,866 maskrcnn_benchmark.trainer INFO: eta: 14:17:10 iter: 8540 loss: 1.5133 (1.5855) loss_classifier: 0.0944 (0.1043) loss_box_reg: 0.0793 (0.1120) loss_objectness: 0.0199 (0.0393) loss_rpn_box_reg: 0.0122 (0.0215) loss_da_image: 0.6704 (0.6565) loss_da_instance: 0.6616 (0.6432) loss_da_consistency: 0.0074 (0.0087) time: 0.8334 (0.8368) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:43:43,496 maskrcnn_benchmark.trainer INFO: eta: 14:16:53 iter: 8560 loss: 1.5519 (1.5855) loss_classifier: 0.0726 (0.1043) loss_box_reg: 0.0559 (0.1120) loss_objectness: 0.0277 (0.0393) loss_rpn_box_reg: 0.0157 (0.0215) loss_da_image: 0.6663 (0.6565) loss_da_instance: 0.6702 (0.6433) loss_da_consistency: 0.0072 (0.0087) time: 0.8309 (0.8368) data: 0.0675 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:44:00,198 maskrcnn_benchmark.trainer INFO: eta: 14:16:36 iter: 8580 loss: 1.5810 (1.5854) loss_classifier: 0.0865 (0.1042) loss_box_reg: 0.0993 (0.1119) loss_objectness: 0.0169 (0.0393) loss_rpn_box_reg: 0.0116 (0.0215) loss_da_image: 0.6642 (0.6565) loss_da_instance: 0.6657 (0.6433) loss_da_consistency: 0.0060 (0.0087) time: 0.8340 (0.8368) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:44:16,795 maskrcnn_benchmark.trainer INFO: eta: 14:16:18 iter: 8600 loss: 1.5949 (1.5855) loss_classifier: 0.0942 (0.1042) loss_box_reg: 0.1154 (0.1120) loss_objectness: 0.0238 (0.0392) loss_rpn_box_reg: 0.0134 (0.0215) loss_da_image: 0.6784 (0.6565) loss_da_instance: 0.6527 (0.6434) loss_da_consistency: 0.0068 (0.0086) time: 0.8300 (0.8368) data: 0.0677 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:44:33,532 maskrcnn_benchmark.trainer INFO: eta: 14:16:01 iter: 8620 loss: 1.4815 (1.5854) loss_classifier: 0.0576 (0.1042) loss_box_reg: 0.0612 (0.1119) loss_objectness: 0.0128 (0.0392) loss_rpn_box_reg: 0.0104 (0.0215) loss_da_image: 0.6735 (0.6566) loss_da_instance: 0.6633 (0.6434) loss_da_consistency: 0.0062 (0.0086) time: 0.8373 (0.8368) data: 0.0640 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:44:50,355 maskrcnn_benchmark.trainer INFO: eta: 14:15:45 iter: 8640 loss: 1.5669 (1.5855) loss_classifier: 0.0956 (0.1042) loss_box_reg: 0.0951 (0.1119) loss_objectness: 0.0250 (0.0392) loss_rpn_box_reg: 0.0115 (0.0215) loss_da_image: 0.6715 (0.6566) loss_da_instance: 0.6618 (0.6434) loss_da_consistency: 0.0065 (0.0086) time: 0.8413 (0.8368) data: 0.0645 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:45:07,110 maskrcnn_benchmark.trainer INFO: eta: 14:15:29 iter: 8660 loss: 1.4929 (1.5854) loss_classifier: 0.0679 (0.1042) loss_box_reg: 0.0449 (0.1118) loss_objectness: 0.0255 (0.0392) loss_rpn_box_reg: 0.0104 (0.0215) loss_da_image: 0.6674 (0.6567) loss_da_instance: 0.6646 (0.6435) loss_da_consistency: 0.0051 (0.0086) time: 0.8368 (0.8368) data: 0.0628 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:45:23,873 maskrcnn_benchmark.trainer INFO: eta: 14:15:12 iter: 8680 loss: 1.5341 (1.5854) loss_classifier: 0.0696 (0.1042) loss_box_reg: 0.0858 (0.1118) loss_objectness: 0.0201 (0.0391) loss_rpn_box_reg: 0.0133 (0.0215) loss_da_image: 0.6720 (0.6567) loss_da_instance: 0.6493 (0.6435) loss_da_consistency: 0.0059 (0.0086) time: 0.8384 (0.8368) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:45:40,611 maskrcnn_benchmark.trainer INFO: eta: 14:14:55 iter: 8700 loss: 1.5658 (1.5855) loss_classifier: 0.0958 (0.1042) loss_box_reg: 0.0842 (0.1118) loss_objectness: 0.0152 (0.0391) loss_rpn_box_reg: 0.0100 (0.0214) loss_da_image: 0.6768 (0.6567) loss_da_instance: 0.6612 (0.6436) loss_da_consistency: 0.0073 (0.0086) time: 0.8370 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:45:57,402 maskrcnn_benchmark.trainer INFO: eta: 14:14:39 iter: 8720 loss: 1.5038 (1.5855) loss_classifier: 0.0685 (0.1042) loss_box_reg: 0.0859 (0.1118) loss_objectness: 0.0195 (0.0391) loss_rpn_box_reg: 0.0081 (0.0214) loss_da_image: 0.6734 (0.6568) loss_da_instance: 0.6534 (0.6436) loss_da_consistency: 0.0066 (0.0086) time: 0.8388 (0.8368) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:46:14,169 maskrcnn_benchmark.trainer INFO: eta: 14:14:22 iter: 8740 loss: 1.5803 (1.5855) loss_classifier: 0.0794 (0.1041) loss_box_reg: 0.1321 (0.1118) loss_objectness: 0.0166 (0.0391) loss_rpn_box_reg: 0.0129 (0.0214) loss_da_image: 0.6717 (0.6568) loss_da_instance: 0.6530 (0.6436) loss_da_consistency: 0.0065 (0.0086) time: 0.8383 (0.8368) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:46:30,982 maskrcnn_benchmark.trainer INFO: eta: 14:14:06 iter: 8760 loss: 1.5266 (1.5854) loss_classifier: 0.0831 (0.1041) loss_box_reg: 0.0795 (0.1118) loss_objectness: 0.0130 (0.0390) loss_rpn_box_reg: 0.0129 (0.0214) loss_da_image: 0.6561 (0.6568) loss_da_instance: 0.6539 (0.6437) loss_da_consistency: 0.0069 (0.0086) time: 0.8419 (0.8368) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:46:47,743 maskrcnn_benchmark.trainer INFO: eta: 14:13:50 iter: 8780 loss: 1.4830 (1.5852) loss_classifier: 0.0655 (0.1040) loss_box_reg: 0.0699 (0.1117) loss_objectness: 0.0117 (0.0390) loss_rpn_box_reg: 0.0066 (0.0214) loss_da_image: 0.6692 (0.6569) loss_da_instance: 0.6564 (0.6437) loss_da_consistency: 0.0064 (0.0086) time: 0.8391 (0.8368) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:47:04,510 maskrcnn_benchmark.trainer INFO: eta: 14:13:33 iter: 8800 loss: 1.5723 (1.5852) loss_classifier: 0.0882 (0.1040) loss_box_reg: 0.0990 (0.1117) loss_objectness: 0.0148 (0.0389) loss_rpn_box_reg: 0.0118 (0.0214) loss_da_image: 0.6642 (0.6569) loss_da_instance: 0.6492 (0.6437) loss_da_consistency: 0.0068 (0.0086) time: 0.8368 (0.8368) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:47:21,269 maskrcnn_benchmark.trainer INFO: eta: 14:13:17 iter: 8820 loss: 1.5350 (1.5851) loss_classifier: 0.0843 (0.1039) loss_box_reg: 0.0865 (0.1116) loss_objectness: 0.0226 (0.0389) loss_rpn_box_reg: 0.0096 (0.0214) loss_da_image: 0.6618 (0.6569) loss_da_instance: 0.6461 (0.6437) loss_da_consistency: 0.0068 (0.0086) time: 0.8381 (0.8368) data: 0.0644 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:47:38,014 maskrcnn_benchmark.trainer INFO: eta: 14:13:00 iter: 8840 loss: 1.5016 (1.5851) loss_classifier: 0.0790 (0.1039) loss_box_reg: 0.0676 (0.1116) loss_objectness: 0.0147 (0.0389) loss_rpn_box_reg: 0.0057 (0.0214) loss_da_image: 0.6726 (0.6569) loss_da_instance: 0.6495 (0.6438) loss_da_consistency: 0.0069 (0.0086) time: 0.8372 (0.8368) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:47:54,732 maskrcnn_benchmark.trainer INFO: eta: 14:12:43 iter: 8860 loss: 1.5906 (1.5851) loss_classifier: 0.1060 (0.1039) loss_box_reg: 0.0780 (0.1116) loss_objectness: 0.0258 (0.0389) loss_rpn_box_reg: 0.0153 (0.0214) loss_da_image: 0.6677 (0.6570) loss_da_instance: 0.6612 (0.6438) loss_da_consistency: 0.0073 (0.0086) time: 0.8354 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:48:11,456 maskrcnn_benchmark.trainer INFO: eta: 14:12:26 iter: 8880 loss: 1.5441 (1.5851) loss_classifier: 0.0766 (0.1039) loss_box_reg: 0.0818 (0.1116) loss_objectness: 0.0180 (0.0388) loss_rpn_box_reg: 0.0143 (0.0214) loss_da_image: 0.6556 (0.6570) loss_da_instance: 0.6662 (0.6438) loss_da_consistency: 0.0064 (0.0086) time: 0.8354 (0.8368) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:48:28,196 maskrcnn_benchmark.trainer INFO: eta: 14:12:10 iter: 8900 loss: 1.4734 (1.5850) loss_classifier: 0.0648 (0.1039) loss_box_reg: 0.0402 (0.1115) loss_objectness: 0.0234 (0.0388) loss_rpn_box_reg: 0.0072 (0.0214) loss_da_image: 0.6380 (0.6569) loss_da_instance: 0.6663 (0.6439) loss_da_consistency: 0.0069 (0.0086) time: 0.8374 (0.8368) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:48:44,914 maskrcnn_benchmark.trainer INFO: eta: 14:11:53 iter: 8920 loss: 1.5157 (1.5849) loss_classifier: 0.0934 (0.1039) loss_box_reg: 0.0778 (0.1114) loss_objectness: 0.0236 (0.0388) loss_rpn_box_reg: 0.0185 (0.0213) loss_da_image: 0.6405 (0.6569) loss_da_instance: 0.6579 (0.6439) loss_da_consistency: 0.0077 (0.0086) time: 0.8356 (0.8368) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:49:01,653 maskrcnn_benchmark.trainer INFO: eta: 14:11:36 iter: 8940 loss: 1.4990 (1.5848) loss_classifier: 0.0906 (0.1039) loss_box_reg: 0.0817 (0.1114) loss_objectness: 0.0150 (0.0388) loss_rpn_box_reg: 0.0130 (0.0213) loss_da_image: 0.6479 (0.6569) loss_da_instance: 0.6496 (0.6439) loss_da_consistency: 0.0072 (0.0086) time: 0.8367 (0.8368) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:49:18,380 maskrcnn_benchmark.trainer INFO: eta: 14:11:19 iter: 8960 loss: 1.5036 (1.5847) loss_classifier: 0.0450 (0.1038) loss_box_reg: 0.0743 (0.1114) loss_objectness: 0.0155 (0.0387) loss_rpn_box_reg: 0.0120 (0.0213) loss_da_image: 0.6643 (0.6569) loss_da_instance: 0.6596 (0.6440) loss_da_consistency: 0.0076 (0.0086) time: 0.8362 (0.8368) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:49:35,013 maskrcnn_benchmark.trainer INFO: eta: 14:11:02 iter: 8980 loss: 1.4523 (1.5844) loss_classifier: 0.0489 (0.1037) loss_box_reg: 0.0487 (0.1113) loss_objectness: 0.0126 (0.0387) loss_rpn_box_reg: 0.0113 (0.0213) loss_da_image: 0.6661 (0.6569) loss_da_instance: 0.6547 (0.6440) loss_da_consistency: 0.0077 (0.0086) time: 0.8310 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:49:51,622 maskrcnn_benchmark.trainer INFO: eta: 14:10:44 iter: 9000 loss: 1.4673 (1.5842) loss_classifier: 0.0530 (0.1036) loss_box_reg: 0.0691 (0.1112) loss_objectness: 0.0199 (0.0386) loss_rpn_box_reg: 0.0114 (0.0213) loss_da_image: 0.6649 (0.6569) loss_da_instance: 0.6521 (0.6440) loss_da_consistency: 0.0065 (0.0086) time: 0.8311 (0.8368) data: 0.0681 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:50:08,194 maskrcnn_benchmark.trainer INFO: eta: 14:10:26 iter: 9020 loss: 1.5430 (1.5842) loss_classifier: 0.0930 (0.1036) loss_box_reg: 0.1012 (0.1112) loss_objectness: 0.0211 (0.0386) loss_rpn_box_reg: 0.0142 (0.0213) loss_da_image: 0.6602 (0.6570) loss_da_instance: 0.6620 (0.6440) loss_da_consistency: 0.0081 (0.0086) time: 0.8277 (0.8368) data: 0.0678 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:50:24,834 maskrcnn_benchmark.trainer INFO: eta: 14:10:09 iter: 9040 loss: 1.4649 (1.5841) loss_classifier: 0.0606 (0.1035) loss_box_reg: 0.0586 (0.1111) loss_objectness: 0.0114 (0.0386) loss_rpn_box_reg: 0.0063 (0.0213) loss_da_image: 0.6612 (0.6570) loss_da_instance: 0.6668 (0.6441) loss_da_consistency: 0.0065 (0.0086) time: 0.8305 (0.8368) data: 0.0679 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:50:41,475 maskrcnn_benchmark.trainer INFO: eta: 14:09:51 iter: 9060 loss: 1.5502 (1.5841) loss_classifier: 0.0845 (0.1035) loss_box_reg: 0.1093 (0.1111) loss_objectness: 0.0160 (0.0385) loss_rpn_box_reg: 0.0065 (0.0213) loss_da_image: 0.6692 (0.6570) loss_da_instance: 0.6642 (0.6441) loss_da_consistency: 0.0059 (0.0086) time: 0.8310 (0.8368) data: 0.0675 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:50:58,201 maskrcnn_benchmark.trainer INFO: eta: 14:09:35 iter: 9080 loss: 1.5662 (1.5841) loss_classifier: 0.0781 (0.1035) loss_box_reg: 0.1016 (0.1111) loss_objectness: 0.0217 (0.0385) loss_rpn_box_reg: 0.0140 (0.0213) loss_da_image: 0.6651 (0.6570) loss_da_instance: 0.6503 (0.6442) loss_da_consistency: 0.0068 (0.0086) time: 0.8346 (0.8368) data: 0.0623 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:51:14,901 maskrcnn_benchmark.trainer INFO: eta: 14:09:18 iter: 9100 loss: 1.5459 (1.5840) loss_classifier: 0.0742 (0.1034) loss_box_reg: 0.0907 (0.1111) loss_objectness: 0.0146 (0.0385) loss_rpn_box_reg: 0.0115 (0.0212) loss_da_image: 0.6719 (0.6571) loss_da_instance: 0.6702 (0.6442) loss_da_consistency: 0.0068 (0.0086) time: 0.8359 (0.8368) data: 0.0644 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:51:31,571 maskrcnn_benchmark.trainer INFO: eta: 14:09:01 iter: 9120 loss: 1.4683 (1.5839) loss_classifier: 0.0491 (0.1034) loss_box_reg: 0.0535 (0.1110) loss_objectness: 0.0083 (0.0384) loss_rpn_box_reg: 0.0081 (0.0212) loss_da_image: 0.6732 (0.6571) loss_da_instance: 0.6687 (0.6443) loss_da_consistency: 0.0065 (0.0085) time: 0.8339 (0.8367) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:51:48,259 maskrcnn_benchmark.trainer INFO: eta: 14:08:44 iter: 9140 loss: 1.5172 (1.5838) loss_classifier: 0.0712 (0.1033) loss_box_reg: 0.0702 (0.1109) loss_objectness: 0.0158 (0.0384) loss_rpn_box_reg: 0.0106 (0.0212) loss_da_image: 0.6756 (0.6571) loss_da_instance: 0.6517 (0.6443) loss_da_consistency: 0.0074 (0.0085) time: 0.8337 (0.8367) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:52:04,909 maskrcnn_benchmark.trainer INFO: eta: 14:08:26 iter: 9160 loss: 1.5153 (1.5837) loss_classifier: 0.0677 (0.1032) loss_box_reg: 0.0649 (0.1109) loss_objectness: 0.0149 (0.0383) loss_rpn_box_reg: 0.0092 (0.0212) loss_da_image: 0.6749 (0.6572) loss_da_instance: 0.6684 (0.6443) loss_da_consistency: 0.0061 (0.0085) time: 0.8328 (0.8367) data: 0.0624 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:52:21,584 maskrcnn_benchmark.trainer INFO: eta: 14:08:09 iter: 9180 loss: 1.5219 (1.5837) loss_classifier: 0.0767 (0.1032) loss_box_reg: 0.0650 (0.1109) loss_objectness: 0.0192 (0.0383) loss_rpn_box_reg: 0.0107 (0.0212) loss_da_image: 0.6715 (0.6572) loss_da_instance: 0.6578 (0.6444) loss_da_consistency: 0.0066 (0.0085) time: 0.8335 (0.8367) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:52:38,276 maskrcnn_benchmark.trainer INFO: eta: 14:07:52 iter: 9200 loss: 1.4955 (1.5836) loss_classifier: 0.0638 (0.1032) loss_box_reg: 0.0889 (0.1109) loss_objectness: 0.0159 (0.0383) loss_rpn_box_reg: 0.0126 (0.0212) loss_da_image: 0.6761 (0.6572) loss_da_instance: 0.6571 (0.6444) loss_da_consistency: 0.0064 (0.0085) time: 0.8351 (0.8367) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:52:54,943 maskrcnn_benchmark.trainer INFO: eta: 14:07:35 iter: 9220 loss: 1.4688 (1.5835) loss_classifier: 0.0474 (0.1031) loss_box_reg: 0.0464 (0.1108) loss_objectness: 0.0152 (0.0382) loss_rpn_box_reg: 0.0090 (0.0212) loss_da_image: 0.6758 (0.6573) loss_da_instance: 0.6589 (0.6444) loss_da_consistency: 0.0063 (0.0085) time: 0.8329 (0.8367) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:53:11,633 maskrcnn_benchmark.trainer INFO: eta: 14:07:18 iter: 9240 loss: 1.5550 (1.5834) loss_classifier: 0.0843 (0.1031) loss_box_reg: 0.1006 (0.1108) loss_objectness: 0.0112 (0.0382) loss_rpn_box_reg: 0.0060 (0.0211) loss_da_image: 0.6614 (0.6573) loss_da_instance: 0.6661 (0.6445) loss_da_consistency: 0.0063 (0.0085) time: 0.8336 (0.8367) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:53:28,380 maskrcnn_benchmark.trainer INFO: eta: 14:07:01 iter: 9260 loss: 1.6181 (1.5835) loss_classifier: 0.1148 (0.1031) loss_box_reg: 0.1169 (0.1108) loss_objectness: 0.0219 (0.0382) loss_rpn_box_reg: 0.0118 (0.0211) loss_da_image: 0.6536 (0.6573) loss_da_instance: 0.6502 (0.6445) loss_da_consistency: 0.0076 (0.0085) time: 0.8371 (0.8367) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:53:45,109 maskrcnn_benchmark.trainer INFO: eta: 14:06:44 iter: 9280 loss: 1.5001 (1.5835) loss_classifier: 0.0509 (0.1031) loss_box_reg: 0.0712 (0.1108) loss_objectness: 0.0212 (0.0381) loss_rpn_box_reg: 0.0081 (0.0211) loss_da_image: 0.6674 (0.6573) loss_da_instance: 0.6610 (0.6445) loss_da_consistency: 0.0067 (0.0085) time: 0.8372 (0.8367) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:54:01,873 maskrcnn_benchmark.trainer INFO: eta: 14:06:28 iter: 9300 loss: 1.5152 (1.5835) loss_classifier: 0.0957 (0.1030) loss_box_reg: 0.0697 (0.1109) loss_objectness: 0.0179 (0.0381) loss_rpn_box_reg: 0.0122 (0.0211) loss_da_image: 0.6530 (0.6573) loss_da_instance: 0.6589 (0.6446) loss_da_consistency: 0.0065 (0.0085) time: 0.8386 (0.8367) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:54:18,607 maskrcnn_benchmark.trainer INFO: eta: 14:06:11 iter: 9320 loss: 1.4854 (1.5833) loss_classifier: 0.0581 (0.1030) loss_box_reg: 0.0812 (0.1108) loss_objectness: 0.0188 (0.0381) loss_rpn_box_reg: 0.0100 (0.0211) loss_da_image: 0.6566 (0.6573) loss_da_instance: 0.6677 (0.6446) loss_da_consistency: 0.0066 (0.0085) time: 0.8377 (0.8367) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:54:35,345 maskrcnn_benchmark.trainer INFO: eta: 14:05:54 iter: 9340 loss: 1.5495 (1.5833) loss_classifier: 0.0812 (0.1030) loss_box_reg: 0.0936 (0.1108) loss_objectness: 0.0226 (0.0380) loss_rpn_box_reg: 0.0128 (0.0211) loss_da_image: 0.6591 (0.6573) loss_da_instance: 0.6445 (0.6446) loss_da_consistency: 0.0067 (0.0085) time: 0.8358 (0.8367) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:54:52,058 maskrcnn_benchmark.trainer INFO: eta: 14:05:38 iter: 9360 loss: 1.4834 (1.5832) loss_classifier: 0.0758 (0.1029) loss_box_reg: 0.0695 (0.1107) loss_objectness: 0.0155 (0.0380) loss_rpn_box_reg: 0.0114 (0.0211) loss_da_image: 0.6674 (0.6573) loss_da_instance: 0.6496 (0.6446) loss_da_consistency: 0.0063 (0.0085) time: 0.8348 (0.8367) data: 0.0647 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:55:08,748 maskrcnn_benchmark.trainer INFO: eta: 14:05:21 iter: 9380 loss: 1.5130 (1.5830) loss_classifier: 0.0656 (0.1029) loss_box_reg: 0.0752 (0.1107) loss_objectness: 0.0115 (0.0380) loss_rpn_box_reg: 0.0117 (0.0210) loss_da_image: 0.6649 (0.6574) loss_da_instance: 0.6655 (0.6447) loss_da_consistency: 0.0059 (0.0085) time: 0.8335 (0.8367) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:55:25,508 maskrcnn_benchmark.trainer INFO: eta: 14:05:04 iter: 9400 loss: 1.5275 (1.5830) loss_classifier: 0.0699 (0.1028) loss_box_reg: 0.0998 (0.1107) loss_objectness: 0.0162 (0.0379) loss_rpn_box_reg: 0.0070 (0.0210) loss_da_image: 0.6703 (0.6574) loss_da_instance: 0.6672 (0.6447) loss_da_consistency: 0.0072 (0.0085) time: 0.8360 (0.8367) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:55:42,222 maskrcnn_benchmark.trainer INFO: eta: 14:04:47 iter: 9420 loss: 1.4577 (1.5829) loss_classifier: 0.0514 (0.1027) loss_box_reg: 0.0554 (0.1106) loss_objectness: 0.0063 (0.0379) loss_rpn_box_reg: 0.0094 (0.0210) loss_da_image: 0.6651 (0.6574) loss_da_instance: 0.6432 (0.6447) loss_da_consistency: 0.0067 (0.0085) time: 0.8361 (0.8367) data: 0.0626 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:55:58,990 maskrcnn_benchmark.trainer INFO: eta: 14:04:31 iter: 9440 loss: 1.4839 (1.5827) loss_classifier: 0.0603 (0.1027) loss_box_reg: 0.0693 (0.1105) loss_objectness: 0.0144 (0.0378) loss_rpn_box_reg: 0.0122 (0.0210) loss_da_image: 0.6783 (0.6574) loss_da_instance: 0.6553 (0.6448) loss_da_consistency: 0.0066 (0.0085) time: 0.8385 (0.8367) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:56:15,726 maskrcnn_benchmark.trainer INFO: eta: 14:04:14 iter: 9460 loss: 1.4742 (1.5826) loss_classifier: 0.0583 (0.1026) loss_box_reg: 0.0660 (0.1105) loss_objectness: 0.0101 (0.0378) loss_rpn_box_reg: 0.0055 (0.0210) loss_da_image: 0.6672 (0.6575) loss_da_instance: 0.6634 (0.6448) loss_da_consistency: 0.0068 (0.0085) time: 0.8345 (0.8367) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:56:32,520 maskrcnn_benchmark.trainer INFO: eta: 14:03:58 iter: 9480 loss: 1.5361 (1.5825) loss_classifier: 0.0619 (0.1026) loss_box_reg: 0.0758 (0.1104) loss_objectness: 0.0193 (0.0378) loss_rpn_box_reg: 0.0117 (0.0210) loss_da_image: 0.6713 (0.6575) loss_da_instance: 0.6580 (0.6448) loss_da_consistency: 0.0061 (0.0085) time: 0.8388 (0.8367) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:56:49,307 maskrcnn_benchmark.trainer INFO: eta: 14:03:41 iter: 9500 loss: 1.4692 (1.5824) loss_classifier: 0.0480 (0.1025) loss_box_reg: 0.0666 (0.1104) loss_objectness: 0.0104 (0.0377) loss_rpn_box_reg: 0.0043 (0.0209) loss_da_image: 0.6750 (0.6575) loss_da_instance: 0.6544 (0.6449) loss_da_consistency: 0.0063 (0.0085) time: 0.8383 (0.8367) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:57:06,065 maskrcnn_benchmark.trainer INFO: eta: 14:03:25 iter: 9520 loss: 1.5112 (1.5823) loss_classifier: 0.0580 (0.1025) loss_box_reg: 0.0648 (0.1103) loss_objectness: 0.0152 (0.0377) loss_rpn_box_reg: 0.0110 (0.0209) loss_da_image: 0.6719 (0.6576) loss_da_instance: 0.6596 (0.6449) loss_da_consistency: 0.0064 (0.0085) time: 0.8385 (0.8367) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:57:22,820 maskrcnn_benchmark.trainer INFO: eta: 14:03:08 iter: 9540 loss: 1.5350 (1.5822) loss_classifier: 0.0728 (0.1024) loss_box_reg: 0.0686 (0.1103) loss_objectness: 0.0113 (0.0376) loss_rpn_box_reg: 0.0131 (0.0209) loss_da_image: 0.6693 (0.6576) loss_da_instance: 0.6569 (0.6449) loss_da_consistency: 0.0062 (0.0085) time: 0.8374 (0.8367) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:57:39,557 maskrcnn_benchmark.trainer INFO: eta: 14:02:51 iter: 9560 loss: 1.5763 (1.5822) loss_classifier: 0.0925 (0.1024) loss_box_reg: 0.0822 (0.1102) loss_objectness: 0.0185 (0.0376) loss_rpn_box_reg: 0.0124 (0.0209) loss_da_image: 0.6772 (0.6576) loss_da_instance: 0.6720 (0.6450) loss_da_consistency: 0.0066 (0.0085) time: 0.8367 (0.8367) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:57:56,307 maskrcnn_benchmark.trainer INFO: eta: 14:02:35 iter: 9580 loss: 1.5522 (1.5822) loss_classifier: 0.0756 (0.1024) loss_box_reg: 0.0833 (0.1102) loss_objectness: 0.0204 (0.0376) loss_rpn_box_reg: 0.0092 (0.0209) loss_da_image: 0.6682 (0.6577) loss_da_instance: 0.6523 (0.6450) loss_da_consistency: 0.0074 (0.0085) time: 0.8378 (0.8367) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:58:13,034 maskrcnn_benchmark.trainer INFO: eta: 14:02:18 iter: 9600 loss: 1.5169 (1.5821) loss_classifier: 0.0719 (0.1023) loss_box_reg: 0.0851 (0.1102) loss_objectness: 0.0225 (0.0376) loss_rpn_box_reg: 0.0096 (0.0209) loss_da_image: 0.6544 (0.6577) loss_da_instance: 0.6608 (0.6450) loss_da_consistency: 0.0068 (0.0085) time: 0.8370 (0.8367) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:58:29,786 maskrcnn_benchmark.trainer INFO: eta: 14:02:01 iter: 9620 loss: 1.5079 (1.5821) loss_classifier: 0.0822 (0.1023) loss_box_reg: 0.0938 (0.1102) loss_objectness: 0.0174 (0.0376) loss_rpn_box_reg: 0.0080 (0.0209) loss_da_image: 0.6548 (0.6577) loss_da_instance: 0.6601 (0.6451) loss_da_consistency: 0.0069 (0.0085) time: 0.8376 (0.8367) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:58:46,507 maskrcnn_benchmark.trainer INFO: eta: 14:01:44 iter: 9640 loss: 1.4830 (1.5820) loss_classifier: 0.0694 (0.1023) loss_box_reg: 0.0642 (0.1101) loss_objectness: 0.0211 (0.0376) loss_rpn_box_reg: 0.0116 (0.0208) loss_da_image: 0.6516 (0.6577) loss_da_instance: 0.6565 (0.6451) loss_da_consistency: 0.0062 (0.0085) time: 0.8356 (0.8367) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:59:03,245 maskrcnn_benchmark.trainer INFO: eta: 14:01:28 iter: 9660 loss: 1.5575 (1.5820) loss_classifier: 0.0875 (0.1023) loss_box_reg: 0.1191 (0.1102) loss_objectness: 0.0172 (0.0375) loss_rpn_box_reg: 0.0131 (0.0208) loss_da_image: 0.6583 (0.6577) loss_da_instance: 0.6484 (0.6451) loss_da_consistency: 0.0066 (0.0084) time: 0.8366 (0.8367) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:59:20,007 maskrcnn_benchmark.trainer INFO: eta: 14:01:11 iter: 9680 loss: 1.5856 (1.5821) loss_classifier: 0.0922 (0.1023) loss_box_reg: 0.0911 (0.1101) loss_objectness: 0.0254 (0.0375) loss_rpn_box_reg: 0.0161 (0.0208) loss_da_image: 0.6669 (0.6577) loss_da_instance: 0.6593 (0.6451) loss_da_consistency: 0.0061 (0.0084) time: 0.8391 (0.8367) data: 0.0651 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:59:36,737 maskrcnn_benchmark.trainer INFO: eta: 14:00:54 iter: 9700 loss: 1.5257 (1.5820) loss_classifier: 0.0727 (0.1022) loss_box_reg: 0.0953 (0.1101) loss_objectness: 0.0092 (0.0375) loss_rpn_box_reg: 0.0068 (0.0208) loss_da_image: 0.6564 (0.6577) loss_da_instance: 0.6496 (0.6452) loss_da_consistency: 0.0066 (0.0084) time: 0.8365 (0.8367) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 15:59:53,449 maskrcnn_benchmark.trainer INFO: eta: 14:00:37 iter: 9720 loss: 1.5095 (1.5819) loss_classifier: 0.0531 (0.1022) loss_box_reg: 0.0684 (0.1101) loss_objectness: 0.0133 (0.0375) loss_rpn_box_reg: 0.0083 (0.0208) loss_da_image: 0.6641 (0.6577) loss_da_instance: 0.6653 (0.6452) loss_da_consistency: 0.0053 (0.0084) time: 0.8354 (0.8367) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:00:10,187 maskrcnn_benchmark.trainer INFO: eta: 14:00:21 iter: 9740 loss: 1.4803 (1.5818) loss_classifier: 0.0607 (0.1022) loss_box_reg: 0.0562 (0.1100) loss_objectness: 0.0082 (0.0374) loss_rpn_box_reg: 0.0083 (0.0208) loss_da_image: 0.6642 (0.6577) loss_da_instance: 0.6506 (0.6452) loss_da_consistency: 0.0063 (0.0084) time: 0.8365 (0.8367) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:00:26,891 maskrcnn_benchmark.trainer INFO: eta: 14:00:04 iter: 9760 loss: 1.5038 (1.5817) loss_classifier: 0.0822 (0.1021) loss_box_reg: 0.0695 (0.1100) loss_objectness: 0.0198 (0.0374) loss_rpn_box_reg: 0.0076 (0.0208) loss_da_image: 0.6720 (0.6577) loss_da_instance: 0.6495 (0.6452) loss_da_consistency: 0.0063 (0.0084) time: 0.8350 (0.8367) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:00:43,595 maskrcnn_benchmark.trainer INFO: eta: 13:59:47 iter: 9780 loss: 1.5273 (1.5816) loss_classifier: 0.0782 (0.1021) loss_box_reg: 0.0803 (0.1099) loss_objectness: 0.0151 (0.0374) loss_rpn_box_reg: 0.0105 (0.0208) loss_da_image: 0.6643 (0.6578) loss_da_instance: 0.6488 (0.6453) loss_da_consistency: 0.0071 (0.0084) time: 0.8363 (0.8367) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:01:00,306 maskrcnn_benchmark.trainer INFO: eta: 13:59:30 iter: 9800 loss: 1.4818 (1.5815) loss_classifier: 0.0606 (0.1020) loss_box_reg: 0.0466 (0.1099) loss_objectness: 0.0159 (0.0373) loss_rpn_box_reg: 0.0093 (0.0208) loss_da_image: 0.6753 (0.6578) loss_da_instance: 0.6645 (0.6453) loss_da_consistency: 0.0068 (0.0084) time: 0.8361 (0.8367) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:01:17,004 maskrcnn_benchmark.trainer INFO: eta: 13:59:13 iter: 9820 loss: 1.5183 (1.5815) loss_classifier: 0.0731 (0.1020) loss_box_reg: 0.0759 (0.1099) loss_objectness: 0.0125 (0.0373) loss_rpn_box_reg: 0.0124 (0.0207) loss_da_image: 0.6738 (0.6578) loss_da_instance: 0.6477 (0.6453) loss_da_consistency: 0.0062 (0.0084) time: 0.8346 (0.8367) data: 0.0646 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:01:33,776 maskrcnn_benchmark.trainer INFO: eta: 13:58:57 iter: 9840 loss: 1.5305 (1.5814) loss_classifier: 0.0571 (0.1019) loss_box_reg: 0.0848 (0.1098) loss_objectness: 0.0134 (0.0373) loss_rpn_box_reg: 0.0100 (0.0207) loss_da_image: 0.6780 (0.6579) loss_da_instance: 0.6546 (0.6454) loss_da_consistency: 0.0071 (0.0084) time: 0.8381 (0.8367) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:01:50,527 maskrcnn_benchmark.trainer INFO: eta: 13:58:40 iter: 9860 loss: 1.6219 (1.5815) loss_classifier: 0.1143 (0.1020) loss_box_reg: 0.1247 (0.1099) loss_objectness: 0.0239 (0.0372) loss_rpn_box_reg: 0.0115 (0.0207) loss_da_image: 0.6678 (0.6579) loss_da_instance: 0.6635 (0.6454) loss_da_consistency: 0.0073 (0.0084) time: 0.8365 (0.8367) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:02:07,233 maskrcnn_benchmark.trainer INFO: eta: 13:58:23 iter: 9880 loss: 1.5315 (1.5814) loss_classifier: 0.0727 (0.1019) loss_box_reg: 0.0844 (0.1098) loss_objectness: 0.0140 (0.0372) loss_rpn_box_reg: 0.0082 (0.0207) loss_da_image: 0.6670 (0.6579) loss_da_instance: 0.6637 (0.6454) loss_da_consistency: 0.0063 (0.0084) time: 0.8327 (0.8367) data: 0.0626 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:02:23,945 maskrcnn_benchmark.trainer INFO: eta: 13:58:06 iter: 9900 loss: 1.5850 (1.5814) loss_classifier: 0.0759 (0.1019) loss_box_reg: 0.0936 (0.1098) loss_objectness: 0.0196 (0.0372) loss_rpn_box_reg: 0.0117 (0.0207) loss_da_image: 0.6746 (0.6580) loss_da_instance: 0.6644 (0.6455) loss_da_consistency: 0.0070 (0.0084) time: 0.8349 (0.8367) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:02:40,626 maskrcnn_benchmark.trainer INFO: eta: 13:57:49 iter: 9920 loss: 1.5075 (1.5813) loss_classifier: 0.0735 (0.1018) loss_box_reg: 0.0621 (0.1097) loss_objectness: 0.0119 (0.0372) loss_rpn_box_reg: 0.0069 (0.0207) loss_da_image: 0.6759 (0.6580) loss_da_instance: 0.6597 (0.6455) loss_da_consistency: 0.0069 (0.0084) time: 0.8339 (0.8367) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:02:57,329 maskrcnn_benchmark.trainer INFO: eta: 13:57:32 iter: 9940 loss: 1.5240 (1.5812) loss_classifier: 0.0742 (0.1018) loss_box_reg: 0.0472 (0.1097) loss_objectness: 0.0123 (0.0371) loss_rpn_box_reg: 0.0103 (0.0207) loss_da_image: 0.6758 (0.6580) loss_da_instance: 0.6621 (0.6455) loss_da_consistency: 0.0057 (0.0084) time: 0.8355 (0.8367) data: 0.0636 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:03:14,064 maskrcnn_benchmark.trainer INFO: eta: 13:57:15 iter: 9960 loss: 1.5652 (1.5812) loss_classifier: 0.0814 (0.1018) loss_box_reg: 0.0776 (0.1096) loss_objectness: 0.0164 (0.0371) loss_rpn_box_reg: 0.0132 (0.0207) loss_da_image: 0.6753 (0.6581) loss_da_instance: 0.6599 (0.6456) loss_da_consistency: 0.0073 (0.0084) time: 0.8376 (0.8367) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:03:30,840 maskrcnn_benchmark.trainer INFO: eta: 13:56:59 iter: 9980 loss: 1.5324 (1.5811) loss_classifier: 0.0745 (0.1017) loss_box_reg: 0.0767 (0.1096) loss_objectness: 0.0180 (0.0371) loss_rpn_box_reg: 0.0091 (0.0207) loss_da_image: 0.6633 (0.6581) loss_da_instance: 0.6619 (0.6456) loss_da_consistency: 0.0074 (0.0084) time: 0.8370 (0.8367) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:03:47,634 maskrcnn_benchmark.trainer INFO: eta: 13:56:43 iter: 10000 loss: 1.5097 (1.5809) loss_classifier: 0.0695 (0.1016) loss_box_reg: 0.0670 (0.1095) loss_objectness: 0.0196 (0.0370) loss_rpn_box_reg: 0.0128 (0.0207) loss_da_image: 0.6516 (0.6581) loss_da_instance: 0.6591 (0.6456) loss_da_consistency: 0.0065 (0.0084) time: 0.8400 (0.8367) data: 0.0644 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:03:47,637 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0010000.pth
2019-10-25 16:04:04,552 maskrcnn_benchmark.trainer INFO: eta: 13:56:27 iter: 10020 loss: 1.4637 (1.5808) loss_classifier: 0.0588 (0.1016) loss_box_reg: 0.0598 (0.1094) loss_objectness: 0.0175 (0.0370) loss_rpn_box_reg: 0.0086 (0.0206) loss_da_image: 0.6484 (0.6581) loss_da_instance: 0.6591 (0.6457) loss_da_consistency: 0.0063 (0.0084) time: 0.8355 (0.8367) data: 0.0644 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:04:21,294 maskrcnn_benchmark.trainer INFO: eta: 13:56:10 iter: 10040 loss: 1.6119 (1.5809) loss_classifier: 0.0833 (0.1016) loss_box_reg: 0.1471 (0.1095) loss_objectness: 0.0216 (0.0370) loss_rpn_box_reg: 0.0151 (0.0207) loss_da_image: 0.6663 (0.6581) loss_da_instance: 0.6656 (0.6457) loss_da_consistency: 0.0070 (0.0084) time: 0.8364 (0.8367) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:04:38,042 maskrcnn_benchmark.trainer INFO: eta: 13:55:54 iter: 10060 loss: 1.4714 (1.5809) loss_classifier: 0.0545 (0.1015) loss_box_reg: 0.0815 (0.1095) loss_objectness: 0.0110 (0.0370) loss_rpn_box_reg: 0.0060 (0.0206) loss_da_image: 0.6712 (0.6581) loss_da_instance: 0.6613 (0.6457) loss_da_consistency: 0.0058 (0.0084) time: 0.8370 (0.8367) data: 0.0647 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:04:54,818 maskrcnn_benchmark.trainer INFO: eta: 13:55:37 iter: 10080 loss: 1.6005 (1.5809) loss_classifier: 0.0913 (0.1016) loss_box_reg: 0.1088 (0.1095) loss_objectness: 0.0198 (0.0370) loss_rpn_box_reg: 0.0203 (0.0206) loss_da_image: 0.6637 (0.6581) loss_da_instance: 0.6488 (0.6458) loss_da_consistency: 0.0069 (0.0084) time: 0.8343 (0.8367) data: 0.0667 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:05:11,516 maskrcnn_benchmark.trainer INFO: eta: 13:55:20 iter: 10100 loss: 1.4848 (1.5808) loss_classifier: 0.0817 (0.1015) loss_box_reg: 0.0678 (0.1094) loss_objectness: 0.0156 (0.0369) loss_rpn_box_reg: 0.0085 (0.0206) loss_da_image: 0.6723 (0.6581) loss_da_instance: 0.6648 (0.6458) loss_da_consistency: 0.0064 (0.0084) time: 0.8348 (0.8367) data: 0.0679 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:05:28,218 maskrcnn_benchmark.trainer INFO: eta: 13:55:03 iter: 10120 loss: 1.5007 (1.5807) loss_classifier: 0.0769 (0.1014) loss_box_reg: 0.0723 (0.1094) loss_objectness: 0.0164 (0.0369) loss_rpn_box_reg: 0.0124 (0.0206) loss_da_image: 0.6731 (0.6582) loss_da_instance: 0.6616 (0.6458) loss_da_consistency: 0.0062 (0.0084) time: 0.8343 (0.8367) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:05:44,942 maskrcnn_benchmark.trainer INFO: eta: 13:54:46 iter: 10140 loss: 1.5594 (1.5807) loss_classifier: 0.0693 (0.1014) loss_box_reg: 0.0887 (0.1094) loss_objectness: 0.0116 (0.0369) loss_rpn_box_reg: 0.0107 (0.0206) loss_da_image: 0.6689 (0.6582) loss_da_instance: 0.6486 (0.6458) loss_da_consistency: 0.0066 (0.0084) time: 0.8359 (0.8367) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:06:01,652 maskrcnn_benchmark.trainer INFO: eta: 13:54:30 iter: 10160 loss: 1.4748 (1.5806) loss_classifier: 0.0490 (0.1014) loss_box_reg: 0.0693 (0.1094) loss_objectness: 0.0080 (0.0369) loss_rpn_box_reg: 0.0079 (0.0206) loss_da_image: 0.6779 (0.6582) loss_da_instance: 0.6548 (0.6459) loss_da_consistency: 0.0079 (0.0084) time: 0.8349 (0.8367) data: 0.0618 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:06:18,377 maskrcnn_benchmark.trainer INFO: eta: 13:54:13 iter: 10180 loss: 1.5517 (1.5806) loss_classifier: 0.0808 (0.1013) loss_box_reg: 0.0932 (0.1093) loss_objectness: 0.0206 (0.0368) loss_rpn_box_reg: 0.0171 (0.0206) loss_da_image: 0.6671 (0.6583) loss_da_instance: 0.6510 (0.6459) loss_da_consistency: 0.0073 (0.0084) time: 0.8356 (0.8367) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:06:35,182 maskrcnn_benchmark.trainer INFO: eta: 13:53:56 iter: 10200 loss: 1.5233 (1.5805) loss_classifier: 0.0668 (0.1013) loss_box_reg: 0.0852 (0.1093) loss_objectness: 0.0212 (0.0368) loss_rpn_box_reg: 0.0187 (0.0206) loss_da_image: 0.6731 (0.6583) loss_da_instance: 0.6449 (0.6459) loss_da_consistency: 0.0071 (0.0084) time: 0.8390 (0.8367) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:06:51,914 maskrcnn_benchmark.trainer INFO: eta: 13:53:40 iter: 10220 loss: 1.5500 (1.5805) loss_classifier: 0.0787 (0.1013) loss_box_reg: 0.1002 (0.1093) loss_objectness: 0.0164 (0.0368) loss_rpn_box_reg: 0.0142 (0.0206) loss_da_image: 0.6711 (0.6583) loss_da_instance: 0.6491 (0.6459) loss_da_consistency: 0.0075 (0.0084) time: 0.8353 (0.8367) data: 0.0623 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:07:08,705 maskrcnn_benchmark.trainer INFO: eta: 13:53:23 iter: 10240 loss: 1.5467 (1.5804) loss_classifier: 0.0801 (0.1012) loss_box_reg: 0.0951 (0.1093) loss_objectness: 0.0188 (0.0368) loss_rpn_box_reg: 0.0082 (0.0206) loss_da_image: 0.6750 (0.6584) loss_da_instance: 0.6544 (0.6459) loss_da_consistency: 0.0075 (0.0083) time: 0.8381 (0.8367) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:07:25,452 maskrcnn_benchmark.trainer INFO: eta: 13:53:07 iter: 10260 loss: 1.5173 (1.5804) loss_classifier: 0.0723 (0.1012) loss_box_reg: 0.0911 (0.1093) loss_objectness: 0.0158 (0.0367) loss_rpn_box_reg: 0.0114 (0.0206) loss_da_image: 0.6702 (0.6584) loss_da_instance: 0.6501 (0.6459) loss_da_consistency: 0.0075 (0.0083) time: 0.8387 (0.8367) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:07:42,226 maskrcnn_benchmark.trainer INFO: eta: 13:52:50 iter: 10280 loss: 1.5259 (1.5804) loss_classifier: 0.0753 (0.1012) loss_box_reg: 0.0558 (0.1092) loss_objectness: 0.0134 (0.0367) loss_rpn_box_reg: 0.0103 (0.0206) loss_da_image: 0.6761 (0.6584) loss_da_instance: 0.6698 (0.6460) loss_da_consistency: 0.0061 (0.0083) time: 0.8383 (0.8367) data: 0.0624 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:07:59,001 maskrcnn_benchmark.trainer INFO: eta: 13:52:34 iter: 10300 loss: 1.5220 (1.5803) loss_classifier: 0.0752 (0.1011) loss_box_reg: 0.0929 (0.1092) loss_objectness: 0.0132 (0.0367) loss_rpn_box_reg: 0.0088 (0.0206) loss_da_image: 0.6712 (0.6584) loss_da_instance: 0.6469 (0.6460) loss_da_consistency: 0.0065 (0.0083) time: 0.8398 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:08:15,781 maskrcnn_benchmark.trainer INFO: eta: 13:52:17 iter: 10320 loss: 1.5769 (1.5803) loss_classifier: 0.0843 (0.1011) loss_box_reg: 0.1011 (0.1092) loss_objectness: 0.0127 (0.0366) loss_rpn_box_reg: 0.0126 (0.0206) loss_da_image: 0.6754 (0.6585) loss_da_instance: 0.6390 (0.6460) loss_da_consistency: 0.0078 (0.0083) time: 0.8391 (0.8368) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:08:32,545 maskrcnn_benchmark.trainer INFO: eta: 13:52:01 iter: 10340 loss: 1.5010 (1.5802) loss_classifier: 0.0632 (0.1011) loss_box_reg: 0.0587 (0.1091) loss_objectness: 0.0148 (0.0366) loss_rpn_box_reg: 0.0112 (0.0205) loss_da_image: 0.6815 (0.6585) loss_da_instance: 0.6709 (0.6460) loss_da_consistency: 0.0075 (0.0083) time: 0.8385 (0.8368) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:08:49,322 maskrcnn_benchmark.trainer INFO: eta: 13:51:44 iter: 10360 loss: 1.5444 (1.5802) loss_classifier: 0.0711 (0.1010) loss_box_reg: 0.0661 (0.1091) loss_objectness: 0.0162 (0.0366) loss_rpn_box_reg: 0.0100 (0.0205) loss_da_image: 0.6754 (0.6586) loss_da_instance: 0.6579 (0.6461) loss_da_consistency: 0.0078 (0.0083) time: 0.8402 (0.8368) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:09:06,058 maskrcnn_benchmark.trainer INFO: eta: 13:51:27 iter: 10380 loss: 1.5216 (1.5801) loss_classifier: 0.0683 (0.1010) loss_box_reg: 0.0724 (0.1091) loss_objectness: 0.0170 (0.0365) loss_rpn_box_reg: 0.0095 (0.0205) loss_da_image: 0.6753 (0.6586) loss_da_instance: 0.6506 (0.6461) loss_da_consistency: 0.0069 (0.0083) time: 0.8375 (0.8368) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:09:22,861 maskrcnn_benchmark.trainer INFO: eta: 13:51:11 iter: 10400 loss: 1.5604 (1.5801) loss_classifier: 0.0828 (0.1010) loss_box_reg: 0.0960 (0.1091) loss_objectness: 0.0233 (0.0365) loss_rpn_box_reg: 0.0161 (0.0205) loss_da_image: 0.6739 (0.6586) loss_da_instance: 0.6661 (0.6461) loss_da_consistency: 0.0079 (0.0083) time: 0.8401 (0.8368) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:09:39,644 maskrcnn_benchmark.trainer INFO: eta: 13:50:55 iter: 10420 loss: 1.5421 (1.5800) loss_classifier: 0.0770 (0.1009) loss_box_reg: 0.0824 (0.1090) loss_objectness: 0.0172 (0.0365) loss_rpn_box_reg: 0.0137 (0.0205) loss_da_image: 0.6711 (0.6586) loss_da_instance: 0.6506 (0.6461) loss_da_consistency: 0.0063 (0.0083) time: 0.8391 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:09:56,392 maskrcnn_benchmark.trainer INFO: eta: 13:50:38 iter: 10440 loss: 1.5405 (1.5800) loss_classifier: 0.0805 (0.1009) loss_box_reg: 0.0690 (0.1090) loss_objectness: 0.0129 (0.0364) loss_rpn_box_reg: 0.0137 (0.0205) loss_da_image: 0.6771 (0.6587) loss_da_instance: 0.6565 (0.6461) loss_da_consistency: 0.0067 (0.0083) time: 0.8360 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:10:13,162 maskrcnn_benchmark.trainer INFO: eta: 13:50:21 iter: 10460 loss: 1.5619 (1.5800) loss_classifier: 0.0882 (0.1009) loss_box_reg: 0.1070 (0.1090) loss_objectness: 0.0194 (0.0364) loss_rpn_box_reg: 0.0205 (0.0205) loss_da_image: 0.6754 (0.6587) loss_da_instance: 0.6543 (0.6462) loss_da_consistency: 0.0068 (0.0083) time: 0.8376 (0.8368) data: 0.0656 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:10:29,913 maskrcnn_benchmark.trainer INFO: eta: 13:50:05 iter: 10480 loss: 1.5347 (1.5799) loss_classifier: 0.0752 (0.1008) loss_box_reg: 0.1022 (0.1090) loss_objectness: 0.0148 (0.0364) loss_rpn_box_reg: 0.0093 (0.0205) loss_da_image: 0.6684 (0.6587) loss_da_instance: 0.6530 (0.6462) loss_da_consistency: 0.0073 (0.0083) time: 0.8352 (0.8368) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:10:46,737 maskrcnn_benchmark.trainer INFO: eta: 13:49:48 iter: 10500 loss: 1.4824 (1.5798) loss_classifier: 0.0756 (0.1008) loss_box_reg: 0.0827 (0.1089) loss_objectness: 0.0170 (0.0363) loss_rpn_box_reg: 0.0106 (0.0205) loss_da_image: 0.6595 (0.6587) loss_da_instance: 0.6579 (0.6462) loss_da_consistency: 0.0057 (0.0083) time: 0.8404 (0.8368) data: 0.0647 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:11:03,484 maskrcnn_benchmark.trainer INFO: eta: 13:49:32 iter: 10520 loss: 1.4996 (1.5797) loss_classifier: 0.0680 (0.1007) loss_box_reg: 0.0418 (0.1089) loss_objectness: 0.0157 (0.0363) loss_rpn_box_reg: 0.0081 (0.0205) loss_da_image: 0.6730 (0.6588) loss_da_instance: 0.6583 (0.6462) loss_da_consistency: 0.0073 (0.0083) time: 0.8367 (0.8368) data: 0.0626 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:11:20,196 maskrcnn_benchmark.trainer INFO: eta: 13:49:15 iter: 10540 loss: 1.5417 (1.5797) loss_classifier: 0.0648 (0.1007) loss_box_reg: 0.0958 (0.1089) loss_objectness: 0.0130 (0.0363) loss_rpn_box_reg: 0.0085 (0.0205) loss_da_image: 0.6722 (0.6588) loss_da_instance: 0.6496 (0.6463) loss_da_consistency: 0.0067 (0.0083) time: 0.8361 (0.8368) data: 0.0623 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:11:36,892 maskrcnn_benchmark.trainer INFO: eta: 13:48:58 iter: 10560 loss: 1.5041 (1.5796) loss_classifier: 0.0750 (0.1007) loss_box_reg: 0.0625 (0.1088) loss_objectness: 0.0125 (0.0362) loss_rpn_box_reg: 0.0067 (0.0205) loss_da_image: 0.6712 (0.6588) loss_da_instance: 0.6602 (0.6463) loss_da_consistency: 0.0068 (0.0083) time: 0.8340 (0.8368) data: 0.0622 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:11:53,670 maskrcnn_benchmark.trainer INFO: eta: 13:48:41 iter: 10580 loss: 1.5104 (1.5795) loss_classifier: 0.0636 (0.1006) loss_box_reg: 0.0621 (0.1087) loss_objectness: 0.0122 (0.0362) loss_rpn_box_reg: 0.0074 (0.0204) loss_da_image: 0.6739 (0.6588) loss_da_instance: 0.6611 (0.6463) loss_da_consistency: 0.0064 (0.0083) time: 0.8391 (0.8368) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:12:10,459 maskrcnn_benchmark.trainer INFO: eta: 13:48:25 iter: 10600 loss: 1.4819 (1.5794) loss_classifier: 0.0739 (0.1006) loss_box_reg: 0.0670 (0.1087) loss_objectness: 0.0193 (0.0362) loss_rpn_box_reg: 0.0085 (0.0204) loss_da_image: 0.6657 (0.6589) loss_da_instance: 0.6532 (0.6463) loss_da_consistency: 0.0058 (0.0083) time: 0.8381 (0.8368) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:12:27,334 maskrcnn_benchmark.trainer INFO: eta: 13:48:09 iter: 10620 loss: 1.4994 (1.5793) loss_classifier: 0.0765 (0.1005) loss_box_reg: 0.0791 (0.1087) loss_objectness: 0.0136 (0.0362) loss_rpn_box_reg: 0.0083 (0.0204) loss_da_image: 0.6720 (0.6589) loss_da_instance: 0.6639 (0.6464) loss_da_consistency: 0.0072 (0.0083) time: 0.8386 (0.8368) data: 0.0659 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:12:44,135 maskrcnn_benchmark.trainer INFO: eta: 13:47:53 iter: 10640 loss: 1.5474 (1.5793) loss_classifier: 0.1008 (0.1005) loss_box_reg: 0.0811 (0.1087) loss_objectness: 0.0201 (0.0361) loss_rpn_box_reg: 0.0098 (0.0204) loss_da_image: 0.6732 (0.6589) loss_da_instance: 0.6586 (0.6464) loss_da_consistency: 0.0062 (0.0083) time: 0.8341 (0.8368) data: 0.0660 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:13:00,861 maskrcnn_benchmark.trainer INFO: eta: 13:47:36 iter: 10660 loss: 1.5467 (1.5793) loss_classifier: 0.0809 (0.1005) loss_box_reg: 0.0878 (0.1086) loss_objectness: 0.0173 (0.0361) loss_rpn_box_reg: 0.0117 (0.0204) loss_da_image: 0.6673 (0.6589) loss_da_instance: 0.6652 (0.6464) loss_da_consistency: 0.0061 (0.0083) time: 0.8335 (0.8368) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:13:17,570 maskrcnn_benchmark.trainer INFO: eta: 13:47:19 iter: 10680 loss: 1.5518 (1.5793) loss_classifier: 0.0877 (0.1005) loss_box_reg: 0.1279 (0.1087) loss_objectness: 0.0200 (0.0361) loss_rpn_box_reg: 0.0174 (0.0204) loss_da_image: 0.6697 (0.6590) loss_da_instance: 0.6640 (0.6464) loss_da_consistency: 0.0068 (0.0083) time: 0.8351 (0.8368) data: 0.0650 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:13:34,270 maskrcnn_benchmark.trainer INFO: eta: 13:47:02 iter: 10700 loss: 1.5005 (1.5792) loss_classifier: 0.0805 (0.1004) loss_box_reg: 0.0593 (0.1086) loss_objectness: 0.0194 (0.0361) loss_rpn_box_reg: 0.0123 (0.0204) loss_da_image: 0.6750 (0.6590) loss_da_instance: 0.6631 (0.6465) loss_da_consistency: 0.0069 (0.0083) time: 0.8351 (0.8368) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:13:51,003 maskrcnn_benchmark.trainer INFO: eta: 13:46:45 iter: 10720 loss: 1.5557 (1.5792) loss_classifier: 0.0910 (0.1004) loss_box_reg: 0.1068 (0.1086) loss_objectness: 0.0165 (0.0360) loss_rpn_box_reg: 0.0134 (0.0204) loss_da_image: 0.6770 (0.6590) loss_da_instance: 0.6567 (0.6465) loss_da_consistency: 0.0061 (0.0083) time: 0.8355 (0.8368) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:14:07,701 maskrcnn_benchmark.trainer INFO: eta: 13:46:28 iter: 10740 loss: 1.4752 (1.5791) loss_classifier: 0.0718 (0.1003) loss_box_reg: 0.0548 (0.1085) loss_objectness: 0.0128 (0.0360) loss_rpn_box_reg: 0.0078 (0.0204) loss_da_image: 0.6689 (0.6590) loss_da_instance: 0.6490 (0.6465) loss_da_consistency: 0.0066 (0.0083) time: 0.8349 (0.8368) data: 0.0636 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:14:24,418 maskrcnn_benchmark.trainer INFO: eta: 13:46:12 iter: 10760 loss: 1.5035 (1.5790) loss_classifier: 0.0631 (0.1003) loss_box_reg: 0.0711 (0.1085) loss_objectness: 0.0096 (0.0360) loss_rpn_box_reg: 0.0086 (0.0204) loss_da_image: 0.6724 (0.6591) loss_da_instance: 0.6514 (0.6465) loss_da_consistency: 0.0065 (0.0083) time: 0.8357 (0.8368) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:14:41,130 maskrcnn_benchmark.trainer INFO: eta: 13:45:55 iter: 10780 loss: 1.5225 (1.5789) loss_classifier: 0.0513 (0.1002) loss_box_reg: 0.0686 (0.1084) loss_objectness: 0.0134 (0.0359) loss_rpn_box_reg: 0.0082 (0.0203) loss_da_image: 0.6740 (0.6591) loss_da_instance: 0.6548 (0.6466) loss_da_consistency: 0.0069 (0.0083) time: 0.8358 (0.8368) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:14:57,831 maskrcnn_benchmark.trainer INFO: eta: 13:45:38 iter: 10800 loss: 1.4839 (1.5788) loss_classifier: 0.0593 (0.1002) loss_box_reg: 0.0816 (0.1084) loss_objectness: 0.0112 (0.0359) loss_rpn_box_reg: 0.0069 (0.0203) loss_da_image: 0.6689 (0.6591) loss_da_instance: 0.6489 (0.6466) loss_da_consistency: 0.0060 (0.0083) time: 0.8348 (0.8368) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:15:14,493 maskrcnn_benchmark.trainer INFO: eta: 13:45:21 iter: 10820 loss: 1.5394 (1.5788) loss_classifier: 0.0779 (0.1002) loss_box_reg: 0.0848 (0.1084) loss_objectness: 0.0180 (0.0359) loss_rpn_box_reg: 0.0100 (0.0203) loss_da_image: 0.6714 (0.6591) loss_da_instance: 0.6649 (0.6466) loss_da_consistency: 0.0059 (0.0083) time: 0.8313 (0.8368) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:15:31,197 maskrcnn_benchmark.trainer INFO: eta: 13:45:04 iter: 10840 loss: 1.5050 (1.5787) loss_classifier: 0.0719 (0.1002) loss_box_reg: 0.0659 (0.1083) loss_objectness: 0.0159 (0.0359) loss_rpn_box_reg: 0.0144 (0.0203) loss_da_image: 0.6765 (0.6592) loss_da_instance: 0.6359 (0.6466) loss_da_consistency: 0.0082 (0.0083) time: 0.8352 (0.8368) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:15:47,920 maskrcnn_benchmark.trainer INFO: eta: 13:44:47 iter: 10860 loss: 1.4629 (1.5786) loss_classifier: 0.0468 (0.1001) loss_box_reg: 0.0669 (0.1083) loss_objectness: 0.0100 (0.0358) loss_rpn_box_reg: 0.0113 (0.0203) loss_da_image: 0.6664 (0.6592) loss_da_instance: 0.6574 (0.6466) loss_da_consistency: 0.0069 (0.0083) time: 0.8362 (0.8368) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:16:04,667 maskrcnn_benchmark.trainer INFO: eta: 13:44:30 iter: 10880 loss: 1.5800 (1.5786) loss_classifier: 0.0860 (0.1001) loss_box_reg: 0.1104 (0.1083) loss_objectness: 0.0145 (0.0358) loss_rpn_box_reg: 0.0122 (0.0203) loss_da_image: 0.6723 (0.6592) loss_da_instance: 0.6521 (0.6467) loss_da_consistency: 0.0074 (0.0083) time: 0.8369 (0.8368) data: 0.0626 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:16:21,409 maskrcnn_benchmark.trainer INFO: eta: 13:44:13 iter: 10900 loss: 1.5197 (1.5786) loss_classifier: 0.0657 (0.1000) loss_box_reg: 0.0828 (0.1083) loss_objectness: 0.0113 (0.0358) loss_rpn_box_reg: 0.0096 (0.0203) loss_da_image: 0.6773 (0.6593) loss_da_instance: 0.6757 (0.6467) loss_da_consistency: 0.0057 (0.0083) time: 0.8375 (0.8368) data: 0.0646 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:16:38,138 maskrcnn_benchmark.trainer INFO: eta: 13:43:57 iter: 10920 loss: 1.5847 (1.5786) loss_classifier: 0.0817 (0.1000) loss_box_reg: 0.0958 (0.1083) loss_objectness: 0.0209 (0.0358) loss_rpn_box_reg: 0.0139 (0.0203) loss_da_image: 0.6725 (0.6593) loss_da_instance: 0.6707 (0.6467) loss_da_consistency: 0.0061 (0.0083) time: 0.8353 (0.8368) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:16:54,900 maskrcnn_benchmark.trainer INFO: eta: 13:43:40 iter: 10940 loss: 1.5248 (1.5786) loss_classifier: 0.0738 (0.1000) loss_box_reg: 0.0789 (0.1082) loss_objectness: 0.0236 (0.0358) loss_rpn_box_reg: 0.0133 (0.0203) loss_da_image: 0.6663 (0.6593) loss_da_instance: 0.6611 (0.6468) loss_da_consistency: 0.0057 (0.0082) time: 0.8370 (0.8368) data: 0.0625 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:17:11,602 maskrcnn_benchmark.trainer INFO: eta: 13:43:23 iter: 10960 loss: 1.4803 (1.5785) loss_classifier: 0.0548 (0.1000) loss_box_reg: 0.0423 (0.1081) loss_objectness: 0.0109 (0.0357) loss_rpn_box_reg: 0.0066 (0.0203) loss_da_image: 0.6802 (0.6593) loss_da_instance: 0.6764 (0.6468) loss_da_consistency: 0.0043 (0.0082) time: 0.8355 (0.8368) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:17:28,306 maskrcnn_benchmark.trainer INFO: eta: 13:43:06 iter: 10980 loss: 1.5521 (1.5785) loss_classifier: 0.0780 (0.1000) loss_box_reg: 0.0923 (0.1081) loss_objectness: 0.0166 (0.0357) loss_rpn_box_reg: 0.0141 (0.0203) loss_da_image: 0.6677 (0.6594) loss_da_instance: 0.6633 (0.6469) loss_da_consistency: 0.0053 (0.0082) time: 0.8359 (0.8368) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:17:44,998 maskrcnn_benchmark.trainer INFO: eta: 13:42:49 iter: 11000 loss: 1.5542 (1.5785) loss_classifier: 0.0815 (0.0999) loss_box_reg: 0.0906 (0.1081) loss_objectness: 0.0170 (0.0357) loss_rpn_box_reg: 0.0111 (0.0203) loss_da_image: 0.6808 (0.6594) loss_da_instance: 0.6611 (0.6469) loss_da_consistency: 0.0048 (0.0082) time: 0.8348 (0.8368) data: 0.0622 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:18:01,686 maskrcnn_benchmark.trainer INFO: eta: 13:42:32 iter: 11020 loss: 1.5148 (1.5784) loss_classifier: 0.0725 (0.0999) loss_box_reg: 0.0581 (0.1080) loss_objectness: 0.0238 (0.0357) loss_rpn_box_reg: 0.0140 (0.0203) loss_da_image: 0.6602 (0.6594) loss_da_instance: 0.6651 (0.6469) loss_da_consistency: 0.0068 (0.0082) time: 0.8338 (0.8368) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:18:18,330 maskrcnn_benchmark.trainer INFO: eta: 13:42:15 iter: 11040 loss: 1.4749 (1.5784) loss_classifier: 0.0607 (0.0999) loss_box_reg: 0.0971 (0.1081) loss_objectness: 0.0151 (0.0356) loss_rpn_box_reg: 0.0090 (0.0203) loss_da_image: 0.6662 (0.6594) loss_da_instance: 0.6582 (0.6469) loss_da_consistency: 0.0055 (0.0082) time: 0.8319 (0.8368) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:18:35,017 maskrcnn_benchmark.trainer INFO: eta: 13:41:58 iter: 11060 loss: 1.5005 (1.5783) loss_classifier: 0.0729 (0.0998) loss_box_reg: 0.0622 (0.1080) loss_objectness: 0.0154 (0.0356) loss_rpn_box_reg: 0.0145 (0.0203) loss_da_image: 0.6672 (0.6594) loss_da_instance: 0.6580 (0.6470) loss_da_consistency: 0.0058 (0.0082) time: 0.8342 (0.8368) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:18:51,730 maskrcnn_benchmark.trainer INFO: eta: 13:41:41 iter: 11080 loss: 1.5109 (1.5782) loss_classifier: 0.0640 (0.0998) loss_box_reg: 0.0682 (0.1080) loss_objectness: 0.0153 (0.0356) loss_rpn_box_reg: 0.0120 (0.0202) loss_da_image: 0.6655 (0.6594) loss_da_instance: 0.6646 (0.6470) loss_da_consistency: 0.0058 (0.0082) time: 0.8347 (0.8368) data: 0.0638 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:19:08,557 maskrcnn_benchmark.trainer INFO: eta: 13:41:25 iter: 11100 loss: 1.5467 (1.5782) loss_classifier: 0.0837 (0.0998) loss_box_reg: 0.0849 (0.1079) loss_objectness: 0.0158 (0.0355) loss_rpn_box_reg: 0.0163 (0.0202) loss_da_image: 0.6787 (0.6595) loss_da_instance: 0.6689 (0.6470) loss_da_consistency: 0.0061 (0.0082) time: 0.8404 (0.8368) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:19:25,301 maskrcnn_benchmark.trainer INFO: eta: 13:41:08 iter: 11120 loss: 1.4957 (1.5782) loss_classifier: 0.0556 (0.0997) loss_box_reg: 0.0676 (0.1079) loss_objectness: 0.0192 (0.0355) loss_rpn_box_reg: 0.0152 (0.0203) loss_da_image: 0.6712 (0.6595) loss_da_instance: 0.6581 (0.6470) loss_da_consistency: 0.0052 (0.0082) time: 0.8380 (0.8368) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:19:42,106 maskrcnn_benchmark.trainer INFO: eta: 13:40:52 iter: 11140 loss: 1.5057 (1.5781) loss_classifier: 0.0483 (0.0997) loss_box_reg: 0.0570 (0.1079) loss_objectness: 0.0123 (0.0355) loss_rpn_box_reg: 0.0092 (0.0202) loss_da_image: 0.6709 (0.6595) loss_da_instance: 0.6615 (0.6471) loss_da_consistency: 0.0061 (0.0082) time: 0.8401 (0.8368) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:19:58,824 maskrcnn_benchmark.trainer INFO: eta: 13:40:35 iter: 11160 loss: 1.4575 (1.5779) loss_classifier: 0.0442 (0.0996) loss_box_reg: 0.0494 (0.1078) loss_objectness: 0.0110 (0.0355) loss_rpn_box_reg: 0.0046 (0.0202) loss_da_image: 0.6591 (0.6595) loss_da_instance: 0.6604 (0.6471) loss_da_consistency: 0.0057 (0.0082) time: 0.8354 (0.8368) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:20:15,575 maskrcnn_benchmark.trainer INFO: eta: 13:40:18 iter: 11180 loss: 1.5521 (1.5779) loss_classifier: 0.0743 (0.0996) loss_box_reg: 0.1017 (0.1078) loss_objectness: 0.0156 (0.0354) loss_rpn_box_reg: 0.0174 (0.0202) loss_da_image: 0.6611 (0.6595) loss_da_instance: 0.6583 (0.6471) loss_da_consistency: 0.0064 (0.0082) time: 0.8360 (0.8368) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:20:32,307 maskrcnn_benchmark.trainer INFO: eta: 13:40:02 iter: 11200 loss: 1.5009 (1.5778) loss_classifier: 0.0754 (0.0996) loss_box_reg: 0.0875 (0.1078) loss_objectness: 0.0165 (0.0354) loss_rpn_box_reg: 0.0085 (0.0202) loss_da_image: 0.6569 (0.6595) loss_da_instance: 0.6470 (0.6471) loss_da_consistency: 0.0063 (0.0082) time: 0.8358 (0.8368) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:20:49,002 maskrcnn_benchmark.trainer INFO: eta: 13:39:45 iter: 11220 loss: 1.5335 (1.5778) loss_classifier: 0.0820 (0.0996) loss_box_reg: 0.0754 (0.1077) loss_objectness: 0.0132 (0.0354) loss_rpn_box_reg: 0.0099 (0.0202) loss_da_image: 0.6637 (0.6595) loss_da_instance: 0.6547 (0.6471) loss_da_consistency: 0.0071 (0.0082) time: 0.8328 (0.8368) data: 0.0651 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:21:05,605 maskrcnn_benchmark.trainer INFO: eta: 13:39:27 iter: 11240 loss: 1.5492 (1.5777) loss_classifier: 0.0688 (0.0995) loss_box_reg: 0.0813 (0.1077) loss_objectness: 0.0121 (0.0354) loss_rpn_box_reg: 0.0113 (0.0202) loss_da_image: 0.6754 (0.6596) loss_da_instance: 0.6662 (0.6472) loss_da_consistency: 0.0063 (0.0082) time: 0.8292 (0.8368) data: 0.0676 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:21:22,220 maskrcnn_benchmark.trainer INFO: eta: 13:39:10 iter: 11260 loss: 1.4840 (1.5776) loss_classifier: 0.0651 (0.0995) loss_box_reg: 0.0588 (0.1077) loss_objectness: 0.0150 (0.0353) loss_rpn_box_reg: 0.0090 (0.0202) loss_da_image: 0.6791 (0.6596) loss_da_instance: 0.6593 (0.6472) loss_da_consistency: 0.0065 (0.0082) time: 0.8317 (0.8367) data: 0.0670 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:21:38,832 maskrcnn_benchmark.trainer INFO: eta: 13:38:53 iter: 11280 loss: 1.4978 (1.5776) loss_classifier: 0.0756 (0.0995) loss_box_reg: 0.0649 (0.1076) loss_objectness: 0.0169 (0.0353) loss_rpn_box_reg: 0.0058 (0.0202) loss_da_image: 0.6694 (0.6596) loss_da_instance: 0.6669 (0.6472) loss_da_consistency: 0.0058 (0.0082) time: 0.8319 (0.8367) data: 0.0670 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:21:55,462 maskrcnn_benchmark.trainer INFO: eta: 13:38:35 iter: 11300 loss: 1.5274 (1.5775) loss_classifier: 0.0686 (0.0995) loss_box_reg: 0.0694 (0.1076) loss_objectness: 0.0156 (0.0353) loss_rpn_box_reg: 0.0095 (0.0202) loss_da_image: 0.6784 (0.6596) loss_da_instance: 0.6663 (0.6472) loss_da_consistency: 0.0061 (0.0082) time: 0.8303 (0.8367) data: 0.0679 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:22:12,088 maskrcnn_benchmark.trainer INFO: eta: 13:38:18 iter: 11320 loss: 1.5237 (1.5775) loss_classifier: 0.0742 (0.0994) loss_box_reg: 0.0715 (0.1075) loss_objectness: 0.0125 (0.0353) loss_rpn_box_reg: 0.0081 (0.0201) loss_da_image: 0.6739 (0.6597) loss_da_instance: 0.6567 (0.6473) loss_da_consistency: 0.0056 (0.0082) time: 0.8315 (0.8367) data: 0.0679 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:22:28,733 maskrcnn_benchmark.trainer INFO: eta: 13:38:01 iter: 11340 loss: 1.5043 (1.5774) loss_classifier: 0.0648 (0.0994) loss_box_reg: 0.0754 (0.1075) loss_objectness: 0.0150 (0.0352) loss_rpn_box_reg: 0.0074 (0.0201) loss_da_image: 0.6686 (0.6597) loss_da_instance: 0.6603 (0.6473) loss_da_consistency: 0.0056 (0.0082) time: 0.8316 (0.8367) data: 0.0688 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:22:45,338 maskrcnn_benchmark.trainer INFO: eta: 13:37:43 iter: 11360 loss: 1.5166 (1.5774) loss_classifier: 0.0687 (0.0994) loss_box_reg: 0.0885 (0.1075) loss_objectness: 0.0140 (0.0352) loss_rpn_box_reg: 0.0101 (0.0201) loss_da_image: 0.6695 (0.6597) loss_da_instance: 0.6661 (0.6473) loss_da_consistency: 0.0054 (0.0082) time: 0.8301 (0.8367) data: 0.0670 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:23:01,985 maskrcnn_benchmark.trainer INFO: eta: 13:37:26 iter: 11380 loss: 1.5265 (1.5773) loss_classifier: 0.0735 (0.0993) loss_box_reg: 0.0837 (0.1075) loss_objectness: 0.0142 (0.0352) loss_rpn_box_reg: 0.0121 (0.0201) loss_da_image: 0.6692 (0.6597) loss_da_instance: 0.6515 (0.6473) loss_da_consistency: 0.0066 (0.0082) time: 0.8314 (0.8367) data: 0.0687 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:23:18,658 maskrcnn_benchmark.trainer INFO: eta: 13:37:09 iter: 11400 loss: 1.5523 (1.5773) loss_classifier: 0.0817 (0.0993) loss_box_reg: 0.1111 (0.1075) loss_objectness: 0.0174 (0.0352) loss_rpn_box_reg: 0.0133 (0.0201) loss_da_image: 0.6663 (0.6597) loss_da_instance: 0.6634 (0.6474) loss_da_consistency: 0.0067 (0.0082) time: 0.8325 (0.8367) data: 0.0664 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:23:35,375 maskrcnn_benchmark.trainer INFO: eta: 13:36:52 iter: 11420 loss: 1.5729 (1.5774) loss_classifier: 0.0916 (0.0993) loss_box_reg: 0.1042 (0.1075) loss_objectness: 0.0224 (0.0352) loss_rpn_box_reg: 0.0095 (0.0201) loss_da_image: 0.6588 (0.6597) loss_da_instance: 0.6527 (0.6474) loss_da_consistency: 0.0069 (0.0082) time: 0.8358 (0.8367) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:23:52,045 maskrcnn_benchmark.trainer INFO: eta: 13:36:35 iter: 11440 loss: 1.4957 (1.5772) loss_classifier: 0.0664 (0.0993) loss_box_reg: 0.0633 (0.1074) loss_objectness: 0.0135 (0.0351) loss_rpn_box_reg: 0.0065 (0.0201) loss_da_image: 0.6610 (0.6597) loss_da_instance: 0.6630 (0.6474) loss_da_consistency: 0.0061 (0.0082) time: 0.8320 (0.8367) data: 0.0617 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:24:08,701 maskrcnn_benchmark.trainer INFO: eta: 13:36:18 iter: 11460 loss: 1.5190 (1.5771) loss_classifier: 0.0880 (0.0992) loss_box_reg: 0.0959 (0.1074) loss_objectness: 0.0192 (0.0351) loss_rpn_box_reg: 0.0158 (0.0201) loss_da_image: 0.6624 (0.6597) loss_da_instance: 0.6489 (0.6474) loss_da_consistency: 0.0067 (0.0082) time: 0.8300 (0.8367) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:24:25,400 maskrcnn_benchmark.trainer INFO: eta: 13:36:01 iter: 11480 loss: 1.5114 (1.5771) loss_classifier: 0.0715 (0.0992) loss_box_reg: 0.1120 (0.1074) loss_objectness: 0.0097 (0.0351) loss_rpn_box_reg: 0.0158 (0.0201) loss_da_image: 0.6564 (0.6598) loss_da_instance: 0.6612 (0.6474) loss_da_consistency: 0.0071 (0.0081) time: 0.8348 (0.8367) data: 0.0623 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:24:42,092 maskrcnn_benchmark.trainer INFO: eta: 13:35:44 iter: 11500 loss: 1.4869 (1.5770) loss_classifier: 0.0525 (0.0992) loss_box_reg: 0.0566 (0.1074) loss_objectness: 0.0089 (0.0350) loss_rpn_box_reg: 0.0073 (0.0201) loss_da_image: 0.6599 (0.6598) loss_da_instance: 0.6492 (0.6475) loss_da_consistency: 0.0065 (0.0081) time: 0.8336 (0.8367) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:24:58,795 maskrcnn_benchmark.trainer INFO: eta: 13:35:27 iter: 11520 loss: 1.5246 (1.5769) loss_classifier: 0.0779 (0.0991) loss_box_reg: 0.0943 (0.1074) loss_objectness: 0.0173 (0.0350) loss_rpn_box_reg: 0.0116 (0.0201) loss_da_image: 0.6608 (0.6598) loss_da_instance: 0.6562 (0.6475) loss_da_consistency: 0.0067 (0.0081) time: 0.8356 (0.8367) data: 0.0622 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:25:15,498 maskrcnn_benchmark.trainer INFO: eta: 13:35:11 iter: 11540 loss: 1.5527 (1.5770) loss_classifier: 0.0910 (0.0991) loss_box_reg: 0.1117 (0.1074) loss_objectness: 0.0163 (0.0350) loss_rpn_box_reg: 0.0140 (0.0201) loss_da_image: 0.6641 (0.6598) loss_da_instance: 0.6454 (0.6475) loss_da_consistency: 0.0073 (0.0081) time: 0.8363 (0.8367) data: 0.0636 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:25:32,246 maskrcnn_benchmark.trainer INFO: eta: 13:34:54 iter: 11560 loss: 1.5283 (1.5769) loss_classifier: 0.0767 (0.0991) loss_box_reg: 0.0720 (0.1073) loss_objectness: 0.0135 (0.0350) loss_rpn_box_reg: 0.0144 (0.0200) loss_da_image: 0.6660 (0.6598) loss_da_instance: 0.6642 (0.6475) loss_da_consistency: 0.0070 (0.0081) time: 0.8367 (0.8367) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:25:48,949 maskrcnn_benchmark.trainer INFO: eta: 13:34:37 iter: 11580 loss: 1.4880 (1.5768) loss_classifier: 0.0514 (0.0991) loss_box_reg: 0.0533 (0.1073) loss_objectness: 0.0144 (0.0349) loss_rpn_box_reg: 0.0074 (0.0200) loss_da_image: 0.6722 (0.6598) loss_da_instance: 0.6636 (0.6475) loss_da_consistency: 0.0054 (0.0081) time: 0.8344 (0.8367) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:26:05,669 maskrcnn_benchmark.trainer INFO: eta: 13:34:20 iter: 11600 loss: 1.5240 (1.5768) loss_classifier: 0.0706 (0.0990) loss_box_reg: 0.0728 (0.1072) loss_objectness: 0.0154 (0.0349) loss_rpn_box_reg: 0.0132 (0.0200) loss_da_image: 0.6703 (0.6598) loss_da_instance: 0.6600 (0.6476) loss_da_consistency: 0.0068 (0.0081) time: 0.8349 (0.8367) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:26:22,372 maskrcnn_benchmark.trainer INFO: eta: 13:34:03 iter: 11620 loss: 1.4886 (1.5767) loss_classifier: 0.0727 (0.0990) loss_box_reg: 0.0650 (0.1072) loss_objectness: 0.0121 (0.0349) loss_rpn_box_reg: 0.0073 (0.0200) loss_da_image: 0.6625 (0.6598) loss_da_instance: 0.6613 (0.6476) loss_da_consistency: 0.0060 (0.0081) time: 0.8358 (0.8367) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:26:39,054 maskrcnn_benchmark.trainer INFO: eta: 13:33:46 iter: 11640 loss: 1.5034 (1.5766) loss_classifier: 0.0626 (0.0990) loss_box_reg: 0.0746 (0.1072) loss_objectness: 0.0155 (0.0349) loss_rpn_box_reg: 0.0098 (0.0200) loss_da_image: 0.6738 (0.6599) loss_da_instance: 0.6625 (0.6476) loss_da_consistency: 0.0056 (0.0081) time: 0.8326 (0.8366) data: 0.0624 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:26:55,769 maskrcnn_benchmark.trainer INFO: eta: 13:33:30 iter: 11660 loss: 1.5536 (1.5766) loss_classifier: 0.0681 (0.0989) loss_box_reg: 0.0801 (0.1072) loss_objectness: 0.0166 (0.0348) loss_rpn_box_reg: 0.0119 (0.0200) loss_da_image: 0.6730 (0.6599) loss_da_instance: 0.6517 (0.6476) loss_da_consistency: 0.0061 (0.0081) time: 0.8360 (0.8366) data: 0.0618 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:27:12,510 maskrcnn_benchmark.trainer INFO: eta: 13:33:13 iter: 11680 loss: 1.5093 (1.5765) loss_classifier: 0.0692 (0.0989) loss_box_reg: 0.0978 (0.1072) loss_objectness: 0.0153 (0.0348) loss_rpn_box_reg: 0.0094 (0.0200) loss_da_image: 0.6574 (0.6599) loss_da_instance: 0.6468 (0.6476) loss_da_consistency: 0.0070 (0.0081) time: 0.8376 (0.8366) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:27:29,232 maskrcnn_benchmark.trainer INFO: eta: 13:32:56 iter: 11700 loss: 1.4769 (1.5764) loss_classifier: 0.0599 (0.0989) loss_box_reg: 0.0564 (0.1071) loss_objectness: 0.0146 (0.0348) loss_rpn_box_reg: 0.0087 (0.0200) loss_da_image: 0.6580 (0.6599) loss_da_instance: 0.6666 (0.6477) loss_da_consistency: 0.0061 (0.0081) time: 0.8362 (0.8366) data: 0.0644 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:27:45,937 maskrcnn_benchmark.trainer INFO: eta: 13:32:39 iter: 11720 loss: 1.5319 (1.5764) loss_classifier: 0.0692 (0.0988) loss_box_reg: 0.0775 (0.1071) loss_objectness: 0.0200 (0.0348) loss_rpn_box_reg: 0.0170 (0.0200) loss_da_image: 0.6559 (0.6599) loss_da_instance: 0.6626 (0.6477) loss_da_consistency: 0.0068 (0.0081) time: 0.8334 (0.8366) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:28:02,636 maskrcnn_benchmark.trainer INFO: eta: 13:32:22 iter: 11740 loss: 1.5062 (1.5764) loss_classifier: 0.0702 (0.0988) loss_box_reg: 0.0814 (0.1071) loss_objectness: 0.0178 (0.0348) loss_rpn_box_reg: 0.0146 (0.0200) loss_da_image: 0.6635 (0.6599) loss_da_instance: 0.6505 (0.6477) loss_da_consistency: 0.0069 (0.0081) time: 0.8336 (0.8366) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:28:19,349 maskrcnn_benchmark.trainer INFO: eta: 13:32:05 iter: 11760 loss: 1.4735 (1.5762) loss_classifier: 0.0662 (0.0988) loss_box_reg: 0.0615 (0.1070) loss_objectness: 0.0147 (0.0348) loss_rpn_box_reg: 0.0112 (0.0200) loss_da_image: 0.6609 (0.6599) loss_da_instance: 0.6540 (0.6477) loss_da_consistency: 0.0059 (0.0081) time: 0.8348 (0.8366) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:28:36,024 maskrcnn_benchmark.trainer INFO: eta: 13:31:48 iter: 11780 loss: 1.4927 (1.5761) loss_classifier: 0.0765 (0.0988) loss_box_reg: 0.0660 (0.1070) loss_objectness: 0.0138 (0.0347) loss_rpn_box_reg: 0.0114 (0.0199) loss_da_image: 0.6669 (0.6599) loss_da_instance: 0.6538 (0.6477) loss_da_consistency: 0.0068 (0.0081) time: 0.8336 (0.8366) data: 0.0648 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:28:52,690 maskrcnn_benchmark.trainer INFO: eta: 13:31:31 iter: 11800 loss: 1.4830 (1.5760) loss_classifier: 0.0697 (0.0987) loss_box_reg: 0.0524 (0.1069) loss_objectness: 0.0128 (0.0347) loss_rpn_box_reg: 0.0107 (0.0199) loss_da_image: 0.6691 (0.6599) loss_da_instance: 0.6547 (0.6477) loss_da_consistency: 0.0064 (0.0081) time: 0.8321 (0.8366) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:29:09,323 maskrcnn_benchmark.trainer INFO: eta: 13:31:14 iter: 11820 loss: 1.5196 (1.5760) loss_classifier: 0.0829 (0.0987) loss_box_reg: 0.0913 (0.1069) loss_objectness: 0.0143 (0.0347) loss_rpn_box_reg: 0.0131 (0.0199) loss_da_image: 0.6722 (0.6599) loss_da_instance: 0.6628 (0.6478) loss_da_consistency: 0.0066 (0.0081) time: 0.8307 (0.8366) data: 0.0637 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:29:25,947 maskrcnn_benchmark.trainer INFO: eta: 13:30:57 iter: 11840 loss: 1.4900 (1.5759) loss_classifier: 0.0482 (0.0987) loss_box_reg: 0.0691 (0.1068) loss_objectness: 0.0114 (0.0347) loss_rpn_box_reg: 0.0081 (0.0199) loss_da_image: 0.6746 (0.6600) loss_da_instance: 0.6550 (0.6478) loss_da_consistency: 0.0054 (0.0081) time: 0.8301 (0.8366) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:29:42,616 maskrcnn_benchmark.trainer INFO: eta: 13:30:40 iter: 11860 loss: 1.5553 (1.5759) loss_classifier: 0.0854 (0.0987) loss_box_reg: 0.0744 (0.1068) loss_objectness: 0.0218 (0.0346) loss_rpn_box_reg: 0.0134 (0.0199) loss_da_image: 0.6719 (0.6600) loss_da_instance: 0.6644 (0.6478) loss_da_consistency: 0.0071 (0.0081) time: 0.8328 (0.8366) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:29:59,288 maskrcnn_benchmark.trainer INFO: eta: 13:30:23 iter: 11880 loss: 1.5161 (1.5758) loss_classifier: 0.0619 (0.0986) loss_box_reg: 0.0599 (0.1068) loss_objectness: 0.0135 (0.0346) loss_rpn_box_reg: 0.0088 (0.0199) loss_da_image: 0.6720 (0.6600) loss_da_instance: 0.6593 (0.6478) loss_da_consistency: 0.0063 (0.0081) time: 0.8345 (0.8366) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:30:15,953 maskrcnn_benchmark.trainer INFO: eta: 13:30:06 iter: 11900 loss: 1.5045 (1.5757) loss_classifier: 0.0532 (0.0986) loss_box_reg: 0.0568 (0.1067) loss_objectness: 0.0123 (0.0346) loss_rpn_box_reg: 0.0124 (0.0199) loss_da_image: 0.6753 (0.6600) loss_da_instance: 0.6526 (0.6478) loss_da_consistency: 0.0059 (0.0081) time: 0.8314 (0.8366) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:30:32,674 maskrcnn_benchmark.trainer INFO: eta: 13:29:49 iter: 11920 loss: 1.5463 (1.5757) loss_classifier: 0.0735 (0.0985) loss_box_reg: 0.0792 (0.1067) loss_objectness: 0.0174 (0.0346) loss_rpn_box_reg: 0.0098 (0.0199) loss_da_image: 0.6712 (0.6601) loss_da_instance: 0.6598 (0.6479) loss_da_consistency: 0.0057 (0.0081) time: 0.8356 (0.8366) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:30:49,355 maskrcnn_benchmark.trainer INFO: eta: 13:29:32 iter: 11940 loss: 1.4885 (1.5756) loss_classifier: 0.0665 (0.0985) loss_box_reg: 0.0570 (0.1066) loss_objectness: 0.0121 (0.0345) loss_rpn_box_reg: 0.0077 (0.0199) loss_da_image: 0.6655 (0.6601) loss_da_instance: 0.6582 (0.6479) loss_da_consistency: 0.0055 (0.0081) time: 0.8335 (0.8366) data: 0.0628 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:31:06,100 maskrcnn_benchmark.trainer INFO: eta: 13:29:15 iter: 11960 loss: 1.5575 (1.5755) loss_classifier: 0.0862 (0.0984) loss_box_reg: 0.0813 (0.1066) loss_objectness: 0.0146 (0.0345) loss_rpn_box_reg: 0.0134 (0.0199) loss_da_image: 0.6676 (0.6601) loss_da_instance: 0.6659 (0.6479) loss_da_consistency: 0.0056 (0.0081) time: 0.8361 (0.8366) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:31:22,841 maskrcnn_benchmark.trainer INFO: eta: 13:28:59 iter: 11980 loss: 1.5137 (1.5755) loss_classifier: 0.0714 (0.0984) loss_box_reg: 0.0679 (0.1066) loss_objectness: 0.0144 (0.0345) loss_rpn_box_reg: 0.0111 (0.0199) loss_da_image: 0.6685 (0.6601) loss_da_instance: 0.6549 (0.6479) loss_da_consistency: 0.0064 (0.0081) time: 0.8375 (0.8366) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:31:39,542 maskrcnn_benchmark.trainer INFO: eta: 13:28:42 iter: 12000 loss: 1.5049 (1.5753) loss_classifier: 0.0597 (0.0984) loss_box_reg: 0.0691 (0.1065) loss_objectness: 0.0119 (0.0345) loss_rpn_box_reg: 0.0111 (0.0199) loss_da_image: 0.6747 (0.6601) loss_da_instance: 0.6538 (0.6479) loss_da_consistency: 0.0059 (0.0081) time: 0.8343 (0.8366) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:31:56,240 maskrcnn_benchmark.trainer INFO: eta: 13:28:25 iter: 12020 loss: 1.5039 (1.5753) loss_classifier: 0.0652 (0.0983) loss_box_reg: 0.0698 (0.1065) loss_objectness: 0.0136 (0.0344) loss_rpn_box_reg: 0.0134 (0.0198) loss_da_image: 0.6794 (0.6602) loss_da_instance: 0.6615 (0.6480) loss_da_consistency: 0.0064 (0.0081) time: 0.8333 (0.8366) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:32:12,964 maskrcnn_benchmark.trainer INFO: eta: 13:28:08 iter: 12040 loss: 1.5837 (1.5753) loss_classifier: 0.0767 (0.0983) loss_box_reg: 0.1055 (0.1065) loss_objectness: 0.0152 (0.0344) loss_rpn_box_reg: 0.0132 (0.0198) loss_da_image: 0.6736 (0.6602) loss_da_instance: 0.6582 (0.6480) loss_da_consistency: 0.0068 (0.0081) time: 0.8365 (0.8366) data: 0.0621 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:32:29,707 maskrcnn_benchmark.trainer INFO: eta: 13:27:51 iter: 12060 loss: 1.4971 (1.5752) loss_classifier: 0.0632 (0.0982) loss_box_reg: 0.0799 (0.1065) loss_objectness: 0.0114 (0.0344) loss_rpn_box_reg: 0.0097 (0.0198) loss_da_image: 0.6708 (0.6602) loss_da_instance: 0.6619 (0.6480) loss_da_consistency: 0.0058 (0.0081) time: 0.8372 (0.8366) data: 0.0662 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:32:46,387 maskrcnn_benchmark.trainer INFO: eta: 13:27:34 iter: 12080 loss: 1.5679 (1.5753) loss_classifier: 0.0762 (0.0982) loss_box_reg: 0.0947 (0.1065) loss_objectness: 0.0199 (0.0344) loss_rpn_box_reg: 0.0120 (0.0198) loss_da_image: 0.6697 (0.6602) loss_da_instance: 0.6571 (0.6480) loss_da_consistency: 0.0064 (0.0081) time: 0.8326 (0.8366) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:33:03,083 maskrcnn_benchmark.trainer INFO: eta: 13:27:18 iter: 12100 loss: 1.5570 (1.5753) loss_classifier: 0.0794 (0.0982) loss_box_reg: 0.0878 (0.1065) loss_objectness: 0.0187 (0.0344) loss_rpn_box_reg: 0.0120 (0.0198) loss_da_image: 0.6695 (0.6602) loss_da_instance: 0.6627 (0.6481) loss_da_consistency: 0.0072 (0.0081) time: 0.8349 (0.8366) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:33:19,858 maskrcnn_benchmark.trainer INFO: eta: 13:27:01 iter: 12120 loss: 1.5525 (1.5753) loss_classifier: 0.0889 (0.0982) loss_box_reg: 0.0721 (0.1065) loss_objectness: 0.0158 (0.0344) loss_rpn_box_reg: 0.0160 (0.0198) loss_da_image: 0.6678 (0.6602) loss_da_instance: 0.6615 (0.6481) loss_da_consistency: 0.0061 (0.0081) time: 0.8363 (0.8366) data: 0.0645 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:33:36,574 maskrcnn_benchmark.trainer INFO: eta: 13:26:44 iter: 12140 loss: 1.5503 (1.5753) loss_classifier: 0.0894 (0.0982) loss_box_reg: 0.0982 (0.1065) loss_objectness: 0.0167 (0.0343) loss_rpn_box_reg: 0.0082 (0.0198) loss_da_image: 0.6732 (0.6603) loss_da_instance: 0.6573 (0.6481) loss_da_consistency: 0.0066 (0.0081) time: 0.8355 (0.8366) data: 0.0653 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:33:53,225 maskrcnn_benchmark.trainer INFO: eta: 13:26:27 iter: 12160 loss: 1.5254 (1.5752) loss_classifier: 0.0640 (0.0982) loss_box_reg: 0.0616 (0.1064) loss_objectness: 0.0144 (0.0343) loss_rpn_box_reg: 0.0086 (0.0198) loss_da_image: 0.6714 (0.6603) loss_da_instance: 0.6662 (0.6481) loss_da_consistency: 0.0054 (0.0081) time: 0.8324 (0.8366) data: 0.0647 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:34:09,876 maskrcnn_benchmark.trainer INFO: eta: 13:26:10 iter: 12180 loss: 1.4611 (1.5751) loss_classifier: 0.0663 (0.0981) loss_box_reg: 0.0674 (0.1064) loss_objectness: 0.0095 (0.0343) loss_rpn_box_reg: 0.0070 (0.0198) loss_da_image: 0.6695 (0.6603) loss_da_instance: 0.6565 (0.6481) loss_da_consistency: 0.0059 (0.0080) time: 0.8323 (0.8366) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:34:26,607 maskrcnn_benchmark.trainer INFO: eta: 13:25:53 iter: 12200 loss: 1.5069 (1.5750) loss_classifier: 0.0581 (0.0981) loss_box_reg: 0.0814 (0.1064) loss_objectness: 0.0113 (0.0343) loss_rpn_box_reg: 0.0064 (0.0198) loss_da_image: 0.6751 (0.6603) loss_da_instance: 0.6510 (0.6482) loss_da_consistency: 0.0068 (0.0080) time: 0.8368 (0.8366) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:34:43,376 maskrcnn_benchmark.trainer INFO: eta: 13:25:37 iter: 12220 loss: 1.5627 (1.5750) loss_classifier: 0.0885 (0.0981) loss_box_reg: 0.1078 (0.1064) loss_objectness: 0.0168 (0.0342) loss_rpn_box_reg: 0.0201 (0.0198) loss_da_image: 0.6666 (0.6603) loss_da_instance: 0.6539 (0.6482) loss_da_consistency: 0.0064 (0.0080) time: 0.8365 (0.8366) data: 0.0636 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:35:00,134 maskrcnn_benchmark.trainer INFO: eta: 13:25:20 iter: 12240 loss: 1.4891 (1.5750) loss_classifier: 0.0583 (0.0980) loss_box_reg: 0.0536 (0.1063) loss_objectness: 0.0160 (0.0342) loss_rpn_box_reg: 0.0143 (0.0198) loss_da_image: 0.6738 (0.6604) loss_da_instance: 0.6645 (0.6482) loss_da_consistency: 0.0055 (0.0080) time: 0.8383 (0.8366) data: 0.0630 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:35:16,916 maskrcnn_benchmark.trainer INFO: eta: 13:25:04 iter: 12260 loss: 1.5462 (1.5750) loss_classifier: 0.0807 (0.0980) loss_box_reg: 0.0973 (0.1063) loss_objectness: 0.0144 (0.0342) loss_rpn_box_reg: 0.0118 (0.0198) loss_da_image: 0.6579 (0.6604) loss_da_instance: 0.6560 (0.6482) loss_da_consistency: 0.0066 (0.0080) time: 0.8396 (0.8366) data: 0.0641 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:35:33,648 maskrcnn_benchmark.trainer INFO: eta: 13:24:47 iter: 12280 loss: 1.5217 (1.5749) loss_classifier: 0.0784 (0.0980) loss_box_reg: 0.0599 (0.1063) loss_objectness: 0.0180 (0.0342) loss_rpn_box_reg: 0.0128 (0.0198) loss_da_image: 0.6660 (0.6604) loss_da_instance: 0.6590 (0.6482) loss_da_consistency: 0.0063 (0.0080) time: 0.8351 (0.8366) data: 0.0635 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:35:50,407 maskrcnn_benchmark.trainer INFO: eta: 13:24:30 iter: 12300 loss: 1.4846 (1.5749) loss_classifier: 0.0460 (0.0980) loss_box_reg: 0.0742 (0.1063) loss_objectness: 0.0079 (0.0342) loss_rpn_box_reg: 0.0061 (0.0198) loss_da_image: 0.6814 (0.6604) loss_da_instance: 0.6603 (0.6483) loss_da_consistency: 0.0068 (0.0080) time: 0.8385 (0.8366) data: 0.0628 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:36:07,176 maskrcnn_benchmark.trainer INFO: eta: 13:24:14 iter: 12320 loss: 1.5083 (1.5748) loss_classifier: 0.0652 (0.0979) loss_box_reg: 0.0929 (0.1063) loss_objectness: 0.0138 (0.0341) loss_rpn_box_reg: 0.0102 (0.0198) loss_da_image: 0.6796 (0.6604) loss_da_instance: 0.6635 (0.6483) loss_da_consistency: 0.0069 (0.0080) time: 0.8376 (0.8366) data: 0.0651 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:36:23,926 maskrcnn_benchmark.trainer INFO: eta: 13:23:57 iter: 12340 loss: 1.5156 (1.5748) loss_classifier: 0.0656 (0.0979) loss_box_reg: 0.0692 (0.1062) loss_objectness: 0.0134 (0.0341) loss_rpn_box_reg: 0.0121 (0.0198) loss_da_image: 0.6696 (0.6605) loss_da_instance: 0.6657 (0.6483) loss_da_consistency: 0.0061 (0.0080) time: 0.8388 (0.8366) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:36:40,667 maskrcnn_benchmark.trainer INFO: eta: 13:23:40 iter: 12360 loss: 1.4756 (1.5747) loss_classifier: 0.0647 (0.0978) loss_box_reg: 0.0747 (0.1062) loss_objectness: 0.0093 (0.0341) loss_rpn_box_reg: 0.0094 (0.0198) loss_da_image: 0.6706 (0.6605) loss_da_instance: 0.6603 (0.6483) loss_da_consistency: 0.0063 (0.0080) time: 0.8371 (0.8366) data: 0.0634 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:36:57,449 maskrcnn_benchmark.trainer INFO: eta: 13:23:24 iter: 12380 loss: 1.5257 (1.5747) loss_classifier: 0.0811 (0.0978) loss_box_reg: 0.0803 (0.1062) loss_objectness: 0.0171 (0.0341) loss_rpn_box_reg: 0.0118 (0.0198) loss_da_image: 0.6580 (0.6605) loss_da_instance: 0.6656 (0.6484) loss_da_consistency: 0.0070 (0.0080) time: 0.8392 (0.8366) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:37:14,207 maskrcnn_benchmark.trainer INFO: eta: 13:23:07 iter: 12400 loss: 1.5353 (1.5745) loss_classifier: 0.0526 (0.0978) loss_box_reg: 0.0804 (0.1062) loss_objectness: 0.0155 (0.0340) loss_rpn_box_reg: 0.0067 (0.0198) loss_da_image: 0.6246 (0.6604) loss_da_instance: 0.6548 (0.6484) loss_da_consistency: 0.0075 (0.0080) time: 0.8377 (0.8366) data: 0.0639 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:37:30,968 maskrcnn_benchmark.trainer INFO: eta: 13:22:51 iter: 12420 loss: 1.4879 (1.5745) loss_classifier: 0.0456 (0.0977) loss_box_reg: 0.0552 (0.1062) loss_objectness: 0.0162 (0.0340) loss_rpn_box_reg: 0.0094 (0.0198) loss_da_image: 0.6440 (0.6604) loss_da_instance: 0.6698 (0.6484) loss_da_consistency: 0.0073 (0.0080) time: 0.8365 (0.8366) data: 0.0624 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:37:47,725 maskrcnn_benchmark.trainer INFO: eta: 13:22:34 iter: 12440 loss: 1.4693 (1.5744) loss_classifier: 0.0720 (0.0977) loss_box_reg: 0.0851 (0.1061) loss_objectness: 0.0118 (0.0340) loss_rpn_box_reg: 0.0079 (0.0197) loss_da_image: 0.6418 (0.6604) loss_da_instance: 0.6472 (0.6484) loss_da_consistency: 0.0075 (0.0080) time: 0.8387 (0.8366) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:38:04,505 maskrcnn_benchmark.trainer INFO: eta: 13:22:18 iter: 12460 loss: 1.4767 (1.5742) loss_classifier: 0.0678 (0.0977) loss_box_reg: 0.0609 (0.1061) loss_objectness: 0.0162 (0.0340) loss_rpn_box_reg: 0.0143 (0.0197) loss_da_image: 0.6437 (0.6603) loss_da_instance: 0.6619 (0.6484) loss_da_consistency: 0.0064 (0.0080) time: 0.8390 (0.8366) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:38:21,268 maskrcnn_benchmark.trainer INFO: eta: 13:22:01 iter: 12480 loss: 1.5526 (1.5742) loss_classifier: 0.0791 (0.0977) loss_box_reg: 0.0693 (0.1061) loss_objectness: 0.0189 (0.0340) loss_rpn_box_reg: 0.0097 (0.0197) loss_da_image: 0.6541 (0.6603) loss_da_instance: 0.6685 (0.6485) loss_da_consistency: 0.0062 (0.0080) time: 0.8385 (0.8366) data: 0.0626 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:38:38,007 maskrcnn_benchmark.trainer INFO: eta: 13:21:44 iter: 12500 loss: 1.4790 (1.5741) loss_classifier: 0.0554 (0.0976) loss_box_reg: 0.0499 (0.1060) loss_objectness: 0.0109 (0.0339) loss_rpn_box_reg: 0.0075 (0.0197) loss_da_image: 0.6650 (0.6603) loss_da_instance: 0.6662 (0.6485) loss_da_consistency: 0.0069 (0.0080) time: 0.8369 (0.8366) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:38:38,009 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0012500.pth
2019-10-25 16:38:54,905 maskrcnn_benchmark.trainer INFO: eta: 13:21:28 iter: 12520 loss: 1.4724 (1.5741) loss_classifier: 0.0686 (0.0976) loss_box_reg: 0.0688 (0.1060) loss_objectness: 0.0129 (0.0339) loss_rpn_box_reg: 0.0064 (0.0197) loss_da_image: 0.6538 (0.6603) loss_da_instance: 0.6609 (0.6485) loss_da_consistency: 0.0068 (0.0080) time: 0.8353 (0.8366) data: 0.0649 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:39:11,649 maskrcnn_benchmark.trainer INFO: eta: 13:21:12 iter: 12540 loss: 1.5441 (1.5740) loss_classifier: 0.0721 (0.0975) loss_box_reg: 0.0664 (0.1060) loss_objectness: 0.0148 (0.0339) loss_rpn_box_reg: 0.0077 (0.0197) loss_da_image: 0.6744 (0.6603) loss_da_instance: 0.6706 (0.6485) loss_da_consistency: 0.0057 (0.0080) time: 0.8378 (0.8366) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:39:28,376 maskrcnn_benchmark.trainer INFO: eta: 13:20:55 iter: 12560 loss: 1.4801 (1.5739) loss_classifier: 0.0671 (0.0975) loss_box_reg: 0.0595 (0.1059) loss_objectness: 0.0144 (0.0339) loss_rpn_box_reg: 0.0094 (0.0197) loss_da_image: 0.6713 (0.6604) loss_da_instance: 0.6665 (0.6486) loss_da_consistency: 0.0064 (0.0080) time: 0.8352 (0.8366) data: 0.0631 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:39:45,138 maskrcnn_benchmark.trainer INFO: eta: 13:20:38 iter: 12580 loss: 1.4678 (1.5738) loss_classifier: 0.0736 (0.0975) loss_box_reg: 0.0485 (0.1059) loss_objectness: 0.0155 (0.0338) loss_rpn_box_reg: 0.0123 (0.0197) loss_da_image: 0.6693 (0.6604) loss_da_instance: 0.6442 (0.6486) loss_da_consistency: 0.0070 (0.0080) time: 0.8365 (0.8366) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:40:01,866 maskrcnn_benchmark.trainer INFO: eta: 13:20:21 iter: 12600 loss: 1.5072 (1.5737) loss_classifier: 0.0547 (0.0974) loss_box_reg: 0.0799 (0.1058) loss_objectness: 0.0204 (0.0338) loss_rpn_box_reg: 0.0106 (0.0197) loss_da_image: 0.6746 (0.6604) loss_da_instance: 0.6641 (0.6486) loss_da_consistency: 0.0060 (0.0080) time: 0.8372 (0.8366) data: 0.0632 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:40:18,589 maskrcnn_benchmark.trainer INFO: eta: 13:20:05 iter: 12620 loss: 1.5076 (1.5737) loss_classifier: 0.0792 (0.0974) loss_box_reg: 0.0737 (0.1058) loss_objectness: 0.0137 (0.0338) loss_rpn_box_reg: 0.0134 (0.0197) loss_da_image: 0.6736 (0.6604) loss_da_instance: 0.6532 (0.6486) loss_da_consistency: 0.0064 (0.0080) time: 0.8362 (0.8366) data: 0.0633 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:40:35,275 maskrcnn_benchmark.trainer INFO: eta: 13:19:48 iter: 12640 loss: 1.5649 (1.5737) loss_classifier: 0.0905 (0.0974) loss_box_reg: 0.1091 (0.1058) loss_objectness: 0.0200 (0.0338) loss_rpn_box_reg: 0.0162 (0.0197) loss_da_image: 0.6675 (0.6604) loss_da_instance: 0.6602 (0.6486) loss_da_consistency: 0.0064 (0.0080) time: 0.8324 (0.8366) data: 0.0643 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:40:51,970 maskrcnn_benchmark.trainer INFO: eta: 13:19:31 iter: 12660 loss: 1.5466 (1.5737) loss_classifier: 0.0840 (0.0974) loss_box_reg: 0.0927 (0.1058) loss_objectness: 0.0134 (0.0338) loss_rpn_box_reg: 0.0085 (0.0197) loss_da_image: 0.6700 (0.6604) loss_da_instance: 0.6617 (0.6487) loss_da_consistency: 0.0060 (0.0080) time: 0.8336 (0.8366) data: 0.0627 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:41:08,711 maskrcnn_benchmark.trainer INFO: eta: 13:19:14 iter: 12680 loss: 1.5167 (1.5737) loss_classifier: 0.0974 (0.0974) loss_box_reg: 0.0834 (0.1058) loss_objectness: 0.0080 (0.0337) loss_rpn_box_reg: 0.0144 (0.0197) loss_da_image: 0.6798 (0.6605) loss_da_instance: 0.6636 (0.6487) loss_da_consistency: 0.0065 (0.0080) time: 0.8379 (0.8366) data: 0.0644 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:41:25,438 maskrcnn_benchmark.trainer INFO: eta: 13:18:57 iter: 12700 loss: 1.5212 (1.5736) loss_classifier: 0.0734 (0.0973) loss_box_reg: 0.0756 (0.1057) loss_objectness: 0.0143 (0.0337) loss_rpn_box_reg: 0.0102 (0.0197) loss_da_image: 0.6775 (0.6605) loss_da_instance: 0.6562 (0.6487) loss_da_consistency: 0.0070 (0.0080) time: 0.8371 (0.8366) data: 0.0638 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:41:42,182 maskrcnn_benchmark.trainer INFO: eta: 13:18:41 iter: 12720 loss: 1.5056 (1.5735) loss_classifier: 0.0687 (0.0973) loss_box_reg: 0.0799 (0.1057) loss_objectness: 0.0120 (0.0337) loss_rpn_box_reg: 0.0092 (0.0196) loss_da_image: 0.6691 (0.6605) loss_da_instance: 0.6653 (0.6487) loss_da_consistency: 0.0051 (0.0080) time: 0.8370 (0.8366) data: 0.0642 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:41:58,933 maskrcnn_benchmark.trainer INFO: eta: 13:18:24 iter: 12740 loss: 1.5345 (1.5735) loss_classifier: 0.0738 (0.0973) loss_box_reg: 0.0898 (0.1057) loss_objectness: 0.0137 (0.0337) loss_rpn_box_reg: 0.0086 (0.0196) loss_da_image: 0.6756 (0.6605) loss_da_instance: 0.6578 (0.6487) loss_da_consistency: 0.0061 (0.0080) time: 0.8381 (0.8366) data: 0.0629 (0.0644) lr: 0.001000 max mem: 4018
2019-10-25 16:42:15,642 maskrcnn_benchmark.trainer INFO: eta: 13:18:07 iter: 12760 loss: 1.4666 (1.5734) loss_classifier: 0.0431 (0.0972) loss_box_reg: 0.0431 (0.1056) loss_objectness: 0.0039 (0.0336) loss_rpn_box_reg: 0.0042 (0.0196) loss_da_image: 0.6771 (0.6606) loss_da_instance: 0.6723 (0.6488) loss_da_consistency: 0.0061 (0.0080) time: 0.8356 (0.8366) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:42:32,386 maskrcnn_benchmark.trainer INFO: eta: 13:17:51 iter: 12780 loss: 1.5319 (1.5734) loss_classifier: 0.0886 (0.0972) loss_box_reg: 0.0922 (0.1056) loss_objectness: 0.0159 (0.0336) loss_rpn_box_reg: 0.0134 (0.0196) loss_da_image: 0.6620 (0.6606) loss_da_instance: 0.6567 (0.6488) loss_da_consistency: 0.0070 (0.0080) time: 0.8371 (0.8366) data: 0.0647 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:42:49,109 maskrcnn_benchmark.trainer INFO: eta: 13:17:34 iter: 12800 loss: 1.5378 (1.5734) loss_classifier: 0.0867 (0.0972) loss_box_reg: 0.1267 (0.1057) loss_objectness: 0.0175 (0.0336) loss_rpn_box_reg: 0.0138 (0.0196) loss_da_image: 0.6583 (0.6606) loss_da_instance: 0.6588 (0.6488) loss_da_consistency: 0.0064 (0.0080) time: 0.8356 (0.8366) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:43:05,820 maskrcnn_benchmark.trainer INFO: eta: 13:17:17 iter: 12820 loss: 1.5142 (1.5734) loss_classifier: 0.0622 (0.0972) loss_box_reg: 0.0818 (0.1057) loss_objectness: 0.0131 (0.0336) loss_rpn_box_reg: 0.0081 (0.0196) loss_da_image: 0.6643 (0.6606) loss_da_instance: 0.6588 (0.6488) loss_da_consistency: 0.0059 (0.0080) time: 0.8349 (0.8366) data: 0.0624 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:43:22,540 maskrcnn_benchmark.trainer INFO: eta: 13:17:00 iter: 12840 loss: 1.4584 (1.5733) loss_classifier: 0.0401 (0.0972) loss_box_reg: 0.0616 (0.1056) loss_objectness: 0.0073 (0.0335) loss_rpn_box_reg: 0.0057 (0.0196) loss_da_image: 0.6751 (0.6606) loss_da_instance: 0.6580 (0.6488) loss_da_consistency: 0.0048 (0.0080) time: 0.8357 (0.8366) data: 0.0647 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:43:39,287 maskrcnn_benchmark.trainer INFO: eta: 13:16:44 iter: 12860 loss: 1.5470 (1.5733) loss_classifier: 0.0678 (0.0971) loss_box_reg: 0.0852 (0.1056) loss_objectness: 0.0143 (0.0335) loss_rpn_box_reg: 0.0165 (0.0196) loss_da_image: 0.6729 (0.6606) loss_da_instance: 0.6570 (0.6489) loss_da_consistency: 0.0060 (0.0080) time: 0.8380 (0.8366) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:43:56,014 maskrcnn_benchmark.trainer INFO: eta: 13:16:27 iter: 12880 loss: 1.4559 (1.5732) loss_classifier: 0.0571 (0.0971) loss_box_reg: 0.0386 (0.1055) loss_objectness: 0.0145 (0.0335) loss_rpn_box_reg: 0.0076 (0.0196) loss_da_image: 0.6736 (0.6606) loss_da_instance: 0.6625 (0.6489) loss_da_consistency: 0.0057 (0.0080) time: 0.8356 (0.8366) data: 0.0643 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:44:12,768 maskrcnn_benchmark.trainer INFO: eta: 13:16:10 iter: 12900 loss: 1.5092 (1.5731) loss_classifier: 0.0515 (0.0971) loss_box_reg: 0.0638 (0.1055) loss_objectness: 0.0157 (0.0335) loss_rpn_box_reg: 0.0068 (0.0196) loss_da_image: 0.6732 (0.6607) loss_da_instance: 0.6610 (0.6489) loss_da_consistency: 0.0066 (0.0080) time: 0.8374 (0.8366) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:44:29,572 maskrcnn_benchmark.trainer INFO: eta: 13:15:54 iter: 12920 loss: 1.5360 (1.5731) loss_classifier: 0.0756 (0.0970) loss_box_reg: 0.0817 (0.1055) loss_objectness: 0.0139 (0.0334) loss_rpn_box_reg: 0.0110 (0.0196) loss_da_image: 0.6753 (0.6607) loss_da_instance: 0.6640 (0.6489) loss_da_consistency: 0.0065 (0.0080) time: 0.8400 (0.8366) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:44:46,291 maskrcnn_benchmark.trainer INFO: eta: 13:15:37 iter: 12940 loss: 1.4577 (1.5730) loss_classifier: 0.0366 (0.0970) loss_box_reg: 0.0604 (0.1054) loss_objectness: 0.0085 (0.0334) loss_rpn_box_reg: 0.0073 (0.0195) loss_da_image: 0.6766 (0.6607) loss_da_instance: 0.6583 (0.6490) loss_da_consistency: 0.0071 (0.0080) time: 0.8362 (0.8366) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:45:03,017 maskrcnn_benchmark.trainer INFO: eta: 13:15:20 iter: 12960 loss: 1.5454 (1.5730) loss_classifier: 0.0625 (0.0970) loss_box_reg: 0.0894 (0.1054) loss_objectness: 0.0137 (0.0334) loss_rpn_box_reg: 0.0096 (0.0195) loss_da_image: 0.6733 (0.6607) loss_da_instance: 0.6617 (0.6490) loss_da_consistency: 0.0055 (0.0080) time: 0.8349 (0.8366) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:45:19,764 maskrcnn_benchmark.trainer INFO: eta: 13:15:03 iter: 12980 loss: 1.4513 (1.5728) loss_classifier: 0.0409 (0.0969) loss_box_reg: 0.0510 (0.1053) loss_objectness: 0.0056 (0.0334) loss_rpn_box_reg: 0.0053 (0.0195) loss_da_image: 0.6802 (0.6608) loss_da_instance: 0.6617 (0.6490) loss_da_consistency: 0.0055 (0.0080) time: 0.8359 (0.8366) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:45:36,510 maskrcnn_benchmark.trainer INFO: eta: 13:14:47 iter: 13000 loss: 1.5103 (1.5727) loss_classifier: 0.0574 (0.0969) loss_box_reg: 0.0583 (0.1053) loss_objectness: 0.0090 (0.0333) loss_rpn_box_reg: 0.0085 (0.0195) loss_da_image: 0.6741 (0.6608) loss_da_instance: 0.6584 (0.6490) loss_da_consistency: 0.0074 (0.0080) time: 0.8359 (0.8366) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:45:53,250 maskrcnn_benchmark.trainer INFO: eta: 13:14:30 iter: 13020 loss: 1.4816 (1.5726) loss_classifier: 0.0697 (0.0968) loss_box_reg: 0.0592 (0.1052) loss_objectness: 0.0131 (0.0333) loss_rpn_box_reg: 0.0101 (0.0195) loss_da_image: 0.6781 (0.6608) loss_da_instance: 0.6561 (0.6490) loss_da_consistency: 0.0058 (0.0079) time: 0.8370 (0.8366) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:46:09,999 maskrcnn_benchmark.trainer INFO: eta: 13:14:13 iter: 13040 loss: 1.4842 (1.5726) loss_classifier: 0.0683 (0.0968) loss_box_reg: 0.0771 (0.1052) loss_objectness: 0.0119 (0.0333) loss_rpn_box_reg: 0.0098 (0.0195) loss_da_image: 0.6769 (0.6608) loss_da_instance: 0.6520 (0.6490) loss_da_consistency: 0.0066 (0.0079) time: 0.8367 (0.8366) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:46:26,723 maskrcnn_benchmark.trainer INFO: eta: 13:13:57 iter: 13060 loss: 1.5422 (1.5726) loss_classifier: 0.0689 (0.0967) loss_box_reg: 0.0737 (0.1052) loss_objectness: 0.0202 (0.0333) loss_rpn_box_reg: 0.0116 (0.0195) loss_da_image: 0.6763 (0.6609) loss_da_instance: 0.6621 (0.6491) loss_da_consistency: 0.0069 (0.0079) time: 0.8361 (0.8366) data: 0.0623 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:46:43,415 maskrcnn_benchmark.trainer INFO: eta: 13:13:40 iter: 13080 loss: 1.5390 (1.5725) loss_classifier: 0.0788 (0.0967) loss_box_reg: 0.0674 (0.1051) loss_objectness: 0.0153 (0.0333) loss_rpn_box_reg: 0.0114 (0.0195) loss_da_image: 0.6692 (0.6609) loss_da_instance: 0.6590 (0.6491) loss_da_consistency: 0.0071 (0.0079) time: 0.8354 (0.8366) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:47:00,131 maskrcnn_benchmark.trainer INFO: eta: 13:13:23 iter: 13100 loss: 1.5065 (1.5725) loss_classifier: 0.0737 (0.0967) loss_box_reg: 0.0920 (0.1051) loss_objectness: 0.0176 (0.0333) loss_rpn_box_reg: 0.0109 (0.0195) loss_da_image: 0.6739 (0.6609) loss_da_instance: 0.6595 (0.6491) loss_da_consistency: 0.0051 (0.0079) time: 0.8367 (0.8366) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:47:16,845 maskrcnn_benchmark.trainer INFO: eta: 13:13:06 iter: 13120 loss: 1.5603 (1.5724) loss_classifier: 0.0755 (0.0966) loss_box_reg: 0.0944 (0.1051) loss_objectness: 0.0153 (0.0333) loss_rpn_box_reg: 0.0156 (0.0195) loss_da_image: 0.6755 (0.6609) loss_da_instance: 0.6639 (0.6491) loss_da_consistency: 0.0057 (0.0079) time: 0.8348 (0.8366) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:47:33,585 maskrcnn_benchmark.trainer INFO: eta: 13:12:49 iter: 13140 loss: 1.5131 (1.5724) loss_classifier: 0.0732 (0.0966) loss_box_reg: 0.0566 (0.1051) loss_objectness: 0.0154 (0.0332) loss_rpn_box_reg: 0.0156 (0.0195) loss_da_image: 0.6676 (0.6609) loss_da_instance: 0.6673 (0.6491) loss_da_consistency: 0.0064 (0.0079) time: 0.8378 (0.8366) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:47:50,321 maskrcnn_benchmark.trainer INFO: eta: 13:12:33 iter: 13160 loss: 1.5089 (1.5723) loss_classifier: 0.0636 (0.0966) loss_box_reg: 0.0870 (0.1050) loss_objectness: 0.0156 (0.0332) loss_rpn_box_reg: 0.0090 (0.0195) loss_da_image: 0.6693 (0.6609) loss_da_instance: 0.6607 (0.6492) loss_da_consistency: 0.0057 (0.0079) time: 0.8364 (0.8366) data: 0.0615 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:48:07,047 maskrcnn_benchmark.trainer INFO: eta: 13:12:16 iter: 13180 loss: 1.5963 (1.5725) loss_classifier: 0.0933 (0.0966) loss_box_reg: 0.1156 (0.1051) loss_objectness: 0.0155 (0.0332) loss_rpn_box_reg: 0.0158 (0.0195) loss_da_image: 0.6759 (0.6610) loss_da_instance: 0.6573 (0.6492) loss_da_consistency: 0.0064 (0.0079) time: 0.8371 (0.8366) data: 0.0625 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:48:23,767 maskrcnn_benchmark.trainer INFO: eta: 13:11:59 iter: 13200 loss: 1.5461 (1.5724) loss_classifier: 0.0797 (0.0966) loss_box_reg: 0.0800 (0.1051) loss_objectness: 0.0151 (0.0332) loss_rpn_box_reg: 0.0101 (0.0195) loss_da_image: 0.6715 (0.6610) loss_da_instance: 0.6557 (0.6492) loss_da_consistency: 0.0069 (0.0079) time: 0.8351 (0.8366) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:48:40,435 maskrcnn_benchmark.trainer INFO: eta: 13:11:42 iter: 13220 loss: 1.4494 (1.5724) loss_classifier: 0.0418 (0.0965) loss_box_reg: 0.0583 (0.1050) loss_objectness: 0.0090 (0.0332) loss_rpn_box_reg: 0.0073 (0.0195) loss_da_image: 0.6825 (0.6610) loss_da_instance: 0.6745 (0.6492) loss_da_consistency: 0.0059 (0.0079) time: 0.8339 (0.8366) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:48:57,129 maskrcnn_benchmark.trainer INFO: eta: 13:11:25 iter: 13240 loss: 1.4922 (1.5724) loss_classifier: 0.0679 (0.0965) loss_box_reg: 0.0538 (0.1050) loss_objectness: 0.0167 (0.0332) loss_rpn_box_reg: 0.0075 (0.0195) loss_da_image: 0.6697 (0.6610) loss_da_instance: 0.6699 (0.6493) loss_da_consistency: 0.0048 (0.0079) time: 0.8335 (0.8366) data: 0.0618 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:49:13,892 maskrcnn_benchmark.trainer INFO: eta: 13:11:09 iter: 13260 loss: 1.6167 (1.5724) loss_classifier: 0.1065 (0.0965) loss_box_reg: 0.0909 (0.1050) loss_objectness: 0.0168 (0.0332) loss_rpn_box_reg: 0.0170 (0.0195) loss_da_image: 0.6753 (0.6610) loss_da_instance: 0.6594 (0.6493) loss_da_consistency: 0.0064 (0.0079) time: 0.8374 (0.8366) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:49:30,641 maskrcnn_benchmark.trainer INFO: eta: 13:10:52 iter: 13280 loss: 1.5295 (1.5723) loss_classifier: 0.0781 (0.0965) loss_box_reg: 0.0857 (0.1049) loss_objectness: 0.0119 (0.0332) loss_rpn_box_reg: 0.0128 (0.0195) loss_da_image: 0.6727 (0.6611) loss_da_instance: 0.6513 (0.6493) loss_da_consistency: 0.0064 (0.0079) time: 0.8363 (0.8366) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:49:47,369 maskrcnn_benchmark.trainer INFO: eta: 13:10:35 iter: 13300 loss: 1.5276 (1.5723) loss_classifier: 0.0760 (0.0965) loss_box_reg: 0.0876 (0.1049) loss_objectness: 0.0213 (0.0331) loss_rpn_box_reg: 0.0091 (0.0195) loss_da_image: 0.6734 (0.6611) loss_da_instance: 0.6535 (0.6493) loss_da_consistency: 0.0062 (0.0079) time: 0.8357 (0.8366) data: 0.0638 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:50:04,091 maskrcnn_benchmark.trainer INFO: eta: 13:10:19 iter: 13320 loss: 1.5577 (1.5723) loss_classifier: 0.0849 (0.0965) loss_box_reg: 0.0988 (0.1049) loss_objectness: 0.0188 (0.0331) loss_rpn_box_reg: 0.0130 (0.0195) loss_da_image: 0.6765 (0.6611) loss_da_instance: 0.6497 (0.6493) loss_da_consistency: 0.0060 (0.0079) time: 0.8336 (0.8366) data: 0.0645 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:50:20,795 maskrcnn_benchmark.trainer INFO: eta: 13:10:02 iter: 13340 loss: 1.4980 (1.5722) loss_classifier: 0.0640 (0.0964) loss_box_reg: 0.0736 (0.1049) loss_objectness: 0.0107 (0.0331) loss_rpn_box_reg: 0.0056 (0.0195) loss_da_image: 0.6754 (0.6611) loss_da_instance: 0.6561 (0.6493) loss_da_consistency: 0.0053 (0.0079) time: 0.8336 (0.8366) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:50:37,433 maskrcnn_benchmark.trainer INFO: eta: 13:09:45 iter: 13360 loss: 1.4736 (1.5721) loss_classifier: 0.0539 (0.0964) loss_box_reg: 0.0592 (0.1048) loss_objectness: 0.0126 (0.0331) loss_rpn_box_reg: 0.0072 (0.0195) loss_da_image: 0.6699 (0.6611) loss_da_instance: 0.6479 (0.6493) loss_da_consistency: 0.0061 (0.0079) time: 0.8301 (0.8366) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:50:54,163 maskrcnn_benchmark.trainer INFO: eta: 13:09:28 iter: 13380 loss: 1.4875 (1.5721) loss_classifier: 0.0629 (0.0964) loss_box_reg: 0.0728 (0.1048) loss_objectness: 0.0184 (0.0331) loss_rpn_box_reg: 0.0098 (0.0195) loss_da_image: 0.6599 (0.6611) loss_da_instance: 0.6650 (0.6493) loss_da_consistency: 0.0069 (0.0079) time: 0.8361 (0.8366) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:51:10,893 maskrcnn_benchmark.trainer INFO: eta: 13:09:11 iter: 13400 loss: 1.5149 (1.5720) loss_classifier: 0.0679 (0.0963) loss_box_reg: 0.0862 (0.1048) loss_objectness: 0.0162 (0.0331) loss_rpn_box_reg: 0.0103 (0.0195) loss_da_image: 0.6731 (0.6611) loss_da_instance: 0.6625 (0.6494) loss_da_consistency: 0.0062 (0.0079) time: 0.8344 (0.8366) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:51:27,597 maskrcnn_benchmark.trainer INFO: eta: 13:08:54 iter: 13420 loss: 1.4709 (1.5719) loss_classifier: 0.0310 (0.0963) loss_box_reg: 0.0575 (0.1047) loss_objectness: 0.0111 (0.0330) loss_rpn_box_reg: 0.0043 (0.0194) loss_da_image: 0.6802 (0.6612) loss_da_instance: 0.6692 (0.6494) loss_da_consistency: 0.0051 (0.0079) time: 0.8343 (0.8366) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:51:44,302 maskrcnn_benchmark.trainer INFO: eta: 13:08:37 iter: 13440 loss: 1.4847 (1.5719) loss_classifier: 0.0749 (0.0962) loss_box_reg: 0.0657 (0.1047) loss_objectness: 0.0149 (0.0330) loss_rpn_box_reg: 0.0074 (0.0194) loss_da_image: 0.6635 (0.6612) loss_da_instance: 0.6643 (0.6494) loss_da_consistency: 0.0063 (0.0079) time: 0.8353 (0.8366) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:52:01,030 maskrcnn_benchmark.trainer INFO: eta: 13:08:21 iter: 13460 loss: 1.4704 (1.5718) loss_classifier: 0.0672 (0.0962) loss_box_reg: 0.0461 (0.1046) loss_objectness: 0.0165 (0.0330) loss_rpn_box_reg: 0.0060 (0.0194) loss_da_image: 0.6730 (0.6612) loss_da_instance: 0.6676 (0.6494) loss_da_consistency: 0.0056 (0.0079) time: 0.8359 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:52:17,778 maskrcnn_benchmark.trainer INFO: eta: 13:08:04 iter: 13480 loss: 1.4697 (1.5716) loss_classifier: 0.0632 (0.0962) loss_box_reg: 0.0594 (0.1045) loss_objectness: 0.0160 (0.0330) loss_rpn_box_reg: 0.0107 (0.0194) loss_da_image: 0.6716 (0.6612) loss_da_instance: 0.6537 (0.6495) loss_da_consistency: 0.0060 (0.0079) time: 0.8370 (0.8366) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:52:34,503 maskrcnn_benchmark.trainer INFO: eta: 13:07:47 iter: 13500 loss: 1.4809 (1.5715) loss_classifier: 0.0512 (0.0961) loss_box_reg: 0.0505 (0.1045) loss_objectness: 0.0088 (0.0329) loss_rpn_box_reg: 0.0092 (0.0194) loss_da_image: 0.6733 (0.6612) loss_da_instance: 0.6595 (0.6495) loss_da_consistency: 0.0058 (0.0079) time: 0.8367 (0.8366) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:52:51,250 maskrcnn_benchmark.trainer INFO: eta: 13:07:31 iter: 13520 loss: 1.4743 (1.5714) loss_classifier: 0.0506 (0.0961) loss_box_reg: 0.0599 (0.1044) loss_objectness: 0.0128 (0.0329) loss_rpn_box_reg: 0.0053 (0.0194) loss_da_image: 0.6721 (0.6613) loss_da_instance: 0.6447 (0.6495) loss_da_consistency: 0.0059 (0.0079) time: 0.8372 (0.8366) data: 0.0646 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:53:08,012 maskrcnn_benchmark.trainer INFO: eta: 13:07:14 iter: 13540 loss: 1.4879 (1.5714) loss_classifier: 0.0624 (0.0960) loss_box_reg: 0.0603 (0.1044) loss_objectness: 0.0121 (0.0329) loss_rpn_box_reg: 0.0088 (0.0194) loss_da_image: 0.6759 (0.6613) loss_da_instance: 0.6670 (0.6495) loss_da_consistency: 0.0053 (0.0079) time: 0.8382 (0.8366) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:53:24,740 maskrcnn_benchmark.trainer INFO: eta: 13:06:57 iter: 13560 loss: 1.4854 (1.5713) loss_classifier: 0.0602 (0.0960) loss_box_reg: 0.0903 (0.1044) loss_objectness: 0.0096 (0.0329) loss_rpn_box_reg: 0.0080 (0.0194) loss_da_image: 0.6665 (0.6613) loss_da_instance: 0.6535 (0.6495) loss_da_consistency: 0.0059 (0.0079) time: 0.8346 (0.8366) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:53:41,442 maskrcnn_benchmark.trainer INFO: eta: 13:06:40 iter: 13580 loss: 1.5231 (1.5713) loss_classifier: 0.0685 (0.0960) loss_box_reg: 0.0850 (0.1043) loss_objectness: 0.0114 (0.0329) loss_rpn_box_reg: 0.0097 (0.0194) loss_da_image: 0.6674 (0.6613) loss_da_instance: 0.6626 (0.6495) loss_da_consistency: 0.0059 (0.0079) time: 0.8345 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:53:58,185 maskrcnn_benchmark.trainer INFO: eta: 13:06:24 iter: 13600 loss: 1.4940 (1.5712) loss_classifier: 0.0622 (0.0960) loss_box_reg: 0.0576 (0.1043) loss_objectness: 0.0163 (0.0329) loss_rpn_box_reg: 0.0085 (0.0194) loss_da_image: 0.6693 (0.6613) loss_da_instance: 0.6657 (0.6496) loss_da_consistency: 0.0047 (0.0079) time: 0.8358 (0.8366) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:54:14,887 maskrcnn_benchmark.trainer INFO: eta: 13:06:07 iter: 13620 loss: 1.5545 (1.5712) loss_classifier: 0.0702 (0.0959) loss_box_reg: 0.0922 (0.1043) loss_objectness: 0.0156 (0.0328) loss_rpn_box_reg: 0.0099 (0.0194) loss_da_image: 0.6759 (0.6613) loss_da_instance: 0.6579 (0.6496) loss_da_consistency: 0.0051 (0.0079) time: 0.8341 (0.8366) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:54:31,632 maskrcnn_benchmark.trainer INFO: eta: 13:05:50 iter: 13640 loss: 1.5065 (1.5712) loss_classifier: 0.0594 (0.0959) loss_box_reg: 0.0685 (0.1043) loss_objectness: 0.0168 (0.0328) loss_rpn_box_reg: 0.0081 (0.0193) loss_da_image: 0.6815 (0.6614) loss_da_instance: 0.6604 (0.6496) loss_da_consistency: 0.0054 (0.0079) time: 0.8390 (0.8366) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:54:48,334 maskrcnn_benchmark.trainer INFO: eta: 13:05:33 iter: 13660 loss: 1.5102 (1.5712) loss_classifier: 0.0782 (0.0959) loss_box_reg: 0.0832 (0.1043) loss_objectness: 0.0141 (0.0328) loss_rpn_box_reg: 0.0088 (0.0193) loss_da_image: 0.6729 (0.6614) loss_da_instance: 0.6436 (0.6496) loss_da_consistency: 0.0078 (0.0079) time: 0.8342 (0.8366) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:55:05,018 maskrcnn_benchmark.trainer INFO: eta: 13:05:16 iter: 13680 loss: 1.5062 (1.5711) loss_classifier: 0.0568 (0.0959) loss_box_reg: 0.0624 (0.1043) loss_objectness: 0.0165 (0.0328) loss_rpn_box_reg: 0.0074 (0.0193) loss_da_image: 0.6722 (0.6614) loss_da_instance: 0.6711 (0.6496) loss_da_consistency: 0.0074 (0.0079) time: 0.8336 (0.8366) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:55:21,705 maskrcnn_benchmark.trainer INFO: eta: 13:04:59 iter: 13700 loss: 1.4684 (1.5710) loss_classifier: 0.0490 (0.0958) loss_box_reg: 0.0594 (0.1042) loss_objectness: 0.0113 (0.0327) loss_rpn_box_reg: 0.0051 (0.0193) loss_da_image: 0.6737 (0.6614) loss_da_instance: 0.6543 (0.6496) loss_da_consistency: 0.0060 (0.0079) time: 0.8332 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:55:38,419 maskrcnn_benchmark.trainer INFO: eta: 13:04:43 iter: 13720 loss: 1.6030 (1.5710) loss_classifier: 0.1008 (0.0958) loss_box_reg: 0.1008 (0.1042) loss_objectness: 0.0215 (0.0327) loss_rpn_box_reg: 0.0137 (0.0193) loss_da_image: 0.6573 (0.6614) loss_da_instance: 0.6659 (0.6496) loss_da_consistency: 0.0068 (0.0079) time: 0.8353 (0.8366) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:55:55,132 maskrcnn_benchmark.trainer INFO: eta: 13:04:26 iter: 13740 loss: 1.4672 (1.5709) loss_classifier: 0.0496 (0.0957) loss_box_reg: 0.0514 (0.1042) loss_objectness: 0.0110 (0.0327) loss_rpn_box_reg: 0.0074 (0.0193) loss_da_image: 0.6502 (0.6614) loss_da_instance: 0.6582 (0.6497) loss_da_consistency: 0.0072 (0.0079) time: 0.8341 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:56:11,823 maskrcnn_benchmark.trainer INFO: eta: 13:04:09 iter: 13760 loss: 1.4862 (1.5708) loss_classifier: 0.0705 (0.0957) loss_box_reg: 0.0593 (0.1042) loss_objectness: 0.0093 (0.0327) loss_rpn_box_reg: 0.0085 (0.0193) loss_da_image: 0.6626 (0.6614) loss_da_instance: 0.6540 (0.6497) loss_da_consistency: 0.0060 (0.0079) time: 0.8347 (0.8366) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:56:28,544 maskrcnn_benchmark.trainer INFO: eta: 13:03:52 iter: 13780 loss: 1.4677 (1.5707) loss_classifier: 0.0613 (0.0957) loss_box_reg: 0.0428 (0.1041) loss_objectness: 0.0093 (0.0327) loss_rpn_box_reg: 0.0077 (0.0193) loss_da_image: 0.6554 (0.6614) loss_da_instance: 0.6585 (0.6497) loss_da_consistency: 0.0060 (0.0079) time: 0.8360 (0.8366) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:56:45,216 maskrcnn_benchmark.trainer INFO: eta: 13:03:35 iter: 13800 loss: 1.4516 (1.5706) loss_classifier: 0.0440 (0.0956) loss_box_reg: 0.0416 (0.1041) loss_objectness: 0.0074 (0.0326) loss_rpn_box_reg: 0.0043 (0.0193) loss_da_image: 0.6649 (0.6614) loss_da_instance: 0.6553 (0.6497) loss_da_consistency: 0.0067 (0.0078) time: 0.8331 (0.8366) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:57:01,930 maskrcnn_benchmark.trainer INFO: eta: 13:03:18 iter: 13820 loss: 1.4641 (1.5705) loss_classifier: 0.0535 (0.0956) loss_box_reg: 0.0635 (0.1040) loss_objectness: 0.0107 (0.0326) loss_rpn_box_reg: 0.0061 (0.0193) loss_da_image: 0.6787 (0.6615) loss_da_instance: 0.6576 (0.6497) loss_da_consistency: 0.0076 (0.0078) time: 0.8353 (0.8366) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:57:18,651 maskrcnn_benchmark.trainer INFO: eta: 13:03:02 iter: 13840 loss: 1.4427 (1.5704) loss_classifier: 0.0308 (0.0955) loss_box_reg: 0.0373 (0.1040) loss_objectness: 0.0071 (0.0326) loss_rpn_box_reg: 0.0085 (0.0193) loss_da_image: 0.6739 (0.6615) loss_da_instance: 0.6566 (0.6498) loss_da_consistency: 0.0060 (0.0078) time: 0.8347 (0.8366) data: 0.0622 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:57:35,427 maskrcnn_benchmark.trainer INFO: eta: 13:02:45 iter: 13860 loss: 1.5670 (1.5704) loss_classifier: 0.0921 (0.0955) loss_box_reg: 0.0848 (0.1039) loss_objectness: 0.0148 (0.0326) loss_rpn_box_reg: 0.0111 (0.0193) loss_da_image: 0.6763 (0.6615) loss_da_instance: 0.6598 (0.6498) loss_da_consistency: 0.0060 (0.0078) time: 0.8381 (0.8366) data: 0.0653 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:57:52,137 maskrcnn_benchmark.trainer INFO: eta: 13:02:28 iter: 13880 loss: 1.4546 (1.5703) loss_classifier: 0.0453 (0.0955) loss_box_reg: 0.0354 (0.1039) loss_objectness: 0.0084 (0.0325) loss_rpn_box_reg: 0.0051 (0.0192) loss_da_image: 0.6791 (0.6615) loss_da_instance: 0.6694 (0.6498) loss_da_consistency: 0.0053 (0.0078) time: 0.8346 (0.8366) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:58:08,857 maskrcnn_benchmark.trainer INFO: eta: 13:02:11 iter: 13900 loss: 1.4852 (1.5702) loss_classifier: 0.0507 (0.0954) loss_box_reg: 0.0459 (0.1038) loss_objectness: 0.0136 (0.0325) loss_rpn_box_reg: 0.0067 (0.0192) loss_da_image: 0.6807 (0.6615) loss_da_instance: 0.6597 (0.6498) loss_da_consistency: 0.0060 (0.0078) time: 0.8363 (0.8366) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:58:25,584 maskrcnn_benchmark.trainer INFO: eta: 13:01:55 iter: 13920 loss: 1.4656 (1.5701) loss_classifier: 0.0567 (0.0954) loss_box_reg: 0.0683 (0.1038) loss_objectness: 0.0102 (0.0325) loss_rpn_box_reg: 0.0068 (0.0192) loss_da_image: 0.6808 (0.6616) loss_da_instance: 0.6668 (0.6498) loss_da_consistency: 0.0060 (0.0078) time: 0.8346 (0.8366) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:58:42,292 maskrcnn_benchmark.trainer INFO: eta: 13:01:38 iter: 13940 loss: 1.5053 (1.5701) loss_classifier: 0.0743 (0.0954) loss_box_reg: 0.0875 (0.1038) loss_objectness: 0.0190 (0.0325) loss_rpn_box_reg: 0.0092 (0.0192) loss_da_image: 0.6746 (0.6616) loss_da_instance: 0.6644 (0.6498) loss_da_consistency: 0.0062 (0.0078) time: 0.8353 (0.8366) data: 0.0652 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:58:59,021 maskrcnn_benchmark.trainer INFO: eta: 13:01:21 iter: 13960 loss: 1.5287 (1.5701) loss_classifier: 0.0689 (0.0953) loss_box_reg: 0.0981 (0.1038) loss_objectness: 0.0148 (0.0325) loss_rpn_box_reg: 0.0168 (0.0192) loss_da_image: 0.6655 (0.6616) loss_da_instance: 0.6590 (0.6499) loss_da_consistency: 0.0057 (0.0078) time: 0.8359 (0.8366) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:59:15,758 maskrcnn_benchmark.trainer INFO: eta: 13:01:04 iter: 13980 loss: 1.4757 (1.5700) loss_classifier: 0.0570 (0.0953) loss_box_reg: 0.0755 (0.1037) loss_objectness: 0.0119 (0.0325) loss_rpn_box_reg: 0.0109 (0.0192) loss_da_image: 0.6613 (0.6616) loss_da_instance: 0.6552 (0.6499) loss_da_consistency: 0.0062 (0.0078) time: 0.8354 (0.8366) data: 0.0646 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:59:32,487 maskrcnn_benchmark.trainer INFO: eta: 13:00:48 iter: 14000 loss: 1.4845 (1.5699) loss_classifier: 0.0356 (0.0953) loss_box_reg: 0.0641 (0.1037) loss_objectness: 0.0138 (0.0324) loss_rpn_box_reg: 0.0076 (0.0192) loss_da_image: 0.6598 (0.6616) loss_da_instance: 0.6655 (0.6499) loss_da_consistency: 0.0064 (0.0078) time: 0.8364 (0.8366) data: 0.0653 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 16:59:49,220 maskrcnn_benchmark.trainer INFO: eta: 13:00:31 iter: 14020 loss: 1.4921 (1.5699) loss_classifier: 0.0528 (0.0952) loss_box_reg: 0.0711 (0.1037) loss_objectness: 0.0088 (0.0324) loss_rpn_box_reg: 0.0084 (0.0192) loss_da_image: 0.6621 (0.6616) loss_da_instance: 0.6812 (0.6499) loss_da_consistency: 0.0068 (0.0078) time: 0.8364 (0.8366) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:00:05,940 maskrcnn_benchmark.trainer INFO: eta: 13:00:14 iter: 14040 loss: 1.5766 (1.5699) loss_classifier: 0.0848 (0.0952) loss_box_reg: 0.0970 (0.1037) loss_objectness: 0.0101 (0.0324) loss_rpn_box_reg: 0.0120 (0.0192) loss_da_image: 0.6752 (0.6616) loss_da_instance: 0.6637 (0.6499) loss_da_consistency: 0.0060 (0.0078) time: 0.8350 (0.8366) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:00:22,649 maskrcnn_benchmark.trainer INFO: eta: 12:59:57 iter: 14060 loss: 1.5566 (1.5699) loss_classifier: 0.0643 (0.0952) loss_box_reg: 0.0897 (0.1037) loss_objectness: 0.0135 (0.0324) loss_rpn_box_reg: 0.0075 (0.0192) loss_da_image: 0.6764 (0.6616) loss_da_instance: 0.6587 (0.6500) loss_da_consistency: 0.0055 (0.0078) time: 0.8357 (0.8366) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:00:39,376 maskrcnn_benchmark.trainer INFO: eta: 12:59:41 iter: 14080 loss: 1.4470 (1.5698) loss_classifier: 0.0382 (0.0952) loss_box_reg: 0.0471 (0.1037) loss_objectness: 0.0056 (0.0324) loss_rpn_box_reg: 0.0038 (0.0192) loss_da_image: 0.6804 (0.6617) loss_da_instance: 0.6678 (0.6500) loss_da_consistency: 0.0057 (0.0078) time: 0.8374 (0.8366) data: 0.0643 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:00:56,039 maskrcnn_benchmark.trainer INFO: eta: 12:59:24 iter: 14100 loss: 1.5341 (1.5698) loss_classifier: 0.0694 (0.0951) loss_box_reg: 0.0809 (0.1036) loss_objectness: 0.0186 (0.0324) loss_rpn_box_reg: 0.0087 (0.0192) loss_da_image: 0.6740 (0.6617) loss_da_instance: 0.6674 (0.6500) loss_da_consistency: 0.0060 (0.0078) time: 0.8320 (0.8366) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:01:12,777 maskrcnn_benchmark.trainer INFO: eta: 12:59:07 iter: 14120 loss: 1.5446 (1.5698) loss_classifier: 0.0717 (0.0951) loss_box_reg: 0.0512 (0.1036) loss_objectness: 0.0147 (0.0323) loss_rpn_box_reg: 0.0097 (0.0191) loss_da_image: 0.6777 (0.6617) loss_da_instance: 0.6617 (0.6500) loss_da_consistency: 0.0054 (0.0078) time: 0.8362 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:01:29,463 maskrcnn_benchmark.trainer INFO: eta: 12:58:50 iter: 14140 loss: 1.5333 (1.5698) loss_classifier: 0.0781 (0.0951) loss_box_reg: 0.0900 (0.1036) loss_objectness: 0.0138 (0.0323) loss_rpn_box_reg: 0.0097 (0.0191) loss_da_image: 0.6760 (0.6617) loss_da_instance: 0.6510 (0.6500) loss_da_consistency: 0.0058 (0.0078) time: 0.8340 (0.8366) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:01:46,149 maskrcnn_benchmark.trainer INFO: eta: 12:58:33 iter: 14160 loss: 1.4828 (1.5697) loss_classifier: 0.0559 (0.0951) loss_box_reg: 0.0668 (0.1036) loss_objectness: 0.0049 (0.0323) loss_rpn_box_reg: 0.0082 (0.0191) loss_da_image: 0.6690 (0.6617) loss_da_instance: 0.6691 (0.6501) loss_da_consistency: 0.0057 (0.0078) time: 0.8341 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:02:02,847 maskrcnn_benchmark.trainer INFO: eta: 12:58:16 iter: 14180 loss: 1.5271 (1.5697) loss_classifier: 0.0634 (0.0951) loss_box_reg: 0.0913 (0.1036) loss_objectness: 0.0146 (0.0323) loss_rpn_box_reg: 0.0096 (0.0191) loss_da_image: 0.6693 (0.6618) loss_da_instance: 0.6580 (0.6501) loss_da_consistency: 0.0058 (0.0078) time: 0.8346 (0.8366) data: 0.0627 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:02:19,574 maskrcnn_benchmark.trainer INFO: eta: 12:57:59 iter: 14200 loss: 1.4981 (1.5696) loss_classifier: 0.0551 (0.0950) loss_box_reg: 0.0690 (0.1035) loss_objectness: 0.0170 (0.0323) loss_rpn_box_reg: 0.0115 (0.0191) loss_da_image: 0.6629 (0.6618) loss_da_instance: 0.6577 (0.6501) loss_da_consistency: 0.0058 (0.0078) time: 0.8365 (0.8366) data: 0.0634 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:02:36,286 maskrcnn_benchmark.trainer INFO: eta: 12:57:43 iter: 14220 loss: 1.5589 (1.5695) loss_classifier: 0.0839 (0.0950) loss_box_reg: 0.0774 (0.1035) loss_objectness: 0.0154 (0.0322) loss_rpn_box_reg: 0.0123 (0.0191) loss_da_image: 0.6713 (0.6618) loss_da_instance: 0.6660 (0.6501) loss_da_consistency: 0.0057 (0.0078) time: 0.8353 (0.8366) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:02:53,008 maskrcnn_benchmark.trainer INFO: eta: 12:57:26 iter: 14240 loss: 1.4869 (1.5695) loss_classifier: 0.0659 (0.0950) loss_box_reg: 0.0657 (0.1035) loss_objectness: 0.0147 (0.0322) loss_rpn_box_reg: 0.0093 (0.0191) loss_da_image: 0.6691 (0.6618) loss_da_instance: 0.6606 (0.6501) loss_da_consistency: 0.0060 (0.0078) time: 0.8354 (0.8366) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:03:09,774 maskrcnn_benchmark.trainer INFO: eta: 12:57:09 iter: 14260 loss: 1.5391 (1.5695) loss_classifier: 0.0795 (0.0950) loss_box_reg: 0.0857 (0.1035) loss_objectness: 0.0111 (0.0322) loss_rpn_box_reg: 0.0083 (0.0191) loss_da_image: 0.6719 (0.6618) loss_da_instance: 0.6575 (0.6501) loss_da_consistency: 0.0057 (0.0078) time: 0.8391 (0.8366) data: 0.0645 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:03:26,521 maskrcnn_benchmark.trainer INFO: eta: 12:56:53 iter: 14280 loss: 1.5001 (1.5695) loss_classifier: 0.0574 (0.0949) loss_box_reg: 0.0712 (0.1034) loss_objectness: 0.0158 (0.0322) loss_rpn_box_reg: 0.0129 (0.0191) loss_da_image: 0.6761 (0.6618) loss_da_instance: 0.6641 (0.6502) loss_da_consistency: 0.0063 (0.0078) time: 0.8363 (0.8366) data: 0.0641 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:03:43,227 maskrcnn_benchmark.trainer INFO: eta: 12:56:36 iter: 14300 loss: 1.4733 (1.5694) loss_classifier: 0.0497 (0.0949) loss_box_reg: 0.0526 (0.1034) loss_objectness: 0.0080 (0.0322) loss_rpn_box_reg: 0.0081 (0.0191) loss_da_image: 0.6756 (0.6618) loss_da_instance: 0.6527 (0.6502) loss_da_consistency: 0.0052 (0.0078) time: 0.8356 (0.8366) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:03:59,975 maskrcnn_benchmark.trainer INFO: eta: 12:56:19 iter: 14320 loss: 1.5186 (1.5693) loss_classifier: 0.0595 (0.0948) loss_box_reg: 0.0711 (0.1034) loss_objectness: 0.0085 (0.0322) loss_rpn_box_reg: 0.0123 (0.0191) loss_da_image: 0.6721 (0.6619) loss_da_instance: 0.6619 (0.6502) loss_da_consistency: 0.0065 (0.0078) time: 0.8388 (0.8366) data: 0.0643 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:04:16,691 maskrcnn_benchmark.trainer INFO: eta: 12:56:02 iter: 14340 loss: 1.5925 (1.5693) loss_classifier: 0.0750 (0.0948) loss_box_reg: 0.0717 (0.1034) loss_objectness: 0.0166 (0.0321) loss_rpn_box_reg: 0.0090 (0.0191) loss_da_image: 0.6812 (0.6619) loss_da_instance: 0.6705 (0.6502) loss_da_consistency: 0.0060 (0.0078) time: 0.8350 (0.8366) data: 0.0642 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:04:33,363 maskrcnn_benchmark.trainer INFO: eta: 12:55:45 iter: 14360 loss: 1.5201 (1.5692) loss_classifier: 0.0680 (0.0948) loss_box_reg: 0.0788 (0.1033) loss_objectness: 0.0140 (0.0321) loss_rpn_box_reg: 0.0075 (0.0191) loss_da_image: 0.6774 (0.6619) loss_da_instance: 0.6563 (0.6502) loss_da_consistency: 0.0052 (0.0078) time: 0.8328 (0.8366) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:04:50,136 maskrcnn_benchmark.trainer INFO: eta: 12:55:29 iter: 14380 loss: 1.4934 (1.5691) loss_classifier: 0.0758 (0.0948) loss_box_reg: 0.0635 (0.1033) loss_objectness: 0.0203 (0.0321) loss_rpn_box_reg: 0.0104 (0.0191) loss_da_image: 0.6687 (0.6619) loss_da_instance: 0.6502 (0.6502) loss_da_consistency: 0.0067 (0.0078) time: 0.8385 (0.8366) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:05:06,834 maskrcnn_benchmark.trainer INFO: eta: 12:55:12 iter: 14400 loss: 1.4811 (1.5691) loss_classifier: 0.0518 (0.0947) loss_box_reg: 0.0804 (0.1033) loss_objectness: 0.0104 (0.0321) loss_rpn_box_reg: 0.0099 (0.0191) loss_da_image: 0.6744 (0.6619) loss_da_instance: 0.6445 (0.6502) loss_da_consistency: 0.0060 (0.0078) time: 0.8340 (0.8366) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:05:23,553 maskrcnn_benchmark.trainer INFO: eta: 12:54:55 iter: 14420 loss: 1.5464 (1.5691) loss_classifier: 0.0842 (0.0947) loss_box_reg: 0.0965 (0.1033) loss_objectness: 0.0143 (0.0321) loss_rpn_box_reg: 0.0134 (0.0191) loss_da_image: 0.6754 (0.6619) loss_da_instance: 0.6539 (0.6502) loss_da_consistency: 0.0059 (0.0078) time: 0.8347 (0.8366) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:05:40,271 maskrcnn_benchmark.trainer INFO: eta: 12:54:38 iter: 14440 loss: 1.4809 (1.5690) loss_classifier: 0.0476 (0.0947) loss_box_reg: 0.0714 (0.1032) loss_objectness: 0.0116 (0.0320) loss_rpn_box_reg: 0.0064 (0.0191) loss_da_image: 0.6788 (0.6620) loss_da_instance: 0.6621 (0.6503) loss_da_consistency: 0.0053 (0.0078) time: 0.8360 (0.8366) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:05:56,990 maskrcnn_benchmark.trainer INFO: eta: 12:54:22 iter: 14460 loss: 1.5542 (1.5690) loss_classifier: 0.0537 (0.0946) loss_box_reg: 0.0680 (0.1032) loss_objectness: 0.0096 (0.0320) loss_rpn_box_reg: 0.0063 (0.0190) loss_da_image: 0.6721 (0.6620) loss_da_instance: 0.6522 (0.6503) loss_da_consistency: 0.0063 (0.0078) time: 0.8355 (0.8366) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:06:13,709 maskrcnn_benchmark.trainer INFO: eta: 12:54:05 iter: 14480 loss: 1.5280 (1.5690) loss_classifier: 0.0703 (0.0946) loss_box_reg: 0.0833 (0.1032) loss_objectness: 0.0155 (0.0320) loss_rpn_box_reg: 0.0099 (0.0190) loss_da_image: 0.6780 (0.6620) loss_da_instance: 0.6551 (0.6503) loss_da_consistency: 0.0078 (0.0078) time: 0.8375 (0.8366) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:06:30,401 maskrcnn_benchmark.trainer INFO: eta: 12:53:48 iter: 14500 loss: 1.4781 (1.5689) loss_classifier: 0.0553 (0.0946) loss_box_reg: 0.0448 (0.1032) loss_objectness: 0.0085 (0.0320) loss_rpn_box_reg: 0.0064 (0.0190) loss_da_image: 0.6715 (0.6620) loss_da_instance: 0.6609 (0.6503) loss_da_consistency: 0.0068 (0.0078) time: 0.8330 (0.8365) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:06:47,103 maskrcnn_benchmark.trainer INFO: eta: 12:53:31 iter: 14520 loss: 1.5066 (1.5689) loss_classifier: 0.0756 (0.0946) loss_box_reg: 0.0625 (0.1032) loss_objectness: 0.0196 (0.0320) loss_rpn_box_reg: 0.0089 (0.0190) loss_da_image: 0.6683 (0.6620) loss_da_instance: 0.6490 (0.6503) loss_da_consistency: 0.0070 (0.0078) time: 0.8360 (0.8365) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:07:03,834 maskrcnn_benchmark.trainer INFO: eta: 12:53:14 iter: 14540 loss: 1.4685 (1.5688) loss_classifier: 0.0549 (0.0945) loss_box_reg: 0.0726 (0.1031) loss_objectness: 0.0087 (0.0320) loss_rpn_box_reg: 0.0104 (0.0190) loss_da_image: 0.6695 (0.6621) loss_da_instance: 0.6586 (0.6503) loss_da_consistency: 0.0062 (0.0078) time: 0.8371 (0.8365) data: 0.0628 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:07:20,572 maskrcnn_benchmark.trainer INFO: eta: 12:52:58 iter: 14560 loss: 1.5019 (1.5687) loss_classifier: 0.0583 (0.0945) loss_box_reg: 0.0638 (0.1031) loss_objectness: 0.0241 (0.0320) loss_rpn_box_reg: 0.0150 (0.0190) loss_da_image: 0.6727 (0.6621) loss_da_instance: 0.6637 (0.6503) loss_da_consistency: 0.0063 (0.0078) time: 0.8363 (0.8365) data: 0.0640 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:07:37,314 maskrcnn_benchmark.trainer INFO: eta: 12:52:41 iter: 14580 loss: 1.4699 (1.5686) loss_classifier: 0.0439 (0.0945) loss_box_reg: 0.0591 (0.1030) loss_objectness: 0.0121 (0.0319) loss_rpn_box_reg: 0.0075 (0.0190) loss_da_image: 0.6649 (0.6621) loss_da_instance: 0.6604 (0.6504) loss_da_consistency: 0.0059 (0.0078) time: 0.8383 (0.8365) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:07:54,014 maskrcnn_benchmark.trainer INFO: eta: 12:52:24 iter: 14600 loss: 1.5427 (1.5686) loss_classifier: 0.0779 (0.0944) loss_box_reg: 0.0826 (0.1030) loss_objectness: 0.0142 (0.0319) loss_rpn_box_reg: 0.0096 (0.0190) loss_da_image: 0.6663 (0.6621) loss_da_instance: 0.6641 (0.6504) loss_da_consistency: 0.0059 (0.0078) time: 0.8352 (0.8365) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:08:10,750 maskrcnn_benchmark.trainer INFO: eta: 12:52:07 iter: 14620 loss: 1.4912 (1.5686) loss_classifier: 0.0623 (0.0944) loss_box_reg: 0.0767 (0.1030) loss_objectness: 0.0100 (0.0319) loss_rpn_box_reg: 0.0099 (0.0190) loss_da_image: 0.6755 (0.6621) loss_da_instance: 0.6521 (0.6504) loss_da_consistency: 0.0063 (0.0078) time: 0.8365 (0.8365) data: 0.0624 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:08:27,506 maskrcnn_benchmark.trainer INFO: eta: 12:51:51 iter: 14640 loss: 1.4944 (1.5685) loss_classifier: 0.0578 (0.0944) loss_box_reg: 0.0575 (0.1030) loss_objectness: 0.0092 (0.0319) loss_rpn_box_reg: 0.0064 (0.0190) loss_da_image: 0.6714 (0.6621) loss_da_instance: 0.6614 (0.6504) loss_da_consistency: 0.0055 (0.0078) time: 0.8376 (0.8365) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:08:44,278 maskrcnn_benchmark.trainer INFO: eta: 12:51:34 iter: 14660 loss: 1.5579 (1.5685) loss_classifier: 0.0648 (0.0943) loss_box_reg: 0.0645 (0.1030) loss_objectness: 0.0209 (0.0319) loss_rpn_box_reg: 0.0098 (0.0190) loss_da_image: 0.6763 (0.6621) loss_da_instance: 0.6554 (0.6504) loss_da_consistency: 0.0061 (0.0078) time: 0.8386 (0.8365) data: 0.0626 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:09:00,983 maskrcnn_benchmark.trainer INFO: eta: 12:51:17 iter: 14680 loss: 1.5181 (1.5684) loss_classifier: 0.0751 (0.0943) loss_box_reg: 0.0685 (0.1030) loss_objectness: 0.0132 (0.0318) loss_rpn_box_reg: 0.0107 (0.0190) loss_da_image: 0.6756 (0.6622) loss_da_instance: 0.6531 (0.6504) loss_da_consistency: 0.0060 (0.0077) time: 0.8352 (0.8365) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:09:17,683 maskrcnn_benchmark.trainer INFO: eta: 12:51:00 iter: 14700 loss: 1.4921 (1.5684) loss_classifier: 0.0596 (0.0943) loss_box_reg: 0.0786 (0.1029) loss_objectness: 0.0109 (0.0318) loss_rpn_box_reg: 0.0084 (0.0190) loss_da_image: 0.6756 (0.6622) loss_da_instance: 0.6600 (0.6505) loss_da_consistency: 0.0056 (0.0077) time: 0.8353 (0.8365) data: 0.0629 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:09:34,399 maskrcnn_benchmark.trainer INFO: eta: 12:50:44 iter: 14720 loss: 1.4746 (1.5684) loss_classifier: 0.0418 (0.0943) loss_box_reg: 0.0731 (0.1029) loss_objectness: 0.0114 (0.0318) loss_rpn_box_reg: 0.0113 (0.0190) loss_da_image: 0.6661 (0.6622) loss_da_instance: 0.6514 (0.6505) loss_da_consistency: 0.0048 (0.0077) time: 0.8358 (0.8365) data: 0.0626 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:09:51,096 maskrcnn_benchmark.trainer INFO: eta: 12:50:27 iter: 14740 loss: 1.5038 (1.5683) loss_classifier: 0.0516 (0.0942) loss_box_reg: 0.0862 (0.1029) loss_objectness: 0.0090 (0.0318) loss_rpn_box_reg: 0.0097 (0.0190) loss_da_image: 0.6684 (0.6622) loss_da_instance: 0.6676 (0.6505) loss_da_consistency: 0.0064 (0.0077) time: 0.8355 (0.8365) data: 0.0644 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:10:07,775 maskrcnn_benchmark.trainer INFO: eta: 12:50:10 iter: 14760 loss: 1.4991 (1.5683) loss_classifier: 0.0579 (0.0942) loss_box_reg: 0.0737 (0.1029) loss_objectness: 0.0183 (0.0318) loss_rpn_box_reg: 0.0089 (0.0190) loss_da_image: 0.6734 (0.6622) loss_da_instance: 0.6546 (0.6505) loss_da_consistency: 0.0049 (0.0077) time: 0.8339 (0.8365) data: 0.0621 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:10:24,432 maskrcnn_benchmark.trainer INFO: eta: 12:49:53 iter: 14780 loss: 1.5281 (1.5682) loss_classifier: 0.0765 (0.0942) loss_box_reg: 0.0669 (0.1029) loss_objectness: 0.0097 (0.0318) loss_rpn_box_reg: 0.0062 (0.0189) loss_da_image: 0.6728 (0.6622) loss_da_instance: 0.6600 (0.6505) loss_da_consistency: 0.0061 (0.0077) time: 0.8317 (0.8365) data: 0.0620 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:10:41,154 maskrcnn_benchmark.trainer INFO: eta: 12:49:36 iter: 14800 loss: 1.4837 (1.5682) loss_classifier: 0.0774 (0.0942) loss_box_reg: 0.0655 (0.1029) loss_objectness: 0.0130 (0.0317) loss_rpn_box_reg: 0.0098 (0.0189) loss_da_image: 0.6667 (0.6622) loss_da_instance: 0.6562 (0.6506) loss_da_consistency: 0.0060 (0.0077) time: 0.8359 (0.8365) data: 0.0646 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:10:57,847 maskrcnn_benchmark.trainer INFO: eta: 12:49:19 iter: 14820 loss: 1.5374 (1.5682) loss_classifier: 0.0609 (0.0941) loss_box_reg: 0.0768 (0.1029) loss_objectness: 0.0222 (0.0317) loss_rpn_box_reg: 0.0133 (0.0189) loss_da_image: 0.6647 (0.6622) loss_da_instance: 0.6553 (0.6506) loss_da_consistency: 0.0060 (0.0077) time: 0.8340 (0.8365) data: 0.0635 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:11:14,553 maskrcnn_benchmark.trainer INFO: eta: 12:49:02 iter: 14840 loss: 1.5259 (1.5682) loss_classifier: 0.0557 (0.0941) loss_box_reg: 0.0703 (0.1028) loss_objectness: 0.0168 (0.0317) loss_rpn_box_reg: 0.0112 (0.0189) loss_da_image: 0.6675 (0.6622) loss_da_instance: 0.6612 (0.6506) loss_da_consistency: 0.0057 (0.0077) time: 0.8363 (0.8365) data: 0.0637 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:11:31,240 maskrcnn_benchmark.trainer INFO: eta: 12:48:46 iter: 14860 loss: 1.5120 (1.5681) loss_classifier: 0.0665 (0.0941) loss_box_reg: 0.0900 (0.1028) loss_objectness: 0.0087 (0.0317) loss_rpn_box_reg: 0.0123 (0.0189) loss_da_image: 0.6736 (0.6623) loss_da_instance: 0.6551 (0.6506) loss_da_consistency: 0.0063 (0.0077) time: 0.8343 (0.8365) data: 0.0622 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:11:47,924 maskrcnn_benchmark.trainer INFO: eta: 12:48:29 iter: 14880 loss: 1.5365 (1.5681) loss_classifier: 0.0756 (0.0941) loss_box_reg: 0.1010 (0.1028) loss_objectness: 0.0217 (0.0317) loss_rpn_box_reg: 0.0140 (0.0189) loss_da_image: 0.6708 (0.6623) loss_da_instance: 0.6545 (0.6506) loss_da_consistency: 0.0065 (0.0077) time: 0.8335 (0.8365) data: 0.0623 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:12:04,628 maskrcnn_benchmark.trainer INFO: eta: 12:48:12 iter: 14900 loss: 1.5121 (1.5681) loss_classifier: 0.0791 (0.0941) loss_box_reg: 0.0626 (0.1028) loss_objectness: 0.0171 (0.0317) loss_rpn_box_reg: 0.0084 (0.0189) loss_da_image: 0.6674 (0.6623) loss_da_instance: 0.6589 (0.6506) loss_da_consistency: 0.0071 (0.0077) time: 0.8343 (0.8365) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:12:21,278 maskrcnn_benchmark.trainer INFO: eta: 12:47:55 iter: 14920 loss: 1.5741 (1.5681) loss_classifier: 0.0822 (0.0941) loss_box_reg: 0.1208 (0.1028) loss_objectness: 0.0192 (0.0317) loss_rpn_box_reg: 0.0102 (0.0189) loss_da_image: 0.6712 (0.6623) loss_da_instance: 0.6517 (0.6506) loss_da_consistency: 0.0068 (0.0077) time: 0.8348 (0.8365) data: 0.0621 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:12:37,958 maskrcnn_benchmark.trainer INFO: eta: 12:47:38 iter: 14940 loss: 1.5228 (1.5681) loss_classifier: 0.0685 (0.0941) loss_box_reg: 0.0958 (0.1028) loss_objectness: 0.0117 (0.0316) loss_rpn_box_reg: 0.0059 (0.0189) loss_da_image: 0.6626 (0.6623) loss_da_instance: 0.6688 (0.6506) loss_da_consistency: 0.0060 (0.0077) time: 0.8337 (0.8365) data: 0.0615 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:12:54,639 maskrcnn_benchmark.trainer INFO: eta: 12:47:21 iter: 14960 loss: 1.5183 (1.5680) loss_classifier: 0.0630 (0.0940) loss_box_reg: 0.0850 (0.1028) loss_objectness: 0.0115 (0.0316) loss_rpn_box_reg: 0.0071 (0.0189) loss_da_image: 0.6681 (0.6623) loss_da_instance: 0.6693 (0.6507) loss_da_consistency: 0.0062 (0.0077) time: 0.8344 (0.8365) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:13:11,431 maskrcnn_benchmark.trainer INFO: eta: 12:47:04 iter: 14980 loss: 1.5116 (1.5679) loss_classifier: 0.0779 (0.0940) loss_box_reg: 0.0891 (0.1027) loss_objectness: 0.0092 (0.0316) loss_rpn_box_reg: 0.0095 (0.0189) loss_da_image: 0.6700 (0.6623) loss_da_instance: 0.6547 (0.6507) loss_da_consistency: 0.0061 (0.0077) time: 0.8385 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:13:28,142 maskrcnn_benchmark.trainer INFO: eta: 12:46:48 iter: 15000 loss: 1.4903 (1.5679) loss_classifier: 0.0628 (0.0940) loss_box_reg: 0.0643 (0.1027) loss_objectness: 0.0119 (0.0316) loss_rpn_box_reg: 0.0081 (0.0189) loss_da_image: 0.6701 (0.6623) loss_da_instance: 0.6609 (0.6507) loss_da_consistency: 0.0058 (0.0077) time: 0.8356 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:13:28,145 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0015000.pth
2019-10-25 17:13:45,058 maskrcnn_benchmark.trainer INFO: eta: 12:46:32 iter: 15020 loss: 1.4960 (1.5678) loss_classifier: 0.0720 (0.0939) loss_box_reg: 0.0663 (0.1027) loss_objectness: 0.0103 (0.0316) loss_rpn_box_reg: 0.0090 (0.0189) loss_da_image: 0.6753 (0.6623) loss_da_instance: 0.6543 (0.6507) loss_da_consistency: 0.0058 (0.0077) time: 0.8375 (0.8365) data: 0.0636 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:14:01,797 maskrcnn_benchmark.trainer INFO: eta: 12:46:15 iter: 15040 loss: 1.5619 (1.5678) loss_classifier: 0.0877 (0.0939) loss_box_reg: 0.0951 (0.1027) loss_objectness: 0.0139 (0.0315) loss_rpn_box_reg: 0.0114 (0.0189) loss_da_image: 0.6671 (0.6624) loss_da_instance: 0.6581 (0.6507) loss_da_consistency: 0.0073 (0.0077) time: 0.8379 (0.8365) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:14:18,554 maskrcnn_benchmark.trainer INFO: eta: 12:45:58 iter: 15060 loss: 1.4468 (1.5677) loss_classifier: 0.0576 (0.0939) loss_box_reg: 0.0535 (0.1026) loss_objectness: 0.0078 (0.0315) loss_rpn_box_reg: 0.0054 (0.0188) loss_da_image: 0.6666 (0.6624) loss_da_instance: 0.6545 (0.6507) loss_da_consistency: 0.0061 (0.0077) time: 0.8373 (0.8365) data: 0.0631 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:14:35,321 maskrcnn_benchmark.trainer INFO: eta: 12:45:42 iter: 15080 loss: 1.5128 (1.5677) loss_classifier: 0.0843 (0.0939) loss_box_reg: 0.0781 (0.1026) loss_objectness: 0.0151 (0.0315) loss_rpn_box_reg: 0.0105 (0.0188) loss_da_image: 0.6641 (0.6624) loss_da_instance: 0.6564 (0.6507) loss_da_consistency: 0.0062 (0.0077) time: 0.8384 (0.8365) data: 0.0632 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:14:52,083 maskrcnn_benchmark.trainer INFO: eta: 12:45:25 iter: 15100 loss: 1.5200 (1.5676) loss_classifier: 0.0659 (0.0939) loss_box_reg: 0.0786 (0.1026) loss_objectness: 0.0128 (0.0315) loss_rpn_box_reg: 0.0096 (0.0188) loss_da_image: 0.6703 (0.6624) loss_da_instance: 0.6617 (0.6507) loss_da_consistency: 0.0069 (0.0077) time: 0.8379 (0.8365) data: 0.0639 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:15:08,779 maskrcnn_benchmark.trainer INFO: eta: 12:45:08 iter: 15120 loss: 1.5121 (1.5676) loss_classifier: 0.0566 (0.0938) loss_box_reg: 0.0687 (0.1026) loss_objectness: 0.0083 (0.0315) loss_rpn_box_reg: 0.0051 (0.0188) loss_da_image: 0.6801 (0.6624) loss_da_instance: 0.6668 (0.6508) loss_da_consistency: 0.0058 (0.0077) time: 0.8343 (0.8365) data: 0.0616 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:15:25,493 maskrcnn_benchmark.trainer INFO: eta: 12:44:51 iter: 15140 loss: 1.4968 (1.5675) loss_classifier: 0.0602 (0.0938) loss_box_reg: 0.0547 (0.1025) loss_objectness: 0.0190 (0.0315) loss_rpn_box_reg: 0.0101 (0.0188) loss_da_image: 0.6679 (0.6624) loss_da_instance: 0.6597 (0.6508) loss_da_consistency: 0.0057 (0.0077) time: 0.8336 (0.8365) data: 0.0613 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:15:42,191 maskrcnn_benchmark.trainer INFO: eta: 12:44:35 iter: 15160 loss: 1.5469 (1.5675) loss_classifier: 0.0869 (0.0938) loss_box_reg: 0.0857 (0.1025) loss_objectness: 0.0220 (0.0315) loss_rpn_box_reg: 0.0097 (0.0188) loss_da_image: 0.6642 (0.6624) loss_da_instance: 0.6567 (0.6508) loss_da_consistency: 0.0067 (0.0077) time: 0.8339 (0.8365) data: 0.0630 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:15:58,915 maskrcnn_benchmark.trainer INFO: eta: 12:44:18 iter: 15180 loss: 1.4769 (1.5674) loss_classifier: 0.0598 (0.0937) loss_box_reg: 0.0700 (0.1025) loss_objectness: 0.0080 (0.0314) loss_rpn_box_reg: 0.0083 (0.0188) loss_da_image: 0.6758 (0.6624) loss_da_instance: 0.6593 (0.6508) loss_da_consistency: 0.0052 (0.0077) time: 0.8371 (0.8365) data: 0.0633 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:16:15,653 maskrcnn_benchmark.trainer INFO: eta: 12:44:01 iter: 15200 loss: 1.4986 (1.5674) loss_classifier: 0.0601 (0.0937) loss_box_reg: 0.0725 (0.1025) loss_objectness: 0.0112 (0.0314) loss_rpn_box_reg: 0.0077 (0.0188) loss_da_image: 0.6732 (0.6625) loss_da_instance: 0.6694 (0.6508) loss_da_consistency: 0.0055 (0.0077) time: 0.8361 (0.8365) data: 0.0624 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 17:16:32,332 maskrcnn_benchmark.trainer INFO: eta: 12:43:44 iter: 15220 loss: 1.5241 (1.5674) loss_classifier: 0.0613 (0.0937) loss_box_reg: 0.0956 (0.1025) loss_objectness: 0.0083 (0.0314) loss_rpn_box_reg: 0.0119 (0.0188) loss_da_image: 0.6767 (0.6625) loss_da_instance: 0.6625 (0.6509) loss_da_consistency: 0.0057 (0.0077) time: 0.8331 (0.8365) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:16:49,033 maskrcnn_benchmark.trainer INFO: eta: 12:43:27 iter: 15240 loss: 1.4888 (1.5673) loss_classifier: 0.0585 (0.0936) loss_box_reg: 0.0578 (0.1024) loss_objectness: 0.0125 (0.0314) loss_rpn_box_reg: 0.0061 (0.0188) loss_da_image: 0.6765 (0.6625) loss_da_instance: 0.6640 (0.6509) loss_da_consistency: 0.0042 (0.0077) time: 0.8349 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:17:05,776 maskrcnn_benchmark.trainer INFO: eta: 12:43:11 iter: 15260 loss: 1.5676 (1.5673) loss_classifier: 0.0913 (0.0936) loss_box_reg: 0.0991 (0.1024) loss_objectness: 0.0184 (0.0314) loss_rpn_box_reg: 0.0197 (0.0188) loss_da_image: 0.6742 (0.6625) loss_da_instance: 0.6598 (0.6509) loss_da_consistency: 0.0060 (0.0077) time: 0.8368 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:17:22,460 maskrcnn_benchmark.trainer INFO: eta: 12:42:54 iter: 15280 loss: 1.4894 (1.5672) loss_classifier: 0.0777 (0.0936) loss_box_reg: 0.0685 (0.1024) loss_objectness: 0.0122 (0.0313) loss_rpn_box_reg: 0.0101 (0.0188) loss_da_image: 0.6761 (0.6625) loss_da_instance: 0.6611 (0.6509) loss_da_consistency: 0.0056 (0.0077) time: 0.8336 (0.8365) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:17:39,215 maskrcnn_benchmark.trainer INFO: eta: 12:42:37 iter: 15300 loss: 1.5450 (1.5672) loss_classifier: 0.0762 (0.0936) loss_box_reg: 0.0893 (0.1024) loss_objectness: 0.0151 (0.0313) loss_rpn_box_reg: 0.0093 (0.0188) loss_da_image: 0.6752 (0.6625) loss_da_instance: 0.6697 (0.6509) loss_da_consistency: 0.0061 (0.0077) time: 0.8378 (0.8365) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:17:56,003 maskrcnn_benchmark.trainer INFO: eta: 12:42:21 iter: 15320 loss: 1.5082 (1.5672) loss_classifier: 0.0787 (0.0936) loss_box_reg: 0.0946 (0.1024) loss_objectness: 0.0123 (0.0313) loss_rpn_box_reg: 0.0117 (0.0188) loss_da_image: 0.6813 (0.6626) loss_da_instance: 0.6676 (0.6509) loss_da_consistency: 0.0062 (0.0077) time: 0.8373 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:18:12,720 maskrcnn_benchmark.trainer INFO: eta: 12:42:04 iter: 15340 loss: 1.5253 (1.5672) loss_classifier: 0.0720 (0.0936) loss_box_reg: 0.0855 (0.1024) loss_objectness: 0.0144 (0.0313) loss_rpn_box_reg: 0.0093 (0.0188) loss_da_image: 0.6733 (0.6626) loss_da_instance: 0.6583 (0.6509) loss_da_consistency: 0.0060 (0.0077) time: 0.8354 (0.8365) data: 0.0651 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:18:29,428 maskrcnn_benchmark.trainer INFO: eta: 12:41:47 iter: 15360 loss: 1.5614 (1.5672) loss_classifier: 0.0860 (0.0936) loss_box_reg: 0.0811 (0.1024) loss_objectness: 0.0121 (0.0313) loss_rpn_box_reg: 0.0096 (0.0188) loss_da_image: 0.6745 (0.6626) loss_da_instance: 0.6545 (0.6510) loss_da_consistency: 0.0055 (0.0077) time: 0.8351 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:18:46,127 maskrcnn_benchmark.trainer INFO: eta: 12:41:30 iter: 15380 loss: 1.5581 (1.5672) loss_classifier: 0.0844 (0.0935) loss_box_reg: 0.0805 (0.1023) loss_objectness: 0.0178 (0.0313) loss_rpn_box_reg: 0.0158 (0.0188) loss_da_image: 0.6724 (0.6626) loss_da_instance: 0.6446 (0.6510) loss_da_consistency: 0.0069 (0.0077) time: 0.8344 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:19:02,875 maskrcnn_benchmark.trainer INFO: eta: 12:41:14 iter: 15400 loss: 1.5187 (1.5671) loss_classifier: 0.0642 (0.0935) loss_box_reg: 0.0746 (0.1023) loss_objectness: 0.0137 (0.0313) loss_rpn_box_reg: 0.0075 (0.0188) loss_da_image: 0.6715 (0.6626) loss_da_instance: 0.6552 (0.6510) loss_da_consistency: 0.0062 (0.0077) time: 0.8382 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:19:19,586 maskrcnn_benchmark.trainer INFO: eta: 12:40:57 iter: 15420 loss: 1.4641 (1.5670) loss_classifier: 0.0501 (0.0935) loss_box_reg: 0.0569 (0.1023) loss_objectness: 0.0079 (0.0312) loss_rpn_box_reg: 0.0084 (0.0187) loss_da_image: 0.6679 (0.6626) loss_da_instance: 0.6623 (0.6510) loss_da_consistency: 0.0059 (0.0077) time: 0.8348 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:19:36,361 maskrcnn_benchmark.trainer INFO: eta: 12:40:40 iter: 15440 loss: 1.5185 (1.5670) loss_classifier: 0.0721 (0.0935) loss_box_reg: 0.1082 (0.1023) loss_objectness: 0.0098 (0.0312) loss_rpn_box_reg: 0.0101 (0.0187) loss_da_image: 0.6687 (0.6626) loss_da_instance: 0.6482 (0.6510) loss_da_consistency: 0.0065 (0.0077) time: 0.8376 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:19:53,066 maskrcnn_benchmark.trainer INFO: eta: 12:40:23 iter: 15460 loss: 1.4983 (1.5669) loss_classifier: 0.0665 (0.0934) loss_box_reg: 0.0704 (0.1023) loss_objectness: 0.0108 (0.0312) loss_rpn_box_reg: 0.0071 (0.0187) loss_da_image: 0.6676 (0.6626) loss_da_instance: 0.6696 (0.6510) loss_da_consistency: 0.0055 (0.0077) time: 0.8341 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:20:09,800 maskrcnn_benchmark.trainer INFO: eta: 12:40:07 iter: 15480 loss: 1.4973 (1.5669) loss_classifier: 0.0452 (0.0934) loss_box_reg: 0.0550 (0.1022) loss_objectness: 0.0139 (0.0312) loss_rpn_box_reg: 0.0072 (0.0187) loss_da_image: 0.6667 (0.6627) loss_da_instance: 0.6719 (0.6510) loss_da_consistency: 0.0050 (0.0077) time: 0.8385 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:20:26,476 maskrcnn_benchmark.trainer INFO: eta: 12:39:50 iter: 15500 loss: 1.5231 (1.5668) loss_classifier: 0.0708 (0.0934) loss_box_reg: 0.0826 (0.1022) loss_objectness: 0.0137 (0.0312) loss_rpn_box_reg: 0.0129 (0.0187) loss_da_image: 0.6710 (0.6627) loss_da_instance: 0.6718 (0.6511) loss_da_consistency: 0.0056 (0.0077) time: 0.8324 (0.8365) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:20:43,200 maskrcnn_benchmark.trainer INFO: eta: 12:39:33 iter: 15520 loss: 1.4945 (1.5668) loss_classifier: 0.0659 (0.0934) loss_box_reg: 0.0792 (0.1022) loss_objectness: 0.0094 (0.0311) loss_rpn_box_reg: 0.0086 (0.0187) loss_da_image: 0.6694 (0.6627) loss_da_instance: 0.6520 (0.6511) loss_da_consistency: 0.0059 (0.0077) time: 0.8359 (0.8365) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:20:59,910 maskrcnn_benchmark.trainer INFO: eta: 12:39:16 iter: 15540 loss: 1.5054 (1.5668) loss_classifier: 0.0584 (0.0933) loss_box_reg: 0.0705 (0.1022) loss_objectness: 0.0067 (0.0311) loss_rpn_box_reg: 0.0098 (0.0187) loss_da_image: 0.6790 (0.6627) loss_da_instance: 0.6651 (0.6511) loss_da_consistency: 0.0059 (0.0076) time: 0.8357 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:21:16,646 maskrcnn_benchmark.trainer INFO: eta: 12:38:59 iter: 15560 loss: 1.5100 (1.5668) loss_classifier: 0.0647 (0.0933) loss_box_reg: 0.0769 (0.1022) loss_objectness: 0.0087 (0.0311) loss_rpn_box_reg: 0.0108 (0.0187) loss_da_image: 0.6768 (0.6627) loss_da_instance: 0.6631 (0.6511) loss_da_consistency: 0.0051 (0.0076) time: 0.8361 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:21:33,372 maskrcnn_benchmark.trainer INFO: eta: 12:38:43 iter: 15580 loss: 1.5901 (1.5668) loss_classifier: 0.0866 (0.0933) loss_box_reg: 0.0991 (0.1022) loss_objectness: 0.0256 (0.0311) loss_rpn_box_reg: 0.0164 (0.0187) loss_da_image: 0.6756 (0.6627) loss_da_instance: 0.6580 (0.6511) loss_da_consistency: 0.0067 (0.0076) time: 0.8357 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:21:50,122 maskrcnn_benchmark.trainer INFO: eta: 12:38:26 iter: 15600 loss: 1.5182 (1.5668) loss_classifier: 0.0715 (0.0933) loss_box_reg: 0.0671 (0.1022) loss_objectness: 0.0135 (0.0311) loss_rpn_box_reg: 0.0127 (0.0187) loss_da_image: 0.6770 (0.6627) loss_da_instance: 0.6477 (0.6511) loss_da_consistency: 0.0066 (0.0076) time: 0.8362 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:22:06,879 maskrcnn_benchmark.trainer INFO: eta: 12:38:09 iter: 15620 loss: 1.5078 (1.5667) loss_classifier: 0.0614 (0.0933) loss_box_reg: 0.0642 (0.1021) loss_objectness: 0.0142 (0.0311) loss_rpn_box_reg: 0.0097 (0.0187) loss_da_image: 0.6680 (0.6628) loss_da_instance: 0.6613 (0.6511) loss_da_consistency: 0.0068 (0.0076) time: 0.8375 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:22:23,609 maskrcnn_benchmark.trainer INFO: eta: 12:37:53 iter: 15640 loss: 1.5094 (1.5667) loss_classifier: 0.0646 (0.0933) loss_box_reg: 0.0560 (0.1021) loss_objectness: 0.0126 (0.0311) loss_rpn_box_reg: 0.0097 (0.0187) loss_da_image: 0.6687 (0.6628) loss_da_instance: 0.6689 (0.6511) loss_da_consistency: 0.0053 (0.0076) time: 0.8347 (0.8365) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:22:40,362 maskrcnn_benchmark.trainer INFO: eta: 12:37:36 iter: 15660 loss: 1.5183 (1.5666) loss_classifier: 0.0749 (0.0932) loss_box_reg: 0.0682 (0.1021) loss_objectness: 0.0090 (0.0310) loss_rpn_box_reg: 0.0101 (0.0187) loss_da_image: 0.6722 (0.6628) loss_da_instance: 0.6544 (0.6512) loss_da_consistency: 0.0062 (0.0076) time: 0.8379 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:22:57,114 maskrcnn_benchmark.trainer INFO: eta: 12:37:19 iter: 15680 loss: 1.5236 (1.5666) loss_classifier: 0.0564 (0.0932) loss_box_reg: 0.0731 (0.1021) loss_objectness: 0.0178 (0.0310) loss_rpn_box_reg: 0.0105 (0.0187) loss_da_image: 0.6706 (0.6628) loss_da_instance: 0.6500 (0.6512) loss_da_consistency: 0.0058 (0.0076) time: 0.8373 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:23:13,848 maskrcnn_benchmark.trainer INFO: eta: 12:37:03 iter: 15700 loss: 1.5231 (1.5665) loss_classifier: 0.0745 (0.0932) loss_box_reg: 0.0695 (0.1020) loss_objectness: 0.0189 (0.0310) loss_rpn_box_reg: 0.0133 (0.0187) loss_da_image: 0.6632 (0.6628) loss_da_instance: 0.6594 (0.6512) loss_da_consistency: 0.0058 (0.0076) time: 0.8352 (0.8365) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:23:30,600 maskrcnn_benchmark.trainer INFO: eta: 12:36:46 iter: 15720 loss: 1.5310 (1.5665) loss_classifier: 0.0717 (0.0932) loss_box_reg: 0.0819 (0.1020) loss_objectness: 0.0186 (0.0310) loss_rpn_box_reg: 0.0138 (0.0187) loss_da_image: 0.6783 (0.6628) loss_da_instance: 0.6577 (0.6512) loss_da_consistency: 0.0061 (0.0076) time: 0.8352 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:23:47,312 maskrcnn_benchmark.trainer INFO: eta: 12:36:29 iter: 15740 loss: 1.4550 (1.5664) loss_classifier: 0.0415 (0.0931) loss_box_reg: 0.0511 (0.1019) loss_objectness: 0.0076 (0.0310) loss_rpn_box_reg: 0.0059 (0.0187) loss_da_image: 0.6747 (0.6628) loss_da_instance: 0.6521 (0.6512) loss_da_consistency: 0.0053 (0.0076) time: 0.8353 (0.8365) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:24:04,055 maskrcnn_benchmark.trainer INFO: eta: 12:36:12 iter: 15760 loss: 1.5129 (1.5664) loss_classifier: 0.0605 (0.0931) loss_box_reg: 0.0860 (0.1019) loss_objectness: 0.0168 (0.0310) loss_rpn_box_reg: 0.0102 (0.0187) loss_da_image: 0.6794 (0.6628) loss_da_instance: 0.6621 (0.6512) loss_da_consistency: 0.0057 (0.0076) time: 0.8374 (0.8365) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:24:20,813 maskrcnn_benchmark.trainer INFO: eta: 12:35:56 iter: 15780 loss: 1.4819 (1.5663) loss_classifier: 0.0510 (0.0931) loss_box_reg: 0.0525 (0.1019) loss_objectness: 0.0096 (0.0310) loss_rpn_box_reg: 0.0087 (0.0187) loss_da_image: 0.6781 (0.6629) loss_da_instance: 0.6634 (0.6512) loss_da_consistency: 0.0060 (0.0076) time: 0.8370 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:24:37,563 maskrcnn_benchmark.trainer INFO: eta: 12:35:39 iter: 15800 loss: 1.4861 (1.5662) loss_classifier: 0.0491 (0.0930) loss_box_reg: 0.0578 (0.1018) loss_objectness: 0.0116 (0.0309) loss_rpn_box_reg: 0.0069 (0.0187) loss_da_image: 0.6727 (0.6629) loss_da_instance: 0.6634 (0.6512) loss_da_consistency: 0.0057 (0.0076) time: 0.8377 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:24:54,322 maskrcnn_benchmark.trainer INFO: eta: 12:35:23 iter: 15820 loss: 1.4437 (1.5661) loss_classifier: 0.0314 (0.0930) loss_box_reg: 0.0564 (0.1018) loss_objectness: 0.0083 (0.0309) loss_rpn_box_reg: 0.0044 (0.0186) loss_da_image: 0.6772 (0.6629) loss_da_instance: 0.6631 (0.6512) loss_da_consistency: 0.0050 (0.0076) time: 0.8393 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:25:11,077 maskrcnn_benchmark.trainer INFO: eta: 12:35:06 iter: 15840 loss: 1.4842 (1.5660) loss_classifier: 0.0602 (0.0929) loss_box_reg: 0.0509 (0.1017) loss_objectness: 0.0168 (0.0309) loss_rpn_box_reg: 0.0058 (0.0186) loss_da_image: 0.6767 (0.6629) loss_da_instance: 0.6705 (0.6513) loss_da_consistency: 0.0056 (0.0076) time: 0.8376 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:25:27,852 maskrcnn_benchmark.trainer INFO: eta: 12:34:49 iter: 15860 loss: 1.4519 (1.5660) loss_classifier: 0.0675 (0.0929) loss_box_reg: 0.0539 (0.1017) loss_objectness: 0.0244 (0.0309) loss_rpn_box_reg: 0.0066 (0.0186) loss_da_image: 0.6598 (0.6629) loss_da_instance: 0.6613 (0.6513) loss_da_consistency: 0.0071 (0.0076) time: 0.8381 (0.8365) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:25:44,600 maskrcnn_benchmark.trainer INFO: eta: 12:34:33 iter: 15880 loss: 1.4885 (1.5659) loss_classifier: 0.0621 (0.0929) loss_box_reg: 0.0834 (0.1017) loss_objectness: 0.0115 (0.0309) loss_rpn_box_reg: 0.0091 (0.0186) loss_da_image: 0.6610 (0.6629) loss_da_instance: 0.6565 (0.6513) loss_da_consistency: 0.0076 (0.0076) time: 0.8367 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:26:01,354 maskrcnn_benchmark.trainer INFO: eta: 12:34:16 iter: 15900 loss: 1.5136 (1.5659) loss_classifier: 0.0753 (0.0929) loss_box_reg: 0.0863 (0.1017) loss_objectness: 0.0111 (0.0309) loss_rpn_box_reg: 0.0084 (0.0186) loss_da_image: 0.6634 (0.6629) loss_da_instance: 0.6523 (0.6513) loss_da_consistency: 0.0068 (0.0076) time: 0.8368 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:26:18,114 maskrcnn_benchmark.trainer INFO: eta: 12:33:59 iter: 15920 loss: 1.5252 (1.5659) loss_classifier: 0.0788 (0.0929) loss_box_reg: 0.0811 (0.1017) loss_objectness: 0.0160 (0.0309) loss_rpn_box_reg: 0.0110 (0.0186) loss_da_image: 0.6612 (0.6629) loss_da_instance: 0.6460 (0.6513) loss_da_consistency: 0.0068 (0.0076) time: 0.8379 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:26:34,868 maskrcnn_benchmark.trainer INFO: eta: 12:33:43 iter: 15940 loss: 1.4545 (1.5658) loss_classifier: 0.0497 (0.0928) loss_box_reg: 0.0690 (0.1017) loss_objectness: 0.0136 (0.0309) loss_rpn_box_reg: 0.0113 (0.0186) loss_da_image: 0.6594 (0.6629) loss_da_instance: 0.6624 (0.6513) loss_da_consistency: 0.0064 (0.0076) time: 0.8380 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:26:51,639 maskrcnn_benchmark.trainer INFO: eta: 12:33:26 iter: 15960 loss: 1.4894 (1.5657) loss_classifier: 0.0492 (0.0928) loss_box_reg: 0.0499 (0.1016) loss_objectness: 0.0149 (0.0308) loss_rpn_box_reg: 0.0080 (0.0186) loss_da_image: 0.6687 (0.6629) loss_da_instance: 0.6679 (0.6513) loss_da_consistency: 0.0059 (0.0076) time: 0.8374 (0.8365) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:27:08,369 maskrcnn_benchmark.trainer INFO: eta: 12:33:09 iter: 15980 loss: 1.4832 (1.5656) loss_classifier: 0.0628 (0.0928) loss_box_reg: 0.0626 (0.1016) loss_objectness: 0.0106 (0.0308) loss_rpn_box_reg: 0.0118 (0.0186) loss_da_image: 0.6652 (0.6629) loss_da_instance: 0.6573 (0.6513) loss_da_consistency: 0.0057 (0.0076) time: 0.8359 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:27:25,060 maskrcnn_benchmark.trainer INFO: eta: 12:32:53 iter: 16000 loss: 1.5167 (1.5656) loss_classifier: 0.0631 (0.0927) loss_box_reg: 0.0781 (0.1016) loss_objectness: 0.0190 (0.0308) loss_rpn_box_reg: 0.0108 (0.0186) loss_da_image: 0.6680 (0.6629) loss_da_instance: 0.6542 (0.6513) loss_da_consistency: 0.0060 (0.0076) time: 0.8333 (0.8365) data: 0.0660 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:27:41,774 maskrcnn_benchmark.trainer INFO: eta: 12:32:36 iter: 16020 loss: 1.4514 (1.5656) loss_classifier: 0.0481 (0.0927) loss_box_reg: 0.0547 (0.1015) loss_objectness: 0.0090 (0.0308) loss_rpn_box_reg: 0.0055 (0.0186) loss_da_image: 0.6728 (0.6630) loss_da_instance: 0.6627 (0.6514) loss_da_consistency: 0.0061 (0.0076) time: 0.8333 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:27:58,454 maskrcnn_benchmark.trainer INFO: eta: 12:32:19 iter: 16040 loss: 1.5144 (1.5655) loss_classifier: 0.0628 (0.0927) loss_box_reg: 0.0734 (0.1015) loss_objectness: 0.0105 (0.0308) loss_rpn_box_reg: 0.0112 (0.0186) loss_da_image: 0.6715 (0.6630) loss_da_instance: 0.6603 (0.6514) loss_da_consistency: 0.0065 (0.0076) time: 0.8331 (0.8365) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:28:15,158 maskrcnn_benchmark.trainer INFO: eta: 12:32:02 iter: 16060 loss: 1.4916 (1.5655) loss_classifier: 0.0630 (0.0927) loss_box_reg: 0.0632 (0.1015) loss_objectness: 0.0128 (0.0308) loss_rpn_box_reg: 0.0067 (0.0186) loss_da_image: 0.6791 (0.6630) loss_da_instance: 0.6622 (0.6514) loss_da_consistency: 0.0065 (0.0076) time: 0.8350 (0.8365) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:28:31,847 maskrcnn_benchmark.trainer INFO: eta: 12:31:45 iter: 16080 loss: 1.5302 (1.5655) loss_classifier: 0.0791 (0.0926) loss_box_reg: 0.1068 (0.1015) loss_objectness: 0.0118 (0.0308) loss_rpn_box_reg: 0.0080 (0.0186) loss_da_image: 0.6754 (0.6630) loss_da_instance: 0.6456 (0.6514) loss_da_consistency: 0.0067 (0.0076) time: 0.8341 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:28:48,561 maskrcnn_benchmark.trainer INFO: eta: 12:31:28 iter: 16100 loss: 1.4635 (1.5654) loss_classifier: 0.0424 (0.0926) loss_box_reg: 0.0623 (0.1015) loss_objectness: 0.0089 (0.0307) loss_rpn_box_reg: 0.0033 (0.0186) loss_da_image: 0.6783 (0.6630) loss_da_instance: 0.6694 (0.6514) loss_da_consistency: 0.0054 (0.0076) time: 0.8363 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:29:05,246 maskrcnn_benchmark.trainer INFO: eta: 12:31:11 iter: 16120 loss: 1.4979 (1.5653) loss_classifier: 0.0588 (0.0926) loss_box_reg: 0.0820 (0.1014) loss_objectness: 0.0144 (0.0307) loss_rpn_box_reg: 0.0075 (0.0185) loss_da_image: 0.6749 (0.6630) loss_da_instance: 0.6621 (0.6514) loss_da_consistency: 0.0059 (0.0076) time: 0.8357 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:29:21,932 maskrcnn_benchmark.trainer INFO: eta: 12:30:55 iter: 16140 loss: 1.5190 (1.5653) loss_classifier: 0.0896 (0.0925) loss_box_reg: 0.0747 (0.1014) loss_objectness: 0.0132 (0.0307) loss_rpn_box_reg: 0.0101 (0.0185) loss_da_image: 0.6765 (0.6630) loss_da_instance: 0.6572 (0.6514) loss_da_consistency: 0.0063 (0.0076) time: 0.8330 (0.8365) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:29:38,577 maskrcnn_benchmark.trainer INFO: eta: 12:30:38 iter: 16160 loss: 1.5008 (1.5652) loss_classifier: 0.0689 (0.0925) loss_box_reg: 0.0538 (0.1014) loss_objectness: 0.0172 (0.0307) loss_rpn_box_reg: 0.0092 (0.0185) loss_da_image: 0.6739 (0.6631) loss_da_instance: 0.6535 (0.6514) loss_da_consistency: 0.0061 (0.0076) time: 0.8304 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:29:55,297 maskrcnn_benchmark.trainer INFO: eta: 12:30:21 iter: 16180 loss: 1.5044 (1.5652) loss_classifier: 0.0671 (0.0925) loss_box_reg: 0.0694 (0.1013) loss_objectness: 0.0117 (0.0307) loss_rpn_box_reg: 0.0083 (0.0185) loss_da_image: 0.6776 (0.6631) loss_da_instance: 0.6568 (0.6515) loss_da_consistency: 0.0060 (0.0076) time: 0.8364 (0.8365) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:30:12,020 maskrcnn_benchmark.trainer INFO: eta: 12:30:04 iter: 16200 loss: 1.5136 (1.5651) loss_classifier: 0.0787 (0.0925) loss_box_reg: 0.0697 (0.1013) loss_objectness: 0.0125 (0.0307) loss_rpn_box_reg: 0.0074 (0.0185) loss_da_image: 0.6698 (0.6631) loss_da_instance: 0.6579 (0.6515) loss_da_consistency: 0.0056 (0.0076) time: 0.8347 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:30:28,728 maskrcnn_benchmark.trainer INFO: eta: 12:29:47 iter: 16220 loss: 1.4949 (1.5651) loss_classifier: 0.0555 (0.0925) loss_box_reg: 0.0722 (0.1013) loss_objectness: 0.0105 (0.0306) loss_rpn_box_reg: 0.0068 (0.0185) loss_da_image: 0.6728 (0.6631) loss_da_instance: 0.6601 (0.6515) loss_da_consistency: 0.0062 (0.0076) time: 0.8362 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:30:45,398 maskrcnn_benchmark.trainer INFO: eta: 12:29:30 iter: 16240 loss: 1.4386 (1.5650) loss_classifier: 0.0420 (0.0924) loss_box_reg: 0.0598 (0.1013) loss_objectness: 0.0072 (0.0306) loss_rpn_box_reg: 0.0041 (0.0185) loss_da_image: 0.6746 (0.6631) loss_da_instance: 0.6482 (0.6515) loss_da_consistency: 0.0059 (0.0076) time: 0.8333 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:31:02,076 maskrcnn_benchmark.trainer INFO: eta: 12:29:13 iter: 16260 loss: 1.5090 (1.5650) loss_classifier: 0.0609 (0.0924) loss_box_reg: 0.0690 (0.1012) loss_objectness: 0.0157 (0.0306) loss_rpn_box_reg: 0.0114 (0.0185) loss_da_image: 0.6803 (0.6631) loss_da_instance: 0.6760 (0.6515) loss_da_consistency: 0.0069 (0.0076) time: 0.8342 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:31:18,763 maskrcnn_benchmark.trainer INFO: eta: 12:28:57 iter: 16280 loss: 1.5138 (1.5650) loss_classifier: 0.0648 (0.0924) loss_box_reg: 0.0844 (0.1012) loss_objectness: 0.0066 (0.0306) loss_rpn_box_reg: 0.0098 (0.0185) loss_da_image: 0.6764 (0.6632) loss_da_instance: 0.6589 (0.6515) loss_da_consistency: 0.0062 (0.0076) time: 0.8351 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:31:35,484 maskrcnn_benchmark.trainer INFO: eta: 12:28:40 iter: 16300 loss: 1.5626 (1.5649) loss_classifier: 0.0585 (0.0924) loss_box_reg: 0.0815 (0.1012) loss_objectness: 0.0100 (0.0306) loss_rpn_box_reg: 0.0074 (0.0185) loss_da_image: 0.6731 (0.6632) loss_da_instance: 0.6662 (0.6515) loss_da_consistency: 0.0063 (0.0076) time: 0.8353 (0.8365) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:31:52,144 maskrcnn_benchmark.trainer INFO: eta: 12:28:23 iter: 16320 loss: 1.5744 (1.5650) loss_classifier: 0.0789 (0.0924) loss_box_reg: 0.0994 (0.1012) loss_objectness: 0.0149 (0.0306) loss_rpn_box_reg: 0.0075 (0.0185) loss_da_image: 0.6837 (0.6632) loss_da_instance: 0.6696 (0.6516) loss_da_consistency: 0.0059 (0.0076) time: 0.8321 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:32:08,856 maskrcnn_benchmark.trainer INFO: eta: 12:28:06 iter: 16340 loss: 1.5411 (1.5649) loss_classifier: 0.0852 (0.0924) loss_box_reg: 0.0704 (0.1012) loss_objectness: 0.0112 (0.0306) loss_rpn_box_reg: 0.0076 (0.0185) loss_da_image: 0.6602 (0.6632) loss_da_instance: 0.6583 (0.6516) loss_da_consistency: 0.0056 (0.0076) time: 0.8345 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:32:25,574 maskrcnn_benchmark.trainer INFO: eta: 12:27:49 iter: 16360 loss: 1.4786 (1.5649) loss_classifier: 0.0620 (0.0923) loss_box_reg: 0.0782 (0.1012) loss_objectness: 0.0180 (0.0305) loss_rpn_box_reg: 0.0094 (0.0185) loss_da_image: 0.6700 (0.6632) loss_da_instance: 0.6566 (0.6516) loss_da_consistency: 0.0073 (0.0076) time: 0.8358 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:32:42,293 maskrcnn_benchmark.trainer INFO: eta: 12:27:33 iter: 16380 loss: 1.4717 (1.5648) loss_classifier: 0.0438 (0.0923) loss_box_reg: 0.0404 (0.1012) loss_objectness: 0.0062 (0.0305) loss_rpn_box_reg: 0.0053 (0.0185) loss_da_image: 0.6670 (0.6632) loss_da_instance: 0.6647 (0.6516) loss_da_consistency: 0.0053 (0.0076) time: 0.8349 (0.8365) data: 0.0620 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:32:59,016 maskrcnn_benchmark.trainer INFO: eta: 12:27:16 iter: 16400 loss: 1.5124 (1.5648) loss_classifier: 0.0670 (0.0923) loss_box_reg: 0.0722 (0.1011) loss_objectness: 0.0123 (0.0305) loss_rpn_box_reg: 0.0129 (0.0185) loss_da_image: 0.6667 (0.6632) loss_da_instance: 0.6578 (0.6516) loss_da_consistency: 0.0055 (0.0076) time: 0.8353 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:33:15,753 maskrcnn_benchmark.trainer INFO: eta: 12:26:59 iter: 16420 loss: 1.4818 (1.5647) loss_classifier: 0.0626 (0.0922) loss_box_reg: 0.0528 (0.1011) loss_objectness: 0.0126 (0.0305) loss_rpn_box_reg: 0.0094 (0.0185) loss_da_image: 0.6691 (0.6632) loss_da_instance: 0.6664 (0.6516) loss_da_consistency: 0.0061 (0.0076) time: 0.8371 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:33:32,484 maskrcnn_benchmark.trainer INFO: eta: 12:26:42 iter: 16440 loss: 1.5258 (1.5647) loss_classifier: 0.0987 (0.0922) loss_box_reg: 0.0797 (0.1011) loss_objectness: 0.0164 (0.0305) loss_rpn_box_reg: 0.0136 (0.0184) loss_da_image: 0.6681 (0.6632) loss_da_instance: 0.6588 (0.6516) loss_da_consistency: 0.0066 (0.0076) time: 0.8365 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:33:49,137 maskrcnn_benchmark.trainer INFO: eta: 12:26:25 iter: 16460 loss: 1.5341 (1.5647) loss_classifier: 0.0804 (0.0922) loss_box_reg: 0.1144 (0.1011) loss_objectness: 0.0149 (0.0305) loss_rpn_box_reg: 0.0083 (0.0184) loss_da_image: 0.6773 (0.6632) loss_da_instance: 0.6506 (0.6517) loss_da_consistency: 0.0058 (0.0076) time: 0.8329 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:34:05,836 maskrcnn_benchmark.trainer INFO: eta: 12:26:09 iter: 16480 loss: 1.5543 (1.5647) loss_classifier: 0.0803 (0.0922) loss_box_reg: 0.0984 (0.1011) loss_objectness: 0.0170 (0.0305) loss_rpn_box_reg: 0.0157 (0.0184) loss_da_image: 0.6695 (0.6632) loss_da_instance: 0.6415 (0.6517) loss_da_consistency: 0.0073 (0.0076) time: 0.8353 (0.8365) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:34:22,422 maskrcnn_benchmark.trainer INFO: eta: 12:25:51 iter: 16500 loss: 1.4811 (1.5646) loss_classifier: 0.0506 (0.0922) loss_box_reg: 0.0705 (0.1011) loss_objectness: 0.0126 (0.0304) loss_rpn_box_reg: 0.0098 (0.0184) loss_da_image: 0.6752 (0.6633) loss_da_instance: 0.6615 (0.6517) loss_da_consistency: 0.0061 (0.0076) time: 0.8298 (0.8365) data: 0.0675 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:34:39,016 maskrcnn_benchmark.trainer INFO: eta: 12:25:34 iter: 16520 loss: 1.5598 (1.5646) loss_classifier: 0.0779 (0.0922) loss_box_reg: 0.0914 (0.1011) loss_objectness: 0.0164 (0.0304) loss_rpn_box_reg: 0.0118 (0.0184) loss_da_image: 0.6650 (0.6633) loss_da_instance: 0.6561 (0.6517) loss_da_consistency: 0.0063 (0.0076) time: 0.8305 (0.8365) data: 0.0687 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:34:55,703 maskrcnn_benchmark.trainer INFO: eta: 12:25:17 iter: 16540 loss: 1.5570 (1.5646) loss_classifier: 0.0787 (0.0922) loss_box_reg: 0.1002 (0.1011) loss_objectness: 0.0140 (0.0304) loss_rpn_box_reg: 0.0076 (0.0184) loss_da_image: 0.6616 (0.6633) loss_da_instance: 0.6573 (0.6517) loss_da_consistency: 0.0067 (0.0076) time: 0.8333 (0.8365) data: 0.0667 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:35:12,438 maskrcnn_benchmark.trainer INFO: eta: 12:25:01 iter: 16560 loss: 1.5673 (1.5646) loss_classifier: 0.0905 (0.0922) loss_box_reg: 0.0964 (0.1011) loss_objectness: 0.0135 (0.0304) loss_rpn_box_reg: 0.0120 (0.0184) loss_da_image: 0.6666 (0.6633) loss_da_instance: 0.6681 (0.6517) loss_da_consistency: 0.0064 (0.0076) time: 0.8365 (0.8365) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:35:29,158 maskrcnn_benchmark.trainer INFO: eta: 12:24:44 iter: 16580 loss: 1.5306 (1.5646) loss_classifier: 0.0739 (0.0922) loss_box_reg: 0.0890 (0.1011) loss_objectness: 0.0127 (0.0304) loss_rpn_box_reg: 0.0113 (0.0184) loss_da_image: 0.6701 (0.6633) loss_da_instance: 0.6673 (0.6517) loss_da_consistency: 0.0056 (0.0076) time: 0.8365 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:35:45,852 maskrcnn_benchmark.trainer INFO: eta: 12:24:27 iter: 16600 loss: 1.4984 (1.5646) loss_classifier: 0.0639 (0.0921) loss_box_reg: 0.0732 (0.1011) loss_objectness: 0.0108 (0.0304) loss_rpn_box_reg: 0.0114 (0.0184) loss_da_image: 0.6615 (0.6633) loss_da_instance: 0.6574 (0.6517) loss_da_consistency: 0.0056 (0.0076) time: 0.8339 (0.8365) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:36:02,594 maskrcnn_benchmark.trainer INFO: eta: 12:24:10 iter: 16620 loss: 1.5199 (1.5645) loss_classifier: 0.0694 (0.0921) loss_box_reg: 0.0828 (0.1011) loss_objectness: 0.0141 (0.0304) loss_rpn_box_reg: 0.0111 (0.0184) loss_da_image: 0.6650 (0.6633) loss_da_instance: 0.6523 (0.6518) loss_da_consistency: 0.0063 (0.0076) time: 0.8368 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:36:19,335 maskrcnn_benchmark.trainer INFO: eta: 12:23:54 iter: 16640 loss: 1.5293 (1.5645) loss_classifier: 0.0628 (0.0921) loss_box_reg: 0.0682 (0.1010) loss_objectness: 0.0122 (0.0303) loss_rpn_box_reg: 0.0087 (0.0184) loss_da_image: 0.6653 (0.6633) loss_da_instance: 0.6602 (0.6518) loss_da_consistency: 0.0053 (0.0076) time: 0.8362 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:36:36,120 maskrcnn_benchmark.trainer INFO: eta: 12:23:37 iter: 16660 loss: 1.4901 (1.5644) loss_classifier: 0.0626 (0.0921) loss_box_reg: 0.0614 (0.1010) loss_objectness: 0.0086 (0.0303) loss_rpn_box_reg: 0.0071 (0.0184) loss_da_image: 0.6684 (0.6633) loss_da_instance: 0.6530 (0.6518) loss_da_consistency: 0.0057 (0.0076) time: 0.8378 (0.8365) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:36:52,900 maskrcnn_benchmark.trainer INFO: eta: 12:23:20 iter: 16680 loss: 1.5034 (1.5644) loss_classifier: 0.0634 (0.0921) loss_box_reg: 0.0503 (0.1010) loss_objectness: 0.0164 (0.0303) loss_rpn_box_reg: 0.0104 (0.0184) loss_da_image: 0.6697 (0.6633) loss_da_instance: 0.6654 (0.6518) loss_da_consistency: 0.0057 (0.0075) time: 0.8384 (0.8365) data: 0.0650 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:37:09,652 maskrcnn_benchmark.trainer INFO: eta: 12:23:04 iter: 16700 loss: 1.4772 (1.5644) loss_classifier: 0.0573 (0.0920) loss_box_reg: 0.0677 (0.1010) loss_objectness: 0.0082 (0.0303) loss_rpn_box_reg: 0.0088 (0.0184) loss_da_image: 0.6713 (0.6633) loss_da_instance: 0.6680 (0.6518) loss_da_consistency: 0.0057 (0.0075) time: 0.8389 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:37:26,418 maskrcnn_benchmark.trainer INFO: eta: 12:22:47 iter: 16720 loss: 1.5083 (1.5643) loss_classifier: 0.0731 (0.0920) loss_box_reg: 0.0922 (0.1010) loss_objectness: 0.0144 (0.0303) loss_rpn_box_reg: 0.0112 (0.0184) loss_da_image: 0.6612 (0.6633) loss_da_instance: 0.6529 (0.6518) loss_da_consistency: 0.0069 (0.0075) time: 0.8376 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:37:43,120 maskrcnn_benchmark.trainer INFO: eta: 12:22:30 iter: 16740 loss: 1.5204 (1.5643) loss_classifier: 0.0682 (0.0920) loss_box_reg: 0.0613 (0.1010) loss_objectness: 0.0074 (0.0303) loss_rpn_box_reg: 0.0096 (0.0184) loss_da_image: 0.6661 (0.6633) loss_da_instance: 0.6538 (0.6518) loss_da_consistency: 0.0060 (0.0075) time: 0.8331 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:37:59,807 maskrcnn_benchmark.trainer INFO: eta: 12:22:14 iter: 16760 loss: 1.4798 (1.5642) loss_classifier: 0.0577 (0.0920) loss_box_reg: 0.0549 (0.1009) loss_objectness: 0.0097 (0.0302) loss_rpn_box_reg: 0.0061 (0.0184) loss_da_image: 0.6741 (0.6633) loss_da_instance: 0.6587 (0.6518) loss_da_consistency: 0.0067 (0.0075) time: 0.8338 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:38:16,500 maskrcnn_benchmark.trainer INFO: eta: 12:21:57 iter: 16780 loss: 1.5039 (1.5642) loss_classifier: 0.0889 (0.0919) loss_box_reg: 0.0623 (0.1009) loss_objectness: 0.0171 (0.0302) loss_rpn_box_reg: 0.0077 (0.0184) loss_da_image: 0.6574 (0.6633) loss_da_instance: 0.6579 (0.6519) loss_da_consistency: 0.0060 (0.0075) time: 0.8338 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:38:33,211 maskrcnn_benchmark.trainer INFO: eta: 12:21:40 iter: 16800 loss: 1.4942 (1.5642) loss_classifier: 0.0617 (0.0919) loss_box_reg: 0.0635 (0.1009) loss_objectness: 0.0156 (0.0302) loss_rpn_box_reg: 0.0074 (0.0184) loss_da_image: 0.6631 (0.6633) loss_da_instance: 0.6697 (0.6519) loss_da_consistency: 0.0063 (0.0075) time: 0.8351 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:38:49,912 maskrcnn_benchmark.trainer INFO: eta: 12:21:23 iter: 16820 loss: 1.4440 (1.5641) loss_classifier: 0.0542 (0.0919) loss_box_reg: 0.0508 (0.1009) loss_objectness: 0.0117 (0.0302) loss_rpn_box_reg: 0.0079 (0.0184) loss_da_image: 0.6642 (0.6633) loss_da_instance: 0.6561 (0.6519) loss_da_consistency: 0.0063 (0.0075) time: 0.8345 (0.8365) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:39:06,648 maskrcnn_benchmark.trainer INFO: eta: 12:21:06 iter: 16840 loss: 1.4435 (1.5640) loss_classifier: 0.0518 (0.0919) loss_box_reg: 0.0771 (0.1008) loss_objectness: 0.0133 (0.0302) loss_rpn_box_reg: 0.0074 (0.0184) loss_da_image: 0.6746 (0.6633) loss_da_instance: 0.6552 (0.6519) loss_da_consistency: 0.0056 (0.0075) time: 0.8375 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:39:23,370 maskrcnn_benchmark.trainer INFO: eta: 12:20:50 iter: 16860 loss: 1.4995 (1.5640) loss_classifier: 0.0732 (0.0919) loss_box_reg: 0.0739 (0.1008) loss_objectness: 0.0165 (0.0302) loss_rpn_box_reg: 0.0119 (0.0184) loss_da_image: 0.6791 (0.6633) loss_da_instance: 0.6609 (0.6519) loss_da_consistency: 0.0066 (0.0075) time: 0.8354 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:39:40,083 maskrcnn_benchmark.trainer INFO: eta: 12:20:33 iter: 16880 loss: 1.5137 (1.5640) loss_classifier: 0.0657 (0.0919) loss_box_reg: 0.0732 (0.1008) loss_objectness: 0.0141 (0.0302) loss_rpn_box_reg: 0.0066 (0.0184) loss_da_image: 0.6771 (0.6634) loss_da_instance: 0.6464 (0.6519) loss_da_consistency: 0.0078 (0.0075) time: 0.8341 (0.8365) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:39:56,835 maskrcnn_benchmark.trainer INFO: eta: 12:20:16 iter: 16900 loss: 1.5025 (1.5639) loss_classifier: 0.0645 (0.0918) loss_box_reg: 0.0810 (0.1008) loss_objectness: 0.0108 (0.0301) loss_rpn_box_reg: 0.0065 (0.0183) loss_da_image: 0.6677 (0.6634) loss_da_instance: 0.6544 (0.6519) loss_da_consistency: 0.0068 (0.0075) time: 0.8375 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:40:13,548 maskrcnn_benchmark.trainer INFO: eta: 12:19:59 iter: 16920 loss: 1.5411 (1.5639) loss_classifier: 0.0775 (0.0918) loss_box_reg: 0.0630 (0.1008) loss_objectness: 0.0171 (0.0301) loss_rpn_box_reg: 0.0104 (0.0183) loss_da_image: 0.6718 (0.6634) loss_da_instance: 0.6736 (0.6519) loss_da_consistency: 0.0055 (0.0075) time: 0.8356 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:40:30,261 maskrcnn_benchmark.trainer INFO: eta: 12:19:43 iter: 16940 loss: 1.4243 (1.5638) loss_classifier: 0.0406 (0.0918) loss_box_reg: 0.0368 (0.1007) loss_objectness: 0.0082 (0.0301) loss_rpn_box_reg: 0.0042 (0.0183) loss_da_image: 0.6741 (0.6634) loss_da_instance: 0.6603 (0.6519) loss_da_consistency: 0.0049 (0.0075) time: 0.8350 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:40:46,954 maskrcnn_benchmark.trainer INFO: eta: 12:19:26 iter: 16960 loss: 1.5016 (1.5638) loss_classifier: 0.0526 (0.0917) loss_box_reg: 0.0571 (0.1007) loss_objectness: 0.0124 (0.0301) loss_rpn_box_reg: 0.0067 (0.0183) loss_da_image: 0.6659 (0.6634) loss_da_instance: 0.6610 (0.6520) loss_da_consistency: 0.0066 (0.0075) time: 0.8344 (0.8365) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:41:03,660 maskrcnn_benchmark.trainer INFO: eta: 12:19:09 iter: 16980 loss: 1.5267 (1.5638) loss_classifier: 0.0697 (0.0917) loss_box_reg: 0.0729 (0.1007) loss_objectness: 0.0176 (0.0301) loss_rpn_box_reg: 0.0156 (0.0183) loss_da_image: 0.6709 (0.6634) loss_da_instance: 0.6668 (0.6520) loss_da_consistency: 0.0051 (0.0075) time: 0.8345 (0.8365) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:41:20,396 maskrcnn_benchmark.trainer INFO: eta: 12:18:52 iter: 17000 loss: 1.4351 (1.5636) loss_classifier: 0.0349 (0.0917) loss_box_reg: 0.0379 (0.1006) loss_objectness: 0.0061 (0.0301) loss_rpn_box_reg: 0.0052 (0.0183) loss_da_image: 0.6767 (0.6634) loss_da_instance: 0.6621 (0.6520) loss_da_consistency: 0.0057 (0.0075) time: 0.8361 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:41:37,155 maskrcnn_benchmark.trainer INFO: eta: 12:18:36 iter: 17020 loss: 1.4867 (1.5636) loss_classifier: 0.0482 (0.0917) loss_box_reg: 0.0551 (0.1006) loss_objectness: 0.0128 (0.0301) loss_rpn_box_reg: 0.0086 (0.0183) loss_da_image: 0.6687 (0.6634) loss_da_instance: 0.6690 (0.6520) loss_da_consistency: 0.0064 (0.0075) time: 0.8376 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:41:53,863 maskrcnn_benchmark.trainer INFO: eta: 12:18:19 iter: 17040 loss: 1.4788 (1.5635) loss_classifier: 0.0516 (0.0916) loss_box_reg: 0.0523 (0.1006) loss_objectness: 0.0076 (0.0300) loss_rpn_box_reg: 0.0082 (0.0183) loss_da_image: 0.6783 (0.6635) loss_da_instance: 0.6693 (0.6520) loss_da_consistency: 0.0056 (0.0075) time: 0.8346 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:42:10,612 maskrcnn_benchmark.trainer INFO: eta: 12:18:02 iter: 17060 loss: 1.5456 (1.5635) loss_classifier: 0.0844 (0.0916) loss_box_reg: 0.0911 (0.1005) loss_objectness: 0.0163 (0.0300) loss_rpn_box_reg: 0.0091 (0.0183) loss_da_image: 0.6696 (0.6635) loss_da_instance: 0.6681 (0.6520) loss_da_consistency: 0.0056 (0.0075) time: 0.8362 (0.8365) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:42:27,362 maskrcnn_benchmark.trainer INFO: eta: 12:17:45 iter: 17080 loss: 1.4602 (1.5635) loss_classifier: 0.0500 (0.0916) loss_box_reg: 0.0354 (0.1005) loss_objectness: 0.0081 (0.0300) loss_rpn_box_reg: 0.0077 (0.0183) loss_da_image: 0.6737 (0.6635) loss_da_instance: 0.6767 (0.6521) loss_da_consistency: 0.0062 (0.0075) time: 0.8374 (0.8365) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:42:44,114 maskrcnn_benchmark.trainer INFO: eta: 12:17:29 iter: 17100 loss: 1.5483 (1.5634) loss_classifier: 0.0718 (0.0916) loss_box_reg: 0.0820 (0.1005) loss_objectness: 0.0147 (0.0300) loss_rpn_box_reg: 0.0162 (0.0183) loss_da_image: 0.6794 (0.6635) loss_da_instance: 0.6650 (0.6521) loss_da_consistency: 0.0058 (0.0075) time: 0.8378 (0.8365) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:43:00,882 maskrcnn_benchmark.trainer INFO: eta: 12:17:12 iter: 17120 loss: 1.5307 (1.5634) loss_classifier: 0.0736 (0.0916) loss_box_reg: 0.0750 (0.1005) loss_objectness: 0.0151 (0.0300) loss_rpn_box_reg: 0.0105 (0.0183) loss_da_image: 0.6750 (0.6635) loss_da_instance: 0.6596 (0.6521) loss_da_consistency: 0.0055 (0.0075) time: 0.8394 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:43:17,625 maskrcnn_benchmark.trainer INFO: eta: 12:16:56 iter: 17140 loss: 1.4752 (1.5634) loss_classifier: 0.0386 (0.0915) loss_box_reg: 0.0464 (0.1004) loss_objectness: 0.0074 (0.0300) loss_rpn_box_reg: 0.0065 (0.0183) loss_da_image: 0.6805 (0.6635) loss_da_instance: 0.6695 (0.6521) loss_da_consistency: 0.0049 (0.0075) time: 0.8364 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:43:34,363 maskrcnn_benchmark.trainer INFO: eta: 12:16:39 iter: 17160 loss: 1.5183 (1.5633) loss_classifier: 0.0587 (0.0915) loss_box_reg: 0.0635 (0.1004) loss_objectness: 0.0144 (0.0300) loss_rpn_box_reg: 0.0126 (0.0183) loss_da_image: 0.6676 (0.6635) loss_da_instance: 0.6667 (0.6521) loss_da_consistency: 0.0054 (0.0075) time: 0.8362 (0.8365) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:43:51,136 maskrcnn_benchmark.trainer INFO: eta: 12:16:22 iter: 17180 loss: 1.4939 (1.5633) loss_classifier: 0.0686 (0.0915) loss_box_reg: 0.0694 (0.1004) loss_objectness: 0.0172 (0.0300) loss_rpn_box_reg: 0.0101 (0.0183) loss_da_image: 0.6737 (0.6636) loss_da_instance: 0.6521 (0.6521) loss_da_consistency: 0.0053 (0.0075) time: 0.8379 (0.8365) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:44:07,869 maskrcnn_benchmark.trainer INFO: eta: 12:16:06 iter: 17200 loss: 1.4660 (1.5632) loss_classifier: 0.0592 (0.0915) loss_box_reg: 0.0463 (0.1003) loss_objectness: 0.0136 (0.0299) loss_rpn_box_reg: 0.0132 (0.0183) loss_da_image: 0.6690 (0.6636) loss_da_instance: 0.6636 (0.6522) loss_da_consistency: 0.0056 (0.0075) time: 0.8378 (0.8365) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:44:24,584 maskrcnn_benchmark.trainer INFO: eta: 12:15:49 iter: 17220 loss: 1.4770 (1.5632) loss_classifier: 0.0516 (0.0914) loss_box_reg: 0.0467 (0.1003) loss_objectness: 0.0143 (0.0299) loss_rpn_box_reg: 0.0095 (0.0183) loss_da_image: 0.6768 (0.6636) loss_da_instance: 0.6542 (0.6522) loss_da_consistency: 0.0063 (0.0075) time: 0.8339 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:44:41,336 maskrcnn_benchmark.trainer INFO: eta: 12:15:32 iter: 17240 loss: 1.5661 (1.5632) loss_classifier: 0.0722 (0.0914) loss_box_reg: 0.0930 (0.1003) loss_objectness: 0.0125 (0.0299) loss_rpn_box_reg: 0.0138 (0.0183) loss_da_image: 0.6673 (0.6636) loss_da_instance: 0.6597 (0.6522) loss_da_consistency: 0.0066 (0.0075) time: 0.8372 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:44:58,104 maskrcnn_benchmark.trainer INFO: eta: 12:15:15 iter: 17260 loss: 1.4961 (1.5631) loss_classifier: 0.0597 (0.0914) loss_box_reg: 0.0806 (0.1003) loss_objectness: 0.0076 (0.0299) loss_rpn_box_reg: 0.0075 (0.0183) loss_da_image: 0.6664 (0.6636) loss_da_instance: 0.6519 (0.6522) loss_da_consistency: 0.0062 (0.0075) time: 0.8379 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:45:14,824 maskrcnn_benchmark.trainer INFO: eta: 12:14:59 iter: 17280 loss: 1.4656 (1.5631) loss_classifier: 0.0489 (0.0914) loss_box_reg: 0.0376 (0.1002) loss_objectness: 0.0081 (0.0299) loss_rpn_box_reg: 0.0062 (0.0183) loss_da_image: 0.6734 (0.6636) loss_da_instance: 0.6709 (0.6522) loss_da_consistency: 0.0049 (0.0075) time: 0.8358 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:45:31,549 maskrcnn_benchmark.trainer INFO: eta: 12:14:42 iter: 17300 loss: 1.5397 (1.5631) loss_classifier: 0.0845 (0.0914) loss_box_reg: 0.0834 (0.1002) loss_objectness: 0.0159 (0.0299) loss_rpn_box_reg: 0.0118 (0.0183) loss_da_image: 0.6656 (0.6636) loss_da_instance: 0.6608 (0.6522) loss_da_consistency: 0.0060 (0.0075) time: 0.8363 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:45:48,301 maskrcnn_benchmark.trainer INFO: eta: 12:14:25 iter: 17320 loss: 1.4979 (1.5630) loss_classifier: 0.0630 (0.0913) loss_box_reg: 0.0602 (0.1002) loss_objectness: 0.0101 (0.0299) loss_rpn_box_reg: 0.0069 (0.0183) loss_da_image: 0.6737 (0.6636) loss_da_instance: 0.6601 (0.6522) loss_da_consistency: 0.0061 (0.0075) time: 0.8375 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:46:05,069 maskrcnn_benchmark.trainer INFO: eta: 12:14:09 iter: 17340 loss: 1.4470 (1.5629) loss_classifier: 0.0533 (0.0913) loss_box_reg: 0.0429 (0.1002) loss_objectness: 0.0075 (0.0298) loss_rpn_box_reg: 0.0042 (0.0183) loss_da_image: 0.6692 (0.6636) loss_da_instance: 0.6722 (0.6522) loss_da_consistency: 0.0064 (0.0075) time: 0.8387 (0.8365) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:46:21,833 maskrcnn_benchmark.trainer INFO: eta: 12:13:52 iter: 17360 loss: 1.4738 (1.5628) loss_classifier: 0.0432 (0.0913) loss_box_reg: 0.0542 (0.1001) loss_objectness: 0.0113 (0.0298) loss_rpn_box_reg: 0.0078 (0.0182) loss_da_image: 0.6697 (0.6636) loss_da_instance: 0.6598 (0.6523) loss_da_consistency: 0.0055 (0.0075) time: 0.8380 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:46:38,590 maskrcnn_benchmark.trainer INFO: eta: 12:13:35 iter: 17380 loss: 1.5537 (1.5629) loss_classifier: 0.0713 (0.0913) loss_box_reg: 0.0745 (0.1001) loss_objectness: 0.0130 (0.0298) loss_rpn_box_reg: 0.0103 (0.0182) loss_da_image: 0.6801 (0.6637) loss_da_instance: 0.6824 (0.6523) loss_da_consistency: 0.0066 (0.0075) time: 0.8379 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:46:55,314 maskrcnn_benchmark.trainer INFO: eta: 12:13:19 iter: 17400 loss: 1.4842 (1.5628) loss_classifier: 0.0558 (0.0913) loss_box_reg: 0.0616 (0.1001) loss_objectness: 0.0063 (0.0298) loss_rpn_box_reg: 0.0079 (0.0182) loss_da_image: 0.6731 (0.6637) loss_da_instance: 0.6628 (0.6523) loss_da_consistency: 0.0047 (0.0075) time: 0.8354 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:47:12,030 maskrcnn_benchmark.trainer INFO: eta: 12:13:02 iter: 17420 loss: 1.5269 (1.5628) loss_classifier: 0.1048 (0.0913) loss_box_reg: 0.0693 (0.1001) loss_objectness: 0.0128 (0.0298) loss_rpn_box_reg: 0.0108 (0.0182) loss_da_image: 0.6767 (0.6637) loss_da_instance: 0.6643 (0.6523) loss_da_consistency: 0.0044 (0.0075) time: 0.8348 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:47:28,775 maskrcnn_benchmark.trainer INFO: eta: 12:12:45 iter: 17440 loss: 1.4934 (1.5628) loss_classifier: 0.0629 (0.0913) loss_box_reg: 0.0511 (0.1000) loss_objectness: 0.0125 (0.0298) loss_rpn_box_reg: 0.0068 (0.0182) loss_da_image: 0.6734 (0.6637) loss_da_instance: 0.6705 (0.6523) loss_da_consistency: 0.0046 (0.0075) time: 0.8365 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:47:45,515 maskrcnn_benchmark.trainer INFO: eta: 12:12:29 iter: 17460 loss: 1.4675 (1.5627) loss_classifier: 0.0580 (0.0912) loss_box_reg: 0.0726 (0.1000) loss_objectness: 0.0084 (0.0297) loss_rpn_box_reg: 0.0051 (0.0182) loss_da_image: 0.6716 (0.6637) loss_da_instance: 0.6683 (0.6523) loss_da_consistency: 0.0051 (0.0075) time: 0.8366 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:48:02,226 maskrcnn_benchmark.trainer INFO: eta: 12:12:12 iter: 17480 loss: 1.5512 (1.5627) loss_classifier: 0.0832 (0.0912) loss_box_reg: 0.0754 (0.1000) loss_objectness: 0.0130 (0.0297) loss_rpn_box_reg: 0.0112 (0.0182) loss_da_image: 0.6764 (0.6637) loss_da_instance: 0.6683 (0.6524) loss_da_consistency: 0.0052 (0.0075) time: 0.8349 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:48:18,976 maskrcnn_benchmark.trainer INFO: eta: 12:11:55 iter: 17500 loss: 1.4763 (1.5627) loss_classifier: 0.0803 (0.0912) loss_box_reg: 0.0726 (0.1000) loss_objectness: 0.0166 (0.0297) loss_rpn_box_reg: 0.0101 (0.0182) loss_da_image: 0.6292 (0.6637) loss_da_instance: 0.6625 (0.6524) loss_da_consistency: 0.0076 (0.0075) time: 0.8383 (0.8365) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:48:18,979 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0017500.pth
2019-10-25 17:48:35,898 maskrcnn_benchmark.trainer INFO: eta: 12:11:39 iter: 17520 loss: 1.4338 (1.5626) loss_classifier: 0.0422 (0.0912) loss_box_reg: 0.0436 (0.1000) loss_objectness: 0.0104 (0.0297) loss_rpn_box_reg: 0.0052 (0.0182) loss_da_image: 0.6457 (0.6637) loss_da_instance: 0.6540 (0.6524) loss_da_consistency: 0.0071 (0.0075) time: 0.8361 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:48:52,671 maskrcnn_benchmark.trainer INFO: eta: 12:11:22 iter: 17540 loss: 1.5210 (1.5626) loss_classifier: 0.0716 (0.0912) loss_box_reg: 0.0824 (0.0999) loss_objectness: 0.0193 (0.0297) loss_rpn_box_reg: 0.0129 (0.0182) loss_da_image: 0.6589 (0.6637) loss_da_instance: 0.6747 (0.6524) loss_da_consistency: 0.0070 (0.0075) time: 0.8392 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:49:09,441 maskrcnn_benchmark.trainer INFO: eta: 12:11:06 iter: 17560 loss: 1.4700 (1.5625) loss_classifier: 0.0465 (0.0912) loss_box_reg: 0.0712 (0.0999) loss_objectness: 0.0079 (0.0297) loss_rpn_box_reg: 0.0057 (0.0182) loss_da_image: 0.6575 (0.6637) loss_da_instance: 0.6580 (0.6524) loss_da_consistency: 0.0060 (0.0075) time: 0.8385 (0.8365) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:49:26,174 maskrcnn_benchmark.trainer INFO: eta: 12:10:49 iter: 17580 loss: 1.4652 (1.5625) loss_classifier: 0.0637 (0.0912) loss_box_reg: 0.0501 (0.0999) loss_objectness: 0.0080 (0.0297) loss_rpn_box_reg: 0.0072 (0.0182) loss_da_image: 0.6650 (0.6637) loss_da_instance: 0.6688 (0.6524) loss_da_consistency: 0.0059 (0.0075) time: 0.8365 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:49:42,845 maskrcnn_benchmark.trainer INFO: eta: 12:10:32 iter: 17600 loss: 1.4691 (1.5624) loss_classifier: 0.0603 (0.0911) loss_box_reg: 0.0579 (0.0999) loss_objectness: 0.0128 (0.0297) loss_rpn_box_reg: 0.0102 (0.0182) loss_da_image: 0.6667 (0.6637) loss_da_instance: 0.6607 (0.6524) loss_da_consistency: 0.0049 (0.0075) time: 0.8323 (0.8365) data: 0.0682 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:49:59,626 maskrcnn_benchmark.trainer INFO: eta: 12:10:15 iter: 17620 loss: 1.4947 (1.5624) loss_classifier: 0.0629 (0.0911) loss_box_reg: 0.0776 (0.0999) loss_objectness: 0.0132 (0.0297) loss_rpn_box_reg: 0.0117 (0.0182) loss_da_image: 0.6771 (0.6637) loss_da_instance: 0.6533 (0.6524) loss_da_consistency: 0.0054 (0.0075) time: 0.8392 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:50:16,419 maskrcnn_benchmark.trainer INFO: eta: 12:09:59 iter: 17640 loss: 1.5288 (1.5624) loss_classifier: 0.0757 (0.0911) loss_box_reg: 0.0792 (0.0998) loss_objectness: 0.0145 (0.0297) loss_rpn_box_reg: 0.0112 (0.0182) loss_da_image: 0.6748 (0.6637) loss_da_instance: 0.6642 (0.6524) loss_da_consistency: 0.0061 (0.0075) time: 0.8402 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:50:33,186 maskrcnn_benchmark.trainer INFO: eta: 12:09:42 iter: 17660 loss: 1.4832 (1.5623) loss_classifier: 0.0494 (0.0911) loss_box_reg: 0.0648 (0.0998) loss_objectness: 0.0114 (0.0297) loss_rpn_box_reg: 0.0067 (0.0182) loss_da_image: 0.6751 (0.6637) loss_da_instance: 0.6606 (0.6525) loss_da_consistency: 0.0057 (0.0075) time: 0.8383 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:50:49,921 maskrcnn_benchmark.trainer INFO: eta: 12:09:26 iter: 17680 loss: 1.5455 (1.5623) loss_classifier: 0.0795 (0.0911) loss_box_reg: 0.0868 (0.0998) loss_objectness: 0.0137 (0.0296) loss_rpn_box_reg: 0.0133 (0.0182) loss_da_image: 0.6851 (0.6637) loss_da_instance: 0.6688 (0.6525) loss_da_consistency: 0.0059 (0.0075) time: 0.8362 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:51:06,658 maskrcnn_benchmark.trainer INFO: eta: 12:09:09 iter: 17700 loss: 1.5501 (1.5624) loss_classifier: 0.0922 (0.0911) loss_box_reg: 0.1067 (0.0998) loss_objectness: 0.0139 (0.0296) loss_rpn_box_reg: 0.0140 (0.0182) loss_da_image: 0.6706 (0.6637) loss_da_instance: 0.6444 (0.6525) loss_da_consistency: 0.0070 (0.0075) time: 0.8369 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:51:23,445 maskrcnn_benchmark.trainer INFO: eta: 12:08:52 iter: 17720 loss: 1.5289 (1.5623) loss_classifier: 0.0663 (0.0910) loss_box_reg: 0.0758 (0.0998) loss_objectness: 0.0081 (0.0296) loss_rpn_box_reg: 0.0056 (0.0181) loss_da_image: 0.6780 (0.6638) loss_da_instance: 0.6624 (0.6525) loss_da_consistency: 0.0062 (0.0075) time: 0.8401 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:51:40,208 maskrcnn_benchmark.trainer INFO: eta: 12:08:36 iter: 17740 loss: 1.5481 (1.5623) loss_classifier: 0.0688 (0.0910) loss_box_reg: 0.0902 (0.0998) loss_objectness: 0.0107 (0.0296) loss_rpn_box_reg: 0.0077 (0.0181) loss_da_image: 0.6771 (0.6638) loss_da_instance: 0.6568 (0.6525) loss_da_consistency: 0.0072 (0.0075) time: 0.8385 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:51:56,966 maskrcnn_benchmark.trainer INFO: eta: 12:08:19 iter: 17760 loss: 1.4828 (1.5622) loss_classifier: 0.0517 (0.0910) loss_box_reg: 0.0638 (0.0998) loss_objectness: 0.0094 (0.0296) loss_rpn_box_reg: 0.0069 (0.0181) loss_da_image: 0.6804 (0.6638) loss_da_instance: 0.6597 (0.6525) loss_da_consistency: 0.0059 (0.0075) time: 0.8386 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:52:13,732 maskrcnn_benchmark.trainer INFO: eta: 12:08:02 iter: 17780 loss: 1.5390 (1.5622) loss_classifier: 0.0734 (0.0910) loss_box_reg: 0.0614 (0.0997) loss_objectness: 0.0136 (0.0296) loss_rpn_box_reg: 0.0095 (0.0181) loss_da_image: 0.6738 (0.6638) loss_da_instance: 0.6678 (0.6525) loss_da_consistency: 0.0057 (0.0075) time: 0.8380 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:52:30,514 maskrcnn_benchmark.trainer INFO: eta: 12:07:46 iter: 17800 loss: 1.4661 (1.5621) loss_classifier: 0.0593 (0.0910) loss_box_reg: 0.0748 (0.0997) loss_objectness: 0.0087 (0.0295) loss_rpn_box_reg: 0.0088 (0.0181) loss_da_image: 0.6722 (0.6638) loss_da_instance: 0.6569 (0.6525) loss_da_consistency: 0.0061 (0.0075) time: 0.8381 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:52:47,296 maskrcnn_benchmark.trainer INFO: eta: 12:07:29 iter: 17820 loss: 1.5645 (1.5621) loss_classifier: 0.0887 (0.0910) loss_box_reg: 0.0836 (0.0997) loss_objectness: 0.0175 (0.0295) loss_rpn_box_reg: 0.0135 (0.0181) loss_da_image: 0.6737 (0.6638) loss_da_instance: 0.6406 (0.6525) loss_da_consistency: 0.0077 (0.0075) time: 0.8399 (0.8365) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:53:04,086 maskrcnn_benchmark.trainer INFO: eta: 12:07:13 iter: 17840 loss: 1.5104 (1.5621) loss_classifier: 0.0603 (0.0909) loss_box_reg: 0.0645 (0.0997) loss_objectness: 0.0057 (0.0295) loss_rpn_box_reg: 0.0085 (0.0181) loss_da_image: 0.6756 (0.6638) loss_da_instance: 0.6619 (0.6525) loss_da_consistency: 0.0068 (0.0074) time: 0.8374 (0.8365) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:53:20,855 maskrcnn_benchmark.trainer INFO: eta: 12:06:56 iter: 17860 loss: 1.5061 (1.5621) loss_classifier: 0.0612 (0.0909) loss_box_reg: 0.0917 (0.0997) loss_objectness: 0.0080 (0.0295) loss_rpn_box_reg: 0.0078 (0.0181) loss_da_image: 0.6748 (0.6639) loss_da_instance: 0.6562 (0.6525) loss_da_consistency: 0.0054 (0.0074) time: 0.8390 (0.8365) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:53:37,661 maskrcnn_benchmark.trainer INFO: eta: 12:06:40 iter: 17880 loss: 1.4888 (1.5620) loss_classifier: 0.0450 (0.0909) loss_box_reg: 0.0503 (0.0997) loss_objectness: 0.0063 (0.0295) loss_rpn_box_reg: 0.0078 (0.0181) loss_da_image: 0.6697 (0.6639) loss_da_instance: 0.6628 (0.6526) loss_da_consistency: 0.0059 (0.0074) time: 0.8407 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:53:54,468 maskrcnn_benchmark.trainer INFO: eta: 12:06:23 iter: 17900 loss: 1.5472 (1.5621) loss_classifier: 0.0979 (0.0909) loss_box_reg: 0.0922 (0.0997) loss_objectness: 0.0176 (0.0295) loss_rpn_box_reg: 0.0105 (0.0181) loss_da_image: 0.6770 (0.6639) loss_da_instance: 0.6585 (0.6526) loss_da_consistency: 0.0065 (0.0074) time: 0.8406 (0.8365) data: 0.0653 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:54:11,245 maskrcnn_benchmark.trainer INFO: eta: 12:06:06 iter: 17920 loss: 1.4914 (1.5620) loss_classifier: 0.0696 (0.0909) loss_box_reg: 0.0601 (0.0997) loss_objectness: 0.0073 (0.0295) loss_rpn_box_reg: 0.0047 (0.0181) loss_da_image: 0.6744 (0.6639) loss_da_instance: 0.6603 (0.6526) loss_da_consistency: 0.0058 (0.0074) time: 0.8396 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:54:28,028 maskrcnn_benchmark.trainer INFO: eta: 12:05:50 iter: 17940 loss: 1.4870 (1.5619) loss_classifier: 0.0481 (0.0909) loss_box_reg: 0.0733 (0.0996) loss_objectness: 0.0172 (0.0294) loss_rpn_box_reg: 0.0091 (0.0181) loss_da_image: 0.6705 (0.6639) loss_da_instance: 0.6538 (0.6526) loss_da_consistency: 0.0055 (0.0074) time: 0.8396 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:54:44,794 maskrcnn_benchmark.trainer INFO: eta: 12:05:33 iter: 17960 loss: 1.5258 (1.5619) loss_classifier: 0.0708 (0.0908) loss_box_reg: 0.0875 (0.0996) loss_objectness: 0.0197 (0.0294) loss_rpn_box_reg: 0.0110 (0.0181) loss_da_image: 0.6831 (0.6639) loss_da_instance: 0.6567 (0.6526) loss_da_consistency: 0.0061 (0.0074) time: 0.8380 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:55:01,541 maskrcnn_benchmark.trainer INFO: eta: 12:05:17 iter: 17980 loss: 1.5048 (1.5619) loss_classifier: 0.0493 (0.0908) loss_box_reg: 0.0792 (0.0996) loss_objectness: 0.0124 (0.0294) loss_rpn_box_reg: 0.0083 (0.0181) loss_da_image: 0.6640 (0.6639) loss_da_instance: 0.6507 (0.6526) loss_da_consistency: 0.0064 (0.0074) time: 0.8366 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:55:18,205 maskrcnn_benchmark.trainer INFO: eta: 12:05:00 iter: 18000 loss: 1.4680 (1.5618) loss_classifier: 0.0508 (0.0908) loss_box_reg: 0.0690 (0.0996) loss_objectness: 0.0094 (0.0294) loss_rpn_box_reg: 0.0081 (0.0181) loss_da_image: 0.6646 (0.6639) loss_da_instance: 0.6553 (0.6526) loss_da_consistency: 0.0062 (0.0074) time: 0.8329 (0.8365) data: 0.0660 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:55:34,897 maskrcnn_benchmark.trainer INFO: eta: 12:04:43 iter: 18020 loss: 1.5055 (1.5618) loss_classifier: 0.0634 (0.0908) loss_box_reg: 0.0823 (0.0996) loss_objectness: 0.0110 (0.0294) loss_rpn_box_reg: 0.0083 (0.0181) loss_da_image: 0.6656 (0.6639) loss_da_instance: 0.6489 (0.6526) loss_da_consistency: 0.0065 (0.0074) time: 0.8318 (0.8365) data: 0.0668 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:55:51,649 maskrcnn_benchmark.trainer INFO: eta: 12:04:26 iter: 18040 loss: 1.4840 (1.5617) loss_classifier: 0.0570 (0.0908) loss_box_reg: 0.0774 (0.0996) loss_objectness: 0.0127 (0.0294) loss_rpn_box_reg: 0.0075 (0.0181) loss_da_image: 0.6659 (0.6639) loss_da_instance: 0.6488 (0.6526) loss_da_consistency: 0.0055 (0.0074) time: 0.8372 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:56:08,431 maskrcnn_benchmark.trainer INFO: eta: 12:04:10 iter: 18060 loss: 1.4663 (1.5617) loss_classifier: 0.0538 (0.0908) loss_box_reg: 0.0596 (0.0995) loss_objectness: 0.0078 (0.0294) loss_rpn_box_reg: 0.0086 (0.0181) loss_da_image: 0.6685 (0.6639) loss_da_instance: 0.6538 (0.6526) loss_da_consistency: 0.0056 (0.0074) time: 0.8351 (0.8365) data: 0.0651 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:56:25,093 maskrcnn_benchmark.trainer INFO: eta: 12:03:53 iter: 18080 loss: 1.4894 (1.5617) loss_classifier: 0.0596 (0.0907) loss_box_reg: 0.0465 (0.0995) loss_objectness: 0.0153 (0.0294) loss_rpn_box_reg: 0.0093 (0.0180) loss_da_image: 0.6547 (0.6639) loss_da_instance: 0.6633 (0.6526) loss_da_consistency: 0.0057 (0.0074) time: 0.8341 (0.8365) data: 0.0675 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:56:41,778 maskrcnn_benchmark.trainer INFO: eta: 12:03:36 iter: 18100 loss: 1.5282 (1.5616) loss_classifier: 0.0787 (0.0907) loss_box_reg: 0.0710 (0.0995) loss_objectness: 0.0198 (0.0294) loss_rpn_box_reg: 0.0065 (0.0180) loss_da_image: 0.6539 (0.6639) loss_da_instance: 0.6600 (0.6527) loss_da_consistency: 0.0060 (0.0074) time: 0.8324 (0.8365) data: 0.0672 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:56:58,427 maskrcnn_benchmark.trainer INFO: eta: 12:03:19 iter: 18120 loss: 1.4442 (1.5615) loss_classifier: 0.0373 (0.0907) loss_box_reg: 0.0521 (0.0994) loss_objectness: 0.0056 (0.0293) loss_rpn_box_reg: 0.0047 (0.0180) loss_da_image: 0.6549 (0.6639) loss_da_instance: 0.6682 (0.6527) loss_da_consistency: 0.0048 (0.0074) time: 0.8325 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:57:15,182 maskrcnn_benchmark.trainer INFO: eta: 12:03:02 iter: 18140 loss: 1.4951 (1.5615) loss_classifier: 0.0645 (0.0907) loss_box_reg: 0.0684 (0.0994) loss_objectness: 0.0135 (0.0293) loss_rpn_box_reg: 0.0147 (0.0180) loss_da_image: 0.6556 (0.6639) loss_da_instance: 0.6571 (0.6527) loss_da_consistency: 0.0057 (0.0074) time: 0.8368 (0.8365) data: 0.0658 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:57:31,966 maskrcnn_benchmark.trainer INFO: eta: 12:02:46 iter: 18160 loss: 1.4847 (1.5614) loss_classifier: 0.0630 (0.0907) loss_box_reg: 0.0805 (0.0994) loss_objectness: 0.0152 (0.0293) loss_rpn_box_reg: 0.0115 (0.0180) loss_da_image: 0.6709 (0.6639) loss_da_instance: 0.6593 (0.6527) loss_da_consistency: 0.0061 (0.0074) time: 0.8403 (0.8365) data: 0.0673 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:57:48,877 maskrcnn_benchmark.trainer INFO: eta: 12:02:29 iter: 18180 loss: 1.4761 (1.5614) loss_classifier: 0.0509 (0.0906) loss_box_reg: 0.0691 (0.0994) loss_objectness: 0.0114 (0.0293) loss_rpn_box_reg: 0.0102 (0.0180) loss_da_image: 0.6673 (0.6639) loss_da_instance: 0.6560 (0.6527) loss_da_consistency: 0.0072 (0.0074) time: 0.8419 (0.8365) data: 0.0649 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:58:05,742 maskrcnn_benchmark.trainer INFO: eta: 12:02:13 iter: 18200 loss: 1.5332 (1.5613) loss_classifier: 0.0657 (0.0906) loss_box_reg: 0.0538 (0.0993) loss_objectness: 0.0150 (0.0293) loss_rpn_box_reg: 0.0099 (0.0180) loss_da_image: 0.6810 (0.6639) loss_da_instance: 0.6563 (0.6527) loss_da_consistency: 0.0059 (0.0074) time: 0.8374 (0.8366) data: 0.0660 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:58:22,455 maskrcnn_benchmark.trainer INFO: eta: 12:01:56 iter: 18220 loss: 1.4672 (1.5613) loss_classifier: 0.0430 (0.0906) loss_box_reg: 0.0626 (0.0993) loss_objectness: 0.0148 (0.0293) loss_rpn_box_reg: 0.0053 (0.0180) loss_da_image: 0.6703 (0.6639) loss_da_instance: 0.6617 (0.6527) loss_da_consistency: 0.0061 (0.0074) time: 0.8356 (0.8366) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:58:39,211 maskrcnn_benchmark.trainer INFO: eta: 12:01:40 iter: 18240 loss: 1.5325 (1.5613) loss_classifier: 0.0670 (0.0906) loss_box_reg: 0.0616 (0.0993) loss_objectness: 0.0210 (0.0293) loss_rpn_box_reg: 0.0105 (0.0180) loss_da_image: 0.6710 (0.6640) loss_da_instance: 0.6636 (0.6527) loss_da_consistency: 0.0065 (0.0074) time: 0.8378 (0.8366) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:58:55,940 maskrcnn_benchmark.trainer INFO: eta: 12:01:23 iter: 18260 loss: 1.5072 (1.5612) loss_classifier: 0.0713 (0.0905) loss_box_reg: 0.0911 (0.0993) loss_objectness: 0.0103 (0.0293) loss_rpn_box_reg: 0.0114 (0.0180) loss_da_image: 0.6668 (0.6640) loss_da_instance: 0.6539 (0.6527) loss_da_consistency: 0.0057 (0.0074) time: 0.8365 (0.8366) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:59:12,635 maskrcnn_benchmark.trainer INFO: eta: 12:01:06 iter: 18280 loss: 1.4524 (1.5612) loss_classifier: 0.0655 (0.0905) loss_box_reg: 0.0561 (0.0993) loss_objectness: 0.0133 (0.0293) loss_rpn_box_reg: 0.0085 (0.0180) loss_da_image: 0.6670 (0.6640) loss_da_instance: 0.6546 (0.6527) loss_da_consistency: 0.0056 (0.0074) time: 0.8355 (0.8366) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:59:29,326 maskrcnn_benchmark.trainer INFO: eta: 12:00:49 iter: 18300 loss: 1.4743 (1.5611) loss_classifier: 0.0619 (0.0905) loss_box_reg: 0.0612 (0.0992) loss_objectness: 0.0082 (0.0292) loss_rpn_box_reg: 0.0134 (0.0180) loss_da_image: 0.6710 (0.6640) loss_da_instance: 0.6660 (0.6527) loss_da_consistency: 0.0062 (0.0074) time: 0.8344 (0.8366) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 17:59:46,036 maskrcnn_benchmark.trainer INFO: eta: 12:00:32 iter: 18320 loss: 1.5137 (1.5611) loss_classifier: 0.0617 (0.0905) loss_box_reg: 0.0739 (0.0992) loss_objectness: 0.0102 (0.0292) loss_rpn_box_reg: 0.0086 (0.0180) loss_da_image: 0.6736 (0.6640) loss_da_instance: 0.6574 (0.6527) loss_da_consistency: 0.0062 (0.0074) time: 0.8350 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:00:02,835 maskrcnn_benchmark.trainer INFO: eta: 12:00:16 iter: 18340 loss: 1.5068 (1.5610) loss_classifier: 0.0606 (0.0904) loss_box_reg: 0.0757 (0.0992) loss_objectness: 0.0137 (0.0292) loss_rpn_box_reg: 0.0089 (0.0180) loss_da_image: 0.6716 (0.6640) loss_da_instance: 0.6595 (0.6528) loss_da_consistency: 0.0053 (0.0074) time: 0.8394 (0.8366) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:00:19,683 maskrcnn_benchmark.trainer INFO: eta: 11:59:59 iter: 18360 loss: 1.5011 (1.5610) loss_classifier: 0.0662 (0.0904) loss_box_reg: 0.0908 (0.0992) loss_objectness: 0.0115 (0.0292) loss_rpn_box_reg: 0.0122 (0.0180) loss_da_image: 0.6729 (0.6640) loss_da_instance: 0.6588 (0.6528) loss_da_consistency: 0.0055 (0.0074) time: 0.8412 (0.8366) data: 0.0668 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:00:36,415 maskrcnn_benchmark.trainer INFO: eta: 11:59:43 iter: 18380 loss: 1.5342 (1.5610) loss_classifier: 0.0736 (0.0904) loss_box_reg: 0.1036 (0.0992) loss_objectness: 0.0113 (0.0292) loss_rpn_box_reg: 0.0143 (0.0180) loss_da_image: 0.6718 (0.6640) loss_da_instance: 0.6484 (0.6528) loss_da_consistency: 0.0057 (0.0074) time: 0.8320 (0.8366) data: 0.0662 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:00:53,156 maskrcnn_benchmark.trainer INFO: eta: 11:59:26 iter: 18400 loss: 1.5307 (1.5610) loss_classifier: 0.0727 (0.0904) loss_box_reg: 0.0996 (0.0992) loss_objectness: 0.0112 (0.0292) loss_rpn_box_reg: 0.0116 (0.0180) loss_da_image: 0.6735 (0.6640) loss_da_instance: 0.6469 (0.6528) loss_da_consistency: 0.0067 (0.0074) time: 0.8336 (0.8366) data: 0.0682 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:01:10,010 maskrcnn_benchmark.trainer INFO: eta: 11:59:10 iter: 18420 loss: 1.5392 (1.5610) loss_classifier: 0.0612 (0.0904) loss_box_reg: 0.0820 (0.0992) loss_objectness: 0.0138 (0.0292) loss_rpn_box_reg: 0.0103 (0.0180) loss_da_image: 0.6775 (0.6640) loss_da_instance: 0.6566 (0.6528) loss_da_consistency: 0.0058 (0.0074) time: 0.8420 (0.8366) data: 0.0663 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:01:26,782 maskrcnn_benchmark.trainer INFO: eta: 11:58:53 iter: 18440 loss: 1.5113 (1.5609) loss_classifier: 0.0569 (0.0904) loss_box_reg: 0.0896 (0.0992) loss_objectness: 0.0107 (0.0291) loss_rpn_box_reg: 0.0086 (0.0180) loss_da_image: 0.6767 (0.6641) loss_da_instance: 0.6301 (0.6528) loss_da_consistency: 0.0071 (0.0074) time: 0.8389 (0.8366) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:01:43,513 maskrcnn_benchmark.trainer INFO: eta: 11:58:36 iter: 18460 loss: 1.4999 (1.5609) loss_classifier: 0.0613 (0.0904) loss_box_reg: 0.0613 (0.0992) loss_objectness: 0.0060 (0.0291) loss_rpn_box_reg: 0.0071 (0.0180) loss_da_image: 0.6823 (0.6641) loss_da_instance: 0.6779 (0.6528) loss_da_consistency: 0.0071 (0.0074) time: 0.8368 (0.8366) data: 0.0649 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:02:00,153 maskrcnn_benchmark.trainer INFO: eta: 11:58:19 iter: 18480 loss: 1.5067 (1.5609) loss_classifier: 0.0604 (0.0904) loss_box_reg: 0.0606 (0.0992) loss_objectness: 0.0159 (0.0291) loss_rpn_box_reg: 0.0048 (0.0180) loss_da_image: 0.6741 (0.6641) loss_da_instance: 0.6737 (0.6528) loss_da_consistency: 0.0064 (0.0074) time: 0.8328 (0.8366) data: 0.0681 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:02:16,888 maskrcnn_benchmark.trainer INFO: eta: 11:58:03 iter: 18500 loss: 1.4848 (1.5609) loss_classifier: 0.0655 (0.0904) loss_box_reg: 0.0554 (0.0991) loss_objectness: 0.0136 (0.0291) loss_rpn_box_reg: 0.0077 (0.0180) loss_da_image: 0.6667 (0.6641) loss_da_instance: 0.6736 (0.6528) loss_da_consistency: 0.0042 (0.0074) time: 0.8373 (0.8366) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:02:33,832 maskrcnn_benchmark.trainer INFO: eta: 11:57:46 iter: 18520 loss: 1.4825 (1.5608) loss_classifier: 0.0647 (0.0904) loss_box_reg: 0.0658 (0.0991) loss_objectness: 0.0108 (0.0291) loss_rpn_box_reg: 0.0087 (0.0180) loss_da_image: 0.6626 (0.6641) loss_da_instance: 0.6613 (0.6528) loss_da_consistency: 0.0056 (0.0074) time: 0.8429 (0.8366) data: 0.0662 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:02:50,724 maskrcnn_benchmark.trainer INFO: eta: 11:57:30 iter: 18540 loss: 1.5166 (1.5608) loss_classifier: 0.0709 (0.0904) loss_box_reg: 0.0731 (0.0991) loss_objectness: 0.0115 (0.0291) loss_rpn_box_reg: 0.0086 (0.0179) loss_da_image: 0.6677 (0.6641) loss_da_instance: 0.6573 (0.6529) loss_da_consistency: 0.0052 (0.0074) time: 0.8420 (0.8366) data: 0.0660 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:03:07,515 maskrcnn_benchmark.trainer INFO: eta: 11:57:14 iter: 18560 loss: 1.5119 (1.5608) loss_classifier: 0.0675 (0.0903) loss_box_reg: 0.0467 (0.0991) loss_objectness: 0.0147 (0.0291) loss_rpn_box_reg: 0.0068 (0.0179) loss_da_image: 0.6743 (0.6641) loss_da_instance: 0.6720 (0.6529) loss_da_consistency: 0.0047 (0.0074) time: 0.8373 (0.8366) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:03:24,251 maskrcnn_benchmark.trainer INFO: eta: 11:56:57 iter: 18580 loss: 1.4791 (1.5608) loss_classifier: 0.0621 (0.0903) loss_box_reg: 0.0667 (0.0991) loss_objectness: 0.0192 (0.0291) loss_rpn_box_reg: 0.0086 (0.0179) loss_da_image: 0.6757 (0.6641) loss_da_instance: 0.6622 (0.6529) loss_da_consistency: 0.0048 (0.0074) time: 0.8367 (0.8366) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:03:41,004 maskrcnn_benchmark.trainer INFO: eta: 11:56:40 iter: 18600 loss: 1.5020 (1.5608) loss_classifier: 0.0672 (0.0903) loss_box_reg: 0.0654 (0.0991) loss_objectness: 0.0171 (0.0291) loss_rpn_box_reg: 0.0124 (0.0179) loss_da_image: 0.6735 (0.6641) loss_da_instance: 0.6520 (0.6529) loss_da_consistency: 0.0055 (0.0074) time: 0.8368 (0.8366) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:03:57,707 maskrcnn_benchmark.trainer INFO: eta: 11:56:23 iter: 18620 loss: 1.5191 (1.5607) loss_classifier: 0.0707 (0.0903) loss_box_reg: 0.0625 (0.0990) loss_objectness: 0.0114 (0.0290) loss_rpn_box_reg: 0.0093 (0.0179) loss_da_image: 0.6702 (0.6641) loss_da_instance: 0.6613 (0.6529) loss_da_consistency: 0.0070 (0.0074) time: 0.8343 (0.8366) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:04:14,390 maskrcnn_benchmark.trainer INFO: eta: 11:56:06 iter: 18640 loss: 1.4758 (1.5607) loss_classifier: 0.0550 (0.0903) loss_box_reg: 0.0571 (0.0990) loss_objectness: 0.0101 (0.0290) loss_rpn_box_reg: 0.0114 (0.0179) loss_da_image: 0.6759 (0.6641) loss_da_instance: 0.6617 (0.6529) loss_da_consistency: 0.0061 (0.0074) time: 0.8345 (0.8366) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:04:31,075 maskrcnn_benchmark.trainer INFO: eta: 11:55:50 iter: 18660 loss: 1.5772 (1.5607) loss_classifier: 0.0963 (0.0903) loss_box_reg: 0.0958 (0.0990) loss_objectness: 0.0234 (0.0290) loss_rpn_box_reg: 0.0155 (0.0179) loss_da_image: 0.6743 (0.6641) loss_da_instance: 0.6499 (0.6529) loss_da_consistency: 0.0064 (0.0074) time: 0.8333 (0.8366) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:04:47,793 maskrcnn_benchmark.trainer INFO: eta: 11:55:33 iter: 18680 loss: 1.4685 (1.5606) loss_classifier: 0.0636 (0.0903) loss_box_reg: 0.0421 (0.0990) loss_objectness: 0.0074 (0.0290) loss_rpn_box_reg: 0.0067 (0.0179) loss_da_image: 0.6745 (0.6642) loss_da_instance: 0.6593 (0.6529) loss_da_consistency: 0.0053 (0.0074) time: 0.8356 (0.8366) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:05:04,528 maskrcnn_benchmark.trainer INFO: eta: 11:55:16 iter: 18700 loss: 1.4771 (1.5606) loss_classifier: 0.0469 (0.0902) loss_box_reg: 0.0585 (0.0989) loss_objectness: 0.0078 (0.0290) loss_rpn_box_reg: 0.0063 (0.0179) loss_da_image: 0.6817 (0.6642) loss_da_instance: 0.6787 (0.6529) loss_da_consistency: 0.0056 (0.0074) time: 0.8363 (0.8366) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:05:21,254 maskrcnn_benchmark.trainer INFO: eta: 11:54:59 iter: 18720 loss: 1.4706 (1.5605) loss_classifier: 0.0602 (0.0902) loss_box_reg: 0.0631 (0.0989) loss_objectness: 0.0105 (0.0290) loss_rpn_box_reg: 0.0046 (0.0179) loss_da_image: 0.6722 (0.6642) loss_da_instance: 0.6652 (0.6529) loss_da_consistency: 0.0058 (0.0074) time: 0.8354 (0.8366) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:05:38,007 maskrcnn_benchmark.trainer INFO: eta: 11:54:43 iter: 18740 loss: 1.4464 (1.5605) loss_classifier: 0.0530 (0.0902) loss_box_reg: 0.0527 (0.0989) loss_objectness: 0.0098 (0.0290) loss_rpn_box_reg: 0.0075 (0.0179) loss_da_image: 0.6789 (0.6642) loss_da_instance: 0.6634 (0.6530) loss_da_consistency: 0.0051 (0.0074) time: 0.8382 (0.8366) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:05:54,718 maskrcnn_benchmark.trainer INFO: eta: 11:54:26 iter: 18760 loss: 1.5273 (1.5604) loss_classifier: 0.0758 (0.0902) loss_box_reg: 0.0693 (0.0989) loss_objectness: 0.0131 (0.0289) loss_rpn_box_reg: 0.0144 (0.0179) loss_da_image: 0.6733 (0.6642) loss_da_instance: 0.6582 (0.6530) loss_da_consistency: 0.0059 (0.0074) time: 0.8342 (0.8366) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:06:11,406 maskrcnn_benchmark.trainer INFO: eta: 11:54:09 iter: 18780 loss: 1.4831 (1.5604) loss_classifier: 0.0567 (0.0902) loss_box_reg: 0.0930 (0.0989) loss_objectness: 0.0099 (0.0289) loss_rpn_box_reg: 0.0060 (0.0179) loss_da_image: 0.6748 (0.6642) loss_da_instance: 0.6480 (0.6530) loss_da_consistency: 0.0063 (0.0074) time: 0.8351 (0.8366) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:06:28,113 maskrcnn_benchmark.trainer INFO: eta: 11:53:52 iter: 18800 loss: 1.4748 (1.5603) loss_classifier: 0.0566 (0.0901) loss_box_reg: 0.0501 (0.0988) loss_objectness: 0.0148 (0.0289) loss_rpn_box_reg: 0.0071 (0.0179) loss_da_image: 0.6729 (0.6642) loss_da_instance: 0.6520 (0.6530) loss_da_consistency: 0.0052 (0.0074) time: 0.8342 (0.8366) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:06:44,898 maskrcnn_benchmark.trainer INFO: eta: 11:53:36 iter: 18820 loss: 1.4781 (1.5603) loss_classifier: 0.0552 (0.0901) loss_box_reg: 0.0702 (0.0988) loss_objectness: 0.0106 (0.0289) loss_rpn_box_reg: 0.0085 (0.0179) loss_da_image: 0.6795 (0.6642) loss_da_instance: 0.6601 (0.6530) loss_da_consistency: 0.0064 (0.0074) time: 0.8388 (0.8366) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:07:01,679 maskrcnn_benchmark.trainer INFO: eta: 11:53:19 iter: 18840 loss: 1.5541 (1.5603) loss_classifier: 0.0744 (0.0901) loss_box_reg: 0.0952 (0.0988) loss_objectness: 0.0176 (0.0289) loss_rpn_box_reg: 0.0101 (0.0179) loss_da_image: 0.6770 (0.6643) loss_da_instance: 0.6534 (0.6530) loss_da_consistency: 0.0065 (0.0074) time: 0.8387 (0.8366) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:07:18,406 maskrcnn_benchmark.trainer INFO: eta: 11:53:02 iter: 18860 loss: 1.4800 (1.5603) loss_classifier: 0.0408 (0.0901) loss_box_reg: 0.0744 (0.0988) loss_objectness: 0.0057 (0.0289) loss_rpn_box_reg: 0.0087 (0.0179) loss_da_image: 0.6741 (0.6643) loss_da_instance: 0.6750 (0.6530) loss_da_consistency: 0.0053 (0.0074) time: 0.8371 (0.8366) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:07:35,183 maskrcnn_benchmark.trainer INFO: eta: 11:52:46 iter: 18880 loss: 1.5376 (1.5603) loss_classifier: 0.0723 (0.0901) loss_box_reg: 0.0825 (0.0988) loss_objectness: 0.0170 (0.0289) loss_rpn_box_reg: 0.0097 (0.0179) loss_da_image: 0.6773 (0.6643) loss_da_instance: 0.6604 (0.6530) loss_da_consistency: 0.0053 (0.0074) time: 0.8369 (0.8366) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:07:51,862 maskrcnn_benchmark.trainer INFO: eta: 11:52:29 iter: 18900 loss: 1.5429 (1.5603) loss_classifier: 0.0753 (0.0901) loss_box_reg: 0.0670 (0.0988) loss_objectness: 0.0175 (0.0289) loss_rpn_box_reg: 0.0101 (0.0179) loss_da_image: 0.6793 (0.6643) loss_da_instance: 0.6607 (0.6530) loss_da_consistency: 0.0046 (0.0074) time: 0.8349 (0.8366) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:08:08,575 maskrcnn_benchmark.trainer INFO: eta: 11:52:12 iter: 18920 loss: 1.5144 (1.5602) loss_classifier: 0.0666 (0.0901) loss_box_reg: 0.0747 (0.0987) loss_objectness: 0.0079 (0.0289) loss_rpn_box_reg: 0.0105 (0.0179) loss_da_image: 0.6802 (0.6643) loss_da_instance: 0.6652 (0.6531) loss_da_consistency: 0.0045 (0.0074) time: 0.8354 (0.8366) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:08:25,339 maskrcnn_benchmark.trainer INFO: eta: 11:51:55 iter: 18940 loss: 1.5639 (1.5602) loss_classifier: 0.0774 (0.0901) loss_box_reg: 0.1000 (0.0987) loss_objectness: 0.0190 (0.0288) loss_rpn_box_reg: 0.0142 (0.0179) loss_da_image: 0.6747 (0.6643) loss_da_instance: 0.6499 (0.6531) loss_da_consistency: 0.0064 (0.0074) time: 0.8387 (0.8366) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:08:42,054 maskrcnn_benchmark.trainer INFO: eta: 11:51:39 iter: 18960 loss: 1.5177 (1.5602) loss_classifier: 0.0700 (0.0900) loss_box_reg: 0.0730 (0.0987) loss_objectness: 0.0115 (0.0288) loss_rpn_box_reg: 0.0100 (0.0179) loss_da_image: 0.6688 (0.6643) loss_da_instance: 0.6579 (0.6531) loss_da_consistency: 0.0066 (0.0074) time: 0.8351 (0.8366) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:08:58,765 maskrcnn_benchmark.trainer INFO: eta: 11:51:22 iter: 18980 loss: 1.5134 (1.5602) loss_classifier: 0.0458 (0.0900) loss_box_reg: 0.0971 (0.0987) loss_objectness: 0.0134 (0.0288) loss_rpn_box_reg: 0.0137 (0.0179) loss_da_image: 0.6754 (0.6644) loss_da_instance: 0.6696 (0.6531) loss_da_consistency: 0.0060 (0.0074) time: 0.8364 (0.8366) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:09:15,470 maskrcnn_benchmark.trainer INFO: eta: 11:51:05 iter: 19000 loss: 1.4869 (1.5602) loss_classifier: 0.0638 (0.0900) loss_box_reg: 0.0697 (0.0987) loss_objectness: 0.0074 (0.0288) loss_rpn_box_reg: 0.0051 (0.0178) loss_da_image: 0.6605 (0.6643) loss_da_instance: 0.6647 (0.6531) loss_da_consistency: 0.0054 (0.0074) time: 0.8353 (0.8366) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:09:32,201 maskrcnn_benchmark.trainer INFO: eta: 11:50:48 iter: 19020 loss: 1.4827 (1.5601) loss_classifier: 0.0469 (0.0900) loss_box_reg: 0.0730 (0.0987) loss_objectness: 0.0062 (0.0288) loss_rpn_box_reg: 0.0045 (0.0178) loss_da_image: 0.6710 (0.6644) loss_da_instance: 0.6615 (0.6531) loss_da_consistency: 0.0058 (0.0074) time: 0.8358 (0.8366) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:09:48,958 maskrcnn_benchmark.trainer INFO: eta: 11:50:32 iter: 19040 loss: 1.5412 (1.5602) loss_classifier: 0.0811 (0.0900) loss_box_reg: 0.0827 (0.0987) loss_objectness: 0.0135 (0.0288) loss_rpn_box_reg: 0.0141 (0.0178) loss_da_image: 0.6788 (0.6644) loss_da_instance: 0.6614 (0.6531) loss_da_consistency: 0.0066 (0.0074) time: 0.8363 (0.8366) data: 0.0647 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:10:05,673 maskrcnn_benchmark.trainer INFO: eta: 11:50:15 iter: 19060 loss: 1.5507 (1.5602) loss_classifier: 0.0809 (0.0900) loss_box_reg: 0.0808 (0.0987) loss_objectness: 0.0104 (0.0288) loss_rpn_box_reg: 0.0126 (0.0178) loss_da_image: 0.6750 (0.6644) loss_da_instance: 0.6475 (0.6531) loss_da_consistency: 0.0060 (0.0074) time: 0.8341 (0.8366) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:10:22,381 maskrcnn_benchmark.trainer INFO: eta: 11:49:58 iter: 19080 loss: 1.4635 (1.5601) loss_classifier: 0.0623 (0.0899) loss_box_reg: 0.0406 (0.0987) loss_objectness: 0.0071 (0.0288) loss_rpn_box_reg: 0.0043 (0.0178) loss_da_image: 0.6748 (0.6644) loss_da_instance: 0.6606 (0.6531) loss_da_consistency: 0.0050 (0.0074) time: 0.8347 (0.8366) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:10:39,012 maskrcnn_benchmark.trainer INFO: eta: 11:49:41 iter: 19100 loss: 1.5231 (1.5601) loss_classifier: 0.0641 (0.0899) loss_box_reg: 0.0573 (0.0987) loss_objectness: 0.0116 (0.0288) loss_rpn_box_reg: 0.0122 (0.0178) loss_da_image: 0.6792 (0.6644) loss_da_instance: 0.6619 (0.6531) loss_da_consistency: 0.0058 (0.0074) time: 0.8321 (0.8366) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:10:55,681 maskrcnn_benchmark.trainer INFO: eta: 11:49:24 iter: 19120 loss: 1.4958 (1.5600) loss_classifier: 0.0556 (0.0899) loss_box_reg: 0.0497 (0.0986) loss_objectness: 0.0113 (0.0287) loss_rpn_box_reg: 0.0061 (0.0178) loss_da_image: 0.6751 (0.6644) loss_da_instance: 0.6598 (0.6531) loss_da_consistency: 0.0051 (0.0073) time: 0.8339 (0.8366) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:11:12,384 maskrcnn_benchmark.trainer INFO: eta: 11:49:07 iter: 19140 loss: 1.5374 (1.5600) loss_classifier: 0.0814 (0.0899) loss_box_reg: 0.0745 (0.0986) loss_objectness: 0.0158 (0.0287) loss_rpn_box_reg: 0.0094 (0.0178) loss_da_image: 0.6721 (0.6644) loss_da_instance: 0.6599 (0.6532) loss_da_consistency: 0.0052 (0.0073) time: 0.8364 (0.8366) data: 0.0648 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:11:29,098 maskrcnn_benchmark.trainer INFO: eta: 11:48:51 iter: 19160 loss: 1.4790 (1.5600) loss_classifier: 0.0463 (0.0899) loss_box_reg: 0.0698 (0.0986) loss_objectness: 0.0148 (0.0287) loss_rpn_box_reg: 0.0090 (0.0178) loss_da_image: 0.6727 (0.6644) loss_da_instance: 0.6621 (0.6532) loss_da_consistency: 0.0054 (0.0073) time: 0.8358 (0.8366) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:11:45,805 maskrcnn_benchmark.trainer INFO: eta: 11:48:34 iter: 19180 loss: 1.5480 (1.5600) loss_classifier: 0.0561 (0.0898) loss_box_reg: 0.0908 (0.0986) loss_objectness: 0.0116 (0.0287) loss_rpn_box_reg: 0.0109 (0.0178) loss_da_image: 0.6676 (0.6644) loss_da_instance: 0.6635 (0.6532) loss_da_consistency: 0.0060 (0.0073) time: 0.8339 (0.8366) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:12:02,562 maskrcnn_benchmark.trainer INFO: eta: 11:48:17 iter: 19200 loss: 1.4760 (1.5599) loss_classifier: 0.0525 (0.0898) loss_box_reg: 0.0571 (0.0986) loss_objectness: 0.0111 (0.0287) loss_rpn_box_reg: 0.0074 (0.0178) loss_da_image: 0.6654 (0.6644) loss_da_instance: 0.6590 (0.6532) loss_da_consistency: 0.0053 (0.0073) time: 0.8368 (0.8366) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:12:19,282 maskrcnn_benchmark.trainer INFO: eta: 11:48:00 iter: 19220 loss: 1.5250 (1.5598) loss_classifier: 0.0658 (0.0898) loss_box_reg: 0.0650 (0.0986) loss_objectness: 0.0099 (0.0287) loss_rpn_box_reg: 0.0090 (0.0178) loss_da_image: 0.6737 (0.6645) loss_da_instance: 0.6549 (0.6532) loss_da_consistency: 0.0061 (0.0073) time: 0.8354 (0.8366) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:12:35,970 maskrcnn_benchmark.trainer INFO: eta: 11:47:44 iter: 19240 loss: 1.4598 (1.5598) loss_classifier: 0.0617 (0.0898) loss_box_reg: 0.0637 (0.0985) loss_objectness: 0.0111 (0.0287) loss_rpn_box_reg: 0.0076 (0.0178) loss_da_image: 0.6758 (0.6645) loss_da_instance: 0.6617 (0.6532) loss_da_consistency: 0.0058 (0.0073) time: 0.8351 (0.8366) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:12:52,686 maskrcnn_benchmark.trainer INFO: eta: 11:47:27 iter: 19260 loss: 1.4994 (1.5597) loss_classifier: 0.0577 (0.0897) loss_box_reg: 0.0647 (0.0985) loss_objectness: 0.0158 (0.0287) loss_rpn_box_reg: 0.0081 (0.0178) loss_da_image: 0.6708 (0.6645) loss_da_instance: 0.6571 (0.6532) loss_da_consistency: 0.0060 (0.0073) time: 0.8343 (0.8366) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:13:09,397 maskrcnn_benchmark.trainer INFO: eta: 11:47:10 iter: 19280 loss: 1.5226 (1.5597) loss_classifier: 0.0804 (0.0897) loss_box_reg: 0.0777 (0.0985) loss_objectness: 0.0130 (0.0286) loss_rpn_box_reg: 0.0108 (0.0178) loss_da_image: 0.6761 (0.6645) loss_da_instance: 0.6606 (0.6532) loss_da_consistency: 0.0065 (0.0073) time: 0.8355 (0.8366) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:13:26,129 maskrcnn_benchmark.trainer INFO: eta: 11:46:53 iter: 19300 loss: 1.5159 (1.5597) loss_classifier: 0.0666 (0.0897) loss_box_reg: 0.0918 (0.0985) loss_objectness: 0.0127 (0.0286) loss_rpn_box_reg: 0.0114 (0.0178) loss_da_image: 0.6718 (0.6645) loss_da_instance: 0.6501 (0.6532) loss_da_consistency: 0.0066 (0.0073) time: 0.8360 (0.8366) data: 0.0658 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:13:42,910 maskrcnn_benchmark.trainer INFO: eta: 11:46:37 iter: 19320 loss: 1.4643 (1.5596) loss_classifier: 0.0540 (0.0897) loss_box_reg: 0.0758 (0.0985) loss_objectness: 0.0108 (0.0286) loss_rpn_box_reg: 0.0085 (0.0178) loss_da_image: 0.6714 (0.6645) loss_da_instance: 0.6431 (0.6532) loss_da_consistency: 0.0074 (0.0073) time: 0.8381 (0.8366) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:13:59,671 maskrcnn_benchmark.trainer INFO: eta: 11:46:20 iter: 19340 loss: 1.5124 (1.5596) loss_classifier: 0.0722 (0.0897) loss_box_reg: 0.0548 (0.0984) loss_objectness: 0.0120 (0.0286) loss_rpn_box_reg: 0.0048 (0.0178) loss_da_image: 0.6749 (0.6645) loss_da_instance: 0.6765 (0.6532) loss_da_consistency: 0.0052 (0.0073) time: 0.8371 (0.8366) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:14:16,455 maskrcnn_benchmark.trainer INFO: eta: 11:46:03 iter: 19360 loss: 1.4853 (1.5595) loss_classifier: 0.0610 (0.0896) loss_box_reg: 0.0539 (0.0984) loss_objectness: 0.0094 (0.0286) loss_rpn_box_reg: 0.0084 (0.0178) loss_da_image: 0.6713 (0.6645) loss_da_instance: 0.6582 (0.6533) loss_da_consistency: 0.0057 (0.0073) time: 0.8388 (0.8366) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:14:33,188 maskrcnn_benchmark.trainer INFO: eta: 11:45:47 iter: 19380 loss: 1.5045 (1.5595) loss_classifier: 0.0645 (0.0896) loss_box_reg: 0.0742 (0.0984) loss_objectness: 0.0122 (0.0286) loss_rpn_box_reg: 0.0096 (0.0178) loss_da_image: 0.6735 (0.6645) loss_da_instance: 0.6626 (0.6533) loss_da_consistency: 0.0061 (0.0073) time: 0.8347 (0.8366) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:14:49,917 maskrcnn_benchmark.trainer INFO: eta: 11:45:30 iter: 19400 loss: 1.4957 (1.5595) loss_classifier: 0.0621 (0.0896) loss_box_reg: 0.0845 (0.0984) loss_objectness: 0.0071 (0.0286) loss_rpn_box_reg: 0.0093 (0.0178) loss_da_image: 0.6726 (0.6645) loss_da_instance: 0.6518 (0.6533) loss_da_consistency: 0.0060 (0.0073) time: 0.8367 (0.8366) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:15:06,702 maskrcnn_benchmark.trainer INFO: eta: 11:45:13 iter: 19420 loss: 1.5379 (1.5595) loss_classifier: 0.0881 (0.0896) loss_box_reg: 0.0802 (0.0984) loss_objectness: 0.0204 (0.0286) loss_rpn_box_reg: 0.0138 (0.0178) loss_da_image: 0.6749 (0.6645) loss_da_instance: 0.6565 (0.6533) loss_da_consistency: 0.0054 (0.0073) time: 0.8386 (0.8366) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:15:23,493 maskrcnn_benchmark.trainer INFO: eta: 11:44:57 iter: 19440 loss: 1.5198 (1.5594) loss_classifier: 0.0612 (0.0896) loss_box_reg: 0.0816 (0.0984) loss_objectness: 0.0127 (0.0286) loss_rpn_box_reg: 0.0073 (0.0178) loss_da_image: 0.6733 (0.6645) loss_da_instance: 0.6549 (0.6533) loss_da_consistency: 0.0062 (0.0073) time: 0.8381 (0.8366) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:15:40,209 maskrcnn_benchmark.trainer INFO: eta: 11:44:40 iter: 19460 loss: 1.4508 (1.5593) loss_classifier: 0.0476 (0.0895) loss_box_reg: 0.0649 (0.0983) loss_objectness: 0.0103 (0.0285) loss_rpn_box_reg: 0.0075 (0.0178) loss_da_image: 0.6734 (0.6646) loss_da_instance: 0.6588 (0.6533) loss_da_consistency: 0.0071 (0.0073) time: 0.8345 (0.8366) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:15:56,825 maskrcnn_benchmark.trainer INFO: eta: 11:44:23 iter: 19480 loss: 1.4633 (1.5593) loss_classifier: 0.0525 (0.0895) loss_box_reg: 0.0633 (0.0983) loss_objectness: 0.0071 (0.0285) loss_rpn_box_reg: 0.0050 (0.0178) loss_da_image: 0.6745 (0.6646) loss_da_instance: 0.6703 (0.6533) loss_da_consistency: 0.0067 (0.0073) time: 0.8303 (0.8366) data: 0.0666 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:16:13,481 maskrcnn_benchmark.trainer INFO: eta: 11:44:06 iter: 19500 loss: 1.4418 (1.5592) loss_classifier: 0.0347 (0.0895) loss_box_reg: 0.0446 (0.0983) loss_objectness: 0.0062 (0.0285) loss_rpn_box_reg: 0.0052 (0.0178) loss_da_image: 0.6747 (0.6646) loss_da_instance: 0.6692 (0.6533) loss_da_consistency: 0.0050 (0.0073) time: 0.8320 (0.8366) data: 0.0673 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:16:30,118 maskrcnn_benchmark.trainer INFO: eta: 11:43:49 iter: 19520 loss: 1.5461 (1.5592) loss_classifier: 0.0781 (0.0895) loss_box_reg: 0.1051 (0.0983) loss_objectness: 0.0130 (0.0285) loss_rpn_box_reg: 0.0129 (0.0178) loss_da_image: 0.6790 (0.6646) loss_da_instance: 0.6626 (0.6533) loss_da_consistency: 0.0070 (0.0073) time: 0.8317 (0.8366) data: 0.0682 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:16:46,807 maskrcnn_benchmark.trainer INFO: eta: 11:43:32 iter: 19540 loss: 1.5014 (1.5592) loss_classifier: 0.0591 (0.0894) loss_box_reg: 0.0819 (0.0983) loss_objectness: 0.0172 (0.0285) loss_rpn_box_reg: 0.0134 (0.0178) loss_da_image: 0.6706 (0.6646) loss_da_instance: 0.6683 (0.6533) loss_da_consistency: 0.0059 (0.0073) time: 0.8330 (0.8366) data: 0.0665 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:17:03,483 maskrcnn_benchmark.trainer INFO: eta: 11:43:15 iter: 19560 loss: 1.5015 (1.5592) loss_classifier: 0.0638 (0.0894) loss_box_reg: 0.0662 (0.0982) loss_objectness: 0.0119 (0.0285) loss_rpn_box_reg: 0.0119 (0.0178) loss_da_image: 0.6682 (0.6646) loss_da_instance: 0.6574 (0.6534) loss_da_consistency: 0.0053 (0.0073) time: 0.8335 (0.8366) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:17:20,182 maskrcnn_benchmark.trainer INFO: eta: 11:42:59 iter: 19580 loss: 1.5161 (1.5591) loss_classifier: 0.0861 (0.0894) loss_box_reg: 0.0653 (0.0982) loss_objectness: 0.0085 (0.0285) loss_rpn_box_reg: 0.0049 (0.0177) loss_da_image: 0.6691 (0.6646) loss_da_instance: 0.6610 (0.6534) loss_da_consistency: 0.0052 (0.0073) time: 0.8355 (0.8366) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:17:36,880 maskrcnn_benchmark.trainer INFO: eta: 11:42:42 iter: 19600 loss: 1.4878 (1.5591) loss_classifier: 0.0466 (0.0894) loss_box_reg: 0.0772 (0.0982) loss_objectness: 0.0141 (0.0285) loss_rpn_box_reg: 0.0090 (0.0177) loss_da_image: 0.6644 (0.6646) loss_da_instance: 0.6600 (0.6534) loss_da_consistency: 0.0059 (0.0073) time: 0.8341 (0.8366) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:17:53,573 maskrcnn_benchmark.trainer INFO: eta: 11:42:25 iter: 19620 loss: 1.5052 (1.5591) loss_classifier: 0.0690 (0.0894) loss_box_reg: 0.0759 (0.0982) loss_objectness: 0.0133 (0.0285) loss_rpn_box_reg: 0.0068 (0.0177) loss_da_image: 0.6692 (0.6646) loss_da_instance: 0.6623 (0.6534) loss_da_consistency: 0.0056 (0.0073) time: 0.8351 (0.8366) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:18:10,262 maskrcnn_benchmark.trainer INFO: eta: 11:42:08 iter: 19640 loss: 1.4807 (1.5590) loss_classifier: 0.0568 (0.0893) loss_box_reg: 0.0683 (0.0982) loss_objectness: 0.0145 (0.0285) loss_rpn_box_reg: 0.0069 (0.0177) loss_da_image: 0.6572 (0.6646) loss_da_instance: 0.6601 (0.6534) loss_da_consistency: 0.0060 (0.0073) time: 0.8328 (0.8365) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:18:26,938 maskrcnn_benchmark.trainer INFO: eta: 11:41:51 iter: 19660 loss: 1.4856 (1.5590) loss_classifier: 0.0684 (0.0893) loss_box_reg: 0.0493 (0.0982) loss_objectness: 0.0171 (0.0285) loss_rpn_box_reg: 0.0102 (0.0177) loss_da_image: 0.6481 (0.6646) loss_da_instance: 0.6613 (0.6534) loss_da_consistency: 0.0068 (0.0073) time: 0.8340 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:18:43,587 maskrcnn_benchmark.trainer INFO: eta: 11:41:34 iter: 19680 loss: 1.4786 (1.5589) loss_classifier: 0.0577 (0.0893) loss_box_reg: 0.0728 (0.0982) loss_objectness: 0.0105 (0.0284) loss_rpn_box_reg: 0.0097 (0.0177) loss_da_image: 0.6549 (0.6646) loss_da_instance: 0.6587 (0.6534) loss_da_consistency: 0.0060 (0.0073) time: 0.8323 (0.8365) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:19:00,305 maskrcnn_benchmark.trainer INFO: eta: 11:41:17 iter: 19700 loss: 1.5189 (1.5589) loss_classifier: 0.0869 (0.0893) loss_box_reg: 0.0902 (0.0982) loss_objectness: 0.0150 (0.0284) loss_rpn_box_reg: 0.0093 (0.0177) loss_da_image: 0.6526 (0.6646) loss_da_instance: 0.6615 (0.6534) loss_da_consistency: 0.0071 (0.0073) time: 0.8355 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:19:16,998 maskrcnn_benchmark.trainer INFO: eta: 11:41:01 iter: 19720 loss: 1.5187 (1.5589) loss_classifier: 0.0684 (0.0893) loss_box_reg: 0.0816 (0.0981) loss_objectness: 0.0115 (0.0284) loss_rpn_box_reg: 0.0120 (0.0177) loss_da_image: 0.6662 (0.6646) loss_da_instance: 0.6571 (0.6534) loss_da_consistency: 0.0064 (0.0073) time: 0.8325 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:19:33,675 maskrcnn_benchmark.trainer INFO: eta: 11:40:44 iter: 19740 loss: 1.5075 (1.5588) loss_classifier: 0.0630 (0.0893) loss_box_reg: 0.0650 (0.0981) loss_objectness: 0.0145 (0.0284) loss_rpn_box_reg: 0.0068 (0.0177) loss_da_image: 0.6660 (0.6646) loss_da_instance: 0.6624 (0.6534) loss_da_consistency: 0.0059 (0.0073) time: 0.8333 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:19:50,341 maskrcnn_benchmark.trainer INFO: eta: 11:40:27 iter: 19760 loss: 1.5139 (1.5588) loss_classifier: 0.0568 (0.0893) loss_box_reg: 0.0799 (0.0981) loss_objectness: 0.0118 (0.0284) loss_rpn_box_reg: 0.0071 (0.0177) loss_da_image: 0.6773 (0.6646) loss_da_instance: 0.6688 (0.6535) loss_da_consistency: 0.0049 (0.0073) time: 0.8312 (0.8365) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:20:06,973 maskrcnn_benchmark.trainer INFO: eta: 11:40:10 iter: 19780 loss: 1.5069 (1.5588) loss_classifier: 0.0727 (0.0893) loss_box_reg: 0.0912 (0.0981) loss_objectness: 0.0094 (0.0284) loss_rpn_box_reg: 0.0105 (0.0177) loss_da_image: 0.6754 (0.6646) loss_da_instance: 0.6476 (0.6535) loss_da_consistency: 0.0056 (0.0073) time: 0.8294 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:20:23,625 maskrcnn_benchmark.trainer INFO: eta: 11:39:53 iter: 19800 loss: 1.5390 (1.5588) loss_classifier: 0.0609 (0.0893) loss_box_reg: 0.0579 (0.0981) loss_objectness: 0.0115 (0.0284) loss_rpn_box_reg: 0.0048 (0.0177) loss_da_image: 0.6792 (0.6646) loss_da_instance: 0.6600 (0.6535) loss_da_consistency: 0.0065 (0.0073) time: 0.8325 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:20:40,294 maskrcnn_benchmark.trainer INFO: eta: 11:39:36 iter: 19820 loss: 1.4930 (1.5588) loss_classifier: 0.0753 (0.0892) loss_box_reg: 0.0530 (0.0981) loss_objectness: 0.0096 (0.0284) loss_rpn_box_reg: 0.0140 (0.0177) loss_da_image: 0.6745 (0.6646) loss_da_instance: 0.6719 (0.6535) loss_da_consistency: 0.0061 (0.0073) time: 0.8345 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:20:56,917 maskrcnn_benchmark.trainer INFO: eta: 11:39:19 iter: 19840 loss: 1.5003 (1.5587) loss_classifier: 0.0498 (0.0892) loss_box_reg: 0.0702 (0.0981) loss_objectness: 0.0121 (0.0284) loss_rpn_box_reg: 0.0047 (0.0177) loss_da_image: 0.6811 (0.6646) loss_da_instance: 0.6618 (0.6535) loss_da_consistency: 0.0058 (0.0073) time: 0.8308 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:21:13,533 maskrcnn_benchmark.trainer INFO: eta: 11:39:02 iter: 19860 loss: 1.4881 (1.5587) loss_classifier: 0.0611 (0.0892) loss_box_reg: 0.0574 (0.0980) loss_objectness: 0.0164 (0.0284) loss_rpn_box_reg: 0.0116 (0.0177) loss_da_image: 0.6746 (0.6646) loss_da_instance: 0.6615 (0.6535) loss_da_consistency: 0.0062 (0.0073) time: 0.8291 (0.8365) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:21:30,183 maskrcnn_benchmark.trainer INFO: eta: 11:38:45 iter: 19880 loss: 1.5181 (1.5587) loss_classifier: 0.0707 (0.0892) loss_box_reg: 0.0824 (0.0980) loss_objectness: 0.0125 (0.0283) loss_rpn_box_reg: 0.0119 (0.0177) loss_da_image: 0.6775 (0.6647) loss_da_instance: 0.6656 (0.6535) loss_da_consistency: 0.0053 (0.0073) time: 0.8308 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:21:46,816 maskrcnn_benchmark.trainer INFO: eta: 11:38:28 iter: 19900 loss: 1.4303 (1.5586) loss_classifier: 0.0455 (0.0891) loss_box_reg: 0.0385 (0.0980) loss_objectness: 0.0084 (0.0283) loss_rpn_box_reg: 0.0066 (0.0177) loss_da_image: 0.6661 (0.6647) loss_da_instance: 0.6581 (0.6535) loss_da_consistency: 0.0058 (0.0073) time: 0.8311 (0.8365) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:22:03,538 maskrcnn_benchmark.trainer INFO: eta: 11:38:11 iter: 19920 loss: 1.5112 (1.5586) loss_classifier: 0.0926 (0.0891) loss_box_reg: 0.1027 (0.0980) loss_objectness: 0.0136 (0.0283) loss_rpn_box_reg: 0.0157 (0.0177) loss_da_image: 0.6638 (0.6647) loss_da_instance: 0.6542 (0.6535) loss_da_consistency: 0.0075 (0.0073) time: 0.8358 (0.8365) data: 0.0649 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:22:20,236 maskrcnn_benchmark.trainer INFO: eta: 11:37:55 iter: 19940 loss: 1.5158 (1.5586) loss_classifier: 0.0831 (0.0891) loss_box_reg: 0.0673 (0.0980) loss_objectness: 0.0071 (0.0283) loss_rpn_box_reg: 0.0069 (0.0177) loss_da_image: 0.6650 (0.6647) loss_da_instance: 0.6657 (0.6535) loss_da_consistency: 0.0056 (0.0073) time: 0.8359 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:22:36,974 maskrcnn_benchmark.trainer INFO: eta: 11:37:38 iter: 19960 loss: 1.4890 (1.5586) loss_classifier: 0.0783 (0.0891) loss_box_reg: 0.0874 (0.0980) loss_objectness: 0.0121 (0.0283) loss_rpn_box_reg: 0.0074 (0.0177) loss_da_image: 0.6550 (0.6647) loss_da_instance: 0.6591 (0.6535) loss_da_consistency: 0.0063 (0.0073) time: 0.8352 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:22:53,712 maskrcnn_benchmark.trainer INFO: eta: 11:37:21 iter: 19980 loss: 1.4846 (1.5585) loss_classifier: 0.0611 (0.0891) loss_box_reg: 0.0675 (0.0980) loss_objectness: 0.0110 (0.0283) loss_rpn_box_reg: 0.0101 (0.0177) loss_da_image: 0.6714 (0.6647) loss_da_instance: 0.6485 (0.6535) loss_da_consistency: 0.0061 (0.0073) time: 0.8350 (0.8365) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:23:10,426 maskrcnn_benchmark.trainer INFO: eta: 11:37:04 iter: 20000 loss: 1.4630 (1.5585) loss_classifier: 0.0585 (0.0891) loss_box_reg: 0.0647 (0.0980) loss_objectness: 0.0090 (0.0283) loss_rpn_box_reg: 0.0067 (0.0177) loss_da_image: 0.6714 (0.6647) loss_da_instance: 0.6555 (0.6535) loss_da_consistency: 0.0062 (0.0073) time: 0.8347 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:23:10,429 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0020000.pth
2019-10-25 18:23:27,263 maskrcnn_benchmark.trainer INFO: eta: 11:36:48 iter: 20020 loss: 1.4918 (1.5584) loss_classifier: 0.0631 (0.0891) loss_box_reg: 0.0561 (0.0980) loss_objectness: 0.0105 (0.0283) loss_rpn_box_reg: 0.0097 (0.0177) loss_da_image: 0.6736 (0.6647) loss_da_instance: 0.6573 (0.6536) loss_da_consistency: 0.0061 (0.0073) time: 0.8332 (0.8365) data: 0.0647 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:23:43,930 maskrcnn_benchmark.trainer INFO: eta: 11:36:31 iter: 20040 loss: 1.5285 (1.5584) loss_classifier: 0.0693 (0.0891) loss_box_reg: 0.0803 (0.0980) loss_objectness: 0.0120 (0.0282) loss_rpn_box_reg: 0.0117 (0.0176) loss_da_image: 0.6727 (0.6647) loss_da_instance: 0.6665 (0.6536) loss_da_consistency: 0.0064 (0.0073) time: 0.8333 (0.8365) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:24:00,629 maskrcnn_benchmark.trainer INFO: eta: 11:36:14 iter: 20060 loss: 1.5794 (1.5585) loss_classifier: 0.0992 (0.0891) loss_box_reg: 0.0798 (0.0980) loss_objectness: 0.0211 (0.0282) loss_rpn_box_reg: 0.0145 (0.0176) loss_da_image: 0.6676 (0.6647) loss_da_instance: 0.6673 (0.6536) loss_da_consistency: 0.0054 (0.0073) time: 0.8331 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:24:17,369 maskrcnn_benchmark.trainer INFO: eta: 11:35:58 iter: 20080 loss: 1.5181 (1.5585) loss_classifier: 0.0694 (0.0891) loss_box_reg: 0.0939 (0.0980) loss_objectness: 0.0133 (0.0282) loss_rpn_box_reg: 0.0171 (0.0176) loss_da_image: 0.6702 (0.6647) loss_da_instance: 0.6553 (0.6536) loss_da_consistency: 0.0060 (0.0073) time: 0.8367 (0.8365) data: 0.0649 (0.0643) lr: 0.001000 max mem: 4018
2019-10-25 18:24:34,069 maskrcnn_benchmark.trainer INFO: eta: 11:35:41 iter: 20100 loss: 1.4444 (1.5584) loss_classifier: 0.0549 (0.0890) loss_box_reg: 0.0591 (0.0979) loss_objectness: 0.0060 (0.0282) loss_rpn_box_reg: 0.0079 (0.0176) loss_da_image: 0.6743 (0.6647) loss_da_instance: 0.6524 (0.6536) loss_da_consistency: 0.0060 (0.0073) time: 0.8340 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:24:50,774 maskrcnn_benchmark.trainer INFO: eta: 11:35:24 iter: 20120 loss: 1.5109 (1.5584) loss_classifier: 0.0740 (0.0890) loss_box_reg: 0.0811 (0.0979) loss_objectness: 0.0113 (0.0282) loss_rpn_box_reg: 0.0076 (0.0176) loss_da_image: 0.6697 (0.6647) loss_da_instance: 0.6578 (0.6536) loss_da_consistency: 0.0061 (0.0073) time: 0.8350 (0.8365) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:25:07,435 maskrcnn_benchmark.trainer INFO: eta: 11:35:07 iter: 20140 loss: 1.4736 (1.5583) loss_classifier: 0.0528 (0.0890) loss_box_reg: 0.0527 (0.0979) loss_objectness: 0.0110 (0.0282) loss_rpn_box_reg: 0.0058 (0.0176) loss_da_image: 0.6644 (0.6647) loss_da_instance: 0.6537 (0.6536) loss_da_consistency: 0.0065 (0.0073) time: 0.8321 (0.8365) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:25:24,117 maskrcnn_benchmark.trainer INFO: eta: 11:34:50 iter: 20160 loss: 1.5183 (1.5583) loss_classifier: 0.0760 (0.0890) loss_box_reg: 0.0806 (0.0979) loss_objectness: 0.0070 (0.0282) loss_rpn_box_reg: 0.0067 (0.0176) loss_da_image: 0.6740 (0.6647) loss_da_instance: 0.6608 (0.6536) loss_da_consistency: 0.0057 (0.0073) time: 0.8346 (0.8365) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:25:40,783 maskrcnn_benchmark.trainer INFO: eta: 11:34:33 iter: 20180 loss: 1.5145 (1.5582) loss_classifier: 0.0858 (0.0890) loss_box_reg: 0.0992 (0.0979) loss_objectness: 0.0109 (0.0282) loss_rpn_box_reg: 0.0097 (0.0176) loss_da_image: 0.6786 (0.6647) loss_da_instance: 0.6538 (0.6536) loss_da_consistency: 0.0062 (0.0073) time: 0.8340 (0.8365) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:25:57,481 maskrcnn_benchmark.trainer INFO: eta: 11:34:17 iter: 20200 loss: 1.4773 (1.5582) loss_classifier: 0.0431 (0.0890) loss_box_reg: 0.0616 (0.0978) loss_objectness: 0.0101 (0.0282) loss_rpn_box_reg: 0.0061 (0.0176) loss_da_image: 0.6767 (0.6647) loss_da_instance: 0.6557 (0.6536) loss_da_consistency: 0.0056 (0.0073) time: 0.8348 (0.8365) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:26:14,176 maskrcnn_benchmark.trainer INFO: eta: 11:34:00 iter: 20220 loss: 1.4968 (1.5581) loss_classifier: 0.0508 (0.0889) loss_box_reg: 0.0657 (0.0978) loss_objectness: 0.0119 (0.0282) loss_rpn_box_reg: 0.0076 (0.0176) loss_da_image: 0.6793 (0.6648) loss_da_instance: 0.6682 (0.6536) loss_da_consistency: 0.0053 (0.0073) time: 0.8334 (0.8365) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:26:30,883 maskrcnn_benchmark.trainer INFO: eta: 11:33:43 iter: 20240 loss: 1.5196 (1.5581) loss_classifier: 0.0680 (0.0889) loss_box_reg: 0.0920 (0.0978) loss_objectness: 0.0109 (0.0281) loss_rpn_box_reg: 0.0105 (0.0176) loss_da_image: 0.6713 (0.6648) loss_da_instance: 0.6474 (0.6536) loss_da_consistency: 0.0070 (0.0073) time: 0.8351 (0.8365) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:26:47,585 maskrcnn_benchmark.trainer INFO: eta: 11:33:26 iter: 20260 loss: 1.4976 (1.5581) loss_classifier: 0.0639 (0.0889) loss_box_reg: 0.0654 (0.0978) loss_objectness: 0.0158 (0.0281) loss_rpn_box_reg: 0.0127 (0.0176) loss_da_image: 0.6711 (0.6648) loss_da_instance: 0.6589 (0.6536) loss_da_consistency: 0.0061 (0.0073) time: 0.8351 (0.8365) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:27:04,231 maskrcnn_benchmark.trainer INFO: eta: 11:33:09 iter: 20280 loss: 1.4548 (1.5580) loss_classifier: 0.0489 (0.0889) loss_box_reg: 0.0465 (0.0977) loss_objectness: 0.0061 (0.0281) loss_rpn_box_reg: 0.0084 (0.0176) loss_da_image: 0.6783 (0.6648) loss_da_instance: 0.6646 (0.6536) loss_da_consistency: 0.0061 (0.0073) time: 0.8323 (0.8365) data: 0.0620 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:27:20,901 maskrcnn_benchmark.trainer INFO: eta: 11:32:52 iter: 20300 loss: 1.5329 (1.5580) loss_classifier: 0.0710 (0.0888) loss_box_reg: 0.0725 (0.0977) loss_objectness: 0.0189 (0.0281) loss_rpn_box_reg: 0.0098 (0.0176) loss_da_image: 0.6801 (0.6648) loss_da_instance: 0.6658 (0.6537) loss_da_consistency: 0.0057 (0.0073) time: 0.8323 (0.8365) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:27:37,594 maskrcnn_benchmark.trainer INFO: eta: 11:32:35 iter: 20320 loss: 1.4650 (1.5579) loss_classifier: 0.0469 (0.0888) loss_box_reg: 0.0512 (0.0977) loss_objectness: 0.0117 (0.0281) loss_rpn_box_reg: 0.0073 (0.0176) loss_da_image: 0.6750 (0.6648) loss_da_instance: 0.6578 (0.6537) loss_da_consistency: 0.0058 (0.0073) time: 0.8337 (0.8365) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:27:54,282 maskrcnn_benchmark.trainer INFO: eta: 11:32:19 iter: 20340 loss: 1.4966 (1.5579) loss_classifier: 0.0551 (0.0888) loss_box_reg: 0.0729 (0.0977) loss_objectness: 0.0177 (0.0281) loss_rpn_box_reg: 0.0079 (0.0176) loss_da_image: 0.6764 (0.6648) loss_da_instance: 0.6530 (0.6537) loss_da_consistency: 0.0066 (0.0073) time: 0.8331 (0.8365) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:28:10,935 maskrcnn_benchmark.trainer INFO: eta: 11:32:02 iter: 20360 loss: 1.4946 (1.5579) loss_classifier: 0.0481 (0.0888) loss_box_reg: 0.0670 (0.0977) loss_objectness: 0.0136 (0.0281) loss_rpn_box_reg: 0.0112 (0.0176) loss_da_image: 0.6816 (0.6648) loss_da_instance: 0.6613 (0.6537) loss_da_consistency: 0.0054 (0.0073) time: 0.8313 (0.8365) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:28:27,621 maskrcnn_benchmark.trainer INFO: eta: 11:31:45 iter: 20380 loss: 1.4670 (1.5578) loss_classifier: 0.0523 (0.0887) loss_box_reg: 0.0648 (0.0976) loss_objectness: 0.0107 (0.0281) loss_rpn_box_reg: 0.0078 (0.0176) loss_da_image: 0.6715 (0.6648) loss_da_instance: 0.6595 (0.6537) loss_da_consistency: 0.0055 (0.0073) time: 0.8347 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:28:44,320 maskrcnn_benchmark.trainer INFO: eta: 11:31:28 iter: 20400 loss: 1.4673 (1.5578) loss_classifier: 0.0557 (0.0887) loss_box_reg: 0.0635 (0.0976) loss_objectness: 0.0067 (0.0280) loss_rpn_box_reg: 0.0101 (0.0176) loss_da_image: 0.6772 (0.6649) loss_da_instance: 0.6578 (0.6537) loss_da_consistency: 0.0056 (0.0073) time: 0.8347 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:29:01,048 maskrcnn_benchmark.trainer INFO: eta: 11:31:11 iter: 20420 loss: 1.4661 (1.5577) loss_classifier: 0.0463 (0.0887) loss_box_reg: 0.0476 (0.0976) loss_objectness: 0.0132 (0.0280) loss_rpn_box_reg: 0.0070 (0.0176) loss_da_image: 0.6699 (0.6649) loss_da_instance: 0.6576 (0.6537) loss_da_consistency: 0.0051 (0.0073) time: 0.8365 (0.8365) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:29:17,760 maskrcnn_benchmark.trainer INFO: eta: 11:30:55 iter: 20440 loss: 1.4860 (1.5576) loss_classifier: 0.0633 (0.0887) loss_box_reg: 0.0611 (0.0976) loss_objectness: 0.0093 (0.0280) loss_rpn_box_reg: 0.0078 (0.0176) loss_da_image: 0.6759 (0.6649) loss_da_instance: 0.6594 (0.6537) loss_da_consistency: 0.0059 (0.0073) time: 0.8352 (0.8365) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:29:34,441 maskrcnn_benchmark.trainer INFO: eta: 11:30:38 iter: 20460 loss: 1.4729 (1.5576) loss_classifier: 0.0459 (0.0886) loss_box_reg: 0.0566 (0.0975) loss_objectness: 0.0084 (0.0280) loss_rpn_box_reg: 0.0046 (0.0176) loss_da_image: 0.6742 (0.6649) loss_da_instance: 0.6573 (0.6537) loss_da_consistency: 0.0055 (0.0073) time: 0.8320 (0.8365) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:29:51,120 maskrcnn_benchmark.trainer INFO: eta: 11:30:21 iter: 20480 loss: 1.5117 (1.5575) loss_classifier: 0.0428 (0.0886) loss_box_reg: 0.0789 (0.0975) loss_objectness: 0.0126 (0.0280) loss_rpn_box_reg: 0.0086 (0.0175) loss_da_image: 0.6828 (0.6649) loss_da_instance: 0.6587 (0.6537) loss_da_consistency: 0.0064 (0.0073) time: 0.8343 (0.8365) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:30:07,780 maskrcnn_benchmark.trainer INFO: eta: 11:30:04 iter: 20500 loss: 1.4651 (1.5575) loss_classifier: 0.0602 (0.0886) loss_box_reg: 0.0598 (0.0975) loss_objectness: 0.0126 (0.0280) loss_rpn_box_reg: 0.0095 (0.0175) loss_da_image: 0.6770 (0.6649) loss_da_instance: 0.6578 (0.6537) loss_da_consistency: 0.0056 (0.0073) time: 0.8340 (0.8365) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:30:24,406 maskrcnn_benchmark.trainer INFO: eta: 11:29:47 iter: 20520 loss: 1.4995 (1.5575) loss_classifier: 0.0601 (0.0886) loss_box_reg: 0.0752 (0.0975) loss_objectness: 0.0115 (0.0280) loss_rpn_box_reg: 0.0085 (0.0175) loss_da_image: 0.6720 (0.6649) loss_da_instance: 0.6657 (0.6537) loss_da_consistency: 0.0056 (0.0073) time: 0.8307 (0.8364) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:30:41,064 maskrcnn_benchmark.trainer INFO: eta: 11:29:30 iter: 20540 loss: 1.5217 (1.5575) loss_classifier: 0.0789 (0.0886) loss_box_reg: 0.0862 (0.0975) loss_objectness: 0.0120 (0.0280) loss_rpn_box_reg: 0.0094 (0.0175) loss_da_image: 0.6744 (0.6649) loss_da_instance: 0.6653 (0.6538) loss_da_consistency: 0.0061 (0.0073) time: 0.8335 (0.8364) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:30:57,725 maskrcnn_benchmark.trainer INFO: eta: 11:29:13 iter: 20560 loss: 1.4811 (1.5574) loss_classifier: 0.0595 (0.0885) loss_box_reg: 0.0609 (0.0975) loss_objectness: 0.0058 (0.0279) loss_rpn_box_reg: 0.0092 (0.0175) loss_da_image: 0.6721 (0.6649) loss_da_instance: 0.6537 (0.6538) loss_da_consistency: 0.0055 (0.0073) time: 0.8320 (0.8364) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:31:14,364 maskrcnn_benchmark.trainer INFO: eta: 11:28:56 iter: 20580 loss: 1.5148 (1.5574) loss_classifier: 0.0558 (0.0885) loss_box_reg: 0.0704 (0.0975) loss_objectness: 0.0104 (0.0279) loss_rpn_box_reg: 0.0053 (0.0175) loss_da_image: 0.6758 (0.6649) loss_da_instance: 0.6717 (0.6538) loss_da_consistency: 0.0053 (0.0073) time: 0.8311 (0.8364) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:31:31,027 maskrcnn_benchmark.trainer INFO: eta: 11:28:39 iter: 20600 loss: 1.5276 (1.5574) loss_classifier: 0.0768 (0.0885) loss_box_reg: 0.0771 (0.0975) loss_objectness: 0.0110 (0.0279) loss_rpn_box_reg: 0.0070 (0.0175) loss_da_image: 0.6760 (0.6650) loss_da_instance: 0.6616 (0.6538) loss_da_consistency: 0.0044 (0.0073) time: 0.8316 (0.8364) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:31:47,669 maskrcnn_benchmark.trainer INFO: eta: 11:28:22 iter: 20620 loss: 1.5304 (1.5574) loss_classifier: 0.0653 (0.0885) loss_box_reg: 0.0740 (0.0975) loss_objectness: 0.0093 (0.0279) loss_rpn_box_reg: 0.0132 (0.0175) loss_da_image: 0.6719 (0.6650) loss_da_instance: 0.6531 (0.6538) loss_da_consistency: 0.0056 (0.0072) time: 0.8311 (0.8364) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:32:04,305 maskrcnn_benchmark.trainer INFO: eta: 11:28:06 iter: 20640 loss: 1.4907 (1.5573) loss_classifier: 0.0513 (0.0885) loss_box_reg: 0.0536 (0.0974) loss_objectness: 0.0088 (0.0279) loss_rpn_box_reg: 0.0075 (0.0175) loss_da_image: 0.6828 (0.6650) loss_da_instance: 0.6678 (0.6538) loss_da_consistency: 0.0051 (0.0072) time: 0.8311 (0.8364) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:32:20,982 maskrcnn_benchmark.trainer INFO: eta: 11:27:49 iter: 20660 loss: 1.4645 (1.5573) loss_classifier: 0.0563 (0.0884) loss_box_reg: 0.0606 (0.0974) loss_objectness: 0.0134 (0.0279) loss_rpn_box_reg: 0.0069 (0.0175) loss_da_image: 0.6758 (0.6650) loss_da_instance: 0.6576 (0.6538) loss_da_consistency: 0.0054 (0.0072) time: 0.8345 (0.8364) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:32:37,653 maskrcnn_benchmark.trainer INFO: eta: 11:27:32 iter: 20680 loss: 1.5280 (1.5573) loss_classifier: 0.0749 (0.0884) loss_box_reg: 0.0695 (0.0974) loss_objectness: 0.0136 (0.0279) loss_rpn_box_reg: 0.0116 (0.0175) loss_da_image: 0.6772 (0.6650) loss_da_instance: 0.6587 (0.6538) loss_da_consistency: 0.0066 (0.0072) time: 0.8329 (0.8364) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:32:54,315 maskrcnn_benchmark.trainer INFO: eta: 11:27:15 iter: 20700 loss: 1.5146 (1.5572) loss_classifier: 0.0710 (0.0884) loss_box_reg: 0.0915 (0.0974) loss_objectness: 0.0091 (0.0279) loss_rpn_box_reg: 0.0067 (0.0175) loss_da_image: 0.6667 (0.6650) loss_da_instance: 0.6606 (0.6538) loss_da_consistency: 0.0060 (0.0072) time: 0.8332 (0.8364) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:33:10,951 maskrcnn_benchmark.trainer INFO: eta: 11:26:58 iter: 20720 loss: 1.4706 (1.5572) loss_classifier: 0.0594 (0.0884) loss_box_reg: 0.0540 (0.0974) loss_objectness: 0.0114 (0.0278) loss_rpn_box_reg: 0.0078 (0.0175) loss_da_image: 0.6563 (0.6650) loss_da_instance: 0.6689 (0.6538) loss_da_consistency: 0.0060 (0.0072) time: 0.8316 (0.8364) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:33:27,582 maskrcnn_benchmark.trainer INFO: eta: 11:26:41 iter: 20740 loss: 1.4885 (1.5572) loss_classifier: 0.0630 (0.0884) loss_box_reg: 0.0761 (0.0974) loss_objectness: 0.0111 (0.0278) loss_rpn_box_reg: 0.0109 (0.0175) loss_da_image: 0.6718 (0.6650) loss_da_instance: 0.6690 (0.6538) loss_da_consistency: 0.0062 (0.0072) time: 0.8305 (0.8364) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:33:44,248 maskrcnn_benchmark.trainer INFO: eta: 11:26:24 iter: 20760 loss: 1.5489 (1.5572) loss_classifier: 0.0886 (0.0884) loss_box_reg: 0.1005 (0.0974) loss_objectness: 0.0142 (0.0278) loss_rpn_box_reg: 0.0137 (0.0175) loss_da_image: 0.6693 (0.6650) loss_da_instance: 0.6420 (0.6538) loss_da_consistency: 0.0070 (0.0072) time: 0.8324 (0.8364) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:34:00,858 maskrcnn_benchmark.trainer INFO: eta: 11:26:07 iter: 20780 loss: 1.4550 (1.5571) loss_classifier: 0.0547 (0.0884) loss_box_reg: 0.0571 (0.0973) loss_objectness: 0.0123 (0.0278) loss_rpn_box_reg: 0.0057 (0.0175) loss_da_image: 0.6667 (0.6650) loss_da_instance: 0.6569 (0.6538) loss_da_consistency: 0.0066 (0.0072) time: 0.8307 (0.8364) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:34:17,502 maskrcnn_benchmark.trainer INFO: eta: 11:25:50 iter: 20800 loss: 1.5051 (1.5571) loss_classifier: 0.0538 (0.0884) loss_box_reg: 0.0712 (0.0973) loss_objectness: 0.0085 (0.0278) loss_rpn_box_reg: 0.0063 (0.0175) loss_da_image: 0.6668 (0.6650) loss_da_instance: 0.6640 (0.6538) loss_da_consistency: 0.0055 (0.0072) time: 0.8333 (0.8364) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:34:34,114 maskrcnn_benchmark.trainer INFO: eta: 11:25:33 iter: 20820 loss: 1.5033 (1.5570) loss_classifier: 0.0697 (0.0883) loss_box_reg: 0.0680 (0.0973) loss_objectness: 0.0104 (0.0278) loss_rpn_box_reg: 0.0079 (0.0175) loss_da_image: 0.6824 (0.6650) loss_da_instance: 0.6581 (0.6539) loss_da_consistency: 0.0060 (0.0072) time: 0.8294 (0.8364) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:34:50,747 maskrcnn_benchmark.trainer INFO: eta: 11:25:16 iter: 20840 loss: 1.5103 (1.5570) loss_classifier: 0.0776 (0.0883) loss_box_reg: 0.0820 (0.0973) loss_objectness: 0.0146 (0.0278) loss_rpn_box_reg: 0.0114 (0.0175) loss_da_image: 0.6713 (0.6650) loss_da_instance: 0.6579 (0.6539) loss_da_consistency: 0.0064 (0.0072) time: 0.8302 (0.8364) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:35:07,372 maskrcnn_benchmark.trainer INFO: eta: 11:24:59 iter: 20860 loss: 1.4435 (1.5569) loss_classifier: 0.0473 (0.0883) loss_box_reg: 0.0446 (0.0972) loss_objectness: 0.0045 (0.0278) loss_rpn_box_reg: 0.0064 (0.0175) loss_da_image: 0.6748 (0.6650) loss_da_instance: 0.6541 (0.6539) loss_da_consistency: 0.0060 (0.0072) time: 0.8305 (0.8364) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:35:23,978 maskrcnn_benchmark.trainer INFO: eta: 11:24:42 iter: 20880 loss: 1.4755 (1.5568) loss_classifier: 0.0505 (0.0883) loss_box_reg: 0.0452 (0.0972) loss_objectness: 0.0102 (0.0278) loss_rpn_box_reg: 0.0084 (0.0175) loss_da_image: 0.6722 (0.6650) loss_da_instance: 0.6594 (0.6539) loss_da_consistency: 0.0053 (0.0072) time: 0.8303 (0.8364) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:35:40,574 maskrcnn_benchmark.trainer INFO: eta: 11:24:25 iter: 20900 loss: 1.4914 (1.5568) loss_classifier: 0.0504 (0.0883) loss_box_reg: 0.0661 (0.0972) loss_objectness: 0.0107 (0.0278) loss_rpn_box_reg: 0.0078 (0.0175) loss_da_image: 0.6719 (0.6651) loss_da_instance: 0.6577 (0.6539) loss_da_consistency: 0.0061 (0.0072) time: 0.8294 (0.8364) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:35:57,169 maskrcnn_benchmark.trainer INFO: eta: 11:24:08 iter: 20920 loss: 1.4710 (1.5567) loss_classifier: 0.0475 (0.0882) loss_box_reg: 0.0465 (0.0972) loss_objectness: 0.0108 (0.0277) loss_rpn_box_reg: 0.0048 (0.0174) loss_da_image: 0.6714 (0.6651) loss_da_instance: 0.6608 (0.6539) loss_da_consistency: 0.0055 (0.0072) time: 0.8310 (0.8364) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:36:13,791 maskrcnn_benchmark.trainer INFO: eta: 11:23:51 iter: 20940 loss: 1.4789 (1.5567) loss_classifier: 0.0551 (0.0882) loss_box_reg: 0.0711 (0.0971) loss_objectness: 0.0170 (0.0277) loss_rpn_box_reg: 0.0125 (0.0174) loss_da_image: 0.6713 (0.6651) loss_da_instance: 0.6606 (0.6539) loss_da_consistency: 0.0063 (0.0072) time: 0.8311 (0.8364) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:36:30,421 maskrcnn_benchmark.trainer INFO: eta: 11:23:34 iter: 20960 loss: 1.5191 (1.5567) loss_classifier: 0.0614 (0.0882) loss_box_reg: 0.0800 (0.0971) loss_objectness: 0.0114 (0.0277) loss_rpn_box_reg: 0.0103 (0.0174) loss_da_image: 0.6732 (0.6651) loss_da_instance: 0.6530 (0.6539) loss_da_consistency: 0.0056 (0.0072) time: 0.8311 (0.8364) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:36:47,018 maskrcnn_benchmark.trainer INFO: eta: 11:23:17 iter: 20980 loss: 1.5024 (1.5567) loss_classifier: 0.0658 (0.0882) loss_box_reg: 0.0679 (0.0971) loss_objectness: 0.0102 (0.0277) loss_rpn_box_reg: 0.0097 (0.0174) loss_da_image: 0.6707 (0.6651) loss_da_instance: 0.6628 (0.6539) loss_da_consistency: 0.0062 (0.0072) time: 0.8295 (0.8363) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:37:03,639 maskrcnn_benchmark.trainer INFO: eta: 11:23:00 iter: 21000 loss: 1.4946 (1.5566) loss_classifier: 0.0665 (0.0882) loss_box_reg: 0.0683 (0.0971) loss_objectness: 0.0203 (0.0277) loss_rpn_box_reg: 0.0092 (0.0174) loss_da_image: 0.6665 (0.6651) loss_da_instance: 0.6647 (0.6539) loss_da_consistency: 0.0060 (0.0072) time: 0.8297 (0.8363) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:37:20,265 maskrcnn_benchmark.trainer INFO: eta: 11:22:43 iter: 21020 loss: 1.5056 (1.5566) loss_classifier: 0.0731 (0.0882) loss_box_reg: 0.0730 (0.0971) loss_objectness: 0.0154 (0.0277) loss_rpn_box_reg: 0.0075 (0.0174) loss_da_image: 0.6673 (0.6651) loss_da_instance: 0.6640 (0.6539) loss_da_consistency: 0.0063 (0.0072) time: 0.8298 (0.8363) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:37:36,895 maskrcnn_benchmark.trainer INFO: eta: 11:22:26 iter: 21040 loss: 1.4848 (1.5566) loss_classifier: 0.0640 (0.0881) loss_box_reg: 0.0630 (0.0971) loss_objectness: 0.0111 (0.0277) loss_rpn_box_reg: 0.0087 (0.0174) loss_da_image: 0.6688 (0.6651) loss_da_instance: 0.6672 (0.6539) loss_da_consistency: 0.0050 (0.0072) time: 0.8319 (0.8363) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:37:53,508 maskrcnn_benchmark.trainer INFO: eta: 11:22:09 iter: 21060 loss: 1.4726 (1.5565) loss_classifier: 0.0541 (0.0881) loss_box_reg: 0.0498 (0.0970) loss_objectness: 0.0116 (0.0277) loss_rpn_box_reg: 0.0108 (0.0174) loss_da_image: 0.6688 (0.6651) loss_da_instance: 0.6587 (0.6539) loss_da_consistency: 0.0053 (0.0072) time: 0.8317 (0.8363) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:38:10,131 maskrcnn_benchmark.trainer INFO: eta: 11:21:52 iter: 21080 loss: 1.5011 (1.5565) loss_classifier: 0.0649 (0.0881) loss_box_reg: 0.0750 (0.0970) loss_objectness: 0.0133 (0.0277) loss_rpn_box_reg: 0.0074 (0.0174) loss_da_image: 0.6642 (0.6651) loss_da_instance: 0.6414 (0.6539) loss_da_consistency: 0.0059 (0.0072) time: 0.8300 (0.8363) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:38:26,831 maskrcnn_benchmark.trainer INFO: eta: 11:21:36 iter: 21100 loss: 1.4601 (1.5564) loss_classifier: 0.0572 (0.0881) loss_box_reg: 0.0544 (0.0970) loss_objectness: 0.0088 (0.0277) loss_rpn_box_reg: 0.0073 (0.0174) loss_da_image: 0.6736 (0.6651) loss_da_instance: 0.6639 (0.6539) loss_da_consistency: 0.0061 (0.0072) time: 0.8340 (0.8363) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:38:43,530 maskrcnn_benchmark.trainer INFO: eta: 11:21:19 iter: 21120 loss: 1.4601 (1.5564) loss_classifier: 0.0482 (0.0881) loss_box_reg: 0.0544 (0.0970) loss_objectness: 0.0073 (0.0277) loss_rpn_box_reg: 0.0027 (0.0174) loss_da_image: 0.6705 (0.6651) loss_da_instance: 0.6635 (0.6539) loss_da_consistency: 0.0053 (0.0072) time: 0.8315 (0.8363) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:39:00,187 maskrcnn_benchmark.trainer INFO: eta: 11:21:02 iter: 21140 loss: 1.5073 (1.5563) loss_classifier: 0.0523 (0.0880) loss_box_reg: 0.0609 (0.0969) loss_objectness: 0.0108 (0.0277) loss_rpn_box_reg: 0.0095 (0.0174) loss_da_image: 0.6706 (0.6651) loss_da_instance: 0.6699 (0.6540) loss_da_consistency: 0.0058 (0.0072) time: 0.8329 (0.8363) data: 0.0649 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:39:16,874 maskrcnn_benchmark.trainer INFO: eta: 11:20:45 iter: 21160 loss: 1.4949 (1.5563) loss_classifier: 0.0654 (0.0880) loss_box_reg: 0.0827 (0.0969) loss_objectness: 0.0137 (0.0277) loss_rpn_box_reg: 0.0096 (0.0174) loss_da_image: 0.6658 (0.6651) loss_da_instance: 0.6556 (0.6540) loss_da_consistency: 0.0057 (0.0072) time: 0.8320 (0.8363) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:39:33,537 maskrcnn_benchmark.trainer INFO: eta: 11:20:28 iter: 21180 loss: 1.4522 (1.5562) loss_classifier: 0.0431 (0.0880) loss_box_reg: 0.0630 (0.0969) loss_objectness: 0.0077 (0.0276) loss_rpn_box_reg: 0.0043 (0.0174) loss_da_image: 0.6717 (0.6651) loss_da_instance: 0.6593 (0.6540) loss_da_consistency: 0.0057 (0.0072) time: 0.8306 (0.8363) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:39:50,211 maskrcnn_benchmark.trainer INFO: eta: 11:20:11 iter: 21200 loss: 1.4913 (1.5562) loss_classifier: 0.0681 (0.0880) loss_box_reg: 0.0835 (0.0969) loss_objectness: 0.0101 (0.0276) loss_rpn_box_reg: 0.0103 (0.0174) loss_da_image: 0.6669 (0.6651) loss_da_instance: 0.6591 (0.6540) loss_da_consistency: 0.0063 (0.0072) time: 0.8330 (0.8363) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:40:06,821 maskrcnn_benchmark.trainer INFO: eta: 11:19:54 iter: 21220 loss: 1.5083 (1.5562) loss_classifier: 0.0649 (0.0880) loss_box_reg: 0.0726 (0.0969) loss_objectness: 0.0170 (0.0276) loss_rpn_box_reg: 0.0087 (0.0174) loss_da_image: 0.6680 (0.6651) loss_da_instance: 0.6553 (0.6540) loss_da_consistency: 0.0063 (0.0072) time: 0.8298 (0.8363) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:40:23,474 maskrcnn_benchmark.trainer INFO: eta: 11:19:37 iter: 21240 loss: 1.4642 (1.5561) loss_classifier: 0.0341 (0.0879) loss_box_reg: 0.0529 (0.0969) loss_objectness: 0.0078 (0.0276) loss_rpn_box_reg: 0.0057 (0.0174) loss_da_image: 0.6691 (0.6651) loss_da_instance: 0.6670 (0.6540) loss_da_consistency: 0.0047 (0.0072) time: 0.8313 (0.8363) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:40:40,077 maskrcnn_benchmark.trainer INFO: eta: 11:19:20 iter: 21260 loss: 1.5001 (1.5561) loss_classifier: 0.0724 (0.0879) loss_box_reg: 0.0899 (0.0969) loss_objectness: 0.0112 (0.0276) loss_rpn_box_reg: 0.0128 (0.0174) loss_da_image: 0.6546 (0.6651) loss_da_instance: 0.6476 (0.6540) loss_da_consistency: 0.0067 (0.0072) time: 0.8286 (0.8363) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:40:56,638 maskrcnn_benchmark.trainer INFO: eta: 11:19:03 iter: 21280 loss: 1.4736 (1.5560) loss_classifier: 0.0539 (0.0879) loss_box_reg: 0.0610 (0.0968) loss_objectness: 0.0094 (0.0276) loss_rpn_box_reg: 0.0070 (0.0174) loss_da_image: 0.6680 (0.6651) loss_da_instance: 0.6647 (0.6540) loss_da_consistency: 0.0063 (0.0072) time: 0.8282 (0.8363) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:41:13,256 maskrcnn_benchmark.trainer INFO: eta: 11:18:46 iter: 21300 loss: 1.5064 (1.5560) loss_classifier: 0.0644 (0.0879) loss_box_reg: 0.0720 (0.0968) loss_objectness: 0.0060 (0.0276) loss_rpn_box_reg: 0.0083 (0.0174) loss_da_image: 0.6787 (0.6651) loss_da_instance: 0.6699 (0.6540) loss_da_consistency: 0.0060 (0.0072) time: 0.8304 (0.8363) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:41:29,878 maskrcnn_benchmark.trainer INFO: eta: 11:18:29 iter: 21320 loss: 1.4545 (1.5559) loss_classifier: 0.0531 (0.0879) loss_box_reg: 0.0562 (0.0968) loss_objectness: 0.0067 (0.0275) loss_rpn_box_reg: 0.0073 (0.0173) loss_da_image: 0.6763 (0.6651) loss_da_instance: 0.6590 (0.6540) loss_da_consistency: 0.0060 (0.0072) time: 0.8301 (0.8363) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:41:46,495 maskrcnn_benchmark.trainer INFO: eta: 11:18:12 iter: 21340 loss: 1.4640 (1.5558) loss_classifier: 0.0470 (0.0878) loss_box_reg: 0.0556 (0.0968) loss_objectness: 0.0095 (0.0275) loss_rpn_box_reg: 0.0094 (0.0173) loss_da_image: 0.6749 (0.6652) loss_da_instance: 0.6517 (0.6540) loss_da_consistency: 0.0053 (0.0072) time: 0.8307 (0.8363) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:42:03,114 maskrcnn_benchmark.trainer INFO: eta: 11:17:56 iter: 21360 loss: 1.5070 (1.5558) loss_classifier: 0.0606 (0.0878) loss_box_reg: 0.0786 (0.0968) loss_objectness: 0.0107 (0.0275) loss_rpn_box_reg: 0.0105 (0.0173) loss_da_image: 0.6757 (0.6652) loss_da_instance: 0.6515 (0.6540) loss_da_consistency: 0.0068 (0.0072) time: 0.8305 (0.8363) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:42:19,731 maskrcnn_benchmark.trainer INFO: eta: 11:17:39 iter: 21380 loss: 1.4741 (1.5558) loss_classifier: 0.0559 (0.0878) loss_box_reg: 0.0688 (0.0968) loss_objectness: 0.0124 (0.0275) loss_rpn_box_reg: 0.0064 (0.0173) loss_da_image: 0.6679 (0.6652) loss_da_instance: 0.6449 (0.6540) loss_da_consistency: 0.0066 (0.0072) time: 0.8300 (0.8363) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:42:36,313 maskrcnn_benchmark.trainer INFO: eta: 11:17:21 iter: 21400 loss: 1.4637 (1.5558) loss_classifier: 0.0611 (0.0878) loss_box_reg: 0.0571 (0.0968) loss_objectness: 0.0126 (0.0275) loss_rpn_box_reg: 0.0082 (0.0173) loss_da_image: 0.6589 (0.6652) loss_da_instance: 0.6594 (0.6540) loss_da_consistency: 0.0068 (0.0072) time: 0.8293 (0.8363) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:42:52,914 maskrcnn_benchmark.trainer INFO: eta: 11:17:04 iter: 21420 loss: 1.4888 (1.5557) loss_classifier: 0.0648 (0.0878) loss_box_reg: 0.0927 (0.0967) loss_objectness: 0.0123 (0.0275) loss_rpn_box_reg: 0.0105 (0.0173) loss_da_image: 0.6670 (0.6652) loss_da_instance: 0.6454 (0.6540) loss_da_consistency: 0.0071 (0.0072) time: 0.8293 (0.8362) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:43:09,564 maskrcnn_benchmark.trainer INFO: eta: 11:16:48 iter: 21440 loss: 1.4842 (1.5557) loss_classifier: 0.0467 (0.0877) loss_box_reg: 0.0715 (0.0967) loss_objectness: 0.0150 (0.0275) loss_rpn_box_reg: 0.0088 (0.0173) loss_da_image: 0.6655 (0.6652) loss_da_instance: 0.6564 (0.6540) loss_da_consistency: 0.0060 (0.0072) time: 0.8310 (0.8362) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:43:26,217 maskrcnn_benchmark.trainer INFO: eta: 11:16:31 iter: 21460 loss: 1.5110 (1.5556) loss_classifier: 0.0677 (0.0877) loss_box_reg: 0.0567 (0.0967) loss_objectness: 0.0164 (0.0275) loss_rpn_box_reg: 0.0095 (0.0173) loss_da_image: 0.6701 (0.6652) loss_da_instance: 0.6466 (0.6540) loss_da_consistency: 0.0060 (0.0072) time: 0.8318 (0.8362) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:43:42,801 maskrcnn_benchmark.trainer INFO: eta: 11:16:14 iter: 21480 loss: 1.5235 (1.5556) loss_classifier: 0.0557 (0.0877) loss_box_reg: 0.0895 (0.0967) loss_objectness: 0.0167 (0.0275) loss_rpn_box_reg: 0.0070 (0.0173) loss_da_image: 0.6709 (0.6652) loss_da_instance: 0.6559 (0.6540) loss_da_consistency: 0.0058 (0.0072) time: 0.8297 (0.8362) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:43:59,382 maskrcnn_benchmark.trainer INFO: eta: 11:15:57 iter: 21500 loss: 1.4929 (1.5556) loss_classifier: 0.0556 (0.0877) loss_box_reg: 0.0874 (0.0967) loss_objectness: 0.0101 (0.0275) loss_rpn_box_reg: 0.0111 (0.0173) loss_da_image: 0.6741 (0.6652) loss_da_instance: 0.6457 (0.6540) loss_da_consistency: 0.0069 (0.0072) time: 0.8294 (0.8362) data: 0.0648 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:44:15,951 maskrcnn_benchmark.trainer INFO: eta: 11:15:40 iter: 21520 loss: 1.5029 (1.5556) loss_classifier: 0.0729 (0.0877) loss_box_reg: 0.0874 (0.0967) loss_objectness: 0.0098 (0.0274) loss_rpn_box_reg: 0.0120 (0.0173) loss_da_image: 0.6740 (0.6652) loss_da_instance: 0.6593 (0.6540) loss_da_consistency: 0.0055 (0.0072) time: 0.8276 (0.8362) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:44:32,563 maskrcnn_benchmark.trainer INFO: eta: 11:15:23 iter: 21540 loss: 1.5274 (1.5555) loss_classifier: 0.0595 (0.0877) loss_box_reg: 0.0669 (0.0967) loss_objectness: 0.0185 (0.0274) loss_rpn_box_reg: 0.0097 (0.0173) loss_da_image: 0.6639 (0.6652) loss_da_instance: 0.6565 (0.6540) loss_da_consistency: 0.0067 (0.0072) time: 0.8305 (0.8362) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:44:49,176 maskrcnn_benchmark.trainer INFO: eta: 11:15:06 iter: 21560 loss: 1.4852 (1.5555) loss_classifier: 0.0519 (0.0876) loss_box_reg: 0.0532 (0.0967) loss_objectness: 0.0110 (0.0274) loss_rpn_box_reg: 0.0106 (0.0173) loss_da_image: 0.6766 (0.6652) loss_da_instance: 0.6638 (0.6540) loss_da_consistency: 0.0058 (0.0072) time: 0.8298 (0.8362) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:45:05,802 maskrcnn_benchmark.trainer INFO: eta: 11:14:49 iter: 21580 loss: 1.4941 (1.5554) loss_classifier: 0.0600 (0.0876) loss_box_reg: 0.0628 (0.0966) loss_objectness: 0.0116 (0.0274) loss_rpn_box_reg: 0.0099 (0.0173) loss_da_image: 0.6683 (0.6652) loss_da_instance: 0.6497 (0.6540) loss_da_consistency: 0.0064 (0.0072) time: 0.8308 (0.8362) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:45:22,380 maskrcnn_benchmark.trainer INFO: eta: 11:14:32 iter: 21600 loss: 1.4936 (1.5554) loss_classifier: 0.0461 (0.0876) loss_box_reg: 0.0950 (0.0966) loss_objectness: 0.0099 (0.0274) loss_rpn_box_reg: 0.0099 (0.0173) loss_da_image: 0.6739 (0.6652) loss_da_instance: 0.6460 (0.6540) loss_da_consistency: 0.0061 (0.0072) time: 0.8291 (0.8362) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:45:38,991 maskrcnn_benchmark.trainer INFO: eta: 11:14:15 iter: 21620 loss: 1.4786 (1.5553) loss_classifier: 0.0663 (0.0876) loss_box_reg: 0.0557 (0.0966) loss_objectness: 0.0117 (0.0274) loss_rpn_box_reg: 0.0067 (0.0173) loss_da_image: 0.6766 (0.6652) loss_da_instance: 0.6681 (0.6541) loss_da_consistency: 0.0053 (0.0072) time: 0.8302 (0.8362) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:45:55,570 maskrcnn_benchmark.trainer INFO: eta: 11:13:58 iter: 21640 loss: 1.4482 (1.5553) loss_classifier: 0.0336 (0.0876) loss_box_reg: 0.0464 (0.0966) loss_objectness: 0.0074 (0.0274) loss_rpn_box_reg: 0.0059 (0.0173) loss_da_image: 0.6754 (0.6652) loss_da_instance: 0.6646 (0.6541) loss_da_consistency: 0.0053 (0.0072) time: 0.8283 (0.8362) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:46:12,170 maskrcnn_benchmark.trainer INFO: eta: 11:13:41 iter: 21660 loss: 1.4726 (1.5552) loss_classifier: 0.0628 (0.0875) loss_box_reg: 0.0866 (0.0966) loss_objectness: 0.0105 (0.0274) loss_rpn_box_reg: 0.0075 (0.0173) loss_da_image: 0.6732 (0.6652) loss_da_instance: 0.6547 (0.6541) loss_da_consistency: 0.0063 (0.0072) time: 0.8291 (0.8362) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:46:28,803 maskrcnn_benchmark.trainer INFO: eta: 11:13:24 iter: 21680 loss: 1.5444 (1.5553) loss_classifier: 0.0758 (0.0875) loss_box_reg: 0.0867 (0.0966) loss_objectness: 0.0131 (0.0274) loss_rpn_box_reg: 0.0081 (0.0173) loss_da_image: 0.6778 (0.6652) loss_da_instance: 0.6588 (0.6541) loss_da_consistency: 0.0061 (0.0072) time: 0.8302 (0.8362) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:46:45,405 maskrcnn_benchmark.trainer INFO: eta: 11:13:07 iter: 21700 loss: 1.5444 (1.5553) loss_classifier: 0.0907 (0.0875) loss_box_reg: 0.0834 (0.0966) loss_objectness: 0.0139 (0.0274) loss_rpn_box_reg: 0.0101 (0.0173) loss_da_image: 0.6813 (0.6653) loss_da_instance: 0.6675 (0.6541) loss_da_consistency: 0.0054 (0.0072) time: 0.8301 (0.8362) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:47:02,066 maskrcnn_benchmark.trainer INFO: eta: 11:12:50 iter: 21720 loss: 1.4783 (1.5553) loss_classifier: 0.0699 (0.0875) loss_box_reg: 0.0598 (0.0966) loss_objectness: 0.0114 (0.0273) loss_rpn_box_reg: 0.0091 (0.0173) loss_da_image: 0.6723 (0.6653) loss_da_instance: 0.6686 (0.6541) loss_da_consistency: 0.0057 (0.0072) time: 0.8319 (0.8362) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:47:18,730 maskrcnn_benchmark.trainer INFO: eta: 11:12:33 iter: 21740 loss: 1.5291 (1.5552) loss_classifier: 0.0816 (0.0875) loss_box_reg: 0.0968 (0.0966) loss_objectness: 0.0130 (0.0273) loss_rpn_box_reg: 0.0096 (0.0173) loss_da_image: 0.6690 (0.6653) loss_da_instance: 0.6666 (0.6541) loss_da_consistency: 0.0054 (0.0072) time: 0.8321 (0.8362) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:47:35,330 maskrcnn_benchmark.trainer INFO: eta: 11:12:16 iter: 21760 loss: 1.4880 (1.5552) loss_classifier: 0.0570 (0.0875) loss_box_reg: 0.0680 (0.0965) loss_objectness: 0.0081 (0.0273) loss_rpn_box_reg: 0.0057 (0.0173) loss_da_image: 0.6727 (0.6653) loss_da_instance: 0.6643 (0.6541) loss_da_consistency: 0.0048 (0.0072) time: 0.8302 (0.8362) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:47:51,934 maskrcnn_benchmark.trainer INFO: eta: 11:11:59 iter: 21780 loss: 1.4929 (1.5552) loss_classifier: 0.0525 (0.0875) loss_box_reg: 0.0712 (0.0965) loss_objectness: 0.0093 (0.0273) loss_rpn_box_reg: 0.0124 (0.0173) loss_da_image: 0.6724 (0.6653) loss_da_instance: 0.6589 (0.6541) loss_da_consistency: 0.0055 (0.0072) time: 0.8305 (0.8362) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:48:08,577 maskrcnn_benchmark.trainer INFO: eta: 11:11:42 iter: 21800 loss: 1.4814 (1.5551) loss_classifier: 0.0565 (0.0875) loss_box_reg: 0.0685 (0.0965) loss_objectness: 0.0094 (0.0273) loss_rpn_box_reg: 0.0073 (0.0173) loss_da_image: 0.6648 (0.6653) loss_da_instance: 0.6552 (0.6541) loss_da_consistency: 0.0068 (0.0072) time: 0.8311 (0.8362) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:48:25,273 maskrcnn_benchmark.trainer INFO: eta: 11:11:25 iter: 21820 loss: 1.5150 (1.5551) loss_classifier: 0.0665 (0.0875) loss_box_reg: 0.0902 (0.0965) loss_objectness: 0.0096 (0.0273) loss_rpn_box_reg: 0.0143 (0.0173) loss_da_image: 0.6731 (0.6653) loss_da_instance: 0.6485 (0.6541) loss_da_consistency: 0.0059 (0.0072) time: 0.8348 (0.8362) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:48:41,975 maskrcnn_benchmark.trainer INFO: eta: 11:11:08 iter: 21840 loss: 1.5633 (1.5551) loss_classifier: 0.0749 (0.0875) loss_box_reg: 0.0969 (0.0965) loss_objectness: 0.0151 (0.0273) loss_rpn_box_reg: 0.0142 (0.0173) loss_da_image: 0.6721 (0.6653) loss_da_instance: 0.6677 (0.6541) loss_da_consistency: 0.0055 (0.0072) time: 0.8337 (0.8361) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:48:58,642 maskrcnn_benchmark.trainer INFO: eta: 11:10:52 iter: 21860 loss: 1.5192 (1.5551) loss_classifier: 0.0695 (0.0874) loss_box_reg: 0.0734 (0.0965) loss_objectness: 0.0196 (0.0273) loss_rpn_box_reg: 0.0158 (0.0173) loss_da_image: 0.6657 (0.6653) loss_da_instance: 0.6541 (0.6542) loss_da_consistency: 0.0065 (0.0072) time: 0.8340 (0.8361) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:49:15,292 maskrcnn_benchmark.trainer INFO: eta: 11:10:35 iter: 21880 loss: 1.4631 (1.5551) loss_classifier: 0.0568 (0.0874) loss_box_reg: 0.0648 (0.0965) loss_objectness: 0.0138 (0.0273) loss_rpn_box_reg: 0.0092 (0.0173) loss_da_image: 0.6725 (0.6653) loss_da_instance: 0.6565 (0.6542) loss_da_consistency: 0.0057 (0.0072) time: 0.8328 (0.8361) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:49:32,007 maskrcnn_benchmark.trainer INFO: eta: 11:10:18 iter: 21900 loss: 1.5057 (1.5550) loss_classifier: 0.0579 (0.0874) loss_box_reg: 0.0571 (0.0965) loss_objectness: 0.0088 (0.0273) loss_rpn_box_reg: 0.0063 (0.0172) loss_da_image: 0.6780 (0.6653) loss_da_instance: 0.6574 (0.6542) loss_da_consistency: 0.0051 (0.0072) time: 0.8356 (0.8361) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:49:48,720 maskrcnn_benchmark.trainer INFO: eta: 11:10:01 iter: 21920 loss: 1.5557 (1.5551) loss_classifier: 0.0748 (0.0874) loss_box_reg: 0.0933 (0.0965) loss_objectness: 0.0169 (0.0273) loss_rpn_box_reg: 0.0112 (0.0172) loss_da_image: 0.6685 (0.6653) loss_da_instance: 0.6603 (0.6542) loss_da_consistency: 0.0065 (0.0072) time: 0.8356 (0.8361) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:50:05,415 maskrcnn_benchmark.trainer INFO: eta: 11:09:44 iter: 21940 loss: 1.5036 (1.5551) loss_classifier: 0.0730 (0.0874) loss_box_reg: 0.0953 (0.0965) loss_objectness: 0.0136 (0.0273) loss_rpn_box_reg: 0.0114 (0.0172) loss_da_image: 0.6666 (0.6653) loss_da_instance: 0.6569 (0.6542) loss_da_consistency: 0.0065 (0.0072) time: 0.8345 (0.8361) data: 0.0648 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:50:22,049 maskrcnn_benchmark.trainer INFO: eta: 11:09:28 iter: 21960 loss: 1.4702 (1.5550) loss_classifier: 0.0447 (0.0874) loss_box_reg: 0.0559 (0.0964) loss_objectness: 0.0109 (0.0272) loss_rpn_box_reg: 0.0076 (0.0172) loss_da_image: 0.6707 (0.6653) loss_da_instance: 0.6711 (0.6542) loss_da_consistency: 0.0051 (0.0072) time: 0.8318 (0.8361) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:50:38,692 maskrcnn_benchmark.trainer INFO: eta: 11:09:11 iter: 21980 loss: 1.4681 (1.5550) loss_classifier: 0.0601 (0.0874) loss_box_reg: 0.0624 (0.0964) loss_objectness: 0.0101 (0.0272) loss_rpn_box_reg: 0.0101 (0.0172) loss_da_image: 0.6653 (0.6653) loss_da_instance: 0.6631 (0.6542) loss_da_consistency: 0.0053 (0.0072) time: 0.8321 (0.8361) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:50:55,365 maskrcnn_benchmark.trainer INFO: eta: 11:08:54 iter: 22000 loss: 1.4962 (1.5549) loss_classifier: 0.0648 (0.0873) loss_box_reg: 0.0700 (0.0964) loss_objectness: 0.0085 (0.0272) loss_rpn_box_reg: 0.0054 (0.0172) loss_da_image: 0.6654 (0.6653) loss_da_instance: 0.6591 (0.6542) loss_da_consistency: 0.0052 (0.0072) time: 0.8336 (0.8361) data: 0.0638 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:51:12,004 maskrcnn_benchmark.trainer INFO: eta: 11:08:37 iter: 22020 loss: 1.5224 (1.5549) loss_classifier: 0.0715 (0.0873) loss_box_reg: 0.0902 (0.0964) loss_objectness: 0.0106 (0.0272) loss_rpn_box_reg: 0.0074 (0.0172) loss_da_image: 0.6711 (0.6653) loss_da_instance: 0.6628 (0.6542) loss_da_consistency: 0.0053 (0.0072) time: 0.8311 (0.8361) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:51:28,646 maskrcnn_benchmark.trainer INFO: eta: 11:08:20 iter: 22040 loss: 1.4861 (1.5548) loss_classifier: 0.0503 (0.0873) loss_box_reg: 0.0715 (0.0964) loss_objectness: 0.0053 (0.0272) loss_rpn_box_reg: 0.0058 (0.0172) loss_da_image: 0.6751 (0.6653) loss_da_instance: 0.6614 (0.6542) loss_da_consistency: 0.0051 (0.0072) time: 0.8309 (0.8361) data: 0.0618 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:51:45,349 maskrcnn_benchmark.trainer INFO: eta: 11:08:03 iter: 22060 loss: 1.5022 (1.5548) loss_classifier: 0.0444 (0.0873) loss_box_reg: 0.0475 (0.0963) loss_objectness: 0.0083 (0.0272) loss_rpn_box_reg: 0.0058 (0.0172) loss_da_image: 0.6768 (0.6654) loss_da_instance: 0.6579 (0.6542) loss_da_consistency: 0.0060 (0.0072) time: 0.8347 (0.8361) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:52:01,986 maskrcnn_benchmark.trainer INFO: eta: 11:07:46 iter: 22080 loss: 1.4685 (1.5547) loss_classifier: 0.0359 (0.0872) loss_box_reg: 0.0417 (0.0963) loss_objectness: 0.0094 (0.0272) loss_rpn_box_reg: 0.0040 (0.0172) loss_da_image: 0.6804 (0.6654) loss_da_instance: 0.6614 (0.6543) loss_da_consistency: 0.0055 (0.0072) time: 0.8321 (0.8361) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:52:18,661 maskrcnn_benchmark.trainer INFO: eta: 11:07:30 iter: 22100 loss: 1.5314 (1.5547) loss_classifier: 0.0707 (0.0872) loss_box_reg: 0.0770 (0.0963) loss_objectness: 0.0137 (0.0272) loss_rpn_box_reg: 0.0175 (0.0172) loss_da_image: 0.6679 (0.6654) loss_da_instance: 0.6525 (0.6543) loss_da_consistency: 0.0055 (0.0072) time: 0.8355 (0.8361) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:52:35,348 maskrcnn_benchmark.trainer INFO: eta: 11:07:13 iter: 22120 loss: 1.4564 (1.5547) loss_classifier: 0.0415 (0.0872) loss_box_reg: 0.0541 (0.0963) loss_objectness: 0.0142 (0.0272) loss_rpn_box_reg: 0.0069 (0.0172) loss_da_image: 0.6711 (0.6654) loss_da_instance: 0.6544 (0.6543) loss_da_consistency: 0.0055 (0.0072) time: 0.8348 (0.8361) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:52:52,022 maskrcnn_benchmark.trainer INFO: eta: 11:06:56 iter: 22140 loss: 1.4735 (1.5546) loss_classifier: 0.0552 (0.0872) loss_box_reg: 0.0563 (0.0962) loss_objectness: 0.0109 (0.0272) loss_rpn_box_reg: 0.0077 (0.0172) loss_da_image: 0.6677 (0.6654) loss_da_instance: 0.6680 (0.6543) loss_da_consistency: 0.0048 (0.0072) time: 0.8326 (0.8361) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:53:08,691 maskrcnn_benchmark.trainer INFO: eta: 11:06:39 iter: 22160 loss: 1.4500 (1.5546) loss_classifier: 0.0483 (0.0872) loss_box_reg: 0.0507 (0.0962) loss_objectness: 0.0082 (0.0271) loss_rpn_box_reg: 0.0056 (0.0172) loss_da_image: 0.6708 (0.6654) loss_da_instance: 0.6564 (0.6543) loss_da_consistency: 0.0057 (0.0072) time: 0.8323 (0.8361) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:53:25,352 maskrcnn_benchmark.trainer INFO: eta: 11:06:22 iter: 22180 loss: 1.5638 (1.5546) loss_classifier: 0.0868 (0.0872) loss_box_reg: 0.0942 (0.0962) loss_objectness: 0.0123 (0.0271) loss_rpn_box_reg: 0.0108 (0.0172) loss_da_image: 0.6712 (0.6654) loss_da_instance: 0.6679 (0.6543) loss_da_consistency: 0.0058 (0.0072) time: 0.8333 (0.8361) data: 0.0655 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:53:42,033 maskrcnn_benchmark.trainer INFO: eta: 11:06:05 iter: 22200 loss: 1.4887 (1.5545) loss_classifier: 0.0557 (0.0871) loss_box_reg: 0.0522 (0.0962) loss_objectness: 0.0139 (0.0271) loss_rpn_box_reg: 0.0085 (0.0172) loss_da_image: 0.6727 (0.6654) loss_da_instance: 0.6561 (0.6543) loss_da_consistency: 0.0063 (0.0072) time: 0.8337 (0.8361) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:53:58,697 maskrcnn_benchmark.trainer INFO: eta: 11:05:49 iter: 22220 loss: 1.5207 (1.5545) loss_classifier: 0.0606 (0.0871) loss_box_reg: 0.0800 (0.0962) loss_objectness: 0.0079 (0.0271) loss_rpn_box_reg: 0.0096 (0.0172) loss_da_image: 0.6746 (0.6654) loss_da_instance: 0.6603 (0.6543) loss_da_consistency: 0.0055 (0.0071) time: 0.8318 (0.8361) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:54:15,348 maskrcnn_benchmark.trainer INFO: eta: 11:05:32 iter: 22240 loss: 1.5186 (1.5545) loss_classifier: 0.0776 (0.0871) loss_box_reg: 0.0755 (0.0962) loss_objectness: 0.0131 (0.0271) loss_rpn_box_reg: 0.0103 (0.0172) loss_da_image: 0.6684 (0.6654) loss_da_instance: 0.6544 (0.6543) loss_da_consistency: 0.0068 (0.0071) time: 0.8328 (0.8361) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:54:32,032 maskrcnn_benchmark.trainer INFO: eta: 11:05:15 iter: 22260 loss: 1.4441 (1.5544) loss_classifier: 0.0595 (0.0871) loss_box_reg: 0.0574 (0.0962) loss_objectness: 0.0070 (0.0271) loss_rpn_box_reg: 0.0087 (0.0172) loss_da_image: 0.6731 (0.6654) loss_da_instance: 0.6577 (0.6543) loss_da_consistency: 0.0054 (0.0071) time: 0.8334 (0.8361) data: 0.0653 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:54:48,689 maskrcnn_benchmark.trainer INFO: eta: 11:04:58 iter: 22280 loss: 1.5123 (1.5544) loss_classifier: 0.0666 (0.0871) loss_box_reg: 0.0666 (0.0961) loss_objectness: 0.0190 (0.0271) loss_rpn_box_reg: 0.0166 (0.0172) loss_da_image: 0.6775 (0.6654) loss_da_instance: 0.6457 (0.6543) loss_da_consistency: 0.0061 (0.0071) time: 0.8321 (0.8361) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:55:05,352 maskrcnn_benchmark.trainer INFO: eta: 11:04:41 iter: 22300 loss: 1.4860 (1.5543) loss_classifier: 0.0475 (0.0871) loss_box_reg: 0.0648 (0.0961) loss_objectness: 0.0064 (0.0271) loss_rpn_box_reg: 0.0082 (0.0172) loss_da_image: 0.6754 (0.6655) loss_da_instance: 0.6613 (0.6543) loss_da_consistency: 0.0054 (0.0071) time: 0.8328 (0.8361) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:55:22,047 maskrcnn_benchmark.trainer INFO: eta: 11:04:24 iter: 22320 loss: 1.4707 (1.5543) loss_classifier: 0.0532 (0.0870) loss_box_reg: 0.0464 (0.0961) loss_objectness: 0.0086 (0.0271) loss_rpn_box_reg: 0.0062 (0.0172) loss_da_image: 0.6687 (0.6655) loss_da_instance: 0.6620 (0.6543) loss_da_consistency: 0.0061 (0.0071) time: 0.8350 (0.8361) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:55:38,733 maskrcnn_benchmark.trainer INFO: eta: 11:04:08 iter: 22340 loss: 1.5176 (1.5543) loss_classifier: 0.0728 (0.0870) loss_box_reg: 0.0706 (0.0961) loss_objectness: 0.0077 (0.0270) loss_rpn_box_reg: 0.0087 (0.0172) loss_da_image: 0.6653 (0.6655) loss_da_instance: 0.6607 (0.6543) loss_da_consistency: 0.0061 (0.0071) time: 0.8331 (0.8361) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:55:55,431 maskrcnn_benchmark.trainer INFO: eta: 11:03:51 iter: 22360 loss: 1.5141 (1.5542) loss_classifier: 0.0764 (0.0870) loss_box_reg: 0.0628 (0.0961) loss_objectness: 0.0160 (0.0270) loss_rpn_box_reg: 0.0077 (0.0172) loss_da_image: 0.6682 (0.6655) loss_da_instance: 0.6602 (0.6543) loss_da_consistency: 0.0065 (0.0071) time: 0.8326 (0.8361) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:56:12,077 maskrcnn_benchmark.trainer INFO: eta: 11:03:34 iter: 22380 loss: 1.4600 (1.5542) loss_classifier: 0.0556 (0.0870) loss_box_reg: 0.0440 (0.0960) loss_objectness: 0.0059 (0.0270) loss_rpn_box_reg: 0.0067 (0.0172) loss_da_image: 0.6716 (0.6655) loss_da_instance: 0.6636 (0.6543) loss_da_consistency: 0.0054 (0.0071) time: 0.8316 (0.8361) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:56:28,748 maskrcnn_benchmark.trainer INFO: eta: 11:03:17 iter: 22400 loss: 1.4320 (1.5541) loss_classifier: 0.0398 (0.0870) loss_box_reg: 0.0568 (0.0960) loss_objectness: 0.0071 (0.0270) loss_rpn_box_reg: 0.0058 (0.0172) loss_da_image: 0.6664 (0.6655) loss_da_instance: 0.6577 (0.6543) loss_da_consistency: 0.0063 (0.0071) time: 0.8343 (0.8361) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:56:45,386 maskrcnn_benchmark.trainer INFO: eta: 11:03:00 iter: 22420 loss: 1.4732 (1.5540) loss_classifier: 0.0497 (0.0869) loss_box_reg: 0.0540 (0.0960) loss_objectness: 0.0114 (0.0270) loss_rpn_box_reg: 0.0072 (0.0172) loss_da_image: 0.6785 (0.6655) loss_da_instance: 0.6682 (0.6544) loss_da_consistency: 0.0056 (0.0071) time: 0.8307 (0.8361) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:57:02,070 maskrcnn_benchmark.trainer INFO: eta: 11:02:43 iter: 22440 loss: 1.4919 (1.5540) loss_classifier: 0.0552 (0.0869) loss_box_reg: 0.0606 (0.0960) loss_objectness: 0.0086 (0.0270) loss_rpn_box_reg: 0.0114 (0.0172) loss_da_image: 0.6743 (0.6655) loss_da_instance: 0.6601 (0.6544) loss_da_consistency: 0.0058 (0.0071) time: 0.8338 (0.8361) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:57:18,757 maskrcnn_benchmark.trainer INFO: eta: 11:02:27 iter: 22460 loss: 1.4561 (1.5539) loss_classifier: 0.0344 (0.0869) loss_box_reg: 0.0395 (0.0959) loss_objectness: 0.0058 (0.0270) loss_rpn_box_reg: 0.0030 (0.0171) loss_da_image: 0.6782 (0.6655) loss_da_instance: 0.6743 (0.6544) loss_da_consistency: 0.0051 (0.0071) time: 0.8342 (0.8361) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:57:35,415 maskrcnn_benchmark.trainer INFO: eta: 11:02:10 iter: 22480 loss: 1.5503 (1.5539) loss_classifier: 0.0814 (0.0869) loss_box_reg: 0.0757 (0.0959) loss_objectness: 0.0104 (0.0270) loss_rpn_box_reg: 0.0091 (0.0171) loss_da_image: 0.6872 (0.6655) loss_da_instance: 0.6666 (0.6544) loss_da_consistency: 0.0056 (0.0071) time: 0.8334 (0.8361) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:57:52,089 maskrcnn_benchmark.trainer INFO: eta: 11:01:53 iter: 22500 loss: 1.4943 (1.5539) loss_classifier: 0.0624 (0.0869) loss_box_reg: 0.0712 (0.0959) loss_objectness: 0.0103 (0.0269) loss_rpn_box_reg: 0.0080 (0.0171) loss_da_image: 0.6762 (0.6655) loss_da_instance: 0.6557 (0.6544) loss_da_consistency: 0.0056 (0.0071) time: 0.8331 (0.8361) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:57:52,091 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0022500.pth
2019-10-25 18:58:08,930 maskrcnn_benchmark.trainer INFO: eta: 11:01:36 iter: 22520 loss: 1.5209 (1.5539) loss_classifier: 0.0733 (0.0869) loss_box_reg: 0.0821 (0.0959) loss_objectness: 0.0178 (0.0269) loss_rpn_box_reg: 0.0094 (0.0171) loss_da_image: 0.6778 (0.6655) loss_da_instance: 0.6407 (0.6544) loss_da_consistency: 0.0067 (0.0071) time: 0.8323 (0.8361) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:58:25,657 maskrcnn_benchmark.trainer INFO: eta: 11:01:20 iter: 22540 loss: 1.4833 (1.5539) loss_classifier: 0.0506 (0.0869) loss_box_reg: 0.0696 (0.0959) loss_objectness: 0.0135 (0.0269) loss_rpn_box_reg: 0.0077 (0.0171) loss_da_image: 0.6710 (0.6655) loss_da_instance: 0.6643 (0.6544) loss_da_consistency: 0.0066 (0.0071) time: 0.8353 (0.8361) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:58:42,319 maskrcnn_benchmark.trainer INFO: eta: 11:01:03 iter: 22560 loss: 1.4691 (1.5538) loss_classifier: 0.0481 (0.0868) loss_box_reg: 0.0564 (0.0959) loss_objectness: 0.0057 (0.0269) loss_rpn_box_reg: 0.0059 (0.0171) loss_da_image: 0.6746 (0.6655) loss_da_instance: 0.6738 (0.6544) loss_da_consistency: 0.0055 (0.0071) time: 0.8324 (0.8361) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:58:58,987 maskrcnn_benchmark.trainer INFO: eta: 11:00:46 iter: 22580 loss: 1.4985 (1.5538) loss_classifier: 0.0597 (0.0868) loss_box_reg: 0.0707 (0.0958) loss_objectness: 0.0126 (0.0269) loss_rpn_box_reg: 0.0099 (0.0171) loss_da_image: 0.6770 (0.6656) loss_da_instance: 0.6584 (0.6544) loss_da_consistency: 0.0050 (0.0071) time: 0.8338 (0.8361) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:59:15,639 maskrcnn_benchmark.trainer INFO: eta: 11:00:29 iter: 22600 loss: 1.4614 (1.5537) loss_classifier: 0.0512 (0.0868) loss_box_reg: 0.0614 (0.0958) loss_objectness: 0.0111 (0.0269) loss_rpn_box_reg: 0.0076 (0.0171) loss_da_image: 0.6709 (0.6656) loss_da_instance: 0.6570 (0.6544) loss_da_consistency: 0.0058 (0.0071) time: 0.8313 (0.8361) data: 0.0666 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:59:32,253 maskrcnn_benchmark.trainer INFO: eta: 11:00:12 iter: 22620 loss: 1.4990 (1.5537) loss_classifier: 0.0566 (0.0868) loss_box_reg: 0.0704 (0.0958) loss_objectness: 0.0100 (0.0269) loss_rpn_box_reg: 0.0083 (0.0171) loss_da_image: 0.6783 (0.6656) loss_da_instance: 0.6582 (0.6544) loss_da_consistency: 0.0060 (0.0071) time: 0.8307 (0.8361) data: 0.0675 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 18:59:48,912 maskrcnn_benchmark.trainer INFO: eta: 10:59:55 iter: 22640 loss: 1.4745 (1.5536) loss_classifier: 0.0473 (0.0867) loss_box_reg: 0.0695 (0.0958) loss_objectness: 0.0115 (0.0269) loss_rpn_box_reg: 0.0067 (0.0171) loss_da_image: 0.6683 (0.6656) loss_da_instance: 0.6533 (0.6544) loss_da_consistency: 0.0059 (0.0071) time: 0.8326 (0.8361) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:00:05,691 maskrcnn_benchmark.trainer INFO: eta: 10:59:39 iter: 22660 loss: 1.5639 (1.5537) loss_classifier: 0.0715 (0.0867) loss_box_reg: 0.0583 (0.0958) loss_objectness: 0.0290 (0.0269) loss_rpn_box_reg: 0.0079 (0.0171) loss_da_image: 0.6806 (0.6656) loss_da_instance: 0.6646 (0.6544) loss_da_consistency: 0.0079 (0.0071) time: 0.8378 (0.8361) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:00:22,383 maskrcnn_benchmark.trainer INFO: eta: 10:59:22 iter: 22680 loss: 1.4796 (1.5537) loss_classifier: 0.0634 (0.0867) loss_box_reg: 0.0760 (0.0958) loss_objectness: 0.0116 (0.0269) loss_rpn_box_reg: 0.0087 (0.0171) loss_da_image: 0.6523 (0.6656) loss_da_instance: 0.6715 (0.6545) loss_da_consistency: 0.0067 (0.0071) time: 0.8346 (0.8361) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:00:39,055 maskrcnn_benchmark.trainer INFO: eta: 10:59:05 iter: 22700 loss: 1.5110 (1.5537) loss_classifier: 0.0684 (0.0867) loss_box_reg: 0.0709 (0.0958) loss_objectness: 0.0139 (0.0269) loss_rpn_box_reg: 0.0100 (0.0171) loss_da_image: 0.6587 (0.6656) loss_da_instance: 0.6664 (0.6545) loss_da_consistency: 0.0054 (0.0071) time: 0.8338 (0.8361) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:00:55,695 maskrcnn_benchmark.trainer INFO: eta: 10:58:48 iter: 22720 loss: 1.5227 (1.5536) loss_classifier: 0.0810 (0.0867) loss_box_reg: 0.0785 (0.0958) loss_objectness: 0.0175 (0.0269) loss_rpn_box_reg: 0.0168 (0.0171) loss_da_image: 0.6482 (0.6656) loss_da_instance: 0.6490 (0.6545) loss_da_consistency: 0.0068 (0.0071) time: 0.8311 (0.8361) data: 0.0646 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:01:12,317 maskrcnn_benchmark.trainer INFO: eta: 10:58:31 iter: 22740 loss: 1.5050 (1.5536) loss_classifier: 0.0791 (0.0867) loss_box_reg: 0.0716 (0.0957) loss_objectness: 0.0135 (0.0269) loss_rpn_box_reg: 0.0067 (0.0171) loss_da_image: 0.6333 (0.6656) loss_da_instance: 0.6583 (0.6545) loss_da_consistency: 0.0071 (0.0071) time: 0.8303 (0.8361) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:01:29,002 maskrcnn_benchmark.trainer INFO: eta: 10:58:15 iter: 22760 loss: 1.4641 (1.5535) loss_classifier: 0.0767 (0.0867) loss_box_reg: 0.0454 (0.0957) loss_objectness: 0.0114 (0.0269) loss_rpn_box_reg: 0.0056 (0.0171) loss_da_image: 0.6531 (0.6655) loss_da_instance: 0.6608 (0.6545) loss_da_consistency: 0.0060 (0.0071) time: 0.8347 (0.8361) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:01:45,644 maskrcnn_benchmark.trainer INFO: eta: 10:57:58 iter: 22780 loss: 1.4459 (1.5535) loss_classifier: 0.0415 (0.0867) loss_box_reg: 0.0511 (0.0957) loss_objectness: 0.0088 (0.0269) loss_rpn_box_reg: 0.0082 (0.0171) loss_da_image: 0.6616 (0.6655) loss_da_instance: 0.6608 (0.6545) loss_da_consistency: 0.0057 (0.0071) time: 0.8317 (0.8360) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:02:02,314 maskrcnn_benchmark.trainer INFO: eta: 10:57:41 iter: 22800 loss: 1.4435 (1.5534) loss_classifier: 0.0555 (0.0867) loss_box_reg: 0.0541 (0.0957) loss_objectness: 0.0104 (0.0268) loss_rpn_box_reg: 0.0091 (0.0171) loss_da_image: 0.6563 (0.6655) loss_da_instance: 0.6697 (0.6545) loss_da_consistency: 0.0064 (0.0071) time: 0.8334 (0.8360) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:02:19,007 maskrcnn_benchmark.trainer INFO: eta: 10:57:24 iter: 22820 loss: 1.4675 (1.5534) loss_classifier: 0.0532 (0.0866) loss_box_reg: 0.0648 (0.0956) loss_objectness: 0.0082 (0.0268) loss_rpn_box_reg: 0.0035 (0.0171) loss_da_image: 0.6544 (0.6655) loss_da_instance: 0.6626 (0.6545) loss_da_consistency: 0.0061 (0.0071) time: 0.8342 (0.8360) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:02:35,662 maskrcnn_benchmark.trainer INFO: eta: 10:57:07 iter: 22840 loss: 1.4846 (1.5533) loss_classifier: 0.0591 (0.0866) loss_box_reg: 0.0793 (0.0956) loss_objectness: 0.0067 (0.0268) loss_rpn_box_reg: 0.0102 (0.0171) loss_da_image: 0.6559 (0.6655) loss_da_instance: 0.6553 (0.6545) loss_da_consistency: 0.0065 (0.0071) time: 0.8327 (0.8360) data: 0.0627 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:02:52,346 maskrcnn_benchmark.trainer INFO: eta: 10:56:50 iter: 22860 loss: 1.4911 (1.5533) loss_classifier: 0.0622 (0.0866) loss_box_reg: 0.0614 (0.0956) loss_objectness: 0.0145 (0.0268) loss_rpn_box_reg: 0.0069 (0.0171) loss_da_image: 0.6497 (0.6655) loss_da_instance: 0.6712 (0.6545) loss_da_consistency: 0.0056 (0.0071) time: 0.8341 (0.8360) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:03:09,057 maskrcnn_benchmark.trainer INFO: eta: 10:56:34 iter: 22880 loss: 1.4956 (1.5533) loss_classifier: 0.0392 (0.0866) loss_box_reg: 0.0561 (0.0956) loss_objectness: 0.0096 (0.0268) loss_rpn_box_reg: 0.0036 (0.0171) loss_da_image: 0.6646 (0.6655) loss_da_instance: 0.6676 (0.6545) loss_da_consistency: 0.0049 (0.0071) time: 0.8356 (0.8360) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:03:25,793 maskrcnn_benchmark.trainer INFO: eta: 10:56:17 iter: 22900 loss: 1.5269 (1.5532) loss_classifier: 0.0705 (0.0866) loss_box_reg: 0.1023 (0.0956) loss_objectness: 0.0138 (0.0268) loss_rpn_box_reg: 0.0164 (0.0171) loss_da_image: 0.6635 (0.6655) loss_da_instance: 0.6600 (0.6545) loss_da_consistency: 0.0066 (0.0071) time: 0.8365 (0.8360) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:03:42,409 maskrcnn_benchmark.trainer INFO: eta: 10:56:00 iter: 22920 loss: 1.5065 (1.5532) loss_classifier: 0.0603 (0.0866) loss_box_reg: 0.0752 (0.0956) loss_objectness: 0.0161 (0.0268) loss_rpn_box_reg: 0.0092 (0.0171) loss_da_image: 0.6713 (0.6655) loss_da_instance: 0.6625 (0.6546) loss_da_consistency: 0.0056 (0.0071) time: 0.8295 (0.8360) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:03:59,062 maskrcnn_benchmark.trainer INFO: eta: 10:55:43 iter: 22940 loss: 1.4985 (1.5532) loss_classifier: 0.0665 (0.0866) loss_box_reg: 0.0576 (0.0956) loss_objectness: 0.0133 (0.0268) loss_rpn_box_reg: 0.0108 (0.0171) loss_da_image: 0.6626 (0.6655) loss_da_instance: 0.6581 (0.6546) loss_da_consistency: 0.0066 (0.0071) time: 0.8321 (0.8360) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:04:15,706 maskrcnn_benchmark.trainer INFO: eta: 10:55:26 iter: 22960 loss: 1.5419 (1.5532) loss_classifier: 0.0607 (0.0866) loss_box_reg: 0.0806 (0.0956) loss_objectness: 0.0141 (0.0268) loss_rpn_box_reg: 0.0052 (0.0171) loss_da_image: 0.6617 (0.6655) loss_da_instance: 0.6738 (0.6546) loss_da_consistency: 0.0052 (0.0071) time: 0.8313 (0.8360) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:04:32,345 maskrcnn_benchmark.trainer INFO: eta: 10:55:09 iter: 22980 loss: 1.5026 (1.5532) loss_classifier: 0.0613 (0.0866) loss_box_reg: 0.0844 (0.0956) loss_objectness: 0.0080 (0.0268) loss_rpn_box_reg: 0.0092 (0.0171) loss_da_image: 0.6532 (0.6655) loss_da_instance: 0.6640 (0.6546) loss_da_consistency: 0.0051 (0.0071) time: 0.8322 (0.8360) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:04:49,028 maskrcnn_benchmark.trainer INFO: eta: 10:54:53 iter: 23000 loss: 1.4757 (1.5531) loss_classifier: 0.0505 (0.0865) loss_box_reg: 0.0493 (0.0956) loss_objectness: 0.0101 (0.0268) loss_rpn_box_reg: 0.0072 (0.0171) loss_da_image: 0.6587 (0.6655) loss_da_instance: 0.6681 (0.6546) loss_da_consistency: 0.0057 (0.0071) time: 0.8339 (0.8360) data: 0.0644 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:05:05,715 maskrcnn_benchmark.trainer INFO: eta: 10:54:36 iter: 23020 loss: 1.4961 (1.5531) loss_classifier: 0.0600 (0.0865) loss_box_reg: 0.0694 (0.0955) loss_objectness: 0.0097 (0.0268) loss_rpn_box_reg: 0.0064 (0.0171) loss_da_image: 0.6664 (0.6655) loss_da_instance: 0.6702 (0.6546) loss_da_consistency: 0.0051 (0.0071) time: 0.8345 (0.8360) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:05:22,397 maskrcnn_benchmark.trainer INFO: eta: 10:54:19 iter: 23040 loss: 1.5474 (1.5531) loss_classifier: 0.0728 (0.0865) loss_box_reg: 0.0754 (0.0955) loss_objectness: 0.0187 (0.0268) loss_rpn_box_reg: 0.0104 (0.0171) loss_da_image: 0.6733 (0.6655) loss_da_instance: 0.6631 (0.6546) loss_da_consistency: 0.0053 (0.0071) time: 0.8341 (0.8360) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:05:39,093 maskrcnn_benchmark.trainer INFO: eta: 10:54:02 iter: 23060 loss: 1.5306 (1.5531) loss_classifier: 0.0799 (0.0865) loss_box_reg: 0.0966 (0.0955) loss_objectness: 0.0113 (0.0267) loss_rpn_box_reg: 0.0072 (0.0171) loss_da_image: 0.6681 (0.6655) loss_da_instance: 0.6673 (0.6546) loss_da_consistency: 0.0065 (0.0071) time: 0.8345 (0.8360) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:05:55,727 maskrcnn_benchmark.trainer INFO: eta: 10:53:45 iter: 23080 loss: 1.4605 (1.5530) loss_classifier: 0.0411 (0.0865) loss_box_reg: 0.0425 (0.0955) loss_objectness: 0.0081 (0.0267) loss_rpn_box_reg: 0.0064 (0.0171) loss_da_image: 0.6762 (0.6655) loss_da_instance: 0.6699 (0.6546) loss_da_consistency: 0.0044 (0.0071) time: 0.8303 (0.8360) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:06:12,432 maskrcnn_benchmark.trainer INFO: eta: 10:53:29 iter: 23100 loss: 1.4987 (1.5530) loss_classifier: 0.0620 (0.0865) loss_box_reg: 0.0677 (0.0955) loss_objectness: 0.0086 (0.0267) loss_rpn_box_reg: 0.0067 (0.0170) loss_da_image: 0.6732 (0.6655) loss_da_instance: 0.6623 (0.6546) loss_da_consistency: 0.0051 (0.0071) time: 0.8341 (0.8360) data: 0.0640 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:06:29,098 maskrcnn_benchmark.trainer INFO: eta: 10:53:12 iter: 23120 loss: 1.5148 (1.5530) loss_classifier: 0.0817 (0.0865) loss_box_reg: 0.0650 (0.0955) loss_objectness: 0.0178 (0.0267) loss_rpn_box_reg: 0.0091 (0.0170) loss_da_image: 0.6785 (0.6655) loss_da_instance: 0.6739 (0.6546) loss_da_consistency: 0.0055 (0.0071) time: 0.8331 (0.8360) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:06:45,750 maskrcnn_benchmark.trainer INFO: eta: 10:52:55 iter: 23140 loss: 1.4557 (1.5530) loss_classifier: 0.0399 (0.0865) loss_box_reg: 0.0443 (0.0955) loss_objectness: 0.0105 (0.0267) loss_rpn_box_reg: 0.0067 (0.0170) loss_da_image: 0.6648 (0.6655) loss_da_instance: 0.6736 (0.6547) loss_da_consistency: 0.0054 (0.0071) time: 0.8335 (0.8360) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:07:02,438 maskrcnn_benchmark.trainer INFO: eta: 10:52:38 iter: 23160 loss: 1.4788 (1.5529) loss_classifier: 0.0502 (0.0864) loss_box_reg: 0.0457 (0.0954) loss_objectness: 0.0102 (0.0267) loss_rpn_box_reg: 0.0063 (0.0170) loss_da_image: 0.6590 (0.6655) loss_da_instance: 0.6667 (0.6547) loss_da_consistency: 0.0054 (0.0071) time: 0.8328 (0.8360) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:07:19,132 maskrcnn_benchmark.trainer INFO: eta: 10:52:21 iter: 23180 loss: 1.5103 (1.5529) loss_classifier: 0.0643 (0.0864) loss_box_reg: 0.0649 (0.0954) loss_objectness: 0.0147 (0.0267) loss_rpn_box_reg: 0.0111 (0.0170) loss_da_image: 0.6712 (0.6655) loss_da_instance: 0.6634 (0.6547) loss_da_consistency: 0.0057 (0.0071) time: 0.8348 (0.8360) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:07:35,768 maskrcnn_benchmark.trainer INFO: eta: 10:52:05 iter: 23200 loss: 1.4652 (1.5528) loss_classifier: 0.0608 (0.0864) loss_box_reg: 0.0644 (0.0954) loss_objectness: 0.0105 (0.0267) loss_rpn_box_reg: 0.0063 (0.0170) loss_da_image: 0.6552 (0.6655) loss_da_instance: 0.6645 (0.6547) loss_da_consistency: 0.0051 (0.0071) time: 0.8300 (0.8360) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:07:52,385 maskrcnn_benchmark.trainer INFO: eta: 10:51:48 iter: 23220 loss: 1.4837 (1.5528) loss_classifier: 0.0605 (0.0864) loss_box_reg: 0.0465 (0.0954) loss_objectness: 0.0087 (0.0267) loss_rpn_box_reg: 0.0076 (0.0170) loss_da_image: 0.6731 (0.6655) loss_da_instance: 0.6667 (0.6547) loss_da_consistency: 0.0051 (0.0071) time: 0.8298 (0.8360) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:08:08,978 maskrcnn_benchmark.trainer INFO: eta: 10:51:31 iter: 23240 loss: 1.4581 (1.5528) loss_classifier: 0.0424 (0.0864) loss_box_reg: 0.0533 (0.0954) loss_objectness: 0.0054 (0.0267) loss_rpn_box_reg: 0.0070 (0.0170) loss_da_image: 0.6745 (0.6655) loss_da_instance: 0.6585 (0.6547) loss_da_consistency: 0.0046 (0.0071) time: 0.8290 (0.8360) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:08:25,631 maskrcnn_benchmark.trainer INFO: eta: 10:51:14 iter: 23260 loss: 1.5135 (1.5528) loss_classifier: 0.0596 (0.0863) loss_box_reg: 0.0701 (0.0954) loss_objectness: 0.0109 (0.0267) loss_rpn_box_reg: 0.0100 (0.0170) loss_da_image: 0.6744 (0.6655) loss_da_instance: 0.6649 (0.6547) loss_da_consistency: 0.0064 (0.0071) time: 0.8331 (0.8360) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:08:42,312 maskrcnn_benchmark.trainer INFO: eta: 10:50:57 iter: 23280 loss: 1.4917 (1.5528) loss_classifier: 0.0759 (0.0864) loss_box_reg: 0.0791 (0.0954) loss_objectness: 0.0200 (0.0267) loss_rpn_box_reg: 0.0140 (0.0170) loss_da_image: 0.6608 (0.6655) loss_da_instance: 0.6595 (0.6547) loss_da_consistency: 0.0064 (0.0071) time: 0.8334 (0.8360) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:08:58,992 maskrcnn_benchmark.trainer INFO: eta: 10:50:40 iter: 23300 loss: 1.5537 (1.5528) loss_classifier: 0.0841 (0.0864) loss_box_reg: 0.0977 (0.0954) loss_objectness: 0.0178 (0.0267) loss_rpn_box_reg: 0.0113 (0.0170) loss_da_image: 0.6667 (0.6655) loss_da_instance: 0.6739 (0.6547) loss_da_consistency: 0.0051 (0.0071) time: 0.8341 (0.8360) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:09:15,633 maskrcnn_benchmark.trainer INFO: eta: 10:50:23 iter: 23320 loss: 1.4872 (1.5527) loss_classifier: 0.0535 (0.0863) loss_box_reg: 0.0798 (0.0954) loss_objectness: 0.0097 (0.0267) loss_rpn_box_reg: 0.0045 (0.0170) loss_da_image: 0.6689 (0.6656) loss_da_instance: 0.6535 (0.6547) loss_da_consistency: 0.0056 (0.0071) time: 0.8315 (0.8360) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:09:32,305 maskrcnn_benchmark.trainer INFO: eta: 10:50:06 iter: 23340 loss: 1.4668 (1.5527) loss_classifier: 0.0559 (0.0863) loss_box_reg: 0.0476 (0.0953) loss_objectness: 0.0086 (0.0266) loss_rpn_box_reg: 0.0070 (0.0170) loss_da_image: 0.6745 (0.6656) loss_da_instance: 0.6645 (0.6547) loss_da_consistency: 0.0046 (0.0071) time: 0.8342 (0.8360) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:09:48,987 maskrcnn_benchmark.trainer INFO: eta: 10:49:50 iter: 23360 loss: 1.5386 (1.5527) loss_classifier: 0.0671 (0.0863) loss_box_reg: 0.0865 (0.0953) loss_objectness: 0.0142 (0.0266) loss_rpn_box_reg: 0.0147 (0.0170) loss_da_image: 0.6717 (0.6656) loss_da_instance: 0.6662 (0.6548) loss_da_consistency: 0.0051 (0.0071) time: 0.8325 (0.8360) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:10:05,640 maskrcnn_benchmark.trainer INFO: eta: 10:49:33 iter: 23380 loss: 1.5284 (1.5527) loss_classifier: 0.0756 (0.0863) loss_box_reg: 0.0957 (0.0953) loss_objectness: 0.0137 (0.0266) loss_rpn_box_reg: 0.0082 (0.0170) loss_da_image: 0.6645 (0.6656) loss_da_instance: 0.6576 (0.6548) loss_da_consistency: 0.0058 (0.0071) time: 0.8330 (0.8360) data: 0.0645 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:10:22,312 maskrcnn_benchmark.trainer INFO: eta: 10:49:16 iter: 23400 loss: 1.4649 (1.5526) loss_classifier: 0.0556 (0.0863) loss_box_reg: 0.0427 (0.0953) loss_objectness: 0.0106 (0.0266) loss_rpn_box_reg: 0.0051 (0.0170) loss_da_image: 0.6679 (0.6656) loss_da_instance: 0.6715 (0.6548) loss_da_consistency: 0.0046 (0.0071) time: 0.8344 (0.8360) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:10:38,958 maskrcnn_benchmark.trainer INFO: eta: 10:48:59 iter: 23420 loss: 1.4937 (1.5526) loss_classifier: 0.0455 (0.0863) loss_box_reg: 0.0891 (0.0953) loss_objectness: 0.0160 (0.0266) loss_rpn_box_reg: 0.0113 (0.0170) loss_da_image: 0.6640 (0.6656) loss_da_instance: 0.6612 (0.6548) loss_da_consistency: 0.0065 (0.0071) time: 0.8311 (0.8360) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:10:55,603 maskrcnn_benchmark.trainer INFO: eta: 10:48:42 iter: 23440 loss: 1.4844 (1.5525) loss_classifier: 0.0587 (0.0862) loss_box_reg: 0.0696 (0.0953) loss_objectness: 0.0079 (0.0266) loss_rpn_box_reg: 0.0079 (0.0170) loss_da_image: 0.6673 (0.6656) loss_da_instance: 0.6610 (0.6548) loss_da_consistency: 0.0060 (0.0071) time: 0.8313 (0.8360) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:11:12,256 maskrcnn_benchmark.trainer INFO: eta: 10:48:25 iter: 23460 loss: 1.5262 (1.5525) loss_classifier: 0.0559 (0.0862) loss_box_reg: 0.0663 (0.0953) loss_objectness: 0.0133 (0.0266) loss_rpn_box_reg: 0.0069 (0.0170) loss_da_image: 0.6763 (0.6656) loss_da_instance: 0.6655 (0.6548) loss_da_consistency: 0.0055 (0.0071) time: 0.8314 (0.8360) data: 0.0630 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:11:28,924 maskrcnn_benchmark.trainer INFO: eta: 10:48:09 iter: 23480 loss: 1.4782 (1.5525) loss_classifier: 0.0542 (0.0862) loss_box_reg: 0.0531 (0.0952) loss_objectness: 0.0105 (0.0266) loss_rpn_box_reg: 0.0040 (0.0170) loss_da_image: 0.6730 (0.6656) loss_da_instance: 0.6658 (0.6548) loss_da_consistency: 0.0049 (0.0071) time: 0.8334 (0.8360) data: 0.0643 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:11:45,586 maskrcnn_benchmark.trainer INFO: eta: 10:47:52 iter: 23500 loss: 1.4695 (1.5524) loss_classifier: 0.0384 (0.0862) loss_box_reg: 0.0569 (0.0952) loss_objectness: 0.0059 (0.0266) loss_rpn_box_reg: 0.0059 (0.0170) loss_da_image: 0.6765 (0.6656) loss_da_instance: 0.6705 (0.6548) loss_da_consistency: 0.0050 (0.0071) time: 0.8325 (0.8360) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:12:02,258 maskrcnn_benchmark.trainer INFO: eta: 10:47:35 iter: 23520 loss: 1.4853 (1.5524) loss_classifier: 0.0640 (0.0862) loss_box_reg: 0.0679 (0.0952) loss_objectness: 0.0067 (0.0265) loss_rpn_box_reg: 0.0050 (0.0170) loss_da_image: 0.6752 (0.6656) loss_da_instance: 0.6591 (0.6548) loss_da_consistency: 0.0054 (0.0071) time: 0.8343 (0.8360) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:12:18,903 maskrcnn_benchmark.trainer INFO: eta: 10:47:18 iter: 23540 loss: 1.5445 (1.5524) loss_classifier: 0.0657 (0.0862) loss_box_reg: 0.1000 (0.0952) loss_objectness: 0.0179 (0.0265) loss_rpn_box_reg: 0.0102 (0.0170) loss_da_image: 0.6761 (0.6656) loss_da_instance: 0.6567 (0.6548) loss_da_consistency: 0.0063 (0.0071) time: 0.8317 (0.8360) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:12:35,569 maskrcnn_benchmark.trainer INFO: eta: 10:47:01 iter: 23560 loss: 1.4777 (1.5523) loss_classifier: 0.0545 (0.0861) loss_box_reg: 0.0534 (0.0952) loss_objectness: 0.0104 (0.0265) loss_rpn_box_reg: 0.0092 (0.0170) loss_da_image: 0.6767 (0.6656) loss_da_instance: 0.6521 (0.6548) loss_da_consistency: 0.0070 (0.0071) time: 0.8319 (0.8360) data: 0.0648 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:12:52,227 maskrcnn_benchmark.trainer INFO: eta: 10:46:44 iter: 23580 loss: 1.5019 (1.5523) loss_classifier: 0.0530 (0.0861) loss_box_reg: 0.0753 (0.0952) loss_objectness: 0.0068 (0.0265) loss_rpn_box_reg: 0.0094 (0.0170) loss_da_image: 0.6692 (0.6656) loss_da_instance: 0.6609 (0.6548) loss_da_consistency: 0.0053 (0.0071) time: 0.8317 (0.8360) data: 0.0649 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:13:08,847 maskrcnn_benchmark.trainer INFO: eta: 10:46:28 iter: 23600 loss: 1.4818 (1.5523) loss_classifier: 0.0749 (0.0861) loss_box_reg: 0.0738 (0.0952) loss_objectness: 0.0157 (0.0265) loss_rpn_box_reg: 0.0033 (0.0170) loss_da_image: 0.6696 (0.6656) loss_da_instance: 0.6445 (0.6548) loss_da_consistency: 0.0063 (0.0071) time: 0.8323 (0.8359) data: 0.0629 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:13:25,478 maskrcnn_benchmark.trainer INFO: eta: 10:46:11 iter: 23620 loss: 1.4402 (1.5522) loss_classifier: 0.0520 (0.0861) loss_box_reg: 0.0481 (0.0951) loss_objectness: 0.0099 (0.0265) loss_rpn_box_reg: 0.0073 (0.0170) loss_da_image: 0.6665 (0.6656) loss_da_instance: 0.6650 (0.6548) loss_da_consistency: 0.0071 (0.0071) time: 0.8314 (0.8359) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:13:42,154 maskrcnn_benchmark.trainer INFO: eta: 10:45:54 iter: 23640 loss: 1.4982 (1.5522) loss_classifier: 0.0514 (0.0861) loss_box_reg: 0.0725 (0.0951) loss_objectness: 0.0102 (0.0265) loss_rpn_box_reg: 0.0086 (0.0170) loss_da_image: 0.6732 (0.6656) loss_da_instance: 0.6556 (0.6548) loss_da_consistency: 0.0060 (0.0071) time: 0.8337 (0.8359) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:13:58,826 maskrcnn_benchmark.trainer INFO: eta: 10:45:37 iter: 23660 loss: 1.4685 (1.5522) loss_classifier: 0.0418 (0.0860) loss_box_reg: 0.0474 (0.0951) loss_objectness: 0.0074 (0.0265) loss_rpn_box_reg: 0.0081 (0.0170) loss_da_image: 0.6758 (0.6656) loss_da_instance: 0.6752 (0.6549) loss_da_consistency: 0.0049 (0.0071) time: 0.8344 (0.8359) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:14:15,490 maskrcnn_benchmark.trainer INFO: eta: 10:45:20 iter: 23680 loss: 1.5722 (1.5522) loss_classifier: 0.0781 (0.0860) loss_box_reg: 0.1154 (0.0951) loss_objectness: 0.0127 (0.0265) loss_rpn_box_reg: 0.0100 (0.0170) loss_da_image: 0.6746 (0.6657) loss_da_instance: 0.6575 (0.6549) loss_da_consistency: 0.0067 (0.0071) time: 0.8341 (0.8359) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:14:32,130 maskrcnn_benchmark.trainer INFO: eta: 10:45:03 iter: 23700 loss: 1.4417 (1.5521) loss_classifier: 0.0519 (0.0860) loss_box_reg: 0.0454 (0.0951) loss_objectness: 0.0119 (0.0265) loss_rpn_box_reg: 0.0087 (0.0169) loss_da_image: 0.6742 (0.6657) loss_da_instance: 0.6603 (0.6549) loss_da_consistency: 0.0056 (0.0071) time: 0.8319 (0.8359) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:14:48,811 maskrcnn_benchmark.trainer INFO: eta: 10:44:47 iter: 23720 loss: 1.5087 (1.5521) loss_classifier: 0.0725 (0.0860) loss_box_reg: 0.0712 (0.0951) loss_objectness: 0.0129 (0.0265) loss_rpn_box_reg: 0.0141 (0.0169) loss_da_image: 0.6726 (0.6657) loss_da_instance: 0.6575 (0.6549) loss_da_consistency: 0.0056 (0.0071) time: 0.8331 (0.8359) data: 0.0653 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:15:05,534 maskrcnn_benchmark.trainer INFO: eta: 10:44:30 iter: 23740 loss: 1.5002 (1.5521) loss_classifier: 0.0644 (0.0860) loss_box_reg: 0.0747 (0.0951) loss_objectness: 0.0123 (0.0265) loss_rpn_box_reg: 0.0094 (0.0169) loss_da_image: 0.6711 (0.6657) loss_da_instance: 0.6536 (0.6549) loss_da_consistency: 0.0058 (0.0071) time: 0.8358 (0.8359) data: 0.0639 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:15:22,180 maskrcnn_benchmark.trainer INFO: eta: 10:44:13 iter: 23760 loss: 1.4907 (1.5521) loss_classifier: 0.0650 (0.0860) loss_box_reg: 0.0675 (0.0951) loss_objectness: 0.0097 (0.0265) loss_rpn_box_reg: 0.0086 (0.0170) loss_da_image: 0.6704 (0.6657) loss_da_instance: 0.6499 (0.6549) loss_da_consistency: 0.0060 (0.0071) time: 0.8324 (0.8359) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:15:38,840 maskrcnn_benchmark.trainer INFO: eta: 10:43:56 iter: 23780 loss: 1.4827 (1.5520) loss_classifier: 0.0573 (0.0860) loss_box_reg: 0.0648 (0.0950) loss_objectness: 0.0089 (0.0264) loss_rpn_box_reg: 0.0063 (0.0169) loss_da_image: 0.6747 (0.6657) loss_da_instance: 0.6598 (0.6549) loss_da_consistency: 0.0053 (0.0071) time: 0.8327 (0.8359) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:15:55,555 maskrcnn_benchmark.trainer INFO: eta: 10:43:39 iter: 23800 loss: 1.5099 (1.5520) loss_classifier: 0.0687 (0.0859) loss_box_reg: 0.0765 (0.0950) loss_objectness: 0.0077 (0.0264) loss_rpn_box_reg: 0.0116 (0.0169) loss_da_image: 0.6766 (0.6657) loss_da_instance: 0.6602 (0.6549) loss_da_consistency: 0.0057 (0.0071) time: 0.8359 (0.8359) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:16:12,247 maskrcnn_benchmark.trainer INFO: eta: 10:43:23 iter: 23820 loss: 1.4789 (1.5520) loss_classifier: 0.0516 (0.0859) loss_box_reg: 0.0643 (0.0950) loss_objectness: 0.0136 (0.0264) loss_rpn_box_reg: 0.0122 (0.0169) loss_da_image: 0.6812 (0.6657) loss_da_instance: 0.6567 (0.6549) loss_da_consistency: 0.0054 (0.0071) time: 0.8339 (0.8359) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:16:28,924 maskrcnn_benchmark.trainer INFO: eta: 10:43:06 iter: 23840 loss: 1.4854 (1.5519) loss_classifier: 0.0616 (0.0859) loss_box_reg: 0.0669 (0.0950) loss_objectness: 0.0134 (0.0264) loss_rpn_box_reg: 0.0085 (0.0169) loss_da_image: 0.6684 (0.6657) loss_da_instance: 0.6552 (0.6549) loss_da_consistency: 0.0052 (0.0071) time: 0.8351 (0.8359) data: 0.0635 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:16:45,561 maskrcnn_benchmark.trainer INFO: eta: 10:42:49 iter: 23860 loss: 1.5045 (1.5519) loss_classifier: 0.0611 (0.0859) loss_box_reg: 0.0741 (0.0950) loss_objectness: 0.0103 (0.0264) loss_rpn_box_reg: 0.0100 (0.0169) loss_da_image: 0.6698 (0.6657) loss_da_instance: 0.6560 (0.6549) loss_da_consistency: 0.0060 (0.0071) time: 0.8316 (0.8359) data: 0.0636 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:17:02,237 maskrcnn_benchmark.trainer INFO: eta: 10:42:32 iter: 23880 loss: 1.4870 (1.5519) loss_classifier: 0.0491 (0.0859) loss_box_reg: 0.1004 (0.0950) loss_objectness: 0.0122 (0.0264) loss_rpn_box_reg: 0.0067 (0.0169) loss_da_image: 0.6657 (0.6657) loss_da_instance: 0.6651 (0.6549) loss_da_consistency: 0.0068 (0.0071) time: 0.8335 (0.8359) data: 0.0641 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:17:18,885 maskrcnn_benchmark.trainer INFO: eta: 10:42:15 iter: 23900 loss: 1.5201 (1.5518) loss_classifier: 0.0612 (0.0859) loss_box_reg: 0.0684 (0.0950) loss_objectness: 0.0093 (0.0264) loss_rpn_box_reg: 0.0083 (0.0169) loss_da_image: 0.6709 (0.6657) loss_da_instance: 0.6586 (0.6549) loss_da_consistency: 0.0051 (0.0071) time: 0.8327 (0.8359) data: 0.0634 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:17:35,542 maskrcnn_benchmark.trainer INFO: eta: 10:41:58 iter: 23920 loss: 1.4786 (1.5518) loss_classifier: 0.0608 (0.0858) loss_box_reg: 0.0728 (0.0950) loss_objectness: 0.0125 (0.0264) loss_rpn_box_reg: 0.0113 (0.0169) loss_da_image: 0.6704 (0.6657) loss_da_instance: 0.6594 (0.6549) loss_da_consistency: 0.0057 (0.0071) time: 0.8327 (0.8359) data: 0.0642 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:17:52,204 maskrcnn_benchmark.trainer INFO: eta: 10:41:42 iter: 23940 loss: 1.4481 (1.5518) loss_classifier: 0.0352 (0.0858) loss_box_reg: 0.0393 (0.0949) loss_objectness: 0.0083 (0.0264) loss_rpn_box_reg: 0.0117 (0.0169) loss_da_image: 0.6764 (0.6657) loss_da_instance: 0.6715 (0.6549) loss_da_consistency: 0.0049 (0.0071) time: 0.8336 (0.8359) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:18:08,845 maskrcnn_benchmark.trainer INFO: eta: 10:41:25 iter: 23960 loss: 1.4706 (1.5517) loss_classifier: 0.0569 (0.0858) loss_box_reg: 0.0673 (0.0949) loss_objectness: 0.0125 (0.0264) loss_rpn_box_reg: 0.0073 (0.0169) loss_da_image: 0.6758 (0.6657) loss_da_instance: 0.6552 (0.6549) loss_da_consistency: 0.0050 (0.0071) time: 0.8319 (0.8359) data: 0.0633 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:18:25,491 maskrcnn_benchmark.trainer INFO: eta: 10:41:08 iter: 23980 loss: 1.4530 (1.5517) loss_classifier: 0.0389 (0.0858) loss_box_reg: 0.0498 (0.0949) loss_objectness: 0.0094 (0.0264) loss_rpn_box_reg: 0.0045 (0.0169) loss_da_image: 0.6761 (0.6657) loss_da_instance: 0.6628 (0.6549) loss_da_consistency: 0.0049 (0.0071) time: 0.8310 (0.8359) data: 0.0621 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:18:42,127 maskrcnn_benchmark.trainer INFO: eta: 10:40:51 iter: 24000 loss: 1.4521 (1.5517) loss_classifier: 0.0437 (0.0858) loss_box_reg: 0.0504 (0.0949) loss_objectness: 0.0141 (0.0264) loss_rpn_box_reg: 0.0053 (0.0169) loss_da_image: 0.6717 (0.6658) loss_da_instance: 0.6663 (0.6549) loss_da_consistency: 0.0052 (0.0070) time: 0.8316 (0.8359) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:18:58,799 maskrcnn_benchmark.trainer INFO: eta: 10:40:34 iter: 24020 loss: 1.4816 (1.5516) loss_classifier: 0.0469 (0.0857) loss_box_reg: 0.0649 (0.0949) loss_objectness: 0.0094 (0.0263) loss_rpn_box_reg: 0.0063 (0.0169) loss_da_image: 0.6719 (0.6658) loss_da_instance: 0.6640 (0.6550) loss_da_consistency: 0.0050 (0.0070) time: 0.8340 (0.8359) data: 0.0637 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:19:15,458 maskrcnn_benchmark.trainer INFO: eta: 10:40:17 iter: 24040 loss: 1.4921 (1.5516) loss_classifier: 0.0481 (0.0857) loss_box_reg: 0.0671 (0.0948) loss_objectness: 0.0110 (0.0263) loss_rpn_box_reg: 0.0072 (0.0169) loss_da_image: 0.6746 (0.6658) loss_da_instance: 0.6655 (0.6550) loss_da_consistency: 0.0064 (0.0070) time: 0.8331 (0.8359) data: 0.0631 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:19:32,146 maskrcnn_benchmark.trainer INFO: eta: 10:40:01 iter: 24060 loss: 1.4816 (1.5515) loss_classifier: 0.0604 (0.0857) loss_box_reg: 0.0646 (0.0948) loss_objectness: 0.0090 (0.0263) loss_rpn_box_reg: 0.0076 (0.0169) loss_da_image: 0.6693 (0.6658) loss_da_instance: 0.6618 (0.6550) loss_da_consistency: 0.0054 (0.0070) time: 0.8341 (0.8359) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:19:48,793 maskrcnn_benchmark.trainer INFO: eta: 10:39:44 iter: 24080 loss: 1.4261 (1.5515) loss_classifier: 0.0442 (0.0857) loss_box_reg: 0.0329 (0.0948) loss_objectness: 0.0047 (0.0263) loss_rpn_box_reg: 0.0047 (0.0169) loss_da_image: 0.6744 (0.6658) loss_da_instance: 0.6685 (0.6550) loss_da_consistency: 0.0054 (0.0070) time: 0.8313 (0.8359) data: 0.0625 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:20:05,466 maskrcnn_benchmark.trainer INFO: eta: 10:39:27 iter: 24100 loss: 1.4965 (1.5514) loss_classifier: 0.0552 (0.0856) loss_box_reg: 0.0715 (0.0948) loss_objectness: 0.0079 (0.0263) loss_rpn_box_reg: 0.0099 (0.0169) loss_da_image: 0.6805 (0.6658) loss_da_instance: 0.6560 (0.6550) loss_da_consistency: 0.0056 (0.0070) time: 0.8343 (0.8359) data: 0.0632 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:20:22,138 maskrcnn_benchmark.trainer INFO: eta: 10:39:10 iter: 24120 loss: 1.4714 (1.5514) loss_classifier: 0.0654 (0.0856) loss_box_reg: 0.0435 (0.0948) loss_objectness: 0.0097 (0.0263) loss_rpn_box_reg: 0.0092 (0.0169) loss_da_image: 0.6726 (0.6658) loss_da_instance: 0.6498 (0.6550) loss_da_consistency: 0.0051 (0.0070) time: 0.8329 (0.8359) data: 0.0628 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:20:38,835 maskrcnn_benchmark.trainer INFO: eta: 10:38:53 iter: 24140 loss: 1.4828 (1.5513) loss_classifier: 0.0491 (0.0856) loss_box_reg: 0.0503 (0.0947) loss_objectness: 0.0061 (0.0263) loss_rpn_box_reg: 0.0074 (0.0169) loss_da_image: 0.6739 (0.6658) loss_da_instance: 0.6615 (0.6550) loss_da_consistency: 0.0049 (0.0070) time: 0.8366 (0.8359) data: 0.0626 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:20:55,595 maskrcnn_benchmark.trainer INFO: eta: 10:38:37 iter: 24160 loss: 1.4887 (1.5513) loss_classifier: 0.0644 (0.0856) loss_box_reg: 0.0685 (0.0947) loss_objectness: 0.0108 (0.0263) loss_rpn_box_reg: 0.0081 (0.0169) loss_da_image: 0.6759 (0.6658) loss_da_instance: 0.6600 (0.6550) loss_da_consistency: 0.0057 (0.0070) time: 0.8372 (0.8359) data: 0.0649 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:21:12,246 maskrcnn_benchmark.trainer INFO: eta: 10:38:20 iter: 24180 loss: 1.4870 (1.5513) loss_classifier: 0.0408 (0.0856) loss_box_reg: 0.0684 (0.0947) loss_objectness: 0.0071 (0.0262) loss_rpn_box_reg: 0.0063 (0.0169) loss_da_image: 0.6775 (0.6658) loss_da_instance: 0.6656 (0.6550) loss_da_consistency: 0.0044 (0.0070) time: 0.8327 (0.8359) data: 0.0623 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:21:28,854 maskrcnn_benchmark.trainer INFO: eta: 10:38:03 iter: 24200 loss: 1.4973 (1.5512) loss_classifier: 0.0660 (0.0855) loss_box_reg: 0.0801 (0.0947) loss_objectness: 0.0114 (0.0262) loss_rpn_box_reg: 0.0107 (0.0169) loss_da_image: 0.6719 (0.6658) loss_da_instance: 0.6425 (0.6550) loss_da_consistency: 0.0069 (0.0070) time: 0.8301 (0.8359) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:21:45,457 maskrcnn_benchmark.trainer INFO: eta: 10:37:46 iter: 24220 loss: 1.4586 (1.5512) loss_classifier: 0.0339 (0.0855) loss_box_reg: 0.0478 (0.0947) loss_objectness: 0.0074 (0.0262) loss_rpn_box_reg: 0.0062 (0.0169) loss_da_image: 0.6716 (0.6658) loss_da_instance: 0.6664 (0.6550) loss_da_consistency: 0.0047 (0.0070) time: 0.8298 (0.8359) data: 0.0620 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:22:02,058 maskrcnn_benchmark.trainer INFO: eta: 10:37:29 iter: 24240 loss: 1.4984 (1.5512) loss_classifier: 0.0559 (0.0855) loss_box_reg: 0.0744 (0.0947) loss_objectness: 0.0176 (0.0262) loss_rpn_box_reg: 0.0086 (0.0169) loss_da_image: 0.6587 (0.6658) loss_da_instance: 0.6537 (0.6550) loss_da_consistency: 0.0066 (0.0070) time: 0.8299 (0.8359) data: 0.0620 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:22:18,661 maskrcnn_benchmark.trainer INFO: eta: 10:37:12 iter: 24260 loss: 1.5087 (1.5512) loss_classifier: 0.0592 (0.0855) loss_box_reg: 0.0710 (0.0947) loss_objectness: 0.0126 (0.0262) loss_rpn_box_reg: 0.0105 (0.0169) loss_da_image: 0.6706 (0.6658) loss_da_instance: 0.6579 (0.6550) loss_da_consistency: 0.0060 (0.0070) time: 0.8291 (0.8359) data: 0.0619 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:22:35,302 maskrcnn_benchmark.trainer INFO: eta: 10:36:55 iter: 24280 loss: 1.4912 (1.5511) loss_classifier: 0.0549 (0.0855) loss_box_reg: 0.0859 (0.0947) loss_objectness: 0.0089 (0.0262) loss_rpn_box_reg: 0.0066 (0.0169) loss_da_image: 0.6638 (0.6658) loss_da_instance: 0.6580 (0.6550) loss_da_consistency: 0.0054 (0.0070) time: 0.8328 (0.8359) data: 0.0622 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:22:51,938 maskrcnn_benchmark.trainer INFO: eta: 10:36:38 iter: 24300 loss: 1.5133 (1.5511) loss_classifier: 0.0663 (0.0855) loss_box_reg: 0.0817 (0.0947) loss_objectness: 0.0160 (0.0262) loss_rpn_box_reg: 0.0095 (0.0169) loss_da_image: 0.6758 (0.6658) loss_da_instance: 0.6695 (0.6550) loss_da_consistency: 0.0055 (0.0070) time: 0.8309 (0.8359) data: 0.0619 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:23:08,603 maskrcnn_benchmark.trainer INFO: eta: 10:36:22 iter: 24320 loss: 1.4710 (1.5511) loss_classifier: 0.0735 (0.0855) loss_box_reg: 0.0464 (0.0946) loss_objectness: 0.0150 (0.0262) loss_rpn_box_reg: 0.0049 (0.0168) loss_da_image: 0.6656 (0.6658) loss_da_instance: 0.6659 (0.6551) loss_da_consistency: 0.0047 (0.0070) time: 0.8328 (0.8359) data: 0.0624 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:23:25,267 maskrcnn_benchmark.trainer INFO: eta: 10:36:05 iter: 24340 loss: 1.4872 (1.5511) loss_classifier: 0.0430 (0.0855) loss_box_reg: 0.0501 (0.0946) loss_objectness: 0.0078 (0.0262) loss_rpn_box_reg: 0.0065 (0.0168) loss_da_image: 0.6836 (0.6659) loss_da_instance: 0.6644 (0.6551) loss_da_consistency: 0.0052 (0.0070) time: 0.8327 (0.8359) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:23:41,946 maskrcnn_benchmark.trainer INFO: eta: 10:35:48 iter: 24360 loss: 1.4979 (1.5510) loss_classifier: 0.0574 (0.0854) loss_box_reg: 0.0665 (0.0946) loss_objectness: 0.0092 (0.0262) loss_rpn_box_reg: 0.0104 (0.0168) loss_da_image: 0.6752 (0.6659) loss_da_instance: 0.6460 (0.6551) loss_da_consistency: 0.0057 (0.0070) time: 0.8338 (0.8359) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:23:58,625 maskrcnn_benchmark.trainer INFO: eta: 10:35:31 iter: 24380 loss: 1.4739 (1.5510) loss_classifier: 0.0560 (0.0854) loss_box_reg: 0.0470 (0.0946) loss_objectness: 0.0132 (0.0262) loss_rpn_box_reg: 0.0074 (0.0168) loss_da_image: 0.6756 (0.6659) loss_da_instance: 0.6515 (0.6551) loss_da_consistency: 0.0058 (0.0070) time: 0.8328 (0.8359) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:24:15,202 maskrcnn_benchmark.trainer INFO: eta: 10:35:14 iter: 24400 loss: 1.5062 (1.5510) loss_classifier: 0.0586 (0.0854) loss_box_reg: 0.0796 (0.0946) loss_objectness: 0.0076 (0.0262) loss_rpn_box_reg: 0.0091 (0.0168) loss_da_image: 0.6791 (0.6659) loss_da_instance: 0.6498 (0.6551) loss_da_consistency: 0.0062 (0.0070) time: 0.8298 (0.8358) data: 0.0620 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:24:31,822 maskrcnn_benchmark.trainer INFO: eta: 10:34:57 iter: 24420 loss: 1.4952 (1.5509) loss_classifier: 0.0573 (0.0854) loss_box_reg: 0.0667 (0.0946) loss_objectness: 0.0124 (0.0262) loss_rpn_box_reg: 0.0058 (0.0168) loss_da_image: 0.6767 (0.6659) loss_da_instance: 0.6534 (0.6551) loss_da_consistency: 0.0061 (0.0070) time: 0.8316 (0.8358) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:24:48,406 maskrcnn_benchmark.trainer INFO: eta: 10:34:40 iter: 24440 loss: 1.4990 (1.5509) loss_classifier: 0.0508 (0.0854) loss_box_reg: 0.0821 (0.0946) loss_objectness: 0.0133 (0.0261) loss_rpn_box_reg: 0.0091 (0.0168) loss_da_image: 0.6737 (0.6659) loss_da_instance: 0.6596 (0.6551) loss_da_consistency: 0.0065 (0.0070) time: 0.8281 (0.8358) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:25:04,970 maskrcnn_benchmark.trainer INFO: eta: 10:34:23 iter: 24460 loss: 1.5004 (1.5509) loss_classifier: 0.0617 (0.0853) loss_box_reg: 0.0577 (0.0945) loss_objectness: 0.0095 (0.0261) loss_rpn_box_reg: 0.0081 (0.0168) loss_da_image: 0.6706 (0.6659) loss_da_instance: 0.6632 (0.6551) loss_da_consistency: 0.0060 (0.0070) time: 0.8268 (0.8358) data: 0.0661 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:25:21,571 maskrcnn_benchmark.trainer INFO: eta: 10:34:06 iter: 24480 loss: 1.4790 (1.5508) loss_classifier: 0.0514 (0.0853) loss_box_reg: 0.0610 (0.0945) loss_objectness: 0.0107 (0.0261) loss_rpn_box_reg: 0.0095 (0.0168) loss_da_image: 0.6706 (0.6659) loss_da_instance: 0.6604 (0.6551) loss_da_consistency: 0.0062 (0.0070) time: 0.8300 (0.8358) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:25:38,195 maskrcnn_benchmark.trainer INFO: eta: 10:33:50 iter: 24500 loss: 1.5601 (1.5508) loss_classifier: 0.0734 (0.0853) loss_box_reg: 0.0843 (0.0945) loss_objectness: 0.0134 (0.0261) loss_rpn_box_reg: 0.0183 (0.0168) loss_da_image: 0.6767 (0.6659) loss_da_instance: 0.6596 (0.6551) loss_da_consistency: 0.0064 (0.0070) time: 0.8305 (0.8358) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:25:54,810 maskrcnn_benchmark.trainer INFO: eta: 10:33:33 iter: 24520 loss: 1.4758 (1.5508) loss_classifier: 0.0645 (0.0853) loss_box_reg: 0.0629 (0.0945) loss_objectness: 0.0108 (0.0261) loss_rpn_box_reg: 0.0099 (0.0168) loss_da_image: 0.6631 (0.6659) loss_da_instance: 0.6500 (0.6551) loss_da_consistency: 0.0073 (0.0070) time: 0.8296 (0.8358) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:26:11,455 maskrcnn_benchmark.trainer INFO: eta: 10:33:16 iter: 24540 loss: 1.4804 (1.5508) loss_classifier: 0.0591 (0.0853) loss_box_reg: 0.0552 (0.0945) loss_objectness: 0.0130 (0.0261) loss_rpn_box_reg: 0.0088 (0.0168) loss_da_image: 0.6643 (0.6659) loss_da_instance: 0.6552 (0.6551) loss_da_consistency: 0.0070 (0.0070) time: 0.8312 (0.8358) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:26:28,157 maskrcnn_benchmark.trainer INFO: eta: 10:32:59 iter: 24560 loss: 1.4858 (1.5507) loss_classifier: 0.0523 (0.0853) loss_box_reg: 0.0547 (0.0945) loss_objectness: 0.0092 (0.0261) loss_rpn_box_reg: 0.0061 (0.0168) loss_da_image: 0.6603 (0.6659) loss_da_instance: 0.6659 (0.6551) loss_da_consistency: 0.0061 (0.0070) time: 0.8341 (0.8358) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:26:44,774 maskrcnn_benchmark.trainer INFO: eta: 10:32:42 iter: 24580 loss: 1.5267 (1.5507) loss_classifier: 0.0584 (0.0853) loss_box_reg: 0.0938 (0.0945) loss_objectness: 0.0119 (0.0261) loss_rpn_box_reg: 0.0138 (0.0168) loss_da_image: 0.6711 (0.6659) loss_da_instance: 0.6604 (0.6551) loss_da_consistency: 0.0060 (0.0070) time: 0.8313 (0.8358) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:27:01,407 maskrcnn_benchmark.trainer INFO: eta: 10:32:25 iter: 24600 loss: 1.5160 (1.5507) loss_classifier: 0.0554 (0.0853) loss_box_reg: 0.0546 (0.0944) loss_objectness: 0.0122 (0.0261) loss_rpn_box_reg: 0.0094 (0.0168) loss_da_image: 0.6705 (0.6659) loss_da_instance: 0.6653 (0.6551) loss_da_consistency: 0.0065 (0.0070) time: 0.8318 (0.8358) data: 0.0618 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:27:18,050 maskrcnn_benchmark.trainer INFO: eta: 10:32:08 iter: 24620 loss: 1.5104 (1.5507) loss_classifier: 0.0639 (0.0852) loss_box_reg: 0.0726 (0.0944) loss_objectness: 0.0119 (0.0261) loss_rpn_box_reg: 0.0177 (0.0168) loss_da_image: 0.6678 (0.6659) loss_da_instance: 0.6423 (0.6551) loss_da_consistency: 0.0066 (0.0070) time: 0.8320 (0.8358) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:27:34,634 maskrcnn_benchmark.trainer INFO: eta: 10:31:51 iter: 24640 loss: 1.4943 (1.5506) loss_classifier: 0.0516 (0.0852) loss_box_reg: 0.0639 (0.0944) loss_objectness: 0.0077 (0.0261) loss_rpn_box_reg: 0.0062 (0.0168) loss_da_image: 0.6752 (0.6659) loss_da_instance: 0.6628 (0.6551) loss_da_consistency: 0.0055 (0.0070) time: 0.8289 (0.8358) data: 0.0616 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:27:51,248 maskrcnn_benchmark.trainer INFO: eta: 10:31:35 iter: 24660 loss: 1.5358 (1.5506) loss_classifier: 0.0682 (0.0852) loss_box_reg: 0.0670 (0.0944) loss_objectness: 0.0155 (0.0261) loss_rpn_box_reg: 0.0092 (0.0168) loss_da_image: 0.6716 (0.6659) loss_da_instance: 0.6656 (0.6551) loss_da_consistency: 0.0056 (0.0070) time: 0.8316 (0.8358) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:28:07,837 maskrcnn_benchmark.trainer INFO: eta: 10:31:18 iter: 24680 loss: 1.5142 (1.5506) loss_classifier: 0.0638 (0.0852) loss_box_reg: 0.0519 (0.0944) loss_objectness: 0.0087 (0.0261) loss_rpn_box_reg: 0.0094 (0.0168) loss_da_image: 0.6788 (0.6660) loss_da_instance: 0.6651 (0.6551) loss_da_consistency: 0.0050 (0.0070) time: 0.8283 (0.8358) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:28:24,467 maskrcnn_benchmark.trainer INFO: eta: 10:31:01 iter: 24700 loss: 1.5040 (1.5506) loss_classifier: 0.0631 (0.0852) loss_box_reg: 0.0703 (0.0944) loss_objectness: 0.0094 (0.0261) loss_rpn_box_reg: 0.0092 (0.0168) loss_da_image: 0.6635 (0.6660) loss_da_instance: 0.6626 (0.6552) loss_da_consistency: 0.0054 (0.0070) time: 0.8308 (0.8358) data: 0.0615 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:28:41,107 maskrcnn_benchmark.trainer INFO: eta: 10:30:44 iter: 24720 loss: 1.5118 (1.5505) loss_classifier: 0.0643 (0.0852) loss_box_reg: 0.0772 (0.0944) loss_objectness: 0.0085 (0.0261) loss_rpn_box_reg: 0.0106 (0.0168) loss_da_image: 0.6727 (0.6660) loss_da_instance: 0.6660 (0.6552) loss_da_consistency: 0.0046 (0.0070) time: 0.8316 (0.8358) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:28:57,765 maskrcnn_benchmark.trainer INFO: eta: 10:30:27 iter: 24740 loss: 1.4813 (1.5505) loss_classifier: 0.0551 (0.0852) loss_box_reg: 0.0630 (0.0944) loss_objectness: 0.0100 (0.0260) loss_rpn_box_reg: 0.0085 (0.0168) loss_da_image: 0.6739 (0.6660) loss_da_instance: 0.6652 (0.6552) loss_da_consistency: 0.0051 (0.0070) time: 0.8299 (0.8358) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:29:14,393 maskrcnn_benchmark.trainer INFO: eta: 10:30:10 iter: 24760 loss: 1.5001 (1.5505) loss_classifier: 0.0602 (0.0851) loss_box_reg: 0.0708 (0.0943) loss_objectness: 0.0105 (0.0260) loss_rpn_box_reg: 0.0051 (0.0168) loss_da_image: 0.6784 (0.6660) loss_da_instance: 0.6554 (0.6552) loss_da_consistency: 0.0051 (0.0070) time: 0.8309 (0.8358) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:29:31,046 maskrcnn_benchmark.trainer INFO: eta: 10:29:53 iter: 24780 loss: 1.5484 (1.5505) loss_classifier: 0.0661 (0.0851) loss_box_reg: 0.1082 (0.0944) loss_objectness: 0.0137 (0.0260) loss_rpn_box_reg: 0.0102 (0.0168) loss_da_image: 0.6718 (0.6660) loss_da_instance: 0.6588 (0.6552) loss_da_consistency: 0.0057 (0.0070) time: 0.8321 (0.8358) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:29:47,667 maskrcnn_benchmark.trainer INFO: eta: 10:29:36 iter: 24800 loss: 1.5382 (1.5505) loss_classifier: 0.0609 (0.0851) loss_box_reg: 0.0916 (0.0944) loss_objectness: 0.0092 (0.0260) loss_rpn_box_reg: 0.0092 (0.0168) loss_da_image: 0.6736 (0.6660) loss_da_instance: 0.6485 (0.6552) loss_da_consistency: 0.0062 (0.0070) time: 0.8307 (0.8358) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:30:04,306 maskrcnn_benchmark.trainer INFO: eta: 10:29:20 iter: 24820 loss: 1.5193 (1.5504) loss_classifier: 0.0699 (0.0851) loss_box_reg: 0.1028 (0.0944) loss_objectness: 0.0148 (0.0260) loss_rpn_box_reg: 0.0087 (0.0168) loss_da_image: 0.6794 (0.6660) loss_da_instance: 0.6579 (0.6552) loss_da_consistency: 0.0058 (0.0070) time: 0.8312 (0.8358) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:30:20,965 maskrcnn_benchmark.trainer INFO: eta: 10:29:03 iter: 24840 loss: 1.5113 (1.5504) loss_classifier: 0.0685 (0.0851) loss_box_reg: 0.0825 (0.0943) loss_objectness: 0.0091 (0.0260) loss_rpn_box_reg: 0.0104 (0.0168) loss_da_image: 0.6658 (0.6660) loss_da_instance: 0.6560 (0.6552) loss_da_consistency: 0.0061 (0.0070) time: 0.8338 (0.8358) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:30:37,625 maskrcnn_benchmark.trainer INFO: eta: 10:28:46 iter: 24860 loss: 1.4584 (1.5504) loss_classifier: 0.0461 (0.0851) loss_box_reg: 0.0584 (0.0943) loss_objectness: 0.0087 (0.0260) loss_rpn_box_reg: 0.0076 (0.0168) loss_da_image: 0.6741 (0.6660) loss_da_instance: 0.6632 (0.6552) loss_da_consistency: 0.0070 (0.0070) time: 0.8318 (0.8358) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:30:54,290 maskrcnn_benchmark.trainer INFO: eta: 10:28:29 iter: 24880 loss: 1.4726 (1.5503) loss_classifier: 0.0514 (0.0851) loss_box_reg: 0.0487 (0.0943) loss_objectness: 0.0048 (0.0260) loss_rpn_box_reg: 0.0046 (0.0168) loss_da_image: 0.6629 (0.6660) loss_da_instance: 0.6708 (0.6552) loss_da_consistency: 0.0059 (0.0070) time: 0.8326 (0.8358) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:31:10,956 maskrcnn_benchmark.trainer INFO: eta: 10:28:12 iter: 24900 loss: 1.4937 (1.5503) loss_classifier: 0.0717 (0.0850) loss_box_reg: 0.0686 (0.0943) loss_objectness: 0.0206 (0.0260) loss_rpn_box_reg: 0.0096 (0.0168) loss_da_image: 0.6771 (0.6660) loss_da_instance: 0.6626 (0.6552) loss_da_consistency: 0.0080 (0.0070) time: 0.8338 (0.8358) data: 0.0619 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:31:27,626 maskrcnn_benchmark.trainer INFO: eta: 10:27:56 iter: 24920 loss: 1.5387 (1.5503) loss_classifier: 0.0691 (0.0850) loss_box_reg: 0.0525 (0.0943) loss_objectness: 0.0197 (0.0260) loss_rpn_box_reg: 0.0112 (0.0168) loss_da_image: 0.6773 (0.6660) loss_da_instance: 0.6653 (0.6552) loss_da_consistency: 0.0057 (0.0070) time: 0.8333 (0.8358) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:31:44,259 maskrcnn_benchmark.trainer INFO: eta: 10:27:39 iter: 24940 loss: 1.4927 (1.5503) loss_classifier: 0.0479 (0.0850) loss_box_reg: 0.0702 (0.0943) loss_objectness: 0.0077 (0.0260) loss_rpn_box_reg: 0.0104 (0.0168) loss_da_image: 0.6734 (0.6660) loss_da_instance: 0.6638 (0.6552) loss_da_consistency: 0.0049 (0.0070) time: 0.8312 (0.8358) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:32:00,956 maskrcnn_benchmark.trainer INFO: eta: 10:27:22 iter: 24960 loss: 1.5463 (1.5503) loss_classifier: 0.0815 (0.0850) loss_box_reg: 0.0756 (0.0943) loss_objectness: 0.0175 (0.0260) loss_rpn_box_reg: 0.0190 (0.0168) loss_da_image: 0.6752 (0.6660) loss_da_instance: 0.6571 (0.6552) loss_da_consistency: 0.0052 (0.0070) time: 0.8355 (0.8358) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:32:17,629 maskrcnn_benchmark.trainer INFO: eta: 10:27:05 iter: 24980 loss: 1.4413 (1.5502) loss_classifier: 0.0441 (0.0850) loss_box_reg: 0.0477 (0.0942) loss_objectness: 0.0109 (0.0260) loss_rpn_box_reg: 0.0084 (0.0168) loss_da_image: 0.6633 (0.6660) loss_da_instance: 0.6477 (0.6552) loss_da_consistency: 0.0058 (0.0070) time: 0.8332 (0.8358) data: 0.0650 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:32:34,374 maskrcnn_benchmark.trainer INFO: eta: 10:26:49 iter: 25000 loss: 1.4828 (1.5502) loss_classifier: 0.0538 (0.0850) loss_box_reg: 0.0509 (0.0942) loss_objectness: 0.0095 (0.0260) loss_rpn_box_reg: 0.0080 (0.0168) loss_da_image: 0.6807 (0.6660) loss_da_instance: 0.6666 (0.6552) loss_da_consistency: 0.0060 (0.0070) time: 0.8371 (0.8358) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:32:34,376 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0025000.pth
2019-10-25 19:32:51,286 maskrcnn_benchmark.trainer INFO: eta: 10:26:32 iter: 25020 loss: 1.4520 (1.5502) loss_classifier: 0.0259 (0.0850) loss_box_reg: 0.0269 (0.0942) loss_objectness: 0.0063 (0.0259) loss_rpn_box_reg: 0.0037 (0.0167) loss_da_image: 0.6781 (0.6661) loss_da_instance: 0.6755 (0.6553) loss_da_consistency: 0.0040 (0.0070) time: 0.8356 (0.8358) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:33:08,031 maskrcnn_benchmark.trainer INFO: eta: 10:26:16 iter: 25040 loss: 1.4768 (1.5501) loss_classifier: 0.0461 (0.0850) loss_box_reg: 0.0716 (0.0942) loss_objectness: 0.0092 (0.0259) loss_rpn_box_reg: 0.0068 (0.0167) loss_da_image: 0.6754 (0.6661) loss_da_instance: 0.6680 (0.6553) loss_da_consistency: 0.0045 (0.0070) time: 0.8366 (0.8358) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:33:24,723 maskrcnn_benchmark.trainer INFO: eta: 10:25:59 iter: 25060 loss: 1.4690 (1.5501) loss_classifier: 0.0401 (0.0849) loss_box_reg: 0.0570 (0.0942) loss_objectness: 0.0072 (0.0259) loss_rpn_box_reg: 0.0046 (0.0167) loss_da_image: 0.6705 (0.6661) loss_da_instance: 0.6698 (0.6553) loss_da_consistency: 0.0053 (0.0070) time: 0.8346 (0.8358) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:33:41,442 maskrcnn_benchmark.trainer INFO: eta: 10:25:42 iter: 25080 loss: 1.5171 (1.5501) loss_classifier: 0.0786 (0.0849) loss_box_reg: 0.0719 (0.0942) loss_objectness: 0.0129 (0.0259) loss_rpn_box_reg: 0.0106 (0.0167) loss_da_image: 0.6741 (0.6661) loss_da_instance: 0.6575 (0.6553) loss_da_consistency: 0.0054 (0.0070) time: 0.8361 (0.8358) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:33:58,138 maskrcnn_benchmark.trainer INFO: eta: 10:25:25 iter: 25100 loss: 1.4543 (1.5500) loss_classifier: 0.0483 (0.0849) loss_box_reg: 0.0594 (0.0941) loss_objectness: 0.0121 (0.0259) loss_rpn_box_reg: 0.0053 (0.0167) loss_da_image: 0.6787 (0.6661) loss_da_instance: 0.6568 (0.6553) loss_da_consistency: 0.0052 (0.0070) time: 0.8336 (0.8358) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:34:14,818 maskrcnn_benchmark.trainer INFO: eta: 10:25:09 iter: 25120 loss: 1.5046 (1.5500) loss_classifier: 0.0563 (0.0849) loss_box_reg: 0.0839 (0.0941) loss_objectness: 0.0100 (0.0259) loss_rpn_box_reg: 0.0094 (0.0167) loss_da_image: 0.6787 (0.6661) loss_da_instance: 0.6555 (0.6553) loss_da_consistency: 0.0057 (0.0070) time: 0.8346 (0.8358) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:34:31,517 maskrcnn_benchmark.trainer INFO: eta: 10:24:52 iter: 25140 loss: 1.4868 (1.5500) loss_classifier: 0.0635 (0.0849) loss_box_reg: 0.0755 (0.0941) loss_objectness: 0.0145 (0.0259) loss_rpn_box_reg: 0.0074 (0.0167) loss_da_image: 0.6768 (0.6661) loss_da_instance: 0.6551 (0.6553) loss_da_consistency: 0.0062 (0.0070) time: 0.8353 (0.8358) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:34:48,200 maskrcnn_benchmark.trainer INFO: eta: 10:24:35 iter: 25160 loss: 1.4961 (1.5499) loss_classifier: 0.0488 (0.0849) loss_box_reg: 0.0703 (0.0941) loss_objectness: 0.0124 (0.0259) loss_rpn_box_reg: 0.0086 (0.0167) loss_da_image: 0.6735 (0.6661) loss_da_instance: 0.6560 (0.6553) loss_da_consistency: 0.0064 (0.0070) time: 0.8334 (0.8358) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:35:04,821 maskrcnn_benchmark.trainer INFO: eta: 10:24:18 iter: 25180 loss: 1.5001 (1.5499) loss_classifier: 0.0563 (0.0848) loss_box_reg: 0.0613 (0.0941) loss_objectness: 0.0119 (0.0259) loss_rpn_box_reg: 0.0087 (0.0167) loss_da_image: 0.6765 (0.6661) loss_da_instance: 0.6627 (0.6553) loss_da_consistency: 0.0058 (0.0070) time: 0.8303 (0.8358) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:35:21,415 maskrcnn_benchmark.trainer INFO: eta: 10:24:01 iter: 25200 loss: 1.5004 (1.5499) loss_classifier: 0.0526 (0.0848) loss_box_reg: 0.0749 (0.0941) loss_objectness: 0.0154 (0.0259) loss_rpn_box_reg: 0.0064 (0.0167) loss_da_image: 0.6674 (0.6661) loss_da_instance: 0.6582 (0.6553) loss_da_consistency: 0.0062 (0.0070) time: 0.8293 (0.8358) data: 0.0679 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:35:37,997 maskrcnn_benchmark.trainer INFO: eta: 10:23:44 iter: 25220 loss: 1.5009 (1.5499) loss_classifier: 0.0557 (0.0848) loss_box_reg: 0.0671 (0.0941) loss_objectness: 0.0105 (0.0259) loss_rpn_box_reg: 0.0120 (0.0167) loss_da_image: 0.6636 (0.6661) loss_da_instance: 0.6489 (0.6553) loss_da_consistency: 0.0063 (0.0070) time: 0.8290 (0.8357) data: 0.0680 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:35:54,605 maskrcnn_benchmark.trainer INFO: eta: 10:23:27 iter: 25240 loss: 1.4600 (1.5498) loss_classifier: 0.0379 (0.0848) loss_box_reg: 0.0605 (0.0941) loss_objectness: 0.0040 (0.0259) loss_rpn_box_reg: 0.0048 (0.0167) loss_da_image: 0.6615 (0.6661) loss_da_instance: 0.6724 (0.6553) loss_da_consistency: 0.0065 (0.0070) time: 0.8276 (0.8357) data: 0.0667 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:36:11,306 maskrcnn_benchmark.trainer INFO: eta: 10:23:11 iter: 25260 loss: 1.4581 (1.5498) loss_classifier: 0.0556 (0.0848) loss_box_reg: 0.0606 (0.0940) loss_objectness: 0.0095 (0.0258) loss_rpn_box_reg: 0.0042 (0.0167) loss_da_image: 0.6662 (0.6661) loss_da_instance: 0.6556 (0.6553) loss_da_consistency: 0.0065 (0.0070) time: 0.8341 (0.8357) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:36:28,001 maskrcnn_benchmark.trainer INFO: eta: 10:22:54 iter: 25280 loss: 1.5203 (1.5498) loss_classifier: 0.0790 (0.0848) loss_box_reg: 0.0764 (0.0940) loss_objectness: 0.0158 (0.0258) loss_rpn_box_reg: 0.0079 (0.0167) loss_da_image: 0.6685 (0.6661) loss_da_instance: 0.6589 (0.6553) loss_da_consistency: 0.0072 (0.0070) time: 0.8340 (0.8357) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:36:44,663 maskrcnn_benchmark.trainer INFO: eta: 10:22:37 iter: 25300 loss: 1.4486 (1.5498) loss_classifier: 0.0481 (0.0848) loss_box_reg: 0.0613 (0.0940) loss_objectness: 0.0087 (0.0258) loss_rpn_box_reg: 0.0080 (0.0167) loss_da_image: 0.6604 (0.6661) loss_da_instance: 0.6580 (0.6553) loss_da_consistency: 0.0063 (0.0070) time: 0.8318 (0.8357) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:37:01,358 maskrcnn_benchmark.trainer INFO: eta: 10:22:20 iter: 25320 loss: 1.4350 (1.5497) loss_classifier: 0.0528 (0.0848) loss_box_reg: 0.0330 (0.0940) loss_objectness: 0.0072 (0.0258) loss_rpn_box_reg: 0.0060 (0.0167) loss_da_image: 0.6767 (0.6661) loss_da_instance: 0.6561 (0.6553) loss_da_consistency: 0.0060 (0.0070) time: 0.8327 (0.8357) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:37:18,022 maskrcnn_benchmark.trainer INFO: eta: 10:22:03 iter: 25340 loss: 1.4848 (1.5497) loss_classifier: 0.0509 (0.0847) loss_box_reg: 0.0652 (0.0940) loss_objectness: 0.0098 (0.0258) loss_rpn_box_reg: 0.0090 (0.0167) loss_da_image: 0.6658 (0.6661) loss_da_instance: 0.6651 (0.6554) loss_da_consistency: 0.0047 (0.0070) time: 0.8334 (0.8357) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:37:34,737 maskrcnn_benchmark.trainer INFO: eta: 10:21:47 iter: 25360 loss: 1.4547 (1.5496) loss_classifier: 0.0524 (0.0847) loss_box_reg: 0.0548 (0.0939) loss_objectness: 0.0102 (0.0258) loss_rpn_box_reg: 0.0068 (0.0167) loss_da_image: 0.6722 (0.6661) loss_da_instance: 0.6645 (0.6554) loss_da_consistency: 0.0050 (0.0070) time: 0.8345 (0.8357) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:37:51,371 maskrcnn_benchmark.trainer INFO: eta: 10:21:30 iter: 25380 loss: 1.4989 (1.5496) loss_classifier: 0.0633 (0.0847) loss_box_reg: 0.0543 (0.0939) loss_objectness: 0.0076 (0.0258) loss_rpn_box_reg: 0.0075 (0.0167) loss_da_image: 0.6753 (0.6661) loss_da_instance: 0.6532 (0.6554) loss_da_consistency: 0.0051 (0.0070) time: 0.8308 (0.8357) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:38:08,043 maskrcnn_benchmark.trainer INFO: eta: 10:21:13 iter: 25400 loss: 1.5352 (1.5496) loss_classifier: 0.0651 (0.0847) loss_box_reg: 0.0894 (0.0939) loss_objectness: 0.0131 (0.0258) loss_rpn_box_reg: 0.0086 (0.0167) loss_da_image: 0.6744 (0.6661) loss_da_instance: 0.6647 (0.6554) loss_da_consistency: 0.0066 (0.0070) time: 0.8330 (0.8357) data: 0.0649 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:38:24,986 maskrcnn_benchmark.trainer INFO: eta: 10:20:57 iter: 25420 loss: 1.4918 (1.5496) loss_classifier: 0.0515 (0.0847) loss_box_reg: 0.0619 (0.0939) loss_objectness: 0.0085 (0.0258) loss_rpn_box_reg: 0.0054 (0.0167) loss_da_image: 0.6740 (0.6662) loss_da_instance: 0.6671 (0.6554) loss_da_consistency: 0.0050 (0.0070) time: 0.8331 (0.8357) data: 0.0651 (0.0642) lr: 0.001000 max mem: 4018
2019-10-25 19:38:41,647 maskrcnn_benchmark.trainer INFO: eta: 10:20:40 iter: 25440 loss: 1.4711 (1.5495) loss_classifier: 0.0429 (0.0847) loss_box_reg: 0.0454 (0.0939) loss_objectness: 0.0074 (0.0258) loss_rpn_box_reg: 0.0066 (0.0167) loss_da_image: 0.6741 (0.6662) loss_da_instance: 0.6576 (0.6554) loss_da_consistency: 0.0056 (0.0070) time: 0.8327 (0.8357) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:38:58,331 maskrcnn_benchmark.trainer INFO: eta: 10:20:23 iter: 25460 loss: 1.5368 (1.5495) loss_classifier: 0.0973 (0.0847) loss_box_reg: 0.0960 (0.0939) loss_objectness: 0.0142 (0.0258) loss_rpn_box_reg: 0.0076 (0.0167) loss_da_image: 0.6737 (0.6662) loss_da_instance: 0.6564 (0.6554) loss_da_consistency: 0.0067 (0.0070) time: 0.8326 (0.8357) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:39:15,033 maskrcnn_benchmark.trainer INFO: eta: 10:20:06 iter: 25480 loss: 1.5622 (1.5496) loss_classifier: 0.0830 (0.0847) loss_box_reg: 0.0839 (0.0939) loss_objectness: 0.0127 (0.0258) loss_rpn_box_reg: 0.0139 (0.0167) loss_da_image: 0.6755 (0.6662) loss_da_instance: 0.6585 (0.6554) loss_da_consistency: 0.0060 (0.0070) time: 0.8340 (0.8357) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:39:31,731 maskrcnn_benchmark.trainer INFO: eta: 10:19:50 iter: 25500 loss: 1.4991 (1.5495) loss_classifier: 0.0661 (0.0847) loss_box_reg: 0.0679 (0.0939) loss_objectness: 0.0105 (0.0258) loss_rpn_box_reg: 0.0108 (0.0167) loss_da_image: 0.6774 (0.6662) loss_da_instance: 0.6643 (0.6554) loss_da_consistency: 0.0055 (0.0070) time: 0.8338 (0.8357) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:39:48,424 maskrcnn_benchmark.trainer INFO: eta: 10:19:33 iter: 25520 loss: 1.5021 (1.5495) loss_classifier: 0.0610 (0.0847) loss_box_reg: 0.0459 (0.0938) loss_objectness: 0.0181 (0.0258) loss_rpn_box_reg: 0.0053 (0.0166) loss_da_image: 0.6774 (0.6662) loss_da_instance: 0.6778 (0.6554) loss_da_consistency: 0.0052 (0.0070) time: 0.8347 (0.8357) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:40:05,106 maskrcnn_benchmark.trainer INFO: eta: 10:19:16 iter: 25540 loss: 1.4979 (1.5495) loss_classifier: 0.0503 (0.0846) loss_box_reg: 0.0764 (0.0938) loss_objectness: 0.0100 (0.0257) loss_rpn_box_reg: 0.0079 (0.0166) loss_da_image: 0.6775 (0.6662) loss_da_instance: 0.6571 (0.6554) loss_da_consistency: 0.0056 (0.0070) time: 0.8327 (0.8357) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:40:21,792 maskrcnn_benchmark.trainer INFO: eta: 10:18:59 iter: 25560 loss: 1.5263 (1.5494) loss_classifier: 0.0651 (0.0846) loss_box_reg: 0.0753 (0.0938) loss_objectness: 0.0097 (0.0257) loss_rpn_box_reg: 0.0067 (0.0166) loss_da_image: 0.6812 (0.6662) loss_da_instance: 0.6644 (0.6554) loss_da_consistency: 0.0062 (0.0070) time: 0.8343 (0.8357) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:40:38,486 maskrcnn_benchmark.trainer INFO: eta: 10:18:43 iter: 25580 loss: 1.5134 (1.5494) loss_classifier: 0.0640 (0.0846) loss_box_reg: 0.0876 (0.0938) loss_objectness: 0.0113 (0.0257) loss_rpn_box_reg: 0.0074 (0.0166) loss_da_image: 0.6656 (0.6662) loss_da_instance: 0.6539 (0.6554) loss_da_consistency: 0.0064 (0.0070) time: 0.8347 (0.8357) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:40:55,121 maskrcnn_benchmark.trainer INFO: eta: 10:18:26 iter: 25600 loss: 1.5117 (1.5494) loss_classifier: 0.0521 (0.0846) loss_box_reg: 0.0537 (0.0938) loss_objectness: 0.0094 (0.0257) loss_rpn_box_reg: 0.0108 (0.0166) loss_da_image: 0.6747 (0.6662) loss_da_instance: 0.6633 (0.6554) loss_da_consistency: 0.0058 (0.0070) time: 0.8316 (0.8357) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:41:11,771 maskrcnn_benchmark.trainer INFO: eta: 10:18:09 iter: 25620 loss: 1.4799 (1.5494) loss_classifier: 0.0668 (0.0846) loss_box_reg: 0.0660 (0.0938) loss_objectness: 0.0087 (0.0257) loss_rpn_box_reg: 0.0076 (0.0166) loss_da_image: 0.6742 (0.6662) loss_da_instance: 0.6566 (0.6554) loss_da_consistency: 0.0055 (0.0070) time: 0.8319 (0.8357) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:41:28,457 maskrcnn_benchmark.trainer INFO: eta: 10:17:52 iter: 25640 loss: 1.4654 (1.5493) loss_classifier: 0.0529 (0.0846) loss_box_reg: 0.0426 (0.0938) loss_objectness: 0.0118 (0.0257) loss_rpn_box_reg: 0.0069 (0.0166) loss_da_image: 0.6694 (0.6662) loss_da_instance: 0.6628 (0.6555) loss_da_consistency: 0.0051 (0.0070) time: 0.8354 (0.8357) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:41:45,115 maskrcnn_benchmark.trainer INFO: eta: 10:17:35 iter: 25660 loss: 1.4925 (1.5493) loss_classifier: 0.0603 (0.0846) loss_box_reg: 0.0756 (0.0938) loss_objectness: 0.0128 (0.0257) loss_rpn_box_reg: 0.0073 (0.0166) loss_da_image: 0.6770 (0.6662) loss_da_instance: 0.6476 (0.6555) loss_da_consistency: 0.0062 (0.0070) time: 0.8327 (0.8357) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:42:01,790 maskrcnn_benchmark.trainer INFO: eta: 10:17:19 iter: 25680 loss: 1.4666 (1.5493) loss_classifier: 0.0535 (0.0845) loss_box_reg: 0.0595 (0.0938) loss_objectness: 0.0060 (0.0257) loss_rpn_box_reg: 0.0059 (0.0166) loss_da_image: 0.6809 (0.6662) loss_da_instance: 0.6614 (0.6555) loss_da_consistency: 0.0064 (0.0070) time: 0.8339 (0.8357) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:42:18,493 maskrcnn_benchmark.trainer INFO: eta: 10:17:02 iter: 25700 loss: 1.4921 (1.5493) loss_classifier: 0.0495 (0.0845) loss_box_reg: 0.0667 (0.0937) loss_objectness: 0.0086 (0.0257) loss_rpn_box_reg: 0.0046 (0.0166) loss_da_image: 0.6776 (0.6662) loss_da_instance: 0.6729 (0.6555) loss_da_consistency: 0.0047 (0.0070) time: 0.8345 (0.8357) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:42:35,190 maskrcnn_benchmark.trainer INFO: eta: 10:16:45 iter: 25720 loss: 1.4952 (1.5492) loss_classifier: 0.0682 (0.0845) loss_box_reg: 0.0634 (0.0937) loss_objectness: 0.0083 (0.0257) loss_rpn_box_reg: 0.0086 (0.0166) loss_da_image: 0.6723 (0.6662) loss_da_instance: 0.6556 (0.6555) loss_da_consistency: 0.0053 (0.0070) time: 0.8347 (0.8357) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:42:51,851 maskrcnn_benchmark.trainer INFO: eta: 10:16:28 iter: 25740 loss: 1.4881 (1.5492) loss_classifier: 0.0576 (0.0845) loss_box_reg: 0.0685 (0.0937) loss_objectness: 0.0091 (0.0257) loss_rpn_box_reg: 0.0090 (0.0166) loss_da_image: 0.6660 (0.6663) loss_da_instance: 0.6552 (0.6555) loss_da_consistency: 0.0060 (0.0070) time: 0.8334 (0.8357) data: 0.0647 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:43:08,583 maskrcnn_benchmark.trainer INFO: eta: 10:16:12 iter: 25760 loss: 1.4748 (1.5491) loss_classifier: 0.0569 (0.0845) loss_box_reg: 0.0710 (0.0937) loss_objectness: 0.0129 (0.0256) loss_rpn_box_reg: 0.0071 (0.0166) loss_da_image: 0.6651 (0.6662) loss_da_instance: 0.6506 (0.6555) loss_da_consistency: 0.0062 (0.0070) time: 0.8366 (0.8357) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:43:25,318 maskrcnn_benchmark.trainer INFO: eta: 10:15:55 iter: 25780 loss: 1.4841 (1.5491) loss_classifier: 0.0380 (0.0845) loss_box_reg: 0.0814 (0.0937) loss_objectness: 0.0083 (0.0256) loss_rpn_box_reg: 0.0082 (0.0166) loss_da_image: 0.6621 (0.6662) loss_da_instance: 0.6620 (0.6555) loss_da_consistency: 0.0066 (0.0070) time: 0.8369 (0.8357) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:43:42,081 maskrcnn_benchmark.trainer INFO: eta: 10:15:38 iter: 25800 loss: 1.5345 (1.5491) loss_classifier: 0.0804 (0.0845) loss_box_reg: 0.0905 (0.0937) loss_objectness: 0.0135 (0.0256) loss_rpn_box_reg: 0.0161 (0.0166) loss_da_image: 0.6799 (0.6663) loss_da_instance: 0.6523 (0.6555) loss_da_consistency: 0.0055 (0.0070) time: 0.8371 (0.8357) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:43:58,803 maskrcnn_benchmark.trainer INFO: eta: 10:15:22 iter: 25820 loss: 1.5256 (1.5491) loss_classifier: 0.0646 (0.0845) loss_box_reg: 0.0639 (0.0937) loss_objectness: 0.0140 (0.0256) loss_rpn_box_reg: 0.0148 (0.0166) loss_da_image: 0.6814 (0.6663) loss_da_instance: 0.6503 (0.6555) loss_da_consistency: 0.0072 (0.0070) time: 0.8364 (0.8357) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:44:15,513 maskrcnn_benchmark.trainer INFO: eta: 10:15:05 iter: 25840 loss: 1.4594 (1.5490) loss_classifier: 0.0363 (0.0845) loss_box_reg: 0.0505 (0.0936) loss_objectness: 0.0091 (0.0256) loss_rpn_box_reg: 0.0081 (0.0166) loss_da_image: 0.6745 (0.6663) loss_da_instance: 0.6650 (0.6555) loss_da_consistency: 0.0053 (0.0070) time: 0.8352 (0.8357) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:44:32,208 maskrcnn_benchmark.trainer INFO: eta: 10:14:48 iter: 25860 loss: 1.4578 (1.5490) loss_classifier: 0.0571 (0.0844) loss_box_reg: 0.0455 (0.0936) loss_objectness: 0.0115 (0.0256) loss_rpn_box_reg: 0.0057 (0.0166) loss_da_image: 0.6749 (0.6663) loss_da_instance: 0.6661 (0.6555) loss_da_consistency: 0.0050 (0.0070) time: 0.8353 (0.8357) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:44:48,935 maskrcnn_benchmark.trainer INFO: eta: 10:14:32 iter: 25880 loss: 1.5188 (1.5490) loss_classifier: 0.0648 (0.0844) loss_box_reg: 0.0777 (0.0936) loss_objectness: 0.0115 (0.0256) loss_rpn_box_reg: 0.0125 (0.0166) loss_da_image: 0.6760 (0.6663) loss_da_instance: 0.6656 (0.6555) loss_da_consistency: 0.0062 (0.0070) time: 0.8364 (0.8357) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:45:05,622 maskrcnn_benchmark.trainer INFO: eta: 10:14:15 iter: 25900 loss: 1.4496 (1.5490) loss_classifier: 0.0518 (0.0844) loss_box_reg: 0.0642 (0.0936) loss_objectness: 0.0101 (0.0256) loss_rpn_box_reg: 0.0040 (0.0166) loss_da_image: 0.6653 (0.6663) loss_da_instance: 0.6608 (0.6555) loss_da_consistency: 0.0061 (0.0070) time: 0.8358 (0.8357) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:45:22,354 maskrcnn_benchmark.trainer INFO: eta: 10:13:58 iter: 25920 loss: 1.5218 (1.5490) loss_classifier: 0.0590 (0.0844) loss_box_reg: 0.0829 (0.0936) loss_objectness: 0.0087 (0.0256) loss_rpn_box_reg: 0.0084 (0.0166) loss_da_image: 0.6744 (0.6663) loss_da_instance: 0.6746 (0.6555) loss_da_consistency: 0.0055 (0.0070) time: 0.8377 (0.8357) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:45:38,991 maskrcnn_benchmark.trainer INFO: eta: 10:13:41 iter: 25940 loss: 1.4466 (1.5489) loss_classifier: 0.0430 (0.0844) loss_box_reg: 0.0400 (0.0935) loss_objectness: 0.0113 (0.0256) loss_rpn_box_reg: 0.0087 (0.0166) loss_da_image: 0.6737 (0.6663) loss_da_instance: 0.6643 (0.6555) loss_da_consistency: 0.0049 (0.0070) time: 0.8311 (0.8357) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:45:55,668 maskrcnn_benchmark.trainer INFO: eta: 10:13:24 iter: 25960 loss: 1.5174 (1.5489) loss_classifier: 0.0677 (0.0844) loss_box_reg: 0.0885 (0.0935) loss_objectness: 0.0127 (0.0256) loss_rpn_box_reg: 0.0130 (0.0166) loss_da_image: 0.6715 (0.6663) loss_da_instance: 0.6562 (0.6555) loss_da_consistency: 0.0055 (0.0070) time: 0.8322 (0.8357) data: 0.0652 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:46:12,226 maskrcnn_benchmark.trainer INFO: eta: 10:13:07 iter: 25980 loss: 1.5239 (1.5489) loss_classifier: 0.0665 (0.0844) loss_box_reg: 0.0797 (0.0935) loss_objectness: 0.0147 (0.0256) loss_rpn_box_reg: 0.0105 (0.0166) loss_da_image: 0.6756 (0.6663) loss_da_instance: 0.6556 (0.6556) loss_da_consistency: 0.0052 (0.0070) time: 0.8282 (0.8357) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:46:28,859 maskrcnn_benchmark.trainer INFO: eta: 10:12:51 iter: 26000 loss: 1.4907 (1.5488) loss_classifier: 0.0582 (0.0843) loss_box_reg: 0.0578 (0.0935) loss_objectness: 0.0091 (0.0256) loss_rpn_box_reg: 0.0092 (0.0166) loss_da_image: 0.6726 (0.6663) loss_da_instance: 0.6567 (0.6556) loss_da_consistency: 0.0056 (0.0070) time: 0.8295 (0.8357) data: 0.0622 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:46:45,495 maskrcnn_benchmark.trainer INFO: eta: 10:12:34 iter: 26020 loss: 1.5072 (1.5488) loss_classifier: 0.0645 (0.0843) loss_box_reg: 0.0687 (0.0935) loss_objectness: 0.0183 (0.0256) loss_rpn_box_reg: 0.0127 (0.0166) loss_da_image: 0.6737 (0.6663) loss_da_instance: 0.6636 (0.6556) loss_da_consistency: 0.0051 (0.0070) time: 0.8319 (0.8357) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:47:02,170 maskrcnn_benchmark.trainer INFO: eta: 10:12:17 iter: 26040 loss: 1.5378 (1.5488) loss_classifier: 0.0728 (0.0843) loss_box_reg: 0.0910 (0.0935) loss_objectness: 0.0103 (0.0256) loss_rpn_box_reg: 0.0099 (0.0166) loss_da_image: 0.6730 (0.6663) loss_da_instance: 0.6674 (0.6556) loss_da_consistency: 0.0057 (0.0070) time: 0.8334 (0.8357) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:47:18,844 maskrcnn_benchmark.trainer INFO: eta: 10:12:00 iter: 26060 loss: 1.5004 (1.5488) loss_classifier: 0.0681 (0.0843) loss_box_reg: 0.0688 (0.0935) loss_objectness: 0.0104 (0.0256) loss_rpn_box_reg: 0.0089 (0.0166) loss_da_image: 0.6781 (0.6663) loss_da_instance: 0.6596 (0.6556) loss_da_consistency: 0.0055 (0.0070) time: 0.8331 (0.8357) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:47:35,532 maskrcnn_benchmark.trainer INFO: eta: 10:11:43 iter: 26080 loss: 1.4656 (1.5488) loss_classifier: 0.0402 (0.0843) loss_box_reg: 0.0552 (0.0935) loss_objectness: 0.0072 (0.0255) loss_rpn_box_reg: 0.0067 (0.0166) loss_da_image: 0.6758 (0.6664) loss_da_instance: 0.6592 (0.6556) loss_da_consistency: 0.0058 (0.0069) time: 0.8324 (0.8357) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:47:52,216 maskrcnn_benchmark.trainer INFO: eta: 10:11:27 iter: 26100 loss: 1.4901 (1.5487) loss_classifier: 0.0667 (0.0843) loss_box_reg: 0.0602 (0.0935) loss_objectness: 0.0199 (0.0255) loss_rpn_box_reg: 0.0112 (0.0166) loss_da_image: 0.6611 (0.6664) loss_da_instance: 0.6462 (0.6556) loss_da_consistency: 0.0066 (0.0069) time: 0.8335 (0.8357) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:48:08,868 maskrcnn_benchmark.trainer INFO: eta: 10:11:10 iter: 26120 loss: 1.4724 (1.5487) loss_classifier: 0.0534 (0.0843) loss_box_reg: 0.0504 (0.0934) loss_objectness: 0.0089 (0.0255) loss_rpn_box_reg: 0.0028 (0.0166) loss_da_image: 0.6794 (0.6664) loss_da_instance: 0.6792 (0.6556) loss_da_consistency: 0.0058 (0.0069) time: 0.8315 (0.8357) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:48:25,523 maskrcnn_benchmark.trainer INFO: eta: 10:10:53 iter: 26140 loss: 1.5418 (1.5487) loss_classifier: 0.0727 (0.0843) loss_box_reg: 0.0923 (0.0934) loss_objectness: 0.0165 (0.0255) loss_rpn_box_reg: 0.0102 (0.0166) loss_da_image: 0.6665 (0.6664) loss_da_instance: 0.6590 (0.6556) loss_da_consistency: 0.0057 (0.0069) time: 0.8320 (0.8357) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:48:42,194 maskrcnn_benchmark.trainer INFO: eta: 10:10:36 iter: 26160 loss: 1.4959 (1.5487) loss_classifier: 0.0564 (0.0842) loss_box_reg: 0.0597 (0.0934) loss_objectness: 0.0078 (0.0255) loss_rpn_box_reg: 0.0084 (0.0166) loss_da_image: 0.6697 (0.6664) loss_da_instance: 0.6586 (0.6556) loss_da_consistency: 0.0055 (0.0069) time: 0.8332 (0.8357) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:48:58,818 maskrcnn_benchmark.trainer INFO: eta: 10:10:19 iter: 26180 loss: 1.4824 (1.5486) loss_classifier: 0.0584 (0.0842) loss_box_reg: 0.0637 (0.0934) loss_objectness: 0.0069 (0.0255) loss_rpn_box_reg: 0.0063 (0.0166) loss_da_image: 0.6603 (0.6664) loss_da_instance: 0.6690 (0.6556) loss_da_consistency: 0.0051 (0.0069) time: 0.8297 (0.8357) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:49:15,447 maskrcnn_benchmark.trainer INFO: eta: 10:10:03 iter: 26200 loss: 1.4684 (1.5486) loss_classifier: 0.0516 (0.0842) loss_box_reg: 0.0751 (0.0934) loss_objectness: 0.0100 (0.0255) loss_rpn_box_reg: 0.0084 (0.0166) loss_da_image: 0.6706 (0.6664) loss_da_instance: 0.6497 (0.6556) loss_da_consistency: 0.0060 (0.0069) time: 0.8312 (0.8357) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:49:32,085 maskrcnn_benchmark.trainer INFO: eta: 10:09:46 iter: 26220 loss: 1.5379 (1.5486) loss_classifier: 0.0911 (0.0842) loss_box_reg: 0.0881 (0.0934) loss_objectness: 0.0136 (0.0255) loss_rpn_box_reg: 0.0085 (0.0166) loss_da_image: 0.6758 (0.6664) loss_da_instance: 0.6613 (0.6556) loss_da_consistency: 0.0064 (0.0069) time: 0.8315 (0.8357) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:49:48,709 maskrcnn_benchmark.trainer INFO: eta: 10:09:29 iter: 26240 loss: 1.5456 (1.5486) loss_classifier: 0.0663 (0.0842) loss_box_reg: 0.1047 (0.0934) loss_objectness: 0.0153 (0.0255) loss_rpn_box_reg: 0.0109 (0.0166) loss_da_image: 0.6730 (0.6664) loss_da_instance: 0.6499 (0.6556) loss_da_consistency: 0.0058 (0.0069) time: 0.8304 (0.8357) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:50:05,338 maskrcnn_benchmark.trainer INFO: eta: 10:09:12 iter: 26260 loss: 1.4504 (1.5486) loss_classifier: 0.0498 (0.0842) loss_box_reg: 0.0516 (0.0934) loss_objectness: 0.0065 (0.0255) loss_rpn_box_reg: 0.0084 (0.0165) loss_da_image: 0.6679 (0.6664) loss_da_instance: 0.6647 (0.6556) loss_da_consistency: 0.0055 (0.0069) time: 0.8313 (0.8357) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:50:21,942 maskrcnn_benchmark.trainer INFO: eta: 10:08:55 iter: 26280 loss: 1.5151 (1.5486) loss_classifier: 0.0650 (0.0842) loss_box_reg: 0.0803 (0.0934) loss_objectness: 0.0089 (0.0255) loss_rpn_box_reg: 0.0115 (0.0165) loss_da_image: 0.6708 (0.6664) loss_da_instance: 0.6520 (0.6556) loss_da_consistency: 0.0055 (0.0069) time: 0.8291 (0.8357) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:50:38,502 maskrcnn_benchmark.trainer INFO: eta: 10:08:38 iter: 26300 loss: 1.5507 (1.5486) loss_classifier: 0.0692 (0.0842) loss_box_reg: 0.0901 (0.0934) loss_objectness: 0.0198 (0.0255) loss_rpn_box_reg: 0.0105 (0.0166) loss_da_image: 0.6786 (0.6664) loss_da_instance: 0.6502 (0.6556) loss_da_consistency: 0.0056 (0.0069) time: 0.8266 (0.8357) data: 0.0657 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:50:55,131 maskrcnn_benchmark.trainer INFO: eta: 10:08:21 iter: 26320 loss: 1.4895 (1.5486) loss_classifier: 0.0596 (0.0842) loss_box_reg: 0.0530 (0.0934) loss_objectness: 0.0133 (0.0255) loss_rpn_box_reg: 0.0063 (0.0165) loss_da_image: 0.6772 (0.6664) loss_da_instance: 0.6727 (0.6556) loss_da_consistency: 0.0065 (0.0069) time: 0.8308 (0.8357) data: 0.0654 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:51:11,775 maskrcnn_benchmark.trainer INFO: eta: 10:08:04 iter: 26340 loss: 1.4861 (1.5485) loss_classifier: 0.0632 (0.0842) loss_box_reg: 0.0627 (0.0934) loss_objectness: 0.0133 (0.0255) loss_rpn_box_reg: 0.0075 (0.0165) loss_da_image: 0.6701 (0.6664) loss_da_instance: 0.6684 (0.6556) loss_da_consistency: 0.0060 (0.0069) time: 0.8305 (0.8357) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:51:28,377 maskrcnn_benchmark.trainer INFO: eta: 10:07:48 iter: 26360 loss: 1.4764 (1.5485) loss_classifier: 0.0484 (0.0842) loss_box_reg: 0.0510 (0.0933) loss_objectness: 0.0079 (0.0255) loss_rpn_box_reg: 0.0059 (0.0165) loss_da_image: 0.6763 (0.6664) loss_da_instance: 0.6660 (0.6557) loss_da_consistency: 0.0049 (0.0069) time: 0.8300 (0.8357) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:51:44,999 maskrcnn_benchmark.trainer INFO: eta: 10:07:31 iter: 26380 loss: 1.5277 (1.5485) loss_classifier: 0.0795 (0.0842) loss_box_reg: 0.0763 (0.0933) loss_objectness: 0.0122 (0.0254) loss_rpn_box_reg: 0.0072 (0.0165) loss_da_image: 0.6838 (0.6664) loss_da_instance: 0.6676 (0.6557) loss_da_consistency: 0.0058 (0.0069) time: 0.8308 (0.8357) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:52:01,649 maskrcnn_benchmark.trainer INFO: eta: 10:07:14 iter: 26400 loss: 1.4932 (1.5485) loss_classifier: 0.0598 (0.0842) loss_box_reg: 0.0504 (0.0933) loss_objectness: 0.0097 (0.0254) loss_rpn_box_reg: 0.0081 (0.0165) loss_da_image: 0.6725 (0.6664) loss_da_instance: 0.6627 (0.6557) loss_da_consistency: 0.0046 (0.0069) time: 0.8322 (0.8357) data: 0.0648 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:52:18,292 maskrcnn_benchmark.trainer INFO: eta: 10:06:57 iter: 26420 loss: 1.4826 (1.5485) loss_classifier: 0.0545 (0.0841) loss_box_reg: 0.0532 (0.0933) loss_objectness: 0.0125 (0.0254) loss_rpn_box_reg: 0.0069 (0.0165) loss_da_image: 0.6687 (0.6664) loss_da_instance: 0.6615 (0.6557) loss_da_consistency: 0.0057 (0.0069) time: 0.8315 (0.8356) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:52:34,900 maskrcnn_benchmark.trainer INFO: eta: 10:06:40 iter: 26440 loss: 1.5266 (1.5484) loss_classifier: 0.0683 (0.0841) loss_box_reg: 0.0623 (0.0933) loss_objectness: 0.0133 (0.0254) loss_rpn_box_reg: 0.0094 (0.0165) loss_da_image: 0.6675 (0.6664) loss_da_instance: 0.6648 (0.6557) loss_da_consistency: 0.0056 (0.0069) time: 0.8302 (0.8356) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:52:51,526 maskrcnn_benchmark.trainer INFO: eta: 10:06:23 iter: 26460 loss: 1.4890 (1.5484) loss_classifier: 0.0508 (0.0841) loss_box_reg: 0.0694 (0.0933) loss_objectness: 0.0132 (0.0254) loss_rpn_box_reg: 0.0097 (0.0165) loss_da_image: 0.6754 (0.6664) loss_da_instance: 0.6631 (0.6557) loss_da_consistency: 0.0058 (0.0069) time: 0.8315 (0.8356) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:53:08,145 maskrcnn_benchmark.trainer INFO: eta: 10:06:06 iter: 26480 loss: 1.4672 (1.5484) loss_classifier: 0.0363 (0.0841) loss_box_reg: 0.0684 (0.0933) loss_objectness: 0.0120 (0.0254) loss_rpn_box_reg: 0.0061 (0.0165) loss_da_image: 0.6746 (0.6665) loss_da_instance: 0.6502 (0.6557) loss_da_consistency: 0.0052 (0.0069) time: 0.8312 (0.8356) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:53:24,781 maskrcnn_benchmark.trainer INFO: eta: 10:05:50 iter: 26500 loss: 1.5573 (1.5484) loss_classifier: 0.0796 (0.0841) loss_box_reg: 0.0836 (0.0933) loss_objectness: 0.0178 (0.0254) loss_rpn_box_reg: 0.0157 (0.0165) loss_da_image: 0.6699 (0.6665) loss_da_instance: 0.6593 (0.6557) loss_da_consistency: 0.0060 (0.0069) time: 0.8296 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:53:41,487 maskrcnn_benchmark.trainer INFO: eta: 10:05:33 iter: 26520 loss: 1.4849 (1.5483) loss_classifier: 0.0576 (0.0841) loss_box_reg: 0.0403 (0.0933) loss_objectness: 0.0088 (0.0254) loss_rpn_box_reg: 0.0098 (0.0165) loss_da_image: 0.6758 (0.6665) loss_da_instance: 0.6653 (0.6557) loss_da_consistency: 0.0047 (0.0069) time: 0.8360 (0.8356) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:53:58,149 maskrcnn_benchmark.trainer INFO: eta: 10:05:16 iter: 26540 loss: 1.5048 (1.5483) loss_classifier: 0.0590 (0.0840) loss_box_reg: 0.0586 (0.0932) loss_objectness: 0.0079 (0.0254) loss_rpn_box_reg: 0.0090 (0.0165) loss_da_image: 0.6762 (0.6665) loss_da_instance: 0.6596 (0.6557) loss_da_consistency: 0.0053 (0.0069) time: 0.8334 (0.8356) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:54:14,833 maskrcnn_benchmark.trainer INFO: eta: 10:04:59 iter: 26560 loss: 1.4751 (1.5483) loss_classifier: 0.0535 (0.0840) loss_box_reg: 0.0648 (0.0932) loss_objectness: 0.0066 (0.0254) loss_rpn_box_reg: 0.0081 (0.0165) loss_da_image: 0.6823 (0.6665) loss_da_instance: 0.6579 (0.6557) loss_da_consistency: 0.0061 (0.0069) time: 0.8339 (0.8356) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:54:31,497 maskrcnn_benchmark.trainer INFO: eta: 10:04:43 iter: 26580 loss: 1.4643 (1.5483) loss_classifier: 0.0461 (0.0840) loss_box_reg: 0.0633 (0.0932) loss_objectness: 0.0124 (0.0254) loss_rpn_box_reg: 0.0084 (0.0165) loss_da_image: 0.6794 (0.6665) loss_da_instance: 0.6606 (0.6557) loss_da_consistency: 0.0059 (0.0069) time: 0.8333 (0.8356) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:54:48,195 maskrcnn_benchmark.trainer INFO: eta: 10:04:26 iter: 26600 loss: 1.5094 (1.5482) loss_classifier: 0.0638 (0.0840) loss_box_reg: 0.0845 (0.0932) loss_objectness: 0.0098 (0.0254) loss_rpn_box_reg: 0.0133 (0.0165) loss_da_image: 0.6704 (0.6665) loss_da_instance: 0.6504 (0.6557) loss_da_consistency: 0.0059 (0.0069) time: 0.8346 (0.8356) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:55:04,882 maskrcnn_benchmark.trainer INFO: eta: 10:04:09 iter: 26620 loss: 1.4715 (1.5482) loss_classifier: 0.0497 (0.0840) loss_box_reg: 0.0479 (0.0932) loss_objectness: 0.0120 (0.0254) loss_rpn_box_reg: 0.0069 (0.0165) loss_da_image: 0.6683 (0.6665) loss_da_instance: 0.6635 (0.6557) loss_da_consistency: 0.0060 (0.0069) time: 0.8337 (0.8356) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:55:21,518 maskrcnn_benchmark.trainer INFO: eta: 10:03:52 iter: 26640 loss: 1.4616 (1.5482) loss_classifier: 0.0479 (0.0840) loss_box_reg: 0.0547 (0.0932) loss_objectness: 0.0102 (0.0254) loss_rpn_box_reg: 0.0069 (0.0165) loss_da_image: 0.6744 (0.6665) loss_da_instance: 0.6598 (0.6557) loss_da_consistency: 0.0051 (0.0069) time: 0.8307 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:55:38,178 maskrcnn_benchmark.trainer INFO: eta: 10:03:35 iter: 26660 loss: 1.5123 (1.5481) loss_classifier: 0.0619 (0.0840) loss_box_reg: 0.0798 (0.0932) loss_objectness: 0.0155 (0.0254) loss_rpn_box_reg: 0.0150 (0.0165) loss_da_image: 0.6765 (0.6665) loss_da_instance: 0.6491 (0.6557) loss_da_consistency: 0.0065 (0.0069) time: 0.8321 (0.8356) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:55:54,827 maskrcnn_benchmark.trainer INFO: eta: 10:03:19 iter: 26680 loss: 1.5179 (1.5481) loss_classifier: 0.0531 (0.0839) loss_box_reg: 0.0473 (0.0931) loss_objectness: 0.0166 (0.0253) loss_rpn_box_reg: 0.0096 (0.0165) loss_da_image: 0.6806 (0.6665) loss_da_instance: 0.6666 (0.6557) loss_da_consistency: 0.0062 (0.0069) time: 0.8313 (0.8356) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:56:11,480 maskrcnn_benchmark.trainer INFO: eta: 10:03:02 iter: 26700 loss: 1.4167 (1.5481) loss_classifier: 0.0323 (0.0839) loss_box_reg: 0.0252 (0.0931) loss_objectness: 0.0069 (0.0253) loss_rpn_box_reg: 0.0040 (0.0165) loss_da_image: 0.6711 (0.6665) loss_da_instance: 0.6694 (0.6558) loss_da_consistency: 0.0061 (0.0069) time: 0.8328 (0.8356) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:56:28,205 maskrcnn_benchmark.trainer INFO: eta: 10:02:45 iter: 26720 loss: 1.4803 (1.5480) loss_classifier: 0.0392 (0.0839) loss_box_reg: 0.0356 (0.0931) loss_objectness: 0.0084 (0.0253) loss_rpn_box_reg: 0.0042 (0.0165) loss_da_image: 0.6788 (0.6665) loss_da_instance: 0.6698 (0.6558) loss_da_consistency: 0.0071 (0.0069) time: 0.8354 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:56:44,863 maskrcnn_benchmark.trainer INFO: eta: 10:02:28 iter: 26740 loss: 1.5497 (1.5480) loss_classifier: 0.0613 (0.0839) loss_box_reg: 0.0746 (0.0931) loss_objectness: 0.0110 (0.0253) loss_rpn_box_reg: 0.0091 (0.0165) loss_da_image: 0.6824 (0.6666) loss_da_instance: 0.6685 (0.6558) loss_da_consistency: 0.0058 (0.0069) time: 0.8314 (0.8356) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:57:01,572 maskrcnn_benchmark.trainer INFO: eta: 10:02:12 iter: 26760 loss: 1.5014 (1.5480) loss_classifier: 0.0727 (0.0839) loss_box_reg: 0.0668 (0.0931) loss_objectness: 0.0104 (0.0253) loss_rpn_box_reg: 0.0075 (0.0165) loss_da_image: 0.6697 (0.6666) loss_da_instance: 0.6658 (0.6558) loss_da_consistency: 0.0060 (0.0069) time: 0.8366 (0.8356) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:57:18,282 maskrcnn_benchmark.trainer INFO: eta: 10:01:55 iter: 26780 loss: 1.4982 (1.5480) loss_classifier: 0.0573 (0.0839) loss_box_reg: 0.0594 (0.0930) loss_objectness: 0.0156 (0.0253) loss_rpn_box_reg: 0.0178 (0.0165) loss_da_image: 0.6617 (0.6666) loss_da_instance: 0.6630 (0.6558) loss_da_consistency: 0.0049 (0.0069) time: 0.8367 (0.8356) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:57:34,980 maskrcnn_benchmark.trainer INFO: eta: 10:01:38 iter: 26800 loss: 1.4434 (1.5479) loss_classifier: 0.0519 (0.0839) loss_box_reg: 0.0425 (0.0930) loss_objectness: 0.0083 (0.0253) loss_rpn_box_reg: 0.0073 (0.0165) loss_da_image: 0.6657 (0.6666) loss_da_instance: 0.6454 (0.6558) loss_da_consistency: 0.0056 (0.0069) time: 0.8356 (0.8356) data: 0.0653 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:57:51,669 maskrcnn_benchmark.trainer INFO: eta: 10:01:21 iter: 26820 loss: 1.4600 (1.5479) loss_classifier: 0.0488 (0.0838) loss_box_reg: 0.0728 (0.0930) loss_objectness: 0.0119 (0.0253) loss_rpn_box_reg: 0.0063 (0.0165) loss_da_image: 0.6677 (0.6666) loss_da_instance: 0.6634 (0.6558) loss_da_consistency: 0.0064 (0.0069) time: 0.8352 (0.8356) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:58:08,322 maskrcnn_benchmark.trainer INFO: eta: 10:01:05 iter: 26840 loss: 1.5043 (1.5479) loss_classifier: 0.0611 (0.0838) loss_box_reg: 0.0676 (0.0930) loss_objectness: 0.0093 (0.0253) loss_rpn_box_reg: 0.0083 (0.0165) loss_da_image: 0.6707 (0.6666) loss_da_instance: 0.6644 (0.6558) loss_da_consistency: 0.0049 (0.0069) time: 0.8319 (0.8356) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:58:24,994 maskrcnn_benchmark.trainer INFO: eta: 10:00:48 iter: 26860 loss: 1.4901 (1.5479) loss_classifier: 0.0607 (0.0838) loss_box_reg: 0.0844 (0.0930) loss_objectness: 0.0120 (0.0253) loss_rpn_box_reg: 0.0055 (0.0165) loss_da_image: 0.6702 (0.6666) loss_da_instance: 0.6644 (0.6558) loss_da_consistency: 0.0055 (0.0069) time: 0.8328 (0.8356) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:58:41,670 maskrcnn_benchmark.trainer INFO: eta: 10:00:31 iter: 26880 loss: 1.4703 (1.5478) loss_classifier: 0.0605 (0.0838) loss_box_reg: 0.0602 (0.0930) loss_objectness: 0.0131 (0.0253) loss_rpn_box_reg: 0.0073 (0.0165) loss_da_image: 0.6744 (0.6666) loss_da_instance: 0.6644 (0.6558) loss_da_consistency: 0.0053 (0.0069) time: 0.8328 (0.8356) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:58:58,316 maskrcnn_benchmark.trainer INFO: eta: 10:00:14 iter: 26900 loss: 1.4564 (1.5478) loss_classifier: 0.0428 (0.0838) loss_box_reg: 0.0428 (0.0930) loss_objectness: 0.0105 (0.0253) loss_rpn_box_reg: 0.0061 (0.0165) loss_da_image: 0.6735 (0.6666) loss_da_instance: 0.6677 (0.6558) loss_da_consistency: 0.0048 (0.0069) time: 0.8317 (0.8356) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:59:15,021 maskrcnn_benchmark.trainer INFO: eta: 9:59:57 iter: 26920 loss: 1.5094 (1.5478) loss_classifier: 0.0652 (0.0838) loss_box_reg: 0.0923 (0.0930) loss_objectness: 0.0159 (0.0253) loss_rpn_box_reg: 0.0122 (0.0165) loss_da_image: 0.6665 (0.6666) loss_da_instance: 0.6526 (0.6558) loss_da_consistency: 0.0059 (0.0069) time: 0.8338 (0.8356) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:59:31,686 maskrcnn_benchmark.trainer INFO: eta: 9:59:41 iter: 26940 loss: 1.4996 (1.5477) loss_classifier: 0.0500 (0.0838) loss_box_reg: 0.0686 (0.0930) loss_objectness: 0.0073 (0.0253) loss_rpn_box_reg: 0.0080 (0.0165) loss_da_image: 0.6782 (0.6666) loss_da_instance: 0.6650 (0.6558) loss_da_consistency: 0.0050 (0.0069) time: 0.8333 (0.8356) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 19:59:48,364 maskrcnn_benchmark.trainer INFO: eta: 9:59:24 iter: 26960 loss: 1.4988 (1.5477) loss_classifier: 0.0679 (0.0838) loss_box_reg: 0.0653 (0.0929) loss_objectness: 0.0200 (0.0252) loss_rpn_box_reg: 0.0135 (0.0165) loss_da_image: 0.6743 (0.6666) loss_da_instance: 0.6511 (0.6558) loss_da_consistency: 0.0065 (0.0069) time: 0.8325 (0.8356) data: 0.0619 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:00:05,020 maskrcnn_benchmark.trainer INFO: eta: 9:59:07 iter: 26980 loss: 1.5002 (1.5477) loss_classifier: 0.0650 (0.0838) loss_box_reg: 0.0761 (0.0929) loss_objectness: 0.0079 (0.0252) loss_rpn_box_reg: 0.0078 (0.0165) loss_da_image: 0.6771 (0.6666) loss_da_instance: 0.6661 (0.6558) loss_da_consistency: 0.0053 (0.0069) time: 0.8338 (0.8356) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:00:21,718 maskrcnn_benchmark.trainer INFO: eta: 9:58:50 iter: 27000 loss: 1.4401 (1.5477) loss_classifier: 0.0487 (0.0837) loss_box_reg: 0.0448 (0.0929) loss_objectness: 0.0124 (0.0252) loss_rpn_box_reg: 0.0081 (0.0164) loss_da_image: 0.6739 (0.6666) loss_da_instance: 0.6626 (0.6558) loss_da_consistency: 0.0064 (0.0069) time: 0.8348 (0.8356) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:00:38,412 maskrcnn_benchmark.trainer INFO: eta: 9:58:34 iter: 27020 loss: 1.5132 (1.5476) loss_classifier: 0.0621 (0.0837) loss_box_reg: 0.0661 (0.0929) loss_objectness: 0.0096 (0.0252) loss_rpn_box_reg: 0.0069 (0.0164) loss_da_image: 0.6796 (0.6666) loss_da_instance: 0.6554 (0.6558) loss_da_consistency: 0.0058 (0.0069) time: 0.8348 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:00:55,117 maskrcnn_benchmark.trainer INFO: eta: 9:58:17 iter: 27040 loss: 1.4539 (1.5476) loss_classifier: 0.0413 (0.0837) loss_box_reg: 0.0650 (0.0929) loss_objectness: 0.0067 (0.0252) loss_rpn_box_reg: 0.0060 (0.0164) loss_da_image: 0.6756 (0.6666) loss_da_instance: 0.6422 (0.6558) loss_da_consistency: 0.0064 (0.0069) time: 0.8365 (0.8356) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:01:11,807 maskrcnn_benchmark.trainer INFO: eta: 9:58:00 iter: 27060 loss: 1.5301 (1.5476) loss_classifier: 0.0655 (0.0837) loss_box_reg: 0.0810 (0.0929) loss_objectness: 0.0131 (0.0252) loss_rpn_box_reg: 0.0113 (0.0164) loss_da_image: 0.6749 (0.6666) loss_da_instance: 0.6611 (0.6558) loss_da_consistency: 0.0067 (0.0069) time: 0.8339 (0.8356) data: 0.0648 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:01:28,482 maskrcnn_benchmark.trainer INFO: eta: 9:57:43 iter: 27080 loss: 1.4967 (1.5476) loss_classifier: 0.0556 (0.0837) loss_box_reg: 0.0601 (0.0929) loss_objectness: 0.0096 (0.0252) loss_rpn_box_reg: 0.0089 (0.0164) loss_da_image: 0.6799 (0.6666) loss_da_instance: 0.6441 (0.6558) loss_da_consistency: 0.0066 (0.0069) time: 0.8333 (0.8356) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:01:45,118 maskrcnn_benchmark.trainer INFO: eta: 9:57:27 iter: 27100 loss: 1.4681 (1.5475) loss_classifier: 0.0468 (0.0837) loss_box_reg: 0.0531 (0.0929) loss_objectness: 0.0058 (0.0252) loss_rpn_box_reg: 0.0069 (0.0164) loss_da_image: 0.6776 (0.6666) loss_da_instance: 0.6595 (0.6558) loss_da_consistency: 0.0055 (0.0069) time: 0.8320 (0.8356) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:02:01,794 maskrcnn_benchmark.trainer INFO: eta: 9:57:10 iter: 27120 loss: 1.4880 (1.5475) loss_classifier: 0.0580 (0.0836) loss_box_reg: 0.0637 (0.0928) loss_objectness: 0.0116 (0.0252) loss_rpn_box_reg: 0.0080 (0.0164) loss_da_image: 0.6667 (0.6666) loss_da_instance: 0.6642 (0.6558) loss_da_consistency: 0.0060 (0.0069) time: 0.8331 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:02:18,493 maskrcnn_benchmark.trainer INFO: eta: 9:56:53 iter: 27140 loss: 1.4548 (1.5474) loss_classifier: 0.0451 (0.0836) loss_box_reg: 0.0440 (0.0928) loss_objectness: 0.0061 (0.0252) loss_rpn_box_reg: 0.0056 (0.0164) loss_da_image: 0.6707 (0.6666) loss_da_instance: 0.6586 (0.6558) loss_da_consistency: 0.0053 (0.0069) time: 0.8331 (0.8356) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:02:35,166 maskrcnn_benchmark.trainer INFO: eta: 9:56:36 iter: 27160 loss: 1.4303 (1.5474) loss_classifier: 0.0305 (0.0836) loss_box_reg: 0.0408 (0.0928) loss_objectness: 0.0077 (0.0252) loss_rpn_box_reg: 0.0033 (0.0164) loss_da_image: 0.6731 (0.6666) loss_da_instance: 0.6653 (0.6559) loss_da_consistency: 0.0055 (0.0069) time: 0.8335 (0.8356) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:02:51,830 maskrcnn_benchmark.trainer INFO: eta: 9:56:20 iter: 27180 loss: 1.4524 (1.5473) loss_classifier: 0.0529 (0.0836) loss_box_reg: 0.0360 (0.0928) loss_objectness: 0.0058 (0.0252) loss_rpn_box_reg: 0.0064 (0.0164) loss_da_image: 0.6675 (0.6666) loss_da_instance: 0.6736 (0.6559) loss_da_consistency: 0.0053 (0.0069) time: 0.8322 (0.8356) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:03:08,511 maskrcnn_benchmark.trainer INFO: eta: 9:56:03 iter: 27200 loss: 1.5028 (1.5473) loss_classifier: 0.0573 (0.0836) loss_box_reg: 0.0795 (0.0928) loss_objectness: 0.0080 (0.0251) loss_rpn_box_reg: 0.0074 (0.0164) loss_da_image: 0.6704 (0.6666) loss_da_instance: 0.6598 (0.6559) loss_da_consistency: 0.0057 (0.0069) time: 0.8337 (0.8356) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:03:25,191 maskrcnn_benchmark.trainer INFO: eta: 9:55:46 iter: 27220 loss: 1.4901 (1.5473) loss_classifier: 0.0500 (0.0835) loss_box_reg: 0.0665 (0.0928) loss_objectness: 0.0150 (0.0252) loss_rpn_box_reg: 0.0087 (0.0164) loss_da_image: 0.6690 (0.6667) loss_da_instance: 0.6677 (0.6559) loss_da_consistency: 0.0042 (0.0069) time: 0.8337 (0.8356) data: 0.0644 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:03:41,852 maskrcnn_benchmark.trainer INFO: eta: 9:55:29 iter: 27240 loss: 1.4653 (1.5473) loss_classifier: 0.0489 (0.0835) loss_box_reg: 0.0538 (0.0927) loss_objectness: 0.0075 (0.0251) loss_rpn_box_reg: 0.0068 (0.0164) loss_da_image: 0.6711 (0.6667) loss_da_instance: 0.6585 (0.6559) loss_da_consistency: 0.0052 (0.0069) time: 0.8328 (0.8356) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:03:58,531 maskrcnn_benchmark.trainer INFO: eta: 9:55:12 iter: 27260 loss: 1.4754 (1.5472) loss_classifier: 0.0466 (0.0835) loss_box_reg: 0.0588 (0.0927) loss_objectness: 0.0123 (0.0251) loss_rpn_box_reg: 0.0067 (0.0164) loss_da_image: 0.6804 (0.6667) loss_da_instance: 0.6555 (0.6559) loss_da_consistency: 0.0058 (0.0069) time: 0.8336 (0.8356) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:04:15,204 maskrcnn_benchmark.trainer INFO: eta: 9:54:56 iter: 27280 loss: 1.4989 (1.5472) loss_classifier: 0.0651 (0.0835) loss_box_reg: 0.0798 (0.0927) loss_objectness: 0.0137 (0.0251) loss_rpn_box_reg: 0.0106 (0.0164) loss_da_image: 0.6656 (0.6667) loss_da_instance: 0.6474 (0.6559) loss_da_consistency: 0.0054 (0.0069) time: 0.8330 (0.8356) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:04:31,874 maskrcnn_benchmark.trainer INFO: eta: 9:54:39 iter: 27300 loss: 1.4594 (1.5472) loss_classifier: 0.0433 (0.0835) loss_box_reg: 0.0519 (0.0927) loss_objectness: 0.0070 (0.0251) loss_rpn_box_reg: 0.0069 (0.0164) loss_da_image: 0.6800 (0.6667) loss_da_instance: 0.6449 (0.6559) loss_da_consistency: 0.0054 (0.0069) time: 0.8332 (0.8356) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:04:48,542 maskrcnn_benchmark.trainer INFO: eta: 9:54:22 iter: 27320 loss: 1.4824 (1.5472) loss_classifier: 0.0568 (0.0835) loss_box_reg: 0.0527 (0.0927) loss_objectness: 0.0135 (0.0251) loss_rpn_box_reg: 0.0097 (0.0164) loss_da_image: 0.6750 (0.6667) loss_da_instance: 0.6644 (0.6559) loss_da_consistency: 0.0054 (0.0069) time: 0.8340 (0.8356) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:05:05,198 maskrcnn_benchmark.trainer INFO: eta: 9:54:05 iter: 27340 loss: 1.5043 (1.5471) loss_classifier: 0.0601 (0.0835) loss_box_reg: 0.0597 (0.0927) loss_objectness: 0.0098 (0.0251) loss_rpn_box_reg: 0.0055 (0.0164) loss_da_image: 0.6766 (0.6667) loss_da_instance: 0.6557 (0.6559) loss_da_consistency: 0.0055 (0.0069) time: 0.8326 (0.8356) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:05:21,856 maskrcnn_benchmark.trainer INFO: eta: 9:53:49 iter: 27360 loss: 1.4850 (1.5471) loss_classifier: 0.0622 (0.0835) loss_box_reg: 0.0578 (0.0927) loss_objectness: 0.0119 (0.0251) loss_rpn_box_reg: 0.0107 (0.0164) loss_da_image: 0.6800 (0.6667) loss_da_instance: 0.6545 (0.6559) loss_da_consistency: 0.0064 (0.0069) time: 0.8330 (0.8356) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:05:38,520 maskrcnn_benchmark.trainer INFO: eta: 9:53:32 iter: 27380 loss: 1.5289 (1.5471) loss_classifier: 0.0607 (0.0835) loss_box_reg: 0.0836 (0.0926) loss_objectness: 0.0073 (0.0251) loss_rpn_box_reg: 0.0090 (0.0164) loss_da_image: 0.6736 (0.6667) loss_da_instance: 0.6539 (0.6559) loss_da_consistency: 0.0057 (0.0069) time: 0.8332 (0.8356) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:05:55,196 maskrcnn_benchmark.trainer INFO: eta: 9:53:15 iter: 27400 loss: 1.4877 (1.5470) loss_classifier: 0.0622 (0.0834) loss_box_reg: 0.0572 (0.0926) loss_objectness: 0.0089 (0.0251) loss_rpn_box_reg: 0.0060 (0.0164) loss_da_image: 0.6719 (0.6667) loss_da_instance: 0.6642 (0.6559) loss_da_consistency: 0.0054 (0.0069) time: 0.8335 (0.8356) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:06:11,841 maskrcnn_benchmark.trainer INFO: eta: 9:52:58 iter: 27420 loss: 1.5032 (1.5470) loss_classifier: 0.0628 (0.0834) loss_box_reg: 0.0507 (0.0926) loss_objectness: 0.0099 (0.0251) loss_rpn_box_reg: 0.0061 (0.0164) loss_da_image: 0.6743 (0.6667) loss_da_instance: 0.6604 (0.6559) loss_da_consistency: 0.0047 (0.0069) time: 0.8316 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:06:28,472 maskrcnn_benchmark.trainer INFO: eta: 9:52:41 iter: 27440 loss: 1.5345 (1.5470) loss_classifier: 0.0775 (0.0834) loss_box_reg: 0.0801 (0.0926) loss_objectness: 0.0113 (0.0251) loss_rpn_box_reg: 0.0087 (0.0164) loss_da_image: 0.6739 (0.6667) loss_da_instance: 0.6615 (0.6559) loss_da_consistency: 0.0055 (0.0069) time: 0.8294 (0.8356) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:06:45,118 maskrcnn_benchmark.trainer INFO: eta: 9:52:24 iter: 27460 loss: 1.4697 (1.5470) loss_classifier: 0.0447 (0.0834) loss_box_reg: 0.0484 (0.0926) loss_objectness: 0.0060 (0.0251) loss_rpn_box_reg: 0.0049 (0.0164) loss_da_image: 0.6677 (0.6667) loss_da_instance: 0.6683 (0.6559) loss_da_consistency: 0.0072 (0.0069) time: 0.8326 (0.8356) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:07:01,754 maskrcnn_benchmark.trainer INFO: eta: 9:52:08 iter: 27480 loss: 1.5189 (1.5470) loss_classifier: 0.0575 (0.0834) loss_box_reg: 0.0933 (0.0926) loss_objectness: 0.0086 (0.0251) loss_rpn_box_reg: 0.0068 (0.0164) loss_da_image: 0.6752 (0.6667) loss_da_instance: 0.6582 (0.6559) loss_da_consistency: 0.0056 (0.0069) time: 0.8314 (0.8356) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:07:18,353 maskrcnn_benchmark.trainer INFO: eta: 9:51:51 iter: 27500 loss: 1.4900 (1.5469) loss_classifier: 0.0535 (0.0834) loss_box_reg: 0.0543 (0.0926) loss_objectness: 0.0093 (0.0250) loss_rpn_box_reg: 0.0077 (0.0164) loss_da_image: 0.6780 (0.6667) loss_da_instance: 0.6666 (0.6559) loss_da_consistency: 0.0054 (0.0069) time: 0.8309 (0.8356) data: 0.0650 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:07:18,355 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0027500.pth
2019-10-25 20:07:35,147 maskrcnn_benchmark.trainer INFO: eta: 9:51:34 iter: 27520 loss: 1.4994 (1.5469) loss_classifier: 0.0579 (0.0834) loss_box_reg: 0.0557 (0.0926) loss_objectness: 0.0108 (0.0250) loss_rpn_box_reg: 0.0052 (0.0164) loss_da_image: 0.6716 (0.6667) loss_da_instance: 0.6565 (0.6559) loss_da_consistency: 0.0057 (0.0069) time: 0.8307 (0.8356) data: 0.0644 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:07:51,731 maskrcnn_benchmark.trainer INFO: eta: 9:51:17 iter: 27540 loss: 1.4927 (1.5469) loss_classifier: 0.0584 (0.0834) loss_box_reg: 0.0659 (0.0926) loss_objectness: 0.0073 (0.0250) loss_rpn_box_reg: 0.0083 (0.0164) loss_da_image: 0.6789 (0.6667) loss_da_instance: 0.6626 (0.6559) loss_da_consistency: 0.0054 (0.0069) time: 0.8295 (0.8356) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:08:08,341 maskrcnn_benchmark.trainer INFO: eta: 9:51:00 iter: 27560 loss: 1.5114 (1.5469) loss_classifier: 0.0713 (0.0834) loss_box_reg: 0.0648 (0.0926) loss_objectness: 0.0139 (0.0250) loss_rpn_box_reg: 0.0126 (0.0164) loss_da_image: 0.6751 (0.6667) loss_da_instance: 0.6675 (0.6560) loss_da_consistency: 0.0056 (0.0069) time: 0.8305 (0.8356) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:08:24,942 maskrcnn_benchmark.trainer INFO: eta: 9:50:44 iter: 27580 loss: 1.4727 (1.5469) loss_classifier: 0.0476 (0.0833) loss_box_reg: 0.0432 (0.0925) loss_objectness: 0.0074 (0.0250) loss_rpn_box_reg: 0.0057 (0.0164) loss_da_image: 0.6785 (0.6668) loss_da_instance: 0.6598 (0.6560) loss_da_consistency: 0.0052 (0.0069) time: 0.8289 (0.8356) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:08:41,543 maskrcnn_benchmark.trainer INFO: eta: 9:50:27 iter: 27600 loss: 1.5026 (1.5468) loss_classifier: 0.0610 (0.0833) loss_box_reg: 0.0687 (0.0925) loss_objectness: 0.0092 (0.0250) loss_rpn_box_reg: 0.0095 (0.0164) loss_da_image: 0.6666 (0.6668) loss_da_instance: 0.6590 (0.6560) loss_da_consistency: 0.0056 (0.0069) time: 0.8294 (0.8355) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:08:58,140 maskrcnn_benchmark.trainer INFO: eta: 9:50:10 iter: 27620 loss: 1.4605 (1.5468) loss_classifier: 0.0576 (0.0833) loss_box_reg: 0.0542 (0.0925) loss_objectness: 0.0114 (0.0250) loss_rpn_box_reg: 0.0101 (0.0163) loss_da_image: 0.6662 (0.6668) loss_da_instance: 0.6442 (0.6560) loss_da_consistency: 0.0059 (0.0069) time: 0.8299 (0.8355) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:09:14,736 maskrcnn_benchmark.trainer INFO: eta: 9:49:53 iter: 27640 loss: 1.4865 (1.5467) loss_classifier: 0.0501 (0.0833) loss_box_reg: 0.0653 (0.0925) loss_objectness: 0.0073 (0.0250) loss_rpn_box_reg: 0.0072 (0.0163) loss_da_image: 0.6783 (0.6668) loss_da_instance: 0.6603 (0.6560) loss_da_consistency: 0.0055 (0.0069) time: 0.8296 (0.8355) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:09:31,318 maskrcnn_benchmark.trainer INFO: eta: 9:49:36 iter: 27660 loss: 1.4664 (1.5467) loss_classifier: 0.0502 (0.0833) loss_box_reg: 0.0578 (0.0925) loss_objectness: 0.0068 (0.0250) loss_rpn_box_reg: 0.0067 (0.0163) loss_da_image: 0.6690 (0.6668) loss_da_instance: 0.6722 (0.6560) loss_da_consistency: 0.0050 (0.0069) time: 0.8291 (0.8355) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:09:47,908 maskrcnn_benchmark.trainer INFO: eta: 9:49:19 iter: 27680 loss: 1.4590 (1.5466) loss_classifier: 0.0536 (0.0832) loss_box_reg: 0.0456 (0.0924) loss_objectness: 0.0083 (0.0250) loss_rpn_box_reg: 0.0064 (0.0163) loss_da_image: 0.6698 (0.6668) loss_da_instance: 0.6676 (0.6560) loss_da_consistency: 0.0048 (0.0069) time: 0.8291 (0.8355) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:10:04,545 maskrcnn_benchmark.trainer INFO: eta: 9:49:02 iter: 27700 loss: 1.4860 (1.5466) loss_classifier: 0.0545 (0.0832) loss_box_reg: 0.0719 (0.0924) loss_objectness: 0.0110 (0.0250) loss_rpn_box_reg: 0.0091 (0.0163) loss_da_image: 0.6774 (0.6668) loss_da_instance: 0.6573 (0.6560) loss_da_consistency: 0.0057 (0.0069) time: 0.8319 (0.8355) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:10:21,157 maskrcnn_benchmark.trainer INFO: eta: 9:48:45 iter: 27720 loss: 1.4688 (1.5466) loss_classifier: 0.0591 (0.0832) loss_box_reg: 0.0560 (0.0924) loss_objectness: 0.0127 (0.0250) loss_rpn_box_reg: 0.0077 (0.0163) loss_da_image: 0.6696 (0.6668) loss_da_instance: 0.6601 (0.6560) loss_da_consistency: 0.0061 (0.0069) time: 0.8316 (0.8355) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:10:37,730 maskrcnn_benchmark.trainer INFO: eta: 9:48:28 iter: 27740 loss: 1.4611 (1.5465) loss_classifier: 0.0439 (0.0832) loss_box_reg: 0.0407 (0.0924) loss_objectness: 0.0068 (0.0249) loss_rpn_box_reg: 0.0067 (0.0163) loss_da_image: 0.6722 (0.6668) loss_da_instance: 0.6678 (0.6560) loss_da_consistency: 0.0050 (0.0069) time: 0.8294 (0.8355) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:10:54,334 maskrcnn_benchmark.trainer INFO: eta: 9:48:12 iter: 27760 loss: 1.5060 (1.5465) loss_classifier: 0.0679 (0.0832) loss_box_reg: 0.0868 (0.0924) loss_objectness: 0.0111 (0.0249) loss_rpn_box_reg: 0.0105 (0.0163) loss_da_image: 0.6759 (0.6668) loss_da_instance: 0.6623 (0.6560) loss_da_consistency: 0.0052 (0.0069) time: 0.8294 (0.8355) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:11:10,910 maskrcnn_benchmark.trainer INFO: eta: 9:47:55 iter: 27780 loss: 1.5357 (1.5465) loss_classifier: 0.0696 (0.0832) loss_box_reg: 0.0934 (0.0924) loss_objectness: 0.0118 (0.0249) loss_rpn_box_reg: 0.0109 (0.0163) loss_da_image: 0.6730 (0.6668) loss_da_instance: 0.6582 (0.6560) loss_da_consistency: 0.0059 (0.0069) time: 0.8289 (0.8355) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:11:27,512 maskrcnn_benchmark.trainer INFO: eta: 9:47:38 iter: 27800 loss: 1.4534 (1.5465) loss_classifier: 0.0507 (0.0832) loss_box_reg: 0.0521 (0.0924) loss_objectness: 0.0150 (0.0249) loss_rpn_box_reg: 0.0073 (0.0163) loss_da_image: 0.6698 (0.6668) loss_da_instance: 0.6559 (0.6560) loss_da_consistency: 0.0058 (0.0069) time: 0.8290 (0.8355) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:11:44,104 maskrcnn_benchmark.trainer INFO: eta: 9:47:21 iter: 27820 loss: 1.4426 (1.5464) loss_classifier: 0.0456 (0.0832) loss_box_reg: 0.0633 (0.0923) loss_objectness: 0.0080 (0.0249) loss_rpn_box_reg: 0.0062 (0.0163) loss_da_image: 0.6756 (0.6668) loss_da_instance: 0.6605 (0.6560) loss_da_consistency: 0.0055 (0.0069) time: 0.8281 (0.8355) data: 0.0644 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:12:00,699 maskrcnn_benchmark.trainer INFO: eta: 9:47:04 iter: 27840 loss: 1.5066 (1.5464) loss_classifier: 0.0502 (0.0832) loss_box_reg: 0.0792 (0.0923) loss_objectness: 0.0121 (0.0249) loss_rpn_box_reg: 0.0112 (0.0163) loss_da_image: 0.6796 (0.6668) loss_da_instance: 0.6672 (0.6560) loss_da_consistency: 0.0046 (0.0069) time: 0.8293 (0.8355) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:12:17,286 maskrcnn_benchmark.trainer INFO: eta: 9:46:47 iter: 27860 loss: 1.5122 (1.5464) loss_classifier: 0.0536 (0.0831) loss_box_reg: 0.0778 (0.0923) loss_objectness: 0.0126 (0.0249) loss_rpn_box_reg: 0.0121 (0.0163) loss_da_image: 0.6783 (0.6668) loss_da_instance: 0.6588 (0.6560) loss_da_consistency: 0.0063 (0.0069) time: 0.8274 (0.8355) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:12:33,920 maskrcnn_benchmark.trainer INFO: eta: 9:46:30 iter: 27880 loss: 1.4855 (1.5464) loss_classifier: 0.0538 (0.0831) loss_box_reg: 0.0674 (0.0923) loss_objectness: 0.0096 (0.0249) loss_rpn_box_reg: 0.0065 (0.0163) loss_da_image: 0.6724 (0.6668) loss_da_instance: 0.6536 (0.6560) loss_da_consistency: 0.0054 (0.0069) time: 0.8311 (0.8355) data: 0.0650 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:12:50,607 maskrcnn_benchmark.trainer INFO: eta: 9:46:14 iter: 27900 loss: 1.5579 (1.5464) loss_classifier: 0.0817 (0.0832) loss_box_reg: 0.0650 (0.0923) loss_objectness: 0.0201 (0.0249) loss_rpn_box_reg: 0.0154 (0.0163) loss_da_image: 0.6810 (0.6668) loss_da_instance: 0.6668 (0.6560) loss_da_consistency: 0.0066 (0.0069) time: 0.8341 (0.8355) data: 0.0649 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:13:07,294 maskrcnn_benchmark.trainer INFO: eta: 9:45:57 iter: 27920 loss: 1.4862 (1.5464) loss_classifier: 0.0509 (0.0831) loss_box_reg: 0.0553 (0.0923) loss_objectness: 0.0098 (0.0249) loss_rpn_box_reg: 0.0055 (0.0163) loss_da_image: 0.6780 (0.6668) loss_da_instance: 0.6620 (0.6561) loss_da_consistency: 0.0053 (0.0069) time: 0.8339 (0.8355) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:13:23,945 maskrcnn_benchmark.trainer INFO: eta: 9:45:40 iter: 27940 loss: 1.4480 (1.5464) loss_classifier: 0.0497 (0.0831) loss_box_reg: 0.0466 (0.0923) loss_objectness: 0.0073 (0.0249) loss_rpn_box_reg: 0.0025 (0.0163) loss_da_image: 0.6697 (0.6668) loss_da_instance: 0.6612 (0.6561) loss_da_consistency: 0.0047 (0.0069) time: 0.8320 (0.8355) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:13:40,591 maskrcnn_benchmark.trainer INFO: eta: 9:45:23 iter: 27960 loss: 1.5369 (1.5463) loss_classifier: 0.0727 (0.0831) loss_box_reg: 0.0959 (0.0923) loss_objectness: 0.0098 (0.0249) loss_rpn_box_reg: 0.0100 (0.0163) loss_da_image: 0.6725 (0.6668) loss_da_instance: 0.6498 (0.6561) loss_da_consistency: 0.0057 (0.0069) time: 0.8326 (0.8355) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:13:57,232 maskrcnn_benchmark.trainer INFO: eta: 9:45:06 iter: 27980 loss: 1.4850 (1.5463) loss_classifier: 0.0516 (0.0831) loss_box_reg: 0.0584 (0.0923) loss_objectness: 0.0102 (0.0249) loss_rpn_box_reg: 0.0071 (0.0163) loss_da_image: 0.6789 (0.6668) loss_da_instance: 0.6568 (0.6561) loss_da_consistency: 0.0063 (0.0069) time: 0.8318 (0.8355) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:14:13,897 maskrcnn_benchmark.trainer INFO: eta: 9:44:50 iter: 28000 loss: 1.5974 (1.5463) loss_classifier: 0.0835 (0.0831) loss_box_reg: 0.1079 (0.0923) loss_objectness: 0.0103 (0.0249) loss_rpn_box_reg: 0.0138 (0.0163) loss_da_image: 0.6671 (0.6668) loss_da_instance: 0.6543 (0.6561) loss_da_consistency: 0.0060 (0.0069) time: 0.8328 (0.8355) data: 0.0654 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:14:30,542 maskrcnn_benchmark.trainer INFO: eta: 9:44:33 iter: 28020 loss: 1.4789 (1.5463) loss_classifier: 0.0567 (0.0831) loss_box_reg: 0.0756 (0.0923) loss_objectness: 0.0082 (0.0249) loss_rpn_box_reg: 0.0086 (0.0163) loss_da_image: 0.6696 (0.6668) loss_da_instance: 0.6536 (0.6561) loss_da_consistency: 0.0062 (0.0069) time: 0.8315 (0.8355) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:14:47,159 maskrcnn_benchmark.trainer INFO: eta: 9:44:16 iter: 28040 loss: 1.4482 (1.5463) loss_classifier: 0.0350 (0.0831) loss_box_reg: 0.0449 (0.0923) loss_objectness: 0.0058 (0.0249) loss_rpn_box_reg: 0.0041 (0.0163) loss_da_image: 0.6751 (0.6669) loss_da_instance: 0.6663 (0.6561) loss_da_consistency: 0.0056 (0.0069) time: 0.8308 (0.8355) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:15:03,815 maskrcnn_benchmark.trainer INFO: eta: 9:43:59 iter: 28060 loss: 1.4537 (1.5462) loss_classifier: 0.0617 (0.0831) loss_box_reg: 0.0476 (0.0923) loss_objectness: 0.0089 (0.0248) loss_rpn_box_reg: 0.0108 (0.0163) loss_da_image: 0.6722 (0.6669) loss_da_instance: 0.6531 (0.6561) loss_da_consistency: 0.0071 (0.0069) time: 0.8320 (0.8355) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:15:20,463 maskrcnn_benchmark.trainer INFO: eta: 9:43:42 iter: 28080 loss: 1.4965 (1.5462) loss_classifier: 0.0540 (0.0831) loss_box_reg: 0.0612 (0.0922) loss_objectness: 0.0132 (0.0248) loss_rpn_box_reg: 0.0063 (0.0163) loss_da_image: 0.6786 (0.6669) loss_da_instance: 0.6704 (0.6561) loss_da_consistency: 0.0065 (0.0069) time: 0.8313 (0.8355) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:15:37,122 maskrcnn_benchmark.trainer INFO: eta: 9:43:26 iter: 28100 loss: 1.4644 (1.5462) loss_classifier: 0.0418 (0.0830) loss_box_reg: 0.0531 (0.0922) loss_objectness: 0.0137 (0.0248) loss_rpn_box_reg: 0.0055 (0.0163) loss_da_image: 0.6786 (0.6669) loss_da_instance: 0.6589 (0.6561) loss_da_consistency: 0.0050 (0.0069) time: 0.8312 (0.8355) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:15:53,789 maskrcnn_benchmark.trainer INFO: eta: 9:43:09 iter: 28120 loss: 1.4688 (1.5462) loss_classifier: 0.0519 (0.0830) loss_box_reg: 0.0634 (0.0922) loss_objectness: 0.0121 (0.0248) loss_rpn_box_reg: 0.0120 (0.0163) loss_da_image: 0.6811 (0.6669) loss_da_instance: 0.6584 (0.6561) loss_da_consistency: 0.0070 (0.0069) time: 0.8344 (0.8355) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:16:10,424 maskrcnn_benchmark.trainer INFO: eta: 9:42:52 iter: 28140 loss: 1.5167 (1.5461) loss_classifier: 0.0687 (0.0830) loss_box_reg: 0.0591 (0.0922) loss_objectness: 0.0092 (0.0248) loss_rpn_box_reg: 0.0086 (0.0163) loss_da_image: 0.6713 (0.6669) loss_da_instance: 0.6659 (0.6561) loss_da_consistency: 0.0063 (0.0069) time: 0.8321 (0.8355) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:16:27,080 maskrcnn_benchmark.trainer INFO: eta: 9:42:35 iter: 28160 loss: 1.4972 (1.5461) loss_classifier: 0.0477 (0.0830) loss_box_reg: 0.0763 (0.0922) loss_objectness: 0.0092 (0.0248) loss_rpn_box_reg: 0.0084 (0.0163) loss_da_image: 0.6701 (0.6669) loss_da_instance: 0.6622 (0.6561) loss_da_consistency: 0.0063 (0.0069) time: 0.8332 (0.8355) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:16:43,737 maskrcnn_benchmark.trainer INFO: eta: 9:42:18 iter: 28180 loss: 1.5633 (1.5461) loss_classifier: 0.0741 (0.0830) loss_box_reg: 0.0619 (0.0922) loss_objectness: 0.0098 (0.0248) loss_rpn_box_reg: 0.0107 (0.0163) loss_da_image: 0.6699 (0.6669) loss_da_instance: 0.6640 (0.6561) loss_da_consistency: 0.0047 (0.0069) time: 0.8329 (0.8355) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:17:00,406 maskrcnn_benchmark.trainer INFO: eta: 9:42:02 iter: 28200 loss: 1.4740 (1.5461) loss_classifier: 0.0531 (0.0830) loss_box_reg: 0.0641 (0.0922) loss_objectness: 0.0114 (0.0248) loss_rpn_box_reg: 0.0066 (0.0163) loss_da_image: 0.6714 (0.6669) loss_da_instance: 0.6633 (0.6561) loss_da_consistency: 0.0054 (0.0069) time: 0.8332 (0.8355) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:17:17,040 maskrcnn_benchmark.trainer INFO: eta: 9:41:45 iter: 28220 loss: 1.4528 (1.5460) loss_classifier: 0.0511 (0.0830) loss_box_reg: 0.0529 (0.0922) loss_objectness: 0.0053 (0.0248) loss_rpn_box_reg: 0.0049 (0.0163) loss_da_image: 0.6698 (0.6669) loss_da_instance: 0.6543 (0.6561) loss_da_consistency: 0.0053 (0.0069) time: 0.8321 (0.8355) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:17:33,719 maskrcnn_benchmark.trainer INFO: eta: 9:41:28 iter: 28240 loss: 1.5202 (1.5460) loss_classifier: 0.0693 (0.0830) loss_box_reg: 0.0806 (0.0922) loss_objectness: 0.0071 (0.0248) loss_rpn_box_reg: 0.0055 (0.0163) loss_da_image: 0.6727 (0.6669) loss_da_instance: 0.6550 (0.6561) loss_da_consistency: 0.0067 (0.0069) time: 0.8332 (0.8355) data: 0.0649 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:17:50,365 maskrcnn_benchmark.trainer INFO: eta: 9:41:11 iter: 28260 loss: 1.4540 (1.5460) loss_classifier: 0.0320 (0.0829) loss_box_reg: 0.0560 (0.0921) loss_objectness: 0.0047 (0.0248) loss_rpn_box_reg: 0.0067 (0.0163) loss_da_image: 0.6723 (0.6669) loss_da_instance: 0.6770 (0.6561) loss_da_consistency: 0.0052 (0.0069) time: 0.8325 (0.8355) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:18:07,023 maskrcnn_benchmark.trainer INFO: eta: 9:40:55 iter: 28280 loss: 1.4457 (1.5459) loss_classifier: 0.0525 (0.0829) loss_box_reg: 0.0416 (0.0921) loss_objectness: 0.0069 (0.0248) loss_rpn_box_reg: 0.0043 (0.0162) loss_da_image: 0.6711 (0.6669) loss_da_instance: 0.6636 (0.6561) loss_da_consistency: 0.0060 (0.0069) time: 0.8331 (0.8355) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:18:23,707 maskrcnn_benchmark.trainer INFO: eta: 9:40:38 iter: 28300 loss: 1.4647 (1.5459) loss_classifier: 0.0478 (0.0829) loss_box_reg: 0.0374 (0.0921) loss_objectness: 0.0135 (0.0248) loss_rpn_box_reg: 0.0082 (0.0163) loss_da_image: 0.6737 (0.6669) loss_da_instance: 0.6533 (0.6561) loss_da_consistency: 0.0053 (0.0069) time: 0.8354 (0.8355) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:18:40,396 maskrcnn_benchmark.trainer INFO: eta: 9:40:21 iter: 28320 loss: 1.4855 (1.5459) loss_classifier: 0.0569 (0.0829) loss_box_reg: 0.0596 (0.0921) loss_objectness: 0.0141 (0.0248) loss_rpn_box_reg: 0.0082 (0.0162) loss_da_image: 0.6727 (0.6669) loss_da_instance: 0.6601 (0.6561) loss_da_consistency: 0.0055 (0.0069) time: 0.8333 (0.8354) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:18:57,028 maskrcnn_benchmark.trainer INFO: eta: 9:40:04 iter: 28340 loss: 1.4696 (1.5458) loss_classifier: 0.0476 (0.0829) loss_box_reg: 0.0751 (0.0921) loss_objectness: 0.0056 (0.0247) loss_rpn_box_reg: 0.0065 (0.0162) loss_da_image: 0.6727 (0.6669) loss_da_instance: 0.6534 (0.6561) loss_da_consistency: 0.0063 (0.0069) time: 0.8313 (0.8354) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:19:13,680 maskrcnn_benchmark.trainer INFO: eta: 9:39:47 iter: 28360 loss: 1.4867 (1.5458) loss_classifier: 0.0486 (0.0829) loss_box_reg: 0.0506 (0.0921) loss_objectness: 0.0104 (0.0247) loss_rpn_box_reg: 0.0089 (0.0162) loss_da_image: 0.6810 (0.6669) loss_da_instance: 0.6671 (0.6561) loss_da_consistency: 0.0047 (0.0069) time: 0.8322 (0.8354) data: 0.0653 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:19:30,343 maskrcnn_benchmark.trainer INFO: eta: 9:39:31 iter: 28380 loss: 1.4879 (1.5458) loss_classifier: 0.0581 (0.0828) loss_box_reg: 0.0385 (0.0920) loss_objectness: 0.0063 (0.0247) loss_rpn_box_reg: 0.0068 (0.0162) loss_da_image: 0.6720 (0.6669) loss_da_instance: 0.6709 (0.6562) loss_da_consistency: 0.0046 (0.0069) time: 0.8333 (0.8354) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:19:46,967 maskrcnn_benchmark.trainer INFO: eta: 9:39:14 iter: 28400 loss: 1.4456 (1.5457) loss_classifier: 0.0322 (0.0828) loss_box_reg: 0.0437 (0.0920) loss_objectness: 0.0060 (0.0247) loss_rpn_box_reg: 0.0061 (0.0162) loss_da_image: 0.6774 (0.6669) loss_da_instance: 0.6625 (0.6562) loss_da_consistency: 0.0045 (0.0068) time: 0.8306 (0.8354) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:20:03,616 maskrcnn_benchmark.trainer INFO: eta: 9:38:57 iter: 28420 loss: 1.5301 (1.5457) loss_classifier: 0.0524 (0.0828) loss_box_reg: 0.0822 (0.0920) loss_objectness: 0.0086 (0.0247) loss_rpn_box_reg: 0.0050 (0.0162) loss_da_image: 0.6789 (0.6669) loss_da_instance: 0.6690 (0.6562) loss_da_consistency: 0.0057 (0.0068) time: 0.8322 (0.8354) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:20:20,308 maskrcnn_benchmark.trainer INFO: eta: 9:38:40 iter: 28440 loss: 1.5042 (1.5457) loss_classifier: 0.0612 (0.0828) loss_box_reg: 0.0598 (0.0920) loss_objectness: 0.0099 (0.0247) loss_rpn_box_reg: 0.0093 (0.0162) loss_da_image: 0.6710 (0.6669) loss_da_instance: 0.6625 (0.6562) loss_da_consistency: 0.0057 (0.0068) time: 0.8343 (0.8354) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:20:36,917 maskrcnn_benchmark.trainer INFO: eta: 9:38:23 iter: 28460 loss: 1.4680 (1.5457) loss_classifier: 0.0470 (0.0828) loss_box_reg: 0.0546 (0.0920) loss_objectness: 0.0105 (0.0247) loss_rpn_box_reg: 0.0075 (0.0162) loss_da_image: 0.6646 (0.6669) loss_da_instance: 0.6626 (0.6562) loss_da_consistency: 0.0055 (0.0068) time: 0.8294 (0.8354) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:20:53,505 maskrcnn_benchmark.trainer INFO: eta: 9:38:07 iter: 28480 loss: 1.4864 (1.5456) loss_classifier: 0.0505 (0.0828) loss_box_reg: 0.0638 (0.0920) loss_objectness: 0.0066 (0.0247) loss_rpn_box_reg: 0.0055 (0.0162) loss_da_image: 0.6805 (0.6670) loss_da_instance: 0.6686 (0.6562) loss_da_consistency: 0.0055 (0.0068) time: 0.8290 (0.8354) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:21:10,171 maskrcnn_benchmark.trainer INFO: eta: 9:37:50 iter: 28500 loss: 1.5199 (1.5456) loss_classifier: 0.0742 (0.0828) loss_box_reg: 0.0915 (0.0920) loss_objectness: 0.0081 (0.0247) loss_rpn_box_reg: 0.0104 (0.0162) loss_da_image: 0.6754 (0.6670) loss_da_instance: 0.6637 (0.6562) loss_da_consistency: 0.0071 (0.0068) time: 0.8323 (0.8354) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:21:26,810 maskrcnn_benchmark.trainer INFO: eta: 9:37:33 iter: 28520 loss: 1.4794 (1.5456) loss_classifier: 0.0552 (0.0828) loss_box_reg: 0.0719 (0.0920) loss_objectness: 0.0084 (0.0247) loss_rpn_box_reg: 0.0083 (0.0162) loss_da_image: 0.6770 (0.6670) loss_da_instance: 0.6592 (0.6562) loss_da_consistency: 0.0056 (0.0068) time: 0.8323 (0.8354) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:21:43,446 maskrcnn_benchmark.trainer INFO: eta: 9:37:16 iter: 28540 loss: 1.5129 (1.5456) loss_classifier: 0.0694 (0.0827) loss_box_reg: 0.0703 (0.0920) loss_objectness: 0.0167 (0.0247) loss_rpn_box_reg: 0.0116 (0.0162) loss_da_image: 0.6737 (0.6670) loss_da_instance: 0.6656 (0.6562) loss_da_consistency: 0.0059 (0.0068) time: 0.8317 (0.8354) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:22:00,091 maskrcnn_benchmark.trainer INFO: eta: 9:36:59 iter: 28560 loss: 1.4911 (1.5456) loss_classifier: 0.0648 (0.0827) loss_box_reg: 0.0660 (0.0920) loss_objectness: 0.0117 (0.0247) loss_rpn_box_reg: 0.0077 (0.0162) loss_da_image: 0.6654 (0.6670) loss_da_instance: 0.6568 (0.6562) loss_da_consistency: 0.0055 (0.0068) time: 0.8294 (0.8354) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:22:16,706 maskrcnn_benchmark.trainer INFO: eta: 9:36:43 iter: 28580 loss: 1.5248 (1.5456) loss_classifier: 0.0523 (0.0827) loss_box_reg: 0.0788 (0.0919) loss_objectness: 0.0108 (0.0247) loss_rpn_box_reg: 0.0128 (0.0162) loss_da_image: 0.6833 (0.6670) loss_da_instance: 0.6665 (0.6562) loss_da_consistency: 0.0047 (0.0068) time: 0.8311 (0.8354) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:22:33,334 maskrcnn_benchmark.trainer INFO: eta: 9:36:26 iter: 28600 loss: 1.4951 (1.5456) loss_classifier: 0.0592 (0.0827) loss_box_reg: 0.0743 (0.0919) loss_objectness: 0.0069 (0.0247) loss_rpn_box_reg: 0.0100 (0.0162) loss_da_image: 0.6779 (0.6670) loss_da_instance: 0.6615 (0.6562) loss_da_consistency: 0.0050 (0.0068) time: 0.8309 (0.8354) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:22:49,966 maskrcnn_benchmark.trainer INFO: eta: 9:36:09 iter: 28620 loss: 1.4582 (1.5455) loss_classifier: 0.0409 (0.0827) loss_box_reg: 0.0469 (0.0919) loss_objectness: 0.0086 (0.0247) loss_rpn_box_reg: 0.0035 (0.0162) loss_da_image: 0.6710 (0.6670) loss_da_instance: 0.6611 (0.6562) loss_da_consistency: 0.0057 (0.0068) time: 0.8309 (0.8354) data: 0.0619 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:23:06,557 maskrcnn_benchmark.trainer INFO: eta: 9:35:52 iter: 28640 loss: 1.4792 (1.5455) loss_classifier: 0.0616 (0.0827) loss_box_reg: 0.0599 (0.0919) loss_objectness: 0.0104 (0.0246) loss_rpn_box_reg: 0.0066 (0.0162) loss_da_image: 0.6733 (0.6670) loss_da_instance: 0.6590 (0.6562) loss_da_consistency: 0.0046 (0.0068) time: 0.8289 (0.8354) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:23:23,168 maskrcnn_benchmark.trainer INFO: eta: 9:35:35 iter: 28660 loss: 1.4546 (1.5455) loss_classifier: 0.0401 (0.0827) loss_box_reg: 0.0635 (0.0919) loss_objectness: 0.0087 (0.0246) loss_rpn_box_reg: 0.0086 (0.0162) loss_da_image: 0.6677 (0.6670) loss_da_instance: 0.6622 (0.6562) loss_da_consistency: 0.0059 (0.0068) time: 0.8292 (0.8354) data: 0.0622 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:23:39,784 maskrcnn_benchmark.trainer INFO: eta: 9:35:18 iter: 28680 loss: 1.4839 (1.5454) loss_classifier: 0.0560 (0.0826) loss_box_reg: 0.0435 (0.0919) loss_objectness: 0.0046 (0.0246) loss_rpn_box_reg: 0.0056 (0.0162) loss_da_image: 0.6699 (0.6670) loss_da_instance: 0.6642 (0.6562) loss_da_consistency: 0.0061 (0.0068) time: 0.8282 (0.8354) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:23:56,425 maskrcnn_benchmark.trainer INFO: eta: 9:35:01 iter: 28700 loss: 1.5191 (1.5454) loss_classifier: 0.0659 (0.0826) loss_box_reg: 0.0692 (0.0919) loss_objectness: 0.0077 (0.0246) loss_rpn_box_reg: 0.0057 (0.0162) loss_da_image: 0.6822 (0.6670) loss_da_instance: 0.6568 (0.6562) loss_da_consistency: 0.0064 (0.0068) time: 0.8315 (0.8354) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:24:13,063 maskrcnn_benchmark.trainer INFO: eta: 9:34:45 iter: 28720 loss: 1.4946 (1.5454) loss_classifier: 0.0607 (0.0826) loss_box_reg: 0.0699 (0.0918) loss_objectness: 0.0097 (0.0246) loss_rpn_box_reg: 0.0067 (0.0162) loss_da_image: 0.6799 (0.6670) loss_da_instance: 0.6692 (0.6562) loss_da_consistency: 0.0054 (0.0068) time: 0.8317 (0.8354) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:24:29,683 maskrcnn_benchmark.trainer INFO: eta: 9:34:28 iter: 28740 loss: 1.4790 (1.5453) loss_classifier: 0.0623 (0.0826) loss_box_reg: 0.0656 (0.0918) loss_objectness: 0.0115 (0.0246) loss_rpn_box_reg: 0.0091 (0.0162) loss_da_image: 0.6774 (0.6670) loss_da_instance: 0.6638 (0.6562) loss_da_consistency: 0.0053 (0.0068) time: 0.8296 (0.8354) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:24:46,311 maskrcnn_benchmark.trainer INFO: eta: 9:34:11 iter: 28760 loss: 1.4932 (1.5453) loss_classifier: 0.0549 (0.0826) loss_box_reg: 0.0648 (0.0918) loss_objectness: 0.0120 (0.0246) loss_rpn_box_reg: 0.0072 (0.0162) loss_da_image: 0.6767 (0.6670) loss_da_instance: 0.6644 (0.6562) loss_da_consistency: 0.0056 (0.0068) time: 0.8315 (0.8354) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:25:02,940 maskrcnn_benchmark.trainer INFO: eta: 9:33:54 iter: 28780 loss: 1.5230 (1.5453) loss_classifier: 0.0787 (0.0826) loss_box_reg: 0.0786 (0.0918) loss_objectness: 0.0182 (0.0246) loss_rpn_box_reg: 0.0119 (0.0162) loss_da_image: 0.6657 (0.6670) loss_da_instance: 0.6599 (0.6563) loss_da_consistency: 0.0054 (0.0068) time: 0.8299 (0.8354) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:25:19,592 maskrcnn_benchmark.trainer INFO: eta: 9:33:37 iter: 28800 loss: 1.4866 (1.5453) loss_classifier: 0.0509 (0.0826) loss_box_reg: 0.0796 (0.0918) loss_objectness: 0.0069 (0.0246) loss_rpn_box_reg: 0.0079 (0.0162) loss_da_image: 0.6702 (0.6670) loss_da_instance: 0.6593 (0.6563) loss_da_consistency: 0.0055 (0.0068) time: 0.8317 (0.8354) data: 0.0615 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:25:36,243 maskrcnn_benchmark.trainer INFO: eta: 9:33:21 iter: 28820 loss: 1.4800 (1.5453) loss_classifier: 0.0661 (0.0826) loss_box_reg: 0.0531 (0.0918) loss_objectness: 0.0073 (0.0246) loss_rpn_box_reg: 0.0052 (0.0162) loss_da_image: 0.6707 (0.6670) loss_da_instance: 0.6704 (0.6563) loss_da_consistency: 0.0046 (0.0068) time: 0.8331 (0.8354) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:25:52,892 maskrcnn_benchmark.trainer INFO: eta: 9:33:04 iter: 28840 loss: 1.4399 (1.5452) loss_classifier: 0.0325 (0.0825) loss_box_reg: 0.0294 (0.0918) loss_objectness: 0.0079 (0.0246) loss_rpn_box_reg: 0.0028 (0.0162) loss_da_image: 0.6786 (0.6670) loss_da_instance: 0.6634 (0.6563) loss_da_consistency: 0.0053 (0.0068) time: 0.8340 (0.8354) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:26:09,566 maskrcnn_benchmark.trainer INFO: eta: 9:32:47 iter: 28860 loss: 1.4804 (1.5452) loss_classifier: 0.0505 (0.0825) loss_box_reg: 0.0672 (0.0918) loss_objectness: 0.0063 (0.0246) loss_rpn_box_reg: 0.0090 (0.0162) loss_da_image: 0.6750 (0.6671) loss_da_instance: 0.6647 (0.6563) loss_da_consistency: 0.0057 (0.0068) time: 0.8349 (0.8354) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:26:26,246 maskrcnn_benchmark.trainer INFO: eta: 9:32:30 iter: 28880 loss: 1.4997 (1.5452) loss_classifier: 0.0609 (0.0825) loss_box_reg: 0.0650 (0.0917) loss_objectness: 0.0067 (0.0246) loss_rpn_box_reg: 0.0067 (0.0162) loss_da_image: 0.6746 (0.6671) loss_da_instance: 0.6585 (0.6563) loss_da_consistency: 0.0056 (0.0068) time: 0.8320 (0.8354) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:26:42,912 maskrcnn_benchmark.trainer INFO: eta: 9:32:14 iter: 28900 loss: 1.4962 (1.5452) loss_classifier: 0.0597 (0.0825) loss_box_reg: 0.0701 (0.0917) loss_objectness: 0.0158 (0.0246) loss_rpn_box_reg: 0.0096 (0.0162) loss_da_image: 0.6765 (0.6671) loss_da_instance: 0.6537 (0.6563) loss_da_consistency: 0.0059 (0.0068) time: 0.8335 (0.8354) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:26:59,566 maskrcnn_benchmark.trainer INFO: eta: 9:31:57 iter: 28920 loss: 1.5021 (1.5451) loss_classifier: 0.0686 (0.0825) loss_box_reg: 0.0698 (0.0917) loss_objectness: 0.0086 (0.0246) loss_rpn_box_reg: 0.0077 (0.0162) loss_da_image: 0.6721 (0.6671) loss_da_instance: 0.6605 (0.6563) loss_da_consistency: 0.0059 (0.0068) time: 0.8320 (0.8354) data: 0.0650 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:27:16,221 maskrcnn_benchmark.trainer INFO: eta: 9:31:40 iter: 28940 loss: 1.4509 (1.5451) loss_classifier: 0.0624 (0.0825) loss_box_reg: 0.0519 (0.0917) loss_objectness: 0.0095 (0.0245) loss_rpn_box_reg: 0.0072 (0.0162) loss_da_image: 0.6693 (0.6671) loss_da_instance: 0.6588 (0.6563) loss_da_consistency: 0.0058 (0.0068) time: 0.8322 (0.8354) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:27:32,895 maskrcnn_benchmark.trainer INFO: eta: 9:31:23 iter: 28960 loss: 1.4658 (1.5451) loss_classifier: 0.0680 (0.0825) loss_box_reg: 0.0395 (0.0917) loss_objectness: 0.0106 (0.0245) loss_rpn_box_reg: 0.0073 (0.0162) loss_da_image: 0.6744 (0.6671) loss_da_instance: 0.6622 (0.6563) loss_da_consistency: 0.0059 (0.0068) time: 0.8345 (0.8354) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:27:49,577 maskrcnn_benchmark.trainer INFO: eta: 9:31:06 iter: 28980 loss: 1.4898 (1.5450) loss_classifier: 0.0498 (0.0825) loss_box_reg: 0.0527 (0.0917) loss_objectness: 0.0101 (0.0245) loss_rpn_box_reg: 0.0071 (0.0162) loss_da_image: 0.6781 (0.6671) loss_da_instance: 0.6650 (0.6563) loss_da_consistency: 0.0058 (0.0068) time: 0.8326 (0.8354) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:28:06,265 maskrcnn_benchmark.trainer INFO: eta: 9:30:50 iter: 29000 loss: 1.4551 (1.5450) loss_classifier: 0.0479 (0.0824) loss_box_reg: 0.0476 (0.0917) loss_objectness: 0.0071 (0.0245) loss_rpn_box_reg: 0.0033 (0.0162) loss_da_image: 0.6717 (0.6671) loss_da_instance: 0.6728 (0.6563) loss_da_consistency: 0.0051 (0.0068) time: 0.8329 (0.8354) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:28:22,969 maskrcnn_benchmark.trainer INFO: eta: 9:30:33 iter: 29020 loss: 1.4635 (1.5450) loss_classifier: 0.0571 (0.0824) loss_box_reg: 0.0569 (0.0917) loss_objectness: 0.0075 (0.0245) loss_rpn_box_reg: 0.0056 (0.0162) loss_da_image: 0.6668 (0.6671) loss_da_instance: 0.6649 (0.6563) loss_da_consistency: 0.0056 (0.0068) time: 0.8351 (0.8354) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:28:39,655 maskrcnn_benchmark.trainer INFO: eta: 9:30:16 iter: 29040 loss: 1.4498 (1.5449) loss_classifier: 0.0309 (0.0824) loss_box_reg: 0.0449 (0.0916) loss_objectness: 0.0080 (0.0245) loss_rpn_box_reg: 0.0043 (0.0162) loss_da_image: 0.6702 (0.6671) loss_da_instance: 0.6729 (0.6563) loss_da_consistency: 0.0054 (0.0068) time: 0.8339 (0.8354) data: 0.0616 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:28:56,331 maskrcnn_benchmark.trainer INFO: eta: 9:30:00 iter: 29060 loss: 1.4875 (1.5449) loss_classifier: 0.0632 (0.0824) loss_box_reg: 0.0698 (0.0916) loss_objectness: 0.0117 (0.0245) loss_rpn_box_reg: 0.0079 (0.0162) loss_da_image: 0.6771 (0.6671) loss_da_instance: 0.6533 (0.6563) loss_da_consistency: 0.0054 (0.0068) time: 0.8344 (0.8354) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:29:13,066 maskrcnn_benchmark.trainer INFO: eta: 9:29:43 iter: 29080 loss: 1.4600 (1.5449) loss_classifier: 0.0531 (0.0824) loss_box_reg: 0.0507 (0.0916) loss_objectness: 0.0073 (0.0245) loss_rpn_box_reg: 0.0074 (0.0161) loss_da_image: 0.6748 (0.6671) loss_da_instance: 0.6612 (0.6563) loss_da_consistency: 0.0055 (0.0068) time: 0.8358 (0.8354) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:29:29,814 maskrcnn_benchmark.trainer INFO: eta: 9:29:26 iter: 29100 loss: 1.4688 (1.5448) loss_classifier: 0.0564 (0.0824) loss_box_reg: 0.0578 (0.0916) loss_objectness: 0.0092 (0.0245) loss_rpn_box_reg: 0.0067 (0.0161) loss_da_image: 0.6673 (0.6671) loss_da_instance: 0.6560 (0.6563) loss_da_consistency: 0.0055 (0.0068) time: 0.8369 (0.8354) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:29:46,563 maskrcnn_benchmark.trainer INFO: eta: 9:29:10 iter: 29120 loss: 1.4909 (1.5448) loss_classifier: 0.0654 (0.0824) loss_box_reg: 0.0664 (0.0916) loss_objectness: 0.0065 (0.0245) loss_rpn_box_reg: 0.0064 (0.0161) loss_da_image: 0.6735 (0.6671) loss_da_instance: 0.6465 (0.6563) loss_da_consistency: 0.0054 (0.0068) time: 0.8364 (0.8354) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:30:03,289 maskrcnn_benchmark.trainer INFO: eta: 9:28:53 iter: 29140 loss: 1.4223 (1.5448) loss_classifier: 0.0446 (0.0823) loss_box_reg: 0.0682 (0.0915) loss_objectness: 0.0085 (0.0245) loss_rpn_box_reg: 0.0046 (0.0161) loss_da_image: 0.6636 (0.6671) loss_da_instance: 0.6484 (0.6563) loss_da_consistency: 0.0064 (0.0068) time: 0.8372 (0.8354) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:30:20,023 maskrcnn_benchmark.trainer INFO: eta: 9:28:36 iter: 29160 loss: 1.4994 (1.5447) loss_classifier: 0.0520 (0.0823) loss_box_reg: 0.0793 (0.0915) loss_objectness: 0.0129 (0.0245) loss_rpn_box_reg: 0.0101 (0.0161) loss_da_image: 0.6665 (0.6671) loss_da_instance: 0.6593 (0.6563) loss_da_consistency: 0.0055 (0.0068) time: 0.8371 (0.8354) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:30:36,727 maskrcnn_benchmark.trainer INFO: eta: 9:28:20 iter: 29180 loss: 1.4921 (1.5447) loss_classifier: 0.0694 (0.0823) loss_box_reg: 0.0590 (0.0915) loss_objectness: 0.0168 (0.0245) loss_rpn_box_reg: 0.0119 (0.0161) loss_da_image: 0.6676 (0.6671) loss_da_instance: 0.6523 (0.6563) loss_da_consistency: 0.0061 (0.0068) time: 0.8344 (0.8354) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:30:53,460 maskrcnn_benchmark.trainer INFO: eta: 9:28:03 iter: 29200 loss: 1.5050 (1.5447) loss_classifier: 0.0543 (0.0823) loss_box_reg: 0.0759 (0.0915) loss_objectness: 0.0117 (0.0245) loss_rpn_box_reg: 0.0085 (0.0161) loss_da_image: 0.6729 (0.6671) loss_da_instance: 0.6551 (0.6564) loss_da_consistency: 0.0057 (0.0068) time: 0.8368 (0.8354) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:31:10,166 maskrcnn_benchmark.trainer INFO: eta: 9:27:46 iter: 29220 loss: 1.4970 (1.5447) loss_classifier: 0.0499 (0.0823) loss_box_reg: 0.0676 (0.0915) loss_objectness: 0.0106 (0.0244) loss_rpn_box_reg: 0.0091 (0.0161) loss_da_image: 0.6768 (0.6671) loss_da_instance: 0.6722 (0.6564) loss_da_consistency: 0.0044 (0.0068) time: 0.8341 (0.8354) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:31:26,880 maskrcnn_benchmark.trainer INFO: eta: 9:27:29 iter: 29240 loss: 1.5343 (1.5447) loss_classifier: 0.0780 (0.0823) loss_box_reg: 0.0726 (0.0915) loss_objectness: 0.0132 (0.0244) loss_rpn_box_reg: 0.0161 (0.0161) loss_da_image: 0.6779 (0.6671) loss_da_instance: 0.6670 (0.6564) loss_da_consistency: 0.0055 (0.0068) time: 0.8362 (0.8354) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:31:43,617 maskrcnn_benchmark.trainer INFO: eta: 9:27:13 iter: 29260 loss: 1.5078 (1.5447) loss_classifier: 0.0597 (0.0823) loss_box_reg: 0.0723 (0.0915) loss_objectness: 0.0079 (0.0244) loss_rpn_box_reg: 0.0100 (0.0161) loss_da_image: 0.6776 (0.6671) loss_da_instance: 0.6575 (0.6564) loss_da_consistency: 0.0059 (0.0068) time: 0.8356 (0.8354) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:32:00,278 maskrcnn_benchmark.trainer INFO: eta: 9:26:56 iter: 29280 loss: 1.4498 (1.5446) loss_classifier: 0.0366 (0.0823) loss_box_reg: 0.0471 (0.0915) loss_objectness: 0.0119 (0.0244) loss_rpn_box_reg: 0.0066 (0.0161) loss_da_image: 0.6782 (0.6671) loss_da_instance: 0.6545 (0.6564) loss_da_consistency: 0.0056 (0.0068) time: 0.8316 (0.8354) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:32:16,935 maskrcnn_benchmark.trainer INFO: eta: 9:26:39 iter: 29300 loss: 1.5096 (1.5446) loss_classifier: 0.0522 (0.0822) loss_box_reg: 0.0636 (0.0915) loss_objectness: 0.0082 (0.0244) loss_rpn_box_reg: 0.0061 (0.0161) loss_da_image: 0.6791 (0.6672) loss_da_instance: 0.6572 (0.6564) loss_da_consistency: 0.0055 (0.0068) time: 0.8344 (0.8354) data: 0.0622 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:32:33,641 maskrcnn_benchmark.trainer INFO: eta: 9:26:23 iter: 29320 loss: 1.4812 (1.5446) loss_classifier: 0.0676 (0.0822) loss_box_reg: 0.0625 (0.0915) loss_objectness: 0.0070 (0.0244) loss_rpn_box_reg: 0.0071 (0.0161) loss_da_image: 0.6728 (0.6672) loss_da_instance: 0.6624 (0.6564) loss_da_consistency: 0.0060 (0.0068) time: 0.8352 (0.8354) data: 0.0622 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:32:50,331 maskrcnn_benchmark.trainer INFO: eta: 9:26:06 iter: 29340 loss: 1.5030 (1.5445) loss_classifier: 0.0488 (0.0822) loss_box_reg: 0.0677 (0.0914) loss_objectness: 0.0108 (0.0244) loss_rpn_box_reg: 0.0093 (0.0161) loss_da_image: 0.6791 (0.6672) loss_da_instance: 0.6523 (0.6564) loss_da_consistency: 0.0059 (0.0068) time: 0.8342 (0.8354) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:33:07,003 maskrcnn_benchmark.trainer INFO: eta: 9:25:49 iter: 29360 loss: 1.4458 (1.5445) loss_classifier: 0.0368 (0.0822) loss_box_reg: 0.0370 (0.0914) loss_objectness: 0.0085 (0.0244) loss_rpn_box_reg: 0.0032 (0.0161) loss_da_image: 0.6744 (0.6672) loss_da_instance: 0.6709 (0.6564) loss_da_consistency: 0.0050 (0.0068) time: 0.8342 (0.8354) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:33:23,648 maskrcnn_benchmark.trainer INFO: eta: 9:25:32 iter: 29380 loss: 1.4931 (1.5445) loss_classifier: 0.0475 (0.0822) loss_box_reg: 0.0643 (0.0914) loss_objectness: 0.0139 (0.0244) loss_rpn_box_reg: 0.0058 (0.0161) loss_da_image: 0.6769 (0.6672) loss_da_instance: 0.6608 (0.6564) loss_da_consistency: 0.0059 (0.0068) time: 0.8316 (0.8354) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:33:40,268 maskrcnn_benchmark.trainer INFO: eta: 9:25:15 iter: 29400 loss: 1.4708 (1.5445) loss_classifier: 0.0650 (0.0822) loss_box_reg: 0.0513 (0.0914) loss_objectness: 0.0088 (0.0244) loss_rpn_box_reg: 0.0137 (0.0161) loss_da_image: 0.6703 (0.6672) loss_da_instance: 0.6598 (0.6564) loss_da_consistency: 0.0059 (0.0068) time: 0.8306 (0.8354) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:33:56,882 maskrcnn_benchmark.trainer INFO: eta: 9:24:59 iter: 29420 loss: 1.4805 (1.5445) loss_classifier: 0.0510 (0.0822) loss_box_reg: 0.0591 (0.0914) loss_objectness: 0.0141 (0.0244) loss_rpn_box_reg: 0.0125 (0.0161) loss_da_image: 0.6737 (0.6672) loss_da_instance: 0.6696 (0.6564) loss_da_consistency: 0.0051 (0.0068) time: 0.8303 (0.8354) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:34:13,581 maskrcnn_benchmark.trainer INFO: eta: 9:24:42 iter: 29440 loss: 1.5041 (1.5445) loss_classifier: 0.0601 (0.0822) loss_box_reg: 0.0866 (0.0914) loss_objectness: 0.0089 (0.0244) loss_rpn_box_reg: 0.0059 (0.0161) loss_da_image: 0.6761 (0.6672) loss_da_instance: 0.6520 (0.6564) loss_da_consistency: 0.0060 (0.0068) time: 0.8358 (0.8354) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:34:30,263 maskrcnn_benchmark.trainer INFO: eta: 9:24:25 iter: 29460 loss: 1.5137 (1.5445) loss_classifier: 0.0711 (0.0822) loss_box_reg: 0.0808 (0.0914) loss_objectness: 0.0073 (0.0244) loss_rpn_box_reg: 0.0093 (0.0161) loss_da_image: 0.6800 (0.6672) loss_da_instance: 0.6560 (0.6564) loss_da_consistency: 0.0061 (0.0068) time: 0.8326 (0.8354) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:34:46,907 maskrcnn_benchmark.trainer INFO: eta: 9:24:08 iter: 29480 loss: 1.5198 (1.5445) loss_classifier: 0.0533 (0.0822) loss_box_reg: 0.0857 (0.0914) loss_objectness: 0.0087 (0.0244) loss_rpn_box_reg: 0.0081 (0.0161) loss_da_image: 0.6762 (0.6672) loss_da_instance: 0.6667 (0.6564) loss_da_consistency: 0.0054 (0.0068) time: 0.8321 (0.8354) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:35:03,553 maskrcnn_benchmark.trainer INFO: eta: 9:23:52 iter: 29500 loss: 1.4521 (1.5444) loss_classifier: 0.0465 (0.0822) loss_box_reg: 0.0596 (0.0914) loss_objectness: 0.0060 (0.0244) loss_rpn_box_reg: 0.0056 (0.0161) loss_da_image: 0.6816 (0.6672) loss_da_instance: 0.6658 (0.6564) loss_da_consistency: 0.0051 (0.0068) time: 0.8321 (0.8354) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:35:20,191 maskrcnn_benchmark.trainer INFO: eta: 9:23:35 iter: 29520 loss: 1.4842 (1.5444) loss_classifier: 0.0635 (0.0821) loss_box_reg: 0.0693 (0.0913) loss_objectness: 0.0080 (0.0244) loss_rpn_box_reg: 0.0063 (0.0161) loss_da_image: 0.6752 (0.6672) loss_da_instance: 0.6579 (0.6564) loss_da_consistency: 0.0066 (0.0068) time: 0.8322 (0.8354) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:35:36,831 maskrcnn_benchmark.trainer INFO: eta: 9:23:18 iter: 29540 loss: 1.4523 (1.5443) loss_classifier: 0.0419 (0.0821) loss_box_reg: 0.0344 (0.0913) loss_objectness: 0.0085 (0.0243) loss_rpn_box_reg: 0.0047 (0.0161) loss_da_image: 0.6748 (0.6672) loss_da_instance: 0.6613 (0.6564) loss_da_consistency: 0.0060 (0.0068) time: 0.8327 (0.8354) data: 0.0622 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:35:53,491 maskrcnn_benchmark.trainer INFO: eta: 9:23:01 iter: 29560 loss: 1.4988 (1.5443) loss_classifier: 0.0743 (0.0821) loss_box_reg: 0.0678 (0.0913) loss_objectness: 0.0108 (0.0243) loss_rpn_box_reg: 0.0066 (0.0161) loss_da_image: 0.6718 (0.6672) loss_da_instance: 0.6526 (0.6564) loss_da_consistency: 0.0057 (0.0068) time: 0.8318 (0.8354) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:36:10,132 maskrcnn_benchmark.trainer INFO: eta: 9:22:44 iter: 29580 loss: 1.5279 (1.5443) loss_classifier: 0.0686 (0.0821) loss_box_reg: 0.1002 (0.0913) loss_objectness: 0.0107 (0.0243) loss_rpn_box_reg: 0.0092 (0.0161) loss_da_image: 0.6802 (0.6672) loss_da_instance: 0.6539 (0.6564) loss_da_consistency: 0.0068 (0.0068) time: 0.8320 (0.8354) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:36:26,753 maskrcnn_benchmark.trainer INFO: eta: 9:22:28 iter: 29600 loss: 1.4866 (1.5443) loss_classifier: 0.0524 (0.0821) loss_box_reg: 0.0570 (0.0913) loss_objectness: 0.0115 (0.0243) loss_rpn_box_reg: 0.0096 (0.0161) loss_da_image: 0.6742 (0.6672) loss_da_instance: 0.6760 (0.6565) loss_da_consistency: 0.0056 (0.0068) time: 0.8304 (0.8353) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:36:43,378 maskrcnn_benchmark.trainer INFO: eta: 9:22:11 iter: 29620 loss: 1.4927 (1.5443) loss_classifier: 0.0656 (0.0821) loss_box_reg: 0.0720 (0.0913) loss_objectness: 0.0125 (0.0243) loss_rpn_box_reg: 0.0085 (0.0161) loss_da_image: 0.6742 (0.6672) loss_da_instance: 0.6545 (0.6565) loss_da_consistency: 0.0060 (0.0068) time: 0.8307 (0.8353) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:37:00,041 maskrcnn_benchmark.trainer INFO: eta: 9:21:54 iter: 29640 loss: 1.4953 (1.5443) loss_classifier: 0.0629 (0.0821) loss_box_reg: 0.0682 (0.0913) loss_objectness: 0.0118 (0.0243) loss_rpn_box_reg: 0.0085 (0.0161) loss_da_image: 0.6744 (0.6673) loss_da_instance: 0.6614 (0.6565) loss_da_consistency: 0.0060 (0.0068) time: 0.8323 (0.8353) data: 0.0645 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:37:16,661 maskrcnn_benchmark.trainer INFO: eta: 9:21:37 iter: 29660 loss: 1.4868 (1.5443) loss_classifier: 0.0516 (0.0821) loss_box_reg: 0.0462 (0.0913) loss_objectness: 0.0070 (0.0243) loss_rpn_box_reg: 0.0033 (0.0161) loss_da_image: 0.6719 (0.6673) loss_da_instance: 0.6630 (0.6565) loss_da_consistency: 0.0051 (0.0068) time: 0.8296 (0.8353) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:37:33,282 maskrcnn_benchmark.trainer INFO: eta: 9:21:20 iter: 29680 loss: 1.5297 (1.5443) loss_classifier: 0.0660 (0.0821) loss_box_reg: 0.0708 (0.0913) loss_objectness: 0.0143 (0.0243) loss_rpn_box_reg: 0.0128 (0.0161) loss_da_image: 0.6788 (0.6673) loss_da_instance: 0.6659 (0.6565) loss_da_consistency: 0.0046 (0.0068) time: 0.8304 (0.8353) data: 0.0644 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:37:49,899 maskrcnn_benchmark.trainer INFO: eta: 9:21:03 iter: 29700 loss: 1.4937 (1.5443) loss_classifier: 0.0609 (0.0821) loss_box_reg: 0.0627 (0.0913) loss_objectness: 0.0057 (0.0243) loss_rpn_box_reg: 0.0028 (0.0161) loss_da_image: 0.6779 (0.6673) loss_da_instance: 0.6709 (0.6565) loss_da_consistency: 0.0043 (0.0068) time: 0.8307 (0.8353) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:38:06,506 maskrcnn_benchmark.trainer INFO: eta: 9:20:47 iter: 29720 loss: 1.4342 (1.5442) loss_classifier: 0.0510 (0.0821) loss_box_reg: 0.0469 (0.0913) loss_objectness: 0.0075 (0.0243) loss_rpn_box_reg: 0.0082 (0.0161) loss_da_image: 0.6739 (0.6673) loss_da_instance: 0.6538 (0.6565) loss_da_consistency: 0.0045 (0.0068) time: 0.8304 (0.8353) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:38:23,151 maskrcnn_benchmark.trainer INFO: eta: 9:20:30 iter: 29740 loss: 1.5084 (1.5442) loss_classifier: 0.0715 (0.0821) loss_box_reg: 0.0494 (0.0912) loss_objectness: 0.0142 (0.0243) loss_rpn_box_reg: 0.0085 (0.0161) loss_da_image: 0.6750 (0.6673) loss_da_instance: 0.6741 (0.6565) loss_da_consistency: 0.0046 (0.0068) time: 0.8305 (0.8353) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:38:39,782 maskrcnn_benchmark.trainer INFO: eta: 9:20:13 iter: 29760 loss: 1.4602 (1.5442) loss_classifier: 0.0534 (0.0821) loss_box_reg: 0.0498 (0.0912) loss_objectness: 0.0117 (0.0243) loss_rpn_box_reg: 0.0090 (0.0161) loss_da_image: 0.6640 (0.6673) loss_da_instance: 0.6606 (0.6565) loss_da_consistency: 0.0064 (0.0068) time: 0.8311 (0.8353) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:38:56,371 maskrcnn_benchmark.trainer INFO: eta: 9:19:56 iter: 29780 loss: 1.4827 (1.5442) loss_classifier: 0.0608 (0.0820) loss_box_reg: 0.0612 (0.0912) loss_objectness: 0.0064 (0.0243) loss_rpn_box_reg: 0.0085 (0.0161) loss_da_image: 0.6712 (0.6673) loss_da_instance: 0.6630 (0.6565) loss_da_consistency: 0.0053 (0.0068) time: 0.8282 (0.8353) data: 0.0667 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:39:12,979 maskrcnn_benchmark.trainer INFO: eta: 9:19:39 iter: 29800 loss: 1.4728 (1.5441) loss_classifier: 0.0525 (0.0820) loss_box_reg: 0.0712 (0.0912) loss_objectness: 0.0098 (0.0243) loss_rpn_box_reg: 0.0076 (0.0161) loss_da_image: 0.6676 (0.6673) loss_da_instance: 0.6435 (0.6565) loss_da_consistency: 0.0063 (0.0068) time: 0.8287 (0.8353) data: 0.0679 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:39:29,547 maskrcnn_benchmark.trainer INFO: eta: 9:19:22 iter: 29820 loss: 1.4859 (1.5441) loss_classifier: 0.0493 (0.0820) loss_box_reg: 0.0732 (0.0912) loss_objectness: 0.0084 (0.0243) loss_rpn_box_reg: 0.0090 (0.0161) loss_da_image: 0.6747 (0.6673) loss_da_instance: 0.6543 (0.6565) loss_da_consistency: 0.0057 (0.0068) time: 0.8278 (0.8353) data: 0.0676 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:39:46,117 maskrcnn_benchmark.trainer INFO: eta: 9:19:06 iter: 29840 loss: 1.5006 (1.5441) loss_classifier: 0.0462 (0.0820) loss_box_reg: 0.0549 (0.0912) loss_objectness: 0.0081 (0.0243) loss_rpn_box_reg: 0.0044 (0.0160) loss_da_image: 0.6672 (0.6673) loss_da_instance: 0.6634 (0.6565) loss_da_consistency: 0.0057 (0.0068) time: 0.8289 (0.8353) data: 0.0673 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:40:02,667 maskrcnn_benchmark.trainer INFO: eta: 9:18:49 iter: 29860 loss: 1.4596 (1.5440) loss_classifier: 0.0433 (0.0820) loss_box_reg: 0.0539 (0.0912) loss_objectness: 0.0048 (0.0242) loss_rpn_box_reg: 0.0058 (0.0160) loss_da_image: 0.6797 (0.6673) loss_da_instance: 0.6714 (0.6565) loss_da_consistency: 0.0052 (0.0068) time: 0.8267 (0.8353) data: 0.0681 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:40:19,367 maskrcnn_benchmark.trainer INFO: eta: 9:18:32 iter: 29880 loss: 1.4484 (1.5440) loss_classifier: 0.0553 (0.0820) loss_box_reg: 0.0612 (0.0911) loss_objectness: 0.0121 (0.0242) loss_rpn_box_reg: 0.0065 (0.0160) loss_da_image: 0.6657 (0.6673) loss_da_instance: 0.6486 (0.6565) loss_da_consistency: 0.0065 (0.0068) time: 0.8349 (0.8353) data: 0.0647 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:40:36,006 maskrcnn_benchmark.trainer INFO: eta: 9:18:15 iter: 29900 loss: 1.4738 (1.5439) loss_classifier: 0.0488 (0.0819) loss_box_reg: 0.0608 (0.0911) loss_objectness: 0.0083 (0.0242) loss_rpn_box_reg: 0.0068 (0.0160) loss_da_image: 0.6783 (0.6673) loss_da_instance: 0.6677 (0.6565) loss_da_consistency: 0.0058 (0.0068) time: 0.8323 (0.8353) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:40:52,701 maskrcnn_benchmark.trainer INFO: eta: 9:17:58 iter: 29920 loss: 1.5048 (1.5439) loss_classifier: 0.0485 (0.0819) loss_box_reg: 0.0840 (0.0911) loss_objectness: 0.0095 (0.0242) loss_rpn_box_reg: 0.0114 (0.0160) loss_da_image: 0.6700 (0.6673) loss_da_instance: 0.6535 (0.6565) loss_da_consistency: 0.0067 (0.0068) time: 0.8341 (0.8353) data: 0.0643 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:41:09,278 maskrcnn_benchmark.trainer INFO: eta: 9:17:42 iter: 29940 loss: 1.4706 (1.5439) loss_classifier: 0.0499 (0.0819) loss_box_reg: 0.0465 (0.0911) loss_objectness: 0.0104 (0.0242) loss_rpn_box_reg: 0.0066 (0.0160) loss_da_image: 0.6752 (0.6673) loss_da_instance: 0.6680 (0.6565) loss_da_consistency: 0.0046 (0.0068) time: 0.8288 (0.8353) data: 0.0645 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:41:25,825 maskrcnn_benchmark.trainer INFO: eta: 9:17:25 iter: 29960 loss: 1.4855 (1.5439) loss_classifier: 0.0469 (0.0819) loss_box_reg: 0.0633 (0.0911) loss_objectness: 0.0113 (0.0242) loss_rpn_box_reg: 0.0106 (0.0160) loss_da_image: 0.6777 (0.6673) loss_da_instance: 0.6587 (0.6565) loss_da_consistency: 0.0052 (0.0068) time: 0.8274 (0.8353) data: 0.0673 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:41:42,438 maskrcnn_benchmark.trainer INFO: eta: 9:17:08 iter: 29980 loss: 1.4966 (1.5438) loss_classifier: 0.0910 (0.0819) loss_box_reg: 0.0540 (0.0911) loss_objectness: 0.0192 (0.0242) loss_rpn_box_reg: 0.0101 (0.0160) loss_da_image: 0.6611 (0.6673) loss_da_instance: 0.6608 (0.6565) loss_da_consistency: 0.0070 (0.0068) time: 0.8302 (0.8353) data: 0.0669 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:41:59,020 maskrcnn_benchmark.trainer INFO: eta: 9:16:51 iter: 30000 loss: 1.4391 (1.5438) loss_classifier: 0.0487 (0.0819) loss_box_reg: 0.0576 (0.0911) loss_objectness: 0.0096 (0.0242) loss_rpn_box_reg: 0.0070 (0.0160) loss_da_image: 0.6416 (0.6673) loss_da_instance: 0.6677 (0.6565) loss_da_consistency: 0.0075 (0.0068) time: 0.8300 (0.8353) data: 0.0687 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:41:59,021 maskrcnn_benchmark.utils.checkpoint INFO: Saving checkpoint to runs/sim10k-baseline/model_0030000.pth
2019-10-25 20:42:15,738 maskrcnn_benchmark.trainer INFO: eta: 9:16:34 iter: 30020 loss: 1.4775 (1.5438) loss_classifier: 0.0550 (0.0819) loss_box_reg: 0.0774 (0.0911) loss_objectness: 0.0098 (0.0242) loss_rpn_box_reg: 0.0050 (0.0160) loss_da_image: 0.6519 (0.6673) loss_da_instance: 0.6628 (0.6565) loss_da_consistency: 0.0062 (0.0068) time: 0.8279 (0.8353) data: 0.0683 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:42:32,326 maskrcnn_benchmark.trainer INFO: eta: 9:16:17 iter: 30040 loss: 1.4773 (1.5437) loss_classifier: 0.0682 (0.0819) loss_box_reg: 0.0746 (0.0911) loss_objectness: 0.0139 (0.0242) loss_rpn_box_reg: 0.0115 (0.0160) loss_da_image: 0.6499 (0.6673) loss_da_instance: 0.6539 (0.6565) loss_da_consistency: 0.0076 (0.0068) time: 0.8285 (0.8353) data: 0.0681 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:42:48,894 maskrcnn_benchmark.trainer INFO: eta: 9:16:00 iter: 30060 loss: 1.4874 (1.5437) loss_classifier: 0.0557 (0.0819) loss_box_reg: 0.0542 (0.0910) loss_objectness: 0.0080 (0.0242) loss_rpn_box_reg: 0.0072 (0.0160) loss_da_image: 0.6542 (0.6673) loss_da_instance: 0.6639 (0.6565) loss_da_consistency: 0.0060 (0.0068) time: 0.8290 (0.8353) data: 0.0670 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:43:05,449 maskrcnn_benchmark.trainer INFO: eta: 9:15:44 iter: 30080 loss: 1.4274 (1.5437) loss_classifier: 0.0334 (0.0818) loss_box_reg: 0.0364 (0.0910) loss_objectness: 0.0076 (0.0242) loss_rpn_box_reg: 0.0054 (0.0160) loss_da_image: 0.6650 (0.6673) loss_da_instance: 0.6651 (0.6566) loss_da_consistency: 0.0056 (0.0068) time: 0.8277 (0.8353) data: 0.0666 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:43:22,021 maskrcnn_benchmark.trainer INFO: eta: 9:15:27 iter: 30100 loss: 1.4261 (1.5436) loss_classifier: 0.0412 (0.0818) loss_box_reg: 0.0574 (0.0910) loss_objectness: 0.0053 (0.0242) loss_rpn_box_reg: 0.0046 (0.0160) loss_da_image: 0.6618 (0.6673) loss_da_instance: 0.6655 (0.6566) loss_da_consistency: 0.0060 (0.0068) time: 0.8278 (0.8353) data: 0.0680 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:43:38,581 maskrcnn_benchmark.trainer INFO: eta: 9:15:10 iter: 30120 loss: 1.4875 (1.5436) loss_classifier: 0.0487 (0.0818) loss_box_reg: 0.0733 (0.0910) loss_objectness: 0.0121 (0.0242) loss_rpn_box_reg: 0.0088 (0.0160) loss_da_image: 0.6602 (0.6673) loss_da_instance: 0.6687 (0.6566) loss_da_consistency: 0.0055 (0.0068) time: 0.8270 (0.8353) data: 0.0673 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:43:55,142 maskrcnn_benchmark.trainer INFO: eta: 9:14:53 iter: 30140 loss: 1.4643 (1.5435) loss_classifier: 0.0481 (0.0818) loss_box_reg: 0.0402 (0.0910) loss_objectness: 0.0102 (0.0242) loss_rpn_box_reg: 0.0063 (0.0160) loss_da_image: 0.6686 (0.6673) loss_da_instance: 0.6679 (0.6566) loss_da_consistency: 0.0057 (0.0068) time: 0.8272 (0.8353) data: 0.0681 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:44:11,734 maskrcnn_benchmark.trainer INFO: eta: 9:14:36 iter: 30160 loss: 1.4732 (1.5435) loss_classifier: 0.0508 (0.0818) loss_box_reg: 0.0641 (0.0910) loss_objectness: 0.0080 (0.0242) loss_rpn_box_reg: 0.0097 (0.0160) loss_da_image: 0.6662 (0.6673) loss_da_instance: 0.6502 (0.6566) loss_da_consistency: 0.0061 (0.0068) time: 0.8280 (0.8353) data: 0.0651 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:44:28,387 maskrcnn_benchmark.trainer INFO: eta: 9:14:19 iter: 30180 loss: 1.4741 (1.5435) loss_classifier: 0.0631 (0.0818) loss_box_reg: 0.0801 (0.0910) loss_objectness: 0.0116 (0.0242) loss_rpn_box_reg: 0.0114 (0.0160) loss_da_image: 0.6762 (0.6673) loss_da_instance: 0.6708 (0.6566) loss_da_consistency: 0.0052 (0.0068) time: 0.8324 (0.8353) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:44:45,001 maskrcnn_benchmark.trainer INFO: eta: 9:14:02 iter: 30200 loss: 1.4928 (1.5435) loss_classifier: 0.0717 (0.0818) loss_box_reg: 0.0650 (0.0909) loss_objectness: 0.0074 (0.0241) loss_rpn_box_reg: 0.0045 (0.0160) loss_da_image: 0.6657 (0.6673) loss_da_instance: 0.6646 (0.6566) loss_da_consistency: 0.0055 (0.0068) time: 0.8295 (0.8352) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:45:01,639 maskrcnn_benchmark.trainer INFO: eta: 9:13:46 iter: 30220 loss: 1.4736 (1.5435) loss_classifier: 0.0560 (0.0818) loss_box_reg: 0.0839 (0.0909) loss_objectness: 0.0105 (0.0241) loss_rpn_box_reg: 0.0098 (0.0160) loss_da_image: 0.6624 (0.6673) loss_da_instance: 0.6641 (0.6566) loss_da_consistency: 0.0053 (0.0068) time: 0.8303 (0.8352) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:45:18,230 maskrcnn_benchmark.trainer INFO: eta: 9:13:29 iter: 30240 loss: 1.5108 (1.5435) loss_classifier: 0.0633 (0.0817) loss_box_reg: 0.0820 (0.0909) loss_objectness: 0.0123 (0.0241) loss_rpn_box_reg: 0.0082 (0.0160) loss_da_image: 0.6728 (0.6673) loss_da_instance: 0.6594 (0.6566) loss_da_consistency: 0.0053 (0.0068) time: 0.8284 (0.8352) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:45:34,855 maskrcnn_benchmark.trainer INFO: eta: 9:13:12 iter: 30260 loss: 1.4968 (1.5434) loss_classifier: 0.0654 (0.0817) loss_box_reg: 0.0435 (0.0909) loss_objectness: 0.0155 (0.0241) loss_rpn_box_reg: 0.0085 (0.0160) loss_da_image: 0.6742 (0.6673) loss_da_instance: 0.6607 (0.6566) loss_da_consistency: 0.0057 (0.0068) time: 0.8310 (0.8352) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:45:51,442 maskrcnn_benchmark.trainer INFO: eta: 9:12:55 iter: 30280 loss: 1.4578 (1.5434) loss_classifier: 0.0508 (0.0817) loss_box_reg: 0.0507 (0.0909) loss_objectness: 0.0079 (0.0241) loss_rpn_box_reg: 0.0060 (0.0160) loss_da_image: 0.6675 (0.6673) loss_da_instance: 0.6510 (0.6566) loss_da_consistency: 0.0057 (0.0068) time: 0.8283 (0.8352) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:46:08,048 maskrcnn_benchmark.trainer INFO: eta: 9:12:38 iter: 30300 loss: 1.4633 (1.5434) loss_classifier: 0.0395 (0.0817) loss_box_reg: 0.0559 (0.0909) loss_objectness: 0.0070 (0.0241) loss_rpn_box_reg: 0.0053 (0.0160) loss_da_image: 0.6738 (0.6673) loss_da_instance: 0.6581 (0.6566) loss_da_consistency: 0.0050 (0.0068) time: 0.8298 (0.8352) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:46:24,674 maskrcnn_benchmark.trainer INFO: eta: 9:12:21 iter: 30320 loss: 1.5216 (1.5433) loss_classifier: 0.0606 (0.0817) loss_box_reg: 0.0812 (0.0909) loss_objectness: 0.0109 (0.0241) loss_rpn_box_reg: 0.0101 (0.0160) loss_da_image: 0.6777 (0.6673) loss_da_instance: 0.6691 (0.6566) loss_da_consistency: 0.0058 (0.0068) time: 0.8298 (0.8352) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:46:41,363 maskrcnn_benchmark.trainer INFO: eta: 9:12:05 iter: 30340 loss: 1.4581 (1.5433) loss_classifier: 0.0539 (0.0817) loss_box_reg: 0.0652 (0.0909) loss_objectness: 0.0063 (0.0241) loss_rpn_box_reg: 0.0072 (0.0160) loss_da_image: 0.6738 (0.6673) loss_da_instance: 0.6596 (0.6566) loss_da_consistency: 0.0058 (0.0068) time: 0.8314 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:46:58,009 maskrcnn_benchmark.trainer INFO: eta: 9:11:48 iter: 30360 loss: 1.4951 (1.5433) loss_classifier: 0.0471 (0.0817) loss_box_reg: 0.0534 (0.0909) loss_objectness: 0.0060 (0.0241) loss_rpn_box_reg: 0.0086 (0.0160) loss_da_image: 0.6708 (0.6673) loss_da_instance: 0.6608 (0.6566) loss_da_consistency: 0.0062 (0.0068) time: 0.8327 (0.8352) data: 0.0644 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:47:14,673 maskrcnn_benchmark.trainer INFO: eta: 9:11:31 iter: 30380 loss: 1.4440 (1.5433) loss_classifier: 0.0461 (0.0817) loss_box_reg: 0.0635 (0.0909) loss_objectness: 0.0066 (0.0241) loss_rpn_box_reg: 0.0077 (0.0160) loss_da_image: 0.6738 (0.6673) loss_da_instance: 0.6554 (0.6566) loss_da_consistency: 0.0059 (0.0068) time: 0.8329 (0.8352) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:47:31,370 maskrcnn_benchmark.trainer INFO: eta: 9:11:14 iter: 30400 loss: 1.5051 (1.5433) loss_classifier: 0.0752 (0.0816) loss_box_reg: 0.0717 (0.0909) loss_objectness: 0.0146 (0.0241) loss_rpn_box_reg: 0.0151 (0.0160) loss_da_image: 0.6745 (0.6673) loss_da_instance: 0.6577 (0.6566) loss_da_consistency: 0.0062 (0.0068) time: 0.8322 (0.8352) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:47:48,055 maskrcnn_benchmark.trainer INFO: eta: 9:10:58 iter: 30420 loss: 1.4479 (1.5432) loss_classifier: 0.0370 (0.0816) loss_box_reg: 0.0455 (0.0908) loss_objectness: 0.0074 (0.0241) loss_rpn_box_reg: 0.0043 (0.0160) loss_da_image: 0.6755 (0.6673) loss_da_instance: 0.6709 (0.6566) loss_da_consistency: 0.0053 (0.0068) time: 0.8339 (0.8352) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:48:04,713 maskrcnn_benchmark.trainer INFO: eta: 9:10:41 iter: 30440 loss: 1.4769 (1.5432) loss_classifier: 0.0522 (0.0816) loss_box_reg: 0.0542 (0.0908) loss_objectness: 0.0052 (0.0241) loss_rpn_box_reg: 0.0068 (0.0160) loss_da_image: 0.6764 (0.6673) loss_da_instance: 0.6633 (0.6566) loss_da_consistency: 0.0047 (0.0068) time: 0.8315 (0.8352) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:48:21,380 maskrcnn_benchmark.trainer INFO: eta: 9:10:24 iter: 30460 loss: 1.4539 (1.5431) loss_classifier: 0.0411 (0.0816) loss_box_reg: 0.0454 (0.0908) loss_objectness: 0.0042 (0.0241) loss_rpn_box_reg: 0.0077 (0.0160) loss_da_image: 0.6805 (0.6673) loss_da_instance: 0.6678 (0.6566) loss_da_consistency: 0.0043 (0.0068) time: 0.8332 (0.8352) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:48:38,058 maskrcnn_benchmark.trainer INFO: eta: 9:10:08 iter: 30480 loss: 1.4578 (1.5431) loss_classifier: 0.0485 (0.0816) loss_box_reg: 0.0423 (0.0908) loss_objectness: 0.0087 (0.0241) loss_rpn_box_reg: 0.0060 (0.0160) loss_da_image: 0.6785 (0.6673) loss_da_instance: 0.6508 (0.6566) loss_da_consistency: 0.0060 (0.0068) time: 0.8317 (0.8352) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:48:54,739 maskrcnn_benchmark.trainer INFO: eta: 9:09:51 iter: 30500 loss: 1.4486 (1.5431) loss_classifier: 0.0392 (0.0816) loss_box_reg: 0.0473 (0.0908) loss_objectness: 0.0098 (0.0240) loss_rpn_box_reg: 0.0047 (0.0160) loss_da_image: 0.6662 (0.6673) loss_da_instance: 0.6730 (0.6566) loss_da_consistency: 0.0056 (0.0068) time: 0.8326 (0.8352) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:49:11,440 maskrcnn_benchmark.trainer INFO: eta: 9:09:34 iter: 30520 loss: 1.4459 (1.5430) loss_classifier: 0.0430 (0.0815) loss_box_reg: 0.0337 (0.0907) loss_objectness: 0.0047 (0.0240) loss_rpn_box_reg: 0.0060 (0.0159) loss_da_image: 0.6740 (0.6673) loss_da_instance: 0.6676 (0.6567) loss_da_consistency: 0.0064 (0.0068) time: 0.8353 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:49:28,093 maskrcnn_benchmark.trainer INFO: eta: 9:09:17 iter: 30540 loss: 1.4991 (1.5430) loss_classifier: 0.0602 (0.0815) loss_box_reg: 0.0751 (0.0907) loss_objectness: 0.0096 (0.0240) loss_rpn_box_reg: 0.0125 (0.0159) loss_da_image: 0.6824 (0.6673) loss_da_instance: 0.6677 (0.6567) loss_da_consistency: 0.0052 (0.0068) time: 0.8324 (0.8352) data: 0.0618 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:49:44,769 maskrcnn_benchmark.trainer INFO: eta: 9:09:01 iter: 30560 loss: 1.4904 (1.5430) loss_classifier: 0.0561 (0.0815) loss_box_reg: 0.0590 (0.0907) loss_objectness: 0.0125 (0.0240) loss_rpn_box_reg: 0.0073 (0.0159) loss_da_image: 0.6730 (0.6673) loss_da_instance: 0.6636 (0.6567) loss_da_consistency: 0.0050 (0.0068) time: 0.8335 (0.8352) data: 0.0621 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:50:01,433 maskrcnn_benchmark.trainer INFO: eta: 9:08:44 iter: 30580 loss: 1.4635 (1.5430) loss_classifier: 0.0516 (0.0815) loss_box_reg: 0.0605 (0.0907) loss_objectness: 0.0102 (0.0240) loss_rpn_box_reg: 0.0047 (0.0159) loss_da_image: 0.6722 (0.6673) loss_da_instance: 0.6729 (0.6567) loss_da_consistency: 0.0050 (0.0068) time: 0.8340 (0.8352) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:50:18,098 maskrcnn_benchmark.trainer INFO: eta: 9:08:27 iter: 30600 loss: 1.4931 (1.5429) loss_classifier: 0.0555 (0.0815) loss_box_reg: 0.0652 (0.0907) loss_objectness: 0.0116 (0.0240) loss_rpn_box_reg: 0.0121 (0.0159) loss_da_image: 0.6676 (0.6673) loss_da_instance: 0.6592 (0.6567) loss_da_consistency: 0.0053 (0.0068) time: 0.8327 (0.8352) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:50:34,735 maskrcnn_benchmark.trainer INFO: eta: 9:08:10 iter: 30620 loss: 1.4785 (1.5429) loss_classifier: 0.0494 (0.0815) loss_box_reg: 0.0718 (0.0907) loss_objectness: 0.0078 (0.0240) loss_rpn_box_reg: 0.0082 (0.0159) loss_da_image: 0.6750 (0.6674) loss_da_instance: 0.6580 (0.6567) loss_da_consistency: 0.0053 (0.0068) time: 0.8306 (0.8352) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:50:51,360 maskrcnn_benchmark.trainer INFO: eta: 9:07:53 iter: 30640 loss: 1.4540 (1.5429) loss_classifier: 0.0415 (0.0815) loss_box_reg: 0.0425 (0.0906) loss_objectness: 0.0060 (0.0240) loss_rpn_box_reg: 0.0110 (0.0159) loss_da_image: 0.6772 (0.6674) loss_da_instance: 0.6721 (0.6567) loss_da_consistency: 0.0047 (0.0068) time: 0.8305 (0.8352) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:51:07,990 maskrcnn_benchmark.trainer INFO: eta: 9:07:37 iter: 30660 loss: 1.5179 (1.5428) loss_classifier: 0.0626 (0.0815) loss_box_reg: 0.0613 (0.0906) loss_objectness: 0.0109 (0.0240) loss_rpn_box_reg: 0.0087 (0.0159) loss_da_image: 0.6790 (0.6674) loss_da_instance: 0.6614 (0.6567) loss_da_consistency: 0.0052 (0.0068) time: 0.8314 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:51:24,633 maskrcnn_benchmark.trainer INFO: eta: 9:07:20 iter: 30680 loss: 1.4753 (1.5428) loss_classifier: 0.0481 (0.0814) loss_box_reg: 0.0490 (0.0906) loss_objectness: 0.0095 (0.0240) loss_rpn_box_reg: 0.0062 (0.0159) loss_da_image: 0.6779 (0.6674) loss_da_instance: 0.6623 (0.6567) loss_da_consistency: 0.0045 (0.0068) time: 0.8315 (0.8352) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:51:41,293 maskrcnn_benchmark.trainer INFO: eta: 9:07:03 iter: 30700 loss: 1.4978 (1.5428) loss_classifier: 0.0527 (0.0814) loss_box_reg: 0.0685 (0.0906) loss_objectness: 0.0106 (0.0240) loss_rpn_box_reg: 0.0091 (0.0159) loss_da_image: 0.6801 (0.6674) loss_da_instance: 0.6539 (0.6567) loss_da_consistency: 0.0057 (0.0068) time: 0.8339 (0.8352) data: 0.0651 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:51:57,934 maskrcnn_benchmark.trainer INFO: eta: 9:06:46 iter: 30720 loss: 1.4739 (1.5428) loss_classifier: 0.0504 (0.0814) loss_box_reg: 0.0621 (0.0906) loss_objectness: 0.0088 (0.0240) loss_rpn_box_reg: 0.0093 (0.0159) loss_da_image: 0.6758 (0.6674) loss_da_instance: 0.6562 (0.6567) loss_da_consistency: 0.0056 (0.0068) time: 0.8324 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:52:14,598 maskrcnn_benchmark.trainer INFO: eta: 9:06:30 iter: 30740 loss: 1.4561 (1.5427) loss_classifier: 0.0566 (0.0814) loss_box_reg: 0.0371 (0.0906) loss_objectness: 0.0082 (0.0240) loss_rpn_box_reg: 0.0053 (0.0159) loss_da_image: 0.6777 (0.6674) loss_da_instance: 0.6610 (0.6567) loss_da_consistency: 0.0051 (0.0068) time: 0.8330 (0.8352) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:52:31,254 maskrcnn_benchmark.trainer INFO: eta: 9:06:13 iter: 30760 loss: 1.5035 (1.5427) loss_classifier: 0.0595 (0.0814) loss_box_reg: 0.0676 (0.0906) loss_objectness: 0.0087 (0.0240) loss_rpn_box_reg: 0.0048 (0.0159) loss_da_image: 0.6703 (0.6674) loss_da_instance: 0.6660 (0.6567) loss_da_consistency: 0.0060 (0.0068) time: 0.8333 (0.8352) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:52:47,855 maskrcnn_benchmark.trainer INFO: eta: 9:05:56 iter: 30780 loss: 1.4859 (1.5427) loss_classifier: 0.0605 (0.0814) loss_box_reg: 0.0497 (0.0905) loss_objectness: 0.0086 (0.0239) loss_rpn_box_reg: 0.0087 (0.0159) loss_da_image: 0.6794 (0.6674) loss_da_instance: 0.6538 (0.6567) loss_da_consistency: 0.0052 (0.0068) time: 0.8301 (0.8352) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:53:04,447 maskrcnn_benchmark.trainer INFO: eta: 9:05:39 iter: 30800 loss: 1.4805 (1.5427) loss_classifier: 0.0493 (0.0814) loss_box_reg: 0.0505 (0.0905) loss_objectness: 0.0079 (0.0239) loss_rpn_box_reg: 0.0059 (0.0159) loss_da_image: 0.6790 (0.6674) loss_da_instance: 0.6535 (0.6567) loss_da_consistency: 0.0064 (0.0068) time: 0.8288 (0.8352) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:53:21,064 maskrcnn_benchmark.trainer INFO: eta: 9:05:22 iter: 30820 loss: 1.4566 (1.5426) loss_classifier: 0.0471 (0.0814) loss_box_reg: 0.0523 (0.0905) loss_objectness: 0.0046 (0.0239) loss_rpn_box_reg: 0.0062 (0.0159) loss_da_image: 0.6759 (0.6674) loss_da_instance: 0.6655 (0.6567) loss_da_consistency: 0.0053 (0.0068) time: 0.8304 (0.8352) data: 0.0621 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:53:37,702 maskrcnn_benchmark.trainer INFO: eta: 9:05:06 iter: 30840 loss: 1.5567 (1.5427) loss_classifier: 0.0845 (0.0814) loss_box_reg: 0.1163 (0.0905) loss_objectness: 0.0141 (0.0239) loss_rpn_box_reg: 0.0139 (0.0159) loss_da_image: 0.6678 (0.6674) loss_da_instance: 0.6556 (0.6567) loss_da_consistency: 0.0054 (0.0068) time: 0.8300 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:53:54,383 maskrcnn_benchmark.trainer INFO: eta: 9:04:49 iter: 30860 loss: 1.4617 (1.5426) loss_classifier: 0.0397 (0.0813) loss_box_reg: 0.0360 (0.0905) loss_objectness: 0.0127 (0.0239) loss_rpn_box_reg: 0.0031 (0.0159) loss_da_image: 0.6730 (0.6674) loss_da_instance: 0.6744 (0.6568) loss_da_consistency: 0.0053 (0.0068) time: 0.8336 (0.8352) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:54:11,045 maskrcnn_benchmark.trainer INFO: eta: 9:04:32 iter: 30880 loss: 1.4805 (1.5426) loss_classifier: 0.0558 (0.0813) loss_box_reg: 0.0602 (0.0905) loss_objectness: 0.0096 (0.0239) loss_rpn_box_reg: 0.0086 (0.0159) loss_da_image: 0.6766 (0.6674) loss_da_instance: 0.6715 (0.6568) loss_da_consistency: 0.0055 (0.0068) time: 0.8317 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:54:27,674 maskrcnn_benchmark.trainer INFO: eta: 9:04:15 iter: 30900 loss: 1.5539 (1.5426) loss_classifier: 0.0621 (0.0813) loss_box_reg: 0.0756 (0.0905) loss_objectness: 0.0151 (0.0239) loss_rpn_box_reg: 0.0077 (0.0159) loss_da_image: 0.6777 (0.6674) loss_da_instance: 0.6680 (0.6568) loss_da_consistency: 0.0052 (0.0068) time: 0.8323 (0.8352) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:54:44,302 maskrcnn_benchmark.trainer INFO: eta: 9:03:58 iter: 30920 loss: 1.4971 (1.5426) loss_classifier: 0.0540 (0.0813) loss_box_reg: 0.0505 (0.0905) loss_objectness: 0.0083 (0.0239) loss_rpn_box_reg: 0.0063 (0.0159) loss_da_image: 0.6808 (0.6674) loss_da_instance: 0.6512 (0.6568) loss_da_consistency: 0.0056 (0.0067) time: 0.8305 (0.8352) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:55:00,973 maskrcnn_benchmark.trainer INFO: eta: 9:03:42 iter: 30940 loss: 1.4933 (1.5426) loss_classifier: 0.0519 (0.0813) loss_box_reg: 0.0641 (0.0905) loss_objectness: 0.0131 (0.0239) loss_rpn_box_reg: 0.0128 (0.0159) loss_da_image: 0.6809 (0.6674) loss_da_instance: 0.6602 (0.6568) loss_da_consistency: 0.0056 (0.0067) time: 0.8328 (0.8352) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:55:17,670 maskrcnn_benchmark.trainer INFO: eta: 9:03:25 iter: 30960 loss: 1.4805 (1.5425) loss_classifier: 0.0662 (0.0813) loss_box_reg: 0.0525 (0.0905) loss_objectness: 0.0149 (0.0239) loss_rpn_box_reg: 0.0059 (0.0159) loss_da_image: 0.6707 (0.6674) loss_da_instance: 0.6654 (0.6568) loss_da_consistency: 0.0057 (0.0067) time: 0.8351 (0.8352) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:55:34,324 maskrcnn_benchmark.trainer INFO: eta: 9:03:08 iter: 30980 loss: 1.5030 (1.5425) loss_classifier: 0.0599 (0.0813) loss_box_reg: 0.0538 (0.0904) loss_objectness: 0.0087 (0.0239) loss_rpn_box_reg: 0.0068 (0.0159) loss_da_image: 0.6719 (0.6675) loss_da_instance: 0.6652 (0.6568) loss_da_consistency: 0.0052 (0.0067) time: 0.8330 (0.8352) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:55:50,974 maskrcnn_benchmark.trainer INFO: eta: 9:02:51 iter: 31000 loss: 1.4755 (1.5425) loss_classifier: 0.0486 (0.0813) loss_box_reg: 0.0585 (0.0904) loss_objectness: 0.0080 (0.0239) loss_rpn_box_reg: 0.0066 (0.0159) loss_da_image: 0.6750 (0.6675) loss_da_instance: 0.6682 (0.6568) loss_da_consistency: 0.0055 (0.0067) time: 0.8313 (0.8352) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:56:07,592 maskrcnn_benchmark.trainer INFO: eta: 9:02:35 iter: 31020 loss: 1.4841 (1.5425) loss_classifier: 0.0463 (0.0813) loss_box_reg: 0.0600 (0.0904) loss_objectness: 0.0091 (0.0239) loss_rpn_box_reg: 0.0057 (0.0159) loss_da_image: 0.6751 (0.6675) loss_da_instance: 0.6560 (0.6568) loss_da_consistency: 0.0051 (0.0067) time: 0.8308 (0.8352) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:56:24,237 maskrcnn_benchmark.trainer INFO: eta: 9:02:18 iter: 31040 loss: 1.4537 (1.5424) loss_classifier: 0.0402 (0.0813) loss_box_reg: 0.0379 (0.0904) loss_objectness: 0.0059 (0.0239) loss_rpn_box_reg: 0.0040 (0.0159) loss_da_image: 0.6697 (0.6675) loss_da_instance: 0.6651 (0.6568) loss_da_consistency: 0.0052 (0.0067) time: 0.8309 (0.8352) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:56:40,946 maskrcnn_benchmark.trainer INFO: eta: 9:02:01 iter: 31060 loss: 1.4767 (1.5424) loss_classifier: 0.0495 (0.0812) loss_box_reg: 0.0590 (0.0904) loss_objectness: 0.0078 (0.0239) loss_rpn_box_reg: 0.0070 (0.0159) loss_da_image: 0.6716 (0.6675) loss_da_instance: 0.6608 (0.6568) loss_da_consistency: 0.0058 (0.0067) time: 0.8340 (0.8352) data: 0.0651 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:56:57,600 maskrcnn_benchmark.trainer INFO: eta: 9:01:44 iter: 31080 loss: 1.4916 (1.5424) loss_classifier: 0.0569 (0.0812) loss_box_reg: 0.0695 (0.0904) loss_objectness: 0.0096 (0.0239) loss_rpn_box_reg: 0.0118 (0.0159) loss_da_image: 0.6784 (0.6675) loss_da_instance: 0.6584 (0.6568) loss_da_consistency: 0.0054 (0.0067) time: 0.8332 (0.8352) data: 0.0644 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:57:14,255 maskrcnn_benchmark.trainer INFO: eta: 9:01:28 iter: 31100 loss: 1.4597 (1.5424) loss_classifier: 0.0504 (0.0812) loss_box_reg: 0.0490 (0.0904) loss_objectness: 0.0110 (0.0239) loss_rpn_box_reg: 0.0056 (0.0159) loss_da_image: 0.6771 (0.6675) loss_da_instance: 0.6637 (0.6568) loss_da_consistency: 0.0046 (0.0067) time: 0.8320 (0.8352) data: 0.0653 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:57:30,808 maskrcnn_benchmark.trainer INFO: eta: 9:01:11 iter: 31120 loss: 1.4865 (1.5424) loss_classifier: 0.0520 (0.0812) loss_box_reg: 0.0547 (0.0904) loss_objectness: 0.0115 (0.0239) loss_rpn_box_reg: 0.0086 (0.0159) loss_da_image: 0.6746 (0.6675) loss_da_instance: 0.6594 (0.6568) loss_da_consistency: 0.0049 (0.0067) time: 0.8277 (0.8352) data: 0.0688 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:57:47,341 maskrcnn_benchmark.trainer INFO: eta: 9:00:54 iter: 31140 loss: 1.4837 (1.5423) loss_classifier: 0.0567 (0.0812) loss_box_reg: 0.0733 (0.0903) loss_objectness: 0.0094 (0.0239) loss_rpn_box_reg: 0.0094 (0.0159) loss_da_image: 0.6730 (0.6675) loss_da_instance: 0.6574 (0.6568) loss_da_consistency: 0.0057 (0.0067) time: 0.8268 (0.8352) data: 0.0681 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:58:03,908 maskrcnn_benchmark.trainer INFO: eta: 9:00:37 iter: 31160 loss: 1.5323 (1.5423) loss_classifier: 0.0696 (0.0812) loss_box_reg: 0.0723 (0.0903) loss_objectness: 0.0170 (0.0239) loss_rpn_box_reg: 0.0118 (0.0159) loss_da_image: 0.6722 (0.6675) loss_da_instance: 0.6542 (0.6568) loss_da_consistency: 0.0059 (0.0067) time: 0.8287 (0.8352) data: 0.0684 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:58:20,519 maskrcnn_benchmark.trainer INFO: eta: 9:00:20 iter: 31180 loss: 1.4604 (1.5423) loss_classifier: 0.0495 (0.0812) loss_box_reg: 0.0499 (0.0903) loss_objectness: 0.0083 (0.0239) loss_rpn_box_reg: 0.0068 (0.0159) loss_da_image: 0.6737 (0.6675) loss_da_instance: 0.6647 (0.6568) loss_da_consistency: 0.0058 (0.0067) time: 0.8292 (0.8352) data: 0.0658 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:58:37,158 maskrcnn_benchmark.trainer INFO: eta: 9:00:03 iter: 31200 loss: 1.4930 (1.5423) loss_classifier: 0.0511 (0.0812) loss_box_reg: 0.0727 (0.0903) loss_objectness: 0.0116 (0.0238) loss_rpn_box_reg: 0.0092 (0.0159) loss_da_image: 0.6741 (0.6675) loss_da_instance: 0.6631 (0.6568) loss_da_consistency: 0.0049 (0.0067) time: 0.8322 (0.8352) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:58:53,854 maskrcnn_benchmark.trainer INFO: eta: 8:59:47 iter: 31220 loss: 1.4877 (1.5422) loss_classifier: 0.0370 (0.0811) loss_box_reg: 0.0516 (0.0903) loss_objectness: 0.0081 (0.0238) loss_rpn_box_reg: 0.0061 (0.0159) loss_da_image: 0.6731 (0.6675) loss_da_instance: 0.6647 (0.6568) loss_da_consistency: 0.0062 (0.0067) time: 0.8350 (0.8352) data: 0.0647 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:59:10,537 maskrcnn_benchmark.trainer INFO: eta: 8:59:30 iter: 31240 loss: 1.4758 (1.5422) loss_classifier: 0.0547 (0.0811) loss_box_reg: 0.0527 (0.0903) loss_objectness: 0.0087 (0.0238) loss_rpn_box_reg: 0.0079 (0.0159) loss_da_image: 0.6716 (0.6675) loss_da_instance: 0.6513 (0.6568) loss_da_consistency: 0.0056 (0.0067) time: 0.8342 (0.8351) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:59:27,246 maskrcnn_benchmark.trainer INFO: eta: 8:59:13 iter: 31260 loss: 1.4483 (1.5422) loss_classifier: 0.0444 (0.0811) loss_box_reg: 0.0466 (0.0903) loss_objectness: 0.0058 (0.0238) loss_rpn_box_reg: 0.0052 (0.0159) loss_da_image: 0.6757 (0.6675) loss_da_instance: 0.6557 (0.6568) loss_da_consistency: 0.0061 (0.0067) time: 0.8353 (0.8351) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 20:59:43,908 maskrcnn_benchmark.trainer INFO: eta: 8:58:56 iter: 31280 loss: 1.4519 (1.5421) loss_classifier: 0.0510 (0.0811) loss_box_reg: 0.0436 (0.0903) loss_objectness: 0.0085 (0.0238) loss_rpn_box_reg: 0.0066 (0.0159) loss_da_image: 0.6774 (0.6675) loss_da_instance: 0.6569 (0.6568) loss_da_consistency: 0.0051 (0.0067) time: 0.8322 (0.8351) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:00:00,619 maskrcnn_benchmark.trainer INFO: eta: 8:58:40 iter: 31300 loss: 1.4996 (1.5421) loss_classifier: 0.0753 (0.0811) loss_box_reg: 0.0632 (0.0903) loss_objectness: 0.0165 (0.0238) loss_rpn_box_reg: 0.0093 (0.0159) loss_da_image: 0.6717 (0.6675) loss_da_instance: 0.6567 (0.6568) loss_da_consistency: 0.0064 (0.0067) time: 0.8341 (0.8351) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:00:17,205 maskrcnn_benchmark.trainer INFO: eta: 8:58:23 iter: 31320 loss: 1.4414 (1.5421) loss_classifier: 0.0422 (0.0811) loss_box_reg: 0.0602 (0.0903) loss_objectness: 0.0055 (0.0238) loss_rpn_box_reg: 0.0068 (0.0158) loss_da_image: 0.6655 (0.6675) loss_da_instance: 0.6444 (0.6568) loss_da_consistency: 0.0054 (0.0067) time: 0.8288 (0.8351) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:00:33,812 maskrcnn_benchmark.trainer INFO: eta: 8:58:06 iter: 31340 loss: 1.4867 (1.5421) loss_classifier: 0.0496 (0.0811) loss_box_reg: 0.0571 (0.0902) loss_objectness: 0.0065 (0.0238) loss_rpn_box_reg: 0.0071 (0.0158) loss_da_image: 0.6806 (0.6675) loss_da_instance: 0.6610 (0.6568) loss_da_consistency: 0.0062 (0.0067) time: 0.8300 (0.8351) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:00:50,410 maskrcnn_benchmark.trainer INFO: eta: 8:57:49 iter: 31360 loss: 1.5001 (1.5420) loss_classifier: 0.0663 (0.0811) loss_box_reg: 0.0571 (0.0902) loss_objectness: 0.0074 (0.0238) loss_rpn_box_reg: 0.0050 (0.0158) loss_da_image: 0.6707 (0.6675) loss_da_instance: 0.6574 (0.6568) loss_da_consistency: 0.0055 (0.0067) time: 0.8292 (0.8351) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:01:06,997 maskrcnn_benchmark.trainer INFO: eta: 8:57:32 iter: 31380 loss: 1.4399 (1.5420) loss_classifier: 0.0463 (0.0810) loss_box_reg: 0.0585 (0.0902) loss_objectness: 0.0065 (0.0238) loss_rpn_box_reg: 0.0042 (0.0158) loss_da_image: 0.6643 (0.6675) loss_da_instance: 0.6552 (0.6568) loss_da_consistency: 0.0061 (0.0067) time: 0.8283 (0.8351) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:01:23,639 maskrcnn_benchmark.trainer INFO: eta: 8:57:16 iter: 31400 loss: 1.4680 (1.5420) loss_classifier: 0.0471 (0.0810) loss_box_reg: 0.0470 (0.0902) loss_objectness: 0.0095 (0.0238) loss_rpn_box_reg: 0.0047 (0.0158) loss_da_image: 0.6723 (0.6675) loss_da_instance: 0.6737 (0.6568) loss_da_consistency: 0.0065 (0.0067) time: 0.8315 (0.8351) data: 0.0639 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:01:40,271 maskrcnn_benchmark.trainer INFO: eta: 8:56:59 iter: 31420 loss: 1.4872 (1.5419) loss_classifier: 0.0551 (0.0810) loss_box_reg: 0.0861 (0.0902) loss_objectness: 0.0090 (0.0238) loss_rpn_box_reg: 0.0056 (0.0158) loss_da_image: 0.6640 (0.6675) loss_da_instance: 0.6644 (0.6569) loss_da_consistency: 0.0055 (0.0067) time: 0.8313 (0.8351) data: 0.0622 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:01:56,901 maskrcnn_benchmark.trainer INFO: eta: 8:56:42 iter: 31440 loss: 1.4642 (1.5419) loss_classifier: 0.0538 (0.0810) loss_box_reg: 0.0672 (0.0902) loss_objectness: 0.0039 (0.0238) loss_rpn_box_reg: 0.0049 (0.0158) loss_da_image: 0.6797 (0.6675) loss_da_instance: 0.6523 (0.6569) loss_da_consistency: 0.0043 (0.0067) time: 0.8313 (0.8351) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:02:13,509 maskrcnn_benchmark.trainer INFO: eta: 8:56:25 iter: 31460 loss: 1.5443 (1.5419) loss_classifier: 0.0843 (0.0810) loss_box_reg: 0.1007 (0.0902) loss_objectness: 0.0141 (0.0238) loss_rpn_box_reg: 0.0095 (0.0158) loss_da_image: 0.6735 (0.6675) loss_da_instance: 0.6458 (0.6568) loss_da_consistency: 0.0069 (0.0067) time: 0.8301 (0.8351) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:02:30,092 maskrcnn_benchmark.trainer INFO: eta: 8:56:08 iter: 31480 loss: 1.4538 (1.5419) loss_classifier: 0.0504 (0.0810) loss_box_reg: 0.0540 (0.0902) loss_objectness: 0.0052 (0.0238) loss_rpn_box_reg: 0.0064 (0.0158) loss_da_image: 0.6677 (0.6675) loss_da_instance: 0.6458 (0.6568) loss_da_consistency: 0.0074 (0.0067) time: 0.8287 (0.8351) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:02:46,743 maskrcnn_benchmark.trainer INFO: eta: 8:55:52 iter: 31500 loss: 1.4610 (1.5418) loss_classifier: 0.0392 (0.0810) loss_box_reg: 0.0572 (0.0902) loss_objectness: 0.0053 (0.0237) loss_rpn_box_reg: 0.0043 (0.0158) loss_da_image: 0.6748 (0.6676) loss_da_instance: 0.6676 (0.6569) loss_da_consistency: 0.0050 (0.0067) time: 0.8334 (0.8351) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:03:03,374 maskrcnn_benchmark.trainer INFO: eta: 8:55:35 iter: 31520 loss: 1.5360 (1.5418) loss_classifier: 0.0672 (0.0810) loss_box_reg: 0.0768 (0.0901) loss_objectness: 0.0110 (0.0237) loss_rpn_box_reg: 0.0059 (0.0158) loss_da_image: 0.6799 (0.6676) loss_da_instance: 0.6614 (0.6569) loss_da_consistency: 0.0054 (0.0067) time: 0.8307 (0.8351) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:03:20,009 maskrcnn_benchmark.trainer INFO: eta: 8:55:18 iter: 31540 loss: 1.4367 (1.5418) loss_classifier: 0.0345 (0.0809) loss_box_reg: 0.0319 (0.0901) loss_objectness: 0.0060 (0.0237) loss_rpn_box_reg: 0.0048 (0.0158) loss_da_image: 0.6763 (0.6676) loss_da_instance: 0.6628 (0.6569) loss_da_consistency: 0.0046 (0.0067) time: 0.8300 (0.8351) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:03:36,640 maskrcnn_benchmark.trainer INFO: eta: 8:55:01 iter: 31560 loss: 1.4869 (1.5417) loss_classifier: 0.0607 (0.0809) loss_box_reg: 0.0795 (0.0901) loss_objectness: 0.0119 (0.0237) loss_rpn_box_reg: 0.0089 (0.0158) loss_da_image: 0.6749 (0.6676) loss_da_instance: 0.6619 (0.6569) loss_da_consistency: 0.0062 (0.0067) time: 0.8302 (0.8351) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:03:53,261 maskrcnn_benchmark.trainer INFO: eta: 8:54:44 iter: 31580 loss: 1.4644 (1.5417) loss_classifier: 0.0476 (0.0809) loss_box_reg: 0.0409 (0.0901) loss_objectness: 0.0077 (0.0237) loss_rpn_box_reg: 0.0109 (0.0158) loss_da_image: 0.6771 (0.6676) loss_da_instance: 0.6599 (0.6569) loss_da_consistency: 0.0048 (0.0067) time: 0.8307 (0.8351) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:04:09,878 maskrcnn_benchmark.trainer INFO: eta: 8:54:28 iter: 31600 loss: 1.4807 (1.5417) loss_classifier: 0.0417 (0.0809) loss_box_reg: 0.0507 (0.0901) loss_objectness: 0.0071 (0.0237) loss_rpn_box_reg: 0.0067 (0.0158) loss_da_image: 0.6778 (0.6676) loss_da_instance: 0.6615 (0.6569) loss_da_consistency: 0.0059 (0.0067) time: 0.8307 (0.8351) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:04:26,494 maskrcnn_benchmark.trainer INFO: eta: 8:54:11 iter: 31620 loss: 1.4640 (1.5417) loss_classifier: 0.0396 (0.0809) loss_box_reg: 0.0464 (0.0901) loss_objectness: 0.0071 (0.0237) loss_rpn_box_reg: 0.0079 (0.0158) loss_da_image: 0.6731 (0.6676) loss_da_instance: 0.6603 (0.6569) loss_da_consistency: 0.0058 (0.0067) time: 0.8298 (0.8351) data: 0.0638 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:04:43,194 maskrcnn_benchmark.trainer INFO: eta: 8:53:54 iter: 31640 loss: 1.4996 (1.5416) loss_classifier: 0.0584 (0.0809) loss_box_reg: 0.0529 (0.0901) loss_objectness: 0.0132 (0.0237) loss_rpn_box_reg: 0.0110 (0.0158) loss_da_image: 0.6744 (0.6676) loss_da_instance: 0.6587 (0.6569) loss_da_consistency: 0.0058 (0.0067) time: 0.8346 (0.8351) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:04:59,855 maskrcnn_benchmark.trainer INFO: eta: 8:53:37 iter: 31660 loss: 1.4997 (1.5416) loss_classifier: 0.0539 (0.0809) loss_box_reg: 0.0609 (0.0901) loss_objectness: 0.0075 (0.0237) loss_rpn_box_reg: 0.0072 (0.0158) loss_da_image: 0.6771 (0.6676) loss_da_instance: 0.6494 (0.6569) loss_da_consistency: 0.0054 (0.0067) time: 0.8320 (0.8351) data: 0.0642 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:05:16,479 maskrcnn_benchmark.trainer INFO: eta: 8:53:21 iter: 31680 loss: 1.4883 (1.5416) loss_classifier: 0.0572 (0.0809) loss_box_reg: 0.0664 (0.0900) loss_objectness: 0.0105 (0.0237) loss_rpn_box_reg: 0.0057 (0.0158) loss_da_image: 0.6772 (0.6676) loss_da_instance: 0.6616 (0.6569) loss_da_consistency: 0.0058 (0.0067) time: 0.8302 (0.8351) data: 0.0636 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:05:33,106 maskrcnn_benchmark.trainer INFO: eta: 8:53:04 iter: 31700 loss: 1.4750 (1.5416) loss_classifier: 0.0483 (0.0808) loss_box_reg: 0.0740 (0.0900) loss_objectness: 0.0055 (0.0237) loss_rpn_box_reg: 0.0055 (0.0158) loss_da_image: 0.6740 (0.6676) loss_da_instance: 0.6584 (0.6569) loss_da_consistency: 0.0056 (0.0067) time: 0.8313 (0.8351) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:05:49,701 maskrcnn_benchmark.trainer INFO: eta: 8:52:47 iter: 31720 loss: 1.4749 (1.5415) loss_classifier: 0.0517 (0.0808) loss_box_reg: 0.0692 (0.0900) loss_objectness: 0.0106 (0.0237) loss_rpn_box_reg: 0.0060 (0.0158) loss_da_image: 0.6770 (0.6676) loss_da_instance: 0.6572 (0.6569) loss_da_consistency: 0.0059 (0.0067) time: 0.8286 (0.8351) data: 0.0646 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:06:06,285 maskrcnn_benchmark.trainer INFO: eta: 8:52:30 iter: 31740 loss: 1.4579 (1.5415) loss_classifier: 0.0501 (0.0808) loss_box_reg: 0.0515 (0.0900) loss_objectness: 0.0097 (0.0237) loss_rpn_box_reg: 0.0063 (0.0158) loss_da_image: 0.6769 (0.6676) loss_da_instance: 0.6656 (0.6569) loss_da_consistency: 0.0055 (0.0067) time: 0.8293 (0.8351) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:06:22,896 maskrcnn_benchmark.trainer INFO: eta: 8:52:13 iter: 31760 loss: 1.4813 (1.5415) loss_classifier: 0.0500 (0.0808) loss_box_reg: 0.0568 (0.0900) loss_objectness: 0.0112 (0.0237) loss_rpn_box_reg: 0.0084 (0.0158) loss_da_image: 0.6736 (0.6676) loss_da_instance: 0.6601 (0.6569) loss_da_consistency: 0.0060 (0.0067) time: 0.8303 (0.8351) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:06:39,517 maskrcnn_benchmark.trainer INFO: eta: 8:51:57 iter: 31780 loss: 1.4772 (1.5415) loss_classifier: 0.0457 (0.0808) loss_box_reg: 0.0676 (0.0900) loss_objectness: 0.0089 (0.0237) loss_rpn_box_reg: 0.0029 (0.0158) loss_da_image: 0.6783 (0.6676) loss_da_instance: 0.6661 (0.6569) loss_da_consistency: 0.0048 (0.0067) time: 0.8287 (0.8351) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:06:56,147 maskrcnn_benchmark.trainer INFO: eta: 8:51:40 iter: 31800 loss: 1.4544 (1.5414) loss_classifier: 0.0559 (0.0808) loss_box_reg: 0.0581 (0.0900) loss_objectness: 0.0098 (0.0237) loss_rpn_box_reg: 0.0063 (0.0158) loss_da_image: 0.6727 (0.6676) loss_da_instance: 0.6607 (0.6569) loss_da_consistency: 0.0055 (0.0067) time: 0.8314 (0.8351) data: 0.0640 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:07:12,785 maskrcnn_benchmark.trainer INFO: eta: 8:51:23 iter: 31820 loss: 1.4729 (1.5414) loss_classifier: 0.0360 (0.0808) loss_box_reg: 0.0709 (0.0900) loss_objectness: 0.0100 (0.0237) loss_rpn_box_reg: 0.0097 (0.0158) loss_da_image: 0.6754 (0.6676) loss_da_instance: 0.6655 (0.6569) loss_da_consistency: 0.0059 (0.0067) time: 0.8330 (0.8351) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:07:29,410 maskrcnn_benchmark.trainer INFO: eta: 8:51:06 iter: 31840 loss: 1.4923 (1.5414) loss_classifier: 0.0477 (0.0808) loss_box_reg: 0.0710 (0.0900) loss_objectness: 0.0118 (0.0236) loss_rpn_box_reg: 0.0063 (0.0158) loss_da_image: 0.6760 (0.6676) loss_da_instance: 0.6601 (0.6569) loss_da_consistency: 0.0053 (0.0067) time: 0.8299 (0.8351) data: 0.0637 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:07:46,028 maskrcnn_benchmark.trainer INFO: eta: 8:50:49 iter: 31860 loss: 1.4246 (1.5414) loss_classifier: 0.0502 (0.0807) loss_box_reg: 0.0367 (0.0899) loss_objectness: 0.0046 (0.0236) loss_rpn_box_reg: 0.0070 (0.0158) loss_da_image: 0.6766 (0.6676) loss_da_instance: 0.6597 (0.6569) loss_da_consistency: 0.0053 (0.0067) time: 0.8297 (0.8351) data: 0.0632 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:08:02,672 maskrcnn_benchmark.trainer INFO: eta: 8:50:33 iter: 31880 loss: 1.5233 (1.5414) loss_classifier: 0.0675 (0.0807) loss_box_reg: 0.0659 (0.0899) loss_objectness: 0.0141 (0.0236) loss_rpn_box_reg: 0.0171 (0.0158) loss_da_image: 0.6769 (0.6676) loss_da_instance: 0.6609 (0.6569) loss_da_consistency: 0.0056 (0.0067) time: 0.8318 (0.8351) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:08:19,318 maskrcnn_benchmark.trainer INFO: eta: 8:50:16 iter: 31900 loss: 1.5051 (1.5413) loss_classifier: 0.0451 (0.0807) loss_box_reg: 0.0644 (0.0899) loss_objectness: 0.0111 (0.0236) loss_rpn_box_reg: 0.0107 (0.0158) loss_da_image: 0.6694 (0.6676) loss_da_instance: 0.6661 (0.6569) loss_da_consistency: 0.0056 (0.0067) time: 0.8323 (0.8351) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:08:35,938 maskrcnn_benchmark.trainer INFO: eta: 8:49:59 iter: 31920 loss: 1.5221 (1.5414) loss_classifier: 0.0748 (0.0807) loss_box_reg: 0.0818 (0.0899) loss_objectness: 0.0091 (0.0236) loss_rpn_box_reg: 0.0104 (0.0158) loss_da_image: 0.6714 (0.6676) loss_da_instance: 0.6572 (0.6569) loss_da_consistency: 0.0056 (0.0067) time: 0.8310 (0.8351) data: 0.0634 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:08:52,544 maskrcnn_benchmark.trainer INFO: eta: 8:49:42 iter: 31940 loss: 1.4965 (1.5413) loss_classifier: 0.0607 (0.0807) loss_box_reg: 0.0758 (0.0899) loss_objectness: 0.0080 (0.0236) loss_rpn_box_reg: 0.0118 (0.0158) loss_da_image: 0.6777 (0.6676) loss_da_instance: 0.6641 (0.6569) loss_da_consistency: 0.0049 (0.0067) time: 0.8286 (0.8351) data: 0.0631 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:09:09,122 maskrcnn_benchmark.trainer INFO: eta: 8:49:25 iter: 31960 loss: 1.4754 (1.5413) loss_classifier: 0.0424 (0.0807) loss_box_reg: 0.0456 (0.0899) loss_objectness: 0.0102 (0.0236) loss_rpn_box_reg: 0.0058 (0.0158) loss_da_image: 0.6778 (0.6677) loss_da_instance: 0.6712 (0.6570) loss_da_consistency: 0.0043 (0.0067) time: 0.8279 (0.8351) data: 0.0626 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:09:25,701 maskrcnn_benchmark.trainer INFO: eta: 8:49:08 iter: 31980 loss: 1.4837 (1.5413) loss_classifier: 0.0455 (0.0807) loss_box_reg: 0.0775 (0.0899) loss_objectness: 0.0123 (0.0236) loss_rpn_box_reg: 0.0061 (0.0158) loss_da_image: 0.6810 (0.6677) loss_da_instance: 0.6562 (0.6570) loss_da_consistency: 0.0054 (0.0067) time: 0.8279 (0.8351) data: 0.0625 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:09:42,268 maskrcnn_benchmark.trainer INFO: eta: 8:48:52 iter: 32000 loss: 1.4567 (1.5412) loss_classifier: 0.0424 (0.0807) loss_box_reg: 0.0529 (0.0899) loss_objectness: 0.0088 (0.0236) loss_rpn_box_reg: 0.0038 (0.0158) loss_da_image: 0.6800 (0.6677) loss_da_instance: 0.6611 (0.6570) loss_da_consistency: 0.0043 (0.0067) time: 0.8268 (0.8351) data: 0.0623 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:09:58,867 maskrcnn_benchmark.trainer INFO: eta: 8:48:35 iter: 32020 loss: 1.4462 (1.5412) loss_classifier: 0.0438 (0.0806) loss_box_reg: 0.0336 (0.0899) loss_objectness: 0.0048 (0.0236) loss_rpn_box_reg: 0.0063 (0.0157) loss_da_image: 0.6776 (0.6677) loss_da_instance: 0.6619 (0.6570) loss_da_consistency: 0.0047 (0.0067) time: 0.8288 (0.8351) data: 0.0629 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:10:15,474 maskrcnn_benchmark.trainer INFO: eta: 8:48:18 iter: 32040 loss: 1.4891 (1.5412) loss_classifier: 0.0637 (0.0806) loss_box_reg: 0.0662 (0.0898) loss_objectness: 0.0131 (0.0236) loss_rpn_box_reg: 0.0110 (0.0157) loss_da_image: 0.6674 (0.6677) loss_da_instance: 0.6505 (0.6570) loss_da_consistency: 0.0062 (0.0067) time: 0.8308 (0.8351) data: 0.0630 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:10:32,097 maskrcnn_benchmark.trainer INFO: eta: 8:48:01 iter: 32060 loss: 1.4667 (1.5411) loss_classifier: 0.0502 (0.0806) loss_box_reg: 0.0596 (0.0898) loss_objectness: 0.0079 (0.0236) loss_rpn_box_reg: 0.0044 (0.0157) loss_da_image: 0.6757 (0.6677) loss_da_instance: 0.6579 (0.6570) loss_da_consistency: 0.0054 (0.0067) time: 0.8305 (0.8350) data: 0.0633 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:10:48,719 maskrcnn_benchmark.trainer INFO: eta: 8:47:44 iter: 32080 loss: 1.5021 (1.5411) loss_classifier: 0.0534 (0.0806) loss_box_reg: 0.0750 (0.0898) loss_objectness: 0.0147 (0.0236) loss_rpn_box_reg: 0.0095 (0.0157) loss_da_image: 0.6718 (0.6677) loss_da_instance: 0.6606 (0.6570) loss_da_consistency: 0.0055 (0.0067) time: 0.8331 (0.8350) data: 0.0645 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:11:05,342 maskrcnn_benchmark.trainer INFO: eta: 8:47:28 iter: 32100 loss: 1.5003 (1.5411) loss_classifier: 0.0497 (0.0806) loss_box_reg: 0.0957 (0.0898) loss_objectness: 0.0097 (0.0236) loss_rpn_box_reg: 0.0097 (0.0157) loss_da_image: 0.6740 (0.6677) loss_da_instance: 0.6595 (0.6570) loss_da_consistency: 0.0065 (0.0067) time: 0.8305 (0.8350) data: 0.0635 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:11:21,972 maskrcnn_benchmark.trainer INFO: eta: 8:47:11 iter: 32120 loss: 1.5210 (1.5411) loss_classifier: 0.0616 (0.0806) loss_box_reg: 0.0862 (0.0898) loss_objectness: 0.0106 (0.0236) loss_rpn_box_reg: 0.0096 (0.0157) loss_da_image: 0.6771 (0.6677) loss_da_instance: 0.6572 (0.6570) loss_da_consistency: 0.0061 (0.0067) time: 0.8304 (0.8350) data: 0.0650 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:11:38,610 maskrcnn_benchmark.trainer INFO: eta: 8:46:54 iter: 32140 loss: 1.4933 (1.5411) loss_classifier: 0.0551 (0.0806) loss_box_reg: 0.0719 (0.0898) loss_objectness: 0.0069 (0.0236) loss_rpn_box_reg: 0.0067 (0.0157) loss_da_image: 0.6820 (0.6677) loss_da_instance: 0.6475 (0.6570) loss_da_consistency: 0.0067 (0.0067) time: 0.8311 (0.8350) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:11:55,209 maskrcnn_benchmark.trainer INFO: eta: 8:46:37 iter: 32160 loss: 1.4751 (1.5411) loss_classifier: 0.0514 (0.0806) loss_box_reg: 0.0733 (0.0898) loss_objectness: 0.0097 (0.0236) loss_rpn_box_reg: 0.0076 (0.0157) loss_da_image: 0.6856 (0.6677) loss_da_instance: 0.6594 (0.6570) loss_da_consistency: 0.0068 (0.0067) time: 0.8286 (0.8350) data: 0.0641 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:12:11,781 maskrcnn_benchmark.trainer INFO: eta: 8:46:20 iter: 32180 loss: 1.5058 (1.5410) loss_classifier: 0.0720 (0.0806) loss_box_reg: 0.0524 (0.0898) loss_objectness: 0.0067 (0.0235) loss_rpn_box_reg: 0.0066 (0.0157) loss_da_image: 0.6815 (0.6677) loss_da_instance: 0.6583 (0.6570) loss_da_consistency: 0.0061 (0.0067) time: 0.8279 (0.8350) data: 0.0628 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:12:28,442 maskrcnn_benchmark.trainer INFO: eta: 8:46:04 iter: 32200 loss: 1.4901 (1.5410) loss_classifier: 0.0531 (0.0805) loss_box_reg: 0.0443 (0.0898) loss_objectness: 0.0100 (0.0235) loss_rpn_box_reg: 0.0093 (0.0157) loss_da_image: 0.6793 (0.6677) loss_da_instance: 0.6549 (0.6570) loss_da_consistency: 0.0071 (0.0067) time: 0.8321 (0.8350) data: 0.0624 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:12:45,128 maskrcnn_benchmark.trainer INFO: eta: 8:45:47 iter: 32220 loss: 1.5491 (1.5410) loss_classifier: 0.0662 (0.0805) loss_box_reg: 0.1085 (0.0898) loss_objectness: 0.0077 (0.0235) loss_rpn_box_reg: 0.0083 (0.0157) loss_da_image: 0.6735 (0.6677) loss_da_instance: 0.6580 (0.6570) loss_da_consistency: 0.0076 (0.0067) time: 0.8335 (0.8350) data: 0.0627 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:13:01,797 maskrcnn_benchmark.trainer INFO: eta: 8:45:30 iter: 32240 loss: 1.4663 (1.5410) loss_classifier: 0.0580 (0.0805) loss_box_reg: 0.0536 (0.0898) loss_objectness: 0.0110 (0.0235) loss_rpn_box_reg: 0.0062 (0.0157) loss_da_image: 0.6690 (0.6677) loss_da_instance: 0.6630 (0.6570) loss_da_consistency: 0.0064 (0.0067) time: 0.8324 (0.8350) data: 0.0645 (0.0641) lr: 0.001000 max mem: 4018
2019-10-25 21:13:18,472 maskrcnn_benchmark.trainer INFO: eta: 8:45:13 iter: 32260 loss: 1.5046 (1.5410) loss_classifier: 0.0555 (0.0805) loss_box_reg: 0.0912 (0.0898) loss_objectness: 0.0079 (0.0235) loss_rpn_box_reg: 0.0082 (0.0157) loss_da_image: 0.6757 (0.6677) loss_da_instance: 0.6619 (0.6570) loss_da_consistency: 0.0060 (0.0067) time: 0.8340 (
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