Created
January 14, 2017 02:35
-
-
Save dongzhuoyao/ffb9992bed8ee44651db1c4031b85256 to your computer and use it in GitHub Desktop.
parsenet_vgg_voc12
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| name: "VGG_VOC2012ext" | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| include { | |
| phase: TRAIN | |
| } | |
| transform_param { | |
| mean_value: 104.00699 | |
| mean_value: 116.66877 | |
| mean_value: 122.67892 | |
| } | |
| data_param { | |
| source: "examples/VOC2012ext/VOC2012ext_train_aug_img_lmdb" | |
| batch_size: 1 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "label" | |
| type: "Data" | |
| top: "label" | |
| include { | |
| phase: TRAIN | |
| } | |
| data_param { | |
| source: "examples/VOC2012ext/VOC2012ext_train_aug_label_lmdb" | |
| batch_size: 1 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "data" | |
| type: "Data" | |
| top: "data" | |
| include { | |
| phase: TEST | |
| } | |
| transform_param { | |
| mean_value: 104.00699 | |
| mean_value: 116.66877 | |
| mean_value: 122.67892 | |
| } | |
| data_param { | |
| source: "examples/VOC2012ext/VOC2012ext_val_img_lmdb" | |
| batch_size: 1 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "label" | |
| type: "Data" | |
| top: "label" | |
| include { | |
| phase: TEST | |
| } | |
| data_param { | |
| source: "examples/VOC2012ext/VOC2012ext_val_label_lmdb" | |
| batch_size: 1 | |
| backend: LMDB | |
| } | |
| } | |
| layer { | |
| name: "conv1_1" | |
| type: "Convolution" | |
| bottom: "data" | |
| top: "conv1_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu1_1" | |
| type: "ReLU" | |
| bottom: "conv1_1" | |
| top: "conv1_1" | |
| } | |
| layer { | |
| name: "conv1_2" | |
| type: "Convolution" | |
| bottom: "conv1_1" | |
| top: "conv1_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 64 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu1_2" | |
| type: "ReLU" | |
| bottom: "conv1_2" | |
| top: "conv1_2" | |
| } | |
| layer { | |
| name: "pool1" | |
| type: "Pooling" | |
| bottom: "conv1_2" | |
| top: "pool1" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv2_1" | |
| type: "Convolution" | |
| bottom: "pool1" | |
| top: "conv2_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu2_1" | |
| type: "ReLU" | |
| bottom: "conv2_1" | |
| top: "conv2_1" | |
| } | |
| layer { | |
| name: "conv2_2" | |
| type: "Convolution" | |
| bottom: "conv2_1" | |
| top: "conv2_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 128 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu2_2" | |
| type: "ReLU" | |
| bottom: "conv2_2" | |
| top: "conv2_2" | |
| } | |
| layer { | |
| name: "pool2" | |
| type: "Pooling" | |
| bottom: "conv2_2" | |
| top: "pool2" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv3_1" | |
| type: "Convolution" | |
| bottom: "pool2" | |
| top: "conv3_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu3_1" | |
| type: "ReLU" | |
| bottom: "conv3_1" | |
| top: "conv3_1" | |
| } | |
| layer { | |
| name: "conv3_2" | |
| type: "Convolution" | |
| bottom: "conv3_1" | |
| top: "conv3_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu3_2" | |
| type: "ReLU" | |
| bottom: "conv3_2" | |
| top: "conv3_2" | |
| } | |
| layer { | |
| name: "conv3_3" | |
| type: "Convolution" | |
| bottom: "conv3_2" | |
| top: "conv3_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu3_3" | |
| type: "ReLU" | |
| bottom: "conv3_3" | |
| top: "conv3_3" | |
| } | |
| layer { | |
| name: "pool3" | |
| type: "Pooling" | |
| bottom: "conv3_3" | |
| top: "pool3" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 2 | |
| stride: 2 | |
| } | |
| } | |
| layer { | |
| name: "conv4_1" | |
| type: "Convolution" | |
| bottom: "pool3" | |
| top: "conv4_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu4_1" | |
| type: "ReLU" | |
| bottom: "conv4_1" | |
| top: "conv4_1" | |
| } | |
| layer { | |
| name: "conv4_2" | |
| type: "Convolution" | |
| bottom: "conv4_1" | |
| top: "conv4_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu4_2" | |
| type: "ReLU" | |
| bottom: "conv4_2" | |
| top: "conv4_2" | |
| } | |
| layer { | |
| name: "conv4_3" | |
| type: "Convolution" | |
| bottom: "conv4_2" | |
| top: "conv4_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 1 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu4_3" | |
| type: "ReLU" | |
| bottom: "conv4_3" | |
| top: "conv4_3" | |
| } | |
| layer { | |
| name: "pool4" | |
| type: "Pooling" | |
| bottom: "conv4_3" | |
| top: "pool4" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "conv5_1" | |
| type: "Convolution" | |
| bottom: "pool4" | |
| top: "conv5_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 2 | |
| filter_stride: 2 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu5_1" | |
| type: "ReLU" | |
| bottom: "conv5_1" | |
| top: "conv5_1" | |
| } | |
| layer { | |
| name: "conv5_2" | |
| type: "Convolution" | |
| bottom: "conv5_1" | |
| top: "conv5_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 2 | |
| filter_stride: 2 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu5_2" | |
| type: "ReLU" | |
| bottom: "conv5_2" | |
| top: "conv5_2" | |
| } | |
| layer { | |
| name: "conv5_3" | |
| type: "Convolution" | |
| bottom: "conv5_2" | |
| top: "conv5_3" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 512 | |
| pad: 2 | |
| filter_stride: 2 | |
| kernel_size: 3 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu5_3" | |
| type: "ReLU" | |
| bottom: "conv5_3" | |
| top: "conv5_3" | |
| } | |
| layer { | |
| name: "pool5" | |
| type: "Pooling" | |
| bottom: "conv5_3" | |
| top: "pool5" | |
| pooling_param { | |
| pool: MAX | |
| kernel_size: 3 | |
| stride: 1 | |
| pad: 1 | |
| } | |
| } | |
| layer { | |
| name: "fc6" | |
| type: "Convolution" | |
| bottom: "pool5" | |
| top: "fc6" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 3 | |
| filter_stride: 12 | |
| pad: 12 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu6" | |
| type: "ReLU" | |
| bottom: "fc6" | |
| top: "fc6" | |
| } | |
| layer { | |
| name: "drop6" | |
| type: "Dropout" | |
| bottom: "fc6" | |
| top: "fc6" | |
| dropout_param { | |
| dropout_ratio: 0.5 | |
| } | |
| } | |
| layer { | |
| name: "fc7" | |
| type: "Convolution" | |
| bottom: "fc6" | |
| top: "fc7" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 1024 | |
| kernel_size: 1 | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "relu7" | |
| type: "ReLU" | |
| bottom: "fc7" | |
| top: "fc7" | |
| } | |
| layer { | |
| name: "drop7" | |
| type: "Dropout" | |
| bottom: "fc7" | |
| top: "fc7" | |
| dropout_param { | |
| dropout_ratio: 0.5 | |
| } | |
| } | |
| ### pool ### | |
| layer { | |
| name: "fc7_norm" | |
| type: "Normalize" | |
| bottom: "fc7" | |
| top: "fc7_norm" | |
| norm_param { | |
| scale_filler { | |
| type: "constant" | |
| value: 10 | |
| } | |
| across_spatial: false | |
| channel_shared: false | |
| fix_scale: false | |
| } | |
| } | |
| layer { | |
| name: "pool6_1x1" | |
| type: "Pooling" | |
| bottom: "fc7" | |
| top: "pool6_1x1" | |
| pooling_param { | |
| pool: AVE | |
| bin_size: 1 | |
| } | |
| } | |
| layer { | |
| name: "pool6_1x1_norm" | |
| type: "Normalize" | |
| bottom: "pool6_1x1" | |
| top: "pool6_1x1_norm" | |
| norm_param { | |
| scale_filler { | |
| type: "constant" | |
| value: 10 | |
| } | |
| across_spatial: false | |
| channel_shared: false | |
| fix_scale: false | |
| } | |
| } | |
| layer { | |
| name: "pool6_1x1_norm_drop" | |
| type: "Dropout" | |
| bottom: "pool6_1x1_norm" | |
| top: "pool6_1x1_norm" | |
| dropout_param { | |
| dropout_ratio: 0.3 | |
| } | |
| } | |
| layer { | |
| name: "fc7_norm_score21" | |
| type: "Convolution" | |
| bottom: "fc7_norm" | |
| top: "fc7_norm_score21" | |
| param { | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 21 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "pool6_1x1_norm_score21" | |
| type: "Convolution" | |
| bottom: "pool6_1x1_norm" | |
| top: "pool6_1x1_norm_score21" | |
| param { | |
| lr_mult: 10 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 20 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 21 | |
| kernel_size: 1 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| engine: CAFFE | |
| } | |
| } | |
| layer { | |
| name: "pool6_1x1_norm_upscore21" | |
| type: "UnPooling" | |
| bottom: "pool6_1x1_norm_score21" | |
| bottom: "fc7_norm_score21" | |
| top: "pool6_1x1_norm_upscore21" | |
| unpooling_param { | |
| unpool: REP | |
| out_kernel_size: 0 | |
| out_stride: 0 | |
| } | |
| } | |
| layer { | |
| name: "score21" | |
| type: "Eltwise" | |
| bottom: "pool6_1x1_norm_upscore21" | |
| bottom: "fc7_norm_score21" | |
| top: "score21" | |
| eltwise_param { | |
| operation: SUM | |
| } | |
| } | |
| layer { | |
| name: "upscore21" | |
| type: "Deconvolution" | |
| bottom: "score21" | |
| top: "upscore21" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 21 | |
| kernel_size: 16 | |
| stride: 8 | |
| pad: 4 | |
| group: 21 | |
| weight_filler { | |
| type: "bilinear_upsampling" | |
| } | |
| } | |
| } | |
| layer { | |
| type: "Crop" | |
| name: "score" | |
| bottom: "upscore21" | |
| bottom: "data" | |
| top: "score" | |
| } | |
| layer { | |
| type: 'SoftmaxWithLoss' | |
| name: 'loss' | |
| bottom: 'score' | |
| bottom: 'label' | |
| top: 'loss' | |
| loss_param { | |
| normalize: false | |
| ignore_label: 255 | |
| } | |
| include { | |
| phase: TRAIN | |
| } | |
| } | |
| layer { | |
| type: "ParseOutput" | |
| name: "predlabel" | |
| bottom: "score" | |
| top: "predlabel" | |
| include { | |
| phase: TEST | |
| } | |
| } | |
| layer { | |
| type: "ParseEvaluate" | |
| name: "evaluation" | |
| bottom: "predlabel" | |
| bottom: "label" | |
| top: "evaluation" | |
| parse_evaluate_param { | |
| num_labels: 21 | |
| ignore_label: 255 | |
| } | |
| include { | |
| phase: TEST | |
| } | |
| } |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment