Last active
September 10, 2019 07:49
-
-
Save eric612/59c75a50e5b91d6dd80a879df3cfaf55 to your computer and use it in GitHub Desktop.
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: "Darkent2Caffe" | |
| input: "data" | |
| input_dim: 1 | |
| input_dim: 3 | |
| input_dim: 608 | |
| input_dim: 608 | |
| layer { | |
| bottom: "data" | |
| top: "layer1-conv" | |
| name: "layer1-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer1-conv" | |
| top: "layer1-conv" | |
| name: "layer1-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer1-conv" | |
| top: "layer1-conv" | |
| name: "layer1-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer1-conv" | |
| top: "layer1-conv" | |
| name: "layer1-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer1-conv" | |
| top: "layer2-conv" | |
| name: "layer2-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer2-conv" | |
| top: "layer2-conv" | |
| name: "layer2-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer2-conv" | |
| top: "layer2-conv" | |
| name: "layer2-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer2-conv" | |
| top: "layer2-conv" | |
| name: "layer2-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer2-conv" | |
| top: "layer3-conv" | |
| name: "layer3-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer3-conv" | |
| top: "layer3-conv" | |
| name: "layer3-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer3-conv" | |
| top: "layer3-conv" | |
| name: "layer3-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer3-conv" | |
| top: "layer3-conv" | |
| name: "layer3-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer3-conv" | |
| top: "layer4-conv" | |
| name: "layer4-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer4-conv" | |
| top: "layer4-conv" | |
| name: "layer4-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer4-conv" | |
| top: "layer4-conv" | |
| name: "layer4-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer4-conv" | |
| top: "layer4-conv" | |
| name: "layer4-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer2-conv" | |
| bottom: "layer4-conv" | |
| top: "layer5-shortcut" | |
| name: "layer5-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer5-shortcut" | |
| top: "layer6-conv" | |
| name: "layer6-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer6-conv" | |
| top: "layer6-conv" | |
| name: "layer6-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer6-conv" | |
| top: "layer6-conv" | |
| name: "layer6-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer6-conv" | |
| top: "layer6-conv" | |
| name: "layer6-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer6-conv" | |
| top: "layer7-conv" | |
| name: "layer7-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer7-conv" | |
| top: "layer7-conv" | |
| name: "layer7-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer7-conv" | |
| top: "layer7-conv" | |
| name: "layer7-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer7-conv" | |
| top: "layer7-conv" | |
| name: "layer7-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer7-conv" | |
| top: "layer8-conv" | |
| name: "layer8-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer8-conv" | |
| top: "layer8-conv" | |
| name: "layer8-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer8-conv" | |
| top: "layer8-conv" | |
| name: "layer8-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer8-conv" | |
| top: "layer8-conv" | |
| name: "layer8-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer6-conv" | |
| bottom: "layer8-conv" | |
| top: "layer9-shortcut" | |
| name: "layer9-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer9-shortcut" | |
| top: "layer10-conv" | |
| name: "layer10-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer10-conv" | |
| top: "layer10-conv" | |
| name: "layer10-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer10-conv" | |
| top: "layer10-conv" | |
| name: "layer10-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer10-conv" | |
| top: "layer10-conv" | |
| name: "layer10-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer10-conv" | |
| top: "layer11-conv" | |
| name: "layer11-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer11-conv" | |
| top: "layer11-conv" | |
| name: "layer11-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer11-conv" | |
| top: "layer11-conv" | |
| name: "layer11-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer11-conv" | |
| top: "layer11-conv" | |
| name: "layer11-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer9-shortcut" | |
| bottom: "layer11-conv" | |
| top: "layer12-shortcut" | |
| name: "layer12-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer12-shortcut" | |
| top: "layer13-conv" | |
| name: "layer13-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer13-conv" | |
| top: "layer13-conv" | |
| name: "layer13-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer13-conv" | |
| top: "layer13-conv" | |
| name: "layer13-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer13-conv" | |
| top: "layer13-conv" | |
| name: "layer13-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer13-conv" | |
| top: "layer14-conv" | |
| name: "layer14-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer14-conv" | |
| top: "layer14-conv" | |
| name: "layer14-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer14-conv" | |
| top: "layer14-conv" | |
| name: "layer14-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer14-conv" | |
| top: "layer14-conv" | |
| name: "layer14-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer14-conv" | |
| top: "layer15-conv" | |
| name: "layer15-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer15-conv" | |
| top: "layer15-conv" | |
| name: "layer15-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer15-conv" | |
| top: "layer15-conv" | |
| name: "layer15-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer15-conv" | |
| top: "layer15-conv" | |
| name: "layer15-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer13-conv" | |
| bottom: "layer15-conv" | |
| top: "layer16-shortcut" | |
| name: "layer16-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer16-shortcut" | |
| top: "layer17-conv" | |
| name: "layer17-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer17-conv" | |
| top: "layer17-conv" | |
| name: "layer17-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer17-conv" | |
| top: "layer17-conv" | |
| name: "layer17-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer17-conv" | |
| top: "layer17-conv" | |
| name: "layer17-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer17-conv" | |
| top: "layer18-conv" | |
| name: "layer18-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer18-conv" | |
| top: "layer18-conv" | |
| name: "layer18-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer18-conv" | |
| top: "layer18-conv" | |
| name: "layer18-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer18-conv" | |
| top: "layer18-conv" | |
| name: "layer18-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer16-shortcut" | |
| bottom: "layer18-conv" | |
| top: "layer19-shortcut" | |
| name: "layer19-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer19-shortcut" | |
| top: "layer20-conv" | |
| name: "layer20-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer20-conv" | |
| top: "layer20-conv" | |
| name: "layer20-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer20-conv" | |
| top: "layer20-conv" | |
| name: "layer20-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer20-conv" | |
| top: "layer20-conv" | |
| name: "layer20-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer20-conv" | |
| top: "layer21-conv" | |
| name: "layer21-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer21-conv" | |
| top: "layer21-conv" | |
| name: "layer21-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer21-conv" | |
| top: "layer21-conv" | |
| name: "layer21-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer21-conv" | |
| top: "layer21-conv" | |
| name: "layer21-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer19-shortcut" | |
| bottom: "layer21-conv" | |
| top: "layer22-shortcut" | |
| name: "layer22-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer22-shortcut" | |
| top: "layer23-conv" | |
| name: "layer23-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer23-conv" | |
| top: "layer23-conv" | |
| name: "layer23-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer23-conv" | |
| top: "layer23-conv" | |
| name: "layer23-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer23-conv" | |
| top: "layer23-conv" | |
| name: "layer23-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer23-conv" | |
| top: "layer24-conv" | |
| name: "layer24-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer24-conv" | |
| top: "layer24-conv" | |
| name: "layer24-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer24-conv" | |
| top: "layer24-conv" | |
| name: "layer24-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer24-conv" | |
| top: "layer24-conv" | |
| name: "layer24-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer22-shortcut" | |
| bottom: "layer24-conv" | |
| top: "layer25-shortcut" | |
| name: "layer25-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer25-shortcut" | |
| top: "layer26-conv" | |
| name: "layer26-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer26-conv" | |
| top: "layer26-conv" | |
| name: "layer26-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer26-conv" | |
| top: "layer26-conv" | |
| name: "layer26-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer26-conv" | |
| top: "layer26-conv" | |
| name: "layer26-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer26-conv" | |
| top: "layer27-conv" | |
| name: "layer27-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer27-conv" | |
| top: "layer27-conv" | |
| name: "layer27-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer27-conv" | |
| top: "layer27-conv" | |
| name: "layer27-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer27-conv" | |
| top: "layer27-conv" | |
| name: "layer27-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer25-shortcut" | |
| bottom: "layer27-conv" | |
| top: "layer28-shortcut" | |
| name: "layer28-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer28-shortcut" | |
| top: "layer29-conv" | |
| name: "layer29-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer29-conv" | |
| top: "layer29-conv" | |
| name: "layer29-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer29-conv" | |
| top: "layer29-conv" | |
| name: "layer29-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer29-conv" | |
| top: "layer29-conv" | |
| name: "layer29-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer29-conv" | |
| top: "layer30-conv" | |
| name: "layer30-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer30-conv" | |
| top: "layer30-conv" | |
| name: "layer30-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer30-conv" | |
| top: "layer30-conv" | |
| name: "layer30-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer30-conv" | |
| top: "layer30-conv" | |
| name: "layer30-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer28-shortcut" | |
| bottom: "layer30-conv" | |
| top: "layer31-shortcut" | |
| name: "layer31-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer31-shortcut" | |
| top: "layer32-conv" | |
| name: "layer32-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer32-conv" | |
| top: "layer32-conv" | |
| name: "layer32-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer32-conv" | |
| top: "layer32-conv" | |
| name: "layer32-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer32-conv" | |
| top: "layer32-conv" | |
| name: "layer32-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer32-conv" | |
| top: "layer33-conv" | |
| name: "layer33-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer33-conv" | |
| top: "layer33-conv" | |
| name: "layer33-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer33-conv" | |
| top: "layer33-conv" | |
| name: "layer33-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer33-conv" | |
| top: "layer33-conv" | |
| name: "layer33-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer31-shortcut" | |
| bottom: "layer33-conv" | |
| top: "layer34-shortcut" | |
| name: "layer34-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer34-shortcut" | |
| top: "layer35-conv" | |
| name: "layer35-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer35-conv" | |
| top: "layer35-conv" | |
| name: "layer35-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer35-conv" | |
| top: "layer35-conv" | |
| name: "layer35-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer35-conv" | |
| top: "layer35-conv" | |
| name: "layer35-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer35-conv" | |
| top: "layer36-conv" | |
| name: "layer36-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer36-conv" | |
| top: "layer36-conv" | |
| name: "layer36-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer36-conv" | |
| top: "layer36-conv" | |
| name: "layer36-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer36-conv" | |
| top: "layer36-conv" | |
| name: "layer36-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer34-shortcut" | |
| bottom: "layer36-conv" | |
| top: "layer37-shortcut" | |
| name: "layer37-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer37-shortcut" | |
| top: "layer38-conv" | |
| name: "layer38-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer38-conv" | |
| top: "layer38-conv" | |
| name: "layer38-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer38-conv" | |
| top: "layer38-conv" | |
| name: "layer38-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer38-conv" | |
| top: "layer38-conv" | |
| name: "layer38-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer38-conv" | |
| top: "layer39-conv" | |
| name: "layer39-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer39-conv" | |
| top: "layer39-conv" | |
| name: "layer39-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer39-conv" | |
| top: "layer39-conv" | |
| name: "layer39-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer39-conv" | |
| top: "layer39-conv" | |
| name: "layer39-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer39-conv" | |
| top: "layer40-conv" | |
| name: "layer40-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer40-conv" | |
| top: "layer40-conv" | |
| name: "layer40-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer40-conv" | |
| top: "layer40-conv" | |
| name: "layer40-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer40-conv" | |
| top: "layer40-conv" | |
| name: "layer40-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer38-conv" | |
| bottom: "layer40-conv" | |
| top: "layer41-shortcut" | |
| name: "layer41-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer41-shortcut" | |
| top: "layer42-conv" | |
| name: "layer42-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer42-conv" | |
| top: "layer42-conv" | |
| name: "layer42-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer42-conv" | |
| top: "layer42-conv" | |
| name: "layer42-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer42-conv" | |
| top: "layer42-conv" | |
| name: "layer42-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer42-conv" | |
| top: "layer43-conv" | |
| name: "layer43-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer43-conv" | |
| top: "layer43-conv" | |
| name: "layer43-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer43-conv" | |
| top: "layer43-conv" | |
| name: "layer43-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer43-conv" | |
| top: "layer43-conv" | |
| name: "layer43-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer41-shortcut" | |
| bottom: "layer43-conv" | |
| top: "layer44-shortcut" | |
| name: "layer44-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer44-shortcut" | |
| top: "layer45-conv" | |
| name: "layer45-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer45-conv" | |
| top: "layer45-conv" | |
| name: "layer45-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer45-conv" | |
| top: "layer45-conv" | |
| name: "layer45-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer45-conv" | |
| top: "layer45-conv" | |
| name: "layer45-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer45-conv" | |
| top: "layer46-conv" | |
| name: "layer46-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer46-conv" | |
| top: "layer46-conv" | |
| name: "layer46-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer46-conv" | |
| top: "layer46-conv" | |
| name: "layer46-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer46-conv" | |
| top: "layer46-conv" | |
| name: "layer46-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer44-shortcut" | |
| bottom: "layer46-conv" | |
| top: "layer47-shortcut" | |
| name: "layer47-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer47-shortcut" | |
| top: "layer48-conv" | |
| name: "layer48-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer48-conv" | |
| top: "layer48-conv" | |
| name: "layer48-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer48-conv" | |
| top: "layer48-conv" | |
| name: "layer48-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer48-conv" | |
| top: "layer48-conv" | |
| name: "layer48-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer48-conv" | |
| top: "layer49-conv" | |
| name: "layer49-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer49-conv" | |
| top: "layer49-conv" | |
| name: "layer49-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer49-conv" | |
| top: "layer49-conv" | |
| name: "layer49-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer49-conv" | |
| top: "layer49-conv" | |
| name: "layer49-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer47-shortcut" | |
| bottom: "layer49-conv" | |
| top: "layer50-shortcut" | |
| name: "layer50-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer50-shortcut" | |
| top: "layer51-conv" | |
| name: "layer51-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer51-conv" | |
| top: "layer51-conv" | |
| name: "layer51-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer51-conv" | |
| top: "layer51-conv" | |
| name: "layer51-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer51-conv" | |
| top: "layer51-conv" | |
| name: "layer51-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer51-conv" | |
| top: "layer52-conv" | |
| name: "layer52-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer52-conv" | |
| top: "layer52-conv" | |
| name: "layer52-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer52-conv" | |
| top: "layer52-conv" | |
| name: "layer52-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer52-conv" | |
| top: "layer52-conv" | |
| name: "layer52-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer50-shortcut" | |
| bottom: "layer52-conv" | |
| top: "layer53-shortcut" | |
| name: "layer53-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer53-shortcut" | |
| top: "layer54-conv" | |
| name: "layer54-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer54-conv" | |
| top: "layer54-conv" | |
| name: "layer54-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer54-conv" | |
| top: "layer54-conv" | |
| name: "layer54-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer54-conv" | |
| top: "layer54-conv" | |
| name: "layer54-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer54-conv" | |
| top: "layer55-conv" | |
| name: "layer55-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer55-conv" | |
| top: "layer55-conv" | |
| name: "layer55-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer55-conv" | |
| top: "layer55-conv" | |
| name: "layer55-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer55-conv" | |
| top: "layer55-conv" | |
| name: "layer55-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer53-shortcut" | |
| bottom: "layer55-conv" | |
| top: "layer56-shortcut" | |
| name: "layer56-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer56-shortcut" | |
| top: "layer57-conv" | |
| name: "layer57-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer57-conv" | |
| top: "layer57-conv" | |
| name: "layer57-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer57-conv" | |
| top: "layer57-conv" | |
| name: "layer57-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer57-conv" | |
| top: "layer57-conv" | |
| name: "layer57-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer57-conv" | |
| top: "layer58-conv" | |
| name: "layer58-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer58-conv" | |
| top: "layer58-conv" | |
| name: "layer58-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer58-conv" | |
| top: "layer58-conv" | |
| name: "layer58-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer58-conv" | |
| top: "layer58-conv" | |
| name: "layer58-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer56-shortcut" | |
| bottom: "layer58-conv" | |
| top: "layer59-shortcut" | |
| name: "layer59-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer59-shortcut" | |
| top: "layer60-conv" | |
| name: "layer60-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer60-conv" | |
| top: "layer60-conv" | |
| name: "layer60-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer60-conv" | |
| top: "layer60-conv" | |
| name: "layer60-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer60-conv" | |
| top: "layer60-conv" | |
| name: "layer60-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer60-conv" | |
| top: "layer61-conv" | |
| name: "layer61-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer61-conv" | |
| top: "layer61-conv" | |
| name: "layer61-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer61-conv" | |
| top: "layer61-conv" | |
| name: "layer61-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer61-conv" | |
| top: "layer61-conv" | |
| name: "layer61-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer59-shortcut" | |
| bottom: "layer61-conv" | |
| top: "layer62-shortcut" | |
| name: "layer62-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer62-shortcut" | |
| top: "layer63-conv" | |
| name: "layer63-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 2 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer63-conv" | |
| top: "layer63-conv" | |
| name: "layer63-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer63-conv" | |
| top: "layer63-conv" | |
| name: "layer63-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer63-conv" | |
| top: "layer63-conv" | |
| name: "layer63-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer63-conv" | |
| top: "layer64-conv" | |
| name: "layer64-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer64-conv" | |
| top: "layer64-conv" | |
| name: "layer64-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer64-conv" | |
| top: "layer64-conv" | |
| name: "layer64-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer64-conv" | |
| top: "layer64-conv" | |
| name: "layer64-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer64-conv" | |
| top: "layer65-conv" | |
| name: "layer65-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer65-conv" | |
| top: "layer65-conv" | |
| name: "layer65-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer65-conv" | |
| top: "layer65-conv" | |
| name: "layer65-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer65-conv" | |
| top: "layer65-conv" | |
| name: "layer65-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer63-conv" | |
| bottom: "layer65-conv" | |
| top: "layer66-shortcut" | |
| name: "layer66-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer66-shortcut" | |
| top: "layer67-conv" | |
| name: "layer67-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer67-conv" | |
| top: "layer67-conv" | |
| name: "layer67-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer67-conv" | |
| top: "layer67-conv" | |
| name: "layer67-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer67-conv" | |
| top: "layer67-conv" | |
| name: "layer67-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer67-conv" | |
| top: "layer68-conv" | |
| name: "layer68-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer68-conv" | |
| top: "layer68-conv" | |
| name: "layer68-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer68-conv" | |
| top: "layer68-conv" | |
| name: "layer68-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer68-conv" | |
| top: "layer68-conv" | |
| name: "layer68-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer66-shortcut" | |
| bottom: "layer68-conv" | |
| top: "layer69-shortcut" | |
| name: "layer69-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer69-shortcut" | |
| top: "layer70-conv" | |
| name: "layer70-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer70-conv" | |
| top: "layer70-conv" | |
| name: "layer70-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer70-conv" | |
| top: "layer70-conv" | |
| name: "layer70-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer70-conv" | |
| top: "layer70-conv" | |
| name: "layer70-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer70-conv" | |
| top: "layer71-conv" | |
| name: "layer71-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer71-conv" | |
| top: "layer71-conv" | |
| name: "layer71-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer71-conv" | |
| top: "layer71-conv" | |
| name: "layer71-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer71-conv" | |
| top: "layer71-conv" | |
| name: "layer71-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer69-shortcut" | |
| bottom: "layer71-conv" | |
| top: "layer72-shortcut" | |
| name: "layer72-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer72-shortcut" | |
| top: "layer73-conv" | |
| name: "layer73-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer73-conv" | |
| top: "layer73-conv" | |
| name: "layer73-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer73-conv" | |
| top: "layer73-conv" | |
| name: "layer73-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer73-conv" | |
| top: "layer73-conv" | |
| name: "layer73-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer73-conv" | |
| top: "layer74-conv" | |
| name: "layer74-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer74-conv" | |
| top: "layer74-conv" | |
| name: "layer74-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer74-conv" | |
| top: "layer74-conv" | |
| name: "layer74-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer74-conv" | |
| top: "layer74-conv" | |
| name: "layer74-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer72-shortcut" | |
| bottom: "layer74-conv" | |
| top: "layer75-shortcut" | |
| name: "layer75-shortcut" | |
| type: "Eltwise" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| bottom: "layer75-shortcut" | |
| top: "layer76-conv" | |
| name: "layer76-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer76-conv" | |
| top: "layer76-conv" | |
| name: "layer76-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer76-conv" | |
| top: "layer76-conv" | |
| name: "layer76-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer76-conv" | |
| top: "layer76-conv" | |
| name: "layer76-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer76-conv" | |
| top: "layer77-conv" | |
| name: "layer77-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer77-conv" | |
| top: "layer77-conv" | |
| name: "layer77-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer77-conv" | |
| top: "layer77-conv" | |
| name: "layer77-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer77-conv" | |
| top: "layer77-conv" | |
| name: "layer77-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer77-conv" | |
| top: "layer78-conv" | |
| name: "layer78-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer78-conv" | |
| top: "layer78-conv" | |
| name: "layer78-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer78-conv" | |
| top: "layer78-conv" | |
| name: "layer78-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer78-conv" | |
| top: "layer78-conv" | |
| name: "layer78-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer78-conv" | |
| top: "layer79-conv" | |
| name: "layer79-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer79-conv" | |
| top: "layer79-conv" | |
| name: "layer79-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer79-conv" | |
| top: "layer79-conv" | |
| name: "layer79-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer79-conv" | |
| top: "layer79-conv" | |
| name: "layer79-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer79-conv" | |
| top: "layer80-conv" | |
| name: "layer80-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer80-conv" | |
| top: "layer80-conv" | |
| name: "layer80-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer80-conv" | |
| top: "layer80-conv" | |
| name: "layer80-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer80-conv" | |
| top: "layer80-conv" | |
| name: "layer80-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer80-conv" | |
| top: "layer81-conv" | |
| name: "layer81-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer81-conv" | |
| top: "layer81-conv" | |
| name: "layer81-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer81-conv" | |
| top: "layer81-conv" | |
| name: "layer81-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer81-conv" | |
| top: "layer81-conv" | |
| name: "layer81-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer81-conv" | |
| top: "layer82-conv" | |
| name: "layer82-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 255 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "layer82-conv" | |
| type: "Concat" | |
| top: "layer83-yolo" | |
| name: "layer83-yolo" | |
| } | |
| layer { | |
| bottom: "layer80-conv" | |
| top: "layer84-route" | |
| name: "layer84-route" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "layer84-route" | |
| top: "layer85-conv" | |
| name: "layer85-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer85-conv" | |
| top: "layer85-conv" | |
| name: "layer85-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer85-conv" | |
| top: "layer85-conv" | |
| name: "layer85-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer85-conv" | |
| top: "layer85-conv" | |
| name: "layer85-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer85-conv" | |
| top: "layer86-upsample" | |
| name: "layer86-upsample" | |
| type: "Upsample" | |
| upsample_param { | |
| scale: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "layer86-upsample" | |
| bottom: "layer62-shortcut" | |
| top: "layer87-route" | |
| name: "layer87-route" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "layer87-route" | |
| top: "layer88-conv" | |
| name: "layer88-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer88-conv" | |
| top: "layer88-conv" | |
| name: "layer88-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer88-conv" | |
| top: "layer88-conv" | |
| name: "layer88-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer88-conv" | |
| top: "layer88-conv" | |
| name: "layer88-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer88-conv" | |
| top: "layer89-conv" | |
| name: "layer89-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer89-conv" | |
| top: "layer89-conv" | |
| name: "layer89-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer89-conv" | |
| top: "layer89-conv" | |
| name: "layer89-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer89-conv" | |
| top: "layer89-conv" | |
| name: "layer89-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer89-conv" | |
| top: "layer90-conv" | |
| name: "layer90-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer90-conv" | |
| top: "layer90-conv" | |
| name: "layer90-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer90-conv" | |
| top: "layer90-conv" | |
| name: "layer90-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer90-conv" | |
| top: "layer90-conv" | |
| name: "layer90-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer90-conv" | |
| top: "layer91-conv" | |
| name: "layer91-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer91-conv" | |
| top: "layer91-conv" | |
| name: "layer91-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer91-conv" | |
| top: "layer91-conv" | |
| name: "layer91-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer91-conv" | |
| top: "layer91-conv" | |
| name: "layer91-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer91-conv" | |
| top: "layer92-conv" | |
| name: "layer92-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer92-conv" | |
| top: "layer92-conv" | |
| name: "layer92-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer92-conv" | |
| top: "layer92-conv" | |
| name: "layer92-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer92-conv" | |
| top: "layer92-conv" | |
| name: "layer92-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer92-conv" | |
| top: "layer93-conv" | |
| name: "layer93-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 512 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer93-conv" | |
| top: "layer93-conv" | |
| name: "layer93-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer93-conv" | |
| top: "layer93-conv" | |
| name: "layer93-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer93-conv" | |
| top: "layer93-conv" | |
| name: "layer93-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer93-conv" | |
| top: "layer94-conv" | |
| name: "layer94-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 255 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "layer94-conv" | |
| type: "Concat" | |
| top: "layer95-yolo" | |
| name: "layer95-yolo" | |
| } | |
| layer { | |
| bottom: "layer92-conv" | |
| top: "layer96-route" | |
| name: "layer96-route" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "layer96-route" | |
| top: "layer97-conv" | |
| name: "layer97-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer97-conv" | |
| top: "layer97-conv" | |
| name: "layer97-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer97-conv" | |
| top: "layer97-conv" | |
| name: "layer97-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer97-conv" | |
| top: "layer97-conv" | |
| name: "layer97-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer97-conv" | |
| top: "layer98-upsample" | |
| name: "layer98-upsample" | |
| type: "Upsample" | |
| upsample_param { | |
| scale: 2 | |
| } | |
| } | |
| layer { | |
| bottom: "layer98-upsample" | |
| bottom: "layer37-shortcut" | |
| top: "layer99-route" | |
| name: "layer99-route" | |
| type: "Concat" | |
| } | |
| layer { | |
| bottom: "layer99-route" | |
| top: "layer100-conv" | |
| name: "layer100-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer100-conv" | |
| top: "layer100-conv" | |
| name: "layer100-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer100-conv" | |
| top: "layer100-conv" | |
| name: "layer100-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer100-conv" | |
| top: "layer100-conv" | |
| name: "layer100-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer100-conv" | |
| top: "layer101-conv" | |
| name: "layer101-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer101-conv" | |
| top: "layer101-conv" | |
| name: "layer101-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer101-conv" | |
| top: "layer101-conv" | |
| name: "layer101-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer101-conv" | |
| top: "layer101-conv" | |
| name: "layer101-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer101-conv" | |
| top: "layer102-conv" | |
| name: "layer102-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer102-conv" | |
| top: "layer102-conv" | |
| name: "layer102-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer102-conv" | |
| top: "layer102-conv" | |
| name: "layer102-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer102-conv" | |
| top: "layer102-conv" | |
| name: "layer102-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer102-conv" | |
| top: "layer103-conv" | |
| name: "layer103-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer103-conv" | |
| top: "layer103-conv" | |
| name: "layer103-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer103-conv" | |
| top: "layer103-conv" | |
| name: "layer103-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer103-conv" | |
| top: "layer103-conv" | |
| name: "layer103-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer103-conv" | |
| top: "layer104-conv" | |
| name: "layer104-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer104-conv" | |
| top: "layer104-conv" | |
| name: "layer104-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer104-conv" | |
| top: "layer104-conv" | |
| name: "layer104-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer104-conv" | |
| top: "layer104-conv" | |
| name: "layer104-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer104-conv" | |
| top: "layer105-conv" | |
| name: "layer105-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 1 | |
| stride: 1 | |
| bias_term: false | |
| } | |
| } | |
| layer { | |
| bottom: "layer105-conv" | |
| top: "layer105-conv" | |
| name: "layer105-bn" | |
| type: "BatchNorm" | |
| batch_norm_param { | |
| eps: 0.0001 | |
| } | |
| } | |
| layer { | |
| bottom: "layer105-conv" | |
| top: "layer105-conv" | |
| name: "layer105-scale" | |
| type: "Scale" | |
| scale_param { | |
| bias_term: true | |
| filler { | |
| value: 1.0 | |
| } | |
| bias_filler { | |
| value: 0.0 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "layer105-conv" | |
| top: "layer105-conv" | |
| name: "layer105-act" | |
| type: "ReLU" | |
| relu_param { | |
| negative_slope: 0.1 | |
| } | |
| } | |
| layer { | |
| bottom: "layer105-conv" | |
| top: "layer106-conv" | |
| name: "layer106-conv" | |
| type: "Convolution" | |
| convolution_param { | |
| num_output: 255 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| pad: 0 | |
| stride: 1 | |
| bias_term: true | |
| } | |
| } | |
| layer { | |
| bottom: "layer83-yolo" | |
| bottom: "layer95-yolo" | |
| bottom: "layer106-conv" | |
| type: "Yolov3DetectionOutput" | |
| top: "layer107-yolo" | |
| name: "layer107-yolo" | |
| yolov3_detection_output_param { | |
| nms_threshold: 0.45 | |
| num_classes: 80 | |
| biases: 10 | |
| biases: 13 | |
| biases: 16 | |
| biases: 30 | |
| biases: 33 | |
| biases: 23 | |
| biases: 30 | |
| biases: 61 | |
| biases: 62 | |
| biases: 45 | |
| biases: 59 | |
| biases: 119 | |
| biases: 116 | |
| biases: 90 | |
| biases: 156 | |
| biases: 198 | |
| biases: 373 | |
| biases: 326 | |
| mask: 6 | |
| mask: 7 | |
| mask: 8 | |
| mask: 3 | |
| mask: 4 | |
| mask: 5 | |
| mask: 0 | |
| mask: 1 | |
| mask: 2 | |
| mask_group_num: 3 | |
| anchors_scale: 32 | |
| anchors_scale: 16 | |
| anchors_scale: 8 | |
| } | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment