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| name: "GoogleNet" | |
| layer { | |
| name: "data_loading" | |
| type: "Python" | |
| top: "image_1" | |
| top: "image_2" | |
| top: "segmentation" | |
| top: "correspondence" | |
| top: "num_coord" | |
| python_param { | |
| module: "layers.image_seg_correspondence_data_layer" | |
| layer: "ImageSegCorrespondenceDataLayer" | |
| param_str: "phase: TRAIN\nbatch_size: 4" | |
| } | |
| } | |
| layer { | |
| bottom: "segmentation" | |
| name: "silence" | |
| type: "Silence" | |
| } | |
| layer { | |
| name: "conv1/7x7_s2" | |
| type: "Convolution" | |
| bottom: "image_1" | |
| top: "conv1/7x7_s2" | |
| param { | |
| name: "conv1/7x7_s2_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "conv1/7x7_s2_b" | |
| 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: "conv1/7x7_s2_p" | |
| type: "Convolution" | |
| bottom: "image_2" | |
| top: "conv1/7x7_s2_p" | |
| param { | |
| name: "conv1/7x7_s2_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "conv1/7x7_s2_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 3 | |
| kernel_size: 7 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv1/relu_7x7" | |
| type: "ReLU" | |
| bottom: "conv1/7x7_s2" | |
| top: "conv1/7x7_s2" | |
| } | |
| layer { | |
| name: "conv1/relu_7x7_p" | |
| type: "ReLU" | |
| bottom: "conv1/7x7_s2_p" | |
| top: "conv1/7x7_s2_p" | |
| } | |
| layer { | |
| name: "pool1/3x3_s2" | |
| type: "Pooling" | |
| bottom: "conv1/7x7_s2" | |
| top: "pool1/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool1/3x3_s2_p" | |
| type: "Pooling" | |
| bottom: "conv1/7x7_s2_p" | |
| top: "pool1/3x3_s2_p" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 2 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool1/norm1" | |
| type: "LRN" | |
| bottom: "pool1/3x3_s2" | |
| top: "pool1/norm1" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "pool1/norm1_p" | |
| type: "LRN" | |
| bottom: "pool1/3x3_s2_p" | |
| top: "pool1/norm1_p" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "conv2/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "pool1/norm1" | |
| top: "conv2/3x3_reduce" | |
| param { | |
| name: "conv2/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "conv2/3x3_reduce_b" | |
| 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: "conv2/3x3_reduce_p" | |
| type: "Convolution" | |
| bottom: "pool1/norm1_p" | |
| top: "conv2/3x3_reduce_p" | |
| param { | |
| name: "conv2/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "conv2/3x3_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "conv2/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "conv2/3x3_reduce" | |
| top: "conv2/3x3_reduce" | |
| } | |
| layer { | |
| name: "conv2/relu_3x3_reduce_p" | |
| type: "ReLU" | |
| bottom: "conv2/3x3_reduce_p" | |
| top: "conv2/3x3_reduce_p" | |
| } | |
| layer { | |
| name: "conv2/3x3" | |
| type: "Convolution" | |
| bottom: "conv2/3x3_reduce" | |
| top: "conv2/3x3" | |
| param { | |
| name: "conv2/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "conv2/3x3_b" | |
| 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: "conv2/3x3_p" | |
| type: "Convolution" | |
| bottom: "conv2/3x3_reduce_p" | |
| top: "conv2/3x3_p" | |
| param { | |
| name: "conv2/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "conv2/3x3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layer { | |
| name: "conv2/relu_3x3" | |
| type: "ReLU" | |
| bottom: "conv2/3x3" | |
| top: "conv2/3x3" | |
| } | |
| layer { | |
| name: "conv2/relu_3x3_p" | |
| type: "ReLU" | |
| bottom: "conv2/3x3_p" | |
| top: "conv2/3x3_p" | |
| } | |
| layer { | |
| name: "conv2/norm2" | |
| type: "LRN" | |
| bottom: "conv2/3x3" | |
| top: "conv2/norm2" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "conv2/norm2_p" | |
| type: "LRN" | |
| bottom: "conv2/3x3_p" | |
| top: "conv2/norm2_p" | |
| lrn_param { | |
| local_size: 5 | |
| alpha: 0.0001 | |
| beta: 0.75 | |
| } | |
| } | |
| layer { | |
| name: "pool2/3x3_s2" | |
| type: "Pooling" | |
| bottom: "conv2/norm2" | |
| top: "pool2/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool2/3x3_s2_p" | |
| type: "Pooling" | |
| bottom: "conv2/norm2_p" | |
| top: "pool2/3x3_s2_p" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/1x1" | |
| type: "Convolution" | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/1x1" | |
| param { | |
| name: "inception_3a/1x1_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/1x1_b" | |
| 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: "inception_3a/1x1_p" | |
| type: "Convolution" | |
| bottom: "pool2/3x3_s2_p" | |
| top: "inception_3a/1x1_p" | |
| param { | |
| name: "inception_3a/1x1_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/1x1_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inception_3a/1x1" | |
| top: "inception_3a/1x1" | |
| } | |
| layer { | |
| name: "inception_3a/relu_1x1_p" | |
| type: "ReLU" | |
| bottom: "inception_3a/1x1_p" | |
| top: "inception_3a/1x1_p" | |
| } | |
| layer { | |
| name: "inception_3a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/3x3_reduce" | |
| param { | |
| name: "inception_3a/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/3x3_reduce_b" | |
| 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: "inception_3a/3x3_reduce_p" | |
| type: "Convolution" | |
| bottom: "pool2/3x3_s2_p" | |
| top: "inception_3a/3x3_reduce_p" | |
| param { | |
| name: "inception_3a/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/3x3_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inception_3a/3x3_reduce" | |
| top: "inception_3a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inception_3a/relu_3x3_reduce_p" | |
| type: "ReLU" | |
| bottom: "inception_3a/3x3_reduce_p" | |
| top: "inception_3a/3x3_reduce_p" | |
| } | |
| layer { | |
| name: "inception_3a/3x3" | |
| type: "Convolution" | |
| bottom: "inception_3a/3x3_reduce" | |
| top: "inception_3a/3x3" | |
| param { | |
| name: "inception_3a/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/3x3_b" | |
| 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: "inception_3a/3x3_p" | |
| type: "Convolution" | |
| bottom: "inception_3a/3x3_reduce_p" | |
| top: "inception_3a/3x3_p" | |
| param { | |
| name: "inception_3a/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/3x3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inception_3a/3x3" | |
| top: "inception_3a/3x3" | |
| } | |
| layer { | |
| name: "inception_3a/relu_3x3_p" | |
| type: "ReLU" | |
| bottom: "inception_3a/3x3_p" | |
| top: "inception_3a/3x3_p" | |
| } | |
| layer { | |
| name: "inception_3a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/5x5_reduce" | |
| param { | |
| name: "inception_3a/5x5_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/5x5_reduce_b" | |
| 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: "inception_3a/5x5_reduce_p" | |
| type: "Convolution" | |
| bottom: "pool2/3x3_s2_p" | |
| top: "inception_3a/5x5_reduce_p" | |
| param { | |
| name: "inception_3a/5x5_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/5x5_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inception_3a/5x5_reduce" | |
| top: "inception_3a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inception_3a/relu_5x5_reduce_p" | |
| type: "ReLU" | |
| bottom: "inception_3a/5x5_reduce_p" | |
| top: "inception_3a/5x5_reduce_p" | |
| } | |
| layer { | |
| name: "inception_3a/5x5" | |
| type: "Convolution" | |
| bottom: "inception_3a/5x5_reduce" | |
| top: "inception_3a/5x5" | |
| param { | |
| name: "inception_3a/5x5_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/5x5_b" | |
| 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: "inception_3a/5x5_p" | |
| type: "Convolution" | |
| bottom: "inception_3a/5x5_reduce_p" | |
| top: "inception_3a/5x5_p" | |
| param { | |
| name: "inception_3a/5x5_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/5x5_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| pad: 2 | |
| kernel_size: 5 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inception_3a/5x5" | |
| top: "inception_3a/5x5" | |
| } | |
| layer { | |
| name: "inception_3a/relu_5x5_p" | |
| type: "ReLU" | |
| bottom: "inception_3a/5x5_p" | |
| top: "inception_3a/5x5_p" | |
| } | |
| layer { | |
| name: "inception_3a/pool" | |
| type: "Pooling" | |
| bottom: "pool2/3x3_s2" | |
| top: "inception_3a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/pool_p" | |
| type: "Pooling" | |
| bottom: "pool2/3x3_s2_p" | |
| top: "inception_3a/pool_p" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inception_3a/pool" | |
| top: "inception_3a/pool_proj" | |
| param { | |
| name: "inception_3a/pool_proj_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/pool_proj_b" | |
| 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: "inception_3a/pool_proj_p" | |
| type: "Convolution" | |
| bottom: "inception_3a/pool_p" | |
| top: "inception_3a/pool_proj_p" | |
| param { | |
| name: "inception_3a/pool_proj_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3a/pool_proj_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inception_3a/pool_proj" | |
| top: "inception_3a/pool_proj" | |
| } | |
| layer { | |
| name: "inception_3a/relu_pool_proj_p" | |
| type: "ReLU" | |
| bottom: "inception_3a/pool_proj_p" | |
| top: "inception_3a/pool_proj_p" | |
| } | |
| layer { | |
| name: "inception_3a/output" | |
| type: "Concat" | |
| bottom: "inception_3a/1x1" | |
| bottom: "inception_3a/3x3" | |
| bottom: "inception_3a/5x5" | |
| bottom: "inception_3a/pool_proj" | |
| top: "inception_3a/output" | |
| } | |
| layer { | |
| name: "inception_3a/output_p" | |
| type: "Concat" | |
| bottom: "inception_3a/1x1_p" | |
| bottom: "inception_3a/3x3_p" | |
| bottom: "inception_3a/5x5_p" | |
| bottom: "inception_3a/pool_proj_p" | |
| top: "inception_3a/output_p" | |
| } | |
| layer { | |
| name: "inception_3b/1x1" | |
| type: "Convolution" | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/1x1" | |
| param { | |
| name: "inception_3b/1x1_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/1x1_b" | |
| 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: "inception_3b/1x1_p" | |
| type: "Convolution" | |
| bottom: "inception_3a/output_p" | |
| top: "inception_3b/1x1_p" | |
| param { | |
| name: "inception_3b/1x1_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/1x1_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inception_3b/1x1" | |
| top: "inception_3b/1x1" | |
| } | |
| layer { | |
| name: "inception_3b/relu_1x1_p" | |
| type: "ReLU" | |
| bottom: "inception_3b/1x1_p" | |
| top: "inception_3b/1x1_p" | |
| } | |
| layer { | |
| name: "inception_3b/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/3x3_reduce" | |
| param { | |
| name: "inception_3b/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/3x3_reduce_b" | |
| 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: "inception_3b/3x3_reduce_p" | |
| type: "Convolution" | |
| bottom: "inception_3a/output_p" | |
| top: "inception_3b/3x3_reduce_p" | |
| param { | |
| name: "inception_3b/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/3x3_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inception_3b/3x3_reduce" | |
| top: "inception_3b/3x3_reduce" | |
| } | |
| layer { | |
| name: "inception_3b/relu_3x3_reduce_p" | |
| type: "ReLU" | |
| bottom: "inception_3b/3x3_reduce_p" | |
| top: "inception_3b/3x3_reduce_p" | |
| } | |
| layer { | |
| name: "inception_3b/3x3" | |
| type: "Convolution" | |
| bottom: "inception_3b/3x3_reduce" | |
| top: "inception_3b/3x3" | |
| param { | |
| name: "inception_3b/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/3x3_b" | |
| 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: "inception_3b/3x3_p" | |
| type: "Convolution" | |
| bottom: "inception_3b/3x3_reduce_p" | |
| top: "inception_3b/3x3_p" | |
| param { | |
| name: "inception_3b/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/3x3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| pad: 1 | |
| kernel_size: 3 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inception_3b/3x3" | |
| top: "inception_3b/3x3" | |
| } | |
| layer { | |
| name: "inception_3b/relu_3x3_p" | |
| type: "ReLU" | |
| bottom: "inception_3b/3x3_p" | |
| top: "inception_3b/3x3_p" | |
| } | |
| layer { | |
| name: "inception_3b/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/5x5_reduce" | |
| param { | |
| name: "inception_3b/5x5_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/5x5_reduce_b" | |
| 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: "inception_3b/5x5_reduce_p" | |
| type: "Convolution" | |
| bottom: "inception_3a/output_p" | |
| top: "inception_3b/5x5_reduce_p" | |
| param { | |
| name: "inception_3b/5x5_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/5x5_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 32 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inception_3b/5x5_reduce" | |
| top: "inception_3b/5x5_reduce" | |
| } | |
| layer { | |
| name: "inception_3b/relu_5x5_reduce_p" | |
| type: "ReLU" | |
| bottom: "inception_3b/5x5_reduce_p" | |
| top: "inception_3b/5x5_reduce_p" | |
| } | |
| layer { | |
| name: "inception_3b/5x5" | |
| type: "Convolution" | |
| bottom: "inception_3b/5x5_reduce" | |
| top: "inception_3b/5x5" | |
| param { | |
| name: "inception_3b/5x5_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/5x5_b" | |
| 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: "inception_3b/5x5_p" | |
| type: "Convolution" | |
| bottom: "inception_3b/5x5_reduce_p" | |
| top: "inception_3b/5x5_p" | |
| param { | |
| name: "inception_3b/5x5_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/5x5_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| pad: 2 | |
| kernel_size: 5 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inception_3b/5x5" | |
| top: "inception_3b/5x5" | |
| } | |
| layer { | |
| name: "inception_3b/relu_5x5_p" | |
| type: "ReLU" | |
| bottom: "inception_3b/5x5_p" | |
| top: "inception_3b/5x5_p" | |
| } | |
| layer { | |
| name: "inception_3b/pool" | |
| type: "Pooling" | |
| bottom: "inception_3a/output" | |
| top: "inception_3b/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/pool_p" | |
| type: "Pooling" | |
| bottom: "inception_3a/output_p" | |
| top: "inception_3b/pool_p" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/pool_proj" | |
| type: "Convolution" | |
| bottom: "inception_3b/pool" | |
| top: "inception_3b/pool_proj" | |
| param { | |
| name: "inception_3b/pool_proj_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/pool_proj_b" | |
| 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: "inception_3b/pool_proj_p" | |
| type: "Convolution" | |
| bottom: "inception_3b/pool_p" | |
| top: "inception_3b/pool_proj_p" | |
| param { | |
| name: "inception_3b/pool_proj_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_3b/pool_proj_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_3b/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inception_3b/pool_proj" | |
| top: "inception_3b/pool_proj" | |
| } | |
| layer { | |
| name: "inception_3b/relu_pool_proj_p" | |
| type: "ReLU" | |
| bottom: "inception_3b/pool_proj_p" | |
| top: "inception_3b/pool_proj_p" | |
| } | |
| layer { | |
| name: "inception_3b/output" | |
| type: "Concat" | |
| bottom: "inception_3b/1x1" | |
| bottom: "inception_3b/3x3" | |
| bottom: "inception_3b/5x5" | |
| bottom: "inception_3b/pool_proj" | |
| top: "inception_3b/output" | |
| } | |
| layer { | |
| name: "inception_3b/output_p" | |
| type: "Concat" | |
| bottom: "inception_3b/1x1_p" | |
| bottom: "inception_3b/3x3_p" | |
| bottom: "inception_3b/5x5_p" | |
| bottom: "inception_3b/pool_proj_p" | |
| top: "inception_3b/output_p" | |
| } | |
| layer { | |
| name: "pool3/3x3_s2" | |
| type: "Pooling" | |
| bottom: "inception_3b/output" | |
| top: "pool3/3x3_s2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool3/3x3_s2_p" | |
| type: "Pooling" | |
| bottom: "inception_3b/output_p" | |
| top: "pool3/3x3_s2_p" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/1x1" | |
| type: "Convolution" | |
| bottom: "pool3/3x3_s2" | |
| top: "inception_4a/1x1" | |
| param { | |
| name: "inception_4a/1x1_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/1x1_b" | |
| 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: "inception_4a/1x1_p" | |
| type: "Convolution" | |
| bottom: "pool3/3x3_s2_p" | |
| top: "inception_4a/1x1_p" | |
| param { | |
| name: "inception_4a/1x1_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/1x1_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 192 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_1x1" | |
| type: "ReLU" | |
| bottom: "inception_4a/1x1" | |
| top: "inception_4a/1x1" | |
| } | |
| layer { | |
| name: "inception_4a/relu_1x1_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/1x1_p" | |
| top: "inception_4a/1x1_p" | |
| } | |
| layer { | |
| name: "inception_4a/3x3_reduce" | |
| type: "Convolution" | |
| bottom: "pool3/3x3_s2" | |
| top: "inception_4a/3x3_reduce" | |
| param { | |
| name: "inception_4a/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_b" | |
| 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: "inception_4a/3x3_reduce_p" | |
| type: "Convolution" | |
| bottom: "pool3/3x3_s2_p" | |
| top: "inception_4a/3x3_reduce_p" | |
| param { | |
| name: "inception_4a/3x3_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 96 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_reduce" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_reduce" | |
| top: "inception_4a/3x3_reduce" | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_reduce_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_reduce_p" | |
| top: "inception_4a/3x3_reduce_p" | |
| } | |
| # layer { | |
| # name: "inception_4a/3x3" | |
| # type: "Convolution" | |
| # bottom: "inception_4a/3x3_reduce" | |
| # top: "inception_4a/3x3" | |
| # param { | |
| # name: "inception_4a/3x3_w" | |
| # lr_mult: 1 | |
| # decay_mult: 1 | |
| # } | |
| # param { | |
| # name: "inception_4a/3x3_b" | |
| # 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: "inception_4a/3x3_p" | |
| # type: "Convolution" | |
| # bottom: "inception_4a/3x3_reduce_p" | |
| # top: "inception_4a/3x3_p" | |
| # param { | |
| # name: "inception_4a/3x3_w" | |
| # lr_mult: 1 | |
| # decay_mult: 1 | |
| # } | |
| # param { | |
| # name: "inception_4a/3x3_b" | |
| # lr_mult: 2 | |
| # decay_mult: 0 | |
| # } | |
| # convolution_param { | |
| # num_output: 208 | |
| # pad: 1 | |
| # kernel_size: 3 | |
| # } | |
| # } | |
| # layer { | |
| # name: "inception_4a/relu_3x3" | |
| # type: "ReLU" | |
| # bottom: "inception_4a/3x3" | |
| # top: "inception_4a/3x3" | |
| # } | |
| # layer { | |
| # name: "inception_4a/relu_3x3_p" | |
| # type: "ReLU" | |
| # bottom: "inception_4a/3x3_p" | |
| # top: "inception_4a/3x3_p" | |
| # } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce" | |
| top: "inception_4a/3x3_reduce_param" | |
| name: "inception_4a/3x3_reduce_param" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce_p" | |
| top: "inception_4a/3x3_reduce_param_p" | |
| name: "inception_4a/3x3_reduce_param_p" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_reduce_param" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_reduce_param" | |
| top: "inception_4a/3x3_reduce_param" | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_reduce_param_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_reduce_param_p" | |
| top: "inception_4a/3x3_reduce_param_p" | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce_param" | |
| top: "inception_4a/3x3_reduce_param2" | |
| name: "inception_4a/3x3_reduce_param2" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param2_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param2_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce_param_p" | |
| top: "inception_4a/3x3_reduce_param2_p" | |
| name: "inception_4a/3x3_reduce_param2_p" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param2_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param2_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_reduce_param2" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_reduce_param2" | |
| top: "inception_4a/3x3_reduce_param2" | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_reduce_param2_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_reduce_param2_p" | |
| top: "inception_4a/3x3_reduce_param2_p" | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce_param2" | |
| top: "inception_4a/3x3_reduce_param3" | |
| name: "inception_4a/3x3_reduce_param3" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 4 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/3x3_reduce_param2_p" | |
| top: "inception_4a/3x3_reduce_param3_p" | |
| name: "inception_4a/3x3_reduce_param3_p" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_reduce_transform_param3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 4 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "spatial_transformation" | |
| type: "ConvolutionalSpatialTransformer" | |
| bottom: "inception_4a/3x3_reduce" | |
| bottom: "inception_4a/3x3_reduce_param3" | |
| top: "transformed_inception_4a/3x3_reduce" | |
| convolutional_spatial_transformer_param { | |
| type: AFFINE | |
| kernel_size: 3 | |
| } | |
| } | |
| layer { | |
| name: "spatial_transformation_p" | |
| type: "ConvolutionalSpatialTransformer" | |
| bottom: "inception_4a/3x3_reduce_p" | |
| bottom: "inception_4a/3x3_reduce_param3_p" | |
| top: "transformed_inception_4a/3x3_reduce_p" | |
| convolutional_spatial_transformer_param { | |
| type: AFFINE | |
| kernel_size: 3 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/3x3" | |
| type: "Convolution" | |
| bottom: "transformed_inception_4a/3x3_reduce" | |
| top: "inception_4a/3x3" | |
| param { | |
| name: "inception_4a/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 208 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/3x3_p" | |
| type: "Convolution" | |
| bottom: "transformed_inception_4a/3x3_reduce_p" | |
| top: "inception_4a/3x3_p" | |
| param { | |
| name: "inception_4a/3x3_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/3x3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 208 | |
| pad: 0 | |
| kernel_size: 3 | |
| stride: 3 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3" | |
| top: "inception_4a/3x3" | |
| } | |
| layer { | |
| name: "inception_4a/relu_3x3_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/3x3_p" | |
| top: "inception_4a/3x3_p" | |
| } | |
| layer { | |
| name: "inception_4a/5x5_reduce" | |
| type: "Convolution" | |
| bottom: "pool3/3x3_s2" | |
| top: "inception_4a/5x5_reduce" | |
| param { | |
| name: "inception_4a/5x5_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_b" | |
| 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: "inception_4a/5x5_reduce_p" | |
| type: "Convolution" | |
| bottom: "pool3/3x3_s2_p" | |
| top: "inception_4a/5x5_reduce_p" | |
| param { | |
| name: "inception_4a/5x5_reduce_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 16 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_reduce" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_reduce" | |
| top: "inception_4a/5x5_reduce" | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_reduce_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_reduce_p" | |
| top: "inception_4a/5x5_reduce_p" | |
| } | |
| # layer { | |
| # name: "inception_4a/5x5" | |
| # type: "Convolution" | |
| # bottom: "inception_4a/5x5_reduce" | |
| # top: "inception_4a/5x5" | |
| # param { | |
| # name: "inception_4a/5x5_w" | |
| # lr_mult: 1 | |
| # decay_mult: 1 | |
| # } | |
| # param { | |
| # name: "inception_4a/5x5_b" | |
| # 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: "inception_4a/5x5_p" | |
| # type: "Convolution" | |
| # bottom: "inception_4a/5x5_reduce_p" | |
| # top: "inception_4a/5x5_p" | |
| # param { | |
| # name: "inception_4a/5x5_w" | |
| # lr_mult: 1 | |
| # decay_mult: 1 | |
| # } | |
| # param { | |
| # name: "inception_4a/5x5_b" | |
| # lr_mult: 2 | |
| # decay_mult: 0 | |
| # } | |
| # convolution_param { | |
| # num_output: 48 | |
| # pad: 2 | |
| # kernel_size: 5 | |
| # } | |
| # } | |
| # layer { | |
| # name: "inception_4a/relu_5x5" | |
| # type: "ReLU" | |
| # bottom: "inception_4a/5x5" | |
| # top: "inception_4a/5x5" | |
| # } | |
| # layer { | |
| # name: "inception_4a/relu_5x5_p" | |
| # type: "ReLU" | |
| # bottom: "inception_4a/5x5_p" | |
| # top: "inception_4a/5x5_p" | |
| # } | |
| layer { | |
| bottom: "inception_4a/5x5_reduce" | |
| top: "inception_4a/5x5_reduce_param" | |
| name: "inception_4a/5x5_reduce_param" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/5x5_reduce_p" | |
| top: "inception_4a/5x5_reduce_param_p" | |
| name: "inception_4a/5x5_reduce_param_p" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_reduce_param" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_reduce_param" | |
| top: "inception_4a/5x5_reduce_param" | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_reduce_param_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_reduce_param_p" | |
| top: "inception_4a/5x5_reduce_param_p" | |
| } | |
| layer { | |
| bottom: "inception_4a/5x5_reduce_param" | |
| top: "inception_4a/5x5_reduce_param2" | |
| name: "inception_4a/5x5_reduce_param2" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param2_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param2_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/5x5_reduce_param_p" | |
| top: "inception_4a/5x5_reduce_param2_p" | |
| name: "inception_4a/5x5_reduce_param2_p" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param2_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param2_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 32 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_reduce_param2" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_reduce_param2" | |
| top: "inception_4a/5x5_reduce_param2" | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_reduce_param2_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_reduce_param2_p" | |
| top: "inception_4a/5x5_reduce_param2_p" | |
| } | |
| layer { | |
| bottom: "inception_4a/5x5_reduce_param2" | |
| top: "inception_4a/5x5_reduce_param3" | |
| name: "inception_4a/5x5_reduce_param3" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 4 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "gaussian" | |
| std: 0.001 | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| bottom: "inception_4a/5x5_reduce_param2_p" | |
| top: "inception_4a/5x5_reduce_param3_p" | |
| name: "inception_4a/5x5_reduce_param3_p" | |
| type: "Convolution" | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param3_w" | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_reduce_transform_param3_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| pad: 0 | |
| num_output: 4 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "spatial_transformation_5x5" | |
| type: "ConvolutionalSpatialTransformer" | |
| bottom: "inception_4a/5x5_reduce" | |
| bottom: "inception_4a/5x5_reduce_param3" | |
| top: "transformed_inception_4a/5x5_reduce" | |
| convolutional_spatial_transformer_param { | |
| type: AFFINE | |
| kernel_size: 5 | |
| } | |
| } | |
| layer { | |
| name: "spatial_transformation_5x5_p" | |
| type: "ConvolutionalSpatialTransformer" | |
| bottom: "inception_4a/5x5_reduce_p" | |
| bottom: "inception_4a/5x5_reduce_param3_p" | |
| top: "transformed_inception_4a/5x5_reduce_p" | |
| convolutional_spatial_transformer_param { | |
| type: AFFINE | |
| kernel_size: 5 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/5x5" | |
| type: "Convolution" | |
| bottom: "transformed_inception_4a/5x5_reduce" | |
| top: "inception_4a/5x5" | |
| param { | |
| name: "inception_4a/5x5_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| pad: 0 | |
| kernel_size: 5 | |
| stride: 5 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0.2 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/5x5_p" | |
| type: "Convolution" | |
| bottom: "transformed_inception_4a/5x5_reduce_p" | |
| top: "inception_4a/5x5_p" | |
| param { | |
| name: "inception_4a/5x5_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/5x5_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 48 | |
| pad: 0 | |
| kernel_size: 5 | |
| stride: 5 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5" | |
| top: "inception_4a/5x5" | |
| } | |
| layer { | |
| name: "inception_4a/relu_5x5_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/5x5_p" | |
| top: "inception_4a/5x5_p" | |
| } | |
| layer { | |
| name: "inception_4a/pool" | |
| type: "Pooling" | |
| bottom: "pool3/3x3_s2" | |
| top: "inception_4a/pool" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/pool_p" | |
| type: "Pooling" | |
| bottom: "pool3/3x3_s2_p" | |
| top: "inception_4a/pool_p" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/pool_proj" | |
| type: "Convolution" | |
| bottom: "inception_4a/pool" | |
| top: "inception_4a/pool_proj" | |
| param { | |
| name: "inception_4a/pool_proj_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/pool_proj_b" | |
| 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: "inception_4a/pool_proj_p" | |
| type: "Convolution" | |
| bottom: "inception_4a/pool_p" | |
| top: "inception_4a/pool_proj_p" | |
| param { | |
| name: "inception_4a/pool_proj_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "inception_4a/pool_proj_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "inception_4a/relu_pool_proj" | |
| type: "ReLU" | |
| bottom: "inception_4a/pool_proj" | |
| top: "inception_4a/pool_proj" | |
| } | |
| layer { | |
| name: "inception_4a/relu_pool_proj_p" | |
| type: "ReLU" | |
| bottom: "inception_4a/pool_proj_p" | |
| top: "inception_4a/pool_proj_p" | |
| } | |
| layer { | |
| name: "inception_4a/output" | |
| type: "Concat" | |
| bottom: "inception_4a/1x1" | |
| bottom: "inception_4a/3x3" | |
| bottom: "inception_4a/5x5" | |
| bottom: "inception_4a/pool_proj" | |
| top: "inception_4a/output" | |
| } | |
| layer { | |
| name: "inception_4a/output_p" | |
| type: "Concat" | |
| bottom: "inception_4a/1x1_p" | |
| bottom: "inception_4a/3x3_p" | |
| bottom: "inception_4a/5x5_p" | |
| bottom: "inception_4a/pool_proj_p" | |
| top: "inception_4a/output_p" | |
| } | |
| layer { | |
| bottom: "inception_4a/output" | |
| top: "feature1_unnorm" | |
| name: "feature1_unnorm" | |
| type: "Convolution" | |
| param { | |
| name: "feature_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "feature_b" | |
| 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 { | |
| bottom: "inception_4a/output_p" | |
| top: "feature2_unnorm" | |
| name: "feature2_unnorm" | |
| type: "Convolution" | |
| param { | |
| name: "feature_w" | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| name: "feature_b" | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| kernel_size: 1 | |
| } | |
| } | |
| layer { | |
| bottom: "feature1_unnorm" | |
| top: "feature1" | |
| name: "feature1" | |
| type: "Python" | |
| python_param { | |
| module: "layers.l2norm_layer" | |
| layer: "L2NormLayer" | |
| } | |
| } | |
| layer { | |
| bottom: "feature2_unnorm" | |
| top: "feature2" | |
| name: "feature2" | |
| type: "Python" | |
| python_param { | |
| module: "layers.l2norm_layer" | |
| layer: "L2NormLayer" | |
| } | |
| } | |
| layer { | |
| name: "feature1_extraction" | |
| type: "ExtractFeature" | |
| bottom: "feature1" | |
| bottom: "correspondence" | |
| top: "feature1_extraction" | |
| extract_feature_param { | |
| num_coord_elements: 5 | |
| coord_start_ind: 0 | |
| downsampling_factor: 4.0 | |
| } | |
| } | |
| layer { | |
| name: "knn" | |
| type: "KNN" | |
| bottom: "feature1_extraction" | |
| bottom: "feature2" | |
| bottom: "num_coord" | |
| top: "dist" | |
| top: "ind" | |
| knn_param { | |
| k: 1 | |
| use_all_query: false | |
| use_all_ref: true | |
| } | |
| } | |
| layer { | |
| bottom: "dist" | |
| name: "dist_silence" | |
| type: "Silence" | |
| } | |
| layer { | |
| name: "negative_processing" | |
| type: "Python" | |
| bottom: "correspondence" | |
| bottom: "ind" | |
| bottom: "feature2" | |
| bottom: "num_coord" | |
| top: "hard-negative-correspondence" | |
| top: "PCK" | |
| python_param { | |
| module: "layers.hard_negative_processing_layer" | |
| layer: "HardNegativeProcessingLayer" | |
| param_str: "down_sampling_factor: 4" | |
| } | |
| } | |
| layer { | |
| name: "pair" | |
| type: "CorrespondenceContrastiveLoss" | |
| bottom: "feature1" | |
| bottom: "feature2" | |
| bottom: "hard-negative-correspondence" | |
| top: "pair_loss" | |
| correspondence_loss_param { | |
| margin: 1 | |
| downsampling_factor: 4 | |
| bilinear_interpolation: true | |
| } | |
| loss_weight: 1 | |
| } |
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