mssd512_voc.prototxt

layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 512
      dim: 512
    }
  }
}
layer {
  name: "ssd0_mobilenet0_conv0"
  type: "Convolution"
  bottom: "data"
  top: "ssd0_mobilenet0_conv0"
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm0/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv0"
  top: "ssd0_mobilenet0_conv0"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv1"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv0"
  top: "ssd0_mobilenet0_conv1"
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 8
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm1/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv1"
  top: "ssd0_mobilenet0_conv1"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv2"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv1"
  top: "ssd0_mobilenet0_conv2"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm2/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv2"
  top: "ssd0_mobilenet0_conv2"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv3"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv2"
  top: "ssd0_mobilenet0_conv3"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 16
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm3/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv3"
  top: "ssd0_mobilenet0_conv3"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv4"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv3"
  top: "ssd0_mobilenet0_conv4"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm4/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv4"
  top: "ssd0_mobilenet0_conv4"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv5"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv4"
  top: "ssd0_mobilenet0_conv5"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 32
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm5/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv5"
  top: "ssd0_mobilenet0_conv5"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv6"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv5"
  top: "ssd0_mobilenet0_conv6"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm6/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv6"
  top: "ssd0_mobilenet0_conv6"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv7"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv6"
  top: "ssd0_mobilenet0_conv7"
  convolution_param {
    num_output: 32
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 32
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm7/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv7"
  top: "ssd0_mobilenet0_conv7"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv8"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv7"
  top: "ssd0_mobilenet0_conv8"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm8/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv8"
  top: "ssd0_mobilenet0_conv8"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv9"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv8"
  top: "ssd0_mobilenet0_conv9"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 64
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm9/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv9"
  top: "ssd0_mobilenet0_conv9"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv10"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv9"
  top: "ssd0_mobilenet0_conv10"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm10/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv10"
  top: "ssd0_mobilenet0_conv10"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv11"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv10"
  top: "ssd0_mobilenet0_conv11"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 64
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm11/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv11"
  top: "ssd0_mobilenet0_conv11"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv12"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv11"
  top: "ssd0_mobilenet0_conv12"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm12/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv12"
  top: "ssd0_mobilenet0_conv12"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv13"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv12"
  top: "ssd0_mobilenet0_conv13"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm13/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv13"
  top: "ssd0_mobilenet0_conv13"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv14"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv13"
  top: "ssd0_mobilenet0_conv14"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm14/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv14"
  top: "ssd0_mobilenet0_conv14"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv15"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv14"
  top: "ssd0_mobilenet0_conv15"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm15/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv15"
  top: "ssd0_mobilenet0_conv15"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv16"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv15"
  top: "ssd0_mobilenet0_conv16"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm16/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv16"
  top: "ssd0_mobilenet0_conv16"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv17"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv16"
  top: "ssd0_mobilenet0_conv17"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm17/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv17"
  top: "ssd0_mobilenet0_conv17"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv18"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv17"
  top: "ssd0_mobilenet0_conv18"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm18/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv18"
  top: "ssd0_mobilenet0_conv18"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv19"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv18"
  top: "ssd0_mobilenet0_conv19"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm19/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv19"
  top: "ssd0_mobilenet0_conv19"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv20"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv19"
  top: "ssd0_mobilenet0_conv20"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm20/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv20"
  top: "ssd0_mobilenet0_conv20"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv21"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv20"
  top: "ssd0_mobilenet0_conv21"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm21/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv21"
  top: "ssd0_mobilenet0_conv21"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv22"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv21"
  top: "ssd0_mobilenet0_conv22"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm22/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv22"
  top: "ssd0_mobilenet0_conv22"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_convpredictor1_conv0"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv22"
  top: "ssd0_convpredictor1_conv0"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose6"
  type: "Permute"
  bottom: "ssd0_convpredictor1_conv0"
  top: "ssd0_transpose6"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten6"
  type: "Flatten"
  bottom: "ssd0_transpose6"
  top: "ssd0_flatten6"
}
layer {
  name: "ssd0_mobilenet0_conv23"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv22"
  top: "ssd0_mobilenet0_conv23"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 128
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm23/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv23"
  top: "ssd0_mobilenet0_conv23"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv24"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv23"
  top: "ssd0_mobilenet0_conv24"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm24/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv24"
  top: "ssd0_mobilenet0_conv24"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv25"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv24"
  top: "ssd0_mobilenet0_conv25"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 256
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm25/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv25"
  top: "ssd0_mobilenet0_conv25"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_mobilenet0_conv26"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv25"
  top: "ssd0_mobilenet0_conv26"
  convolution_param {
    num_output: 256
    bias_term: true
    pad: 0
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_mobilenet0_batchnorm26/relu"
  type: "ReLU"
  bottom: "ssd0_mobilenet0_conv26"
  top: "ssd0_mobilenet0_conv26"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_convpredictor3_conv0"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv26"
  top: "ssd0_convpredictor3_conv0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose7"
  type: "Permute"
  bottom: "ssd0_convpredictor3_conv0"
  top: "ssd0_transpose7"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten7"
  type: "Flatten"
  bottom: "ssd0_transpose7"
  top: "ssd0_flatten7"
}
layer {
  name: "ssd0_expand_trans_conv0"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv26"
  top: "ssd0_expand_trans_conv0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_trans_bn0/relu"
  type: "ReLU"
  bottom: "ssd0_expand_trans_conv0"
  top: "ssd0_expand_trans_conv0"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_expand_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_trans_conv0"
  top: "ssd0_expand_conv0"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_bn0/relu"
  type: "ReLU"
  bottom: "ssd0_expand_conv0"
  top: "ssd0_expand_conv0"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_convpredictor5_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv0"
  top: "ssd0_convpredictor5_conv0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose8"
  type: "Permute"
  bottom: "ssd0_convpredictor5_conv0"
  top: "ssd0_transpose8"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten8"
  type: "Flatten"
  bottom: "ssd0_transpose8"
  top: "ssd0_flatten8"
}
layer {
  name: "ssd0_expand_trans_conv1"
  type: "Convolution"
  bottom: "ssd0_expand_conv0"
  top: "ssd0_expand_trans_conv1"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_trans_bn1/relu"
  type: "ReLU"
  bottom: "ssd0_expand_trans_conv1"
  top: "ssd0_expand_trans_conv1"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_expand_conv1"
  type: "Convolution"
  bottom: "ssd0_expand_trans_conv1"
  top: "ssd0_expand_conv1"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_bn1/relu"
  type: "ReLU"
  bottom: "ssd0_expand_conv1"
  top: "ssd0_expand_conv1"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_convpredictor7_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv1"
  top: "ssd0_convpredictor7_conv0"
  convolution_param {
    num_output: 16
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose9"
  type: "Permute"
  bottom: "ssd0_convpredictor7_conv0"
  top: "ssd0_transpose9"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten9"
  type: "Flatten"
  bottom: "ssd0_transpose9"
  top: "ssd0_flatten9"
}
layer {
  name: "ssd0_expand_trans_conv2"
  type: "Convolution"
  bottom: "ssd0_expand_conv1"
  top: "ssd0_expand_trans_conv2"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_trans_bn2/relu"
  type: "ReLU"
  bottom: "ssd0_expand_trans_conv2"
  top: "ssd0_expand_trans_conv2"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_expand_conv2"
  type: "Convolution"
  bottom: "ssd0_expand_trans_conv2"
  top: "ssd0_expand_conv2"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_bn2/relu"
  type: "ReLU"
  bottom: "ssd0_expand_conv2"
  top: "ssd0_expand_conv2"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_convpredictor9_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv2"
  top: "ssd0_convpredictor9_conv0"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose10"
  type: "Permute"
  bottom: "ssd0_convpredictor9_conv0"
  top: "ssd0_transpose10"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten10"
  type: "Flatten"
  bottom: "ssd0_transpose10"
  top: "ssd0_flatten10"
}
layer {
  name: "ssd0_expand_trans_conv3"
  type: "Convolution"
  bottom: "ssd0_expand_conv2"
  top: "ssd0_expand_trans_conv3"
  convolution_param {
    num_output: 128
    bias_term: true
    pad: 1
    kernel_size: 1
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_trans_bn3/relu"
  type: "ReLU"
  bottom: "ssd0_expand_trans_conv3"
  top: "ssd0_expand_trans_conv3"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_expand_conv3"
  type: "Convolution"
  bottom: "ssd0_expand_trans_conv3"
  top: "ssd0_expand_conv3"
  convolution_param {
    num_output: 64
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 2
    dilation: 1
  }
}
layer {
  name: "ssd0_expand_bn3/relu"
  type: "ReLU"
  bottom: "ssd0_expand_conv3"
  top: "ssd0_expand_conv3"
  relu_param {
    negative_slope: 0.0
  }
}
layer {
  name: "ssd0_convpredictor11_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv3"
  top: "ssd0_convpredictor11_conv0"
  convolution_param {
    num_output: 12
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose11"
  type: "Permute"
  bottom: "ssd0_convpredictor11_conv0"
  top: "ssd0_transpose11"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten11"
  type: "Flatten"
  bottom: "ssd0_transpose11"
  top: "ssd0_flatten11"
}
layer {
  name: "ssd0_concat1"
  type: "Concat"
  bottom: "ssd0_flatten6"
  bottom: "ssd0_flatten7"
  bottom: "ssd0_flatten8"
  bottom: "ssd0_flatten9"
  bottom: "ssd0_flatten10"
  bottom: "ssd0_flatten11"
  top: "ssd0_concat1"
  concat_param {
    axis: 1
  }
}
layer {
  name: "ssd0_convpredictor0_conv0"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv22"
  top: "ssd0_convpredictor0_conv0"
  convolution_param {
    num_output: 6
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose0"
  type: "Permute"
  bottom: "ssd0_convpredictor0_conv0"
  top: "ssd0_transpose0"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten0"
  type: "Flatten"
  bottom: "ssd0_transpose0"
  top: "ssd0_flatten0"
}
layer {
  name: "ssd0_convpredictor2_conv0"
  type: "Convolution"
  bottom: "ssd0_mobilenet0_conv26"
  top: "ssd0_convpredictor2_conv0"
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose1"
  type: "Permute"
  bottom: "ssd0_convpredictor2_conv0"
  top: "ssd0_transpose1"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten1"
  type: "Flatten"
  bottom: "ssd0_transpose1"
  top: "ssd0_flatten1"
}
layer {
  name: "ssd0_convpredictor4_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv0"
  top: "ssd0_convpredictor4_conv0"
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose2"
  type: "Permute"
  bottom: "ssd0_convpredictor4_conv0"
  top: "ssd0_transpose2"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten2"
  type: "Flatten"
  bottom: "ssd0_transpose2"
  top: "ssd0_flatten2"
}
layer {
  name: "ssd0_convpredictor6_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv1"
  top: "ssd0_convpredictor6_conv0"
  convolution_param {
    num_output: 8
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose3"
  type: "Permute"
  bottom: "ssd0_convpredictor6_conv0"
  top: "ssd0_transpose3"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten3"
  type: "Flatten"
  bottom: "ssd0_transpose3"
  top: "ssd0_flatten3"
}
layer {
  name: "ssd0_convpredictor8_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv2"
  top: "ssd0_convpredictor8_conv0"
  convolution_param {
    num_output: 6
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose4"
  type: "Permute"
  bottom: "ssd0_convpredictor8_conv0"
  top: "ssd0_transpose4"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten4"
  type: "Flatten"
  bottom: "ssd0_transpose4"
  top: "ssd0_flatten4"
}
layer {
  name: "ssd0_convpredictor10_conv0"
  type: "Convolution"
  bottom: "ssd0_expand_conv3"
  top: "ssd0_convpredictor10_conv0"
  convolution_param {
    num_output: 6
    bias_term: true
    pad: 1
    kernel_size: 3
    group: 1
    stride: 1
    dilation: 1
  }
}
layer {
  name: "ssd0_transpose5"
  type: "Permute"
  bottom: "ssd0_convpredictor10_conv0"
  top: "ssd0_transpose5"
  permute_param {
    order: 0
    order: 2
    order: 3
    order: 1
  }
}
layer {
  name: "ssd0_flatten5"
  type: "Flatten"
  bottom: "ssd0_transpose5"
  top: "ssd0_flatten5"
}
layer {
  name: "ssd0_concat0"
  type: "Concat"
  bottom: "ssd0_flatten0"
  bottom: "ssd0_flatten1"
  bottom: "ssd0_flatten2"
  bottom: "ssd0_flatten3"
  bottom: "ssd0_flatten4"
  bottom: "ssd0_flatten5"
  top: "ssd0_concat0"
  concat_param {
    axis: 1
  }
}
layer {
  name: "ssd0_reshape6"
  type: "Reshape"
  bottom: "ssd0_concat0"
  top: "ssd0_reshape6"
  reshape_param {
    shape {
      dim: 0
      dim: -1
      dim: 2
    }
  }
}
layer {
  name: "softmax0"
  type: "Softmax"
  bottom: "ssd0_reshape6"
  top: "softmax0"
  softmax_param {
    axis: 2
  }
}
layer {
  name: "flatten0"
  type: "Flatten"
  bottom: "softmax0"
  top: "flatten0"
}
layer {
  name: "ssd0_mobilenet0_relu22_fwd_priorbox"
  type: "PriorBox"
  bottom: "ssd0_mobilenet0_conv22"
  bottom: "data"
  top: "ssd0_mobilenet0_relu22_fwd_priorbox"
  prior_box_param {
    min_size: 51.20000076293945
    max_size: 102.4000015258789
    aspect_ratio: 1.0
    aspect_ratio: 2.0
    flip: false
    clip: false
    variance: 0.10000000149011612
    variance: 0.10000000149011612
    variance: 0.20000000298023224
    variance: 0.20000000298023224
    offset: 0.5
  }
}
layer {
  name: "ssd0_mobilenet0_relu26_fwd_priorbox"
  type: "PriorBox"
  bottom: "ssd0_mobilenet0_conv26"
  bottom: "data"
  top: "ssd0_mobilenet0_relu26_fwd_priorbox"
  prior_box_param {
    min_size: 102.4000015258789
    max_size: 189.39999389648438
    aspect_ratio: 1.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: false
    clip: false
    variance: 0.10000000149011612
    variance: 0.10000000149011612
    variance: 0.20000000298023224
    variance: 0.20000000298023224
    offset: 0.5
  }
}
layer {
  name: "ssd0_expand_reu0_priorbox"
  type: "PriorBox"
  bottom: "ssd0_expand_conv0"
  bottom: "data"
  top: "ssd0_expand_reu0_priorbox"
  prior_box_param {
    min_size: 189.39999389648438
    max_size: 276.3999938964844
    aspect_ratio: 1.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: false
    clip: false
    variance: 0.10000000149011612
    variance: 0.10000000149011612
    variance: 0.20000000298023224
    variance: 0.20000000298023224
    offset: 0.5
  }
}
layer {
  name: "ssd0_expand_reu1_priorbox"
  type: "PriorBox"
  bottom: "ssd0_expand_conv1"
  bottom: "data"
  top: "ssd0_expand_reu1_priorbox"
  prior_box_param {
    min_size: 276.3999938964844
    max_size: 363.5199890136719
    aspect_ratio: 1.0
    aspect_ratio: 2.0
    aspect_ratio: 3.0
    flip: false
    clip: false
    variance: 0.10000000149011612
    variance: 0.10000000149011612
    variance: 0.20000000298023224
    variance: 0.20000000298023224
    offset: 0.5
  }
}
layer {
  name: "ssd0_expand_reu2_priorbox"
  type: "PriorBox"
  bottom: "ssd0_expand_conv2"
  bottom: "data"
  top: "ssd0_expand_reu2_priorbox"
  prior_box_param {
    min_size: 363.5199890136719
    max_size: 450.6000061035156
    aspect_ratio: 1.0
    aspect_ratio: 2.0
    flip: false
    clip: false
    variance: 0.10000000149011612
    variance: 0.10000000149011612
    variance: 0.20000000298023224
    variance: 0.20000000298023224
    offset: 0.5
  }
}
layer {
  name: "ssd0_expand_reu3_priorbox"
  type: "PriorBox"
  bottom: "ssd0_expand_conv3"
  bottom: "data"
  top: "ssd0_expand_reu3_priorbox"
  prior_box_param {
    min_size: 450.6000061035156
    max_size: 492.0
    aspect_ratio: 1.0
    aspect_ratio: 2.0
    flip: false
    clip: false
    variance: 0.10000000149011612
    variance: 0.10000000149011612
    variance: 0.20000000298023224
    variance: 0.20000000298023224
    offset: 0.5
  }
}
layer {
  name: "concat0"
  type: "Concat"
  bottom: "ssd0_mobilenet0_relu22_fwd_priorbox"
  bottom: "ssd0_mobilenet0_relu26_fwd_priorbox"
  bottom: "ssd0_expand_reu0_priorbox"
  bottom: "ssd0_expand_reu1_priorbox"
  bottom: "ssd0_expand_reu2_priorbox"
  bottom: "ssd0_expand_reu3_priorbox"
  top: "concat0"
  concat_param {
    axis: 2
  }
}
layer {
  name: "detection_out"
  type: "DetectionOutput"
  bottom: "ssd0_concat1"
  bottom: "flatten0"
  bottom: "concat0"
  top: "detection_out"
  detection_output_param {
    num_classes: 2
    share_location: true
    background_label_id: 0
    nms_param {
      nms_threshold: 0.44999998807907104
      top_k: 400
    }
    code_type: CENTER_SIZE
    keep_top_k: 100
    confidence_threshold: 0.009999999776482582
  }
}