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- VGG_ILSVRC_19_layers_train_val.prototxt
- name: "VGG_ILSVRC_19_layers"
- layers {
- name: "data"
- type: DATA
- include {
- phase: TRAIN
- }
- transform_param {
- crop_size: 224
- mean_value: 104
- mean_value: 117
- mean_value: 123
- mirror: true
- }
- data_param {
- source: "data/ilsvrc12/ilsvrc12_train_lmdb"
- batch_size: 64
- backend: LMDB
- }
- top: "data"
- top: "label"
- }
- layers {
- name: "data"
- type: DATA
- include {
- phase: TEST
- }
- transform_param {
- crop_size: 224
- mean_value: 104
- mean_value: 117
- mean_value: 123
- mirror: false
- }
- data_param {
- source: "data/ilsvrc12/ilsvrc12_val_lmdb"
- batch_size: 50
- backend: LMDB
- }
- top: "data"
- top: "label"
- }
- layers {
- bottom: "data"
- top: "conv1_1"
- name: "conv1_1"
- type: CONVOLUTION
- convolution_param {
- num_output: 64
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv1_1"
- top: "conv1_1"
- name: "relu1_1"
- type: RELU
- }
- layers {
- bottom: "conv1_1"
- top: "conv1_2"
- name: "conv1_2"
- type: CONVOLUTION
- convolution_param {
- num_output: 64
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv1_2"
- top: "conv1_2"
- name: "relu1_2"
- type: RELU
- }
- layers {
- bottom: "conv1_2"
- top: "pool1"
- name: "pool1"
- type: POOLING
- pooling_param {
- pool: MAX
- kernel_size: 2
- stride: 2
- }
- }
- layers {
- bottom: "pool1"
- top: "conv2_1"
- name: "conv2_1"
- type: CONVOLUTION
- convolution_param {
- num_output: 128
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv2_1"
- top: "conv2_1"
- name: "relu2_1"
- type: RELU
- }
- layers {
- bottom: "conv2_1"
- top: "conv2_2"
- name: "conv2_2"
- type: CONVOLUTION
- convolution_param {
- num_output: 128
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv2_2"
- top: "conv2_2"
- name: "relu2_2"
- type: RELU
- }
- layers {
- bottom: "conv2_2"
- top: "pool2"
- name: "pool2"
- type: POOLING
- pooling_param {
- pool: MAX
- kernel_size: 2
- stride: 2
- }
- }
- layers {
- bottom: "pool2"
- top: "conv3_1"
- name: "conv3_1"
- type: CONVOLUTION
- convolution_param {
- num_output: 256
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv3_1"
- top: "conv3_1"
- name: "relu3_1"
- type: RELU
- }
- layers {
- bottom: "conv3_1"
- top: "conv3_2"
- name: "conv3_2"
- type: CONVOLUTION
- convolution_param {
- num_output: 256
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv3_2"
- top: "conv3_2"
- name: "relu3_2"
- type: RELU
- }
- layers {
- bottom: "conv3_2"
- top: "conv3_3"
- name: "conv3_3"
- type: CONVOLUTION
- convolution_param {
- num_output: 256
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv3_3"
- top: "conv3_3"
- name: "relu3_3"
- type: RELU
- }
- layers {
- bottom: "conv3_3"
- top: "conv3_4"
- name: "conv3_4"
- type: CONVOLUTION
- convolution_param {
- num_output: 256
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv3_4"
- top: "conv3_4"
- name: "relu3_4"
- type: RELU
- }
- layers {
- bottom: "conv3_4"
- top: "pool3"
- name: "pool3"
- type: POOLING
- pooling_param {
- pool: MAX
- kernel_size: 2
- stride: 2
- }
- }
- layers {
- bottom: "pool3"
- top: "conv4_1"
- name: "conv4_1"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv4_1"
- top: "conv4_1"
- name: "relu4_1"
- type: RELU
- }
- layers {
- bottom: "conv4_1"
- top: "conv4_2"
- name: "conv4_2"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv4_2"
- top: "conv4_2"
- name: "relu4_2"
- type: RELU
- }
- layers {
- bottom: "conv4_2"
- top: "conv4_3"
- name: "conv4_3"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv4_3"
- top: "conv4_3"
- name: "relu4_3"
- type: RELU
- }
- layers {
- bottom: "conv4_3"
- top: "conv4_4"
- name: "conv4_4"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv4_4"
- top: "conv4_4"
- name: "relu4_4"
- type: RELU
- }
- layers {
- bottom: "conv4_4"
- top: "pool4"
- name: "pool4"
- type: POOLING
- pooling_param {
- pool: MAX
- kernel_size: 2
- stride: 2
- }
- }
- layers {
- bottom: "pool4"
- top: "conv5_1"
- name: "conv5_1"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv5_1"
- top: "conv5_1"
- name: "relu5_1"
- type: RELU
- }
- layers {
- bottom: "conv5_1"
- top: "conv5_2"
- name: "conv5_2"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv5_2"
- top: "conv5_2"
- name: "relu5_2"
- type: RELU
- }
- layers {
- bottom: "conv5_2"
- top: "conv5_3"
- name: "conv5_3"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv5_3"
- top: "conv5_3"
- name: "relu5_3"
- type: RELU
- }
- layers {
- bottom: "conv5_3"
- top: "conv5_4"
- name: "conv5_4"
- type: CONVOLUTION
- convolution_param {
- num_output: 512
- pad: 1
- kernel_size: 3
- }
- }
- layers {
- bottom: "conv5_4"
- top: "conv5_4"
- name: "relu5_4"
- type: RELU
- }
- layers {
- bottom: "conv5_4"
- top: "pool5"
- name: "pool5"
- type: POOLING
- pooling_param {
- pool: MAX
- kernel_size: 2
- stride: 2
- }
- }
- layers {
- bottom: "pool5"
- top: "fc6"
- name: "fc6"
- type: INNER_PRODUCT
- inner_product_param {
- num_output: 4096
- }
- }
- layers {
- bottom: "fc6"
- top: "fc6"
- name: "relu6"
- type: RELU
- }
- layers {
- bottom: "fc6"
- top: "fc6"
- name: "drop6"
- type: DROPOUT
- dropout_param {
- dropout_ratio: 0.5
- }
- }
- layers {
- bottom: "fc6"
- top: "fc7"
- name: "fc7"
- type: INNER_PRODUCT
- inner_product_param {
- num_output: 4096
- }
- }
- layers {
- bottom: "fc7"
- top: "fc7"
- name: "relu7"
- type: RELU
- }
- layers {
- bottom: "fc7"
- top: "fc7"
- name: "drop7"
- type: DROPOUT
- dropout_param {
- dropout_ratio: 0.5
- }
- }
- layers {
- name: "fc8"
- bottom: "fc7"
- top: "fc8"
- type: INNER_PRODUCT
- inner_product_param {
- num_output: 1000
- }
- }
- layers {
- name: "loss"
- type: SOFTMAX_LOSS
- bottom: "fc8"
- bottom: "label"
- top: "loss/loss"
- }
- layers {
- name: "accuracy/top1"
- type: ACCURACY
- bottom: "fc8"
- bottom: "label"
- top: "accuracy@1"
- include: { phase: TEST }
- accuracy_param {
- top_k: 1
- }
- }
- layers {
- name: "accuracy/top5"
- type: ACCURACY
- bottom: "fc8"
- bottom: "label"
- top: "accuracy@5"
- include: { phase: TEST }
- accuracy_param {
- top_k: 5
- }
- }
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