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April 22, 2020 02:09
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lane line detection
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| name: "lane line detection" | |
| #layer { | |
| # name: "data_lane" | |
| # type: "LaneLineData" | |
| # top: "data_lane" | |
| # top: "label_lane" | |
| # transform_param { | |
| # mean_value: 95 | |
| # mean_value: 99 | |
| # mean_value: 96 | |
| # mirror: false | |
| # } | |
| # lane_line_param { | |
| # lane_parsing: false | |
| # lane_reg: true | |
| # label_road_col: 5 | |
| # label_lane_col: 4 | |
| # downsample: 8 | |
| # road_num: 3 | |
| # center_line_mask_ratio: 0.3 | |
| # debug: false | |
| # single_thread: false | |
| # label_height_reverse: true | |
| # } | |
| # image_data_param { | |
| # root_folder: "data/lane_line_l4/" | |
| # source: "data/lane_line_l4/train_list.txt" | |
| # batch_size: 8 | |
| # shuffle: true | |
| # start_height: 80 #300 | |
| # crop_height: 960 | |
| # crop_width: 960 #1920 | |
| # new_height: 768 #384 | |
| # new_width: 768 | |
| # # lane_fill_pixels_700: 3 | |
| # # lane_fill_pixels_1200: 18 | |
| # } | |
| # include { | |
| # phase: TRAIN | |
| # } | |
| #} | |
| layer { | |
| name: "data" | |
| type: "Input" | |
| top: "data" | |
| input_param { | |
| shape { | |
| dim: 1 | |
| dim: 3 #640 | |
| dim: 640 #1920 | |
| dim: 1536 | |
| } | |
| } | |
| } | |
| ############################################ Entry flow #################################################### | |
| ############## conv1 ############## | |
| layer { | |
| name: "conv1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 2 | |
| bias_term: false | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "conv1" | |
| name: "bn_conv1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "conv1" | |
| name: "scale_conv1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| bottom: "conv1" | |
| top: "conv1" | |
| } | |
| ############## conv2 ############## | |
| layer { | |
| name: "conv2" | |
| type: "Convolution" | |
| bottom: "conv1" | |
| top: "conv2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| pad: 1 | |
| kernel_size: 3 | |
| bias_term: false | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "conv2" | |
| top: "conv2" | |
| name: "bn_conv2" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "conv2" | |
| top: "conv2" | |
| name: "scale_conv2" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv2_relu" | |
| type: "ReLU" | |
| bottom: "conv2" | |
| top: "conv2" | |
| } | |
| ####################### pooling 1 ########################## | |
| layer { | |
| bottom: "conv2" | |
| top: "pool1" | |
| name: "pool1" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 2 | |
| stride: 2 | |
| pool: MAX | |
| } | |
| } | |
| ############################ res2a ############################ | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "bn2a_branch1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "bn2a_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2b" | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "bn2a_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| bottom: "res2a_branch2b" | |
| top: "res2a" | |
| name: "res2a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2a" | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| } | |
| ############################ res2b ############################ | |
| layer { | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "bn2b_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2b" | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "bn2b_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| bottom: "res2b_branch2b" | |
| top: "res2b" | |
| name: "res2b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2b" | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| } | |
| ######################## res 3a ######################## | |
| layer { | |
| bottom: "res2b" | |
| top: "res3a_branch1" | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| name: "bn3a_branch1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res3a_branch2a" | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "bn3a_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2b" | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "bn3a_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| bottom: "res3a_branch2b" | |
| top: "res3a" | |
| name: "res3a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3a" | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| } | |
| ####################### res 3b #################### | |
| layer { | |
| bottom: "res3a" | |
| top: "res3b_branch2a" | |
| name: "res3b_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a" | |
| name: "bn3b_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a" | |
| name: "scale3b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2a" | |
| name: "res3b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b_branch2a" | |
| top: "res3b_branch2b" | |
| name: "res3b_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2b" | |
| name: "bn3b_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3b_branch2b" | |
| top: "res3b_branch2b" | |
| name: "scale3b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| bottom: "res3b_branch2b" | |
| top: "res3b" | |
| name: "res3b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res3b" | |
| top: "res3b" | |
| name: "res3b_relu" | |
| type: "ReLU" | |
| } | |
| #################### res 3c ################## | |
| layer { | |
| bottom: "res3b" | |
| top: "res3c_branch2a" | |
| name: "res3c_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2a" | |
| name: "bn3c_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2a" | |
| name: "scale3c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2a" | |
| name: "res3c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3c_branch2a" | |
| top: "res3c_branch2b" | |
| name: "res3c_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_branch2b" | |
| top: "res3c_branch2b" | |
| name: "bn3c_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3c_branch2b" | |
| top: "res3c_branch2b" | |
| name: "scale3c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3b" | |
| bottom: "res3c_branch2b" | |
| top: "res3c" | |
| name: "res3c" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res3c" | |
| top: "res3c" | |
| name: "res3c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3c" | |
| top: "res3c_input_8" | |
| name: "res3c_input_8" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_input_8" | |
| top: "res3c_input_8" | |
| name: "bnres3c_input_8" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res3c_input_8" | |
| top: "res3c_input_8" | |
| name: "scaleres3c_input_8" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3c_input_8" | |
| top: "res3c_input_8" | |
| name: "res3c_input_8_relu" | |
| type: "ReLU" | |
| } | |
| ################### res 4a #################### | |
| layer { | |
| bottom: "res3c" | |
| top: "res4a_branch1" | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| name: "bn4a_branch1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res3c" | |
| top: "res4a_branch2a" | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "bn4a_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2b" | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "bn4a_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| bottom: "res4a_branch2b" | |
| top: "res4a" | |
| name: "res4a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4a" | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| } | |
| ######################### res 4b ######################## | |
| layer { | |
| bottom: "res4a" | |
| top: "res4b_branch2a" | |
| name: "res4b_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| #kernel_size: 3 | |
| kernel_h: 3 | |
| kernel_w: 5 | |
| pad_h: 1 | |
| pad_w: 2 | |
| #pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a" | |
| name: "bn4b_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a" | |
| name: "scale4b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2a" | |
| name: "res4b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b_branch2a" | |
| top: "res4b_branch2b" | |
| name: "res4b_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| #kernel_size: 3 | |
| kernel_h: 3 | |
| kernel_w: 5 | |
| pad_h: 1 | |
| pad_w: 2 | |
| #pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2b" | |
| name: "bn4b_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4b_branch2b" | |
| top: "res4b_branch2b" | |
| name: "scale4b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| bottom: "res4b_branch2b" | |
| top: "res4b" | |
| name: "res4b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res4b" | |
| top: "res4b" | |
| name: "res4b_relu" | |
| type: "ReLU" | |
| } | |
| ######################## res 4c ############### | |
| layer { | |
| bottom: "res4b" | |
| top: "res4c_branch2a" | |
| name: "res4c_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| #kernel_size: 3 | |
| kernel_h: 3 | |
| kernel_w: 5 | |
| pad_h: 1 | |
| pad_w: 2 | |
| #pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2a" | |
| name: "bn4c_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2a" | |
| name: "scale4c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2a" | |
| name: "res4c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4c_branch2a" | |
| top: "res4c_branch2b" | |
| name: "res4c_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| #kernel_size: 3 | |
| kernel_h: 3 | |
| kernel_w: 5 | |
| pad_h: 1 | |
| pad_w: 2 | |
| #pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4c_branch2b" | |
| top: "res4c_branch2b" | |
| name: "bn4c_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4c_branch2b" | |
| top: "res4c_branch2b" | |
| name: "scale4c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4b" | |
| bottom: "res4c_branch2b" | |
| top: "res4c" | |
| name: "res4c" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res4c" | |
| top: "res4c" | |
| name: "res4c_relu" | |
| type: "ReLU" | |
| } | |
| ######################## res 4d ####################### | |
| layer { | |
| bottom: "res4c" | |
| top: "res4d_branch2a" | |
| name: "res4d_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| #kernel_size: 3 | |
| kernel_h: 3 | |
| kernel_w: 5 | |
| pad_h: 1 | |
| pad_w: 2 | |
| #pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2a" | |
| name: "bn4d_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2a" | |
| name: "scale4d_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2a" | |
| name: "res4d_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4d_branch2a" | |
| top: "res4d_branch2b" | |
| name: "res4d_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| #kernel_size: 3 | |
| kernel_h: 3 | |
| kernel_w: 5 | |
| pad_h: 1 | |
| pad_w: 2 | |
| #pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_branch2b" | |
| top: "res4d_branch2b" | |
| name: "bn4d_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4d_branch2b" | |
| top: "res4d_branch2b" | |
| name: "scale4d_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4c" | |
| bottom: "res4d_branch2b" | |
| top: "res4d" | |
| name: "res4d" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res4d" | |
| top: "res4d" | |
| name: "res4d_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4d" | |
| top: "res4d_input_16" | |
| name: "res4d_input_16" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_input_16" | |
| top: "res4d_input_16" | |
| name: "bnres4d_input_16" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res4d_input_16" | |
| top: "res4d_input_16" | |
| name: "scaleres4d_input_16" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4d_input_16" | |
| top: "res4d_input_16" | |
| name: "res4d_input_16_relu" | |
| type: "ReLU" | |
| } | |
| #################### res 5a################### | |
| layer { | |
| bottom: "res4d" | |
| top: "res5a_branch1" | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 216 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| name: "bn5a_branch1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res4d" | |
| top: "res5a_branch2a" | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 216 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "bn5a_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2b" | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 216 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "bn5a_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| bottom: "res5a_branch2b" | |
| top: "res5a" | |
| name: "res5a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5a" | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| } | |
| ################### res 5b ################ | |
| layer { | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 216 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "bn5b_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2b" | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 216 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "bn5b_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| bottom: "res5b_branch2b" | |
| top: "res5b" | |
| name: "res5b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5b" | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5b_input_32" | |
| name: "res5b_input_32" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 216 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_input_32" | |
| top: "res5b_input_32" | |
| name: "bnres5b_input_32" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res5b_input_32" | |
| top: "res5b_input_32" | |
| name: "scaleres5b_input_32" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_input_32" | |
| top: "res5b_input_32" | |
| name: "res5b_input_32_relu" | |
| type: "ReLU" | |
| } | |
| #################### res 6a################### | |
| layer { | |
| bottom: "res5b" | |
| top: "res6a_branch1" | |
| name: "res6a_branch1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 324 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res6a_branch1" | |
| top: "res6a_branch1" | |
| name: "bn6a_branch1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res6a_branch1" | |
| top: "res6a_branch1" | |
| name: "scale6a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res6a_branch2a" | |
| name: "res6a_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 324 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res6a_branch2a" | |
| top: "res6a_branch2a" | |
| name: "bn6a_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res6a_branch2a" | |
| top: "res6a_branch2a" | |
| name: "scale6a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res6a_branch2a" | |
| top: "res6a_branch2a" | |
| name: "res6a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res6a_branch2a" | |
| top: "res6a_branch2b" | |
| name: "res6a_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 324 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res6a_branch2b" | |
| top: "res6a_branch2b" | |
| name: "bn6a_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res6a_branch2b" | |
| top: "res6a_branch2b" | |
| name: "scale6a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res6a_branch1" | |
| bottom: "res6a_branch2b" | |
| top: "res6a" | |
| name: "res6a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res6a" | |
| top: "res6a" | |
| name: "res6a_relu" | |
| type: "ReLU" | |
| } | |
| ################### res 6b ################ | |
| layer { | |
| bottom: "res6a" | |
| top: "res6b_branch2a" | |
| name: "res6b_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 324 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res6b_branch2a" | |
| top: "res6b_branch2a" | |
| name: "bn6b_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res6b_branch2a" | |
| top: "res6b_branch2a" | |
| name: "scale6b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res6b_branch2a" | |
| top: "res6b_branch2a" | |
| name: "res6b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res6b_branch2a" | |
| top: "res6b_branch2b" | |
| name: "res6b_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 324 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res6b_branch2b" | |
| top: "res6b_branch2b" | |
| name: "bn6b_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res6b_branch2b" | |
| top: "res6b_branch2b" | |
| name: "scale6b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res6a" | |
| bottom: "res6b_branch2b" | |
| top: "res6b" | |
| name: "res6b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res6b" | |
| top: "res6b" | |
| name: "res6b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res6b" | |
| top: "res6b_input_64" | |
| name: "res6b_input_64" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 324 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res6b_input_64" | |
| top: "res6b_input_64" | |
| name: "bnres6b_input_64" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res6b_input_64" | |
| top: "res6b_input_64" | |
| name: "scaleres6b_input_64" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res6b_input_64" | |
| top: "res6b_input_64" | |
| name: "res6b_input_64_relu" | |
| type: "ReLU" | |
| } | |
| #################### res 7a################### | |
| layer { | |
| bottom: "res6b" | |
| top: "res7a_branch1" | |
| name: "res7a_branch1" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 488 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res7a_branch1" | |
| top: "res7a_branch1" | |
| name: "bn7a_branch1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res7a_branch1" | |
| top: "res7a_branch1" | |
| name: "scale7a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res6b" | |
| top: "res7a_branch2a" | |
| name: "res7a_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 488 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res7a_branch2a" | |
| top: "res7a_branch2a" | |
| name: "bn7a_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res7a_branch2a" | |
| top: "res7a_branch2a" | |
| name: "scale7a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res7a_branch2a" | |
| top: "res7a_branch2a" | |
| name: "res7a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res7a_branch2a" | |
| top: "res7a_branch2b" | |
| name: "res7a_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 488 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res7a_branch2b" | |
| top: "res7a_branch2b" | |
| name: "bn7a_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res7a_branch2b" | |
| top: "res7a_branch2b" | |
| name: "scale7a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res7a_branch1" | |
| bottom: "res7a_branch2b" | |
| top: "res7a" | |
| name: "res7a" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res7a" | |
| top: "res7a" | |
| name: "res7a_relu" | |
| type: "ReLU" | |
| } | |
| ################### res 7b ################ | |
| layer { | |
| bottom: "res7a" | |
| top: "res7b_branch2a" | |
| name: "res7b_branch2a" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 488 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res7b_branch2a" | |
| top: "res7b_branch2a" | |
| name: "bn7b_branch2a" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res7b_branch2a" | |
| top: "res7b_branch2a" | |
| name: "scale7b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res7b_branch2a" | |
| top: "res7b_branch2a" | |
| name: "res7b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res7b_branch2a" | |
| top: "res7b_branch2b" | |
| name: "res7b_branch2b" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 488 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res7b_branch2b" | |
| top: "res7b_branch2b" | |
| name: "bn7b_branch2b" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res7b_branch2b" | |
| top: "res7b_branch2b" | |
| name: "scale7b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res7a" | |
| bottom: "res7b_branch2b" | |
| top: "res7b" | |
| name: "res7b" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "res7b" | |
| top: "res7b" | |
| name: "res7b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res7b" | |
| top: "res7b_input_128" | |
| name: "res7b_input_128" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 488 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "res7b_input_128" | |
| top: "res7b_input_128" | |
| name: "bnres7b_input_128" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "res7b_input_128" | |
| top: "res7b_input_128" | |
| name: "scaleres7b_input_128" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "res7b_input_128" | |
| top: "res7b_input_128" | |
| name: "res7b_input_128_relu" | |
| type: "ReLU" | |
| } | |
| #################################################################################################### | |
| ## Up Sampling ## | |
| #################################################################################################### | |
| ## DeConvolution ## | |
| layer { | |
| name: "deconv1" | |
| type: "Deconvolution" | |
| bottom: "res7b_input_128" | |
| top: "deconv1" | |
| param{ | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| kernel_size: 2 # {{2 * factor _ factor % 2}} 2 * 2 _ 0 | |
| stride: 2 # {{factor}} | |
| num_output: 324 # {{C}} | |
| pad: 0 # {{ceil((factor _ 1) / 2.)}} 2 _ 1 / 2 | |
| weight_filler: { type: "xavier" } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "deconv1" | |
| top: "deconv1" | |
| name: "bn_deconv1" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "deconv1" | |
| top: "deconv1" | |
| name: "scale_deconv1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv1" | |
| bottom: "deconv1" | |
| top: "deconv1" | |
| type: "ReLU" | |
| } | |
| layer { | |
| name: "reduce1_add" | |
| type: "Eltwise" | |
| bottom: "deconv1" | |
| bottom: "res6b_input_64" | |
| top: "reduce1_add" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "deconv2" | |
| type: "Deconvolution" | |
| bottom: "reduce1_add" | |
| top: "deconv2" | |
| param{ | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| kernel_size: 2 # {{2 * factor _ factor % 2}} 2 * 2 _ 0 | |
| stride: 2 # {{factor}} | |
| num_output: 216 # {{C}} | |
| pad: 0 # {{ceil((factor _ 1) / 2.)}} 2 _ 1 / 2 | |
| weight_filler: { type: "xavier" } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "deconv2" | |
| top: "deconv2" | |
| name: "bn_deconv2" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "deconv2" | |
| top: "deconv2" | |
| name: "scale_deconv2" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv2" | |
| bottom: "deconv2" | |
| top: "deconv2" | |
| type: "ReLU" | |
| } | |
| layer { | |
| name: "reduce2_add" | |
| type: "Eltwise" | |
| bottom: "deconv2" | |
| bottom: "res5b_input_32" | |
| top: "reduce2_add" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "deconv3" | |
| type: "Deconvolution" | |
| bottom: "reduce2_add" | |
| top: "deconv3" | |
| param{ | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| kernel_size: 2 # {{2 * factor _ factor % 2}} 2 * 2 _ 0 | |
| stride: 2 # {{factor}} | |
| num_output: 144 # {{C}} | |
| pad: 0 # {{ceil((factor _ 1) / 2.)}} 2 _ 1 / 2 | |
| weight_filler: { type: "xavier" } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "deconv3" | |
| top: "deconv3" | |
| name: "bn_deconv3" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "deconv3" | |
| top: "deconv3" | |
| name: "scale_deconv3" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv3" | |
| bottom: "deconv3" | |
| top: "deconv3" | |
| type: "ReLU" | |
| } | |
| layer { | |
| name: "reduce3_add" | |
| type: "Eltwise" | |
| bottom: "deconv3" | |
| bottom: "res4d_input_16" | |
| top: "reduce3_add" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "deconv4" | |
| type: "Deconvolution" | |
| bottom: "reduce3_add" | |
| top: "deconv4" | |
| param{ | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| kernel_size: 2 # {{2 * factor _ factor % 2}} 2 * 2 _ 0 | |
| stride: 2 # {{factor}} | |
| num_output: 96 # {{C}} | |
| pad: 0 # {{ceil((factor _ 1) / 2.)}} 2 _ 1 / 2 | |
| weight_filler: { type: "xavier" } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "deconv4" | |
| top: "deconv4" | |
| name: "bn_deconv4" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "deconv4" | |
| top: "deconv4" | |
| name: "scale_deconv4" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "relu_deconv4" | |
| bottom: "deconv4" | |
| top: "deconv4" | |
| type: "ReLU" | |
| } | |
| layer { | |
| name: "reduce4_add" | |
| type: "Eltwise" | |
| bottom: "deconv4" | |
| bottom: "res3c_input_8" | |
| top: "reduce4_add" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| ######## segmentation branch ############ | |
| ## DeConvolution 5 - 6 ## | |
| layer { | |
| bottom: "reduce4_add" | |
| top: "conv_out_final" | |
| name: "conv_out_final" | |
| type: "Convolution" | |
| param { | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "conv_out_final" | |
| top: "conv_out_final" | |
| name: "conv_out_final_bn" | |
| type: "BatchNorm" | |
| } | |
| layer { | |
| bottom: "conv_out_final" | |
| top: "conv_out_final" | |
| name: "conv_out_final_scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| name: "conv_out_final_relu" | |
| bottom: "conv_out_final" | |
| top: "conv_out_final" | |
| type: "ReLU" | |
| } | |
| ### deconv6 to conv and lane resample #### | |
| layer { | |
| name: "conv_out" | |
| type: "Convolution" | |
| bottom: "conv_out_final" | |
| top: "conv_out" | |
| param { | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| convolution_param { | |
| num_output: 9 | |
| bias_term: false | |
| pad: 1 | |
| kernel_size: 3 | |
| stride: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| } | |
| } | |
| #layer { | |
| # name: "slice_conv_out" | |
| # type: "Slice" | |
| # bottom: "conv_out" | |
| # top: "conv_out_center" | |
| # top: "conv_out_cx" | |
| # top: "conv_out_left_right" | |
| # top: "conv_out_lane" | |
| # slice_param { | |
| # axis: 1 | |
| # slice_point: 4 | |
| # slice_point: 5 | |
| # slice_point: 7 | |
| # } | |
| # | |
| #} | |
| # | |
| # | |
| # | |
| #layer { | |
| # name: "tanh_cx" | |
| # type: "TanH" | |
| # bottom: "conv_out_cx" | |
| # top: "tanh_cx" | |
| #} | |
| #layer { | |
| # name: "sigmoid_left_right" | |
| # type: "Sigmoid" | |
| # bottom: "conv_out_left_right" | |
| # top: "sigmoid_left_right" | |
| #} | |
| # | |
| #layer { | |
| # name: "slice_label" | |
| # type: "Slice" | |
| # bottom: "label_lane" | |
| # top: "label_center" | |
| # top: "label_cx" | |
| # top: "label_left_right" | |
| # top: "label_ignore" #road type | |
| # slice_param { | |
| # axis: 1 | |
| # slice_point: 1 | |
| # slice_point: 2 | |
| # slice_point: 4 | |
| # } | |
| #} | |
| # | |
| # | |
| # | |
| #layer{ | |
| # name:"loss_cls_center" | |
| # type:"SoftmaxWithLoss" | |
| # bottom:"conv_out_center" | |
| # bottom:"label_center" | |
| # top:"loss_cls_center" | |
| # loss_weight: 1 | |
| # loss_param { | |
| # ignore_label: 255 | |
| # } | |
| # include { | |
| # phase: TRAIN | |
| # } | |
| #} | |
| # | |
| #layer{ | |
| # name: "map_positive_center" | |
| # type: "LabelMapping" | |
| # bottom: "label_center" | |
| # top: "map_positive_center" | |
| # label_mapping_param{ | |
| # mapping { | |
| # src_label: 0 | |
| # map_label: 0 | |
| # } | |
| # mapping { | |
| # src_label: 1 | |
| # map_label: 1 | |
| # } | |
| # mapping { | |
| # src_label: 2 | |
| # map_label: 1 | |
| # } | |
| # mapping { | |
| # src_label: 3 | |
| # map_label: 1 | |
| # } | |
| # mapping { | |
| # src_label: 4 | |
| # map_label: 1 | |
| # } | |
| # } | |
| #} | |
| # | |
| #layer { | |
| # name: "loss_cx" | |
| # type: "EuclideanWithMaskLoss" | |
| # bottom: "tanh_cx" | |
| # bottom:"label_cx" | |
| # #mask | |
| # bottom: "map_positive_center" | |
| # top: "loss_cx" | |
| # loss_weight: 2 | |
| # euclidean_with_mask_loss_param { | |
| # is_valid_count: true | |
| # } | |
| # | |
| # | |
| #} | |
| # | |
| #layer { | |
| # name: "silence_blob" | |
| # type: "Silence" | |
| # bottom: "conv_out_lane" | |
| # bottom: "label_ignore" | |
| #} | |
| # | |
| # | |
| # | |
| # | |
| #layer { | |
| # name: 'loss_reg' | |
| # type: 'IouLineLoss' | |
| # bottom: 'sigmoid_left_right' | |
| # bottom: 'label_left_right' | |
| # top: 'loss_reg' | |
| # loss_weight: 2 | |
| # include { | |
| # phase: TRAIN | |
| # } | |
| #} |
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