Last active
December 19, 2017 15:16
-
-
Save yhw-yhw/94d858e3bc3b21fe8ae241cba1fa02b3 to your computer and use it in GitHub Desktop.
caffe_model_prototxt for faster_rcnn_resnet101_with_ohem
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: "ResNet101" | |
| layer { | |
| name: 'input-data' | |
| type: 'Python' | |
| top: 'data' | |
| top: 'im_info' | |
| top: 'gt_boxes' | |
| python_param { | |
| module: 'roi_data_layer.layer' | |
| layer: 'RoIDataLayer' | |
| param_str: "'num_classes': 21" | |
| } | |
| } | |
| # ------------------------ conv1 ----------------------------- | |
| layer { | |
| bottom: "data" | |
| top: "conv1" | |
| name: "conv1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 7 | |
| pad: 3 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "conv1" | |
| name: "scale_conv1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "conv1" | |
| bottom: "conv1" | |
| name: "conv1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "conv1" | |
| top: "pool1" | |
| name: "pool1" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 3 | |
| stride: 2 | |
| pool: MAX | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch1" | |
| name: "res2a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| top: "res2a_branch1" | |
| name: "scale2a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "pool1" | |
| top: "res2a_branch2a" | |
| name: "res2a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2a" | |
| name: "scale2a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2a" | |
| bottom: "res2a_branch2a" | |
| name: "res2a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2a" | |
| top: "res2a_branch2b" | |
| name: "res2a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2b" | |
| name: "scale2a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res2a_branch2b" | |
| bottom: "res2a_branch2b" | |
| name: "res2a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a_branch2b" | |
| top: "res2a_branch2c" | |
| name: "res2a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch2c" | |
| top: "res2a_branch2c" | |
| name: "scale2a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a_branch1" | |
| bottom: "res2a_branch2c" | |
| top: "res2a" | |
| name: "res2a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2a" | |
| name: "res2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2a" | |
| top: "res2b_branch2a" | |
| name: "res2b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2a" | |
| name: "scale2b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2a" | |
| bottom: "res2b_branch2a" | |
| name: "res2b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2a" | |
| top: "res2b_branch2b" | |
| name: "res2b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2b" | |
| name: "scale2b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res2b_branch2b" | |
| bottom: "res2b_branch2b" | |
| name: "res2b_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b_branch2b" | |
| top: "res2b_branch2c" | |
| name: "res2b_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b_branch2c" | |
| top: "res2b_branch2c" | |
| name: "scale2b_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2a" | |
| bottom: "res2b_branch2c" | |
| top: "res2b" | |
| name: "res2b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2b" | |
| name: "res2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2b" | |
| top: "res2c_branch2a" | |
| name: "res2c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2a" | |
| name: "scale2c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2a" | |
| bottom: "res2c_branch2a" | |
| name: "res2c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2a" | |
| top: "res2c_branch2b" | |
| name: "res2c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2b" | |
| name: "scale2c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res2c_branch2b" | |
| bottom: "res2c_branch2b" | |
| name: "res2c_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c_branch2b" | |
| top: "res2c_branch2c" | |
| name: "res2c_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c_branch2c" | |
| top: "res2c_branch2c" | |
| name: "scale2c_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2b" | |
| bottom: "res2c_branch2c" | |
| top: "res2c" | |
| name: "res2c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res2c" | |
| name: "res2c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res3a_branch1" | |
| name: "res3a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| top: "res3a_branch1" | |
| name: "scale3a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res2c" | |
| top: "res3a_branch2a" | |
| name: "res3a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2a" | |
| name: "scale3a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2a" | |
| bottom: "res3a_branch2a" | |
| name: "res3a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2a" | |
| top: "res3a_branch2b" | |
| name: "res3a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2b" | |
| name: "scale3a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3a_branch2b" | |
| bottom: "res3a_branch2b" | |
| name: "res3a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a_branch2b" | |
| top: "res3a_branch2c" | |
| name: "res3a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch2c" | |
| top: "res3a_branch2c" | |
| name: "scale3a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a_branch1" | |
| bottom: "res3a_branch2c" | |
| top: "res3a" | |
| name: "res3a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3a" | |
| name: "res3a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3a" | |
| top: "res3b1_branch2a" | |
| name: "res3b1_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2a" | |
| name: "scale3b1_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2a" | |
| bottom: "res3b1_branch2a" | |
| name: "res3b1_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2a" | |
| top: "res3b1_branch2b" | |
| name: "res3b1_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2b" | |
| name: "scale3b1_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3b1_branch2b" | |
| bottom: "res3b1_branch2b" | |
| name: "res3b1_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1_branch2b" | |
| top: "res3b1_branch2c" | |
| name: "res3b1_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1_branch2c" | |
| name: "scale3b1_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3a" | |
| bottom: "res3b1_branch2c" | |
| top: "res3b1" | |
| name: "res3b1" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b1" | |
| top: "res3b1" | |
| name: "res3b1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b1" | |
| top: "res3b2_branch2a" | |
| name: "res3b2_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2a" | |
| name: "scale3b2_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2a" | |
| bottom: "res3b2_branch2a" | |
| name: "res3b2_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2a" | |
| top: "res3b2_branch2b" | |
| name: "res3b2_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2b" | |
| name: "scale3b2_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3b2_branch2b" | |
| bottom: "res3b2_branch2b" | |
| name: "res3b2_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2_branch2b" | |
| top: "res3b2_branch2c" | |
| name: "res3b2_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2_branch2c" | |
| name: "scale3b2_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b1" | |
| bottom: "res3b2_branch2c" | |
| top: "res3b2" | |
| name: "res3b2" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b2" | |
| top: "res3b2" | |
| name: "res3b2_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b2" | |
| top: "res3b3_branch2a" | |
| name: "res3b3_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2a" | |
| name: "scale3b3_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2a" | |
| bottom: "res3b3_branch2a" | |
| name: "res3b3_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2a" | |
| top: "res3b3_branch2b" | |
| name: "res3b3_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2b" | |
| name: "scale3b3_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res3b3_branch2b" | |
| bottom: "res3b3_branch2b" | |
| name: "res3b3_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3_branch2b" | |
| top: "res3b3_branch2c" | |
| name: "res3b3_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3_branch2c" | |
| name: "scale3b3_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b2" | |
| bottom: "res3b3_branch2c" | |
| top: "res3b3" | |
| name: "res3b3" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res3b3" | |
| top: "res3b3" | |
| name: "res3b3_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res3b3" | |
| top: "res4a_branch1" | |
| name: "res4a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| top: "res4a_branch1" | |
| name: "scale4a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res3b3" | |
| top: "res4a_branch2a" | |
| name: "res4a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2a" | |
| name: "scale4a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2a" | |
| bottom: "res4a_branch2a" | |
| name: "res4a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2a" | |
| top: "res4a_branch2b" | |
| name: "res4a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2b" | |
| name: "scale4a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4a_branch2b" | |
| bottom: "res4a_branch2b" | |
| name: "res4a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a_branch2b" | |
| top: "res4a_branch2c" | |
| name: "res4a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch2c" | |
| top: "res4a_branch2c" | |
| name: "scale4a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a_branch1" | |
| bottom: "res4a_branch2c" | |
| top: "res4a" | |
| name: "res4a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4a" | |
| name: "res4a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4a" | |
| top: "res4b1_branch2a" | |
| name: "res4b1_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2a" | |
| name: "scale4b1_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2a" | |
| bottom: "res4b1_branch2a" | |
| name: "res4b1_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2a" | |
| top: "res4b1_branch2b" | |
| name: "res4b1_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2b" | |
| name: "scale4b1_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b1_branch2b" | |
| bottom: "res4b1_branch2b" | |
| name: "res4b1_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1_branch2b" | |
| top: "res4b1_branch2c" | |
| name: "res4b1_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1_branch2c" | |
| name: "scale4b1_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4a" | |
| bottom: "res4b1_branch2c" | |
| top: "res4b1" | |
| name: "res4b1" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b1" | |
| top: "res4b1" | |
| name: "res4b1_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b1" | |
| top: "res4b2_branch2a" | |
| name: "res4b2_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2a" | |
| name: "scale4b2_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2a" | |
| bottom: "res4b2_branch2a" | |
| name: "res4b2_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2a" | |
| top: "res4b2_branch2b" | |
| name: "res4b2_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2b" | |
| name: "scale4b2_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b2_branch2b" | |
| bottom: "res4b2_branch2b" | |
| name: "res4b2_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2_branch2b" | |
| top: "res4b2_branch2c" | |
| name: "res4b2_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2_branch2c" | |
| name: "scale4b2_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b1" | |
| bottom: "res4b2_branch2c" | |
| top: "res4b2" | |
| name: "res4b2" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b2" | |
| top: "res4b2" | |
| name: "res4b2_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b2" | |
| top: "res4b3_branch2a" | |
| name: "res4b3_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2a" | |
| name: "scale4b3_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2a" | |
| bottom: "res4b3_branch2a" | |
| name: "res4b3_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2a" | |
| top: "res4b3_branch2b" | |
| name: "res4b3_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2b" | |
| name: "scale4b3_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b3_branch2b" | |
| bottom: "res4b3_branch2b" | |
| name: "res4b3_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3_branch2b" | |
| top: "res4b3_branch2c" | |
| name: "res4b3_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3_branch2c" | |
| name: "scale4b3_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b2" | |
| bottom: "res4b3_branch2c" | |
| top: "res4b3" | |
| name: "res4b3" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b3" | |
| top: "res4b3" | |
| name: "res4b3_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b3" | |
| top: "res4b4_branch2a" | |
| name: "res4b4_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2a" | |
| name: "scale4b4_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2a" | |
| bottom: "res4b4_branch2a" | |
| name: "res4b4_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2a" | |
| top: "res4b4_branch2b" | |
| name: "res4b4_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2b" | |
| name: "scale4b4_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b4_branch2b" | |
| bottom: "res4b4_branch2b" | |
| name: "res4b4_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4_branch2b" | |
| top: "res4b4_branch2c" | |
| name: "res4b4_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4_branch2c" | |
| name: "scale4b4_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b3" | |
| bottom: "res4b4_branch2c" | |
| top: "res4b4" | |
| name: "res4b4" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b4" | |
| top: "res4b4" | |
| name: "res4b4_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b4" | |
| top: "res4b5_branch2a" | |
| name: "res4b5_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2a" | |
| name: "scale4b5_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2a" | |
| bottom: "res4b5_branch2a" | |
| name: "res4b5_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2a" | |
| top: "res4b5_branch2b" | |
| name: "res4b5_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2b" | |
| name: "scale4b5_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b5_branch2b" | |
| bottom: "res4b5_branch2b" | |
| name: "res4b5_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5_branch2b" | |
| top: "res4b5_branch2c" | |
| name: "res4b5_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5_branch2c" | |
| name: "scale4b5_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b4" | |
| bottom: "res4b5_branch2c" | |
| top: "res4b5" | |
| name: "res4b5" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b5" | |
| top: "res4b5" | |
| name: "res4b5_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b5" | |
| top: "res4b6_branch2a" | |
| name: "res4b6_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2a" | |
| name: "scale4b6_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2a" | |
| bottom: "res4b6_branch2a" | |
| name: "res4b6_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2a" | |
| top: "res4b6_branch2b" | |
| name: "res4b6_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2b" | |
| name: "scale4b6_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b6_branch2b" | |
| bottom: "res4b6_branch2b" | |
| name: "res4b6_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6_branch2b" | |
| top: "res4b6_branch2c" | |
| name: "res4b6_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6_branch2c" | |
| name: "scale4b6_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b5" | |
| bottom: "res4b6_branch2c" | |
| top: "res4b6" | |
| name: "res4b6" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b6" | |
| top: "res4b6" | |
| name: "res4b6_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b6" | |
| top: "res4b7_branch2a" | |
| name: "res4b7_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2a" | |
| name: "scale4b7_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2a" | |
| bottom: "res4b7_branch2a" | |
| name: "res4b7_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2a" | |
| top: "res4b7_branch2b" | |
| name: "res4b7_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2b" | |
| name: "scale4b7_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b7_branch2b" | |
| bottom: "res4b7_branch2b" | |
| name: "res4b7_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7_branch2b" | |
| top: "res4b7_branch2c" | |
| name: "res4b7_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7_branch2c" | |
| name: "scale4b7_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b6" | |
| bottom: "res4b7_branch2c" | |
| top: "res4b7" | |
| name: "res4b7" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b7" | |
| top: "res4b7" | |
| name: "res4b7_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b7" | |
| top: "res4b8_branch2a" | |
| name: "res4b8_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2a" | |
| name: "scale4b8_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2a" | |
| bottom: "res4b8_branch2a" | |
| name: "res4b8_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2a" | |
| top: "res4b8_branch2b" | |
| name: "res4b8_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2b" | |
| name: "scale4b8_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b8_branch2b" | |
| bottom: "res4b8_branch2b" | |
| name: "res4b8_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8_branch2b" | |
| top: "res4b8_branch2c" | |
| name: "res4b8_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8_branch2c" | |
| name: "scale4b8_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b7" | |
| bottom: "res4b8_branch2c" | |
| top: "res4b8" | |
| name: "res4b8" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b8" | |
| top: "res4b8" | |
| name: "res4b8_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b8" | |
| top: "res4b9_branch2a" | |
| name: "res4b9_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2a" | |
| name: "scale4b9_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2a" | |
| bottom: "res4b9_branch2a" | |
| name: "res4b9_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2a" | |
| top: "res4b9_branch2b" | |
| name: "res4b9_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2b" | |
| name: "scale4b9_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b9_branch2b" | |
| bottom: "res4b9_branch2b" | |
| name: "res4b9_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9_branch2b" | |
| top: "res4b9_branch2c" | |
| name: "res4b9_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9_branch2c" | |
| name: "scale4b9_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b8" | |
| bottom: "res4b9_branch2c" | |
| top: "res4b9" | |
| name: "res4b9" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b9" | |
| top: "res4b9" | |
| name: "res4b9_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b9" | |
| top: "res4b10_branch2a" | |
| name: "res4b10_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2a" | |
| name: "scale4b10_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2a" | |
| bottom: "res4b10_branch2a" | |
| name: "res4b10_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2a" | |
| top: "res4b10_branch2b" | |
| name: "res4b10_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2b" | |
| name: "scale4b10_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b10_branch2b" | |
| bottom: "res4b10_branch2b" | |
| name: "res4b10_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10_branch2b" | |
| top: "res4b10_branch2c" | |
| name: "res4b10_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10_branch2c" | |
| name: "scale4b10_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b9" | |
| bottom: "res4b10_branch2c" | |
| top: "res4b10" | |
| name: "res4b10" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b10" | |
| top: "res4b10" | |
| name: "res4b10_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b10" | |
| top: "res4b11_branch2a" | |
| name: "res4b11_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2a" | |
| name: "scale4b11_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2a" | |
| bottom: "res4b11_branch2a" | |
| name: "res4b11_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2a" | |
| top: "res4b11_branch2b" | |
| name: "res4b11_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2b" | |
| name: "scale4b11_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b11_branch2b" | |
| bottom: "res4b11_branch2b" | |
| name: "res4b11_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11_branch2b" | |
| top: "res4b11_branch2c" | |
| name: "res4b11_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11_branch2c" | |
| name: "scale4b11_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b10" | |
| bottom: "res4b11_branch2c" | |
| top: "res4b11" | |
| name: "res4b11" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b11" | |
| top: "res4b11" | |
| name: "res4b11_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b11" | |
| top: "res4b12_branch2a" | |
| name: "res4b12_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2a" | |
| name: "scale4b12_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2a" | |
| bottom: "res4b12_branch2a" | |
| name: "res4b12_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2a" | |
| top: "res4b12_branch2b" | |
| name: "res4b12_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2b" | |
| name: "scale4b12_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b12_branch2b" | |
| bottom: "res4b12_branch2b" | |
| name: "res4b12_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12_branch2b" | |
| top: "res4b12_branch2c" | |
| name: "res4b12_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12_branch2c" | |
| name: "scale4b12_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b11" | |
| bottom: "res4b12_branch2c" | |
| top: "res4b12" | |
| name: "res4b12" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b12" | |
| top: "res4b12" | |
| name: "res4b12_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b12" | |
| top: "res4b13_branch2a" | |
| name: "res4b13_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2a" | |
| name: "scale4b13_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2a" | |
| bottom: "res4b13_branch2a" | |
| name: "res4b13_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2a" | |
| top: "res4b13_branch2b" | |
| name: "res4b13_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2b" | |
| name: "scale4b13_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b13_branch2b" | |
| bottom: "res4b13_branch2b" | |
| name: "res4b13_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13_branch2b" | |
| top: "res4b13_branch2c" | |
| name: "res4b13_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13_branch2c" | |
| name: "scale4b13_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b12" | |
| bottom: "res4b13_branch2c" | |
| top: "res4b13" | |
| name: "res4b13" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b13" | |
| top: "res4b13" | |
| name: "res4b13_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b13" | |
| top: "res4b14_branch2a" | |
| name: "res4b14_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2a" | |
| name: "scale4b14_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2a" | |
| bottom: "res4b14_branch2a" | |
| name: "res4b14_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2a" | |
| top: "res4b14_branch2b" | |
| name: "res4b14_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2b" | |
| name: "scale4b14_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b14_branch2b" | |
| bottom: "res4b14_branch2b" | |
| name: "res4b14_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14_branch2b" | |
| top: "res4b14_branch2c" | |
| name: "res4b14_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14_branch2c" | |
| name: "scale4b14_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b13" | |
| bottom: "res4b14_branch2c" | |
| top: "res4b14" | |
| name: "res4b14" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b14" | |
| top: "res4b14" | |
| name: "res4b14_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b14" | |
| top: "res4b15_branch2a" | |
| name: "res4b15_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2a" | |
| name: "scale4b15_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2a" | |
| bottom: "res4b15_branch2a" | |
| name: "res4b15_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2a" | |
| top: "res4b15_branch2b" | |
| name: "res4b15_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2b" | |
| name: "scale4b15_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b15_branch2b" | |
| bottom: "res4b15_branch2b" | |
| name: "res4b15_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15_branch2b" | |
| top: "res4b15_branch2c" | |
| name: "res4b15_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15_branch2c" | |
| name: "scale4b15_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b14" | |
| bottom: "res4b15_branch2c" | |
| top: "res4b15" | |
| name: "res4b15" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b15" | |
| top: "res4b15" | |
| name: "res4b15_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b15" | |
| top: "res4b16_branch2a" | |
| name: "res4b16_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2a" | |
| name: "scale4b16_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2a" | |
| bottom: "res4b16_branch2a" | |
| name: "res4b16_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2a" | |
| top: "res4b16_branch2b" | |
| name: "res4b16_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2b" | |
| name: "scale4b16_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b16_branch2b" | |
| bottom: "res4b16_branch2b" | |
| name: "res4b16_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16_branch2b" | |
| top: "res4b16_branch2c" | |
| name: "res4b16_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16_branch2c" | |
| name: "scale4b16_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b15" | |
| bottom: "res4b16_branch2c" | |
| top: "res4b16" | |
| name: "res4b16" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b16" | |
| top: "res4b16" | |
| name: "res4b16_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b16" | |
| top: "res4b17_branch2a" | |
| name: "res4b17_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2a" | |
| name: "scale4b17_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2a" | |
| bottom: "res4b17_branch2a" | |
| name: "res4b17_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2a" | |
| top: "res4b17_branch2b" | |
| name: "res4b17_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2b" | |
| name: "scale4b17_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b17_branch2b" | |
| bottom: "res4b17_branch2b" | |
| name: "res4b17_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17_branch2b" | |
| top: "res4b17_branch2c" | |
| name: "res4b17_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17_branch2c" | |
| name: "scale4b17_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b16" | |
| bottom: "res4b17_branch2c" | |
| top: "res4b17" | |
| name: "res4b17" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b17" | |
| top: "res4b17" | |
| name: "res4b17_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b17" | |
| top: "res4b18_branch2a" | |
| name: "res4b18_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2a" | |
| name: "scale4b18_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2a" | |
| bottom: "res4b18_branch2a" | |
| name: "res4b18_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2a" | |
| top: "res4b18_branch2b" | |
| name: "res4b18_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2b" | |
| name: "scale4b18_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b18_branch2b" | |
| bottom: "res4b18_branch2b" | |
| name: "res4b18_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18_branch2b" | |
| top: "res4b18_branch2c" | |
| name: "res4b18_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18_branch2c" | |
| name: "scale4b18_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b17" | |
| bottom: "res4b18_branch2c" | |
| top: "res4b18" | |
| name: "res4b18" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b18" | |
| top: "res4b18" | |
| name: "res4b18_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b18" | |
| top: "res4b19_branch2a" | |
| name: "res4b19_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2a" | |
| name: "scale4b19_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2a" | |
| bottom: "res4b19_branch2a" | |
| name: "res4b19_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2a" | |
| top: "res4b19_branch2b" | |
| name: "res4b19_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2b" | |
| name: "scale4b19_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b19_branch2b" | |
| bottom: "res4b19_branch2b" | |
| name: "res4b19_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19_branch2b" | |
| top: "res4b19_branch2c" | |
| name: "res4b19_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19_branch2c" | |
| name: "scale4b19_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b18" | |
| bottom: "res4b19_branch2c" | |
| top: "res4b19" | |
| name: "res4b19" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b19" | |
| top: "res4b19" | |
| name: "res4b19_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b19" | |
| top: "res4b20_branch2a" | |
| name: "res4b20_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2a" | |
| name: "scale4b20_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2a" | |
| bottom: "res4b20_branch2a" | |
| name: "res4b20_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2a" | |
| top: "res4b20_branch2b" | |
| name: "res4b20_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2b" | |
| name: "scale4b20_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b20_branch2b" | |
| bottom: "res4b20_branch2b" | |
| name: "res4b20_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20_branch2b" | |
| top: "res4b20_branch2c" | |
| name: "res4b20_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20_branch2c" | |
| name: "scale4b20_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b19" | |
| bottom: "res4b20_branch2c" | |
| top: "res4b20" | |
| name: "res4b20" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b20" | |
| top: "res4b20" | |
| name: "res4b20_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b20" | |
| top: "res4b21_branch2a" | |
| name: "res4b21_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2a" | |
| name: "scale4b21_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2a" | |
| bottom: "res4b21_branch2a" | |
| name: "res4b21_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2a" | |
| top: "res4b21_branch2b" | |
| name: "res4b21_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2b" | |
| name: "scale4b21_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b21_branch2b" | |
| bottom: "res4b21_branch2b" | |
| name: "res4b21_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21_branch2b" | |
| top: "res4b21_branch2c" | |
| name: "res4b21_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21_branch2c" | |
| name: "scale4b21_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b20" | |
| bottom: "res4b21_branch2c" | |
| top: "res4b21" | |
| name: "res4b21" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b21" | |
| top: "res4b21" | |
| name: "res4b21_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b21" | |
| top: "res4b22_branch2a" | |
| name: "res4b22_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2a" | |
| name: "scale4b22_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2a" | |
| bottom: "res4b22_branch2a" | |
| name: "res4b22_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2a" | |
| top: "res4b22_branch2b" | |
| name: "res4b22_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2b" | |
| name: "scale4b22_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res4b22_branch2b" | |
| bottom: "res4b22_branch2b" | |
| name: "res4b22_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res4b22_branch2b" | |
| top: "res4b22_branch2c" | |
| name: "res4b22_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22_branch2c" | |
| name: "scale4b22_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res4b21" | |
| bottom: "res4b22_branch2c" | |
| top: "res4b22" | |
| name: "res4b22" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res4b22" | |
| top: "res4b22" | |
| name: "res4b22_relu" | |
| type: "ReLU" | |
| } | |
| #========= RPN ============ | |
| layer { | |
| name: "rpn_conv/3x3" | |
| type: "Convolution" | |
| bottom: "res4b22" | |
| top: "rpn/output" | |
| param { lr_mult: 1.0 } | |
| param { lr_mult: 2.0 } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 pad: 1 stride: 1 | |
| weight_filler { type: "gaussian" std: 0.01 } | |
| bias_filler { type: "constant" value: 0 } | |
| } | |
| } | |
| layer { | |
| name: "rpn_relu/3x3" | |
| type: "ReLU" | |
| bottom: "rpn/output" | |
| top: "rpn/output" | |
| } | |
| layer { | |
| name: "rpn_cls_score" | |
| type: "Convolution" | |
| bottom: "rpn/output" | |
| top: "rpn_cls_score" | |
| param { lr_mult: 1.0 } | |
| param { lr_mult: 2.0 } | |
| convolution_param { | |
| num_output: 18 # 2(bg/fg) * 9(anchors) | |
| kernel_size: 1 pad: 0 stride: 1 | |
| weight_filler { type: "gaussian" std: 0.01 } | |
| bias_filler { type: "constant" value: 0 } | |
| } | |
| } | |
| layer { | |
| name: "rpn_bbox_pred" | |
| type: "Convolution" | |
| bottom: "rpn/output" | |
| top: "rpn_bbox_pred" | |
| param { lr_mult: 1.0 } | |
| param { lr_mult: 2.0 } | |
| convolution_param { | |
| num_output: 36 # 4 * 9(anchors) | |
| kernel_size: 1 pad: 0 stride: 1 | |
| weight_filler { type: "gaussian" std: 0.01 } | |
| bias_filler { type: "constant" value: 0 } | |
| } | |
| } | |
| layer { | |
| bottom: "rpn_cls_score" | |
| top: "rpn_cls_score_reshape" | |
| name: "rpn_cls_score_reshape" | |
| type: "Reshape" | |
| reshape_param { shape { dim: 0 dim: 2 dim: -1 dim: 0 } } | |
| } | |
| layer { | |
| name: 'rpn-data' | |
| type: 'Python' | |
| bottom: 'rpn_cls_score' | |
| bottom: 'gt_boxes' | |
| bottom: 'im_info' | |
| bottom: 'data' | |
| top: 'rpn_labels' | |
| top: 'rpn_bbox_targets' | |
| top: 'rpn_bbox_inside_weights' | |
| top: 'rpn_bbox_outside_weights' | |
| python_param { | |
| module: 'rpn.anchor_target_layer' | |
| layer: 'AnchorTargetLayer' | |
| param_str: "'feat_stride': 16" | |
| } | |
| } | |
| layer { | |
| name: "rpn_loss_cls" | |
| type: "SoftmaxWithLoss" | |
| bottom: "rpn_cls_score_reshape" | |
| bottom: "rpn_labels" | |
| propagate_down: 1 | |
| propagate_down: 0 | |
| top: "rpn_cls_loss" | |
| loss_weight: 1 | |
| loss_param { | |
| ignore_label: -1 | |
| normalize: true | |
| } | |
| } | |
| layer { | |
| name: "rpn_loss_bbox" | |
| type: "SmoothL1Loss" | |
| bottom: "rpn_bbox_pred" | |
| bottom: "rpn_bbox_targets" | |
| bottom: 'rpn_bbox_inside_weights' | |
| bottom: 'rpn_bbox_outside_weights' | |
| top: "rpn_loss_bbox" | |
| loss_weight: 1 | |
| smooth_l1_loss_param { sigma: 3.0 } | |
| } | |
| #========= RoI Proposal ============ | |
| layer { | |
| name: "rpn_cls_prob" | |
| type: "Softmax" | |
| bottom: "rpn_cls_score_reshape" | |
| top: "rpn_cls_prob" | |
| } | |
| layer { | |
| name: 'rpn_cls_prob_reshape' | |
| type: 'Reshape' | |
| bottom: 'rpn_cls_prob' | |
| top: 'rpn_cls_prob_reshape' | |
| reshape_param { shape { dim: 0 dim: 18 dim: -1 dim: 0 } } | |
| } | |
| layer { | |
| name: 'proposal' | |
| type: 'Python' | |
| bottom: 'rpn_cls_prob_reshape' | |
| bottom: 'rpn_bbox_pred' | |
| bottom: 'im_info' | |
| top: 'rpn_rois' | |
| # top: 'rpn_scores' | |
| python_param { | |
| module: 'rpn.proposal_layer' | |
| layer: 'ProposalLayer' | |
| param_str: "'feat_stride': 16" | |
| } | |
| } | |
| #layer { | |
| # name: 'debug-data' | |
| # type: 'Python' | |
| # bottom: 'data' | |
| # bottom: 'rpn_rois' | |
| # bottom: 'rpn_scores' | |
| # python_param { | |
| # module: 'rpn.debug_layer' | |
| # layer: 'RPNDebugLayer' | |
| # } | |
| #} | |
| layer { | |
| name: 'roi-data' | |
| type: 'Python' | |
| bottom: 'rpn_rois' | |
| bottom: 'gt_boxes' | |
| top: 'rois' | |
| top: 'labels' | |
| top: 'bbox_targets' | |
| top: 'bbox_inside_weights' | |
| top: 'bbox_outside_weights' | |
| python_param { | |
| module: 'rpn.proposal_target_layer' | |
| layer: 'ProposalTargetLayer' | |
| param_str: "'num_classes': 21" | |
| } | |
| } | |
| ########################## | |
| ## Readonly RoI Network ## | |
| ######### Start ########## | |
| layer { | |
| name: "roi_pool5_readonly" | |
| type: "ROIPooling" | |
| bottom: "res4b22" | |
| bottom: "rois" | |
| top: "roi_pool5_readonly" | |
| propagate_down: false | |
| propagate_down: false | |
| roi_pooling_param { | |
| pooled_w: 14 | |
| pooled_h: 14 | |
| spatial_scale: 0.0625 # 1/16 | |
| } | |
| } | |
| layer { | |
| bottom: "roi_pool5_readonly" | |
| top: "res5a_branch1_readonly" | |
| name: "res5a_branch1_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch1_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_readonly" | |
| top: "res5a_branch1_readonly" | |
| name: "scale5a_branch1_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch1_w" | |
| } | |
| param { | |
| name: "scale5a_branch1_b" | |
| } | |
| } | |
| layer { | |
| bottom: "roi_pool5_readonly" | |
| top: "res5a_branch2a_readonly" | |
| name: "res5a_branch2a_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch2a_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_readonly" | |
| top: "res5a_branch2a_readonly" | |
| name: "scale5a_branch2a_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2a_w" | |
| } | |
| param { | |
| name: "scale5a_branch2a_b" | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2a_readonly" | |
| bottom: "res5a_branch2a_readonly" | |
| name: "res5a_branch2a_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a_readonly" | |
| top: "res5a_branch2b_readonly" | |
| name: "res5a_branch2b_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch2b_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_readonly" | |
| top: "res5a_branch2b_readonly" | |
| name: "scale5a_branch2b_readonly" | |
| type: "Scale" | |
| propagate_down: false | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2b_w" | |
| } | |
| param { | |
| name: "scale5a_branch2b_b" | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2b_readonly" | |
| bottom: "res5a_branch2b_readonly" | |
| name: "res5a_branch2b_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2b_readonly" | |
| top: "res5a_branch2c_readonly" | |
| name: "res5a_branch2c_readonly" | |
| type: "Convolution" | |
| propagate_down: false | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch2c_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c_readonly" | |
| top: "res5a_branch2c_readonly" | |
| name: "scale5a_branch2c_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2c_w" | |
| } | |
| param { | |
| name: "scale5a_branch2c_b" | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1_readonly" | |
| bottom: "res5a_branch2c_readonly" | |
| top: "res5a_readonly" | |
| name: "res5a_readonly" | |
| propagate_down: false | |
| propagate_down: false | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5a_readonly" | |
| top: "res5a_readonly" | |
| name: "res5a_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_readonly" | |
| top: "res5b_branch2a_readonly" | |
| name: "res5b_branch2a_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5b_branch2a_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_readonly" | |
| top: "res5b_branch2a_readonly" | |
| name: "scale5b_branch2a_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2a_w" | |
| } | |
| param { | |
| name: "scale5b_branch2a_b" | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2a_readonly" | |
| bottom: "res5b_branch2a_readonly" | |
| name: "res5b_branch2a_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a_readonly" | |
| top: "res5b_branch2b_readonly" | |
| name: "res5b_branch2b_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5b_branch2b_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_readonly" | |
| top: "res5b_branch2b_readonly" | |
| name: "scale5b_branch2b_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2b_w" | |
| } | |
| param { | |
| name: "scale5b_branch2b_b" | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2b_readonly" | |
| bottom: "res5b_branch2b_readonly" | |
| name: "res5b_branch2b_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2b_readonly" | |
| top: "res5b_branch2c_readonly" | |
| name: "res5b_branch2c_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5b_branch2c_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c_readonly" | |
| top: "res5b_branch2c_readonly" | |
| name: "scale5b_branch2c_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2c_w" | |
| } | |
| param { | |
| name: "scale5b_branch2c_b" | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_readonly" | |
| bottom: "res5b_branch2c_readonly" | |
| top: "res5b_readonly" | |
| name: "res5b_readonly" | |
| propagate_down: false | |
| propagate_down: false | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5b_readonly" | |
| top: "res5b_readonly" | |
| name: "res5b_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_readonly" | |
| top: "res5c_branch2a_readonly" | |
| name: "res5c_branch2a_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5c_branch2a_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_readonly" | |
| top: "res5c_branch2a_readonly" | |
| name: "scale5c_branch2a_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2a_w" | |
| } | |
| param { | |
| name: "scale5c_branch2a_b" | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2a_readonly" | |
| bottom: "res5c_branch2a_readonly" | |
| name: "res5c_branch2a_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2a_readonly" | |
| top: "res5c_branch2b_readonly" | |
| name: "res5c_branch2b_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5c_branch2b_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_readonly" | |
| top: "res5c_branch2b_readonly" | |
| name: "scale5c_branch2b_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2b_w" | |
| } | |
| param { | |
| name: "scale5c_branch2b_b" | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2b_readonly" | |
| bottom: "res5c_branch2b_readonly" | |
| name: "res5c_branch2b_relu_readonly" | |
| propagate_down: false | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2b_readonly" | |
| top: "res5c_branch2c_readonly" | |
| name: "res5c_branch2c_readonly" | |
| propagate_down: false | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5c_branch2c_w" | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c_readonly" | |
| top: "res5c_branch2c_readonly" | |
| name: "scale5c_branch2c_readonly" | |
| propagate_down: false | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2c_w" | |
| } | |
| param { | |
| name: "scale5c_branch2c_b" | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_readonly" | |
| bottom: "res5c_branch2c_readonly" | |
| propagate_down: false | |
| propagate_down: false | |
| top: "res5c_readonly" | |
| name: "res5c_readonly" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5c_readonly" | |
| top: "res5c_readonly" | |
| propagate_down: false | |
| name: "res5c_relu_readonly" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_readonly" | |
| top: "pool5_readonly" | |
| name: "pool5_readonly" | |
| type: "Pooling" | |
| propagate_down: false | |
| pooling_param { | |
| kernel_size: 7 | |
| stride: 1 | |
| pool: AVE | |
| } | |
| } | |
| layer { | |
| name: "cls_score_readonly" | |
| type: "InnerProduct" | |
| bottom: "pool5_readonly" | |
| top: "cls_score_readonly" | |
| propagate_down: false | |
| param { | |
| name: "cls_score_w" | |
| } | |
| param { | |
| name: "cls_score_b" | |
| } | |
| inner_product_param { | |
| num_output: 21 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bbox_pred_readonly" | |
| type: "InnerProduct" | |
| bottom: "pool5_readonly" | |
| top: "bbox_pred_readonly" | |
| propagate_down: false | |
| param { | |
| name: "bbox_pred_w" | |
| } | |
| param { | |
| name: "bbox_pred_b" | |
| } | |
| inner_product_param { | |
| num_output: 84 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "cls_prob_readonly" | |
| type: "Softmax" | |
| bottom: "cls_score_readonly" | |
| top: "cls_prob_readonly" | |
| propagate_down: false | |
| } | |
| layer { | |
| name: "hard_roi_mining" | |
| type: "Python" | |
| bottom: "cls_prob_readonly" | |
| bottom: "bbox_pred_readonly" | |
| bottom: "rois" | |
| bottom: "labels" | |
| bottom: "bbox_targets" | |
| bottom: "bbox_inside_weights" | |
| bottom: "bbox_outside_weights" | |
| top: "rois_hard" | |
| top: "labels_hard" | |
| top: "bbox_targets_hard" | |
| top: "bbox_inside_weights_hard" | |
| top: "bbox_outside_weights_hard" | |
| propagate_down: false | |
| propagate_down: false | |
| propagate_down: false | |
| propagate_down: false | |
| propagate_down: false | |
| propagate_down: false | |
| propagate_down: false | |
| python_param { | |
| module: "roi_data_layer.layer" | |
| layer: "OHEMDataLayer" | |
| param_str: "'num_classes': 21" | |
| } | |
| } | |
| ########## End ########### | |
| ## Readonly RoI Network ## | |
| ########################## | |
| #========= RCNN ============ | |
| layer { | |
| name: "roi_pool5" | |
| type: "ROIPooling" | |
| bottom: "res4b22" | |
| bottom: "rois_hard" | |
| top: "roi_pool5" | |
| propagate_down: true | |
| propagate_down: false | |
| roi_pooling_param { | |
| pooled_w: 14 | |
| pooled_h: 14 | |
| spatial_scale: 0.0625 # 1/16 | |
| } | |
| } | |
| layer { | |
| bottom: "roi_pool5" | |
| top: "res5a_branch1" | |
| name: "res5a_branch1" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch1_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| top: "res5a_branch1" | |
| name: "scale5a_branch1" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch1_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5a_branch1_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "roi_pool5" | |
| top: "res5a_branch2a" | |
| name: "res5a_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch2a_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2a" | |
| name: "scale5a_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2a_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5a_branch2a_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2a" | |
| bottom: "res5a_branch2a" | |
| name: "res5a_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2a" | |
| top: "res5a_branch2b" | |
| name: "res5a_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch2b_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2b" | |
| name: "scale5a_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2b_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5a_branch2b_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res5a_branch2b" | |
| bottom: "res5a_branch2b" | |
| name: "res5a_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a_branch2b" | |
| top: "res5a_branch2c" | |
| name: "res5a_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5a_branch2c_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch2c" | |
| top: "res5a_branch2c" | |
| name: "scale5a_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5a_branch2c_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5a_branch2c_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a_branch1" | |
| bottom: "res5a_branch2c" | |
| top: "res5a" | |
| name: "res5a" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5a" | |
| name: "res5a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5a" | |
| top: "res5b_branch2a" | |
| name: "res5b_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5b_branch2a_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2a" | |
| name: "scale5b_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2a_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5b_branch2a_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2a" | |
| bottom: "res5b_branch2a" | |
| name: "res5b_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2a" | |
| top: "res5b_branch2b" | |
| name: "res5b_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5b_branch2b_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2b" | |
| name: "scale5b_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2b_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5b_branch2b_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res5b_branch2b" | |
| bottom: "res5b_branch2b" | |
| name: "res5b_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b_branch2b" | |
| top: "res5b_branch2c" | |
| name: "res5b_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5b_branch2c_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b_branch2c" | |
| top: "res5b_branch2c" | |
| name: "scale5b_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5b_branch2c_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5b_branch2c_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5a" | |
| bottom: "res5b_branch2c" | |
| top: "res5b" | |
| name: "res5b" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5b" | |
| name: "res5b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5b" | |
| top: "res5c_branch2a" | |
| name: "res5c_branch2a" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5c_branch2a_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2a" | |
| name: "scale5c_branch2a" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2a_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5c_branch2a_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2a" | |
| bottom: "res5c_branch2a" | |
| name: "res5c_branch2a_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2a" | |
| top: "res5c_branch2b" | |
| name: "res5c_branch2b" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5c_branch2b_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2b" | |
| name: "scale5c_branch2b" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2b_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5c_branch2b_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| top: "res5c_branch2b" | |
| bottom: "res5c_branch2b" | |
| name: "res5c_branch2b_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c_branch2b" | |
| top: "res5c_branch2c" | |
| name: "res5c_branch2c" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 2048 | |
| kernel_size: 1 | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| param { | |
| name: "res5c_branch2c_w" | |
| lr_mult: 1.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5c_branch2c" | |
| top: "res5c_branch2c" | |
| name: "scale5c_branch2c" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| } | |
| param { | |
| name: "scale5c_branch2c_w" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| param { | |
| name: "scale5c_branch2c_b" | |
| lr_mult: 0.0 | |
| decay_mult: 0.0 | |
| } | |
| } | |
| layer { | |
| bottom: "res5b" | |
| bottom: "res5c_branch2c" | |
| top: "res5c" | |
| name: "res5c" | |
| type: "Eltwise" | |
| } | |
| layer { | |
| bottom: "res5c" | |
| top: "res5c" | |
| name: "res5c_relu" | |
| type: "ReLU" | |
| } | |
| layer { | |
| bottom: "res5c" | |
| top: "pool5" | |
| name: "pool5" | |
| type: "Pooling" | |
| pooling_param { | |
| kernel_size: 7 | |
| stride: 1 | |
| pool: AVE | |
| } | |
| } | |
| layer { | |
| name: "cls_score" | |
| type: "InnerProduct" | |
| bottom: "pool5" | |
| top: "cls_score" | |
| param { | |
| name: "cls_score_w" | |
| lr_mult: 1 | |
| } | |
| param { | |
| name: "cls_score_b" | |
| lr_mult: 2 | |
| } | |
| inner_product_param { | |
| num_output: 21 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "bbox_pred" | |
| type: "InnerProduct" | |
| bottom: "pool5" | |
| top: "bbox_pred" | |
| param { | |
| name: "bbox_pred_w" | |
| lr_mult: 1 | |
| } | |
| param { | |
| name: "bbox_pred_b" | |
| lr_mult: 2 | |
| } | |
| inner_product_param { | |
| num_output: 84 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "loss_cls" | |
| type: "SoftmaxWithLoss" | |
| bottom: "cls_score" | |
| bottom: "labels_hard" | |
| propagate_down: 1 | |
| propagate_down: 0 | |
| top: "loss_cls" | |
| loss_weight: 1 | |
| } | |
| layer { | |
| name: "loss_bbox" | |
| type: "SmoothL1Loss" | |
| bottom: "bbox_pred" | |
| bottom: "bbox_targets_hard" | |
| bottom: "bbox_inside_weights_hard" | |
| bottom: "bbox_outside_weights_hard" | |
| top: "loss_bbox" | |
| propagate_down: true | |
| propagate_down: false | |
| propagate_down: false | |
| propagate_down: false | |
| loss_weight: 1 | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment