rknn-toolkit2-v2.1.0-2024-08-08
/
rknn-toolkit2
/examples
/caffe
/vgg-ssd
/deploy_rm_detection_output.prototxt
| name: "VGG_VOC0712_SSD_300x300_deploy" | |
| layer { | |
| name: "input" | |
| type: "Input" | |
| top: "data" | |
| input_param { | |
| shape { | |
| dim: 1 | |
| dim: 3 | |
| dim: 300 | |
| dim: 300 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| 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: 2 | |
| stride: 2 | |
| } | |
| } | |
| 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: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| dilation: 1 | |
| } | |
| } | |
| 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: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| dilation: 1 | |
| } | |
| } | |
| 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: 1 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| dilation: 1 | |
| } | |
| } | |
| 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 | |
| pad: 6 | |
| kernel_size: 3 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| dilation: 6 | |
| } | |
| } | |
| layer { | |
| name: "relu6" | |
| type: "ReLU" | |
| bottom: "fc6" | |
| top: "fc6" | |
| } | |
| 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 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "relu7" | |
| type: "ReLU" | |
| bottom: "fc7" | |
| top: "fc7" | |
| } | |
| layer { | |
| name: "conv6_1" | |
| type: "Convolution" | |
| bottom: "fc7" | |
| top: "conv6_1" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| 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" | |
| top: "conv6_1" | |
| } | |
| layer { | |
| name: "conv6_2" | |
| type: "Convolution" | |
| bottom: "conv6_1" | |
| top: "conv6_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 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv6_2_relu" | |
| type: "ReLU" | |
| bottom: "conv6_2" | |
| top: "conv6_2" | |
| } | |
| layer { | |
| name: "conv7_1" | |
| type: "Convolution" | |
| bottom: "conv6_2" | |
| top: "conv7_1" | |
| 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: "conv7_1_relu" | |
| type: "ReLU" | |
| bottom: "conv7_1" | |
| top: "conv7_1" | |
| } | |
| layer { | |
| name: "conv7_2" | |
| type: "Convolution" | |
| bottom: "conv7_1" | |
| top: "conv7_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 | |
| stride: 2 | |
| weight_filler { | |
| type: "xavier" | |
| } | |
| bias_filler { | |
| type: "constant" | |
| value: 0 | |
| } | |
| } | |
| } | |
| layer { | |
| name: "conv7_2_relu" | |
| type: "ReLU" | |
| bottom: "conv7_2" | |
| top: "conv7_2" | |
| } | |
| layer { | |
| name: "conv8_1" | |
| type: "Convolution" | |
| bottom: "conv7_2" | |
| top: "conv8_1" | |
| 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: "conv8_1_relu" | |
| type: "ReLU" | |
| bottom: "conv8_1" | |
| top: "conv8_1" | |
| } | |
| layer { | |
| name: "conv8_2" | |
| type: "Convolution" | |
| bottom: "conv8_1" | |
| top: "conv8_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| 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" | |
| top: "conv8_2" | |
| } | |
| layer { | |
| name: "conv9_1" | |
| type: "Convolution" | |
| bottom: "conv8_2" | |
| top: "conv9_1" | |
| 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: "conv9_1_relu" | |
| type: "ReLU" | |
| bottom: "conv9_1" | |
| top: "conv9_1" | |
| } | |
| layer { | |
| name: "conv9_2" | |
| type: "Convolution" | |
| bottom: "conv9_1" | |
| top: "conv9_2" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 256 | |
| 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" | |
| top: "conv9_2" | |
| } | |
| layer { | |
| name: "conv4_3_norm" | |
| type: "Normalize" | |
| bottom: "conv4_3" | |
| 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: 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: 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" | |
| 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" | |
| top: "conv6_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 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" | |
| 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" | |
| 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" | |
| top: "conv7_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 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" | |
| 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" | |
| 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" | |
| top: "conv8_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 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" | |
| 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" | |
| 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" | |
| top: "conv9_2_mbox_conf" | |
| param { | |
| lr_mult: 1 | |
| decay_mult: 1 | |
| } | |
| param { | |
| lr_mult: 2 | |
| decay_mult: 0 | |
| } | |
| convolution_param { | |
| num_output: 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" | |
| 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: 21 | |
| } | |
| } | |
| } | |
| 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 | |
| } | |
| } | |