Gitea Mirror Bot
1116 lines
19 KiB
Plaintext
1116 lines
19 KiB
Plaintext
# SqueezeDet architecture for object detection on PASCAL VOC dataset
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name: "SqueezeDet"
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input: "data"
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input_dim: 1
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input_dim: 3
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input_dim: 416
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input_dim: 416
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layer {
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name: "conv1"
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type: "Convolution"
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bottom: "data"
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top: "conv1"
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convolution_param {
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num_output: 96
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kernel_size: 7
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stride: 2
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_conv1"
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type: "ReLU"
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bottom: "conv1"
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top: "conv1"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "pool1"
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type: "Pooling"
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bottom: "conv1"
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top: "pool1"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "fire2_squeeze"
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type: "Convolution"
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bottom: "pool1"
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top: "fire2_squeeze"
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convolution_param {
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num_output: 16
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire2_squeeze"
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type: "ReLU"
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bottom: "fire2_squeeze"
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top: "fire2_squeeze"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire2_expand_1x1"
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type: "Convolution"
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bottom: "fire2_squeeze"
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top: "fire2_expand_1x1"
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convolution_param {
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num_output: 64
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire2_expand_1x1"
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type: "ReLU"
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bottom: "fire2_expand_1x1"
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top: "fire2_expand_1x1"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire2_expand_3x3"
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type: "Convolution"
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bottom: "fire2_squeeze"
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top: "fire2_expand_3x3"
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convolution_param {
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num_output: 64
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kernel_size: 3
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stride: 1
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pad: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire2_expand_3x3"
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type: "ReLU"
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bottom: "fire2_expand_3x3"
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top: "fire2_expand_3x3"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire2"
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type: "Concat"
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bottom: "fire2_expand_1x1"
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bottom: "fire2_expand_3x3"
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top: "fire2"
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concat_param {
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axis: 1
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}
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}
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layer {
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name: "fire3_squeeze"
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type: "Convolution"
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bottom: "fire2"
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top: "fire3_squeeze"
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convolution_param {
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num_output: 16
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire3_squeeze"
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type: "ReLU"
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bottom: "fire3_squeeze"
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top: "fire3_squeeze"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire3_expand_1x1"
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type: "Convolution"
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bottom: "fire3_squeeze"
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top: "fire3_expand_1x1"
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convolution_param {
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num_output: 64
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire3_expand_1x1"
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type: "ReLU"
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bottom: "fire3_expand_1x1"
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top: "fire3_expand_1x1"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire3_expand_3x3"
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type: "Convolution"
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bottom: "fire3_squeeze"
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top: "fire3_expand_3x3"
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convolution_param {
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num_output: 64
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kernel_size: 3
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stride: 1
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pad: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire3_expand_3x3"
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type: "ReLU"
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bottom: "fire3_expand_3x3"
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top: "fire3_expand_3x3"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire3"
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type: "Concat"
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bottom: "fire3_expand_1x1"
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bottom: "fire3_expand_3x3"
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top: "fire3"
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concat_param {
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axis: 1
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}
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}
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layer {
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name: "fire4_squeeze"
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type: "Convolution"
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bottom: "fire3"
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top: "fire4_squeeze"
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convolution_param {
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num_output: 32
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire4_squeeze"
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type: "ReLU"
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bottom: "fire4_squeeze"
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top: "fire4_squeeze"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire4_expand_1x1"
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type: "Convolution"
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bottom: "fire4_squeeze"
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top: "fire4_expand_1x1"
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convolution_param {
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num_output: 128
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire4_expand_1x1"
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type: "ReLU"
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bottom: "fire4_expand_1x1"
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top: "fire4_expand_1x1"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire4_expand_3x3"
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type: "Convolution"
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bottom: "fire4_squeeze"
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top: "fire4_expand_3x3"
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convolution_param {
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num_output: 128
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kernel_size: 3
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stride: 1
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pad: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire4_expand_3x3"
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type: "ReLU"
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bottom: "fire4_expand_3x3"
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top: "fire4_expand_3x3"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire4"
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type: "Concat"
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bottom: "fire4_expand_1x1"
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bottom: "fire4_expand_3x3"
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top: "fire4"
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concat_param {
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axis: 1
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}
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}
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layer {
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name: "pool4"
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type: "Pooling"
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bottom: "fire4"
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top: "pool4"
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pooling_param {
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pool: MAX
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kernel_size: 3
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stride: 2
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}
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}
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layer {
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name: "fire5_squeeze"
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type: "Convolution"
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bottom: "pool4"
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top: "fire5_squeeze"
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convolution_param {
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num_output: 32
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire5_squeeze"
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type: "ReLU"
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bottom: "fire5_squeeze"
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top: "fire5_squeeze"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire5_expand_1x1"
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type: "Convolution"
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bottom: "fire5_squeeze"
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top: "fire5_expand_1x1"
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convolution_param {
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num_output: 128
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire5_expand_1x1"
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type: "ReLU"
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bottom: "fire5_expand_1x1"
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top: "fire5_expand_1x1"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire5_expand_3x3"
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type: "Convolution"
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bottom: "fire5_squeeze"
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top: "fire5_expand_3x3"
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convolution_param {
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num_output: 128
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kernel_size: 3
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stride: 1
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pad: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire5_expand_3x3"
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type: "ReLU"
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bottom: "fire5_expand_3x3"
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top: "fire5_expand_3x3"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire5"
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type: "Concat"
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bottom: "fire5_expand_1x1"
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bottom: "fire5_expand_3x3"
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top: "fire5"
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concat_param {
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axis: 1
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}
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}
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layer {
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name: "fire6_squeeze"
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type: "Convolution"
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bottom: "fire5"
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top: "fire6_squeeze"
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convolution_param {
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num_output: 48
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire6_squeeze"
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type: "ReLU"
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bottom: "fire6_squeeze"
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top: "fire6_squeeze"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire6_expand_1x1"
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type: "Convolution"
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bottom: "fire6_squeeze"
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top: "fire6_expand_1x1"
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convolution_param {
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num_output: 192
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kernel_size: 1
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stride: 1
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pad: 0
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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type: "constant"
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value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire6_expand_1x1"
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type: "ReLU"
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bottom: "fire6_expand_1x1"
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top: "fire6_expand_1x1"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire6_expand_3x3"
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type: "Convolution"
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bottom: "fire6_squeeze"
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top: "fire6_expand_3x3"
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convolution_param {
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num_output: 192
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kernel_size: 3
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stride: 1
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pad: 1
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weight_filler {
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type: "xavier"
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}
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bias_filler {
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|
type: "constant"
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|
value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire6_expand_3x3"
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|
type: "ReLU"
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|
bottom: "fire6_expand_3x3"
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top: "fire6_expand_3x3"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire6"
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type: "Concat"
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bottom: "fire6_expand_1x1"
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bottom: "fire6_expand_3x3"
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top: "fire6"
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concat_param {
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axis: 1
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}
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}
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layer {
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name: "fire7_squeeze"
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type: "Convolution"
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bottom: "fire6"
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top: "fire7_squeeze"
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|
convolution_param {
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|
num_output: 48
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|
kernel_size: 1
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|
stride: 1
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|
pad: 0
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|
weight_filler {
|
|
type: "xavier"
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|
}
|
|
bias_filler {
|
|
type: "constant"
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|
value: 0.01
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}
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}
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}
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layer {
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name: "rect_fire7_squeeze"
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type: "ReLU"
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bottom: "fire7_squeeze"
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|
top: "fire7_squeeze"
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relu_param {
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negative_slope: 0.01
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}
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}
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layer {
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name: "fire7_expand_1x1"
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type: "Convolution"
|
|
bottom: "fire7_squeeze"
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|
top: "fire7_expand_1x1"
|
|
convolution_param {
|
|
num_output: 192
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|
kernel_size: 1
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|
stride: 1
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|
pad: 0
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|
weight_filler {
|
|
type: "xavier"
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|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
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}
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|
}
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}
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|
layer {
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|
name: "rect_fire7_expand_1x1"
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type: "ReLU"
|
|
bottom: "fire7_expand_1x1"
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top: "fire7_expand_1x1"
|
|
relu_param {
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negative_slope: 0.01
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}
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}
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layer {
|
|
name: "fire7_expand_3x3"
|
|
type: "Convolution"
|
|
bottom: "fire7_squeeze"
|
|
top: "fire7_expand_3x3"
|
|
convolution_param {
|
|
num_output: 192
|
|
kernel_size: 3
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|
stride: 1
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|
pad: 1
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|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
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}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire7_expand_3x3"
|
|
type: "ReLU"
|
|
bottom: "fire7_expand_3x3"
|
|
top: "fire7_expand_3x3"
|
|
relu_param {
|
|
negative_slope: 0.01
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}
|
|
}
|
|
layer {
|
|
name: "fire7"
|
|
type: "Concat"
|
|
bottom: "fire7_expand_1x1"
|
|
bottom: "fire7_expand_3x3"
|
|
top: "fire7"
|
|
concat_param {
|
|
axis: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire8_squeeze"
|
|
type: "Convolution"
|
|
bottom: "fire7"
|
|
top: "fire8_squeeze"
|
|
convolution_param {
|
|
num_output: 64
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire8_squeeze"
|
|
type: "ReLU"
|
|
bottom: "fire8_squeeze"
|
|
top: "fire8_squeeze"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire8_expand_1x1"
|
|
type: "Convolution"
|
|
bottom: "fire8_squeeze"
|
|
top: "fire8_expand_1x1"
|
|
convolution_param {
|
|
num_output: 256
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire8_expand_1x1"
|
|
type: "ReLU"
|
|
bottom: "fire8_expand_1x1"
|
|
top: "fire8_expand_1x1"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire8_expand_3x3"
|
|
type: "Convolution"
|
|
bottom: "fire8_squeeze"
|
|
top: "fire8_expand_3x3"
|
|
convolution_param {
|
|
num_output: 256
|
|
kernel_size: 3
|
|
stride: 1
|
|
pad: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire8_expand_3x3"
|
|
type: "ReLU"
|
|
bottom: "fire8_expand_3x3"
|
|
top: "fire8_expand_3x3"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire8"
|
|
type: "Concat"
|
|
bottom: "fire8_expand_1x1"
|
|
bottom: "fire8_expand_3x3"
|
|
top: "fire8"
|
|
concat_param {
|
|
axis: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "pool8"
|
|
type: "Pooling"
|
|
bottom: "fire8"
|
|
top: "pool8"
|
|
pooling_param {
|
|
pool: MAX
|
|
kernel_size: 3
|
|
stride: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire9_squeeze"
|
|
type: "Convolution"
|
|
bottom: "pool8"
|
|
top: "fire9_squeeze"
|
|
convolution_param {
|
|
num_output: 64
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire9_squeeze"
|
|
type: "ReLU"
|
|
bottom: "fire9_squeeze"
|
|
top: "fire9_squeeze"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire9_expand_1x1"
|
|
type: "Convolution"
|
|
bottom: "fire9_squeeze"
|
|
top: "fire9_expand_1x1"
|
|
convolution_param {
|
|
num_output: 256
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire9_expand_1x1"
|
|
type: "ReLU"
|
|
bottom: "fire9_expand_1x1"
|
|
top: "fire9_expand_1x1"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire9_expand_3x3"
|
|
type: "Convolution"
|
|
bottom: "fire9_squeeze"
|
|
top: "fire9_expand_3x3"
|
|
convolution_param {
|
|
num_output: 256
|
|
kernel_size: 3
|
|
stride: 1
|
|
pad: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire9_expand_3x3"
|
|
type: "ReLU"
|
|
bottom: "fire9_expand_3x3"
|
|
top: "fire9_expand_3x3"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire9"
|
|
type: "Concat"
|
|
bottom: "fire9_expand_1x1"
|
|
bottom: "fire9_expand_3x3"
|
|
top: "fire9"
|
|
concat_param {
|
|
axis: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "conv10"
|
|
type: "Convolution"
|
|
bottom: "fire9"
|
|
top: "conv10"
|
|
convolution_param {
|
|
num_output: 1000
|
|
kernel_size: 1
|
|
stride: 1
|
|
weight_filler {
|
|
type: "gaussian"
|
|
mean: 0.0
|
|
std: 0.01
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_conv10"
|
|
type: "ReLU"
|
|
bottom: "conv10"
|
|
top: "conv10"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire10_squeeze"
|
|
type: "Convolution"
|
|
bottom: "conv10"
|
|
top: "fire10_squeeze"
|
|
convolution_param {
|
|
num_output: 96
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire10_squeeze"
|
|
type: "ReLU"
|
|
bottom: "fire10_squeeze"
|
|
top: "fire10_squeeze"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire10_expand_1x1"
|
|
type: "Convolution"
|
|
bottom: "fire10_squeeze"
|
|
top: "fire10_expand_1x1"
|
|
convolution_param {
|
|
num_output: 384
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire10_expand_1x1"
|
|
type: "ReLU"
|
|
bottom: "fire10_expand_1x1"
|
|
top: "fire10_expand_1x1"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire10_expand_3x3"
|
|
type: "Convolution"
|
|
bottom: "fire10_squeeze"
|
|
top: "fire10_expand_3x3"
|
|
convolution_param {
|
|
num_output: 384
|
|
kernel_size: 3
|
|
stride: 1
|
|
pad: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire10_expand_3x3"
|
|
type: "ReLU"
|
|
bottom: "fire10_expand_3x3"
|
|
top: "fire10_expand_3x3"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire10"
|
|
type: "Concat"
|
|
bottom: "fire10_expand_1x1"
|
|
bottom: "fire10_expand_3x3"
|
|
top: "fire10"
|
|
concat_param {
|
|
axis: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire11_squeeze"
|
|
type: "Convolution"
|
|
bottom: "fire10"
|
|
top: "fire11_squeeze"
|
|
convolution_param {
|
|
num_output: 96
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire11_squeeze"
|
|
type: "ReLU"
|
|
bottom: "fire11_squeeze"
|
|
top: "fire11_squeeze"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire11_expand_1x1"
|
|
type: "Convolution"
|
|
bottom: "fire11_squeeze"
|
|
top: "fire11_expand_1x1"
|
|
convolution_param {
|
|
num_output: 384
|
|
kernel_size: 1
|
|
stride: 1
|
|
pad: 0
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire11_expand_1x1"
|
|
type: "ReLU"
|
|
bottom: "fire11_expand_1x1"
|
|
top: "fire11_expand_1x1"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire11_expand_3x3"
|
|
type: "Convolution"
|
|
bottom: "fire11_squeeze"
|
|
top: "fire11_expand_3x3"
|
|
convolution_param {
|
|
num_output: 384
|
|
kernel_size: 3
|
|
stride: 1
|
|
pad: 1
|
|
weight_filler {
|
|
type: "xavier"
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "rect_fire11_expand_3x3"
|
|
type: "ReLU"
|
|
bottom: "fire11_expand_3x3"
|
|
top: "fire11_expand_3x3"
|
|
relu_param {
|
|
negative_slope: 0.01
|
|
}
|
|
}
|
|
layer {
|
|
name: "fire11"
|
|
type: "Concat"
|
|
bottom: "fire11_expand_1x1"
|
|
bottom: "fire11_expand_3x3"
|
|
top: "fire11"
|
|
concat_param {
|
|
axis: 1
|
|
}
|
|
}
|
|
layer {
|
|
name: "conv11"
|
|
type: "Convolution"
|
|
bottom: "fire11"
|
|
top: "conv11"
|
|
convolution_param {
|
|
num_output: 225
|
|
kernel_size: 3
|
|
stride: 1
|
|
weight_filler {
|
|
type: "gaussian"
|
|
mean: 0.0
|
|
std: 0.0001
|
|
}
|
|
bias_filler {
|
|
type: "constant"
|
|
value: 0.01
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "permute"
|
|
type: "Permute"
|
|
bottom: "conv11"
|
|
top: "permute_conv11"
|
|
permute_param {
|
|
order: 0 # N
|
|
order: 2 # H
|
|
order: 3 # W
|
|
order: 1 # C
|
|
}
|
|
}
|
|
layer {
|
|
name: "slice"
|
|
type: "Slice"
|
|
bottom: "permute_conv11"
|
|
top: "soft_class_reg"
|
|
top: "sig_conf_reg"
|
|
top: "delta_bbox"
|
|
slice_param {
|
|
axis: 3
|
|
slice_point: 180 # anchors_per_grid * classes_
|
|
slice_point: 189 # anchors_per_grid * (classes_ + 1)
|
|
}
|
|
}
|
|
layer {
|
|
name: "reshape"
|
|
type: "Reshape"
|
|
bottom: "soft_class_reg"
|
|
top: "reshape_soft_class_reg"
|
|
reshape_param {
|
|
shape {
|
|
dim: 0 # batch_size
|
|
dim: 4761 # H*W*anchors_per_grid
|
|
dim: 20 # No. of classes
|
|
}
|
|
}
|
|
}
|
|
layer {
|
|
name: "softmax"
|
|
type: "Softmax"
|
|
bottom: "reshape_soft_class_reg"
|
|
top: "class_scores"
|
|
softmax_param {
|
|
axis: 2
|
|
}
|
|
}
|
|
layer {
|
|
name: "sigmoid"
|
|
type: "Sigmoid"
|
|
bottom: "sig_conf_reg"
|
|
top: "conf_scores"
|
|
}
|