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September 2, 2016 08:46
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| name: "ResNet_VOC0712_SSD_300x300_train" | |
| layer { | |
| name: "data" | |
| type: "AnnotatedData" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mirror: true | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| resize_param { | |
| prob: 1 | |
| resize_mode: WARP | |
| height: 300 | |
| width: 300 | |
| interp_mode: LINEAR | |
| interp_mode: AREA | |
| interp_mode: NEAREST | |
| interp_mode: CUBIC | |
| interp_mode: LANCZOS4 | |
| } | |
| emit_constraint { | |
| emit_type: CENTER | |
| } | |
| } | |
| data_param { | |
| source: "examples/VOC_toyota/VOC_toyota_trainval_lmdb" | |
| batch_size: 5 | |
| backend: LMDB | |
| } | |
| annotated_data_param { | |
| batch_sampler { | |
| max_sample: 1 | |
| max_trials: 1 | |
| } | |
| batch_sampler { | |
| sampler { | |
| min_scale: 0.3 | |
| max_scale: 1.0 | |
| min_aspect_ratio: 0.5 | |
| max_aspect_ratio: 2.0 | |
| } | |
| sample_constraint { | |
| min_jaccard_overlap: 0.1 | |
| } | |
| max_sample: 1 | |
| max_trials: 50 | |
| } | |
| batch_sampler { | |
| sampler { | |
| min_scale: 0.3 | |
| max_scale: 1.0 | |
| min_aspect_ratio: 0.5 | |
| max_aspect_ratio: 2.0 | |
| } | |
| sample_constraint { | |
| min_jaccard_overlap: 0.3 | |
| } | |
| max_sample: 1 | |
| max_trials: 50 | |
| } | |
| batch_sampler { | |
| sampler { | |
| min_scale: 0.3 | |
| max_scale: 1.0 | |
| min_aspect_ratio: 0.5 | |
| max_aspect_ratio: 2.0 | |
| } | |
| sample_constraint { | |
| min_jaccard_overlap: 0.5 | |
| } | |
| max_sample: 1 | |
| max_trials: 50 | |
| } | |
| batch_sampler { | |
| sampler { | |
| min_scale: 0.3 | |
| max_scale: 1.0 | |
| min_aspect_ratio: 0.5 | |
| max_aspect_ratio: 2.0 | |
| } | |
| sample_constraint { | |
| min_jaccard_overlap: 0.7 | |
| } | |
| max_sample: 1 | |
| max_trials: 50 | |
| } | |
| batch_sampler { | |
| sampler { | |
| min_scale: 0.3 | |
| max_scale: 1.0 | |
| min_aspect_ratio: 0.5 | |
| max_aspect_ratio: 2.0 | |
| } | |
| sample_constraint { | |
| min_jaccard_overlap: 0.9 | |
| } | |
| max_sample: 1 | |
| max_trials: 50 | |
| } | |
| batch_sampler { | |
| sampler { | |
| min_scale: 0.3 | |
| max_scale: 1.0 | |
| min_aspect_ratio: 0.5 | |
| max_aspect_ratio: 2.0 | |
| } | |
| sample_constraint { | |
| max_jaccard_overlap: 1.0 | |
| } | |
| max_sample: 1 | |
| max_trials: 50 | |
| } | |
| label_map_file: "data/VOC_toyota/labelmap_voc.prototxt" | |
| } | |
| } | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn_conv1" | |
| type: "BatchNorm" | |
| bottom: "conv1" | |
| top: "conv1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale_conv1" | |
| type: "Scale" | |
| bottom: "conv1" | |
| top: "conv1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| bottom: "conv1" | |
| top: "conv1" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| } | |
| layer { | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| } | |
| layer { | |
| name: "res2a_branch2c" | |
| type: "Convolution" | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2a_branch2c" | |
| type: "Scale" | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2a" | |
| type: "Eltwise" | |
| bottom: "res2a_branch1" | |
| bottom: "res2a_branch2c" | |
| top: "res2a" | |
| } | |
| layer { | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| bottom: "res2a" | |
| top: "res2a" | |
| } | |
| layer { | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| } | |
| layer { | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| } | |
| layer { | |
| name: "res2b_branch2c" | |
| type: "Convolution" | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2b_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2b_branch2c" | |
| type: "Scale" | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2b" | |
| type: "Eltwise" | |
| bottom: "res2a" | |
| bottom: "res2b_branch2c" | |
| top: "res2b" | |
| } | |
| layer { | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| bottom: "res2b" | |
| top: "res2b" | |
| } | |
| layer { | |
| name: "res2c_branch2a" | |
| type: "Convolution" | |
| bottom: "res2b" | |
| top: "res2c_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2c_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2c_branch2a" | |
| type: "Scale" | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2c_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| } | |
| layer { | |
| name: "res2c_branch2b" | |
| type: "Convolution" | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2c_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2c_branch2b" | |
| type: "Scale" | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2c_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| } | |
| layer { | |
| name: "res2c_branch2c" | |
| type: "Convolution" | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn2c_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale2c_branch2c" | |
| type: "Scale" | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res2c" | |
| type: "Eltwise" | |
| bottom: "res2b" | |
| bottom: "res2c_branch2c" | |
| top: "res2c" | |
| } | |
| layer { | |
| name: "res2c_relu" | |
| type: "ReLU" | |
| bottom: "res2c" | |
| top: "res2c" | |
| } | |
| layer { | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| bottom: "res2c" | |
| top: "res3a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| bottom: "res2c" | |
| top: "res3a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| } | |
| layer { | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| } | |
| layer { | |
| name: "res3a_branch2c" | |
| type: "Convolution" | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3a_branch2c" | |
| type: "Scale" | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3a" | |
| type: "Eltwise" | |
| bottom: "res3a_branch1" | |
| bottom: "res3a_branch2c" | |
| top: "res3a" | |
| } | |
| layer { | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| bottom: "res3a" | |
| top: "res3a" | |
| } | |
| layer { | |
| name: "res3b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res3a" | |
| top: "res3b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b1_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b1_branch2a" | |
| type: "Scale" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| } | |
| layer { | |
| name: "res3b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b1_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b1_branch2b" | |
| type: "Scale" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| } | |
| layer { | |
| name: "res3b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b1_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b1_branch2c" | |
| type: "Scale" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b1" | |
| type: "Eltwise" | |
| bottom: "res3a" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1" | |
| } | |
| layer { | |
| name: "res3b1_relu" | |
| type: "ReLU" | |
| bottom: "res3b1" | |
| top: "res3b1" | |
| } | |
| layer { | |
| name: "res3b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b1" | |
| top: "res3b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b2_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b2_branch2a" | |
| type: "Scale" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| } | |
| layer { | |
| name: "res3b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b2_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b2_branch2b" | |
| type: "Scale" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| } | |
| layer { | |
| name: "res3b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b2_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b2_branch2c" | |
| type: "Scale" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b2" | |
| type: "Eltwise" | |
| bottom: "res3b1" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2" | |
| } | |
| layer { | |
| name: "res3b2_relu" | |
| type: "ReLU" | |
| bottom: "res3b2" | |
| top: "res3b2" | |
| } | |
| layer { | |
| name: "res3b3_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b2" | |
| top: "res3b3_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b3_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b3_branch2a" | |
| type: "Scale" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| } | |
| layer { | |
| name: "res3b3_branch2b" | |
| type: "Convolution" | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b3_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b3_branch2b" | |
| type: "Scale" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| } | |
| layer { | |
| name: "res3b3_branch2c" | |
| type: "Convolution" | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn3b3_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale3b3_branch2c" | |
| type: "Scale" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3" | |
| type: "Eltwise" | |
| bottom: "res3b2" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3" | |
| } | |
| layer { | |
| name: "res3b3_relu" | |
| type: "ReLU" | |
| bottom: "res3b3" | |
| top: "res3b3" | |
| } | |
| layer { | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res4a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res4a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| } | |
| layer { | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| } | |
| layer { | |
| name: "res4a_branch2c" | |
| type: "Convolution" | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4a_branch2c" | |
| type: "Scale" | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4a" | |
| type: "Eltwise" | |
| bottom: "res4a_branch1" | |
| bottom: "res4a_branch2c" | |
| top: "res4a" | |
| } | |
| layer { | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| bottom: "res4a" | |
| top: "res4a" | |
| } | |
| layer { | |
| name: "res4b1_branch2a" | |
| type: "Convolution" | |
| bottom: "res4a" | |
| top: "res4b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b1_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b1_branch2a" | |
| type: "Scale" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| } | |
| layer { | |
| name: "res4b1_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b1_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b1_branch2b" | |
| type: "Scale" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b1_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| } | |
| layer { | |
| name: "res4b1_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b1_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b1_branch2c" | |
| type: "Scale" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b1" | |
| type: "Eltwise" | |
| bottom: "res4a" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1" | |
| } | |
| layer { | |
| name: "res4b1_relu" | |
| type: "ReLU" | |
| bottom: "res4b1" | |
| top: "res4b1" | |
| } | |
| layer { | |
| name: "res4b2_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b1" | |
| top: "res4b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b2_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b2_branch2a" | |
| type: "Scale" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| } | |
| layer { | |
| name: "res4b2_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b2_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b2_branch2b" | |
| type: "Scale" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b2_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| } | |
| layer { | |
| name: "res4b2_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b2_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b2_branch2c" | |
| type: "Scale" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b2" | |
| type: "Eltwise" | |
| bottom: "res4b1" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2" | |
| } | |
| layer { | |
| name: "res4b2_relu" | |
| type: "ReLU" | |
| bottom: "res4b2" | |
| top: "res4b2" | |
| } | |
| layer { | |
| name: "res4b3_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b2" | |
| top: "res4b3_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b3_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b3_branch2a" | |
| type: "Scale" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| } | |
| layer { | |
| name: "res4b3_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b3_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b3_branch2b" | |
| type: "Scale" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b3_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| } | |
| layer { | |
| name: "res4b3_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b3_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b3_branch2c" | |
| type: "Scale" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b3" | |
| type: "Eltwise" | |
| bottom: "res4b2" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3" | |
| } | |
| layer { | |
| name: "res4b3_relu" | |
| type: "ReLU" | |
| bottom: "res4b3" | |
| top: "res4b3" | |
| } | |
| layer { | |
| name: "res4b4_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b3" | |
| top: "res4b4_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b4_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b4_branch2a" | |
| type: "Scale" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| } | |
| layer { | |
| name: "res4b4_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b4_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b4_branch2b" | |
| type: "Scale" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b4_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| } | |
| layer { | |
| name: "res4b4_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b4_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b4_branch2c" | |
| type: "Scale" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b4" | |
| type: "Eltwise" | |
| bottom: "res4b3" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4" | |
| } | |
| layer { | |
| name: "res4b4_relu" | |
| type: "ReLU" | |
| bottom: "res4b4" | |
| top: "res4b4" | |
| } | |
| layer { | |
| name: "res4b5_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b4" | |
| top: "res4b5_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b5_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b5_branch2a" | |
| type: "Scale" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| } | |
| layer { | |
| name: "res4b5_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b5_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b5_branch2b" | |
| type: "Scale" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b5_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| } | |
| layer { | |
| name: "res4b5_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b5_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b5_branch2c" | |
| type: "Scale" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b5" | |
| type: "Eltwise" | |
| bottom: "res4b4" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5" | |
| } | |
| layer { | |
| name: "res4b5_relu" | |
| type: "ReLU" | |
| bottom: "res4b5" | |
| top: "res4b5" | |
| } | |
| layer { | |
| name: "res4b6_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b5" | |
| top: "res4b6_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b6_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b6_branch2a" | |
| type: "Scale" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| } | |
| layer { | |
| name: "res4b6_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b6_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b6_branch2b" | |
| type: "Scale" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b6_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| } | |
| layer { | |
| name: "res4b6_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b6_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b6_branch2c" | |
| type: "Scale" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b6" | |
| type: "Eltwise" | |
| bottom: "res4b5" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6" | |
| } | |
| layer { | |
| name: "res4b6_relu" | |
| type: "ReLU" | |
| bottom: "res4b6" | |
| top: "res4b6" | |
| } | |
| layer { | |
| name: "res4b7_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b6" | |
| top: "res4b7_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b7_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b7_branch2a" | |
| type: "Scale" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| } | |
| layer { | |
| name: "res4b7_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b7_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b7_branch2b" | |
| type: "Scale" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b7_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| } | |
| layer { | |
| name: "res4b7_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b7_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b7_branch2c" | |
| type: "Scale" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b7" | |
| type: "Eltwise" | |
| bottom: "res4b6" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7" | |
| } | |
| layer { | |
| name: "res4b7_relu" | |
| type: "ReLU" | |
| bottom: "res4b7" | |
| top: "res4b7" | |
| } | |
| layer { | |
| name: "res4b8_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b7" | |
| top: "res4b8_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b8_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b8_branch2a" | |
| type: "Scale" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| } | |
| layer { | |
| name: "res4b8_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b8_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b8_branch2b" | |
| type: "Scale" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b8_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| } | |
| layer { | |
| name: "res4b8_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b8_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b8_branch2c" | |
| type: "Scale" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b8" | |
| type: "Eltwise" | |
| bottom: "res4b7" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8" | |
| } | |
| layer { | |
| name: "res4b8_relu" | |
| type: "ReLU" | |
| bottom: "res4b8" | |
| top: "res4b8" | |
| } | |
| layer { | |
| name: "res4b9_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b8" | |
| top: "res4b9_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b9_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b9_branch2a" | |
| type: "Scale" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| } | |
| layer { | |
| name: "res4b9_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b9_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b9_branch2b" | |
| type: "Scale" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b9_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| } | |
| layer { | |
| name: "res4b9_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b9_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b9_branch2c" | |
| type: "Scale" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b9" | |
| type: "Eltwise" | |
| bottom: "res4b8" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9" | |
| } | |
| layer { | |
| name: "res4b9_relu" | |
| type: "ReLU" | |
| bottom: "res4b9" | |
| top: "res4b9" | |
| } | |
| layer { | |
| name: "res4b10_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b9" | |
| top: "res4b10_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b10_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b10_branch2a" | |
| type: "Scale" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| } | |
| layer { | |
| name: "res4b10_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b10_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b10_branch2b" | |
| type: "Scale" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b10_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| } | |
| layer { | |
| name: "res4b10_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b10_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b10_branch2c" | |
| type: "Scale" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b10" | |
| type: "Eltwise" | |
| bottom: "res4b9" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10" | |
| } | |
| layer { | |
| name: "res4b10_relu" | |
| type: "ReLU" | |
| bottom: "res4b10" | |
| top: "res4b10" | |
| } | |
| layer { | |
| name: "res4b11_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b10" | |
| top: "res4b11_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b11_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b11_branch2a" | |
| type: "Scale" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| } | |
| layer { | |
| name: "res4b11_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b11_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b11_branch2b" | |
| type: "Scale" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b11_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| } | |
| layer { | |
| name: "res4b11_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b11_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b11_branch2c" | |
| type: "Scale" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b11" | |
| type: "Eltwise" | |
| bottom: "res4b10" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11" | |
| } | |
| layer { | |
| name: "res4b11_relu" | |
| type: "ReLU" | |
| bottom: "res4b11" | |
| top: "res4b11" | |
| } | |
| layer { | |
| name: "res4b12_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b11" | |
| top: "res4b12_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b12_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b12_branch2a" | |
| type: "Scale" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| } | |
| layer { | |
| name: "res4b12_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b12_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b12_branch2b" | |
| type: "Scale" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b12_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| } | |
| layer { | |
| name: "res4b12_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b12_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b12_branch2c" | |
| type: "Scale" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b12" | |
| type: "Eltwise" | |
| bottom: "res4b11" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12" | |
| } | |
| layer { | |
| name: "res4b12_relu" | |
| type: "ReLU" | |
| bottom: "res4b12" | |
| top: "res4b12" | |
| } | |
| layer { | |
| name: "res4b13_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b12" | |
| top: "res4b13_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b13_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b13_branch2a" | |
| type: "Scale" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| } | |
| layer { | |
| name: "res4b13_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b13_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b13_branch2b" | |
| type: "Scale" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b13_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| } | |
| layer { | |
| name: "res4b13_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b13_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b13_branch2c" | |
| type: "Scale" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b13" | |
| type: "Eltwise" | |
| bottom: "res4b12" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13" | |
| } | |
| layer { | |
| name: "res4b13_relu" | |
| type: "ReLU" | |
| bottom: "res4b13" | |
| top: "res4b13" | |
| } | |
| layer { | |
| name: "res4b14_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b13" | |
| top: "res4b14_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b14_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b14_branch2a" | |
| type: "Scale" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| } | |
| layer { | |
| name: "res4b14_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b14_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b14_branch2b" | |
| type: "Scale" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b14_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| } | |
| layer { | |
| name: "res4b14_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b14_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b14_branch2c" | |
| type: "Scale" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b14" | |
| type: "Eltwise" | |
| bottom: "res4b13" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14" | |
| } | |
| layer { | |
| name: "res4b14_relu" | |
| type: "ReLU" | |
| bottom: "res4b14" | |
| top: "res4b14" | |
| } | |
| layer { | |
| name: "res4b15_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b14" | |
| top: "res4b15_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b15_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b15_branch2a" | |
| type: "Scale" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| } | |
| layer { | |
| name: "res4b15_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b15_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b15_branch2b" | |
| type: "Scale" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b15_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| } | |
| layer { | |
| name: "res4b15_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b15_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b15_branch2c" | |
| type: "Scale" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b15" | |
| type: "Eltwise" | |
| bottom: "res4b14" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15" | |
| } | |
| layer { | |
| name: "res4b15_relu" | |
| type: "ReLU" | |
| bottom: "res4b15" | |
| top: "res4b15" | |
| } | |
| layer { | |
| name: "res4b16_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b15" | |
| top: "res4b16_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b16_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b16_branch2a" | |
| type: "Scale" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| } | |
| layer { | |
| name: "res4b16_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b16_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b16_branch2b" | |
| type: "Scale" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b16_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| } | |
| layer { | |
| name: "res4b16_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b16_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b16_branch2c" | |
| type: "Scale" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b16" | |
| type: "Eltwise" | |
| bottom: "res4b15" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16" | |
| } | |
| layer { | |
| name: "res4b16_relu" | |
| type: "ReLU" | |
| bottom: "res4b16" | |
| top: "res4b16" | |
| } | |
| layer { | |
| name: "res4b17_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b16" | |
| top: "res4b17_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b17_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b17_branch2a" | |
| type: "Scale" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| } | |
| layer { | |
| name: "res4b17_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b17_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b17_branch2b" | |
| type: "Scale" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b17_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| } | |
| layer { | |
| name: "res4b17_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b17_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b17_branch2c" | |
| type: "Scale" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b17" | |
| type: "Eltwise" | |
| bottom: "res4b16" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17" | |
| } | |
| layer { | |
| name: "res4b17_relu" | |
| type: "ReLU" | |
| bottom: "res4b17" | |
| top: "res4b17" | |
| } | |
| layer { | |
| name: "res4b18_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b17" | |
| top: "res4b18_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b18_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b18_branch2a" | |
| type: "Scale" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| } | |
| layer { | |
| name: "res4b18_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b18_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b18_branch2b" | |
| type: "Scale" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b18_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| } | |
| layer { | |
| name: "res4b18_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b18_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b18_branch2c" | |
| type: "Scale" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b18" | |
| type: "Eltwise" | |
| bottom: "res4b17" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18" | |
| } | |
| layer { | |
| name: "res4b18_relu" | |
| type: "ReLU" | |
| bottom: "res4b18" | |
| top: "res4b18" | |
| } | |
| layer { | |
| name: "res4b19_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b18" | |
| top: "res4b19_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b19_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b19_branch2a" | |
| type: "Scale" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| } | |
| layer { | |
| name: "res4b19_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b19_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b19_branch2b" | |
| type: "Scale" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b19_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| } | |
| layer { | |
| name: "res4b19_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b19_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b19_branch2c" | |
| type: "Scale" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b19" | |
| type: "Eltwise" | |
| bottom: "res4b18" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19" | |
| } | |
| layer { | |
| name: "res4b19_relu" | |
| type: "ReLU" | |
| bottom: "res4b19" | |
| top: "res4b19" | |
| } | |
| layer { | |
| name: "res4b20_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b19" | |
| top: "res4b20_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b20_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b20_branch2a" | |
| type: "Scale" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| } | |
| layer { | |
| name: "res4b20_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b20_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b20_branch2b" | |
| type: "Scale" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b20_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| } | |
| layer { | |
| name: "res4b20_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b20_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b20_branch2c" | |
| type: "Scale" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b20" | |
| type: "Eltwise" | |
| bottom: "res4b19" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20" | |
| } | |
| layer { | |
| name: "res4b20_relu" | |
| type: "ReLU" | |
| bottom: "res4b20" | |
| top: "res4b20" | |
| } | |
| layer { | |
| name: "res4b21_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b20" | |
| top: "res4b21_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b21_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b21_branch2a" | |
| type: "Scale" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| } | |
| layer { | |
| name: "res4b21_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b21_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b21_branch2b" | |
| type: "Scale" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b21_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| } | |
| layer { | |
| name: "res4b21_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b21_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b21_branch2c" | |
| type: "Scale" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b21" | |
| type: "Eltwise" | |
| bottom: "res4b20" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21" | |
| } | |
| layer { | |
| name: "res4b21_relu" | |
| type: "ReLU" | |
| bottom: "res4b21" | |
| top: "res4b21" | |
| } | |
| layer { | |
| name: "res4b22_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b21" | |
| top: "res4b22_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b22_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b22_branch2a" | |
| type: "Scale" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| } | |
| layer { | |
| name: "res4b22_branch2b" | |
| type: "Convolution" | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b22_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b22_branch2b" | |
| type: "Scale" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b22_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| } | |
| layer { | |
| name: "res4b22_branch2c" | |
| type: "Convolution" | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn4b22_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale4b22_branch2c" | |
| type: "Scale" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res4b22" | |
| type: "Eltwise" | |
| bottom: "res4b21" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22" | |
| } | |
| layer { | |
| name: "res4b22_relu" | |
| type: "ReLU" | |
| bottom: "res4b22" | |
| top: "res4b22" | |
| } | |
| layer { | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| bottom: "res4b22" | |
| top: "res5a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch1" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| bottom: "res4b22" | |
| top: "res5a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| } | |
| layer { | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 2 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| dilation: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| } | |
| layer { | |
| name: "res5a_branch2c" | |
| type: "Convolution" | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5a_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5a_branch2c" | |
| type: "Scale" | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5a" | |
| type: "Eltwise" | |
| bottom: "res5a_branch1" | |
| bottom: "res5a_branch2c" | |
| top: "res5a" | |
| } | |
| layer { | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| bottom: "res5a" | |
| top: "res5a" | |
| } | |
| layer { | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| } | |
| layer { | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 2 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| dilation: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| } | |
| layer { | |
| name: "res5b_branch2c" | |
| type: "Convolution" | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5b_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5b_branch2c" | |
| type: "Scale" | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5b" | |
| type: "Eltwise" | |
| bottom: "res5a" | |
| bottom: "res5b_branch2c" | |
| top: "res5b" | |
| } | |
| layer { | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| bottom: "res5b" | |
| top: "res5b" | |
| } | |
| layer { | |
| name: "res5c_branch2a" | |
| type: "Convolution" | |
| bottom: "res5b" | |
| top: "res5c_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5c_branch2a" | |
| type: "BatchNorm" | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5c_branch2a" | |
| type: "Scale" | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_branch2a_relu" | |
| type: "ReLU" | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| } | |
| layer { | |
| name: "res5c_branch2b" | |
| type: "Convolution" | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 2 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| dilation: 2 | |
| } | |
| } | |
| layer { | |
| name: "bn5c_branch2b" | |
| type: "BatchNorm" | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5c_branch2b" | |
| type: "Scale" | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_branch2b_relu" | |
| type: "ReLU" | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| } | |
| layer { | |
| name: "res5c_branch2c" | |
| type: "Convolution" | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 2048 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bn5c_branch2c" | |
| type: "BatchNorm" | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "scale5c_branch2c" | |
| type: "Scale" | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c" | |
| type: "Eltwise" | |
| bottom: "res5b" | |
| bottom: "res5c_branch2c" | |
| top: "res5c" | |
| } | |
| layer { | |
| name: "res5c_relu" | |
| type: "ReLU" | |
| bottom: "res5c" | |
| top: "res5c" | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_1" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "res5c_relu/conv1_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_1_bn" | |
| type: "BatchNorm" | |
| bottom: "res5c_relu/conv1_1" | |
| top: "res5c_relu/conv1_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_1_scale" | |
| type: "Scale" | |
| bottom: "res5c_relu/conv1_1" | |
| top: "res5c_relu/conv1_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_1_relu" | |
| type: "ReLU" | |
| bottom: "res5c_relu/conv1_1" | |
| top: "res5c_relu/conv1_1" | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv1_1" | |
| top: "res5c_relu/conv1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_bn" | |
| type: "BatchNorm" | |
| bottom: "res5c_relu/conv1_2" | |
| top: "res5c_relu/conv1_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_scale" | |
| type: "Scale" | |
| bottom: "res5c_relu/conv1_2" | |
| top: "res5c_relu/conv1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_relu" | |
| type: "ReLU" | |
| bottom: "res5c_relu/conv1_2" | |
| top: "res5c_relu/conv1_2" | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_1" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv1_2" | |
| top: "res5c_relu/conv2_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_1_bn" | |
| type: "BatchNorm" | |
| bottom: "res5c_relu/conv2_1" | |
| top: "res5c_relu/conv2_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_1_scale" | |
| type: "Scale" | |
| bottom: "res5c_relu/conv2_1" | |
| top: "res5c_relu/conv2_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_1_relu" | |
| type: "ReLU" | |
| bottom: "res5c_relu/conv2_1" | |
| top: "res5c_relu/conv2_1" | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv2_1" | |
| top: "res5c_relu/conv2_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_bn" | |
| type: "BatchNorm" | |
| bottom: "res5c_relu/conv2_2" | |
| top: "res5c_relu/conv2_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_scale" | |
| type: "Scale" | |
| bottom: "res5c_relu/conv2_2" | |
| top: "res5c_relu/conv2_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_relu" | |
| type: "ReLU" | |
| bottom: "res5c_relu/conv2_2" | |
| top: "res5c_relu/conv2_2" | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_1" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv2_2" | |
| top: "res5c_relu/conv3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| bias_term: false | |
| pad: 0 | |
| kernel_size: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_1_bn" | |
| type: "BatchNorm" | |
| bottom: "res5c_relu/conv3_1" | |
| top: "res5c_relu/conv3_1" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_1_scale" | |
| type: "Scale" | |
| bottom: "res5c_relu/conv3_1" | |
| top: "res5c_relu/conv3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_1_relu" | |
| type: "ReLU" | |
| bottom: "res5c_relu/conv3_1" | |
| top: "res5c_relu/conv3_1" | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv3_1" | |
| top: "res5c_relu/conv3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_bn" | |
| type: "BatchNorm" | |
| bottom: "res5c_relu/conv3_2" | |
| top: "res5c_relu/conv3_2" | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 0 | |
| decay_mult: 0 | |
| } | |
| batch_norm_param { | |
| eps: 0.001 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_scale" | |
| type: "Scale" | |
| bottom: "res5c_relu/conv3_2" | |
| top: "res5c_relu/conv3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 0 | |
| } | |
| scale_param { | |
| filler { | |
| type: "constant" | |
| value: 1.0 | |
| } | |
| bias_term: true | |
| bias_filler { | |
| type: "constant" | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_relu" | |
| type: "ReLU" | |
| bottom: "res5c_relu/conv3_2" | |
| top: "res5c_relu/conv3_2" | |
| } | |
| layer { | |
| name: "pool6" | |
| type: "Pooling" | |
| bottom: "res5c_relu/conv3_2" | |
| top: "pool6" | |
| pooling_param { | |
| pool: AVE | |
| global_pooling: true | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_loc" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res3b3_relu_mbox_loc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 12 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_loc_perm" | |
| type: "Permute" | |
| bottom: "res3b3_relu_mbox_loc" | |
| top: "res3b3_relu_mbox_loc_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_loc_flat" | |
| type: "Flatten" | |
| bottom: "res3b3_relu_mbox_loc_perm" | |
| top: "res3b3_relu_mbox_loc_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_conf" | |
| type: "Convolution" | |
| bottom: "res3b3" | |
| top: "res3b3_relu_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 27 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_conf_perm" | |
| type: "Permute" | |
| bottom: "res3b3_relu_mbox_conf" | |
| top: "res3b3_relu_mbox_conf_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_conf_flat" | |
| type: "Flatten" | |
| bottom: "res3b3_relu_mbox_conf_perm" | |
| top: "res3b3_relu_mbox_conf_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res3b3_relu_mbox_priorbox" | |
| type: "PriorBox" | |
| bottom: "res3b3" | |
| bottom: "data" | |
| top: "res3b3_relu_mbox_priorbox" | |
| prior_box_param { | |
| min_size: 30.0 | |
| aspect_ratio: 2 | |
| flip: true | |
| clip: true | |
| variance: 0.1 | |
| variance: 0.1 | |
| variance: 0.2 | |
| variance: 0.2 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_loc" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "res5c_relu_mbox_loc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_loc_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu_mbox_loc" | |
| top: "res5c_relu_mbox_loc_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_loc_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu_mbox_loc_perm" | |
| top: "res5c_relu_mbox_loc_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_conf" | |
| type: "Convolution" | |
| bottom: "res5c" | |
| top: "res5c_relu_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 54 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_conf_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu_mbox_conf" | |
| top: "res5c_relu_mbox_conf_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_conf_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu_mbox_conf_perm" | |
| top: "res5c_relu_mbox_conf_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu_mbox_priorbox" | |
| type: "PriorBox" | |
| bottom: "res5c" | |
| bottom: "data" | |
| top: "res5c_relu_mbox_priorbox" | |
| prior_box_param { | |
| min_size: 60.0 | |
| max_size: 114.0 | |
| aspect_ratio: 2 | |
| aspect_ratio: 3 | |
| flip: true | |
| clip: true | |
| variance: 0.1 | |
| variance: 0.1 | |
| variance: 0.2 | |
| variance: 0.2 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_loc" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv1_2" | |
| top: "res5c_relu/conv1_2_mbox_loc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_loc_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu/conv1_2_mbox_loc" | |
| top: "res5c_relu/conv1_2_mbox_loc_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_loc_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu/conv1_2_mbox_loc_perm" | |
| top: "res5c_relu/conv1_2_mbox_loc_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_conf" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv1_2" | |
| top: "res5c_relu/conv1_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 54 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_conf_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu/conv1_2_mbox_conf" | |
| top: "res5c_relu/conv1_2_mbox_conf_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_conf_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu/conv1_2_mbox_conf_perm" | |
| top: "res5c_relu/conv1_2_mbox_conf_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv1_2_mbox_priorbox" | |
| type: "PriorBox" | |
| bottom: "res5c_relu/conv1_2" | |
| bottom: "data" | |
| top: "res5c_relu/conv1_2_mbox_priorbox" | |
| prior_box_param { | |
| min_size: 114.0 | |
| max_size: 168.0 | |
| aspect_ratio: 2 | |
| aspect_ratio: 3 | |
| flip: true | |
| clip: true | |
| variance: 0.1 | |
| variance: 0.1 | |
| variance: 0.2 | |
| variance: 0.2 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_loc" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv2_2" | |
| top: "res5c_relu/conv2_2_mbox_loc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_loc_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu/conv2_2_mbox_loc" | |
| top: "res5c_relu/conv2_2_mbox_loc_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_loc_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu/conv2_2_mbox_loc_perm" | |
| top: "res5c_relu/conv2_2_mbox_loc_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_conf" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv2_2" | |
| top: "res5c_relu/conv2_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 54 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_conf_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu/conv2_2_mbox_conf" | |
| top: "res5c_relu/conv2_2_mbox_conf_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_conf_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu/conv2_2_mbox_conf_perm" | |
| top: "res5c_relu/conv2_2_mbox_conf_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv2_2_mbox_priorbox" | |
| type: "PriorBox" | |
| bottom: "res5c_relu/conv2_2" | |
| bottom: "data" | |
| top: "res5c_relu/conv2_2_mbox_priorbox" | |
| prior_box_param { | |
| min_size: 168.0 | |
| max_size: 222.0 | |
| aspect_ratio: 2 | |
| aspect_ratio: 3 | |
| flip: true | |
| clip: true | |
| variance: 0.1 | |
| variance: 0.1 | |
| variance: 0.2 | |
| variance: 0.2 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_loc" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv3_2" | |
| top: "res5c_relu/conv3_2_mbox_loc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_loc_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu/conv3_2_mbox_loc" | |
| top: "res5c_relu/conv3_2_mbox_loc_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_loc_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu/conv3_2_mbox_loc_perm" | |
| top: "res5c_relu/conv3_2_mbox_loc_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_conf" | |
| type: "Convolution" | |
| bottom: "res5c_relu/conv3_2" | |
| top: "res5c_relu/conv3_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 54 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_conf_perm" | |
| type: "Permute" | |
| bottom: "res5c_relu/conv3_2_mbox_conf" | |
| top: "res5c_relu/conv3_2_mbox_conf_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_conf_flat" | |
| type: "Flatten" | |
| bottom: "res5c_relu/conv3_2_mbox_conf_perm" | |
| top: "res5c_relu/conv3_2_mbox_conf_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "res5c_relu/conv3_2_mbox_priorbox" | |
| type: "PriorBox" | |
| bottom: "res5c_relu/conv3_2" | |
| bottom: "data" | |
| top: "res5c_relu/conv3_2_mbox_priorbox" | |
| prior_box_param { | |
| min_size: 222.0 | |
| max_size: 276.0 | |
| aspect_ratio: 2 | |
| aspect_ratio: 3 | |
| flip: true | |
| clip: true | |
| variance: 0.1 | |
| variance: 0.1 | |
| variance: 0.2 | |
| variance: 0.2 | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_loc" | |
| type: "Convolution" | |
| bottom: "pool6" | |
| top: "pool6_mbox_loc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_loc_perm" | |
| type: "Permute" | |
| bottom: "pool6_mbox_loc" | |
| top: "pool6_mbox_loc_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_loc_flat" | |
| type: "Flatten" | |
| bottom: "pool6_mbox_loc_perm" | |
| top: "pool6_mbox_loc_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_conf" | |
| type: "Convolution" | |
| bottom: "pool6" | |
| top: "pool6_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 54 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_conf_perm" | |
| type: "Permute" | |
| bottom: "pool6_mbox_conf" | |
| top: "pool6_mbox_conf_perm" | |
| permute_param { | |
| order: 0 | |
| order: 2 | |
| order: 3 | |
| order: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_conf_flat" | |
| type: "Flatten" | |
| bottom: "pool6_mbox_conf_perm" | |
| top: "pool6_mbox_conf_flat" | |
| flatten_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool6_mbox_priorbox" | |
| type: "PriorBox" | |
| bottom: "pool6" | |
| bottom: "data" | |
| top: "pool6_mbox_priorbox" | |
| prior_box_param { | |
| min_size: 276.0 | |
| max_size: 330.0 | |
| aspect_ratio: 2 | |
| aspect_ratio: 3 | |
| flip: true | |
| clip: true | |
| variance: 0.1 | |
| variance: 0.1 | |
| variance: 0.2 | |
| variance: 0.2 | |
| } | |
| } | |
| layer { | |
| name: "mbox_loc" | |
| type: "Concat" | |
| bottom: "res3b3_relu_mbox_loc_flat" | |
| bottom: "res5c_relu_mbox_loc_flat" | |
| bottom: "res5c_relu/conv1_2_mbox_loc_flat" | |
| bottom: "res5c_relu/conv2_2_mbox_loc_flat" | |
| bottom: "res5c_relu/conv3_2_mbox_loc_flat" | |
| bottom: "pool6_mbox_loc_flat" | |
| top: "mbox_loc" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "mbox_conf" | |
| type: "Concat" | |
| bottom: "res3b3_relu_mbox_conf_flat" | |
| bottom: "res5c_relu_mbox_conf_flat" | |
| bottom: "res5c_relu/conv1_2_mbox_conf_flat" | |
| bottom: "res5c_relu/conv2_2_mbox_conf_flat" | |
| bottom: "res5c_relu/conv3_2_mbox_conf_flat" | |
| bottom: "pool6_mbox_conf_flat" | |
| top: "mbox_conf" | |
| concat_param { | |
| axis: 1 | |
| } | |
| } | |
| layer { | |
| name: "mbox_priorbox" | |
| type: "Concat" | |
| bottom: "res3b3_relu_mbox_priorbox" | |
| bottom: "res5c_relu_mbox_priorbox" | |
| bottom: "res5c_relu/conv1_2_mbox_priorbox" | |
| bottom: "res5c_relu/conv2_2_mbox_priorbox" | |
| bottom: "res5c_relu/conv3_2_mbox_priorbox" | |
| bottom: "pool6_mbox_priorbox" | |
| top: "mbox_priorbox" | |
| concat_param { | |
| axis: 2 | |
| } | |
| } | |
| layer { | |
| name: "mbox_loss" | |
| type: "MultiBoxLoss" | |
| bottom: "mbox_loc" | |
| bottom: "mbox_conf" | |
| bottom: "mbox_priorbox" | |
| bottom: "label" | |
| top: "mbox_loss" | |
| include { | |
| phase: TRAIN | |
| } | |
| propagate_down: true | |
| propagate_down: true | |
| propagate_down: false | |
| propagate_down: false | |
| loss_param { | |
| normalization: VALID | |
| } | |
| multibox_loss_param { | |
| loc_loss_type: SMOOTH_L1 | |
| conf_loss_type: SOFTMAX | |
| loc_weight: 1.0 | |
| num_classes: 9 | |
| share_location: true | |
| match_type: PER_PREDICTION | |
| overlap_threshold: 0.5 | |
| use_prior_for_matching: true | |
| background_label_id: 0 | |
| use_difficult_gt: true | |
| do_neg_mining: true | |
| neg_pos_ratio: 3.0 | |
| neg_overlap: 0.5 | |
| code_type: CENTER_SIZE | |
| } | |
| } |
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