summaryrefslogtreecommitdiff
path: root/subprojects/shotwell-facedetect/deploy.prototxt
diff options
context:
space:
mode:
authorJörg Frings-Fürst <debian@jff.email>2023-06-14 20:36:37 +0200
committerJörg Frings-Fürst <debian@jff.email>2023-06-14 20:36:37 +0200
commitbb80d3feebdc9acc52e3f4ad24084d8425f043a2 (patch)
tree2084a84c39f159c6aea254775dc0880d52579d45 /subprojects/shotwell-facedetect/deploy.prototxt
parentb26ff0798252a1a8072dd2c7a67f6205de9fde11 (diff)
parent31804433d72460cbe0a39f9f8ea5e76058d84cda (diff)
Merge branch 'feature/upstream' into develop
Diffstat (limited to 'subprojects/shotwell-facedetect/deploy.prototxt')
-rw-r--r--subprojects/shotwell-facedetect/deploy.prototxt1790
1 files changed, 1790 insertions, 0 deletions
diff --git a/subprojects/shotwell-facedetect/deploy.prototxt b/subprojects/shotwell-facedetect/deploy.prototxt
new file mode 100644
index 0000000..a128515
--- /dev/null
+++ b/subprojects/shotwell-facedetect/deploy.prototxt
@@ -0,0 +1,1790 @@
+input: "data"
+input_shape {
+ dim: 1
+ dim: 3
+ dim: 300
+ dim: 300
+}
+
+layer {
+ name: "data_bn"
+ type: "BatchNorm"
+ bottom: "data"
+ top: "data_bn"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "data_scale"
+ type: "Scale"
+ bottom: "data_bn"
+ top: "data_bn"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "conv1_h"
+ type: "Convolution"
+ bottom: "data_bn"
+ top: "conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 32
+ pad: 3
+ kernel_size: 7
+ stride: 2
+ weight_filler {
+ type: "msra"
+ variance_norm: FAN_OUT
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "conv1_bn_h"
+ type: "BatchNorm"
+ bottom: "conv1_h"
+ top: "conv1_h"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "conv1_scale_h"
+ type: "Scale"
+ bottom: "conv1_h"
+ top: "conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "conv1_relu"
+ type: "ReLU"
+ bottom: "conv1_h"
+ top: "conv1_h"
+}
+layer {
+ name: "conv1_pool"
+ type: "Pooling"
+ bottom: "conv1_h"
+ top: "conv1_pool"
+ pooling_param {
+ kernel_size: 3
+ stride: 2
+ }
+}
+layer {
+ name: "layer_64_1_conv1_h"
+ type: "Convolution"
+ bottom: "conv1_pool"
+ top: "layer_64_1_conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 32
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_64_1_bn2_h"
+ type: "BatchNorm"
+ bottom: "layer_64_1_conv1_h"
+ top: "layer_64_1_conv1_h"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_64_1_scale2_h"
+ type: "Scale"
+ bottom: "layer_64_1_conv1_h"
+ top: "layer_64_1_conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_64_1_relu2"
+ type: "ReLU"
+ bottom: "layer_64_1_conv1_h"
+ top: "layer_64_1_conv1_h"
+}
+layer {
+ name: "layer_64_1_conv2_h"
+ type: "Convolution"
+ bottom: "layer_64_1_conv1_h"
+ top: "layer_64_1_conv2_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 32
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_64_1_sum"
+ type: "Eltwise"
+ bottom: "layer_64_1_conv2_h"
+ bottom: "conv1_pool"
+ top: "layer_64_1_sum"
+}
+layer {
+ name: "layer_128_1_bn1_h"
+ type: "BatchNorm"
+ bottom: "layer_64_1_sum"
+ top: "layer_128_1_bn1_h"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_128_1_scale1_h"
+ type: "Scale"
+ bottom: "layer_128_1_bn1_h"
+ top: "layer_128_1_bn1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_128_1_relu1"
+ type: "ReLU"
+ bottom: "layer_128_1_bn1_h"
+ top: "layer_128_1_bn1_h"
+}
+layer {
+ name: "layer_128_1_conv1_h"
+ type: "Convolution"
+ bottom: "layer_128_1_bn1_h"
+ top: "layer_128_1_conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 128
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_128_1_bn2"
+ type: "BatchNorm"
+ bottom: "layer_128_1_conv1_h"
+ top: "layer_128_1_conv1_h"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_128_1_scale2"
+ type: "Scale"
+ bottom: "layer_128_1_conv1_h"
+ top: "layer_128_1_conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_128_1_relu2"
+ type: "ReLU"
+ bottom: "layer_128_1_conv1_h"
+ top: "layer_128_1_conv1_h"
+}
+layer {
+ name: "layer_128_1_conv2"
+ type: "Convolution"
+ bottom: "layer_128_1_conv1_h"
+ top: "layer_128_1_conv2"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 128
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_128_1_conv_expand_h"
+ type: "Convolution"
+ bottom: "layer_128_1_bn1_h"
+ top: "layer_128_1_conv_expand_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 128
+ bias_term: false
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_128_1_sum"
+ type: "Eltwise"
+ bottom: "layer_128_1_conv2"
+ bottom: "layer_128_1_conv_expand_h"
+ top: "layer_128_1_sum"
+}
+layer {
+ name: "layer_256_1_bn1"
+ type: "BatchNorm"
+ bottom: "layer_128_1_sum"
+ top: "layer_256_1_bn1"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_256_1_scale1"
+ type: "Scale"
+ bottom: "layer_256_1_bn1"
+ top: "layer_256_1_bn1"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_256_1_relu1"
+ type: "ReLU"
+ bottom: "layer_256_1_bn1"
+ top: "layer_256_1_bn1"
+}
+layer {
+ name: "layer_256_1_conv1"
+ type: "Convolution"
+ bottom: "layer_256_1_bn1"
+ top: "layer_256_1_conv1"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 256
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_256_1_bn2"
+ type: "BatchNorm"
+ bottom: "layer_256_1_conv1"
+ top: "layer_256_1_conv1"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_256_1_scale2"
+ type: "Scale"
+ bottom: "layer_256_1_conv1"
+ top: "layer_256_1_conv1"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_256_1_relu2"
+ type: "ReLU"
+ bottom: "layer_256_1_conv1"
+ top: "layer_256_1_conv1"
+}
+layer {
+ name: "layer_256_1_conv2"
+ type: "Convolution"
+ bottom: "layer_256_1_conv1"
+ top: "layer_256_1_conv2"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 256
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_256_1_conv_expand"
+ type: "Convolution"
+ bottom: "layer_256_1_bn1"
+ top: "layer_256_1_conv_expand"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 256
+ bias_term: false
+ pad: 0
+ kernel_size: 1
+ stride: 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_256_1_sum"
+ type: "Eltwise"
+ bottom: "layer_256_1_conv2"
+ bottom: "layer_256_1_conv_expand"
+ top: "layer_256_1_sum"
+}
+layer {
+ name: "layer_512_1_bn1"
+ type: "BatchNorm"
+ bottom: "layer_256_1_sum"
+ top: "layer_512_1_bn1"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_512_1_scale1"
+ type: "Scale"
+ bottom: "layer_512_1_bn1"
+ top: "layer_512_1_bn1"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_512_1_relu1"
+ type: "ReLU"
+ bottom: "layer_512_1_bn1"
+ top: "layer_512_1_bn1"
+}
+layer {
+ name: "layer_512_1_conv1_h"
+ type: "Convolution"
+ bottom: "layer_512_1_bn1"
+ top: "layer_512_1_conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 128
+ bias_term: false
+ pad: 1
+ kernel_size: 3
+ stride: 1 # 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_512_1_bn2_h"
+ type: "BatchNorm"
+ bottom: "layer_512_1_conv1_h"
+ top: "layer_512_1_conv1_h"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "layer_512_1_scale2_h"
+ type: "Scale"
+ bottom: "layer_512_1_conv1_h"
+ top: "layer_512_1_conv1_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "layer_512_1_relu2"
+ type: "ReLU"
+ bottom: "layer_512_1_conv1_h"
+ top: "layer_512_1_conv1_h"
+}
+layer {
+ name: "layer_512_1_conv2_h"
+ type: "Convolution"
+ bottom: "layer_512_1_conv1_h"
+ top: "layer_512_1_conv2_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 256
+ bias_term: false
+ pad: 2 # 1
+ kernel_size: 3
+ stride: 1
+ dilation: 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_512_1_conv_expand_h"
+ type: "Convolution"
+ bottom: "layer_512_1_bn1"
+ top: "layer_512_1_conv_expand_h"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ convolution_param {
+ num_output: 256
+ bias_term: false
+ pad: 0
+ kernel_size: 1
+ stride: 1 # 2
+ weight_filler {
+ type: "msra"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0.0
+ }
+ }
+}
+layer {
+ name: "layer_512_1_sum"
+ type: "Eltwise"
+ bottom: "layer_512_1_conv2_h"
+ bottom: "layer_512_1_conv_expand_h"
+ top: "layer_512_1_sum"
+}
+layer {
+ name: "last_bn_h"
+ type: "BatchNorm"
+ bottom: "layer_512_1_sum"
+ top: "layer_512_1_sum"
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+ param {
+ lr_mult: 0.0
+ }
+}
+layer {
+ name: "last_scale_h"
+ type: "Scale"
+ bottom: "layer_512_1_sum"
+ top: "layer_512_1_sum"
+ param {
+ lr_mult: 1.0
+ decay_mult: 1.0
+ }
+ param {
+ lr_mult: 2.0
+ decay_mult: 1.0
+ }
+ scale_param {
+ bias_term: true
+ }
+}
+layer {
+ name: "last_relu"
+ type: "ReLU"
+ bottom: "layer_512_1_sum"
+ top: "fc7"
+}
+
+layer {
+ name: "conv6_1_h"
+ type: "Convolution"
+ bottom: "fc7"
+ top: "conv6_1_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv6_1_relu"
+ type: "ReLU"
+ bottom: "conv6_1_h"
+ top: "conv6_1_h"
+}
+layer {
+ name: "conv6_2_h"
+ type: "Convolution"
+ bottom: "conv6_1_h"
+ top: "conv6_2_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 256
+ pad: 1
+ kernel_size: 3
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv6_2_relu"
+ type: "ReLU"
+ bottom: "conv6_2_h"
+ top: "conv6_2_h"
+}
+layer {
+ name: "conv7_1_h"
+ type: "Convolution"
+ bottom: "conv6_2_h"
+ top: "conv7_1_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv7_1_relu"
+ type: "ReLU"
+ bottom: "conv7_1_h"
+ top: "conv7_1_h"
+}
+layer {
+ name: "conv7_2_h"
+ type: "Convolution"
+ bottom: "conv7_1_h"
+ top: "conv7_2_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 1
+ kernel_size: 3
+ stride: 2
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv7_2_relu"
+ type: "ReLU"
+ bottom: "conv7_2_h"
+ top: "conv7_2_h"
+}
+layer {
+ name: "conv8_1_h"
+ type: "Convolution"
+ bottom: "conv7_2_h"
+ top: "conv8_1_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv8_1_relu"
+ type: "ReLU"
+ bottom: "conv8_1_h"
+ top: "conv8_1_h"
+}
+layer {
+ name: "conv8_2_h"
+ type: "Convolution"
+ bottom: "conv8_1_h"
+ top: "conv8_2_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv8_2_relu"
+ type: "ReLU"
+ bottom: "conv8_2_h"
+ top: "conv8_2_h"
+}
+layer {
+ name: "conv9_1_h"
+ type: "Convolution"
+ bottom: "conv8_2_h"
+ top: "conv9_1_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 64
+ pad: 0
+ kernel_size: 1
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv9_1_relu"
+ type: "ReLU"
+ bottom: "conv9_1_h"
+ top: "conv9_1_h"
+}
+layer {
+ name: "conv9_2_h"
+ type: "Convolution"
+ bottom: "conv9_1_h"
+ top: "conv9_2_h"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 128
+ pad: 0
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv9_2_relu"
+ type: "ReLU"
+ bottom: "conv9_2_h"
+ top: "conv9_2_h"
+}
+layer {
+ name: "conv4_3_norm"
+ type: "Normalize"
+ bottom: "layer_256_1_bn1"
+ top: "conv4_3_norm"
+ norm_param {
+ across_spatial: false
+ scale_filler {
+ type: "constant"
+ value: 20
+ }
+ channel_shared: false
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_loc"
+ type: "Convolution"
+ bottom: "conv4_3_norm"
+ top: "conv4_3_norm_mbox_loc"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 16
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_loc_perm"
+ type: "Permute"
+ bottom: "conv4_3_norm_mbox_loc"
+ top: "conv4_3_norm_mbox_loc_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_loc_flat"
+ type: "Flatten"
+ bottom: "conv4_3_norm_mbox_loc_perm"
+ top: "conv4_3_norm_mbox_loc_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_conf"
+ type: "Convolution"
+ bottom: "conv4_3_norm"
+ top: "conv4_3_norm_mbox_conf"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 8 # 84
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_conf_perm"
+ type: "Permute"
+ bottom: "conv4_3_norm_mbox_conf"
+ top: "conv4_3_norm_mbox_conf_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_conf_flat"
+ type: "Flatten"
+ bottom: "conv4_3_norm_mbox_conf_perm"
+ top: "conv4_3_norm_mbox_conf_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv4_3_norm_mbox_priorbox"
+ type: "PriorBox"
+ bottom: "conv4_3_norm"
+ bottom: "data"
+ top: "conv4_3_norm_mbox_priorbox"
+ prior_box_param {
+ min_size: 30.0
+ max_size: 60.0
+ aspect_ratio: 2
+ flip: true
+ clip: false
+ variance: 0.1
+ variance: 0.1
+ variance: 0.2
+ variance: 0.2
+ step: 8
+ offset: 0.5
+ }
+}
+layer {
+ name: "fc7_mbox_loc"
+ type: "Convolution"
+ bottom: "fc7"
+ top: "fc7_mbox_loc"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 24
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "fc7_mbox_loc_perm"
+ type: "Permute"
+ bottom: "fc7_mbox_loc"
+ top: "fc7_mbox_loc_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "fc7_mbox_loc_flat"
+ type: "Flatten"
+ bottom: "fc7_mbox_loc_perm"
+ top: "fc7_mbox_loc_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "fc7_mbox_conf"
+ type: "Convolution"
+ bottom: "fc7"
+ top: "fc7_mbox_conf"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 12 # 126
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "fc7_mbox_conf_perm"
+ type: "Permute"
+ bottom: "fc7_mbox_conf"
+ top: "fc7_mbox_conf_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "fc7_mbox_conf_flat"
+ type: "Flatten"
+ bottom: "fc7_mbox_conf_perm"
+ top: "fc7_mbox_conf_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "fc7_mbox_priorbox"
+ type: "PriorBox"
+ bottom: "fc7"
+ bottom: "data"
+ top: "fc7_mbox_priorbox"
+ prior_box_param {
+ min_size: 60.0
+ max_size: 111.0
+ aspect_ratio: 2
+ aspect_ratio: 3
+ flip: true
+ clip: false
+ variance: 0.1
+ variance: 0.1
+ variance: 0.2
+ variance: 0.2
+ step: 16
+ offset: 0.5
+ }
+}
+layer {
+ name: "conv6_2_mbox_loc"
+ type: "Convolution"
+ bottom: "conv6_2_h"
+ top: "conv6_2_mbox_loc"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 24
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv6_2_mbox_loc_perm"
+ type: "Permute"
+ bottom: "conv6_2_mbox_loc"
+ top: "conv6_2_mbox_loc_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv6_2_mbox_loc_flat"
+ type: "Flatten"
+ bottom: "conv6_2_mbox_loc_perm"
+ top: "conv6_2_mbox_loc_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv6_2_mbox_conf"
+ type: "Convolution"
+ bottom: "conv6_2_h"
+ top: "conv6_2_mbox_conf"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 12 # 126
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv6_2_mbox_conf_perm"
+ type: "Permute"
+ bottom: "conv6_2_mbox_conf"
+ top: "conv6_2_mbox_conf_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv6_2_mbox_conf_flat"
+ type: "Flatten"
+ bottom: "conv6_2_mbox_conf_perm"
+ top: "conv6_2_mbox_conf_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv6_2_mbox_priorbox"
+ type: "PriorBox"
+ bottom: "conv6_2_h"
+ bottom: "data"
+ top: "conv6_2_mbox_priorbox"
+ prior_box_param {
+ min_size: 111.0
+ max_size: 162.0
+ aspect_ratio: 2
+ aspect_ratio: 3
+ flip: true
+ clip: false
+ variance: 0.1
+ variance: 0.1
+ variance: 0.2
+ variance: 0.2
+ step: 32
+ offset: 0.5
+ }
+}
+layer {
+ name: "conv7_2_mbox_loc"
+ type: "Convolution"
+ bottom: "conv7_2_h"
+ top: "conv7_2_mbox_loc"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 24
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv7_2_mbox_loc_perm"
+ type: "Permute"
+ bottom: "conv7_2_mbox_loc"
+ top: "conv7_2_mbox_loc_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv7_2_mbox_loc_flat"
+ type: "Flatten"
+ bottom: "conv7_2_mbox_loc_perm"
+ top: "conv7_2_mbox_loc_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv7_2_mbox_conf"
+ type: "Convolution"
+ bottom: "conv7_2_h"
+ top: "conv7_2_mbox_conf"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 12 # 126
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv7_2_mbox_conf_perm"
+ type: "Permute"
+ bottom: "conv7_2_mbox_conf"
+ top: "conv7_2_mbox_conf_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv7_2_mbox_conf_flat"
+ type: "Flatten"
+ bottom: "conv7_2_mbox_conf_perm"
+ top: "conv7_2_mbox_conf_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv7_2_mbox_priorbox"
+ type: "PriorBox"
+ bottom: "conv7_2_h"
+ bottom: "data"
+ top: "conv7_2_mbox_priorbox"
+ prior_box_param {
+ min_size: 162.0
+ max_size: 213.0
+ aspect_ratio: 2
+ aspect_ratio: 3
+ flip: true
+ clip: false
+ variance: 0.1
+ variance: 0.1
+ variance: 0.2
+ variance: 0.2
+ step: 64
+ offset: 0.5
+ }
+}
+layer {
+ name: "conv8_2_mbox_loc"
+ type: "Convolution"
+ bottom: "conv8_2_h"
+ top: "conv8_2_mbox_loc"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 16
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv8_2_mbox_loc_perm"
+ type: "Permute"
+ bottom: "conv8_2_mbox_loc"
+ top: "conv8_2_mbox_loc_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv8_2_mbox_loc_flat"
+ type: "Flatten"
+ bottom: "conv8_2_mbox_loc_perm"
+ top: "conv8_2_mbox_loc_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv8_2_mbox_conf"
+ type: "Convolution"
+ bottom: "conv8_2_h"
+ top: "conv8_2_mbox_conf"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 8 # 84
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv8_2_mbox_conf_perm"
+ type: "Permute"
+ bottom: "conv8_2_mbox_conf"
+ top: "conv8_2_mbox_conf_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv8_2_mbox_conf_flat"
+ type: "Flatten"
+ bottom: "conv8_2_mbox_conf_perm"
+ top: "conv8_2_mbox_conf_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv8_2_mbox_priorbox"
+ type: "PriorBox"
+ bottom: "conv8_2_h"
+ bottom: "data"
+ top: "conv8_2_mbox_priorbox"
+ prior_box_param {
+ min_size: 213.0
+ max_size: 264.0
+ aspect_ratio: 2
+ flip: true
+ clip: false
+ variance: 0.1
+ variance: 0.1
+ variance: 0.2
+ variance: 0.2
+ step: 100
+ offset: 0.5
+ }
+}
+layer {
+ name: "conv9_2_mbox_loc"
+ type: "Convolution"
+ bottom: "conv9_2_h"
+ top: "conv9_2_mbox_loc"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 16
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv9_2_mbox_loc_perm"
+ type: "Permute"
+ bottom: "conv9_2_mbox_loc"
+ top: "conv9_2_mbox_loc_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv9_2_mbox_loc_flat"
+ type: "Flatten"
+ bottom: "conv9_2_mbox_loc_perm"
+ top: "conv9_2_mbox_loc_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv9_2_mbox_conf"
+ type: "Convolution"
+ bottom: "conv9_2_h"
+ top: "conv9_2_mbox_conf"
+ param {
+ lr_mult: 1
+ decay_mult: 1
+ }
+ param {
+ lr_mult: 2
+ decay_mult: 0
+ }
+ convolution_param {
+ num_output: 8 # 84
+ pad: 1
+ kernel_size: 3
+ stride: 1
+ weight_filler {
+ type: "xavier"
+ }
+ bias_filler {
+ type: "constant"
+ value: 0
+ }
+ }
+}
+layer {
+ name: "conv9_2_mbox_conf_perm"
+ type: "Permute"
+ bottom: "conv9_2_mbox_conf"
+ top: "conv9_2_mbox_conf_perm"
+ permute_param {
+ order: 0
+ order: 2
+ order: 3
+ order: 1
+ }
+}
+layer {
+ name: "conv9_2_mbox_conf_flat"
+ type: "Flatten"
+ bottom: "conv9_2_mbox_conf_perm"
+ top: "conv9_2_mbox_conf_flat"
+ flatten_param {
+ axis: 1
+ }
+}
+layer {
+ name: "conv9_2_mbox_priorbox"
+ type: "PriorBox"
+ bottom: "conv9_2_h"
+ bottom: "data"
+ top: "conv9_2_mbox_priorbox"
+ prior_box_param {
+ min_size: 264.0
+ max_size: 315.0
+ aspect_ratio: 2
+ flip: true
+ clip: false
+ variance: 0.1
+ variance: 0.1
+ variance: 0.2
+ variance: 0.2
+ step: 300
+ offset: 0.5
+ }
+}
+layer {
+ name: "mbox_loc"
+ type: "Concat"
+ bottom: "conv4_3_norm_mbox_loc_flat"
+ bottom: "fc7_mbox_loc_flat"
+ bottom: "conv6_2_mbox_loc_flat"
+ bottom: "conv7_2_mbox_loc_flat"
+ bottom: "conv8_2_mbox_loc_flat"
+ bottom: "conv9_2_mbox_loc_flat"
+ top: "mbox_loc"
+ concat_param {
+ axis: 1
+ }
+}
+layer {
+ name: "mbox_conf"
+ type: "Concat"
+ bottom: "conv4_3_norm_mbox_conf_flat"
+ bottom: "fc7_mbox_conf_flat"
+ bottom: "conv6_2_mbox_conf_flat"
+ bottom: "conv7_2_mbox_conf_flat"
+ bottom: "conv8_2_mbox_conf_flat"
+ bottom: "conv9_2_mbox_conf_flat"
+ top: "mbox_conf"
+ concat_param {
+ axis: 1
+ }
+}
+layer {
+ name: "mbox_priorbox"
+ type: "Concat"
+ bottom: "conv4_3_norm_mbox_priorbox"
+ bottom: "fc7_mbox_priorbox"
+ bottom: "conv6_2_mbox_priorbox"
+ bottom: "conv7_2_mbox_priorbox"
+ bottom: "conv8_2_mbox_priorbox"
+ bottom: "conv9_2_mbox_priorbox"
+ top: "mbox_priorbox"
+ concat_param {
+ axis: 2
+ }
+}
+
+layer {
+ name: "mbox_conf_reshape"
+ type: "Reshape"
+ bottom: "mbox_conf"
+ top: "mbox_conf_reshape"
+ reshape_param {
+ shape {
+ dim: 0
+ dim: -1
+ dim: 2
+ }
+ }
+}
+layer {
+ name: "mbox_conf_softmax"
+ type: "Softmax"
+ bottom: "mbox_conf_reshape"
+ top: "mbox_conf_softmax"
+ softmax_param {
+ axis: 2
+ }
+}
+layer {
+ name: "mbox_conf_flatten"
+ type: "Flatten"
+ bottom: "mbox_conf_softmax"
+ top: "mbox_conf_flatten"
+ flatten_param {
+ axis: 1
+ }
+}
+
+layer {
+ name: "detection_out"
+ type: "DetectionOutput"
+ bottom: "mbox_loc"
+ bottom: "mbox_conf_flatten"
+ bottom: "mbox_priorbox"
+ top: "detection_out"
+ include {
+ phase: TEST
+ }
+ detection_output_param {
+ num_classes: 2
+ share_location: true
+ background_label_id: 0
+ nms_param {
+ nms_threshold: 0.45
+ top_k: 400
+ }
+ code_type: CENTER_SIZE
+ keep_top_k: 200
+ confidence_threshold: 0.01
+ clip: 1
+ }
+}