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Multi-stream architecture. Refine prototxt from https://github.com/daerduoCarey/SpatialTransformerLayer/blob/master/examples/CUB_googLeNet_ST/train_val.prototxt
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| name: "CUB_GoogleNet_ST" | |
| layer { | |
| name: "data" | |
| type: "ImageData" | |
| top: "data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mirror: true | |
| crop_size: 448 | |
| mean_value: 104 | |
| mean_value: 117 | |
| mean_value: 123 | |
| } | |
| image_data_param { | |
| source: "data/CUB_200_2011/train_files.txt" | |
| batch_size: 16 | |
| shuffle: true | |
| new_height: 512 | |
| new_width: 512 | |
| } | |
| } | |
| layer { | |
| name: "downsample" | |
| type: "Pooling" | |
| bottom: "data" | |
| top: "downsampled_data" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "st/conv1/7x7_s2" | |
| type: "Convolution" | |
| bottom: "downsampled_data" | |
| top: "st/conv1/7x7_s2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/conv1/relu_7x7" | |
| type: "ReLU" | |
| bottom: "st/conv1/7x7_s2" | |
| top: "st/conv1/7x7_s2" | |
| } | |
| layer { | |
| name: "st/pool1/3x3_s2" | |
| type: "Pooling" | |
| bottom: "st/conv1/7x7_s2" | |
| top: "st/pool1/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "st/pool1/norm1" | |
| type: "LRN" | |
| bottom: "st/pool1/3x3_s2" | |
| top: "st/pool1/norm1" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "st/conv2/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool1/norm1" | |
| top: "st/conv2/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/conv2/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/conv2/3x3_reduce" | |
| top: "st/conv2/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/conv2/3x3" | |
| type: "Convolution" | |
| bottom: "st/conv2/3x3_reduce" | |
| top: "st/conv2/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/conv2/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/conv2/3x3" | |
| top: "st/conv2/3x3" | |
| } | |
| layer { | |
| name: "st/conv2/norm2" | |
| type: "LRN" | |
| bottom: "st/conv2/3x3" | |
| top: "st/conv2/norm2" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "st/pool2/3x3_s2" | |
| type: "Pooling" | |
| bottom: "st/conv2/norm2" | |
| top: "st/pool2/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/1x1" | |
| type: "Convolution" | |
| bottom: "st/pool2/3x3_s2" | |
| top: "st/inception_3a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_3a/1x1" | |
| top: "st/inception_3a/1x1" | |
| } | |
| layer { | |
| name: "st/inception_3a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool2/3x3_s2" | |
| top: "st/inception_3a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_3a/3x3_reduce" | |
| top: "st/inception_3a/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_3a/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_3a/3x3_reduce" | |
| top: "st/inception_3a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_3a/3x3" | |
| top: "st/inception_3a/3x3" | |
| } | |
| layer { | |
| name: "st/inception_3a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool2/3x3_s2" | |
| top: "st/inception_3a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_3a/5x5_reduce" | |
| top: "st/inception_3a/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_3a/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_3a/5x5_reduce" | |
| top: "st/inception_3a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_3a/5x5" | |
| top: "st/inception_3a/5x5" | |
| } | |
| layer { | |
| name: "st/inception_3a/pool" | |
| type: "Pooling" | |
| bottom: "st/pool2/3x3_s2" | |
| top: "st/inception_3a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_3a/pool" | |
| top: "st/inception_3a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_3a/pool_proj" | |
| top: "st/inception_3a/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_3a/output" | |
| type: "Concat" | |
| bottom: "st/inception_3a/1x1" | |
| bottom: "st/inception_3a/3x3" | |
| bottom: "st/inception_3a/5x5" | |
| bottom: "st/inception_3a/pool_proj" | |
| top: "st/inception_3a/output" | |
| } | |
| layer { | |
| name: "st/inception_3b/1x1" | |
| type: "Convolution" | |
| bottom: "st/inception_3a/output" | |
| top: "st/inception_3b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_3b/1x1" | |
| top: "st/inception_3b/1x1" | |
| } | |
| layer { | |
| name: "st/inception_3b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_3a/output" | |
| top: "st/inception_3b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_3b/3x3_reduce" | |
| top: "st/inception_3b/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_3b/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_3b/3x3_reduce" | |
| top: "st/inception_3b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_3b/3x3" | |
| top: "st/inception_3b/3x3" | |
| } | |
| layer { | |
| name: "st/inception_3b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_3a/output" | |
| top: "st/inception_3b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_3b/5x5_reduce" | |
| top: "st/inception_3b/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_3b/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_3b/5x5_reduce" | |
| top: "st/inception_3b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_3b/5x5" | |
| top: "st/inception_3b/5x5" | |
| } | |
| layer { | |
| name: "st/inception_3b/pool" | |
| type: "Pooling" | |
| bottom: "st/inception_3a/output" | |
| top: "st/inception_3b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_3b/pool" | |
| top: "st/inception_3b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_3b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_3b/pool_proj" | |
| top: "st/inception_3b/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_3b/output" | |
| type: "Concat" | |
| bottom: "st/inception_3b/1x1" | |
| bottom: "st/inception_3b/3x3" | |
| bottom: "st/inception_3b/5x5" | |
| bottom: "st/inception_3b/pool_proj" | |
| top: "st/inception_3b/output" | |
| } | |
| layer { | |
| name: "st/pool3/3x3_s2" | |
| type: "Pooling" | |
| bottom: "st/inception_3b/output" | |
| top: "st/pool3/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/1x1" | |
| type: "Convolution" | |
| bottom: "st/pool3/3x3_s2" | |
| top: "st/inception_4a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_4a/1x1" | |
| top: "st/inception_4a/1x1" | |
| } | |
| layer { | |
| name: "st/inception_4a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool3/3x3_s2" | |
| top: "st/inception_4a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4a/3x3_reduce" | |
| top: "st/inception_4a/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4a/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_4a/3x3_reduce" | |
| top: "st/inception_4a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 208 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_4a/3x3" | |
| top: "st/inception_4a/3x3" | |
| } | |
| layer { | |
| name: "st/inception_4a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool3/3x3_s2" | |
| top: "st/inception_4a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4a/5x5_reduce" | |
| top: "st/inception_4a/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4a/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_4a/5x5_reduce" | |
| top: "st/inception_4a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_4a/5x5" | |
| top: "st/inception_4a/5x5" | |
| } | |
| layer { | |
| name: "st/inception_4a/pool" | |
| type: "Pooling" | |
| bottom: "st/pool3/3x3_s2" | |
| top: "st/inception_4a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_4a/pool" | |
| top: "st/inception_4a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_4a/pool_proj" | |
| top: "st/inception_4a/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_4a/output" | |
| type: "Concat" | |
| bottom: "st/inception_4a/1x1" | |
| bottom: "st/inception_4a/3x3" | |
| bottom: "st/inception_4a/5x5" | |
| bottom: "st/inception_4a/pool_proj" | |
| top: "st/inception_4a/output" | |
| } | |
| layer { | |
| name: "st/inception_4b/1x1" | |
| type: "Convolution" | |
| bottom: "st/inception_4a/output" | |
| top: "st/inception_4b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_4b/1x1" | |
| top: "st/inception_4b/1x1" | |
| } | |
| layer { | |
| name: "st/inception_4b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4a/output" | |
| top: "st/inception_4b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 112 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4b/3x3_reduce" | |
| top: "st/inception_4b/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4b/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_4b/3x3_reduce" | |
| top: "st/inception_4b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_4b/3x3" | |
| top: "st/inception_4b/3x3" | |
| } | |
| layer { | |
| name: "st/inception_4b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4a/output" | |
| top: "st/inception_4b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4b/5x5_reduce" | |
| top: "st/inception_4b/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4b/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_4b/5x5_reduce" | |
| top: "st/inception_4b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_4b/5x5" | |
| top: "st/inception_4b/5x5" | |
| } | |
| layer { | |
| name: "st/inception_4b/pool" | |
| type: "Pooling" | |
| bottom: "st/inception_4a/output" | |
| top: "st/inception_4b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_4b/pool" | |
| top: "st/inception_4b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_4b/pool_proj" | |
| top: "st/inception_4b/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_4b/output" | |
| type: "Concat" | |
| bottom: "st/inception_4b/1x1" | |
| bottom: "st/inception_4b/3x3" | |
| bottom: "st/inception_4b/5x5" | |
| bottom: "st/inception_4b/pool_proj" | |
| top: "st/inception_4b/output" | |
| } | |
| layer { | |
| name: "st/inception_4c/1x1" | |
| type: "Convolution" | |
| bottom: "st/inception_4b/output" | |
| top: "st/inception_4c/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_4c/1x1" | |
| top: "st/inception_4c/1x1" | |
| } | |
| layer { | |
| name: "st/inception_4c/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4b/output" | |
| top: "st/inception_4c/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4c/3x3_reduce" | |
| top: "st/inception_4c/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4c/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_4c/3x3_reduce" | |
| top: "st/inception_4c/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_4c/3x3" | |
| top: "st/inception_4c/3x3" | |
| } | |
| layer { | |
| name: "st/inception_4c/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4b/output" | |
| top: "st/inception_4c/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4c/5x5_reduce" | |
| top: "st/inception_4c/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4c/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_4c/5x5_reduce" | |
| top: "st/inception_4c/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_4c/5x5" | |
| top: "st/inception_4c/5x5" | |
| } | |
| layer { | |
| name: "st/inception_4c/pool" | |
| type: "Pooling" | |
| bottom: "st/inception_4b/output" | |
| top: "st/inception_4c/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_4c/pool" | |
| top: "st/inception_4c/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4c/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_4c/pool_proj" | |
| top: "st/inception_4c/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_4c/output" | |
| type: "Concat" | |
| bottom: "st/inception_4c/1x1" | |
| bottom: "st/inception_4c/3x3" | |
| bottom: "st/inception_4c/5x5" | |
| bottom: "st/inception_4c/pool_proj" | |
| top: "st/inception_4c/output" | |
| } | |
| layer { | |
| name: "st/inception_4d/1x1" | |
| type: "Convolution" | |
| bottom: "st/inception_4c/output" | |
| top: "st/inception_4d/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 112 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_4d/1x1" | |
| top: "st/inception_4d/1x1" | |
| } | |
| layer { | |
| name: "st/inception_4d/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4c/output" | |
| top: "st/inception_4d/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4d/3x3_reduce" | |
| top: "st/inception_4d/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4d/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_4d/3x3_reduce" | |
| top: "st/inception_4d/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 288 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_4d/3x3" | |
| top: "st/inception_4d/3x3" | |
| } | |
| layer { | |
| name: "st/inception_4d/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4c/output" | |
| top: "st/inception_4d/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4d/5x5_reduce" | |
| top: "st/inception_4d/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4d/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_4d/5x5_reduce" | |
| top: "st/inception_4d/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_4d/5x5" | |
| top: "st/inception_4d/5x5" | |
| } | |
| layer { | |
| name: "st/inception_4d/pool" | |
| type: "Pooling" | |
| bottom: "st/inception_4c/output" | |
| top: "st/inception_4d/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_4d/pool" | |
| top: "st/inception_4d/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4d/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_4d/pool_proj" | |
| top: "st/inception_4d/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_4d/output" | |
| type: "Concat" | |
| bottom: "st/inception_4d/1x1" | |
| bottom: "st/inception_4d/3x3" | |
| bottom: "st/inception_4d/5x5" | |
| bottom: "st/inception_4d/pool_proj" | |
| top: "st/inception_4d/output" | |
| } | |
| layer { | |
| name: "st/inception_4e/1x1" | |
| type: "Convolution" | |
| bottom: "st/inception_4d/output" | |
| top: "st/inception_4e/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_4e/1x1" | |
| top: "st/inception_4e/1x1" | |
| } | |
| layer { | |
| name: "st/inception_4e/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4d/output" | |
| top: "st/inception_4e/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4e/3x3_reduce" | |
| top: "st/inception_4e/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4e/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_4e/3x3_reduce" | |
| top: "st/inception_4e/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_4e/3x3" | |
| top: "st/inception_4e/3x3" | |
| } | |
| layer { | |
| name: "st/inception_4e/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_4d/output" | |
| top: "st/inception_4e/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_4e/5x5_reduce" | |
| top: "st/inception_4e/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_4e/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_4e/5x5_reduce" | |
| top: "st/inception_4e/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_4e/5x5" | |
| top: "st/inception_4e/5x5" | |
| } | |
| layer { | |
| name: "st/inception_4e/pool" | |
| type: "Pooling" | |
| bottom: "st/inception_4d/output" | |
| top: "st/inception_4e/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_4e/pool" | |
| top: "st/inception_4e/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_4e/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_4e/pool_proj" | |
| top: "st/inception_4e/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_4e/output" | |
| type: "Concat" | |
| bottom: "st/inception_4e/1x1" | |
| bottom: "st/inception_4e/3x3" | |
| bottom: "st/inception_4e/5x5" | |
| bottom: "st/inception_4e/pool_proj" | |
| top: "st/inception_4e/output" | |
| } | |
| layer { | |
| name: "st/pool4/3x3_s2" | |
| type: "Pooling" | |
| bottom: "st/inception_4e/output" | |
| top: "st/pool4/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/1x1" | |
| type: "Convolution" | |
| bottom: "st/pool4/3x3_s2" | |
| top: "st/inception_5a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_5a/1x1" | |
| top: "st/inception_5a/1x1" | |
| } | |
| layer { | |
| name: "st/inception_5a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool4/3x3_s2" | |
| top: "st/inception_5a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_5a/3x3_reduce" | |
| top: "st/inception_5a/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_5a/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_5a/3x3_reduce" | |
| top: "st/inception_5a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_5a/3x3" | |
| top: "st/inception_5a/3x3" | |
| } | |
| layer { | |
| name: "st/inception_5a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/pool4/3x3_s2" | |
| top: "st/inception_5a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_5a/5x5_reduce" | |
| top: "st/inception_5a/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_5a/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_5a/5x5_reduce" | |
| top: "st/inception_5a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_5a/5x5" | |
| top: "st/inception_5a/5x5" | |
| } | |
| layer { | |
| name: "st/inception_5a/pool" | |
| type: "Pooling" | |
| bottom: "st/pool4/3x3_s2" | |
| top: "st/inception_5a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_5a/pool" | |
| top: "st/inception_5a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_5a/pool_proj" | |
| top: "st/inception_5a/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_5a/output" | |
| type: "Concat" | |
| bottom: "st/inception_5a/1x1" | |
| bottom: "st/inception_5a/3x3" | |
| bottom: "st/inception_5a/5x5" | |
| bottom: "st/inception_5a/pool_proj" | |
| top: "st/inception_5a/output" | |
| } | |
| layer { | |
| name: "st/inception_5b/1x1" | |
| type: "Convolution" | |
| bottom: "st/inception_5a/output" | |
| top: "st/inception_5b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 384 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "st/inception_5b/1x1" | |
| top: "st/inception_5b/1x1" | |
| } | |
| layer { | |
| name: "st/inception_5b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_5a/output" | |
| top: "st/inception_5b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_5b/3x3_reduce" | |
| top: "st/inception_5b/3x3_reduce" | |
| } | |
| layer { | |
| name: "st/inception_5b/3x3" | |
| type: "Convolution" | |
| bottom: "st/inception_5b/3x3_reduce" | |
| top: "st/inception_5b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 384 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "st/inception_5b/3x3" | |
| top: "st/inception_5b/3x3" | |
| } | |
| layer { | |
| name: "st/inception_5b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "st/inception_5a/output" | |
| top: "st/inception_5b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "st/inception_5b/5x5_reduce" | |
| top: "st/inception_5b/5x5_reduce" | |
| } | |
| layer { | |
| name: "st/inception_5b/5x5" | |
| type: "Convolution" | |
| bottom: "st/inception_5b/5x5_reduce" | |
| top: "st/inception_5b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "st/inception_5b/5x5" | |
| top: "st/inception_5b/5x5" | |
| } | |
| layer { | |
| name: "st/inception_5b/pool" | |
| type: "Pooling" | |
| bottom: "st/inception_5a/output" | |
| top: "st/inception_5b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/pool_proj" | |
| type: "Convolution" | |
| bottom: "st/inception_5b/pool" | |
| top: "st/inception_5b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/inception_5b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "st/inception_5b/pool_proj" | |
| top: "st/inception_5b/pool_proj" | |
| } | |
| layer { | |
| name: "st/inception_5b/output" | |
| type: "Concat" | |
| bottom: "st/inception_5b/1x1" | |
| bottom: "st/inception_5b/3x3" | |
| bottom: "st/inception_5b/5x5" | |
| bottom: "st/inception_5b/pool_proj" | |
| top: "st/inception_5b/output" | |
| } | |
| layer { | |
| name: "st/final_conv" | |
| type: "Convolution" | |
| bottom: "st/inception_5b/output" | |
| top: "st/final_conv" | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.02 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/final_conv/relu" | |
| type: "ReLU" | |
| bottom: "st/final_conv" | |
| top: "st/final_conv" | |
| } | |
| layer { | |
| name: "st/final_ip" | |
| type: "InnerProduct" | |
| bottom: "st/final_conv" | |
| top: "st/final_ip" | |
| inner_product_param { | |
| num_output: 128 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.02 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/final_ip/relu" | |
| type: "ReLU" | |
| bottom: "st/final_ip" | |
| top: "st/final_ip" | |
| } | |
| layer { | |
| name: "st/theta_1" | |
| type: "InnerProduct" | |
| bottom: "st/final_ip" | |
| top: "st/theta_1" | |
| param { | |
| lr_mult: 0.01 | |
| decay_mult: 10 | |
| } | |
| param { | |
| lr_mult: 0.01 | |
| decay_mult: 10 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/theta_1_loss" | |
| type: "LocLoss" | |
| bottom: "st/theta_1" | |
| top: "st/theta_1_loss" | |
| loc_loss_param { | |
| threshold: 0.5 | |
| } | |
| loss_weight: 0.01 | |
| } | |
| layer { | |
| name: "st_1" | |
| type: "SpatialTransformer" | |
| bottom: "data" | |
| bottom: "st/theta_1" | |
| top: "inc1/data" | |
| st_param { | |
| to_compute_dU: false | |
| output_H: 224 | |
| output_W: 224 | |
| theta_1_1: 0.5 | |
| theta_1_2: 0 | |
| theta_2_1: 0 | |
| theta_2_2: 0.5 | |
| } | |
| } | |
| layer { | |
| name: "st/theta_2" | |
| type: "InnerProduct" | |
| bottom: "st/final_ip" | |
| top: "st/theta_2" | |
| param { | |
| lr_mult: 0.01 | |
| decay_mult: 10 | |
| } | |
| param { | |
| lr_mult: 0.01 | |
| decay_mult: 10 | |
| } | |
| inner_product_param { | |
| num_output: 2 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "st/theta_2_loss" | |
| type: "LocLoss" | |
| bottom: "st/theta_2" | |
| top: "st/theta_2_loss" | |
| loc_loss_param { | |
| threshold: 0.5 | |
| } | |
| loss_weight: 0.01 | |
| } | |
| layer { | |
| name: "st_2" | |
| type: "SpatialTransformer" | |
| bottom: "data" | |
| bottom: "st/theta_2" | |
| top: "inc2/data" | |
| st_param { | |
| to_compute_dU: false | |
| output_H: 224 | |
| output_W: 224 | |
| theta_1_1: 0.5 | |
| theta_1_2: 0 | |
| theta_2_1: 0 | |
| theta_2_2: 0.5 | |
| } | |
| } | |
| layer { | |
| name: "inc1/conv1/7x7_s2" | |
| type: "Convolution" | |
| bottom: "inc1/data" | |
| top: "inc1/conv1/7x7_s2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/conv1/relu_7x7" | |
| type: "ReLU" | |
| bottom: "inc1/conv1/7x7_s2" | |
| top: "inc1/conv1/7x7_s2" | |
| } | |
| layer { | |
| name: "inc1/pool1/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc1/conv1/7x7_s2" | |
| top: "inc1/pool1/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc1/pool1/norm1" | |
| type: "LRN" | |
| bottom: "inc1/pool1/3x3_s2" | |
| top: "inc1/pool1/norm1" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "inc1/conv2/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool1/norm1" | |
| top: "inc1/conv2/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/conv2/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/conv2/3x3_reduce" | |
| top: "inc1/conv2/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/conv2/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/conv2/3x3_reduce" | |
| top: "inc1/conv2/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/conv2/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/conv2/3x3" | |
| top: "inc1/conv2/3x3" | |
| } | |
| layer { | |
| name: "inc1/conv2/norm2" | |
| type: "LRN" | |
| bottom: "inc1/conv2/3x3" | |
| top: "inc1/conv2/norm2" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "inc1/pool2/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc1/conv2/norm2" | |
| top: "inc1/pool2/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/pool2/3x3_s2" | |
| top: "inc1/inception_3a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3a/1x1" | |
| top: "inc1/inception_3a/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_3a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool2/3x3_s2" | |
| top: "inc1/inception_3a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3a/3x3_reduce" | |
| top: "inc1/inception_3a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_3a/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3a/3x3_reduce" | |
| top: "inc1/inception_3a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3a/3x3" | |
| top: "inc1/inception_3a/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_3a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool2/3x3_s2" | |
| top: "inc1/inception_3a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3a/5x5_reduce" | |
| top: "inc1/inception_3a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_3a/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3a/5x5_reduce" | |
| top: "inc1/inception_3a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3a/5x5" | |
| top: "inc1/inception_3a/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_3a/pool" | |
| type: "Pooling" | |
| bottom: "inc1/pool2/3x3_s2" | |
| top: "inc1/inception_3a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3a/pool" | |
| top: "inc1/inception_3a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3a/pool_proj" | |
| top: "inc1/inception_3a/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_3a/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_3a/1x1" | |
| bottom: "inc1/inception_3a/3x3" | |
| bottom: "inc1/inception_3a/5x5" | |
| bottom: "inc1/inception_3a/pool_proj" | |
| top: "inc1/inception_3a/output" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3a/output" | |
| top: "inc1/inception_3b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3b/1x1" | |
| top: "inc1/inception_3b/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3a/output" | |
| top: "inc1/inception_3b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3b/3x3_reduce" | |
| top: "inc1/inception_3b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3b/3x3_reduce" | |
| top: "inc1/inception_3b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3b/3x3" | |
| top: "inc1/inception_3b/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3a/output" | |
| top: "inc1/inception_3b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3b/5x5_reduce" | |
| top: "inc1/inception_3b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3b/5x5_reduce" | |
| top: "inc1/inception_3b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3b/5x5" | |
| top: "inc1/inception_3b/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_3a/output" | |
| top: "inc1/inception_3b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_3b/pool" | |
| top: "inc1/inception_3b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_3b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_3b/pool_proj" | |
| top: "inc1/inception_3b/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_3b/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_3b/1x1" | |
| bottom: "inc1/inception_3b/3x3" | |
| bottom: "inc1/inception_3b/5x5" | |
| bottom: "inc1/inception_3b/pool_proj" | |
| top: "inc1/inception_3b/output" | |
| } | |
| layer { | |
| name: "inc1/pool3/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc1/inception_3b/output" | |
| top: "inc1/pool3/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/pool3/3x3_s2" | |
| top: "inc1/inception_4a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4a/1x1" | |
| top: "inc1/inception_4a/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_4a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool3/3x3_s2" | |
| top: "inc1/inception_4a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4a/3x3_reduce" | |
| top: "inc1/inception_4a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4a/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4a/3x3_reduce" | |
| top: "inc1/inception_4a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 208 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4a/3x3" | |
| top: "inc1/inception_4a/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_4a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool3/3x3_s2" | |
| top: "inc1/inception_4a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4a/5x5_reduce" | |
| top: "inc1/inception_4a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4a/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4a/5x5_reduce" | |
| top: "inc1/inception_4a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4a/5x5" | |
| top: "inc1/inception_4a/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_4a/pool" | |
| type: "Pooling" | |
| bottom: "inc1/pool3/3x3_s2" | |
| top: "inc1/inception_4a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4a/pool" | |
| top: "inc1/inception_4a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4a/pool_proj" | |
| top: "inc1/inception_4a/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_4a/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_4a/1x1" | |
| bottom: "inc1/inception_4a/3x3" | |
| bottom: "inc1/inception_4a/5x5" | |
| bottom: "inc1/inception_4a/pool_proj" | |
| top: "inc1/inception_4a/output" | |
| } | |
| layer { | |
| name: "inc1/loss1/ave_pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4a/output" | |
| top: "inc1/loss1/ave_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 5 | |
| stride: 3 | |
| } | |
| } | |
| layer { | |
| name: "inc1/loss1/conv" | |
| type: "Convolution" | |
| bottom: "inc1/loss1/ave_pool" | |
| top: "inc1/loss1/conv" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/loss1/relu_conv" | |
| type: "ReLU" | |
| bottom: "inc1/loss1/conv" | |
| top: "inc1/loss1/conv" | |
| } | |
| layer { | |
| name: "inc1/loss1/fc" | |
| type: "InnerProduct" | |
| bottom: "inc1/loss1/conv" | |
| top: "inc1/loss1/fc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 1024 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/loss1/relu_fc" | |
| type: "ReLU" | |
| bottom: "inc1/loss1/fc" | |
| top: "inc1/loss1/fc" | |
| } | |
| layer { | |
| name: "inc1/loss1/drop_fc" | |
| type: "Dropout" | |
| bottom: "inc1/loss1/fc" | |
| top: "inc1/loss1/fc" | |
| dropout_param { | |
| dropout_ratio: 0.7 | |
| } | |
| } | |
| layer { | |
| name: "inc2/conv1/7x7_s2" | |
| type: "Convolution" | |
| bottom: "inc2/data" | |
| top: "inc2/conv1/7x7_s2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/conv1/relu_7x7" | |
| type: "ReLU" | |
| bottom: "inc2/conv1/7x7_s2" | |
| top: "inc2/conv1/7x7_s2" | |
| } | |
| layer { | |
| name: "inc2/pool1/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc2/conv1/7x7_s2" | |
| top: "inc2/pool1/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc2/pool1/norm1" | |
| type: "LRN" | |
| bottom: "inc2/pool1/3x3_s2" | |
| top: "inc2/pool1/norm1" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "inc2/conv2/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool1/norm1" | |
| top: "inc2/conv2/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/conv2/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/conv2/3x3_reduce" | |
| top: "inc2/conv2/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/conv2/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/conv2/3x3_reduce" | |
| top: "inc2/conv2/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/conv2/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/conv2/3x3" | |
| top: "inc2/conv2/3x3" | |
| } | |
| layer { | |
| name: "inc2/conv2/norm2" | |
| type: "LRN" | |
| bottom: "inc2/conv2/3x3" | |
| top: "inc2/conv2/norm2" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "inc2/pool2/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc2/conv2/norm2" | |
| top: "inc2/pool2/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/pool2/3x3_s2" | |
| top: "inc2/inception_3a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3a/1x1" | |
| top: "inc2/inception_3a/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_3a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool2/3x3_s2" | |
| top: "inc2/inception_3a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3a/3x3_reduce" | |
| top: "inc2/inception_3a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_3a/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3a/3x3_reduce" | |
| top: "inc2/inception_3a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3a/3x3" | |
| top: "inc2/inception_3a/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_3a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool2/3x3_s2" | |
| top: "inc2/inception_3a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3a/5x5_reduce" | |
| top: "inc2/inception_3a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_3a/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3a/5x5_reduce" | |
| top: "inc2/inception_3a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3a/5x5" | |
| top: "inc2/inception_3a/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_3a/pool" | |
| type: "Pooling" | |
| bottom: "inc2/pool2/3x3_s2" | |
| top: "inc2/inception_3a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3a/pool" | |
| top: "inc2/inception_3a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3a/pool_proj" | |
| top: "inc2/inception_3a/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_3a/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_3a/1x1" | |
| bottom: "inc2/inception_3a/3x3" | |
| bottom: "inc2/inception_3a/5x5" | |
| bottom: "inc2/inception_3a/pool_proj" | |
| top: "inc2/inception_3a/output" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3a/output" | |
| top: "inc2/inception_3b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3b/1x1" | |
| top: "inc2/inception_3b/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3a/output" | |
| top: "inc2/inception_3b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3b/3x3_reduce" | |
| top: "inc2/inception_3b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3b/3x3_reduce" | |
| top: "inc2/inception_3b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3b/3x3" | |
| top: "inc2/inception_3b/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3a/output" | |
| top: "inc2/inception_3b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3b/5x5_reduce" | |
| top: "inc2/inception_3b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3b/5x5_reduce" | |
| top: "inc2/inception_3b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3b/5x5" | |
| top: "inc2/inception_3b/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_3a/output" | |
| top: "inc2/inception_3b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_3b/pool" | |
| top: "inc2/inception_3b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_3b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_3b/pool_proj" | |
| top: "inc2/inception_3b/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_3b/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_3b/1x1" | |
| bottom: "inc2/inception_3b/3x3" | |
| bottom: "inc2/inception_3b/5x5" | |
| bottom: "inc2/inception_3b/pool_proj" | |
| top: "inc2/inception_3b/output" | |
| } | |
| layer { | |
| name: "inc2/pool3/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc2/inception_3b/output" | |
| top: "inc2/pool3/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/pool3/3x3_s2" | |
| top: "inc2/inception_4a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4a/1x1" | |
| top: "inc2/inception_4a/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_4a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool3/3x3_s2" | |
| top: "inc2/inception_4a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4a/3x3_reduce" | |
| top: "inc2/inception_4a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4a/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4a/3x3_reduce" | |
| top: "inc2/inception_4a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 208 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4a/3x3" | |
| top: "inc2/inception_4a/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_4a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool3/3x3_s2" | |
| top: "inc2/inception_4a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4a/5x5_reduce" | |
| top: "inc2/inception_4a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4a/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4a/5x5_reduce" | |
| top: "inc2/inception_4a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4a/5x5" | |
| top: "inc2/inception_4a/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_4a/pool" | |
| type: "Pooling" | |
| bottom: "inc2/pool3/3x3_s2" | |
| top: "inc2/inception_4a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4a/pool" | |
| top: "inc2/inception_4a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4a/pool_proj" | |
| top: "inc2/inception_4a/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_4a/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_4a/1x1" | |
| bottom: "inc2/inception_4a/3x3" | |
| bottom: "inc2/inception_4a/5x5" | |
| bottom: "inc2/inception_4a/pool_proj" | |
| top: "inc2/inception_4a/output" | |
| } | |
| layer { | |
| name: "inc2/loss1/ave_pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4a/output" | |
| top: "inc2/loss1/ave_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 5 | |
| stride: 3 | |
| } | |
| } | |
| layer { | |
| name: "inc2/loss1/conv" | |
| type: "Convolution" | |
| bottom: "inc2/loss1/ave_pool" | |
| top: "inc2/loss1/conv" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/loss1/relu_conv" | |
| type: "ReLU" | |
| bottom: "inc2/loss1/conv" | |
| top: "inc2/loss1/conv" | |
| } | |
| layer { | |
| name: "inc2/loss1/fc" | |
| type: "InnerProduct" | |
| bottom: "inc2/loss1/conv" | |
| top: "inc2/loss1/fc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 1024 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/loss1/relu_fc" | |
| type: "ReLU" | |
| bottom: "inc2/loss1/fc" | |
| top: "inc2/loss1/fc" | |
| } | |
| layer { | |
| name: "inc2/loss1/drop_fc" | |
| type: "Dropout" | |
| bottom: "inc2/loss1/fc" | |
| top: "inc2/loss1/fc" | |
| dropout_param { | |
| dropout_ratio: 0.7 | |
| } | |
| } | |
| layer { | |
| name: "loss1/concat" | |
| type: "Concat" | |
| bottom: "inc1/loss1/fc" | |
| bottom: "inc2/loss1/fc" | |
| top: "loss1/fc" | |
| } | |
| layer { | |
| name: "loss1/classifier" | |
| type: "InnerProduct" | |
| bottom: "loss1/fc" | |
| top: "loss1/classifier" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 200 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "loss1/loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "loss1/classifier" | |
| bottom: "label" | |
| top: "loss1/loss1" | |
| loss_weight: 0.3 | |
| } | |
| layer { | |
| name: "loss1/top-1" | |
| type: "Accuracy" | |
| bottom: "loss1/classifier" | |
| bottom: "label" | |
| top: "loss1/top-1" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4a/output" | |
| top: "inc1/inception_4b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4b/1x1" | |
| top: "inc1/inception_4b/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4a/output" | |
| top: "inc1/inception_4b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 112 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4b/3x3_reduce" | |
| top: "inc1/inception_4b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4b/3x3_reduce" | |
| top: "inc1/inception_4b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4b/3x3" | |
| top: "inc1/inception_4b/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4a/output" | |
| top: "inc1/inception_4b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4b/5x5_reduce" | |
| top: "inc1/inception_4b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4b/5x5_reduce" | |
| top: "inc1/inception_4b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4b/5x5" | |
| top: "inc1/inception_4b/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4a/output" | |
| top: "inc1/inception_4b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4b/pool" | |
| top: "inc1/inception_4b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4b/pool_proj" | |
| top: "inc1/inception_4b/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_4b/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_4b/1x1" | |
| bottom: "inc1/inception_4b/3x3" | |
| bottom: "inc1/inception_4b/5x5" | |
| bottom: "inc1/inception_4b/pool_proj" | |
| top: "inc1/inception_4b/output" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4b/output" | |
| top: "inc1/inception_4c/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4c/1x1" | |
| top: "inc1/inception_4c/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4b/output" | |
| top: "inc1/inception_4c/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4c/3x3_reduce" | |
| top: "inc1/inception_4c/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4c/3x3_reduce" | |
| top: "inc1/inception_4c/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4c/3x3" | |
| top: "inc1/inception_4c/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4b/output" | |
| top: "inc1/inception_4c/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4c/5x5_reduce" | |
| top: "inc1/inception_4c/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4c/5x5_reduce" | |
| top: "inc1/inception_4c/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4c/5x5" | |
| top: "inc1/inception_4c/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4b/output" | |
| top: "inc1/inception_4c/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4c/pool" | |
| top: "inc1/inception_4c/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4c/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4c/pool_proj" | |
| top: "inc1/inception_4c/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_4c/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_4c/1x1" | |
| bottom: "inc1/inception_4c/3x3" | |
| bottom: "inc1/inception_4c/5x5" | |
| bottom: "inc1/inception_4c/pool_proj" | |
| top: "inc1/inception_4c/output" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4c/output" | |
| top: "inc1/inception_4d/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 112 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4d/1x1" | |
| top: "inc1/inception_4d/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4c/output" | |
| top: "inc1/inception_4d/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4d/3x3_reduce" | |
| top: "inc1/inception_4d/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4d/3x3_reduce" | |
| top: "inc1/inception_4d/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 288 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4d/3x3" | |
| top: "inc1/inception_4d/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4c/output" | |
| top: "inc1/inception_4d/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4d/5x5_reduce" | |
| top: "inc1/inception_4d/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4d/5x5_reduce" | |
| top: "inc1/inception_4d/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4d/5x5" | |
| top: "inc1/inception_4d/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4c/output" | |
| top: "inc1/inception_4d/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4d/pool" | |
| top: "inc1/inception_4d/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4d/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4d/pool_proj" | |
| top: "inc1/inception_4d/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_4d/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_4d/1x1" | |
| bottom: "inc1/inception_4d/3x3" | |
| bottom: "inc1/inception_4d/5x5" | |
| bottom: "inc1/inception_4d/pool_proj" | |
| top: "inc1/inception_4d/output" | |
| } | |
| layer { | |
| name: "inc1/loss2/ave_pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4d/output" | |
| top: "inc1/loss2/ave_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 5 | |
| stride: 3 | |
| } | |
| } | |
| layer { | |
| name: "inc1/loss2/conv" | |
| type: "Convolution" | |
| bottom: "inc1/loss2/ave_pool" | |
| top: "inc1/loss2/conv" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/loss2/relu_conv" | |
| type: "ReLU" | |
| bottom: "inc1/loss2/conv" | |
| top: "inc1/loss2/conv" | |
| } | |
| layer { | |
| name: "inc1/loss2/fc" | |
| type: "InnerProduct" | |
| bottom: "inc1/loss2/conv" | |
| top: "inc1/loss2/fc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 1024 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/loss2/relu_fc" | |
| type: "ReLU" | |
| bottom: "inc1/loss2/fc" | |
| top: "inc1/loss2/fc" | |
| } | |
| layer { | |
| name: "inc1/loss2/drop_fc" | |
| type: "Dropout" | |
| bottom: "inc1/loss2/fc" | |
| top: "inc1/loss2/fc" | |
| dropout_param { | |
| dropout_ratio: 0.7 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4a/output" | |
| top: "inc2/inception_4b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4b/1x1" | |
| top: "inc2/inception_4b/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_4b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4a/output" | |
| top: "inc2/inception_4b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 112 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4b/3x3_reduce" | |
| top: "inc2/inception_4b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4b/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4b/3x3_reduce" | |
| top: "inc2/inception_4b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 224 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4b/3x3" | |
| top: "inc2/inception_4b/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_4b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4a/output" | |
| top: "inc2/inception_4b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4b/5x5_reduce" | |
| top: "inc2/inception_4b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4b/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4b/5x5_reduce" | |
| top: "inc2/inception_4b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4b/5x5" | |
| top: "inc2/inception_4b/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_4b/pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4a/output" | |
| top: "inc2/inception_4b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4b/pool" | |
| top: "inc2/inception_4b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4b/pool_proj" | |
| top: "inc2/inception_4b/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_4b/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_4b/1x1" | |
| bottom: "inc2/inception_4b/3x3" | |
| bottom: "inc2/inception_4b/5x5" | |
| bottom: "inc2/inception_4b/pool_proj" | |
| top: "inc2/inception_4b/output" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4b/output" | |
| top: "inc2/inception_4c/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4c/1x1" | |
| top: "inc2/inception_4c/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4b/output" | |
| top: "inc2/inception_4c/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4c/3x3_reduce" | |
| top: "inc2/inception_4c/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4c/3x3_reduce" | |
| top: "inc2/inception_4c/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4c/3x3" | |
| top: "inc2/inception_4c/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4b/output" | |
| top: "inc2/inception_4c/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 24 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4c/5x5_reduce" | |
| top: "inc2/inception_4c/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4c/5x5_reduce" | |
| top: "inc2/inception_4c/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4c/5x5" | |
| top: "inc2/inception_4c/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4b/output" | |
| top: "inc2/inception_4c/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4c/pool" | |
| top: "inc2/inception_4c/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4c/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4c/pool_proj" | |
| top: "inc2/inception_4c/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_4c/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_4c/1x1" | |
| bottom: "inc2/inception_4c/3x3" | |
| bottom: "inc2/inception_4c/5x5" | |
| bottom: "inc2/inception_4c/pool_proj" | |
| top: "inc2/inception_4c/output" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4c/output" | |
| top: "inc2/inception_4d/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 112 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4d/1x1" | |
| top: "inc2/inception_4d/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4c/output" | |
| top: "inc2/inception_4d/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 144 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4d/3x3_reduce" | |
| top: "inc2/inception_4d/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4d/3x3_reduce" | |
| top: "inc2/inception_4d/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 288 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4d/3x3" | |
| top: "inc2/inception_4d/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4c/output" | |
| top: "inc2/inception_4d/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4d/5x5_reduce" | |
| top: "inc2/inception_4d/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4d/5x5_reduce" | |
| top: "inc2/inception_4d/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4d/5x5" | |
| top: "inc2/inception_4d/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4c/output" | |
| top: "inc2/inception_4d/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4d/pool" | |
| top: "inc2/inception_4d/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4d/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4d/pool_proj" | |
| top: "inc2/inception_4d/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_4d/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_4d/1x1" | |
| bottom: "inc2/inception_4d/3x3" | |
| bottom: "inc2/inception_4d/5x5" | |
| bottom: "inc2/inception_4d/pool_proj" | |
| top: "inc2/inception_4d/output" | |
| } | |
| layer { | |
| name: "inc2/loss2/ave_pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4d/output" | |
| top: "inc2/loss2/ave_pool" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 5 | |
| stride: 3 | |
| } | |
| } | |
| layer { | |
| name: "inc2/loss2/conv" | |
| type: "Convolution" | |
| bottom: "inc2/loss2/ave_pool" | |
| top: "inc2/loss2/conv" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/loss2/relu_conv" | |
| type: "ReLU" | |
| bottom: "inc2/loss2/conv" | |
| top: "inc2/loss2/conv" | |
| } | |
| layer { | |
| name: "inc2/loss2/fc" | |
| type: "InnerProduct" | |
| bottom: "inc2/loss2/conv" | |
| top: "inc2/loss2/fc" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 1024 | |
| weight_filler { | |
| type: "xavier" | |
| std: 0.01 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/loss2/relu_fc" | |
| type: "ReLU" | |
| bottom: "inc2/loss2/fc" | |
| top: "inc2/loss2/fc" | |
| } | |
| layer { | |
| name: "inc2/loss2/drop_fc" | |
| type: "Dropout" | |
| bottom: "inc2/loss2/fc" | |
| top: "inc2/loss2/fc" | |
| dropout_param { | |
| dropout_ratio: 0.7 | |
| } | |
| } | |
| layer { | |
| name: "loss2/concat" | |
| type: "Concat" | |
| bottom: "inc1/loss2/fc" | |
| bottom: "inc2/loss2/fc" | |
| top: "loss2/fc" | |
| } | |
| layer { | |
| name: "loss2/classifier" | |
| type: "InnerProduct" | |
| bottom: "loss2/fc" | |
| top: "loss2/classifier" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| inner_product_param { | |
| num_output: 200 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "loss2/loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "loss2/classifier" | |
| bottom: "label" | |
| top: "loss2/loss1" | |
| loss_weight: 0.3 | |
| } | |
| layer { | |
| name: "loss2/top-1" | |
| type: "Accuracy" | |
| bottom: "loss2/classifier" | |
| bottom: "label" | |
| top: "loss2/top-1" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4d/output" | |
| top: "inc1/inception_4e/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4e/1x1" | |
| top: "inc1/inception_4e/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4d/output" | |
| top: "inc1/inception_4e/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4e/3x3_reduce" | |
| top: "inc1/inception_4e/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4e/3x3_reduce" | |
| top: "inc1/inception_4e/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4e/3x3" | |
| top: "inc1/inception_4e/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4d/output" | |
| top: "inc1/inception_4e/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4e/5x5_reduce" | |
| top: "inc1/inception_4e/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4e/5x5_reduce" | |
| top: "inc1/inception_4e/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4e/5x5" | |
| top: "inc1/inception_4e/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4d/output" | |
| top: "inc1/inception_4e/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_4e/pool" | |
| top: "inc1/inception_4e/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_4e/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_4e/pool_proj" | |
| top: "inc1/inception_4e/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_4e/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_4e/1x1" | |
| bottom: "inc1/inception_4e/3x3" | |
| bottom: "inc1/inception_4e/5x5" | |
| bottom: "inc1/inception_4e/pool_proj" | |
| top: "inc1/inception_4e/output" | |
| } | |
| layer { | |
| name: "inc1/pool4/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc1/inception_4e/output" | |
| top: "inc1/pool4/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/pool4/3x3_s2" | |
| top: "inc1/inception_5a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5a/1x1" | |
| top: "inc1/inception_5a/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_5a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool4/3x3_s2" | |
| top: "inc1/inception_5a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5a/3x3_reduce" | |
| top: "inc1/inception_5a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_5a/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5a/3x3_reduce" | |
| top: "inc1/inception_5a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5a/3x3" | |
| top: "inc1/inception_5a/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_5a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/pool4/3x3_s2" | |
| top: "inc1/inception_5a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5a/5x5_reduce" | |
| top: "inc1/inception_5a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_5a/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5a/5x5_reduce" | |
| top: "inc1/inception_5a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5a/5x5" | |
| top: "inc1/inception_5a/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_5a/pool" | |
| type: "Pooling" | |
| bottom: "inc1/pool4/3x3_s2" | |
| top: "inc1/inception_5a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5a/pool" | |
| top: "inc1/inception_5a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5a/pool_proj" | |
| top: "inc1/inception_5a/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_5a/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_5a/1x1" | |
| bottom: "inc1/inception_5a/3x3" | |
| bottom: "inc1/inception_5a/5x5" | |
| bottom: "inc1/inception_5a/pool_proj" | |
| top: "inc1/inception_5a/output" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/1x1" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5a/output" | |
| top: "inc1/inception_5b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 384 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5b/1x1" | |
| top: "inc1/inception_5b/1x1" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5a/output" | |
| top: "inc1/inception_5b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5b/3x3_reduce" | |
| top: "inc1/inception_5b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/3x3" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5b/3x3_reduce" | |
| top: "inc1/inception_5b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 384 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5b/3x3" | |
| top: "inc1/inception_5b/3x3" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5a/output" | |
| top: "inc1/inception_5b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5b/5x5_reduce" | |
| top: "inc1/inception_5b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/5x5" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5b/5x5_reduce" | |
| top: "inc1/inception_5b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5b/5x5" | |
| top: "inc1/inception_5b/5x5" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/pool" | |
| type: "Pooling" | |
| bottom: "inc1/inception_5a/output" | |
| top: "inc1/inception_5b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc1/inception_5b/pool" | |
| top: "inc1/inception_5b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc1/inception_5b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc1/inception_5b/pool_proj" | |
| top: "inc1/inception_5b/pool_proj" | |
| } | |
| layer { | |
| name: "inc1/inception_5b/output" | |
| type: "Concat" | |
| bottom: "inc1/inception_5b/1x1" | |
| bottom: "inc1/inception_5b/3x3" | |
| bottom: "inc1/inception_5b/5x5" | |
| bottom: "inc1/inception_5b/pool_proj" | |
| top: "inc1/inception_5b/output" | |
| } | |
| layer { | |
| name: "inc1/pool5/7x7_s1" | |
| type: "Pooling" | |
| bottom: "inc1/inception_5b/output" | |
| top: "inc1/pool5/7x7_s1" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 7 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inc1/pool5/7x7_s1" | |
| top: "inc1/pool5/7x7_s1" | |
| name: "inc1/pool5/drop_7x7_s1" | |
| type: "Dropout" | |
| dropout_param { | |
| dropout_ratio: 0.4 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4d/output" | |
| top: "inc2/inception_4e/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4e/1x1" | |
| top: "inc2/inception_4e/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_4e/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4d/output" | |
| top: "inc2/inception_4e/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4e/3x3_reduce" | |
| top: "inc2/inception_4e/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4e/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4e/3x3_reduce" | |
| top: "inc2/inception_4e/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4e/3x3" | |
| top: "inc2/inception_4e/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_4e/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4d/output" | |
| top: "inc2/inception_4e/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4e/5x5_reduce" | |
| top: "inc2/inception_4e/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_4e/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4e/5x5_reduce" | |
| top: "inc2/inception_4e/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4e/5x5" | |
| top: "inc2/inception_4e/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_4e/pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4d/output" | |
| top: "inc2/inception_4e/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_4e/pool" | |
| top: "inc2/inception_4e/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_4e/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_4e/pool_proj" | |
| top: "inc2/inception_4e/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_4e/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_4e/1x1" | |
| bottom: "inc2/inception_4e/3x3" | |
| bottom: "inc2/inception_4e/5x5" | |
| bottom: "inc2/inception_4e/pool_proj" | |
| top: "inc2/inception_4e/output" | |
| } | |
| layer { | |
| name: "inc2/pool4/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inc2/inception_4e/output" | |
| top: "inc2/pool4/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/pool4/3x3_s2" | |
| top: "inc2/inception_5a/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5a/1x1" | |
| top: "inc2/inception_5a/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_5a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool4/3x3_s2" | |
| top: "inc2/inception_5a/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 160 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5a/3x3_reduce" | |
| top: "inc2/inception_5a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_5a/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5a/3x3_reduce" | |
| top: "inc2/inception_5a/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 320 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5a/3x3" | |
| top: "inc2/inception_5a/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_5a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/pool4/3x3_s2" | |
| top: "inc2/inception_5a/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5a/5x5_reduce" | |
| top: "inc2/inception_5a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_5a/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5a/5x5_reduce" | |
| top: "inc2/inception_5a/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5a/5x5" | |
| top: "inc2/inception_5a/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_5a/pool" | |
| type: "Pooling" | |
| bottom: "inc2/pool4/3x3_s2" | |
| top: "inc2/inception_5a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5a/pool" | |
| top: "inc2/inception_5a/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5a/pool_proj" | |
| top: "inc2/inception_5a/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_5a/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_5a/1x1" | |
| bottom: "inc2/inception_5a/3x3" | |
| bottom: "inc2/inception_5a/5x5" | |
| bottom: "inc2/inception_5a/pool_proj" | |
| top: "inc2/inception_5a/output" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/1x1" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5a/output" | |
| top: "inc2/inception_5b/1x1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 384 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5b/1x1" | |
| top: "inc2/inception_5b/1x1" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5a/output" | |
| top: "inc2/inception_5b/3x3_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5b/3x3_reduce" | |
| top: "inc2/inception_5b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/3x3" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5b/3x3_reduce" | |
| top: "inc2/inception_5b/3x3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 384 | |
| pad: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5b/3x3" | |
| top: "inc2/inception_5b/3x3" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5a/output" | |
| top: "inc2/inception_5b/5x5_reduce" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5b/5x5_reduce" | |
| top: "inc2/inception_5b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/5x5" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5b/5x5_reduce" | |
| top: "inc2/inception_5b/5x5" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 2 | |
| kernel_size: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5b/5x5" | |
| top: "inc2/inception_5b/5x5" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/pool" | |
| type: "Pooling" | |
| bottom: "inc2/inception_5a/output" | |
| top: "inc2/inception_5b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inc2/inception_5b/pool" | |
| top: "inc2/inception_5b/pool_proj" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inc2/inception_5b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inc2/inception_5b/pool_proj" | |
| top: "inc2/inception_5b/pool_proj" | |
| } | |
| layer { | |
| name: "inc2/inception_5b/output" | |
| type: "Concat" | |
| bottom: "inc2/inception_5b/1x1" | |
| bottom: "inc2/inception_5b/3x3" | |
| bottom: "inc2/inception_5b/5x5" | |
| bottom: "inc2/inception_5b/pool_proj" | |
| top: "inc2/inception_5b/output" | |
| } | |
| layer { | |
| name: "inc2/pool5/7x7_s1" | |
| type: "Pooling" | |
| bottom: "inc2/inception_5b/output" | |
| top: "inc2/pool5/7x7_s1" | |
| pooling_param { | |
| pool: AVE | |
| kernel_size: 7 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "inc2/pool5/7x7_s1" | |
| top: "inc2/pool5/7x7_s1" | |
| name: "inc2/pool5/drop_7x7_s1" | |
| type: "Dropout" | |
| dropout_param { | |
| dropout_ratio: 0.4 | |
| } | |
| } | |
| layer { | |
| name: "final/concat" | |
| type: "Concat" | |
| bottom: "inc1/pool5/7x7_s1" | |
| bottom: "inc2/pool5/7x7_s1" | |
| top: "final/concat/output" | |
| } | |
| layer { | |
| name: "final/res" | |
| type: "InnerProduct" | |
| bottom: "final/concat/output" | |
| top: "final/res" | |
| inner_product_param { | |
| num_output: 200 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| } | |
| } | |
| } | |
| layer { | |
| name: "loss" | |
| type: "SoftmaxWithLoss" | |
| bottom: "final/res" | |
| bottom: "label" | |
| top: "loss" | |
| } | |
| layer { | |
| name: "accuracy" | |
| type: "Accuracy" | |
| bottom: "final/res" | |
| bottom: "label" | |
| top: "accuracy/top1" | |
| } |
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