deploy_resnet152_hybrid1365.prototxt

name: "ResNet-152-hybrid1365"
input: "data"
input_dim: 10
input_dim: 3
input_dim: 224
input_dim: 224
layer {
	bottom: "data"
	top: "conv1"
	name: "conv1"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 7
		pad: 3
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "conv1"
	top: "conv1"
	name: "bn_conv1"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "conv1"
	top: "conv1"
	name: "scale_conv1"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "conv1"
	bottom: "conv1"
	name: "conv1_relu"
	type: "ReLU"
}

layer {
	bottom: "conv1"
	top: "pool1"
	name: "pool1"
	type: "Pooling"
	pooling_param {
		kernel_size: 3
		stride: 2
		pool: MAX
	}
}

layer {
	bottom: "pool1"
	top: "res2a_branch1"
	name: "res2a_branch1"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch1"
	top: "res2a_branch1"
	name: "bn2a_branch1"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2a_branch1"
	top: "res2a_branch1"
	name: "scale2a_branch1"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "pool1"
	top: "res2a_branch2a"
	name: "res2a_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2a"
	top: "res2a_branch2a"
	name: "bn2a_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2a_branch2a"
	top: "res2a_branch2a"
	name: "scale2a_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res2a_branch2a"
	bottom: "res2a_branch2a"
	name: "res2a_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res2a_branch2a"
	top: "res2a_branch2b"
	name: "res2a_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2b"
	top: "res2a_branch2b"
	name: "bn2a_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2a_branch2b"
	top: "res2a_branch2b"
	name: "scale2a_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res2a_branch2b"
	bottom: "res2a_branch2b"
	name: "res2a_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res2a_branch2b"
	top: "res2a_branch2c"
	name: "res2a_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2c"
	top: "res2a_branch2c"
	name: "bn2a_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2a_branch2c"
	top: "res2a_branch2c"
	name: "scale2a_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res2a_branch1"
	bottom: "res2a_branch2c"
	top: "res2a"
	name: "res2a"
	type: "Eltwise"
}

layer {
	bottom: "res2a"
	top: "res2a"
	name: "res2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res2a"
	top: "res2b_branch2a"
	name: "res2b_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2a"
	top: "res2b_branch2a"
	name: "bn2b_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2b_branch2a"
	top: "res2b_branch2a"
	name: "scale2b_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res2b_branch2a"
	bottom: "res2b_branch2a"
	name: "res2b_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res2b_branch2a"
	top: "res2b_branch2b"
	name: "res2b_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2b"
	top: "res2b_branch2b"
	name: "bn2b_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2b_branch2b"
	top: "res2b_branch2b"
	name: "scale2b_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res2b_branch2b"
	bottom: "res2b_branch2b"
	name: "res2b_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res2b_branch2b"
	top: "res2b_branch2c"
	name: "res2b_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2c"
	top: "res2b_branch2c"
	name: "bn2b_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2b_branch2c"
	top: "res2b_branch2c"
	name: "scale2b_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res2a"
	bottom: "res2b_branch2c"
	top: "res2b"
	name: "res2b"
	type: "Eltwise"
}

layer {
	bottom: "res2b"
	top: "res2b"
	name: "res2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res2b"
	top: "res2c_branch2a"
	name: "res2c_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2a"
	top: "res2c_branch2a"
	name: "bn2c_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2c_branch2a"
	top: "res2c_branch2a"
	name: "scale2c_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res2c_branch2a"
	bottom: "res2c_branch2a"
	name: "res2c_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res2c_branch2a"
	top: "res2c_branch2b"
	name: "res2c_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2b"
	top: "res2c_branch2b"
	name: "bn2c_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2c_branch2b"
	top: "res2c_branch2b"
	name: "scale2c_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res2c_branch2b"
	bottom: "res2c_branch2b"
	name: "res2c_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res2c_branch2b"
	top: "res2c_branch2c"
	name: "res2c_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2c"
	top: "res2c_branch2c"
	name: "bn2c_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res2c_branch2c"
	top: "res2c_branch2c"
	name: "scale2c_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res2b"
	bottom: "res2c_branch2c"
	top: "res2c"
	name: "res2c"
	type: "Eltwise"
}

layer {
	bottom: "res2c"
	top: "res2c"
	name: "res2c_relu"
	type: "ReLU"
}

layer {
	bottom: "res2c"
	top: "res3a_branch1"
	name: "res3a_branch1"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch1"
	top: "res3a_branch1"
	name: "bn3a_branch1"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3a_branch1"
	top: "res3a_branch1"
	name: "scale3a_branch1"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res2c"
	top: "res3a_branch2a"
	name: "res3a_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2a"
	top: "res3a_branch2a"
	name: "bn3a_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3a_branch2a"
	top: "res3a_branch2a"
	name: "scale3a_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3a_branch2a"
	bottom: "res3a_branch2a"
	name: "res3a_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3a_branch2a"
	top: "res3a_branch2b"
	name: "res3a_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2b"
	top: "res3a_branch2b"
	name: "bn3a_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3a_branch2b"
	top: "res3a_branch2b"
	name: "scale3a_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3a_branch2b"
	bottom: "res3a_branch2b"
	name: "res3a_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3a_branch2b"
	top: "res3a_branch2c"
	name: "res3a_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2c"
	top: "res3a_branch2c"
	name: "bn3a_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3a_branch2c"
	top: "res3a_branch2c"
	name: "scale3a_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3a_branch1"
	bottom: "res3a_branch2c"
	top: "res3a"
	name: "res3a"
	type: "Eltwise"
}

layer {
	bottom: "res3a"
	top: "res3a"
	name: "res3a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3a"
	top: "res3b1_branch2a"
	name: "res3b1_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2a"
	top: "res3b1_branch2a"
	name: "bn3b1_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b1_branch2a"
	top: "res3b1_branch2a"
	name: "scale3b1_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b1_branch2a"
	bottom: "res3b1_branch2a"
	name: "res3b1_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b1_branch2a"
	top: "res3b1_branch2b"
	name: "res3b1_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2b"
	top: "res3b1_branch2b"
	name: "bn3b1_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b1_branch2b"
	top: "res3b1_branch2b"
	name: "scale3b1_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b1_branch2b"
	bottom: "res3b1_branch2b"
	name: "res3b1_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b1_branch2b"
	top: "res3b1_branch2c"
	name: "res3b1_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2c"
	top: "res3b1_branch2c"
	name: "bn3b1_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b1_branch2c"
	top: "res3b1_branch2c"
	name: "scale3b1_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3a"
	bottom: "res3b1_branch2c"
	top: "res3b1"
	name: "res3b1"
	type: "Eltwise"
}

layer {
	bottom: "res3b1"
	top: "res3b1"
	name: "res3b1_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b1"
	top: "res3b2_branch2a"
	name: "res3b2_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2a"
	top: "res3b2_branch2a"
	name: "bn3b2_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b2_branch2a"
	top: "res3b2_branch2a"
	name: "scale3b2_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b2_branch2a"
	bottom: "res3b2_branch2a"
	name: "res3b2_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b2_branch2a"
	top: "res3b2_branch2b"
	name: "res3b2_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2b"
	top: "res3b2_branch2b"
	name: "bn3b2_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b2_branch2b"
	top: "res3b2_branch2b"
	name: "scale3b2_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b2_branch2b"
	bottom: "res3b2_branch2b"
	name: "res3b2_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b2_branch2b"
	top: "res3b2_branch2c"
	name: "res3b2_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2c"
	top: "res3b2_branch2c"
	name: "bn3b2_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b2_branch2c"
	top: "res3b2_branch2c"
	name: "scale3b2_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b1"
	bottom: "res3b2_branch2c"
	top: "res3b2"
	name: "res3b2"
	type: "Eltwise"
}

layer {
	bottom: "res3b2"
	top: "res3b2"
	name: "res3b2_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b2"
	top: "res3b3_branch2a"
	name: "res3b3_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2a"
	top: "res3b3_branch2a"
	name: "bn3b3_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b3_branch2a"
	top: "res3b3_branch2a"
	name: "scale3b3_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b3_branch2a"
	bottom: "res3b3_branch2a"
	name: "res3b3_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b3_branch2a"
	top: "res3b3_branch2b"
	name: "res3b3_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2b"
	top: "res3b3_branch2b"
	name: "bn3b3_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b3_branch2b"
	top: "res3b3_branch2b"
	name: "scale3b3_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b3_branch2b"
	bottom: "res3b3_branch2b"
	name: "res3b3_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b3_branch2b"
	top: "res3b3_branch2c"
	name: "res3b3_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2c"
	top: "res3b3_branch2c"
	name: "bn3b3_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b3_branch2c"
	top: "res3b3_branch2c"
	name: "scale3b3_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b2"
	bottom: "res3b3_branch2c"
	top: "res3b3"
	name: "res3b3"
	type: "Eltwise"
}

layer {
	bottom: "res3b3"
	top: "res3b3"
	name: "res3b3_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b3"
	top: "res3b4_branch2a"
	name: "res3b4_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b4_branch2a"
	top: "res3b4_branch2a"
	name: "bn3b4_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b4_branch2a"
	top: "res3b4_branch2a"
	name: "scale3b4_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b4_branch2a"
	bottom: "res3b4_branch2a"
	name: "res3b4_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b4_branch2a"
	top: "res3b4_branch2b"
	name: "res3b4_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b4_branch2b"
	top: "res3b4_branch2b"
	name: "bn3b4_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b4_branch2b"
	top: "res3b4_branch2b"
	name: "scale3b4_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b4_branch2b"
	bottom: "res3b4_branch2b"
	name: "res3b4_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b4_branch2b"
	top: "res3b4_branch2c"
	name: "res3b4_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b4_branch2c"
	top: "res3b4_branch2c"
	name: "bn3b4_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b4_branch2c"
	top: "res3b4_branch2c"
	name: "scale3b4_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b3"
	bottom: "res3b4_branch2c"
	top: "res3b4"
	name: "res3b4"
	type: "Eltwise"
}

layer {
	bottom: "res3b4"
	top: "res3b4"
	name: "res3b4_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b4"
	top: "res3b5_branch2a"
	name: "res3b5_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b5_branch2a"
	top: "res3b5_branch2a"
	name: "bn3b5_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b5_branch2a"
	top: "res3b5_branch2a"
	name: "scale3b5_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b5_branch2a"
	bottom: "res3b5_branch2a"
	name: "res3b5_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b5_branch2a"
	top: "res3b5_branch2b"
	name: "res3b5_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b5_branch2b"
	top: "res3b5_branch2b"
	name: "bn3b5_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b5_branch2b"
	top: "res3b5_branch2b"
	name: "scale3b5_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b5_branch2b"
	bottom: "res3b5_branch2b"
	name: "res3b5_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b5_branch2b"
	top: "res3b5_branch2c"
	name: "res3b5_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b5_branch2c"
	top: "res3b5_branch2c"
	name: "bn3b5_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b5_branch2c"
	top: "res3b5_branch2c"
	name: "scale3b5_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b4"
	bottom: "res3b5_branch2c"
	top: "res3b5"
	name: "res3b5"
	type: "Eltwise"
}

layer {
	bottom: "res3b5"
	top: "res3b5"
	name: "res3b5_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b5"
	top: "res3b6_branch2a"
	name: "res3b6_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b6_branch2a"
	top: "res3b6_branch2a"
	name: "bn3b6_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b6_branch2a"
	top: "res3b6_branch2a"
	name: "scale3b6_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b6_branch2a"
	bottom: "res3b6_branch2a"
	name: "res3b6_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b6_branch2a"
	top: "res3b6_branch2b"
	name: "res3b6_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b6_branch2b"
	top: "res3b6_branch2b"
	name: "bn3b6_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b6_branch2b"
	top: "res3b6_branch2b"
	name: "scale3b6_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b6_branch2b"
	bottom: "res3b6_branch2b"
	name: "res3b6_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b6_branch2b"
	top: "res3b6_branch2c"
	name: "res3b6_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b6_branch2c"
	top: "res3b6_branch2c"
	name: "bn3b6_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b6_branch2c"
	top: "res3b6_branch2c"
	name: "scale3b6_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b5"
	bottom: "res3b6_branch2c"
	top: "res3b6"
	name: "res3b6"
	type: "Eltwise"
}

layer {
	bottom: "res3b6"
	top: "res3b6"
	name: "res3b6_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b6"
	top: "res3b7_branch2a"
	name: "res3b7_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b7_branch2a"
	top: "res3b7_branch2a"
	name: "bn3b7_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b7_branch2a"
	top: "res3b7_branch2a"
	name: "scale3b7_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b7_branch2a"
	bottom: "res3b7_branch2a"
	name: "res3b7_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b7_branch2a"
	top: "res3b7_branch2b"
	name: "res3b7_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b7_branch2b"
	top: "res3b7_branch2b"
	name: "bn3b7_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b7_branch2b"
	top: "res3b7_branch2b"
	name: "scale3b7_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res3b7_branch2b"
	bottom: "res3b7_branch2b"
	name: "res3b7_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b7_branch2b"
	top: "res3b7_branch2c"
	name: "res3b7_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b7_branch2c"
	top: "res3b7_branch2c"
	name: "bn3b7_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res3b7_branch2c"
	top: "res3b7_branch2c"
	name: "scale3b7_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b6"
	bottom: "res3b7_branch2c"
	top: "res3b7"
	name: "res3b7"
	type: "Eltwise"
}

layer {
	bottom: "res3b7"
	top: "res3b7"
	name: "res3b7_relu"
	type: "ReLU"
}

layer {
	bottom: "res3b7"
	top: "res4a_branch1"
	name: "res4a_branch1"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch1"
	top: "res4a_branch1"
	name: "bn4a_branch1"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4a_branch1"
	top: "res4a_branch1"
	name: "scale4a_branch1"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res3b7"
	top: "res4a_branch2a"
	name: "res4a_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2a"
	top: "res4a_branch2a"
	name: "bn4a_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4a_branch2a"
	top: "res4a_branch2a"
	name: "scale4a_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4a_branch2a"
	bottom: "res4a_branch2a"
	name: "res4a_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4a_branch2a"
	top: "res4a_branch2b"
	name: "res4a_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2b"
	top: "res4a_branch2b"
	name: "bn4a_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4a_branch2b"
	top: "res4a_branch2b"
	name: "scale4a_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4a_branch2b"
	bottom: "res4a_branch2b"
	name: "res4a_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4a_branch2b"
	top: "res4a_branch2c"
	name: "res4a_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2c"
	top: "res4a_branch2c"
	name: "bn4a_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4a_branch2c"
	top: "res4a_branch2c"
	name: "scale4a_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4a_branch1"
	bottom: "res4a_branch2c"
	top: "res4a"
	name: "res4a"
	type: "Eltwise"
}

layer {
	bottom: "res4a"
	top: "res4a"
	name: "res4a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4a"
	top: "res4b1_branch2a"
	name: "res4b1_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2a"
	top: "res4b1_branch2a"
	name: "bn4b1_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b1_branch2a"
	top: "res4b1_branch2a"
	name: "scale4b1_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b1_branch2a"
	bottom: "res4b1_branch2a"
	name: "res4b1_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b1_branch2a"
	top: "res4b1_branch2b"
	name: "res4b1_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2b"
	top: "res4b1_branch2b"
	name: "bn4b1_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b1_branch2b"
	top: "res4b1_branch2b"
	name: "scale4b1_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b1_branch2b"
	bottom: "res4b1_branch2b"
	name: "res4b1_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b1_branch2b"
	top: "res4b1_branch2c"
	name: "res4b1_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2c"
	top: "res4b1_branch2c"
	name: "bn4b1_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b1_branch2c"
	top: "res4b1_branch2c"
	name: "scale4b1_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4a"
	bottom: "res4b1_branch2c"
	top: "res4b1"
	name: "res4b1"
	type: "Eltwise"
}

layer {
	bottom: "res4b1"
	top: "res4b1"
	name: "res4b1_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b1"
	top: "res4b2_branch2a"
	name: "res4b2_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2a"
	top: "res4b2_branch2a"
	name: "bn4b2_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b2_branch2a"
	top: "res4b2_branch2a"
	name: "scale4b2_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b2_branch2a"
	bottom: "res4b2_branch2a"
	name: "res4b2_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b2_branch2a"
	top: "res4b2_branch2b"
	name: "res4b2_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2b"
	top: "res4b2_branch2b"
	name: "bn4b2_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b2_branch2b"
	top: "res4b2_branch2b"
	name: "scale4b2_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b2_branch2b"
	bottom: "res4b2_branch2b"
	name: "res4b2_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b2_branch2b"
	top: "res4b2_branch2c"
	name: "res4b2_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2c"
	top: "res4b2_branch2c"
	name: "bn4b2_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b2_branch2c"
	top: "res4b2_branch2c"
	name: "scale4b2_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b1"
	bottom: "res4b2_branch2c"
	top: "res4b2"
	name: "res4b2"
	type: "Eltwise"
}

layer {
	bottom: "res4b2"
	top: "res4b2"
	name: "res4b2_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b2"
	top: "res4b3_branch2a"
	name: "res4b3_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2a"
	top: "res4b3_branch2a"
	name: "bn4b3_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b3_branch2a"
	top: "res4b3_branch2a"
	name: "scale4b3_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b3_branch2a"
	bottom: "res4b3_branch2a"
	name: "res4b3_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b3_branch2a"
	top: "res4b3_branch2b"
	name: "res4b3_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2b"
	top: "res4b3_branch2b"
	name: "bn4b3_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b3_branch2b"
	top: "res4b3_branch2b"
	name: "scale4b3_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b3_branch2b"
	bottom: "res4b3_branch2b"
	name: "res4b3_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b3_branch2b"
	top: "res4b3_branch2c"
	name: "res4b3_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2c"
	top: "res4b3_branch2c"
	name: "bn4b3_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b3_branch2c"
	top: "res4b3_branch2c"
	name: "scale4b3_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b2"
	bottom: "res4b3_branch2c"
	top: "res4b3"
	name: "res4b3"
	type: "Eltwise"
}

layer {
	bottom: "res4b3"
	top: "res4b3"
	name: "res4b3_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b3"
	top: "res4b4_branch2a"
	name: "res4b4_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2a"
	top: "res4b4_branch2a"
	name: "bn4b4_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b4_branch2a"
	top: "res4b4_branch2a"
	name: "scale4b4_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b4_branch2a"
	bottom: "res4b4_branch2a"
	name: "res4b4_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b4_branch2a"
	top: "res4b4_branch2b"
	name: "res4b4_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2b"
	top: "res4b4_branch2b"
	name: "bn4b4_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b4_branch2b"
	top: "res4b4_branch2b"
	name: "scale4b4_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b4_branch2b"
	bottom: "res4b4_branch2b"
	name: "res4b4_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b4_branch2b"
	top: "res4b4_branch2c"
	name: "res4b4_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2c"
	top: "res4b4_branch2c"
	name: "bn4b4_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b4_branch2c"
	top: "res4b4_branch2c"
	name: "scale4b4_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b3"
	bottom: "res4b4_branch2c"
	top: "res4b4"
	name: "res4b4"
	type: "Eltwise"
}

layer {
	bottom: "res4b4"
	top: "res4b4"
	name: "res4b4_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b4"
	top: "res4b5_branch2a"
	name: "res4b5_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2a"
	top: "res4b5_branch2a"
	name: "bn4b5_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b5_branch2a"
	top: "res4b5_branch2a"
	name: "scale4b5_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b5_branch2a"
	bottom: "res4b5_branch2a"
	name: "res4b5_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b5_branch2a"
	top: "res4b5_branch2b"
	name: "res4b5_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2b"
	top: "res4b5_branch2b"
	name: "bn4b5_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b5_branch2b"
	top: "res4b5_branch2b"
	name: "scale4b5_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b5_branch2b"
	bottom: "res4b5_branch2b"
	name: "res4b5_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b5_branch2b"
	top: "res4b5_branch2c"
	name: "res4b5_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2c"
	top: "res4b5_branch2c"
	name: "bn4b5_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b5_branch2c"
	top: "res4b5_branch2c"
	name: "scale4b5_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b4"
	bottom: "res4b5_branch2c"
	top: "res4b5"
	name: "res4b5"
	type: "Eltwise"
}

layer {
	bottom: "res4b5"
	top: "res4b5"
	name: "res4b5_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b5"
	top: "res4b6_branch2a"
	name: "res4b6_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2a"
	top: "res4b6_branch2a"
	name: "bn4b6_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b6_branch2a"
	top: "res4b6_branch2a"
	name: "scale4b6_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b6_branch2a"
	bottom: "res4b6_branch2a"
	name: "res4b6_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b6_branch2a"
	top: "res4b6_branch2b"
	name: "res4b6_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2b"
	top: "res4b6_branch2b"
	name: "bn4b6_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b6_branch2b"
	top: "res4b6_branch2b"
	name: "scale4b6_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b6_branch2b"
	bottom: "res4b6_branch2b"
	name: "res4b6_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b6_branch2b"
	top: "res4b6_branch2c"
	name: "res4b6_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2c"
	top: "res4b6_branch2c"
	name: "bn4b6_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b6_branch2c"
	top: "res4b6_branch2c"
	name: "scale4b6_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b5"
	bottom: "res4b6_branch2c"
	top: "res4b6"
	name: "res4b6"
	type: "Eltwise"
}

layer {
	bottom: "res4b6"
	top: "res4b6"
	name: "res4b6_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b6"
	top: "res4b7_branch2a"
	name: "res4b7_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2a"
	top: "res4b7_branch2a"
	name: "bn4b7_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b7_branch2a"
	top: "res4b7_branch2a"
	name: "scale4b7_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b7_branch2a"
	bottom: "res4b7_branch2a"
	name: "res4b7_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b7_branch2a"
	top: "res4b7_branch2b"
	name: "res4b7_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2b"
	top: "res4b7_branch2b"
	name: "bn4b7_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b7_branch2b"
	top: "res4b7_branch2b"
	name: "scale4b7_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b7_branch2b"
	bottom: "res4b7_branch2b"
	name: "res4b7_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b7_branch2b"
	top: "res4b7_branch2c"
	name: "res4b7_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2c"
	top: "res4b7_branch2c"
	name: "bn4b7_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b7_branch2c"
	top: "res4b7_branch2c"
	name: "scale4b7_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b6"
	bottom: "res4b7_branch2c"
	top: "res4b7"
	name: "res4b7"
	type: "Eltwise"
}

layer {
	bottom: "res4b7"
	top: "res4b7"
	name: "res4b7_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b7"
	top: "res4b8_branch2a"
	name: "res4b8_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2a"
	top: "res4b8_branch2a"
	name: "bn4b8_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b8_branch2a"
	top: "res4b8_branch2a"
	name: "scale4b8_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b8_branch2a"
	bottom: "res4b8_branch2a"
	name: "res4b8_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b8_branch2a"
	top: "res4b8_branch2b"
	name: "res4b8_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2b"
	top: "res4b8_branch2b"
	name: "bn4b8_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b8_branch2b"
	top: "res4b8_branch2b"
	name: "scale4b8_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b8_branch2b"
	bottom: "res4b8_branch2b"
	name: "res4b8_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b8_branch2b"
	top: "res4b8_branch2c"
	name: "res4b8_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2c"
	top: "res4b8_branch2c"
	name: "bn4b8_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b8_branch2c"
	top: "res4b8_branch2c"
	name: "scale4b8_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b7"
	bottom: "res4b8_branch2c"
	top: "res4b8"
	name: "res4b8"
	type: "Eltwise"
}

layer {
	bottom: "res4b8"
	top: "res4b8"
	name: "res4b8_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b8"
	top: "res4b9_branch2a"
	name: "res4b9_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2a"
	top: "res4b9_branch2a"
	name: "bn4b9_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b9_branch2a"
	top: "res4b9_branch2a"
	name: "scale4b9_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b9_branch2a"
	bottom: "res4b9_branch2a"
	name: "res4b9_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b9_branch2a"
	top: "res4b9_branch2b"
	name: "res4b9_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2b"
	top: "res4b9_branch2b"
	name: "bn4b9_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b9_branch2b"
	top: "res4b9_branch2b"
	name: "scale4b9_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b9_branch2b"
	bottom: "res4b9_branch2b"
	name: "res4b9_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b9_branch2b"
	top: "res4b9_branch2c"
	name: "res4b9_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2c"
	top: "res4b9_branch2c"
	name: "bn4b9_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b9_branch2c"
	top: "res4b9_branch2c"
	name: "scale4b9_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b8"
	bottom: "res4b9_branch2c"
	top: "res4b9"
	name: "res4b9"
	type: "Eltwise"
}

layer {
	bottom: "res4b9"
	top: "res4b9"
	name: "res4b9_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b9"
	top: "res4b10_branch2a"
	name: "res4b10_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2a"
	top: "res4b10_branch2a"
	name: "bn4b10_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b10_branch2a"
	top: "res4b10_branch2a"
	name: "scale4b10_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b10_branch2a"
	bottom: "res4b10_branch2a"
	name: "res4b10_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b10_branch2a"
	top: "res4b10_branch2b"
	name: "res4b10_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2b"
	top: "res4b10_branch2b"
	name: "bn4b10_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b10_branch2b"
	top: "res4b10_branch2b"
	name: "scale4b10_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b10_branch2b"
	bottom: "res4b10_branch2b"
	name: "res4b10_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b10_branch2b"
	top: "res4b10_branch2c"
	name: "res4b10_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2c"
	top: "res4b10_branch2c"
	name: "bn4b10_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b10_branch2c"
	top: "res4b10_branch2c"
	name: "scale4b10_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b9"
	bottom: "res4b10_branch2c"
	top: "res4b10"
	name: "res4b10"
	type: "Eltwise"
}

layer {
	bottom: "res4b10"
	top: "res4b10"
	name: "res4b10_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b10"
	top: "res4b11_branch2a"
	name: "res4b11_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2a"
	top: "res4b11_branch2a"
	name: "bn4b11_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b11_branch2a"
	top: "res4b11_branch2a"
	name: "scale4b11_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b11_branch2a"
	bottom: "res4b11_branch2a"
	name: "res4b11_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b11_branch2a"
	top: "res4b11_branch2b"
	name: "res4b11_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2b"
	top: "res4b11_branch2b"
	name: "bn4b11_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b11_branch2b"
	top: "res4b11_branch2b"
	name: "scale4b11_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b11_branch2b"
	bottom: "res4b11_branch2b"
	name: "res4b11_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b11_branch2b"
	top: "res4b11_branch2c"
	name: "res4b11_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2c"
	top: "res4b11_branch2c"
	name: "bn4b11_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b11_branch2c"
	top: "res4b11_branch2c"
	name: "scale4b11_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b10"
	bottom: "res4b11_branch2c"
	top: "res4b11"
	name: "res4b11"
	type: "Eltwise"
}

layer {
	bottom: "res4b11"
	top: "res4b11"
	name: "res4b11_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b11"
	top: "res4b12_branch2a"
	name: "res4b12_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2a"
	top: "res4b12_branch2a"
	name: "bn4b12_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b12_branch2a"
	top: "res4b12_branch2a"
	name: "scale4b12_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b12_branch2a"
	bottom: "res4b12_branch2a"
	name: "res4b12_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b12_branch2a"
	top: "res4b12_branch2b"
	name: "res4b12_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2b"
	top: "res4b12_branch2b"
	name: "bn4b12_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b12_branch2b"
	top: "res4b12_branch2b"
	name: "scale4b12_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b12_branch2b"
	bottom: "res4b12_branch2b"
	name: "res4b12_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b12_branch2b"
	top: "res4b12_branch2c"
	name: "res4b12_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2c"
	top: "res4b12_branch2c"
	name: "bn4b12_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b12_branch2c"
	top: "res4b12_branch2c"
	name: "scale4b12_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b11"
	bottom: "res4b12_branch2c"
	top: "res4b12"
	name: "res4b12"
	type: "Eltwise"
}

layer {
	bottom: "res4b12"
	top: "res4b12"
	name: "res4b12_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b12"
	top: "res4b13_branch2a"
	name: "res4b13_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2a"
	top: "res4b13_branch2a"
	name: "bn4b13_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b13_branch2a"
	top: "res4b13_branch2a"
	name: "scale4b13_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b13_branch2a"
	bottom: "res4b13_branch2a"
	name: "res4b13_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b13_branch2a"
	top: "res4b13_branch2b"
	name: "res4b13_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2b"
	top: "res4b13_branch2b"
	name: "bn4b13_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b13_branch2b"
	top: "res4b13_branch2b"
	name: "scale4b13_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b13_branch2b"
	bottom: "res4b13_branch2b"
	name: "res4b13_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b13_branch2b"
	top: "res4b13_branch2c"
	name: "res4b13_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2c"
	top: "res4b13_branch2c"
	name: "bn4b13_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b13_branch2c"
	top: "res4b13_branch2c"
	name: "scale4b13_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b12"
	bottom: "res4b13_branch2c"
	top: "res4b13"
	name: "res4b13"
	type: "Eltwise"
}

layer {
	bottom: "res4b13"
	top: "res4b13"
	name: "res4b13_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b13"
	top: "res4b14_branch2a"
	name: "res4b14_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2a"
	top: "res4b14_branch2a"
	name: "bn4b14_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b14_branch2a"
	top: "res4b14_branch2a"
	name: "scale4b14_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b14_branch2a"
	bottom: "res4b14_branch2a"
	name: "res4b14_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b14_branch2a"
	top: "res4b14_branch2b"
	name: "res4b14_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2b"
	top: "res4b14_branch2b"
	name: "bn4b14_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b14_branch2b"
	top: "res4b14_branch2b"
	name: "scale4b14_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b14_branch2b"
	bottom: "res4b14_branch2b"
	name: "res4b14_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b14_branch2b"
	top: "res4b14_branch2c"
	name: "res4b14_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2c"
	top: "res4b14_branch2c"
	name: "bn4b14_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b14_branch2c"
	top: "res4b14_branch2c"
	name: "scale4b14_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b13"
	bottom: "res4b14_branch2c"
	top: "res4b14"
	name: "res4b14"
	type: "Eltwise"
}

layer {
	bottom: "res4b14"
	top: "res4b14"
	name: "res4b14_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b14"
	top: "res4b15_branch2a"
	name: "res4b15_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2a"
	top: "res4b15_branch2a"
	name: "bn4b15_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b15_branch2a"
	top: "res4b15_branch2a"
	name: "scale4b15_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b15_branch2a"
	bottom: "res4b15_branch2a"
	name: "res4b15_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b15_branch2a"
	top: "res4b15_branch2b"
	name: "res4b15_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2b"
	top: "res4b15_branch2b"
	name: "bn4b15_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b15_branch2b"
	top: "res4b15_branch2b"
	name: "scale4b15_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b15_branch2b"
	bottom: "res4b15_branch2b"
	name: "res4b15_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b15_branch2b"
	top: "res4b15_branch2c"
	name: "res4b15_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2c"
	top: "res4b15_branch2c"
	name: "bn4b15_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b15_branch2c"
	top: "res4b15_branch2c"
	name: "scale4b15_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b14"
	bottom: "res4b15_branch2c"
	top: "res4b15"
	name: "res4b15"
	type: "Eltwise"
}

layer {
	bottom: "res4b15"
	top: "res4b15"
	name: "res4b15_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b15"
	top: "res4b16_branch2a"
	name: "res4b16_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2a"
	top: "res4b16_branch2a"
	name: "bn4b16_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b16_branch2a"
	top: "res4b16_branch2a"
	name: "scale4b16_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b16_branch2a"
	bottom: "res4b16_branch2a"
	name: "res4b16_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b16_branch2a"
	top: "res4b16_branch2b"
	name: "res4b16_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2b"
	top: "res4b16_branch2b"
	name: "bn4b16_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b16_branch2b"
	top: "res4b16_branch2b"
	name: "scale4b16_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b16_branch2b"
	bottom: "res4b16_branch2b"
	name: "res4b16_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b16_branch2b"
	top: "res4b16_branch2c"
	name: "res4b16_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2c"
	top: "res4b16_branch2c"
	name: "bn4b16_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b16_branch2c"
	top: "res4b16_branch2c"
	name: "scale4b16_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b15"
	bottom: "res4b16_branch2c"
	top: "res4b16"
	name: "res4b16"
	type: "Eltwise"
}

layer {
	bottom: "res4b16"
	top: "res4b16"
	name: "res4b16_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b16"
	top: "res4b17_branch2a"
	name: "res4b17_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2a"
	top: "res4b17_branch2a"
	name: "bn4b17_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b17_branch2a"
	top: "res4b17_branch2a"
	name: "scale4b17_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b17_branch2a"
	bottom: "res4b17_branch2a"
	name: "res4b17_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b17_branch2a"
	top: "res4b17_branch2b"
	name: "res4b17_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2b"
	top: "res4b17_branch2b"
	name: "bn4b17_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b17_branch2b"
	top: "res4b17_branch2b"
	name: "scale4b17_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b17_branch2b"
	bottom: "res4b17_branch2b"
	name: "res4b17_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b17_branch2b"
	top: "res4b17_branch2c"
	name: "res4b17_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2c"
	top: "res4b17_branch2c"
	name: "bn4b17_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b17_branch2c"
	top: "res4b17_branch2c"
	name: "scale4b17_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b16"
	bottom: "res4b17_branch2c"
	top: "res4b17"
	name: "res4b17"
	type: "Eltwise"
}

layer {
	bottom: "res4b17"
	top: "res4b17"
	name: "res4b17_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b17"
	top: "res4b18_branch2a"
	name: "res4b18_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2a"
	top: "res4b18_branch2a"
	name: "bn4b18_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b18_branch2a"
	top: "res4b18_branch2a"
	name: "scale4b18_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b18_branch2a"
	bottom: "res4b18_branch2a"
	name: "res4b18_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b18_branch2a"
	top: "res4b18_branch2b"
	name: "res4b18_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2b"
	top: "res4b18_branch2b"
	name: "bn4b18_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b18_branch2b"
	top: "res4b18_branch2b"
	name: "scale4b18_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b18_branch2b"
	bottom: "res4b18_branch2b"
	name: "res4b18_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b18_branch2b"
	top: "res4b18_branch2c"
	name: "res4b18_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2c"
	top: "res4b18_branch2c"
	name: "bn4b18_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b18_branch2c"
	top: "res4b18_branch2c"
	name: "scale4b18_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b17"
	bottom: "res4b18_branch2c"
	top: "res4b18"
	name: "res4b18"
	type: "Eltwise"
}

layer {
	bottom: "res4b18"
	top: "res4b18"
	name: "res4b18_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b18"
	top: "res4b19_branch2a"
	name: "res4b19_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2a"
	top: "res4b19_branch2a"
	name: "bn4b19_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b19_branch2a"
	top: "res4b19_branch2a"
	name: "scale4b19_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b19_branch2a"
	bottom: "res4b19_branch2a"
	name: "res4b19_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b19_branch2a"
	top: "res4b19_branch2b"
	name: "res4b19_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2b"
	top: "res4b19_branch2b"
	name: "bn4b19_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b19_branch2b"
	top: "res4b19_branch2b"
	name: "scale4b19_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b19_branch2b"
	bottom: "res4b19_branch2b"
	name: "res4b19_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b19_branch2b"
	top: "res4b19_branch2c"
	name: "res4b19_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2c"
	top: "res4b19_branch2c"
	name: "bn4b19_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b19_branch2c"
	top: "res4b19_branch2c"
	name: "scale4b19_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b18"
	bottom: "res4b19_branch2c"
	top: "res4b19"
	name: "res4b19"
	type: "Eltwise"
}

layer {
	bottom: "res4b19"
	top: "res4b19"
	name: "res4b19_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b19"
	top: "res4b20_branch2a"
	name: "res4b20_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2a"
	top: "res4b20_branch2a"
	name: "bn4b20_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b20_branch2a"
	top: "res4b20_branch2a"
	name: "scale4b20_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b20_branch2a"
	bottom: "res4b20_branch2a"
	name: "res4b20_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b20_branch2a"
	top: "res4b20_branch2b"
	name: "res4b20_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2b"
	top: "res4b20_branch2b"
	name: "bn4b20_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b20_branch2b"
	top: "res4b20_branch2b"
	name: "scale4b20_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b20_branch2b"
	bottom: "res4b20_branch2b"
	name: "res4b20_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b20_branch2b"
	top: "res4b20_branch2c"
	name: "res4b20_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2c"
	top: "res4b20_branch2c"
	name: "bn4b20_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b20_branch2c"
	top: "res4b20_branch2c"
	name: "scale4b20_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b19"
	bottom: "res4b20_branch2c"
	top: "res4b20"
	name: "res4b20"
	type: "Eltwise"
}

layer {
	bottom: "res4b20"
	top: "res4b20"
	name: "res4b20_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b20"
	top: "res4b21_branch2a"
	name: "res4b21_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2a"
	top: "res4b21_branch2a"
	name: "bn4b21_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b21_branch2a"
	top: "res4b21_branch2a"
	name: "scale4b21_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b21_branch2a"
	bottom: "res4b21_branch2a"
	name: "res4b21_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b21_branch2a"
	top: "res4b21_branch2b"
	name: "res4b21_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2b"
	top: "res4b21_branch2b"
	name: "bn4b21_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b21_branch2b"
	top: "res4b21_branch2b"
	name: "scale4b21_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b21_branch2b"
	bottom: "res4b21_branch2b"
	name: "res4b21_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b21_branch2b"
	top: "res4b21_branch2c"
	name: "res4b21_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2c"
	top: "res4b21_branch2c"
	name: "bn4b21_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b21_branch2c"
	top: "res4b21_branch2c"
	name: "scale4b21_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b20"
	bottom: "res4b21_branch2c"
	top: "res4b21"
	name: "res4b21"
	type: "Eltwise"
}

layer {
	bottom: "res4b21"
	top: "res4b21"
	name: "res4b21_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b21"
	top: "res4b22_branch2a"
	name: "res4b22_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2a"
	top: "res4b22_branch2a"
	name: "bn4b22_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b22_branch2a"
	top: "res4b22_branch2a"
	name: "scale4b22_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b22_branch2a"
	bottom: "res4b22_branch2a"
	name: "res4b22_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b22_branch2a"
	top: "res4b22_branch2b"
	name: "res4b22_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2b"
	top: "res4b22_branch2b"
	name: "bn4b22_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b22_branch2b"
	top: "res4b22_branch2b"
	name: "scale4b22_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b22_branch2b"
	bottom: "res4b22_branch2b"
	name: "res4b22_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b22_branch2b"
	top: "res4b22_branch2c"
	name: "res4b22_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2c"
	top: "res4b22_branch2c"
	name: "bn4b22_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b22_branch2c"
	top: "res4b22_branch2c"
	name: "scale4b22_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b21"
	bottom: "res4b22_branch2c"
	top: "res4b22"
	name: "res4b22"
	type: "Eltwise"
}

layer {
	bottom: "res4b22"
	top: "res4b22"
	name: "res4b22_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b22"
	top: "res4b23_branch2a"
	name: "res4b23_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b23_branch2a"
	top: "res4b23_branch2a"
	name: "bn4b23_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b23_branch2a"
	top: "res4b23_branch2a"
	name: "scale4b23_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b23_branch2a"
	bottom: "res4b23_branch2a"
	name: "res4b23_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b23_branch2a"
	top: "res4b23_branch2b"
	name: "res4b23_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b23_branch2b"
	top: "res4b23_branch2b"
	name: "bn4b23_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b23_branch2b"
	top: "res4b23_branch2b"
	name: "scale4b23_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b23_branch2b"
	bottom: "res4b23_branch2b"
	name: "res4b23_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b23_branch2b"
	top: "res4b23_branch2c"
	name: "res4b23_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b23_branch2c"
	top: "res4b23_branch2c"
	name: "bn4b23_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b23_branch2c"
	top: "res4b23_branch2c"
	name: "scale4b23_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b22"
	bottom: "res4b23_branch2c"
	top: "res4b23"
	name: "res4b23"
	type: "Eltwise"
}

layer {
	bottom: "res4b23"
	top: "res4b23"
	name: "res4b23_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b23"
	top: "res4b24_branch2a"
	name: "res4b24_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b24_branch2a"
	top: "res4b24_branch2a"
	name: "bn4b24_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b24_branch2a"
	top: "res4b24_branch2a"
	name: "scale4b24_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b24_branch2a"
	bottom: "res4b24_branch2a"
	name: "res4b24_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b24_branch2a"
	top: "res4b24_branch2b"
	name: "res4b24_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b24_branch2b"
	top: "res4b24_branch2b"
	name: "bn4b24_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b24_branch2b"
	top: "res4b24_branch2b"
	name: "scale4b24_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b24_branch2b"
	bottom: "res4b24_branch2b"
	name: "res4b24_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b24_branch2b"
	top: "res4b24_branch2c"
	name: "res4b24_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b24_branch2c"
	top: "res4b24_branch2c"
	name: "bn4b24_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b24_branch2c"
	top: "res4b24_branch2c"
	name: "scale4b24_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b23"
	bottom: "res4b24_branch2c"
	top: "res4b24"
	name: "res4b24"
	type: "Eltwise"
}

layer {
	bottom: "res4b24"
	top: "res4b24"
	name: "res4b24_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b24"
	top: "res4b25_branch2a"
	name: "res4b25_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b25_branch2a"
	top: "res4b25_branch2a"
	name: "bn4b25_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b25_branch2a"
	top: "res4b25_branch2a"
	name: "scale4b25_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b25_branch2a"
	bottom: "res4b25_branch2a"
	name: "res4b25_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b25_branch2a"
	top: "res4b25_branch2b"
	name: "res4b25_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b25_branch2b"
	top: "res4b25_branch2b"
	name: "bn4b25_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b25_branch2b"
	top: "res4b25_branch2b"
	name: "scale4b25_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b25_branch2b"
	bottom: "res4b25_branch2b"
	name: "res4b25_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b25_branch2b"
	top: "res4b25_branch2c"
	name: "res4b25_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b25_branch2c"
	top: "res4b25_branch2c"
	name: "bn4b25_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b25_branch2c"
	top: "res4b25_branch2c"
	name: "scale4b25_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b24"
	bottom: "res4b25_branch2c"
	top: "res4b25"
	name: "res4b25"
	type: "Eltwise"
}

layer {
	bottom: "res4b25"
	top: "res4b25"
	name: "res4b25_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b25"
	top: "res4b26_branch2a"
	name: "res4b26_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b26_branch2a"
	top: "res4b26_branch2a"
	name: "bn4b26_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b26_branch2a"
	top: "res4b26_branch2a"
	name: "scale4b26_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b26_branch2a"
	bottom: "res4b26_branch2a"
	name: "res4b26_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b26_branch2a"
	top: "res4b26_branch2b"
	name: "res4b26_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b26_branch2b"
	top: "res4b26_branch2b"
	name: "bn4b26_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b26_branch2b"
	top: "res4b26_branch2b"
	name: "scale4b26_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b26_branch2b"
	bottom: "res4b26_branch2b"
	name: "res4b26_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b26_branch2b"
	top: "res4b26_branch2c"
	name: "res4b26_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b26_branch2c"
	top: "res4b26_branch2c"
	name: "bn4b26_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b26_branch2c"
	top: "res4b26_branch2c"
	name: "scale4b26_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b25"
	bottom: "res4b26_branch2c"
	top: "res4b26"
	name: "res4b26"
	type: "Eltwise"
}

layer {
	bottom: "res4b26"
	top: "res4b26"
	name: "res4b26_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b26"
	top: "res4b27_branch2a"
	name: "res4b27_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b27_branch2a"
	top: "res4b27_branch2a"
	name: "bn4b27_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b27_branch2a"
	top: "res4b27_branch2a"
	name: "scale4b27_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b27_branch2a"
	bottom: "res4b27_branch2a"
	name: "res4b27_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b27_branch2a"
	top: "res4b27_branch2b"
	name: "res4b27_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b27_branch2b"
	top: "res4b27_branch2b"
	name: "bn4b27_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b27_branch2b"
	top: "res4b27_branch2b"
	name: "scale4b27_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b27_branch2b"
	bottom: "res4b27_branch2b"
	name: "res4b27_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b27_branch2b"
	top: "res4b27_branch2c"
	name: "res4b27_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b27_branch2c"
	top: "res4b27_branch2c"
	name: "bn4b27_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b27_branch2c"
	top: "res4b27_branch2c"
	name: "scale4b27_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b26"
	bottom: "res4b27_branch2c"
	top: "res4b27"
	name: "res4b27"
	type: "Eltwise"
}

layer {
	bottom: "res4b27"
	top: "res4b27"
	name: "res4b27_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b27"
	top: "res4b28_branch2a"
	name: "res4b28_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b28_branch2a"
	top: "res4b28_branch2a"
	name: "bn4b28_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b28_branch2a"
	top: "res4b28_branch2a"
	name: "scale4b28_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b28_branch2a"
	bottom: "res4b28_branch2a"
	name: "res4b28_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b28_branch2a"
	top: "res4b28_branch2b"
	name: "res4b28_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b28_branch2b"
	top: "res4b28_branch2b"
	name: "bn4b28_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b28_branch2b"
	top: "res4b28_branch2b"
	name: "scale4b28_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b28_branch2b"
	bottom: "res4b28_branch2b"
	name: "res4b28_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b28_branch2b"
	top: "res4b28_branch2c"
	name: "res4b28_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b28_branch2c"
	top: "res4b28_branch2c"
	name: "bn4b28_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b28_branch2c"
	top: "res4b28_branch2c"
	name: "scale4b28_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b27"
	bottom: "res4b28_branch2c"
	top: "res4b28"
	name: "res4b28"
	type: "Eltwise"
}

layer {
	bottom: "res4b28"
	top: "res4b28"
	name: "res4b28_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b28"
	top: "res4b29_branch2a"
	name: "res4b29_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b29_branch2a"
	top: "res4b29_branch2a"
	name: "bn4b29_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b29_branch2a"
	top: "res4b29_branch2a"
	name: "scale4b29_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b29_branch2a"
	bottom: "res4b29_branch2a"
	name: "res4b29_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b29_branch2a"
	top: "res4b29_branch2b"
	name: "res4b29_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b29_branch2b"
	top: "res4b29_branch2b"
	name: "bn4b29_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b29_branch2b"
	top: "res4b29_branch2b"
	name: "scale4b29_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b29_branch2b"
	bottom: "res4b29_branch2b"
	name: "res4b29_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b29_branch2b"
	top: "res4b29_branch2c"
	name: "res4b29_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b29_branch2c"
	top: "res4b29_branch2c"
	name: "bn4b29_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b29_branch2c"
	top: "res4b29_branch2c"
	name: "scale4b29_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b28"
	bottom: "res4b29_branch2c"
	top: "res4b29"
	name: "res4b29"
	type: "Eltwise"
}

layer {
	bottom: "res4b29"
	top: "res4b29"
	name: "res4b29_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b29"
	top: "res4b30_branch2a"
	name: "res4b30_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b30_branch2a"
	top: "res4b30_branch2a"
	name: "bn4b30_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b30_branch2a"
	top: "res4b30_branch2a"
	name: "scale4b30_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b30_branch2a"
	bottom: "res4b30_branch2a"
	name: "res4b30_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b30_branch2a"
	top: "res4b30_branch2b"
	name: "res4b30_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b30_branch2b"
	top: "res4b30_branch2b"
	name: "bn4b30_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b30_branch2b"
	top: "res4b30_branch2b"
	name: "scale4b30_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b30_branch2b"
	bottom: "res4b30_branch2b"
	name: "res4b30_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b30_branch2b"
	top: "res4b30_branch2c"
	name: "res4b30_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b30_branch2c"
	top: "res4b30_branch2c"
	name: "bn4b30_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b30_branch2c"
	top: "res4b30_branch2c"
	name: "scale4b30_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b29"
	bottom: "res4b30_branch2c"
	top: "res4b30"
	name: "res4b30"
	type: "Eltwise"
}

layer {
	bottom: "res4b30"
	top: "res4b30"
	name: "res4b30_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b30"
	top: "res4b31_branch2a"
	name: "res4b31_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b31_branch2a"
	top: "res4b31_branch2a"
	name: "bn4b31_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b31_branch2a"
	top: "res4b31_branch2a"
	name: "scale4b31_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b31_branch2a"
	bottom: "res4b31_branch2a"
	name: "res4b31_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b31_branch2a"
	top: "res4b31_branch2b"
	name: "res4b31_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b31_branch2b"
	top: "res4b31_branch2b"
	name: "bn4b31_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b31_branch2b"
	top: "res4b31_branch2b"
	name: "scale4b31_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b31_branch2b"
	bottom: "res4b31_branch2b"
	name: "res4b31_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b31_branch2b"
	top: "res4b31_branch2c"
	name: "res4b31_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b31_branch2c"
	top: "res4b31_branch2c"
	name: "bn4b31_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b31_branch2c"
	top: "res4b31_branch2c"
	name: "scale4b31_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b30"
	bottom: "res4b31_branch2c"
	top: "res4b31"
	name: "res4b31"
	type: "Eltwise"
}

layer {
	bottom: "res4b31"
	top: "res4b31"
	name: "res4b31_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b31"
	top: "res4b32_branch2a"
	name: "res4b32_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b32_branch2a"
	top: "res4b32_branch2a"
	name: "bn4b32_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b32_branch2a"
	top: "res4b32_branch2a"
	name: "scale4b32_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b32_branch2a"
	bottom: "res4b32_branch2a"
	name: "res4b32_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b32_branch2a"
	top: "res4b32_branch2b"
	name: "res4b32_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b32_branch2b"
	top: "res4b32_branch2b"
	name: "bn4b32_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b32_branch2b"
	top: "res4b32_branch2b"
	name: "scale4b32_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b32_branch2b"
	bottom: "res4b32_branch2b"
	name: "res4b32_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b32_branch2b"
	top: "res4b32_branch2c"
	name: "res4b32_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b32_branch2c"
	top: "res4b32_branch2c"
	name: "bn4b32_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b32_branch2c"
	top: "res4b32_branch2c"
	name: "scale4b32_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b31"
	bottom: "res4b32_branch2c"
	top: "res4b32"
	name: "res4b32"
	type: "Eltwise"
}

layer {
	bottom: "res4b32"
	top: "res4b32"
	name: "res4b32_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b32"
	top: "res4b33_branch2a"
	name: "res4b33_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b33_branch2a"
	top: "res4b33_branch2a"
	name: "bn4b33_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b33_branch2a"
	top: "res4b33_branch2a"
	name: "scale4b33_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b33_branch2a"
	bottom: "res4b33_branch2a"
	name: "res4b33_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b33_branch2a"
	top: "res4b33_branch2b"
	name: "res4b33_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b33_branch2b"
	top: "res4b33_branch2b"
	name: "bn4b33_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b33_branch2b"
	top: "res4b33_branch2b"
	name: "scale4b33_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b33_branch2b"
	bottom: "res4b33_branch2b"
	name: "res4b33_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b33_branch2b"
	top: "res4b33_branch2c"
	name: "res4b33_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b33_branch2c"
	top: "res4b33_branch2c"
	name: "bn4b33_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b33_branch2c"
	top: "res4b33_branch2c"
	name: "scale4b33_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b32"
	bottom: "res4b33_branch2c"
	top: "res4b33"
	name: "res4b33"
	type: "Eltwise"
}

layer {
	bottom: "res4b33"
	top: "res4b33"
	name: "res4b33_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b33"
	top: "res4b34_branch2a"
	name: "res4b34_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b34_branch2a"
	top: "res4b34_branch2a"
	name: "bn4b34_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b34_branch2a"
	top: "res4b34_branch2a"
	name: "scale4b34_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b34_branch2a"
	bottom: "res4b34_branch2a"
	name: "res4b34_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b34_branch2a"
	top: "res4b34_branch2b"
	name: "res4b34_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b34_branch2b"
	top: "res4b34_branch2b"
	name: "bn4b34_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b34_branch2b"
	top: "res4b34_branch2b"
	name: "scale4b34_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b34_branch2b"
	bottom: "res4b34_branch2b"
	name: "res4b34_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b34_branch2b"
	top: "res4b34_branch2c"
	name: "res4b34_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b34_branch2c"
	top: "res4b34_branch2c"
	name: "bn4b34_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b34_branch2c"
	top: "res4b34_branch2c"
	name: "scale4b34_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b33"
	bottom: "res4b34_branch2c"
	top: "res4b34"
	name: "res4b34"
	type: "Eltwise"
}

layer {
	bottom: "res4b34"
	top: "res4b34"
	name: "res4b34_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b34"
	top: "res4b35_branch2a"
	name: "res4b35_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b35_branch2a"
	top: "res4b35_branch2a"
	name: "bn4b35_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b35_branch2a"
	top: "res4b35_branch2a"
	name: "scale4b35_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b35_branch2a"
	bottom: "res4b35_branch2a"
	name: "res4b35_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b35_branch2a"
	top: "res4b35_branch2b"
	name: "res4b35_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b35_branch2b"
	top: "res4b35_branch2b"
	name: "bn4b35_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b35_branch2b"
	top: "res4b35_branch2b"
	name: "scale4b35_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res4b35_branch2b"
	bottom: "res4b35_branch2b"
	name: "res4b35_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b35_branch2b"
	top: "res4b35_branch2c"
	name: "res4b35_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b35_branch2c"
	top: "res4b35_branch2c"
	name: "bn4b35_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res4b35_branch2c"
	top: "res4b35_branch2c"
	name: "scale4b35_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b34"
	bottom: "res4b35_branch2c"
	top: "res4b35"
	name: "res4b35"
	type: "Eltwise"
}

layer {
	bottom: "res4b35"
	top: "res4b35"
	name: "res4b35_relu"
	type: "ReLU"
}

layer {
	bottom: "res4b35"
	top: "res5a_branch1"
	name: "res5a_branch1"
	type: "Convolution"
	convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch1"
	top: "res5a_branch1"
	name: "bn5a_branch1"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5a_branch1"
	top: "res5a_branch1"
	name: "scale5a_branch1"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res4b35"
	top: "res5a_branch2a"
	name: "res5a_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2a"
	top: "res5a_branch2a"
	name: "bn5a_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5a_branch2a"
	top: "res5a_branch2a"
	name: "scale5a_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res5a_branch2a"
	bottom: "res5a_branch2a"
	name: "res5a_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res5a_branch2a"
	top: "res5a_branch2b"
	name: "res5a_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2b"
	top: "res5a_branch2b"
	name: "bn5a_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5a_branch2b"
	top: "res5a_branch2b"
	name: "scale5a_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res5a_branch2b"
	bottom: "res5a_branch2b"
	name: "res5a_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res5a_branch2b"
	top: "res5a_branch2c"
	name: "res5a_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2c"
	top: "res5a_branch2c"
	name: "bn5a_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5a_branch2c"
	top: "res5a_branch2c"
	name: "scale5a_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res5a_branch1"
	bottom: "res5a_branch2c"
	top: "res5a"
	name: "res5a"
	type: "Eltwise"
}

layer {
	bottom: "res5a"
	top: "res5a"
	name: "res5a_relu"
	type: "ReLU"
}

layer {
	bottom: "res5a"
	top: "res5b_branch2a"
	name: "res5b_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2a"
	top: "res5b_branch2a"
	name: "bn5b_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5b_branch2a"
	top: "res5b_branch2a"
	name: "scale5b_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res5b_branch2a"
	bottom: "res5b_branch2a"
	name: "res5b_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res5b_branch2a"
	top: "res5b_branch2b"
	name: "res5b_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2b"
	top: "res5b_branch2b"
	name: "bn5b_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5b_branch2b"
	top: "res5b_branch2b"
	name: "scale5b_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res5b_branch2b"
	bottom: "res5b_branch2b"
	name: "res5b_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res5b_branch2b"
	top: "res5b_branch2c"
	name: "res5b_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2c"
	top: "res5b_branch2c"
	name: "bn5b_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5b_branch2c"
	top: "res5b_branch2c"
	name: "scale5b_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res5a"
	bottom: "res5b_branch2c"
	top: "res5b"
	name: "res5b"
	type: "Eltwise"
}

layer {
	bottom: "res5b"
	top: "res5b"
	name: "res5b_relu"
	type: "ReLU"
}

layer {
	bottom: "res5b"
	top: "res5c_branch2a"
	name: "res5c_branch2a"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2a"
	top: "res5c_branch2a"
	name: "bn5c_branch2a"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5c_branch2a"
	top: "res5c_branch2a"
	name: "scale5c_branch2a"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res5c_branch2a"
	bottom: "res5c_branch2a"
	name: "res5c_branch2a_relu"
	type: "ReLU"
}

layer {
	bottom: "res5c_branch2a"
	top: "res5c_branch2b"
	name: "res5c_branch2b"
	type: "Convolution"
	convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2b"
	top: "res5c_branch2b"
	name: "bn5c_branch2b"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5c_branch2b"
	top: "res5c_branch2b"
	name: "scale5c_branch2b"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	top: "res5c_branch2b"
	bottom: "res5c_branch2b"
	name: "res5c_branch2b_relu"
	type: "ReLU"
}

layer {
	bottom: "res5c_branch2b"
	top: "res5c_branch2c"
	name: "res5c_branch2c"
	type: "Convolution"
	convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2c"
	top: "res5c_branch2c"
	name: "bn5c_branch2c"
	type: "BatchNorm"
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }
  param {
    lr_mult: 0.0
  }

}

layer {
	bottom: "res5c_branch2c"
	top: "res5c_branch2c"
	name: "scale5c_branch2c"
type: "Scale"
  scale_param {

    bias_term: true
  }
}

layer {
	bottom: "res5b"
	bottom: "res5c_branch2c"
	top: "res5c"
	name: "res5c"
	type: "Eltwise"
}

layer {
	bottom: "res5c"
	top: "res5c"
	name: "res5c_relu"
	type: "ReLU"
}

layer {
	bottom: "res5c"
	top: "pool5"
	name: "pool5"
	type: "Pooling"
	pooling_param {
		kernel_size: 7
		stride: 1
		pool: AVE
	}
}
layer {
  name: "fc1365"
  type: "InnerProduct"
  bottom: "pool5"
  top: "fc1365"
  param {
    lr_mult: 1.0
    decay_mult: 1.0
  }
  param {
    lr_mult: 2.0
    decay_mult: 0.0
  }
  inner_product_param {
    num_output: 1365
  }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc1365"
  top: "prob"
}