yolov5s-simple.prototxt

layer {
  name: "images"
  type: "Input"
  top: "images"
  input_param {
    shape {
      dim: 1
      dim: 3
      dim: 640
      dim: 640
    }
  }
}
layer {
  name: "Slice_4"
  type: "Slice"
  bottom: "images"
  top: "171"
  top: "171slice_another"
  slice_param {
    slice_dim: 2
    slice_point: 320
  }
}
layer {
  name: "Slice_9"
  type: "Slice"
  bottom: "171"
  top: "176"
  top: "176slice_another"
  slice_param {
    slice_dim: 3
    slice_point: 320
  }
}
layer {
  name: "Slice_14"
  type: "Slice"
  bottom: "images"
  top: "181slice_another"
  top: "181"
  slice_param {
    slice_dim: 2
    slice_point: 320
  }
}
layer {
  name: "Slice_19"
  type: "Slice"
  bottom: "181"
  top: "186"
  top: "186slice_another"
  slice_param {
    slice_dim: 3
    slice_point: 320
  }
}
layer {
  name: "Slice_24"
  type: "Slice"
  bottom: "images"
  top: "191"
  top: "191slice_another"
  slice_param {
    slice_dim: 2
    slice_point: 320
  }
}
layer {
  name: "Slice_29"
  type: "Slice"
  bottom: "191"
  top: "196slice_another"
  top: "196"
  slice_param {
    slice_dim: 3
    slice_point: 320
  }
}
layer {
  name: "Slice_34"
  type: "Slice"
  bottom: "images"
  top: "201slice_another"
  top: "201"
  slice_param {
    slice_dim: 2
    slice_point: 320
  }
}
layer {
  name: "Slice_39"
  type: "Slice"
  bottom: "201"
  top: "206slice_another"
  top: "206"
  slice_param {
    slice_dim: 3
    slice_point: 320
  }
}
layer {
  name: "Concat_40"
  type: "Concat"
  bottom: "176"
  bottom: "186"
  bottom: "196"
  bottom: "206"
  top: "207"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_41"
  type: "Convolution"
  bottom: "207"
  top: "208"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_42"
  type: "ReLU"
  bottom: "208"
  top: "209"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_43"
  type: "Convolution"
  bottom: "209"
  top: "210"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_44"
  type: "ReLU"
  bottom: "210"
  top: "211"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_45"
  type: "Convolution"
  bottom: "211"
  top: "212"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_46"
  type: "ReLU"
  bottom: "212"
  top: "213"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_47"
  type: "Convolution"
  bottom: "213"
  top: "214"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_48"
  type: "ReLU"
  bottom: "214"
  top: "215"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_49"
  type: "Convolution"
  bottom: "215"
  top: "216"
  convolution_param {
    num_output: 32
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_50"
  type: "ReLU"
  bottom: "216"
  top: "217"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_51"
  type: "Eltwise"
  bottom: "213"
  bottom: "217"
  top: "218"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_52"
  type: "Convolution"
  bottom: "218"
  top: "219"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_53"
  type: "Convolution"
  bottom: "211"
  top: "220"
  convolution_param {
    num_output: 32
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_54"
  type: "Concat"
  bottom: "219"
  bottom: "220"
  top: "221"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_55_bn"
  type: "BatchNorm"
  bottom: "221"
  top: "222"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
  }
}
layer {
  name: "BatchNormalization_55"
  type: "Scale"
  bottom: "222"
  top: "222"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_56"
  type: "ReLU"
  bottom: "222"
  top: "223"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_57"
  type: "Convolution"
  bottom: "223"
  top: "224"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_58"
  type: "ReLU"
  bottom: "224"
  top: "225"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_59"
  type: "Convolution"
  bottom: "225"
  top: "226"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_60"
  type: "ReLU"
  bottom: "226"
  top: "227"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_61"
  type: "Convolution"
  bottom: "227"
  top: "228"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_62"
  type: "ReLU"
  bottom: "228"
  top: "229"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_63"
  type: "Convolution"
  bottom: "229"
  top: "230"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_64"
  type: "ReLU"
  bottom: "230"
  top: "231"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_65"
  type: "Convolution"
  bottom: "231"
  top: "232"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_66"
  type: "ReLU"
  bottom: "232"
  top: "233"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_67"
  type: "Eltwise"
  bottom: "229"
  bottom: "233"
  top: "234"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_68"
  type: "Convolution"
  bottom: "234"
  top: "235"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_69"
  type: "ReLU"
  bottom: "235"
  top: "236"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_70"
  type: "Convolution"
  bottom: "236"
  top: "237"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_71"
  type: "ReLU"
  bottom: "237"
  top: "238"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_72"
  type: "Eltwise"
  bottom: "234"
  bottom: "238"
  top: "239"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_73"
  type: "Convolution"
  bottom: "239"
  top: "240"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_74"
  type: "ReLU"
  bottom: "240"
  top: "241"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_75"
  type: "Convolution"
  bottom: "241"
  top: "242"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_76"
  type: "ReLU"
  bottom: "242"
  top: "243"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_77"
  type: "Eltwise"
  bottom: "239"
  bottom: "243"
  top: "244"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_78"
  type: "Convolution"
  bottom: "244"
  top: "245"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_79"
  type: "Convolution"
  bottom: "227"
  top: "246"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_80"
  type: "Concat"
  bottom: "245"
  bottom: "246"
  top: "247"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_81_bn"
  type: "BatchNorm"
  bottom: "247"
  top: "248"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
  }
}
layer {
  name: "BatchNormalization_81"
  type: "Scale"
  bottom: "248"
  top: "248"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_82"
  type: "ReLU"
  bottom: "248"
  top: "249"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_83"
  type: "Convolution"
  bottom: "249"
  top: "250"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_84"
  type: "ReLU"
  bottom: "250"
  top: "251"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_85"
  type: "Convolution"
  bottom: "251"
  top: "252"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_86"
  type: "ReLU"
  bottom: "252"
  top: "253"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_87"
  type: "Convolution"
  bottom: "253"
  top: "254"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_88"
  type: "ReLU"
  bottom: "254"
  top: "255"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_89"
  type: "Convolution"
  bottom: "255"
  top: "256"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_90"
  type: "ReLU"
  bottom: "256"
  top: "257"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_91"
  type: "Convolution"
  bottom: "257"
  top: "258"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_92"
  type: "ReLU"
  bottom: "258"
  top: "259"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_93"
  type: "Eltwise"
  bottom: "255"
  bottom: "259"
  top: "260"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_94"
  type: "Convolution"
  bottom: "260"
  top: "261"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_95"
  type: "ReLU"
  bottom: "261"
  top: "262"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_96"
  type: "Convolution"
  bottom: "262"
  top: "263"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_97"
  type: "ReLU"
  bottom: "263"
  top: "264"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_98"
  type: "Eltwise"
  bottom: "260"
  bottom: "264"
  top: "265"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_99"
  type: "Convolution"
  bottom: "265"
  top: "266"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_100"
  type: "ReLU"
  bottom: "266"
  top: "267"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_101"
  type: "Convolution"
  bottom: "267"
  top: "268"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_102"
  type: "ReLU"
  bottom: "268"
  top: "269"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Add_103"
  type: "Eltwise"
  bottom: "265"
  bottom: "269"
  top: "270"
  eltwise_param {
    operation: SUM
  }
}
layer {
  name: "Conv_104"
  type: "Convolution"
  bottom: "270"
  top: "271"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_105"
  type: "Convolution"
  bottom: "253"
  top: "272"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_106"
  type: "Concat"
  bottom: "271"
  bottom: "272"
  top: "273"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_107_bn"
  type: "BatchNorm"
  bottom: "273"
  top: "274"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
  }
}
layer {
  name: "BatchNormalization_107"
  type: "Scale"
  bottom: "274"
  top: "274"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_108"
  type: "ReLU"
  bottom: "274"
  top: "275"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_109"
  type: "Convolution"
  bottom: "275"
  top: "276"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_110"
  type: "ReLU"
  bottom: "276"
  top: "277"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_111"
  type: "Convolution"
  bottom: "277"
  top: "278"
  convolution_param {
    num_output: 512
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_112"
  type: "ReLU"
  bottom: "278"
  top: "279"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_113"
  type: "Convolution"
  bottom: "279"
  top: "280"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_114"
  type: "ReLU"
  bottom: "280"
  top: "281"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "MaxPool_115"
  type: "Pooling"
  bottom: "281"
  top: "282"
  pooling_param {
    pool: MAX
    kernel_h: 5
    kernel_w: 5
    stride_h: 1
    stride_w: 1
    pad_h: 2
    pad_w: 2
  }
}
layer {
  name: "MaxPool_116"
  type: "Pooling"
  bottom: "281"
  top: "283"
  pooling_param {
    pool: MAX
    kernel_h: 9
    kernel_w: 9
    stride_h: 1
    stride_w: 1
    pad_h: 4
    pad_w: 4
  }
}
layer {
  name: "MaxPool_117"
  type: "Pooling"
  bottom: "281"
  top: "284"
  pooling_param {
    pool: MAX
    kernel_h: 13
    kernel_w: 13
    stride_h: 1
    stride_w: 1
    pad_h: 6
    pad_w: 6
  }
}
layer {
  name: "Concat_118"
  type: "Concat"
  bottom: "281"
  bottom: "282"
  bottom: "283"
  bottom: "284"
  top: "285"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_119"
  type: "Convolution"
  bottom: "285"
  top: "286"
  convolution_param {
    num_output: 512
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_120"
  type: "ReLU"
  bottom: "286"
  top: "287"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_121"
  type: "Convolution"
  bottom: "287"
  top: "288"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_122"
  type: "ReLU"
  bottom: "288"
  top: "289"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_123"
  type: "Convolution"
  bottom: "289"
  top: "290"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_124"
  type: "ReLU"
  bottom: "290"
  top: "291"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_125"
  type: "Convolution"
  bottom: "291"
  top: "292"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_126"
  type: "ReLU"
  bottom: "292"
  top: "293"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_127"
  type: "Convolution"
  bottom: "293"
  top: "294"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_128"
  type: "Convolution"
  bottom: "287"
  top: "295"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_129"
  type: "Concat"
  bottom: "294"
  bottom: "295"
  top: "296"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_130_bn"
  type: "BatchNorm"
  bottom: "296"
  top: "297"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
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}
layer {
  name: "BatchNormalization_130"
  type: "Scale"
  bottom: "297"
  top: "297"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_131"
  type: "ReLU"
  bottom: "297"
  top: "298"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
  name: "Conv_132"
  type: "Convolution"
  bottom: "298"
  top: "299"
  convolution_param {
    num_output: 512
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "299"
  top: "300"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
  name: "Conv_134"
  type: "Convolution"
  bottom: "300"
  top: "301"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "301"
  top: "302"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
  name: "Resize_136"
  type: "Upsample"
  bottom: "302"
  top: "306"
  upsample_param {
    height_scale: 2
    width_scale: 2
    mode: NEAREST
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}
layer {
  name: "Concat_137"
  type: "Concat"
  bottom: "306"
  bottom: "277"
  top: "307"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_138"
  type: "Convolution"
  bottom: "307"
  top: "308"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_139"
  type: "ReLU"
  bottom: "308"
  top: "309"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_140"
  type: "Convolution"
  bottom: "309"
  top: "310"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "310"
  top: "311"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_142"
  type: "Convolution"
  bottom: "311"
  top: "312"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_143"
  type: "ReLU"
  bottom: "312"
  top: "313"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_144"
  type: "Convolution"
  bottom: "313"
  top: "314"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_145"
  type: "Convolution"
  bottom: "307"
  top: "315"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_146"
  type: "Concat"
  bottom: "314"
  bottom: "315"
  top: "316"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_147_bn"
  type: "BatchNorm"
  bottom: "316"
  top: "317"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
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}
layer {
  name: "BatchNormalization_147"
  type: "Scale"
  bottom: "317"
  top: "317"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_148"
  type: "ReLU"
  bottom: "317"
  top: "318"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_149"
  type: "Convolution"
  bottom: "318"
  top: "319"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_150"
  type: "ReLU"
  bottom: "319"
  top: "320"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_151"
  type: "Convolution"
  bottom: "320"
  top: "321"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_152"
  type: "ReLU"
  bottom: "321"
  top: "322"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Resize_153"
  type: "Upsample"
  bottom: "322"
  top: "326"
  upsample_param {
    height_scale: 2
    width_scale: 2
    mode: NEAREST
  }
}
layer {
  name: "Concat_154"
  type: "Concat"
  bottom: "326"
  bottom: "251"
  top: "327"
  concat_param {
    axis: 1
  }
}
layer {
  name: "Conv_155"
  type: "Convolution"
  bottom: "327"
  top: "328"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_156"
  type: "ReLU"
  bottom: "328"
  top: "329"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_157"
  type: "Convolution"
  bottom: "329"
  top: "330"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_158"
  type: "ReLU"
  bottom: "330"
  top: "331"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_159"
  type: "Convolution"
  bottom: "331"
  top: "332"
  convolution_param {
    num_output: 64
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_160"
  type: "ReLU"
  bottom: "332"
  top: "333"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_161"
  type: "Convolution"
  bottom: "333"
  top: "334"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_162"
  type: "Convolution"
  bottom: "327"
  top: "335"
  convolution_param {
    num_output: 64
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "Concat"
  bottom: "334"
  bottom: "335"
  top: "336"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_164_bn"
  type: "BatchNorm"
  bottom: "336"
  top: "337"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
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}
layer {
  name: "BatchNormalization_164"
  type: "Scale"
  bottom: "337"
  top: "337"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_165"
  type: "ReLU"
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  top: "338"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_166"
  type: "Convolution"
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  top: "339"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "339"
  top: "340"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
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  type: "Convolution"
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  top: "341"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "341"
  top: "342"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
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  type: "Concat"
  bottom: "342"
  bottom: "322"
  top: "343"
  concat_param {
    axis: 1
  }
}
layer {
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  type: "Convolution"
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  top: "344"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "344"
  top: "345"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_173"
  type: "Convolution"
  bottom: "345"
  top: "346"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "346"
  top: "347"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_175"
  type: "Convolution"
  bottom: "347"
  top: "348"
  convolution_param {
    num_output: 128
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "348"
  top: "349"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_177"
  type: "Convolution"
  bottom: "349"
  top: "350"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_178"
  type: "Convolution"
  bottom: "343"
  top: "351"
  convolution_param {
    num_output: 128
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "Concat"
  bottom: "350"
  bottom: "351"
  top: "352"
  concat_param {
    axis: 1
  }
}
layer {
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  type: "BatchNorm"
  bottom: "352"
  top: "353"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
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}
layer {
  name: "BatchNormalization_180"
  type: "Scale"
  bottom: "353"
  top: "353"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_181"
  type: "ReLU"
  bottom: "353"
  top: "354"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_182"
  type: "Convolution"
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  top: "355"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "355"
  top: "356"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
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  type: "Convolution"
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  top: "357"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 2
    stride_w: 2
    dilation: 1
  }
}
layer {
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  type: "ReLU"
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  top: "358"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
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  type: "Concat"
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  bottom: "302"
  top: "359"
  concat_param {
    axis: 1
  }
}
layer {
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  type: "Convolution"
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  top: "360"
  convolution_param {
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    bias_term: true
    group: 1
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    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
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  top: "361"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
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  type: "Convolution"
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  top: "362"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
  bottom: "362"
  top: "363"
  relu_param {
    negative_slope: 0.10000000149011612
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}
layer {
  name: "Conv_191"
  type: "Convolution"
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  top: "364"
  convolution_param {
    num_output: 256
    bias_term: true
    group: 1
    pad_h: 1
    pad_w: 1
    kernel_h: 3
    kernel_w: 3
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
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  type: "ReLU"
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  top: "365"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_193"
  type: "Convolution"
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  top: "366"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Conv_194"
  type: "Convolution"
  bottom: "359"
  top: "367"
  convolution_param {
    num_output: 256
    bias_term: false
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Concat_195"
  type: "Concat"
  bottom: "366"
  bottom: "367"
  top: "368"
  concat_param {
    axis: 1
  }
}
layer {
  name: "BatchNormalization_196_bn"
  type: "BatchNorm"
  bottom: "368"
  top: "369"
  batch_norm_param {
    use_global_stats: true
    eps: 0.0010000000474974513
  }
}
layer {
  name: "BatchNormalization_196"
  type: "Scale"
  bottom: "369"
  top: "369"
  scale_param {
    bias_term: true
  }
}
layer {
  name: "LeakyRelu_197"
  type: "ReLU"
  bottom: "369"
  top: "370"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_198"
  type: "Convolution"
  bottom: "370"
  top: "371"
  convolution_param {
    num_output: 512
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "LeakyRelu_199"
  type: "ReLU"
  bottom: "371"
  top: "372"
  relu_param {
    negative_slope: 0.10000000149011612
  }
}
layer {
  name: "Conv_200"
  type: "Convolution"
  bottom: "340"
  top: "373"
  convolution_param {
    num_output: 18
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Reshape_214"
  type: "Reshape"
  bottom: "373"
  top: "391"
  reshape_param {
    shape {
      dim: 1
      dim: 3
      dim: 6
      dim: 80
      dim: 80
    }
  }
}
layer {
  name: "Transpose_215"
  type: "Permute"
  bottom: "391"
  top: "output"
  permute_param {
    order: 0
    order: 1
    order: 3
    order: 4
    order: 2
  }
}
layer {
  name: "Conv_216"
  type: "Convolution"
  bottom: "356"
  top: "393"
  convolution_param {
    num_output: 18
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Reshape_230"
  type: "Reshape"
  bottom: "393"
  top: "411"
  reshape_param {
    shape {
      dim: 1
      dim: 3
      dim: 6
      dim: 40
      dim: 40
    }
  }
}
layer {
  name: "Transpose_231"
  type: "Permute"
  bottom: "411"
  top: "412"
  permute_param {
    order: 0
    order: 1
    order: 3
    order: 4
    order: 2
  }
}
layer {
  name: "Conv_232"
  type: "Convolution"
  bottom: "372"
  top: "413"
  convolution_param {
    num_output: 18
    bias_term: true
    group: 1
    pad_h: 0
    pad_w: 0
    kernel_h: 1
    kernel_w: 1
    stride_h: 1
    stride_w: 1
    dilation: 1
  }
}
layer {
  name: "Reshape_246"
  type: "Reshape"
  bottom: "413"
  top: "431"
  reshape_param {
    shape {
      dim: 1
      dim: 3
      dim: 6
      dim: 20
      dim: 20
    }
  }
}
layer {
  name: "Transpose_247"
  type: "Permute"
  bottom: "431"
  top: "432"
  permute_param {
    order: 0
    order: 1
    order: 3
    order: 4
    order: 2
  }
}