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FCN16s Prototxt formatted. Netscope compatible (https://dgschwend.github.io/netscope/#/gist/23ef986f46258fa3303129dabf8066a5).
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| name: 'FCN 16s' | |
| layer { | |
| type: 'data' | |
| name: 'data' | |
| top: 'data' | |
| input_param { | |
| shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 500 | |
| dim: 500 | |
| } | |
| } | |
| force_backward: true | |
| } | |
| layers { | |
| bottom: 'data' | |
| top: 'conv1_1' | |
| name: 'conv1_1' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv1_1' | |
| top: 'conv1_1' | |
| name: 'relu1_1' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv1_1' | |
| top: 'conv1_2' | |
| name: 'conv1_2' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv1_2' | |
| top: 'conv1_2' | |
| name: 'relu1_2' | |
| type: RELU | |
| } | |
| layers { | |
| name: 'pool1' | |
| bottom: 'conv1_2' | |
| top: 'pool1' | |
| type: POOLING | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layers { | |
| name: 'conv2_1' | |
| bottom: 'pool1' | |
| top: 'conv2_1' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv2_1' | |
| top: 'conv2_1' | |
| name: 'relu2_1' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv2_1' | |
| top: 'conv2_2' | |
| name: 'conv2_2' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv2_2' | |
| top: 'conv2_2' | |
| name: 'relu2_2' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv2_2' | |
| top: 'pool2' | |
| name: 'pool2' | |
| type: POOLING | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layers { | |
| bottom: 'pool2' | |
| top: 'conv3_1' | |
| name: 'conv3_1' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv3_1' | |
| top: 'conv3_1' | |
| name: 'relu3_1' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv3_1' | |
| top: 'conv3_2' | |
| name: 'conv3_2' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv3_2' | |
| top: 'conv3_2' | |
| name: 'relu3_2' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv3_2' | |
| top: 'conv3_3' | |
| name: 'conv3_3' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv3_3' | |
| top: 'conv3_3' | |
| name: 'relu3_3' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv3_3' | |
| top: 'pool3' | |
| name: 'pool3' | |
| type: POOLING | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layers { | |
| bottom: 'pool3' | |
| top: 'conv4_1' | |
| name: 'conv4_1' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv4_1' | |
| top: 'conv4_1' | |
| name: 'relu4_1' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv4_1' | |
| top: 'conv4_2' | |
| name: 'conv4_2' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv4_2' | |
| top: 'conv4_2' | |
| name: 'relu4_2' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv4_2' | |
| top: 'conv4_3' | |
| name: 'conv4_3' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv4_3' | |
| top: 'conv4_3' | |
| name: 'relu4_3' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv4_3' | |
| top: 'pool4' | |
| name: 'pool4' | |
| type: POOLING | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layers { | |
| bottom: 'pool4' | |
| top: 'conv5_1' | |
| name: 'conv5_1' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv5_1' | |
| top: 'conv5_1' | |
| name: 'relu5_1' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv5_1' | |
| top: 'conv5_2' | |
| name: 'conv5_2' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv5_2' | |
| top: 'conv5_2' | |
| name: 'relu5_2' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv5_2' | |
| top: 'conv5_3' | |
| name: 'conv5_3' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layers { | |
| bottom: 'conv5_3' | |
| top: 'conv5_3' | |
| name: 'relu5_3' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'conv5_3' | |
| top: 'pool5' | |
| name: 'pool5' | |
| type: POOLING | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layers { | |
| bottom: 'pool5' | |
| top: 'fc6' | |
| name: 'fc6' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| kernel_size: 7 | |
| num_output: 4096 | |
| } | |
| } | |
| layers { | |
| bottom: 'fc6' | |
| top: 'fc6' | |
| name: 'relu6' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'fc6' | |
| top: 'fc6' | |
| name: 'drop6' | |
| type: DROPOUT | |
| dropout_param { | |
| dropout_ratio: 0.5 | |
| } | |
| } | |
| layers { | |
| bottom: 'fc6' | |
| top: 'fc7' | |
| name: 'fc7' | |
| type: CONVOLUTION | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| kernel_size: 1 | |
| num_output: 4096 | |
| } | |
| } | |
| layers { | |
| bottom: 'fc7' | |
| top: 'fc7' | |
| name: 'relu7' | |
| type: RELU | |
| } | |
| layers { | |
| bottom: 'fc7' | |
| top: 'fc7' | |
| name: 'drop7' | |
| type: DROPOUT | |
| dropout_param { | |
| dropout_ratio: 0.5 | |
| } | |
| } | |
| layers { | |
| name: 'score' | |
| type: CONVOLUTION | |
| bottom: 'fc7' | |
| top: 'score' | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 21 | |
| kernel_size: 1 | |
| } | |
| } | |
| layers { | |
| type: DECONVOLUTION | |
| name: 'score2' | |
| bottom: 'score' | |
| top: 'score2' | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| kernel_size: 4 | |
| stride: 2 | |
| num_output: 21 | |
| } | |
| } | |
| layers { | |
| name: 'score-pool4' | |
| type: CONVOLUTION | |
| bottom: 'pool4' | |
| top: 'score-pool4' | |
| blobs_lr: 1 | |
| blobs_lr: 2 | |
| weight_decay: 1 | |
| weight_decay: 0 | |
| convolution_param { | |
| engine: CAFFE | |
| num_output: 21 | |
| kernel_size: 1 | |
| } | |
| } | |
| layers { | |
| type: CROP | |
| name: 'score-pool4c' | |
| bottom: 'score-pool4' | |
| top: 'score-pool44c' | |
| bottom: 'score2' | |
| } | |
| layers { | |
| type: ELTWISE | |
| name: 'score-fuse' | |
| bottom: 'score2' | |
| bottom: 'score-pool4c' | |
| top: 'score-fuse' | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layers { | |
| type: DECONVOLUTION | |
| name: 'bigscore' | |
| bottom: 'score-fuse' | |
| top: 'bigscore' | |
| blobs_lr: 0 | |
| blobs_lr: 0 | |
| convolution_param { | |
| num_output: 21 | |
| kernel_size: 32 | |
| stride: 16 | |
| } | |
| } | |
| layers { | |
| type: CROP | |
| name: 'upscore' | |
| bottom: 'bigscore' | |
| bottom: 'data' | |
| top: 'upscore' | |
| } | |
| layers { | |
| type: SOFTMAX | |
| name: 'output' | |
| bottom: 'upscore' | |
| } |
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