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- name: "Fisher Yu's Test Net @ PASCAL VOC 2012"
- layer {
- name: "data"
- type: "ImageLabelData"
- top: "data"
- top: "label"
- transform_param {
- mirror: false
- crop_size: 500
- mean_value: 102.93
- mean_value: 111.36
- mean_value: 116.52
- }
- image_label_data_param {
- image_list_path: "/home/liuyufei/ssd/PASCAL_VOC2012"
- label_list_path: "/home/liuyufei/ssd/PASCAL_VOC2012"
- batch_size: 2
- shuffle: true
- label_slice {
- dim: 16
- dim: 16
- stride: 8
- stride: 8
- offset: 186
- offset: 186
- }
- padding: REFLECT
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- 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
- kernel_size: 3
- }
- }
- layer {
- name: "relu4_3"
- type: "ReLU"
- bottom: "conv4_3"
- top: "conv4_3"
- }
- layer {
- name: "conv5_1"
- type: "Convolution"
- bottom: "conv4_3"
- top: "conv5_1"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- param {
- lr_mult: 2
- decay_mult: 0
- }
- convolution_param {
- num_output: 512
- kernel_size: 3
- dilation: 2
- }
- }
- 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
- kernel_size: 3
- dilation: 2
- }
- }
- 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
- kernel_size: 3
- dilation: 2
- }
- }
- layer {
- name: "relu5_3"
- type: "ReLU"
- bottom: "conv5_3"
- top: "conv5_3"
- }
- layer {
- name: "fc6"
- type: "Convolution"
- bottom: "conv5_3"
- top: "fc6"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- param {
- lr_mult: 2
- decay_mult: 0
- }
- convolution_param {
- num_output: 4096
- kernel_size: 7
- dilation: 4
- }
- }
- 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: 4096
- kernel_size: 1
- }
- }
- layer {
- name: "relu7"
- type: "ReLU"
- bottom: "fc7"
- top: "fc7"
- }
- layer {
- name: "drop7"
- type: "Dropout"
- bottom: "fc7"
- top: "fc7"
- dropout_param {
- dropout_ratio: 0.5
- }
- }
- layer {
- name: "final"
- type: "Convolution"
- bottom: "fc7"
- top: "final"
- param {
- lr_mult: 1
- decay_mult: 1
- }
- param {
- lr_mult: 2
- decay_mult: 0
- }
- convolution_param {
- num_output: 21
- kernel_size: 1
- weight_filler {
- type: "gaussian"
- std: 0.001
- }
- bias_filler {
- type: "constant"
- value: 0
- }
- }
- }
- layer {
- name: "loss"
- type: "SoftmaxWithLoss"
- bottom: "final"
- bottom: "label"
- top: "loss"
- loss_param {
- ignore_label: 255
- normalization: VALID
- }
- }
- layer {
- name: "accuracy"
- type: "Accuracy"
- bottom: "final"
- bottom: "label"
- top: "accuracy"
- accuracy_param {
- ignore_label: 255
- }
- }
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