deploy.prototxt

name: "ResNet101"

input: "data"
input_dim: 1
input_dim: 3
input_dim: 321
input_dim: 321

### shrink data ###
layer {
  bottom: "data"
  top: "data_res05"
  name: "data_res05"
  type: "Interp"
  interp_param {
    shrink_factor: 2
    pad_beg: 0
    pad_end: 0
  }
}
layer {
  bottom: "data"
  top: "data_res075"
  name: "data_res075"
  type: "Interp"
  interp_param {
    shrink_factor: 4
    zoom_factor: 3
    pad_beg: 0
    pad_end: 0
  }
}

###################### resolution 1 #####################
layer {
	bottom: "data"
	top: "conv1"
	name: "conv1"
	type: "Convolution"
	param {
		name: "conv1_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn_conv1_0"
	      lr_mult: 0
	}
	param {
		name: "bn_conv1_1"
	      lr_mult: 0
        }
	param {
		name: "bn_conv1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "conv1"
	top: "conv1"
	name: "scale_conv1"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale_conv1_0"
	      lr_mult: 0
	}
	param {
		name: "scale_conv1_1"
	      lr_mult: 0
	}
}

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
		pad: 1
		pool: MAX
	}
}

layer {
	bottom: "pool1"
	top: "res2a_branch1"
	name: "res2a_branch1"
	type: "Convolution"
	param {
		name: "res2a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch1"
	top: "res2a_branch1"
	name: "scale2a_branch1"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "pool1"
	top: "res2a_branch2a"
	name: "res2a_branch2a"
	type: "Convolution"
	param {
		name: "res2a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2a"
	top: "res2a_branch2a"
	name: "scale2a_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2b"
	top: "res2a_branch2b"
	name: "scale2a_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2c"
	top: "res2a_branch2c"
	name: "scale2a_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2b_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2a"
	top: "res2b_branch2a"
	name: "scale2b_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2b_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2b"
	top: "res2b_branch2b"
	name: "scale2b_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2b_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2c"
	top: "res2b_branch2c"
	name: "scale2b_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2c_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2a"
	top: "res2c_branch2a"
	name: "scale2c_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2c_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2b"
	top: "res2c_branch2b"
	name: "scale2c_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res2c_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2c"
	top: "res2c_branch2c"
	name: "scale2c_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch1"
	top: "res3a_branch1"
	name: "scale3a_branch1"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2c"
	top: "res3a_branch2a"
	name: "res3a_branch2a"
	type: "Convolution"
	param {
		name: "res3a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2a"
	top: "res3a_branch2a"
	name: "scale3a_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2b"
	top: "res3a_branch2b"
	name: "scale3a_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2c"
	top: "res3a_branch2c"
	name: "scale3a_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b1_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2a"
	top: "res3b1_branch2a"
	name: "scale3b1_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b1_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2b"
	top: "res3b1_branch2b"
	name: "scale3b1_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b1_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2c"
	top: "res3b1_branch2c"
	name: "scale3b1_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b2_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2a"
	top: "res3b2_branch2a"
	name: "scale3b2_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b2_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2b"
	top: "res3b2_branch2b"
	name: "scale3b2_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b2_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2c"
	top: "res3b2_branch2c"
	name: "scale3b2_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b3_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2a"
	top: "res3b3_branch2a"
	name: "scale3b3_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b3_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2b"
	top: "res3b3_branch2b"
	name: "scale3b3_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res3b3_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2c"
	top: "res3b3_branch2c"
	name: "scale3b3_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2c_1"
	      lr_mult: 0
	}
}

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: "res4a_branch1"
	name: "res4a_branch1"
	type: "Convolution"
	param {
		name: "res4a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch1"
	top: "res4a_branch1"
	name: "bn4a_branch1"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch1"
	top: "res4a_branch1"
	name: "scale4a_branch1"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b3"
	top: "res4a_branch2a"
	name: "res4a_branch2a"
	type: "Convolution"
	param {
		name: "res4a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2a"
	top: "res4a_branch2a"
	name: "bn4a_branch2a"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2a"
	top: "res4a_branch2a"
	name: "scale4a_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2b"
	top: "res4a_branch2b"
	name: "bn4a_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2b"
	top: "res4a_branch2b"
	name: "scale4a_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2c"
	top: "res4a_branch2c"
	name: "scale4a_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b1_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2a"
	top: "res4b1_branch2a"
	name: "scale4b1_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b1_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2b"
	top: "res4b1_branch2b"
	name: "bn4b1_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2b"
	top: "res4b1_branch2b"
	name: "scale4b1_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b1_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2c"
	top: "res4b1_branch2c"
	name: "scale4b1_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b2_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2a"
	top: "res4b2_branch2a"
	name: "scale4b2_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b2_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2b"
	top: "res4b2_branch2b"
	name: "bn4b2_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2b"
	top: "res4b2_branch2b"
	name: "scale4b2_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b2_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2c"
	top: "res4b2_branch2c"
	name: "scale4b2_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b3_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2a"
	top: "res4b3_branch2a"
	name: "scale4b3_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b3_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2b"
	top: "res4b3_branch2b"
	name: "bn4b3_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2b"
	top: "res4b3_branch2b"
	name: "scale4b3_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b3_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2c"
	top: "res4b3_branch2c"
	name: "scale4b3_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b4_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2a"
	top: "res4b4_branch2a"
	name: "scale4b4_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b4_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2b"
	top: "res4b4_branch2b"
	name: "bn4b4_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2b"
	top: "res4b4_branch2b"
	name: "scale4b4_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b4_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2c"
	top: "res4b4_branch2c"
	name: "scale4b4_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b5_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2a"
	top: "res4b5_branch2a"
	name: "scale4b5_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b5_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2b"
	top: "res4b5_branch2b"
	name: "bn4b5_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2b"
	top: "res4b5_branch2b"
	name: "scale4b5_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b5_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2c"
	top: "res4b5_branch2c"
	name: "scale4b5_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b6_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2a"
	top: "res4b6_branch2a"
	name: "scale4b6_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b6_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2b"
	top: "res4b6_branch2b"
	name: "bn4b6_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2b"
	top: "res4b6_branch2b"
	name: "scale4b6_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b6_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2c"
	top: "res4b6_branch2c"
	name: "scale4b6_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b7_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2a"
	top: "res4b7_branch2a"
	name: "scale4b7_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b7_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2b"
	top: "res4b7_branch2b"
	name: "bn4b7_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2b"
	top: "res4b7_branch2b"
	name: "scale4b7_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b7_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2c"
	top: "res4b7_branch2c"
	name: "scale4b7_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b8_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2a"
	top: "res4b8_branch2a"
	name: "scale4b8_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b8_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2b"
	top: "res4b8_branch2b"
	name: "bn4b8_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2b"
	top: "res4b8_branch2b"
	name: "scale4b8_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b8_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2c"
	top: "res4b8_branch2c"
	name: "scale4b8_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b9_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2a"
	top: "res4b9_branch2a"
	name: "scale4b9_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b9_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2b"
	top: "res4b9_branch2b"
	name: "bn4b9_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2b"
	top: "res4b9_branch2b"
	name: "scale4b9_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b9_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2c"
	top: "res4b9_branch2c"
	name: "scale4b9_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b10_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2a"
	top: "res4b10_branch2a"
	name: "scale4b10_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b10_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2b"
	top: "res4b10_branch2b"
	name: "bn4b10_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2b"
	top: "res4b10_branch2b"
	name: "scale4b10_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b10_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2c"
	top: "res4b10_branch2c"
	name: "scale4b10_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b11_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2a"
	top: "res4b11_branch2a"
	name: "scale4b11_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b11_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2b"
	top: "res4b11_branch2b"
	name: "bn4b11_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2b"
	top: "res4b11_branch2b"
	name: "scale4b11_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b11_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2c"
	top: "res4b11_branch2c"
	name: "scale4b11_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b12_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2a"
	top: "res4b12_branch2a"
	name: "scale4b12_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b12_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2b"
	top: "res4b12_branch2b"
	name: "bn4b12_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2b"
	top: "res4b12_branch2b"
	name: "scale4b12_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b12_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2c"
	top: "res4b12_branch2c"
	name: "scale4b12_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b13_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2a"
	top: "res4b13_branch2a"
	name: "scale4b13_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b13_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2b"
	top: "res4b13_branch2b"
	name: "bn4b13_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2b"
	top: "res4b13_branch2b"
	name: "scale4b13_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b13_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2c"
	top: "res4b13_branch2c"
	name: "scale4b13_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b14_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2a"
	top: "res4b14_branch2a"
	name: "scale4b14_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b14_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2b"
	top: "res4b14_branch2b"
	name: "bn4b14_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2b"
	top: "res4b14_branch2b"
	name: "scale4b14_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b14_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2c"
	top: "res4b14_branch2c"
	name: "scale4b14_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b15_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2a"
	top: "res4b15_branch2a"
	name: "scale4b15_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b15_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2b"
	top: "res4b15_branch2b"
	name: "bn4b15_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2b"
	top: "res4b15_branch2b"
	name: "scale4b15_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b15_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2c"
	top: "res4b15_branch2c"
	name: "scale4b15_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b16_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2a"
	top: "res4b16_branch2a"
	name: "scale4b16_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b16_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2b"
	top: "res4b16_branch2b"
	name: "bn4b16_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2b"
	top: "res4b16_branch2b"
	name: "scale4b16_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b16_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2c"
	top: "res4b16_branch2c"
	name: "scale4b16_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b17_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2a"
	top: "res4b17_branch2a"
	name: "scale4b17_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b17_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2b"
	top: "res4b17_branch2b"
	name: "bn4b17_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2b"
	top: "res4b17_branch2b"
	name: "scale4b17_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b17_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2c"
	top: "res4b17_branch2c"
	name: "scale4b17_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b18_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2a"
	top: "res4b18_branch2a"
	name: "scale4b18_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b18_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2b"
	top: "res4b18_branch2b"
	name: "bn4b18_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2b"
	top: "res4b18_branch2b"
	name: "scale4b18_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b18_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2c"
	top: "res4b18_branch2c"
	name: "scale4b18_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b19_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2a"
	top: "res4b19_branch2a"
	name: "scale4b19_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b19_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2b"
	top: "res4b19_branch2b"
	name: "bn4b19_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2b"
	top: "res4b19_branch2b"
	name: "scale4b19_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b19_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2c"
	top: "res4b19_branch2c"
	name: "scale4b19_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b20_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2a"
	top: "res4b20_branch2a"
	name: "scale4b20_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b20_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2b"
	top: "res4b20_branch2b"
	name: "bn4b20_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2b"
	top: "res4b20_branch2b"
	name: "scale4b20_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b20_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2c"
	top: "res4b20_branch2c"
	name: "scale4b20_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b21_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2a"
	top: "res4b21_branch2a"
	name: "scale4b21_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b21_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2b"
	top: "res4b21_branch2b"
	name: "bn4b21_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2b"
	top: "res4b21_branch2b"
	name: "scale4b21_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b21_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2c"
	top: "res4b21_branch2c"
	name: "scale4b21_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b22_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2a"
	top: "res4b22_branch2a"
	name: "scale4b22_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b22_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2b"
	top: "res4b22_branch2b"
	name: "bn4b22_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2b"
	top: "res4b22_branch2b"
	name: "scale4b22_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res4b22_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2c"
	top: "res4b22_branch2c"
	name: "scale4b22_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2c_1"
	      lr_mult: 0
	}
}

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: "res5a_branch1"
	name: "res5a_branch1"
	type: "Convolution"
	param {
		name: "res5a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch1"
	top: "res5a_branch1"
	name: "bn5a_branch1"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch1"
	top: "res5a_branch1"
	name: "scale5a_branch1"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b22"
	top: "res5a_branch2a"
	name: "res5a_branch2a"
	type: "Convolution"
	param {
		name: "res5a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2a"
	top: "res5a_branch2a"
	name: "bn5a_branch2a"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2a"
	top: "res5a_branch2a"
	name: "scale5a_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2b"
	top: "res5a_branch2b"
	name: "bn5a_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2b"
	top: "res5a_branch2b"
	name: "scale5a_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2c"
	top: "res5a_branch2c"
	name: "scale5a_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5b_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2a"
	top: "res5b_branch2a"
	name: "scale5b_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5b_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2b"
	top: "res5b_branch2b"
	name: "bn5b_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2b"
	top: "res5b_branch2b"
	name: "scale5b_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5b_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2c"
	top: "res5b_branch2c"
	name: "scale5b_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2c_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5c_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2a"
	top: "res5c_branch2a"
	name: "scale5c_branch2a"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2a_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5c_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2b"
	top: "res5c_branch2b"
	name: "bn5c_branch2b"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2b"
	top: "res5c_branch2b"
	name: "scale5c_branch2b"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2b_1"
	      lr_mult: 0
	}
}

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"
	param {
		name: "res5c_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        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"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2c"
	top: "res5c_branch2c"
	name: "scale5c_branch2c"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2c_1"
	      lr_mult: 0
	}
}

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

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

###################### resolution 1/2 #####################
layer {
	bottom: "data_res05"
	top: "conv1_res05"
	name: "conv1_res05"
	type: "Convolution"
	param {
		name: "conv1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 7
		pad: 3
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "conv1_res05"
	top: "conv1_res05"
	name: "bn_conv1_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn_conv1_0"
	      lr_mult: 0
	}
	param {
		name: "bn_conv1_1"
	      lr_mult: 0
        }
	param {
		name: "bn_conv1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "conv1_res05"
	top: "conv1_res05"
	name: "scale_conv1_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale_conv1_0"
	      lr_mult: 0
	}
	param {
		name: "scale_conv1_1"
	      lr_mult: 0
	}
}

layer {
	top: "conv1_res05"
	bottom: "conv1_res05"
	name: "conv1_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "conv1_res05"
	top: "pool1_res05"
	name: "pool1_res05"
	type: "Pooling"
	pooling_param {
		kernel_size: 3
		stride: 2
		pad: 1
		pool: MAX
	}
}

layer {
	bottom: "pool1_res05"
	top: "res2a_branch1_res05"
	name: "res2a_branch1_res05"
	type: "Convolution"
	param {
		name: "res2a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch1_res05"
	top: "res2a_branch1_res05"
	name: "bn2a_branch1_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch1_res05"
	top: "res2a_branch1_res05"
	name: "scale2a_branch1_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "pool1_res05"
	top: "res2a_branch2a_res05"
	name: "res2a_branch2a_res05"
	type: "Convolution"
	param {
		name: "res2a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2a_res05"
	top: "res2a_branch2a_res05"
	name: "bn2a_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2a_res05"
	top: "res2a_branch2a_res05"
	name: "scale2a_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2a_branch2a_res05"
	bottom: "res2a_branch2a_res05"
	name: "res2a_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2a_branch2a_res05"
	top: "res2a_branch2b_res05"
	name: "res2a_branch2b_res05"
	type: "Convolution"
	param {
		name: "res2a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2b_res05"
	top: "res2a_branch2b_res05"
	name: "bn2a_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2b_res05"
	top: "res2a_branch2b_res05"
	name: "scale2a_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2a_branch2b_res05"
	bottom: "res2a_branch2b_res05"
	name: "res2a_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2a_branch2b_res05"
	top: "res2a_branch2c_res05"
	name: "res2a_branch2c_res05"
	type: "Convolution"
	param {
		name: "res2a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2c_res05"
	top: "res2a_branch2c_res05"
	name: "bn2a_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2c_res05"
	top: "res2a_branch2c_res05"
	name: "scale2a_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2a_branch1_res05"
	bottom: "res2a_branch2c_res05"
	top: "res2a_res05"
	name: "res2a_res05"
	type: "Eltwise"
}

layer {
	bottom: "res2a_res05"
	top: "res2a_res05"
	name: "res2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2a_res05"
	top: "res2b_branch2a_res05"
	name: "res2b_branch2a_res05"
	type: "Convolution"
	param {
		name: "res2b_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2a_res05"
	top: "res2b_branch2a_res05"
	name: "bn2b_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2a_res05"
	top: "res2b_branch2a_res05"
	name: "scale2b_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2b_branch2a_res05"
	bottom: "res2b_branch2a_res05"
	name: "res2b_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2b_branch2a_res05"
	top: "res2b_branch2b_res05"
	name: "res2b_branch2b_res05"
	type: "Convolution"
	param {
		name: "res2b_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2b_res05"
	top: "res2b_branch2b_res05"
	name: "bn2b_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2b_res05"
	top: "res2b_branch2b_res05"
	name: "scale2b_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2b_branch2b_res05"
	bottom: "res2b_branch2b_res05"
	name: "res2b_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2b_branch2b_res05"
	top: "res2b_branch2c_res05"
	name: "res2b_branch2c_res05"
	type: "Convolution"
	param {
		name: "res2b_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2c_res05"
	top: "res2b_branch2c_res05"
	name: "bn2b_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2c_res05"
	top: "res2b_branch2c_res05"
	name: "scale2b_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2a_res05"
	bottom: "res2b_branch2c_res05"
	top: "res2b_res05"
	name: "res2b_res05"
	type: "Eltwise"
}

layer {
	bottom: "res2b_res05"
	top: "res2b_res05"
	name: "res2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2b_res05"
	top: "res2c_branch2a_res05"
	name: "res2c_branch2a_res05"
	type: "Convolution"
	param {
		name: "res2c_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2a_res05"
	top: "res2c_branch2a_res05"
	name: "bn2c_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2a_res05"
	top: "res2c_branch2a_res05"
	name: "scale2c_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2c_branch2a_res05"
	bottom: "res2c_branch2a_res05"
	name: "res2c_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2c_branch2a_res05"
	top: "res2c_branch2b_res05"
	name: "res2c_branch2b_res05"
	type: "Convolution"
	param {
		name: "res2c_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2b_res05"
	top: "res2c_branch2b_res05"
	name: "bn2c_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2b_res05"
	top: "res2c_branch2b_res05"
	name: "scale2c_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2c_branch2b_res05"
	bottom: "res2c_branch2b_res05"
	name: "res2c_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2c_branch2b_res05"
	top: "res2c_branch2c_res05"
	name: "res2c_branch2c_res05"
	type: "Convolution"
	param {
		name: "res2c_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2c_res05"
	top: "res2c_branch2c_res05"
	name: "bn2c_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2c_res05"
	top: "res2c_branch2c_res05"
	name: "scale2c_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2b_res05"
	bottom: "res2c_branch2c_res05"
	top: "res2c_res05"
	name: "res2c_res05"
	type: "Eltwise"
}

layer {
	bottom: "res2c_res05"
	top: "res2c_res05"
	name: "res2c_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res2c_res05"
	top: "res3a_branch1_res05"
	name: "res3a_branch1_res05"
	type: "Convolution"
	param {
		name: "res3a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch1_res05"
	top: "res3a_branch1_res05"
	name: "bn3a_branch1_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch1_res05"
	top: "res3a_branch1_res05"
	name: "scale3a_branch1_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2c_res05"
	top: "res3a_branch2a_res05"
	name: "res3a_branch2a_res05"
	type: "Convolution"
	param {
		name: "res3a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2a_res05"
	top: "res3a_branch2a_res05"
	name: "bn3a_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2a_res05"
	top: "res3a_branch2a_res05"
	name: "scale3a_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3a_branch2a_res05"
	bottom: "res3a_branch2a_res05"
	name: "res3a_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3a_branch2a_res05"
	top: "res3a_branch2b_res05"
	name: "res3a_branch2b_res05"
	type: "Convolution"
	param {
		name: "res3a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2b_res05"
	top: "res3a_branch2b_res05"
	name: "bn3a_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2b_res05"
	top: "res3a_branch2b_res05"
	name: "scale3a_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3a_branch2b_res05"
	bottom: "res3a_branch2b_res05"
	name: "res3a_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3a_branch2b_res05"
	top: "res3a_branch2c_res05"
	name: "res3a_branch2c_res05"
	type: "Convolution"
	param {
		name: "res3a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2c_res05"
	top: "res3a_branch2c_res05"
	name: "bn3a_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2c_res05"
	top: "res3a_branch2c_res05"
	name: "scale3a_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3a_branch1_res05"
	bottom: "res3a_branch2c_res05"
	top: "res3a_res05"
	name: "res3a_res05"
	type: "Eltwise"
}

layer {
	bottom: "res3a_res05"
	top: "res3a_res05"
	name: "res3a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3a_res05"
	top: "res3b1_branch2a_res05"
	name: "res3b1_branch2a_res05"
	type: "Convolution"
	param {
		name: "res3b1_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2a_res05"
	top: "res3b1_branch2a_res05"
	name: "bn3b1_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2a_res05"
	top: "res3b1_branch2a_res05"
	name: "scale3b1_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b1_branch2a_res05"
	bottom: "res3b1_branch2a_res05"
	name: "res3b1_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b1_branch2a_res05"
	top: "res3b1_branch2b_res05"
	name: "res3b1_branch2b_res05"
	type: "Convolution"
	param {
		name: "res3b1_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2b_res05"
	top: "res3b1_branch2b_res05"
	name: "bn3b1_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2b_res05"
	top: "res3b1_branch2b_res05"
	name: "scale3b1_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b1_branch2b_res05"
	bottom: "res3b1_branch2b_res05"
	name: "res3b1_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b1_branch2b_res05"
	top: "res3b1_branch2c_res05"
	name: "res3b1_branch2c_res05"
	type: "Convolution"
	param {
		name: "res3b1_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2c_res05"
	top: "res3b1_branch2c_res05"
	name: "bn3b1_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2c_res05"
	top: "res3b1_branch2c_res05"
	name: "scale3b1_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3a_res05"
	bottom: "res3b1_branch2c_res05"
	top: "res3b1_res05"
	name: "res3b1_res05"
	type: "Eltwise"
}

layer {
	bottom: "res3b1_res05"
	top: "res3b1_res05"
	name: "res3b1_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b1_res05"
	top: "res3b2_branch2a_res05"
	name: "res3b2_branch2a_res05"
	type: "Convolution"
	param {
		name: "res3b2_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2a_res05"
	top: "res3b2_branch2a_res05"
	name: "bn3b2_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2a_res05"
	top: "res3b2_branch2a_res05"
	name: "scale3b2_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b2_branch2a_res05"
	bottom: "res3b2_branch2a_res05"
	name: "res3b2_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b2_branch2a_res05"
	top: "res3b2_branch2b_res05"
	name: "res3b2_branch2b_res05"
	type: "Convolution"
	param {
		name: "res3b2_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2b_res05"
	top: "res3b2_branch2b_res05"
	name: "bn3b2_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2b_res05"
	top: "res3b2_branch2b_res05"
	name: "scale3b2_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b2_branch2b_res05"
	bottom: "res3b2_branch2b_res05"
	name: "res3b2_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b2_branch2b_res05"
	top: "res3b2_branch2c_res05"
	name: "res3b2_branch2c_res05"
	type: "Convolution"
	param {
		name: "res3b2_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2c_res05"
	top: "res3b2_branch2c_res05"
	name: "bn3b2_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2c_res05"
	top: "res3b2_branch2c_res05"
	name: "scale3b2_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b1_res05"
	bottom: "res3b2_branch2c_res05"
	top: "res3b2_res05"
	name: "res3b2_res05"
	type: "Eltwise"
}

layer {
	bottom: "res3b2_res05"
	top: "res3b2_res05"
	name: "res3b2_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b2_res05"
	top: "res3b3_branch2a_res05"
	name: "res3b3_branch2a_res05"
	type: "Convolution"
	param {
		name: "res3b3_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2a_res05"
	top: "res3b3_branch2a_res05"
	name: "bn3b3_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2a_res05"
	top: "res3b3_branch2a_res05"
	name: "scale3b3_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b3_branch2a_res05"
	bottom: "res3b3_branch2a_res05"
	name: "res3b3_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b3_branch2a_res05"
	top: "res3b3_branch2b_res05"
	name: "res3b3_branch2b_res05"
	type: "Convolution"
	param {
		name: "res3b3_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2b_res05"
	top: "res3b3_branch2b_res05"
	name: "bn3b3_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2b_res05"
	top: "res3b3_branch2b_res05"
	name: "scale3b3_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b3_branch2b_res05"
	bottom: "res3b3_branch2b_res05"
	name: "res3b3_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b3_branch2b_res05"
	top: "res3b3_branch2c_res05"
	name: "res3b3_branch2c_res05"
	type: "Convolution"
	param {
		name: "res3b3_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2c_res05"
	top: "res3b3_branch2c_res05"
	name: "bn3b3_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2c_res05"
	top: "res3b3_branch2c_res05"
	name: "scale3b3_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b2_res05"
	bottom: "res3b3_branch2c_res05"
	top: "res3b3_res05"
	name: "res3b3_res05"
	type: "Eltwise"
}

layer {
	bottom: "res3b3_res05"
	top: "res3b3_res05"
	name: "res3b3_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res3b3_res05"
	top: "res4a_branch1_res05"
	name: "res4a_branch1_res05"
	type: "Convolution"
	param {
		name: "res4a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch1_res05"
	top: "res4a_branch1_res05"
	name: "bn4a_branch1_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch1_res05"
	top: "res4a_branch1_res05"
	name: "scale4a_branch1_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b3_res05"
	top: "res4a_branch2a_res05"
	name: "res4a_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2a_res05"
	top: "res4a_branch2a_res05"
	name: "bn4a_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2a_res05"
	top: "res4a_branch2a_res05"
	name: "scale4a_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4a_branch2a_res05"
	bottom: "res4a_branch2a_res05"
	name: "res4a_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4a_branch2a_res05"
	top: "res4a_branch2b_res05"
	name: "res4a_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2b_res05"
	top: "res4a_branch2b_res05"
	name: "bn4a_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2b_res05"
	top: "res4a_branch2b_res05"
	name: "scale4a_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4a_branch2b_res05"
	bottom: "res4a_branch2b_res05"
	name: "res4a_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4a_branch2b_res05"
	top: "res4a_branch2c_res05"
	name: "res4a_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2c_res05"
	top: "res4a_branch2c_res05"
	name: "bn4a_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2c_res05"
	top: "res4a_branch2c_res05"
	name: "scale4a_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4a_branch1_res05"
	bottom: "res4a_branch2c_res05"
	top: "res4a_res05"
	name: "res4a_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4a_res05"
	top: "res4a_res05"
	name: "res4a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4a_res05"
	top: "res4b1_branch2a_res05"
	name: "res4b1_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b1_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2a_res05"
	top: "res4b1_branch2a_res05"
	name: "bn4b1_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2a_res05"
	top: "res4b1_branch2a_res05"
	name: "scale4b1_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b1_branch2a_res05"
	bottom: "res4b1_branch2a_res05"
	name: "res4b1_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b1_branch2a_res05"
	top: "res4b1_branch2b_res05"
	name: "res4b1_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b1_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2b_res05"
	top: "res4b1_branch2b_res05"
	name: "bn4b1_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2b_res05"
	top: "res4b1_branch2b_res05"
	name: "scale4b1_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b1_branch2b_res05"
	bottom: "res4b1_branch2b_res05"
	name: "res4b1_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b1_branch2b_res05"
	top: "res4b1_branch2c_res05"
	name: "res4b1_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b1_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2c_res05"
	top: "res4b1_branch2c_res05"
	name: "bn4b1_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2c_res05"
	top: "res4b1_branch2c_res05"
	name: "scale4b1_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4a_res05"
	bottom: "res4b1_branch2c_res05"
	top: "res4b1_res05"
	name: "res4b1_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b1_res05"
	top: "res4b1_res05"
	name: "res4b1_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b1_res05"
	top: "res4b2_branch2a_res05"
	name: "res4b2_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b2_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2a_res05"
	top: "res4b2_branch2a_res05"
	name: "bn4b2_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2a_res05"
	top: "res4b2_branch2a_res05"
	name: "scale4b2_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b2_branch2a_res05"
	bottom: "res4b2_branch2a_res05"
	name: "res4b2_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b2_branch2a_res05"
	top: "res4b2_branch2b_res05"
	name: "res4b2_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b2_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2b_res05"
	top: "res4b2_branch2b_res05"
	name: "bn4b2_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2b_res05"
	top: "res4b2_branch2b_res05"
	name: "scale4b2_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b2_branch2b_res05"
	bottom: "res4b2_branch2b_res05"
	name: "res4b2_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b2_branch2b_res05"
	top: "res4b2_branch2c_res05"
	name: "res4b2_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b2_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2c_res05"
	top: "res4b2_branch2c_res05"
	name: "bn4b2_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2c_res05"
	top: "res4b2_branch2c_res05"
	name: "scale4b2_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b1_res05"
	bottom: "res4b2_branch2c_res05"
	top: "res4b2_res05"
	name: "res4b2_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b2_res05"
	top: "res4b2_res05"
	name: "res4b2_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b2_res05"
	top: "res4b3_branch2a_res05"
	name: "res4b3_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b3_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2a_res05"
	top: "res4b3_branch2a_res05"
	name: "bn4b3_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2a_res05"
	top: "res4b3_branch2a_res05"
	name: "scale4b3_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b3_branch2a_res05"
	bottom: "res4b3_branch2a_res05"
	name: "res4b3_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b3_branch2a_res05"
	top: "res4b3_branch2b_res05"
	name: "res4b3_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b3_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2b_res05"
	top: "res4b3_branch2b_res05"
	name: "bn4b3_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2b_res05"
	top: "res4b3_branch2b_res05"
	name: "scale4b3_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b3_branch2b_res05"
	bottom: "res4b3_branch2b_res05"
	name: "res4b3_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b3_branch2b_res05"
	top: "res4b3_branch2c_res05"
	name: "res4b3_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b3_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2c_res05"
	top: "res4b3_branch2c_res05"
	name: "bn4b3_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2c_res05"
	top: "res4b3_branch2c_res05"
	name: "scale4b3_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b2_res05"
	bottom: "res4b3_branch2c_res05"
	top: "res4b3_res05"
	name: "res4b3_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b3_res05"
	top: "res4b3_res05"
	name: "res4b3_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b3_res05"
	top: "res4b4_branch2a_res05"
	name: "res4b4_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b4_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2a_res05"
	top: "res4b4_branch2a_res05"
	name: "bn4b4_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2a_res05"
	top: "res4b4_branch2a_res05"
	name: "scale4b4_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b4_branch2a_res05"
	bottom: "res4b4_branch2a_res05"
	name: "res4b4_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b4_branch2a_res05"
	top: "res4b4_branch2b_res05"
	name: "res4b4_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b4_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2b_res05"
	top: "res4b4_branch2b_res05"
	name: "bn4b4_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2b_res05"
	top: "res4b4_branch2b_res05"
	name: "scale4b4_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b4_branch2b_res05"
	bottom: "res4b4_branch2b_res05"
	name: "res4b4_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b4_branch2b_res05"
	top: "res4b4_branch2c_res05"
	name: "res4b4_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b4_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2c_res05"
	top: "res4b4_branch2c_res05"
	name: "bn4b4_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2c_res05"
	top: "res4b4_branch2c_res05"
	name: "scale4b4_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b3_res05"
	bottom: "res4b4_branch2c_res05"
	top: "res4b4_res05"
	name: "res4b4_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b4_res05"
	top: "res4b4_res05"
	name: "res4b4_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b4_res05"
	top: "res4b5_branch2a_res05"
	name: "res4b5_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b5_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2a_res05"
	top: "res4b5_branch2a_res05"
	name: "bn4b5_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2a_res05"
	top: "res4b5_branch2a_res05"
	name: "scale4b5_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b5_branch2a_res05"
	bottom: "res4b5_branch2a_res05"
	name: "res4b5_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b5_branch2a_res05"
	top: "res4b5_branch2b_res05"
	name: "res4b5_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b5_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2b_res05"
	top: "res4b5_branch2b_res05"
	name: "bn4b5_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2b_res05"
	top: "res4b5_branch2b_res05"
	name: "scale4b5_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b5_branch2b_res05"
	bottom: "res4b5_branch2b_res05"
	name: "res4b5_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b5_branch2b_res05"
	top: "res4b5_branch2c_res05"
	name: "res4b5_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b5_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2c_res05"
	top: "res4b5_branch2c_res05"
	name: "bn4b5_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2c_res05"
	top: "res4b5_branch2c_res05"
	name: "scale4b5_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b4_res05"
	bottom: "res4b5_branch2c_res05"
	top: "res4b5_res05"
	name: "res4b5_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b5_res05"
	top: "res4b5_res05"
	name: "res4b5_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b5_res05"
	top: "res4b6_branch2a_res05"
	name: "res4b6_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b6_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2a_res05"
	top: "res4b6_branch2a_res05"
	name: "bn4b6_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2a_res05"
	top: "res4b6_branch2a_res05"
	name: "scale4b6_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b6_branch2a_res05"
	bottom: "res4b6_branch2a_res05"
	name: "res4b6_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b6_branch2a_res05"
	top: "res4b6_branch2b_res05"
	name: "res4b6_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b6_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2b_res05"
	top: "res4b6_branch2b_res05"
	name: "bn4b6_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2b_res05"
	top: "res4b6_branch2b_res05"
	name: "scale4b6_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b6_branch2b_res05"
	bottom: "res4b6_branch2b_res05"
	name: "res4b6_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b6_branch2b_res05"
	top: "res4b6_branch2c_res05"
	name: "res4b6_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b6_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2c_res05"
	top: "res4b6_branch2c_res05"
	name: "bn4b6_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2c_res05"
	top: "res4b6_branch2c_res05"
	name: "scale4b6_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b5_res05"
	bottom: "res4b6_branch2c_res05"
	top: "res4b6_res05"
	name: "res4b6_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b6_res05"
	top: "res4b6_res05"
	name: "res4b6_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b6_res05"
	top: "res4b7_branch2a_res05"
	name: "res4b7_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b7_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2a_res05"
	top: "res4b7_branch2a_res05"
	name: "bn4b7_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2a_res05"
	top: "res4b7_branch2a_res05"
	name: "scale4b7_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b7_branch2a_res05"
	bottom: "res4b7_branch2a_res05"
	name: "res4b7_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b7_branch2a_res05"
	top: "res4b7_branch2b_res05"
	name: "res4b7_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b7_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2b_res05"
	top: "res4b7_branch2b_res05"
	name: "bn4b7_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2b_res05"
	top: "res4b7_branch2b_res05"
	name: "scale4b7_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b7_branch2b_res05"
	bottom: "res4b7_branch2b_res05"
	name: "res4b7_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b7_branch2b_res05"
	top: "res4b7_branch2c_res05"
	name: "res4b7_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b7_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2c_res05"
	top: "res4b7_branch2c_res05"
	name: "bn4b7_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2c_res05"
	top: "res4b7_branch2c_res05"
	name: "scale4b7_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b6_res05"
	bottom: "res4b7_branch2c_res05"
	top: "res4b7_res05"
	name: "res4b7_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b7_res05"
	top: "res4b7_res05"
	name: "res4b7_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b7_res05"
	top: "res4b8_branch2a_res05"
	name: "res4b8_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b8_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2a_res05"
	top: "res4b8_branch2a_res05"
	name: "bn4b8_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2a_res05"
	top: "res4b8_branch2a_res05"
	name: "scale4b8_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b8_branch2a_res05"
	bottom: "res4b8_branch2a_res05"
	name: "res4b8_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b8_branch2a_res05"
	top: "res4b8_branch2b_res05"
	name: "res4b8_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b8_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2b_res05"
	top: "res4b8_branch2b_res05"
	name: "bn4b8_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2b_res05"
	top: "res4b8_branch2b_res05"
	name: "scale4b8_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b8_branch2b_res05"
	bottom: "res4b8_branch2b_res05"
	name: "res4b8_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b8_branch2b_res05"
	top: "res4b8_branch2c_res05"
	name: "res4b8_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b8_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2c_res05"
	top: "res4b8_branch2c_res05"
	name: "bn4b8_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2c_res05"
	top: "res4b8_branch2c_res05"
	name: "scale4b8_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b7_res05"
	bottom: "res4b8_branch2c_res05"
	top: "res4b8_res05"
	name: "res4b8_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b8_res05"
	top: "res4b8_res05"
	name: "res4b8_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b8_res05"
	top: "res4b9_branch2a_res05"
	name: "res4b9_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b9_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2a_res05"
	top: "res4b9_branch2a_res05"
	name: "bn4b9_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2a_res05"
	top: "res4b9_branch2a_res05"
	name: "scale4b9_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b9_branch2a_res05"
	bottom: "res4b9_branch2a_res05"
	name: "res4b9_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b9_branch2a_res05"
	top: "res4b9_branch2b_res05"
	name: "res4b9_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b9_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2b_res05"
	top: "res4b9_branch2b_res05"
	name: "bn4b9_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2b_res05"
	top: "res4b9_branch2b_res05"
	name: "scale4b9_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b9_branch2b_res05"
	bottom: "res4b9_branch2b_res05"
	name: "res4b9_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b9_branch2b_res05"
	top: "res4b9_branch2c_res05"
	name: "res4b9_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b9_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2c_res05"
	top: "res4b9_branch2c_res05"
	name: "bn4b9_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2c_res05"
	top: "res4b9_branch2c_res05"
	name: "scale4b9_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b8_res05"
	bottom: "res4b9_branch2c_res05"
	top: "res4b9_res05"
	name: "res4b9_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b9_res05"
	top: "res4b9_res05"
	name: "res4b9_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b9_res05"
	top: "res4b10_branch2a_res05"
	name: "res4b10_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b10_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2a_res05"
	top: "res4b10_branch2a_res05"
	name: "bn4b10_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2a_res05"
	top: "res4b10_branch2a_res05"
	name: "scale4b10_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b10_branch2a_res05"
	bottom: "res4b10_branch2a_res05"
	name: "res4b10_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b10_branch2a_res05"
	top: "res4b10_branch2b_res05"
	name: "res4b10_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b10_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2b_res05"
	top: "res4b10_branch2b_res05"
	name: "bn4b10_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2b_res05"
	top: "res4b10_branch2b_res05"
	name: "scale4b10_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b10_branch2b_res05"
	bottom: "res4b10_branch2b_res05"
	name: "res4b10_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b10_branch2b_res05"
	top: "res4b10_branch2c_res05"
	name: "res4b10_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b10_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2c_res05"
	top: "res4b10_branch2c_res05"
	name: "bn4b10_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2c_res05"
	top: "res4b10_branch2c_res05"
	name: "scale4b10_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b9_res05"
	bottom: "res4b10_branch2c_res05"
	top: "res4b10_res05"
	name: "res4b10_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b10_res05"
	top: "res4b10_res05"
	name: "res4b10_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b10_res05"
	top: "res4b11_branch2a_res05"
	name: "res4b11_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b11_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2a_res05"
	top: "res4b11_branch2a_res05"
	name: "bn4b11_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2a_res05"
	top: "res4b11_branch2a_res05"
	name: "scale4b11_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b11_branch2a_res05"
	bottom: "res4b11_branch2a_res05"
	name: "res4b11_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b11_branch2a_res05"
	top: "res4b11_branch2b_res05"
	name: "res4b11_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b11_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2b_res05"
	top: "res4b11_branch2b_res05"
	name: "bn4b11_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2b_res05"
	top: "res4b11_branch2b_res05"
	name: "scale4b11_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b11_branch2b_res05"
	bottom: "res4b11_branch2b_res05"
	name: "res4b11_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b11_branch2b_res05"
	top: "res4b11_branch2c_res05"
	name: "res4b11_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b11_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2c_res05"
	top: "res4b11_branch2c_res05"
	name: "bn4b11_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2c_res05"
	top: "res4b11_branch2c_res05"
	name: "scale4b11_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b10_res05"
	bottom: "res4b11_branch2c_res05"
	top: "res4b11_res05"
	name: "res4b11_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b11_res05"
	top: "res4b11_res05"
	name: "res4b11_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b11_res05"
	top: "res4b12_branch2a_res05"
	name: "res4b12_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b12_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2a_res05"
	top: "res4b12_branch2a_res05"
	name: "bn4b12_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2a_res05"
	top: "res4b12_branch2a_res05"
	name: "scale4b12_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b12_branch2a_res05"
	bottom: "res4b12_branch2a_res05"
	name: "res4b12_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b12_branch2a_res05"
	top: "res4b12_branch2b_res05"
	name: "res4b12_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b12_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2b_res05"
	top: "res4b12_branch2b_res05"
	name: "bn4b12_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2b_res05"
	top: "res4b12_branch2b_res05"
	name: "scale4b12_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b12_branch2b_res05"
	bottom: "res4b12_branch2b_res05"
	name: "res4b12_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b12_branch2b_res05"
	top: "res4b12_branch2c_res05"
	name: "res4b12_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b12_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2c_res05"
	top: "res4b12_branch2c_res05"
	name: "bn4b12_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2c_res05"
	top: "res4b12_branch2c_res05"
	name: "scale4b12_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b11_res05"
	bottom: "res4b12_branch2c_res05"
	top: "res4b12_res05"
	name: "res4b12_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b12_res05"
	top: "res4b12_res05"
	name: "res4b12_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b12_res05"
	top: "res4b13_branch2a_res05"
	name: "res4b13_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b13_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2a_res05"
	top: "res4b13_branch2a_res05"
	name: "bn4b13_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2a_res05"
	top: "res4b13_branch2a_res05"
	name: "scale4b13_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b13_branch2a_res05"
	bottom: "res4b13_branch2a_res05"
	name: "res4b13_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b13_branch2a_res05"
	top: "res4b13_branch2b_res05"
	name: "res4b13_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b13_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2b_res05"
	top: "res4b13_branch2b_res05"
	name: "bn4b13_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2b_res05"
	top: "res4b13_branch2b_res05"
	name: "scale4b13_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b13_branch2b_res05"
	bottom: "res4b13_branch2b_res05"
	name: "res4b13_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b13_branch2b_res05"
	top: "res4b13_branch2c_res05"
	name: "res4b13_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b13_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2c_res05"
	top: "res4b13_branch2c_res05"
	name: "bn4b13_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2c_res05"
	top: "res4b13_branch2c_res05"
	name: "scale4b13_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b12_res05"
	bottom: "res4b13_branch2c_res05"
	top: "res4b13_res05"
	name: "res4b13_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b13_res05"
	top: "res4b13_res05"
	name: "res4b13_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b13_res05"
	top: "res4b14_branch2a_res05"
	name: "res4b14_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b14_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2a_res05"
	top: "res4b14_branch2a_res05"
	name: "bn4b14_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2a_res05"
	top: "res4b14_branch2a_res05"
	name: "scale4b14_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b14_branch2a_res05"
	bottom: "res4b14_branch2a_res05"
	name: "res4b14_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b14_branch2a_res05"
	top: "res4b14_branch2b_res05"
	name: "res4b14_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b14_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2b_res05"
	top: "res4b14_branch2b_res05"
	name: "bn4b14_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2b_res05"
	top: "res4b14_branch2b_res05"
	name: "scale4b14_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b14_branch2b_res05"
	bottom: "res4b14_branch2b_res05"
	name: "res4b14_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b14_branch2b_res05"
	top: "res4b14_branch2c_res05"
	name: "res4b14_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b14_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2c_res05"
	top: "res4b14_branch2c_res05"
	name: "bn4b14_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2c_res05"
	top: "res4b14_branch2c_res05"
	name: "scale4b14_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b13_res05"
	bottom: "res4b14_branch2c_res05"
	top: "res4b14_res05"
	name: "res4b14_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b14_res05"
	top: "res4b14_res05"
	name: "res4b14_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b14_res05"
	top: "res4b15_branch2a_res05"
	name: "res4b15_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b15_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2a_res05"
	top: "res4b15_branch2a_res05"
	name: "bn4b15_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2a_res05"
	top: "res4b15_branch2a_res05"
	name: "scale4b15_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b15_branch2a_res05"
	bottom: "res4b15_branch2a_res05"
	name: "res4b15_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b15_branch2a_res05"
	top: "res4b15_branch2b_res05"
	name: "res4b15_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b15_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2b_res05"
	top: "res4b15_branch2b_res05"
	name: "bn4b15_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2b_res05"
	top: "res4b15_branch2b_res05"
	name: "scale4b15_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b15_branch2b_res05"
	bottom: "res4b15_branch2b_res05"
	name: "res4b15_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b15_branch2b_res05"
	top: "res4b15_branch2c_res05"
	name: "res4b15_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b15_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2c_res05"
	top: "res4b15_branch2c_res05"
	name: "bn4b15_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2c_res05"
	top: "res4b15_branch2c_res05"
	name: "scale4b15_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b14_res05"
	bottom: "res4b15_branch2c_res05"
	top: "res4b15_res05"
	name: "res4b15_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b15_res05"
	top: "res4b15_res05"
	name: "res4b15_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b15_res05"
	top: "res4b16_branch2a_res05"
	name: "res4b16_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b16_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2a_res05"
	top: "res4b16_branch2a_res05"
	name: "bn4b16_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2a_res05"
	top: "res4b16_branch2a_res05"
	name: "scale4b16_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b16_branch2a_res05"
	bottom: "res4b16_branch2a_res05"
	name: "res4b16_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b16_branch2a_res05"
	top: "res4b16_branch2b_res05"
	name: "res4b16_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b16_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2b_res05"
	top: "res4b16_branch2b_res05"
	name: "bn4b16_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2b_res05"
	top: "res4b16_branch2b_res05"
	name: "scale4b16_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b16_branch2b_res05"
	bottom: "res4b16_branch2b_res05"
	name: "res4b16_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b16_branch2b_res05"
	top: "res4b16_branch2c_res05"
	name: "res4b16_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b16_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2c_res05"
	top: "res4b16_branch2c_res05"
	name: "bn4b16_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2c_res05"
	top: "res4b16_branch2c_res05"
	name: "scale4b16_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b15_res05"
	bottom: "res4b16_branch2c_res05"
	top: "res4b16_res05"
	name: "res4b16_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b16_res05"
	top: "res4b16_res05"
	name: "res4b16_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b16_res05"
	top: "res4b17_branch2a_res05"
	name: "res4b17_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b17_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2a_res05"
	top: "res4b17_branch2a_res05"
	name: "bn4b17_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2a_res05"
	top: "res4b17_branch2a_res05"
	name: "scale4b17_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b17_branch2a_res05"
	bottom: "res4b17_branch2a_res05"
	name: "res4b17_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b17_branch2a_res05"
	top: "res4b17_branch2b_res05"
	name: "res4b17_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b17_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2b_res05"
	top: "res4b17_branch2b_res05"
	name: "bn4b17_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2b_res05"
	top: "res4b17_branch2b_res05"
	name: "scale4b17_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b17_branch2b_res05"
	bottom: "res4b17_branch2b_res05"
	name: "res4b17_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b17_branch2b_res05"
	top: "res4b17_branch2c_res05"
	name: "res4b17_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b17_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2c_res05"
	top: "res4b17_branch2c_res05"
	name: "bn4b17_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2c_res05"
	top: "res4b17_branch2c_res05"
	name: "scale4b17_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b16_res05"
	bottom: "res4b17_branch2c_res05"
	top: "res4b17_res05"
	name: "res4b17_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b17_res05"
	top: "res4b17_res05"
	name: "res4b17_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b17_res05"
	top: "res4b18_branch2a_res05"
	name: "res4b18_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b18_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2a_res05"
	top: "res4b18_branch2a_res05"
	name: "bn4b18_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2a_res05"
	top: "res4b18_branch2a_res05"
	name: "scale4b18_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b18_branch2a_res05"
	bottom: "res4b18_branch2a_res05"
	name: "res4b18_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b18_branch2a_res05"
	top: "res4b18_branch2b_res05"
	name: "res4b18_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b18_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2b_res05"
	top: "res4b18_branch2b_res05"
	name: "bn4b18_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2b_res05"
	top: "res4b18_branch2b_res05"
	name: "scale4b18_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b18_branch2b_res05"
	bottom: "res4b18_branch2b_res05"
	name: "res4b18_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b18_branch2b_res05"
	top: "res4b18_branch2c_res05"
	name: "res4b18_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b18_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2c_res05"
	top: "res4b18_branch2c_res05"
	name: "bn4b18_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2c_res05"
	top: "res4b18_branch2c_res05"
	name: "scale4b18_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b17_res05"
	bottom: "res4b18_branch2c_res05"
	top: "res4b18_res05"
	name: "res4b18_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b18_res05"
	top: "res4b18_res05"
	name: "res4b18_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b18_res05"
	top: "res4b19_branch2a_res05"
	name: "res4b19_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b19_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2a_res05"
	top: "res4b19_branch2a_res05"
	name: "bn4b19_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2a_res05"
	top: "res4b19_branch2a_res05"
	name: "scale4b19_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b19_branch2a_res05"
	bottom: "res4b19_branch2a_res05"
	name: "res4b19_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b19_branch2a_res05"
	top: "res4b19_branch2b_res05"
	name: "res4b19_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b19_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2b_res05"
	top: "res4b19_branch2b_res05"
	name: "bn4b19_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2b_res05"
	top: "res4b19_branch2b_res05"
	name: "scale4b19_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b19_branch2b_res05"
	bottom: "res4b19_branch2b_res05"
	name: "res4b19_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b19_branch2b_res05"
	top: "res4b19_branch2c_res05"
	name: "res4b19_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b19_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2c_res05"
	top: "res4b19_branch2c_res05"
	name: "bn4b19_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2c_res05"
	top: "res4b19_branch2c_res05"
	name: "scale4b19_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b18_res05"
	bottom: "res4b19_branch2c_res05"
	top: "res4b19_res05"
	name: "res4b19_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b19_res05"
	top: "res4b19_res05"
	name: "res4b19_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b19_res05"
	top: "res4b20_branch2a_res05"
	name: "res4b20_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b20_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2a_res05"
	top: "res4b20_branch2a_res05"
	name: "bn4b20_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2a_res05"
	top: "res4b20_branch2a_res05"
	name: "scale4b20_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b20_branch2a_res05"
	bottom: "res4b20_branch2a_res05"
	name: "res4b20_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b20_branch2a_res05"
	top: "res4b20_branch2b_res05"
	name: "res4b20_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b20_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2b_res05"
	top: "res4b20_branch2b_res05"
	name: "bn4b20_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2b_res05"
	top: "res4b20_branch2b_res05"
	name: "scale4b20_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b20_branch2b_res05"
	bottom: "res4b20_branch2b_res05"
	name: "res4b20_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b20_branch2b_res05"
	top: "res4b20_branch2c_res05"
	name: "res4b20_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b20_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2c_res05"
	top: "res4b20_branch2c_res05"
	name: "bn4b20_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2c_res05"
	top: "res4b20_branch2c_res05"
	name: "scale4b20_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b19_res05"
	bottom: "res4b20_branch2c_res05"
	top: "res4b20_res05"
	name: "res4b20_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b20_res05"
	top: "res4b20_res05"
	name: "res4b20_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b20_res05"
	top: "res4b21_branch2a_res05"
	name: "res4b21_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b21_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2a_res05"
	top: "res4b21_branch2a_res05"
	name: "bn4b21_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2a_res05"
	top: "res4b21_branch2a_res05"
	name: "scale4b21_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b21_branch2a_res05"
	bottom: "res4b21_branch2a_res05"
	name: "res4b21_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b21_branch2a_res05"
	top: "res4b21_branch2b_res05"
	name: "res4b21_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b21_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2b_res05"
	top: "res4b21_branch2b_res05"
	name: "bn4b21_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2b_res05"
	top: "res4b21_branch2b_res05"
	name: "scale4b21_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b21_branch2b_res05"
	bottom: "res4b21_branch2b_res05"
	name: "res4b21_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b21_branch2b_res05"
	top: "res4b21_branch2c_res05"
	name: "res4b21_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b21_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2c_res05"
	top: "res4b21_branch2c_res05"
	name: "bn4b21_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2c_res05"
	top: "res4b21_branch2c_res05"
	name: "scale4b21_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b20_res05"
	bottom: "res4b21_branch2c_res05"
	top: "res4b21_res05"
	name: "res4b21_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b21_res05"
	top: "res4b21_res05"
	name: "res4b21_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b21_res05"
	top: "res4b22_branch2a_res05"
	name: "res4b22_branch2a_res05"
	type: "Convolution"
	param {
		name: "res4b22_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2a_res05"
	top: "res4b22_branch2a_res05"
	name: "bn4b22_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2a_res05"
	top: "res4b22_branch2a_res05"
	name: "scale4b22_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b22_branch2a_res05"
	bottom: "res4b22_branch2a_res05"
	name: "res4b22_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b22_branch2a_res05"
	top: "res4b22_branch2b_res05"
	name: "res4b22_branch2b_res05"
	type: "Convolution"
	param {
		name: "res4b22_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2b_res05"
	top: "res4b22_branch2b_res05"
	name: "bn4b22_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2b_res05"
	top: "res4b22_branch2b_res05"
	name: "scale4b22_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b22_branch2b_res05"
	bottom: "res4b22_branch2b_res05"
	name: "res4b22_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b22_branch2b_res05"
	top: "res4b22_branch2c_res05"
	name: "res4b22_branch2c_res05"
	type: "Convolution"
	param {
		name: "res4b22_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2c_res05"
	top: "res4b22_branch2c_res05"
	name: "bn4b22_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2c_res05"
	top: "res4b22_branch2c_res05"
	name: "scale4b22_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b21_res05"
	bottom: "res4b22_branch2c_res05"
	top: "res4b22_res05"
	name: "res4b22_res05"
	type: "Eltwise"
}

layer {
	bottom: "res4b22_res05"
	top: "res4b22_res05"
	name: "res4b22_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res4b22_res05"
	top: "res5a_branch1_res05"
	name: "res5a_branch1_res05"
	type: "Convolution"
	param {
		name: "res5a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch1_res05"
	top: "res5a_branch1_res05"
	name: "bn5a_branch1_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch1_res05"
	top: "res5a_branch1_res05"
	name: "scale5a_branch1_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b22_res05"
	top: "res5a_branch2a_res05"
	name: "res5a_branch2a_res05"
	type: "Convolution"
	param {
		name: "res5a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2a_res05"
	top: "res5a_branch2a_res05"
	name: "bn5a_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2a_res05"
	top: "res5a_branch2a_res05"
	name: "scale5a_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5a_branch2a_res05"
	bottom: "res5a_branch2a_res05"
	name: "res5a_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5a_branch2a_res05"
	top: "res5a_branch2b_res05"
	name: "res5a_branch2b_res05"
	type: "Convolution"
	param {
		name: "res5a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2b_res05"
	top: "res5a_branch2b_res05"
	name: "bn5a_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2b_res05"
	top: "res5a_branch2b_res05"
	name: "scale5a_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5a_branch2b_res05"
	bottom: "res5a_branch2b_res05"
	name: "res5a_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5a_branch2b_res05"
	top: "res5a_branch2c_res05"
	name: "res5a_branch2c_res05"
	type: "Convolution"
	param {
		name: "res5a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2c_res05"
	top: "res5a_branch2c_res05"
	name: "bn5a_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2c_res05"
	top: "res5a_branch2c_res05"
	name: "scale5a_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res5a_branch1_res05"
	bottom: "res5a_branch2c_res05"
	top: "res5a_res05"
	name: "res5a_res05"
	type: "Eltwise"
}

layer {
	bottom: "res5a_res05"
	top: "res5a_res05"
	name: "res5a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5a_res05"
	top: "res5b_branch2a_res05"
	name: "res5b_branch2a_res05"
	type: "Convolution"
	param {
		name: "res5b_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2a_res05"
	top: "res5b_branch2a_res05"
	name: "bn5b_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2a_res05"
	top: "res5b_branch2a_res05"
	name: "scale5b_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5b_branch2a_res05"
	bottom: "res5b_branch2a_res05"
	name: "res5b_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5b_branch2a_res05"
	top: "res5b_branch2b_res05"
	name: "res5b_branch2b_res05"
	type: "Convolution"
	param {
		name: "res5b_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2b_res05"
	top: "res5b_branch2b_res05"
	name: "bn5b_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2b_res05"
	top: "res5b_branch2b_res05"
	name: "scale5b_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5b_branch2b_res05"
	bottom: "res5b_branch2b_res05"
	name: "res5b_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5b_branch2b_res05"
	top: "res5b_branch2c_res05"
	name: "res5b_branch2c_res05"
	type: "Convolution"
	param {
		name: "res5b_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2c_res05"
	top: "res5b_branch2c_res05"
	name: "bn5b_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2c_res05"
	top: "res5b_branch2c_res05"
	name: "scale5b_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res5a_res05"
	bottom: "res5b_branch2c_res05"
	top: "res5b_res05"
	name: "res5b_res05"
	type: "Eltwise"
}

layer {
	bottom: "res5b_res05"
	top: "res5b_res05"
	name: "res5b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5b_res05"
	top: "res5c_branch2a_res05"
	name: "res5c_branch2a_res05"
	type: "Convolution"
	param {
		name: "res5c_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2a_res05"
	top: "res5c_branch2a_res05"
	name: "bn5c_branch2a_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2a_res05"
	top: "res5c_branch2a_res05"
	name: "scale5c_branch2a_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5c_branch2a_res05"
	bottom: "res5c_branch2a_res05"
	name: "res5c_branch2a_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5c_branch2a_res05"
	top: "res5c_branch2b_res05"
	name: "res5c_branch2b_res05"
	type: "Convolution"
	param {
		name: "res5c_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2b_res05"
	top: "res5c_branch2b_res05"
	name: "bn5c_branch2b_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2b_res05"
	top: "res5c_branch2b_res05"
	name: "scale5c_branch2b_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5c_branch2b_res05"
	bottom: "res5c_branch2b_res05"
	name: "res5c_branch2b_relu_res05"
	type: "ReLU"
}

layer {
	bottom: "res5c_branch2b_res05"
	top: "res5c_branch2c_res05"
	name: "res5c_branch2c_res05"
	type: "Convolution"
	param {
		name: "res5c_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2c_res05"
	top: "res5c_branch2c_res05"
	name: "bn5c_branch2c_res05"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2c_res05"
	top: "res5c_branch2c_res05"
	name: "scale5c_branch2c_res05"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res5b_res05"
	bottom: "res5c_branch2c_res05"
	top: "res5c_res05"
	name: "res5c_res05"
	type: "Eltwise"
}

layer {
	bottom: "res5c_res05"
	top: "res5c_res05"
	name: "res5c_relu_res05"
	type: "ReLU"
}

###################### resolution 3/4 #####################
layer {
	bottom: "data_res075"
	top: "conv1_res075"
	name: "conv1_res075"
	type: "Convolution"
	param {
		name: "conv1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 7
		pad: 3
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "conv1_res075"
	top: "conv1_res075"
	name: "bn_conv1_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn_conv1_0"
	      lr_mult: 0
	}
	param {
		name: "bn_conv1_1"
	      lr_mult: 0
        }
	param {
		name: "bn_conv1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "conv1_res075"
	top: "conv1_res075"
	name: "scale_conv1_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale_conv1_0"
	      lr_mult: 0
	}
	param {
		name: "scale_conv1_1"
	      lr_mult: 0
	}
}

layer {
	top: "conv1_res075"
	bottom: "conv1_res075"
	name: "conv1_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "conv1_res075"
	top: "pool1_res075"
	name: "pool1_res075"
	type: "Pooling"
	pooling_param {
		kernel_size: 3
		stride: 2
		pad: 1
		pool: MAX
	}
}

layer {
	bottom: "pool1_res075"
	top: "res2a_branch1_res075"
	name: "res2a_branch1_res075"
	type: "Convolution"
	param {
		name: "res2a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch1_res075"
	top: "res2a_branch1_res075"
	name: "bn2a_branch1_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch1_res075"
	top: "res2a_branch1_res075"
	name: "scale2a_branch1_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "pool1_res075"
	top: "res2a_branch2a_res075"
	name: "res2a_branch2a_res075"
	type: "Convolution"
	param {
		name: "res2a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2a_res075"
	top: "res2a_branch2a_res075"
	name: "bn2a_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2a_res075"
	top: "res2a_branch2a_res075"
	name: "scale2a_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2a_branch2a_res075"
	bottom: "res2a_branch2a_res075"
	name: "res2a_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2a_branch2a_res075"
	top: "res2a_branch2b_res075"
	name: "res2a_branch2b_res075"
	type: "Convolution"
	param {
		name: "res2a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2b_res075"
	top: "res2a_branch2b_res075"
	name: "bn2a_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2b_res075"
	top: "res2a_branch2b_res075"
	name: "scale2a_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2a_branch2b_res075"
	bottom: "res2a_branch2b_res075"
	name: "res2a_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2a_branch2b_res075"
	top: "res2a_branch2c_res075"
	name: "res2a_branch2c_res075"
	type: "Convolution"
	param {
		name: "res2a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2a_branch2c_res075"
	top: "res2a_branch2c_res075"
	name: "bn2a_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2a_branch2c_res075"
	top: "res2a_branch2c_res075"
	name: "scale2a_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2a_branch1_res075"
	bottom: "res2a_branch2c_res075"
	top: "res2a_res075"
	name: "res2a_res075"
	type: "Eltwise"
}

layer {
	bottom: "res2a_res075"
	top: "res2a_res075"
	name: "res2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2a_res075"
	top: "res2b_branch2a_res075"
	name: "res2b_branch2a_res075"
	type: "Convolution"
	param {
		name: "res2b_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2a_res075"
	top: "res2b_branch2a_res075"
	name: "bn2b_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2a_res075"
	top: "res2b_branch2a_res075"
	name: "scale2b_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2b_branch2a_res075"
	bottom: "res2b_branch2a_res075"
	name: "res2b_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2b_branch2a_res075"
	top: "res2b_branch2b_res075"
	name: "res2b_branch2b_res075"
	type: "Convolution"
	param {
		name: "res2b_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2b_res075"
	top: "res2b_branch2b_res075"
	name: "bn2b_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2b_res075"
	top: "res2b_branch2b_res075"
	name: "scale2b_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2b_branch2b_res075"
	bottom: "res2b_branch2b_res075"
	name: "res2b_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2b_branch2b_res075"
	top: "res2b_branch2c_res075"
	name: "res2b_branch2c_res075"
	type: "Convolution"
	param {
		name: "res2b_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2b_branch2c_res075"
	top: "res2b_branch2c_res075"
	name: "bn2b_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2b_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2b_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2b_branch2c_res075"
	top: "res2b_branch2c_res075"
	name: "scale2b_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2b_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2a_res075"
	bottom: "res2b_branch2c_res075"
	top: "res2b_res075"
	name: "res2b_res075"
	type: "Eltwise"
}

layer {
	bottom: "res2b_res075"
	top: "res2b_res075"
	name: "res2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2b_res075"
	top: "res2c_branch2a_res075"
	name: "res2c_branch2a_res075"
	type: "Convolution"
	param {
		name: "res2c_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2a_res075"
	top: "res2c_branch2a_res075"
	name: "bn2c_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2a_res075"
	top: "res2c_branch2a_res075"
	name: "scale2c_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2c_branch2a_res075"
	bottom: "res2c_branch2a_res075"
	name: "res2c_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2c_branch2a_res075"
	top: "res2c_branch2b_res075"
	name: "res2c_branch2b_res075"
	type: "Convolution"
	param {
		name: "res2c_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 64
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2b_res075"
	top: "res2c_branch2b_res075"
	name: "bn2c_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2b_res075"
	top: "res2c_branch2b_res075"
	name: "scale2c_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res2c_branch2b_res075"
	bottom: "res2c_branch2b_res075"
	name: "res2c_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2c_branch2b_res075"
	top: "res2c_branch2c_res075"
	name: "res2c_branch2c_res075"
	type: "Convolution"
	param {
		name: "res2c_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res2c_branch2c_res075"
	top: "res2c_branch2c_res075"
	name: "bn2c_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn2c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn2c_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn2c_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res2c_branch2c_res075"
	top: "res2c_branch2c_res075"
	name: "scale2c_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale2c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale2c_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2b_res075"
	bottom: "res2c_branch2c_res075"
	top: "res2c_res075"
	name: "res2c_res075"
	type: "Eltwise"
}

layer {
	bottom: "res2c_res075"
	top: "res2c_res075"
	name: "res2c_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res2c_res075"
	top: "res3a_branch1_res075"
	name: "res3a_branch1_res075"
	type: "Convolution"
	param {
		name: "res3a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch1_res075"
	top: "res3a_branch1_res075"
	name: "bn3a_branch1_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch1_res075"
	top: "res3a_branch1_res075"
	name: "scale3a_branch1_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res2c_res075"
	top: "res3a_branch2a_res075"
	name: "res3a_branch2a_res075"
	type: "Convolution"
	param {
		name: "res3a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 2
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2a_res075"
	top: "res3a_branch2a_res075"
	name: "bn3a_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2a_res075"
	top: "res3a_branch2a_res075"
	name: "scale3a_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3a_branch2a_res075"
	bottom: "res3a_branch2a_res075"
	name: "res3a_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3a_branch2a_res075"
	top: "res3a_branch2b_res075"
	name: "res3a_branch2b_res075"
	type: "Convolution"
	param {
		name: "res3a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2b_res075"
	top: "res3a_branch2b_res075"
	name: "bn3a_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2b_res075"
	top: "res3a_branch2b_res075"
	name: "scale3a_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3a_branch2b_res075"
	bottom: "res3a_branch2b_res075"
	name: "res3a_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3a_branch2b_res075"
	top: "res3a_branch2c_res075"
	name: "res3a_branch2c_res075"
	type: "Convolution"
	param {
		name: "res3a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3a_branch2c_res075"
	top: "res3a_branch2c_res075"
	name: "bn3a_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3a_branch2c_res075"
	top: "res3a_branch2c_res075"
	name: "scale3a_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3a_branch1_res075"
	bottom: "res3a_branch2c_res075"
	top: "res3a_res075"
	name: "res3a_res075"
	type: "Eltwise"
}

layer {
	bottom: "res3a_res075"
	top: "res3a_res075"
	name: "res3a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3a_res075"
	top: "res3b1_branch2a_res075"
	name: "res3b1_branch2a_res075"
	type: "Convolution"
	param {
		name: "res3b1_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2a_res075"
	top: "res3b1_branch2a_res075"
	name: "bn3b1_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2a_res075"
	top: "res3b1_branch2a_res075"
	name: "scale3b1_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b1_branch2a_res075"
	bottom: "res3b1_branch2a_res075"
	name: "res3b1_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b1_branch2a_res075"
	top: "res3b1_branch2b_res075"
	name: "res3b1_branch2b_res075"
	type: "Convolution"
	param {
		name: "res3b1_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2b_res075"
	top: "res3b1_branch2b_res075"
	name: "bn3b1_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2b_res075"
	top: "res3b1_branch2b_res075"
	name: "scale3b1_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b1_branch2b_res075"
	bottom: "res3b1_branch2b_res075"
	name: "res3b1_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b1_branch2b_res075"
	top: "res3b1_branch2c_res075"
	name: "res3b1_branch2c_res075"
	type: "Convolution"
	param {
		name: "res3b1_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b1_branch2c_res075"
	top: "res3b1_branch2c_res075"
	name: "bn3b1_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b1_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b1_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b1_branch2c_res075"
	top: "res3b1_branch2c_res075"
	name: "scale3b1_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b1_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3a_res075"
	bottom: "res3b1_branch2c_res075"
	top: "res3b1_res075"
	name: "res3b1_res075"
	type: "Eltwise"
}

layer {
	bottom: "res3b1_res075"
	top: "res3b1_res075"
	name: "res3b1_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b1_res075"
	top: "res3b2_branch2a_res075"
	name: "res3b2_branch2a_res075"
	type: "Convolution"
	param {
		name: "res3b2_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2a_res075"
	top: "res3b2_branch2a_res075"
	name: "bn3b2_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2a_res075"
	top: "res3b2_branch2a_res075"
	name: "scale3b2_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b2_branch2a_res075"
	bottom: "res3b2_branch2a_res075"
	name: "res3b2_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b2_branch2a_res075"
	top: "res3b2_branch2b_res075"
	name: "res3b2_branch2b_res075"
	type: "Convolution"
	param {
		name: "res3b2_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2b_res075"
	top: "res3b2_branch2b_res075"
	name: "bn3b2_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2b_res075"
	top: "res3b2_branch2b_res075"
	name: "scale3b2_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b2_branch2b_res075"
	bottom: "res3b2_branch2b_res075"
	name: "res3b2_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b2_branch2b_res075"
	top: "res3b2_branch2c_res075"
	name: "res3b2_branch2c_res075"
	type: "Convolution"
	param {
		name: "res3b2_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b2_branch2c_res075"
	top: "res3b2_branch2c_res075"
	name: "bn3b2_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b2_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b2_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b2_branch2c_res075"
	top: "res3b2_branch2c_res075"
	name: "scale3b2_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b2_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b1_res075"
	bottom: "res3b2_branch2c_res075"
	top: "res3b2_res075"
	name: "res3b2_res075"
	type: "Eltwise"
}

layer {
	bottom: "res3b2_res075"
	top: "res3b2_res075"
	name: "res3b2_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b2_res075"
	top: "res3b3_branch2a_res075"
	name: "res3b3_branch2a_res075"
	type: "Convolution"
	param {
		name: "res3b3_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2a_res075"
	top: "res3b3_branch2a_res075"
	name: "bn3b3_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2a_res075"
	top: "res3b3_branch2a_res075"
	name: "scale3b3_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b3_branch2a_res075"
	bottom: "res3b3_branch2a_res075"
	name: "res3b3_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b3_branch2a_res075"
	top: "res3b3_branch2b_res075"
	name: "res3b3_branch2b_res075"
	type: "Convolution"
	param {
		name: "res3b3_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 128
		kernel_size: 3
		pad: 1
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2b_res075"
	top: "res3b3_branch2b_res075"
	name: "bn3b3_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2b_res075"
	top: "res3b3_branch2b_res075"
	name: "scale3b3_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res3b3_branch2b_res075"
	bottom: "res3b3_branch2b_res075"
	name: "res3b3_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b3_branch2b_res075"
	top: "res3b3_branch2c_res075"
	name: "res3b3_branch2c_res075"
	type: "Convolution"
	param {
		name: "res3b3_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res3b3_branch2c_res075"
	top: "res3b3_branch2c_res075"
	name: "bn3b3_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn3b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn3b3_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn3b3_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res3b3_branch2c_res075"
	top: "res3b3_branch2c_res075"
	name: "scale3b3_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale3b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale3b3_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b2_res075"
	bottom: "res3b3_branch2c_res075"
	top: "res3b3_res075"
	name: "res3b3_res075"
	type: "Eltwise"
}

layer {
	bottom: "res3b3_res075"
	top: "res3b3_res075"
	name: "res3b3_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res3b3_res075"
	top: "res4a_branch1_res075"
	name: "res4a_branch1_res075"
	type: "Convolution"
	param {
		name: "res4a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch1_res075"
	top: "res4a_branch1_res075"
	name: "bn4a_branch1_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch1_res075"
	top: "res4a_branch1_res075"
	name: "scale4a_branch1_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res3b3_res075"
	top: "res4a_branch2a_res075"
	name: "res4a_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2a_res075"
	top: "res4a_branch2a_res075"
	name: "bn4a_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2a_res075"
	top: "res4a_branch2a_res075"
	name: "scale4a_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4a_branch2a_res075"
	bottom: "res4a_branch2a_res075"
	name: "res4a_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4a_branch2a_res075"
	top: "res4a_branch2b_res075"
	name: "res4a_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2b_res075"
	top: "res4a_branch2b_res075"
	name: "bn4a_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2b_res075"
	top: "res4a_branch2b_res075"
	name: "scale4a_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4a_branch2b_res075"
	bottom: "res4a_branch2b_res075"
	name: "res4a_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4a_branch2b_res075"
	top: "res4a_branch2c_res075"
	name: "res4a_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4a_branch2c_res075"
	top: "res4a_branch2c_res075"
	name: "bn4a_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4a_branch2c_res075"
	top: "res4a_branch2c_res075"
	name: "scale4a_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4a_branch1_res075"
	bottom: "res4a_branch2c_res075"
	top: "res4a_res075"
	name: "res4a_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4a_res075"
	top: "res4a_res075"
	name: "res4a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4a_res075"
	top: "res4b1_branch2a_res075"
	name: "res4b1_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b1_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2a_res075"
	top: "res4b1_branch2a_res075"
	name: "bn4b1_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2a_res075"
	top: "res4b1_branch2a_res075"
	name: "scale4b1_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b1_branch2a_res075"
	bottom: "res4b1_branch2a_res075"
	name: "res4b1_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b1_branch2a_res075"
	top: "res4b1_branch2b_res075"
	name: "res4b1_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b1_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2b_res075"
	top: "res4b1_branch2b_res075"
	name: "bn4b1_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2b_res075"
	top: "res4b1_branch2b_res075"
	name: "scale4b1_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b1_branch2b_res075"
	bottom: "res4b1_branch2b_res075"
	name: "res4b1_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b1_branch2b_res075"
	top: "res4b1_branch2c_res075"
	name: "res4b1_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b1_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b1_branch2c_res075"
	top: "res4b1_branch2c_res075"
	name: "bn4b1_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b1_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b1_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b1_branch2c_res075"
	top: "res4b1_branch2c_res075"
	name: "scale4b1_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b1_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b1_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4a_res075"
	bottom: "res4b1_branch2c_res075"
	top: "res4b1_res075"
	name: "res4b1_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b1_res075"
	top: "res4b1_res075"
	name: "res4b1_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b1_res075"
	top: "res4b2_branch2a_res075"
	name: "res4b2_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b2_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2a_res075"
	top: "res4b2_branch2a_res075"
	name: "bn4b2_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2a_res075"
	top: "res4b2_branch2a_res075"
	name: "scale4b2_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b2_branch2a_res075"
	bottom: "res4b2_branch2a_res075"
	name: "res4b2_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b2_branch2a_res075"
	top: "res4b2_branch2b_res075"
	name: "res4b2_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b2_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2b_res075"
	top: "res4b2_branch2b_res075"
	name: "bn4b2_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2b_res075"
	top: "res4b2_branch2b_res075"
	name: "scale4b2_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b2_branch2b_res075"
	bottom: "res4b2_branch2b_res075"
	name: "res4b2_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b2_branch2b_res075"
	top: "res4b2_branch2c_res075"
	name: "res4b2_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b2_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b2_branch2c_res075"
	top: "res4b2_branch2c_res075"
	name: "bn4b2_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b2_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b2_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b2_branch2c_res075"
	top: "res4b2_branch2c_res075"
	name: "scale4b2_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b2_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b2_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b1_res075"
	bottom: "res4b2_branch2c_res075"
	top: "res4b2_res075"
	name: "res4b2_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b2_res075"
	top: "res4b2_res075"
	name: "res4b2_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b2_res075"
	top: "res4b3_branch2a_res075"
	name: "res4b3_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b3_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2a_res075"
	top: "res4b3_branch2a_res075"
	name: "bn4b3_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2a_res075"
	top: "res4b3_branch2a_res075"
	name: "scale4b3_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b3_branch2a_res075"
	bottom: "res4b3_branch2a_res075"
	name: "res4b3_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b3_branch2a_res075"
	top: "res4b3_branch2b_res075"
	name: "res4b3_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b3_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2b_res075"
	top: "res4b3_branch2b_res075"
	name: "bn4b3_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2b_res075"
	top: "res4b3_branch2b_res075"
	name: "scale4b3_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b3_branch2b_res075"
	bottom: "res4b3_branch2b_res075"
	name: "res4b3_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b3_branch2b_res075"
	top: "res4b3_branch2c_res075"
	name: "res4b3_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b3_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b3_branch2c_res075"
	top: "res4b3_branch2c_res075"
	name: "bn4b3_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b3_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b3_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b3_branch2c_res075"
	top: "res4b3_branch2c_res075"
	name: "scale4b3_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b3_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b3_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b2_res075"
	bottom: "res4b3_branch2c_res075"
	top: "res4b3_res075"
	name: "res4b3_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b3_res075"
	top: "res4b3_res075"
	name: "res4b3_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b3_res075"
	top: "res4b4_branch2a_res075"
	name: "res4b4_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b4_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2a_res075"
	top: "res4b4_branch2a_res075"
	name: "bn4b4_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2a_res075"
	top: "res4b4_branch2a_res075"
	name: "scale4b4_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b4_branch2a_res075"
	bottom: "res4b4_branch2a_res075"
	name: "res4b4_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b4_branch2a_res075"
	top: "res4b4_branch2b_res075"
	name: "res4b4_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b4_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2b_res075"
	top: "res4b4_branch2b_res075"
	name: "bn4b4_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2b_res075"
	top: "res4b4_branch2b_res075"
	name: "scale4b4_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b4_branch2b_res075"
	bottom: "res4b4_branch2b_res075"
	name: "res4b4_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b4_branch2b_res075"
	top: "res4b4_branch2c_res075"
	name: "res4b4_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b4_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b4_branch2c_res075"
	top: "res4b4_branch2c_res075"
	name: "bn4b4_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b4_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b4_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b4_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b4_branch2c_res075"
	top: "res4b4_branch2c_res075"
	name: "scale4b4_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b4_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b4_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b3_res075"
	bottom: "res4b4_branch2c_res075"
	top: "res4b4_res075"
	name: "res4b4_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b4_res075"
	top: "res4b4_res075"
	name: "res4b4_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b4_res075"
	top: "res4b5_branch2a_res075"
	name: "res4b5_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b5_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2a_res075"
	top: "res4b5_branch2a_res075"
	name: "bn4b5_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2a_res075"
	top: "res4b5_branch2a_res075"
	name: "scale4b5_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b5_branch2a_res075"
	bottom: "res4b5_branch2a_res075"
	name: "res4b5_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b5_branch2a_res075"
	top: "res4b5_branch2b_res075"
	name: "res4b5_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b5_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2b_res075"
	top: "res4b5_branch2b_res075"
	name: "bn4b5_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2b_res075"
	top: "res4b5_branch2b_res075"
	name: "scale4b5_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b5_branch2b_res075"
	bottom: "res4b5_branch2b_res075"
	name: "res4b5_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b5_branch2b_res075"
	top: "res4b5_branch2c_res075"
	name: "res4b5_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b5_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b5_branch2c_res075"
	top: "res4b5_branch2c_res075"
	name: "bn4b5_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b5_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b5_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b5_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b5_branch2c_res075"
	top: "res4b5_branch2c_res075"
	name: "scale4b5_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b5_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b5_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b4_res075"
	bottom: "res4b5_branch2c_res075"
	top: "res4b5_res075"
	name: "res4b5_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b5_res075"
	top: "res4b5_res075"
	name: "res4b5_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b5_res075"
	top: "res4b6_branch2a_res075"
	name: "res4b6_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b6_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2a_res075"
	top: "res4b6_branch2a_res075"
	name: "bn4b6_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2a_res075"
	top: "res4b6_branch2a_res075"
	name: "scale4b6_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b6_branch2a_res075"
	bottom: "res4b6_branch2a_res075"
	name: "res4b6_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b6_branch2a_res075"
	top: "res4b6_branch2b_res075"
	name: "res4b6_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b6_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2b_res075"
	top: "res4b6_branch2b_res075"
	name: "bn4b6_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2b_res075"
	top: "res4b6_branch2b_res075"
	name: "scale4b6_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b6_branch2b_res075"
	bottom: "res4b6_branch2b_res075"
	name: "res4b6_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b6_branch2b_res075"
	top: "res4b6_branch2c_res075"
	name: "res4b6_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b6_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b6_branch2c_res075"
	top: "res4b6_branch2c_res075"
	name: "bn4b6_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b6_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b6_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b6_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b6_branch2c_res075"
	top: "res4b6_branch2c_res075"
	name: "scale4b6_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b6_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b6_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b5_res075"
	bottom: "res4b6_branch2c_res075"
	top: "res4b6_res075"
	name: "res4b6_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b6_res075"
	top: "res4b6_res075"
	name: "res4b6_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b6_res075"
	top: "res4b7_branch2a_res075"
	name: "res4b7_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b7_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2a_res075"
	top: "res4b7_branch2a_res075"
	name: "bn4b7_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2a_res075"
	top: "res4b7_branch2a_res075"
	name: "scale4b7_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b7_branch2a_res075"
	bottom: "res4b7_branch2a_res075"
	name: "res4b7_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b7_branch2a_res075"
	top: "res4b7_branch2b_res075"
	name: "res4b7_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b7_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2b_res075"
	top: "res4b7_branch2b_res075"
	name: "bn4b7_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2b_res075"
	top: "res4b7_branch2b_res075"
	name: "scale4b7_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b7_branch2b_res075"
	bottom: "res4b7_branch2b_res075"
	name: "res4b7_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b7_branch2b_res075"
	top: "res4b7_branch2c_res075"
	name: "res4b7_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b7_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b7_branch2c_res075"
	top: "res4b7_branch2c_res075"
	name: "bn4b7_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b7_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b7_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b7_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b7_branch2c_res075"
	top: "res4b7_branch2c_res075"
	name: "scale4b7_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b7_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b7_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b6_res075"
	bottom: "res4b7_branch2c_res075"
	top: "res4b7_res075"
	name: "res4b7_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b7_res075"
	top: "res4b7_res075"
	name: "res4b7_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b7_res075"
	top: "res4b8_branch2a_res075"
	name: "res4b8_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b8_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2a_res075"
	top: "res4b8_branch2a_res075"
	name: "bn4b8_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2a_res075"
	top: "res4b8_branch2a_res075"
	name: "scale4b8_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b8_branch2a_res075"
	bottom: "res4b8_branch2a_res075"
	name: "res4b8_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b8_branch2a_res075"
	top: "res4b8_branch2b_res075"
	name: "res4b8_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b8_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2b_res075"
	top: "res4b8_branch2b_res075"
	name: "bn4b8_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2b_res075"
	top: "res4b8_branch2b_res075"
	name: "scale4b8_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b8_branch2b_res075"
	bottom: "res4b8_branch2b_res075"
	name: "res4b8_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b8_branch2b_res075"
	top: "res4b8_branch2c_res075"
	name: "res4b8_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b8_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b8_branch2c_res075"
	top: "res4b8_branch2c_res075"
	name: "bn4b8_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b8_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b8_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b8_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b8_branch2c_res075"
	top: "res4b8_branch2c_res075"
	name: "scale4b8_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b8_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b8_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b7_res075"
	bottom: "res4b8_branch2c_res075"
	top: "res4b8_res075"
	name: "res4b8_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b8_res075"
	top: "res4b8_res075"
	name: "res4b8_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b8_res075"
	top: "res4b9_branch2a_res075"
	name: "res4b9_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b9_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2a_res075"
	top: "res4b9_branch2a_res075"
	name: "bn4b9_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2a_res075"
	top: "res4b9_branch2a_res075"
	name: "scale4b9_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b9_branch2a_res075"
	bottom: "res4b9_branch2a_res075"
	name: "res4b9_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b9_branch2a_res075"
	top: "res4b9_branch2b_res075"
	name: "res4b9_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b9_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2b_res075"
	top: "res4b9_branch2b_res075"
	name: "bn4b9_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2b_res075"
	top: "res4b9_branch2b_res075"
	name: "scale4b9_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b9_branch2b_res075"
	bottom: "res4b9_branch2b_res075"
	name: "res4b9_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b9_branch2b_res075"
	top: "res4b9_branch2c_res075"
	name: "res4b9_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b9_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b9_branch2c_res075"
	top: "res4b9_branch2c_res075"
	name: "bn4b9_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b9_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b9_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b9_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b9_branch2c_res075"
	top: "res4b9_branch2c_res075"
	name: "scale4b9_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b9_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b9_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b8_res075"
	bottom: "res4b9_branch2c_res075"
	top: "res4b9_res075"
	name: "res4b9_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b9_res075"
	top: "res4b9_res075"
	name: "res4b9_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b9_res075"
	top: "res4b10_branch2a_res075"
	name: "res4b10_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b10_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2a_res075"
	top: "res4b10_branch2a_res075"
	name: "bn4b10_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2a_res075"
	top: "res4b10_branch2a_res075"
	name: "scale4b10_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b10_branch2a_res075"
	bottom: "res4b10_branch2a_res075"
	name: "res4b10_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b10_branch2a_res075"
	top: "res4b10_branch2b_res075"
	name: "res4b10_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b10_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2b_res075"
	top: "res4b10_branch2b_res075"
	name: "bn4b10_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2b_res075"
	top: "res4b10_branch2b_res075"
	name: "scale4b10_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b10_branch2b_res075"
	bottom: "res4b10_branch2b_res075"
	name: "res4b10_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b10_branch2b_res075"
	top: "res4b10_branch2c_res075"
	name: "res4b10_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b10_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b10_branch2c_res075"
	top: "res4b10_branch2c_res075"
	name: "bn4b10_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b10_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b10_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b10_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b10_branch2c_res075"
	top: "res4b10_branch2c_res075"
	name: "scale4b10_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b10_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b10_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b9_res075"
	bottom: "res4b10_branch2c_res075"
	top: "res4b10_res075"
	name: "res4b10_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b10_res075"
	top: "res4b10_res075"
	name: "res4b10_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b10_res075"
	top: "res4b11_branch2a_res075"
	name: "res4b11_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b11_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2a_res075"
	top: "res4b11_branch2a_res075"
	name: "bn4b11_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2a_res075"
	top: "res4b11_branch2a_res075"
	name: "scale4b11_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b11_branch2a_res075"
	bottom: "res4b11_branch2a_res075"
	name: "res4b11_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b11_branch2a_res075"
	top: "res4b11_branch2b_res075"
	name: "res4b11_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b11_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2b_res075"
	top: "res4b11_branch2b_res075"
	name: "bn4b11_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2b_res075"
	top: "res4b11_branch2b_res075"
	name: "scale4b11_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b11_branch2b_res075"
	bottom: "res4b11_branch2b_res075"
	name: "res4b11_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b11_branch2b_res075"
	top: "res4b11_branch2c_res075"
	name: "res4b11_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b11_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b11_branch2c_res075"
	top: "res4b11_branch2c_res075"
	name: "bn4b11_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b11_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b11_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b11_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b11_branch2c_res075"
	top: "res4b11_branch2c_res075"
	name: "scale4b11_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b11_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b11_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b10_res075"
	bottom: "res4b11_branch2c_res075"
	top: "res4b11_res075"
	name: "res4b11_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b11_res075"
	top: "res4b11_res075"
	name: "res4b11_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b11_res075"
	top: "res4b12_branch2a_res075"
	name: "res4b12_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b12_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2a_res075"
	top: "res4b12_branch2a_res075"
	name: "bn4b12_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2a_res075"
	top: "res4b12_branch2a_res075"
	name: "scale4b12_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b12_branch2a_res075"
	bottom: "res4b12_branch2a_res075"
	name: "res4b12_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b12_branch2a_res075"
	top: "res4b12_branch2b_res075"
	name: "res4b12_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b12_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2b_res075"
	top: "res4b12_branch2b_res075"
	name: "bn4b12_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2b_res075"
	top: "res4b12_branch2b_res075"
	name: "scale4b12_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b12_branch2b_res075"
	bottom: "res4b12_branch2b_res075"
	name: "res4b12_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b12_branch2b_res075"
	top: "res4b12_branch2c_res075"
	name: "res4b12_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b12_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b12_branch2c_res075"
	top: "res4b12_branch2c_res075"
	name: "bn4b12_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b12_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b12_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b12_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b12_branch2c_res075"
	top: "res4b12_branch2c_res075"
	name: "scale4b12_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b12_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b12_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b11_res075"
	bottom: "res4b12_branch2c_res075"
	top: "res4b12_res075"
	name: "res4b12_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b12_res075"
	top: "res4b12_res075"
	name: "res4b12_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b12_res075"
	top: "res4b13_branch2a_res075"
	name: "res4b13_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b13_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2a_res075"
	top: "res4b13_branch2a_res075"
	name: "bn4b13_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2a_res075"
	top: "res4b13_branch2a_res075"
	name: "scale4b13_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b13_branch2a_res075"
	bottom: "res4b13_branch2a_res075"
	name: "res4b13_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b13_branch2a_res075"
	top: "res4b13_branch2b_res075"
	name: "res4b13_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b13_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2b_res075"
	top: "res4b13_branch2b_res075"
	name: "bn4b13_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2b_res075"
	top: "res4b13_branch2b_res075"
	name: "scale4b13_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b13_branch2b_res075"
	bottom: "res4b13_branch2b_res075"
	name: "res4b13_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b13_branch2b_res075"
	top: "res4b13_branch2c_res075"
	name: "res4b13_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b13_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b13_branch2c_res075"
	top: "res4b13_branch2c_res075"
	name: "bn4b13_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b13_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b13_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b13_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b13_branch2c_res075"
	top: "res4b13_branch2c_res075"
	name: "scale4b13_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b13_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b13_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b12_res075"
	bottom: "res4b13_branch2c_res075"
	top: "res4b13_res075"
	name: "res4b13_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b13_res075"
	top: "res4b13_res075"
	name: "res4b13_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b13_res075"
	top: "res4b14_branch2a_res075"
	name: "res4b14_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b14_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2a_res075"
	top: "res4b14_branch2a_res075"
	name: "bn4b14_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2a_res075"
	top: "res4b14_branch2a_res075"
	name: "scale4b14_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b14_branch2a_res075"
	bottom: "res4b14_branch2a_res075"
	name: "res4b14_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b14_branch2a_res075"
	top: "res4b14_branch2b_res075"
	name: "res4b14_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b14_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2b_res075"
	top: "res4b14_branch2b_res075"
	name: "bn4b14_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2b_res075"
	top: "res4b14_branch2b_res075"
	name: "scale4b14_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b14_branch2b_res075"
	bottom: "res4b14_branch2b_res075"
	name: "res4b14_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b14_branch2b_res075"
	top: "res4b14_branch2c_res075"
	name: "res4b14_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b14_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b14_branch2c_res075"
	top: "res4b14_branch2c_res075"
	name: "bn4b14_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b14_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b14_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b14_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b14_branch2c_res075"
	top: "res4b14_branch2c_res075"
	name: "scale4b14_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b14_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b14_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b13_res075"
	bottom: "res4b14_branch2c_res075"
	top: "res4b14_res075"
	name: "res4b14_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b14_res075"
	top: "res4b14_res075"
	name: "res4b14_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b14_res075"
	top: "res4b15_branch2a_res075"
	name: "res4b15_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b15_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2a_res075"
	top: "res4b15_branch2a_res075"
	name: "bn4b15_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2a_res075"
	top: "res4b15_branch2a_res075"
	name: "scale4b15_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b15_branch2a_res075"
	bottom: "res4b15_branch2a_res075"
	name: "res4b15_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b15_branch2a_res075"
	top: "res4b15_branch2b_res075"
	name: "res4b15_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b15_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2b_res075"
	top: "res4b15_branch2b_res075"
	name: "bn4b15_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2b_res075"
	top: "res4b15_branch2b_res075"
	name: "scale4b15_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b15_branch2b_res075"
	bottom: "res4b15_branch2b_res075"
	name: "res4b15_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b15_branch2b_res075"
	top: "res4b15_branch2c_res075"
	name: "res4b15_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b15_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b15_branch2c_res075"
	top: "res4b15_branch2c_res075"
	name: "bn4b15_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b15_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b15_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b15_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b15_branch2c_res075"
	top: "res4b15_branch2c_res075"
	name: "scale4b15_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b15_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b15_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b14_res075"
	bottom: "res4b15_branch2c_res075"
	top: "res4b15_res075"
	name: "res4b15_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b15_res075"
	top: "res4b15_res075"
	name: "res4b15_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b15_res075"
	top: "res4b16_branch2a_res075"
	name: "res4b16_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b16_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2a_res075"
	top: "res4b16_branch2a_res075"
	name: "bn4b16_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2a_res075"
	top: "res4b16_branch2a_res075"
	name: "scale4b16_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b16_branch2a_res075"
	bottom: "res4b16_branch2a_res075"
	name: "res4b16_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b16_branch2a_res075"
	top: "res4b16_branch2b_res075"
	name: "res4b16_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b16_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2b_res075"
	top: "res4b16_branch2b_res075"
	name: "bn4b16_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2b_res075"
	top: "res4b16_branch2b_res075"
	name: "scale4b16_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b16_branch2b_res075"
	bottom: "res4b16_branch2b_res075"
	name: "res4b16_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b16_branch2b_res075"
	top: "res4b16_branch2c_res075"
	name: "res4b16_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b16_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b16_branch2c_res075"
	top: "res4b16_branch2c_res075"
	name: "bn4b16_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b16_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b16_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b16_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b16_branch2c_res075"
	top: "res4b16_branch2c_res075"
	name: "scale4b16_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b16_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b16_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b15_res075"
	bottom: "res4b16_branch2c_res075"
	top: "res4b16_res075"
	name: "res4b16_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b16_res075"
	top: "res4b16_res075"
	name: "res4b16_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b16_res075"
	top: "res4b17_branch2a_res075"
	name: "res4b17_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b17_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2a_res075"
	top: "res4b17_branch2a_res075"
	name: "bn4b17_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2a_res075"
	top: "res4b17_branch2a_res075"
	name: "scale4b17_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b17_branch2a_res075"
	bottom: "res4b17_branch2a_res075"
	name: "res4b17_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b17_branch2a_res075"
	top: "res4b17_branch2b_res075"
	name: "res4b17_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b17_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2b_res075"
	top: "res4b17_branch2b_res075"
	name: "bn4b17_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2b_res075"
	top: "res4b17_branch2b_res075"
	name: "scale4b17_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b17_branch2b_res075"
	bottom: "res4b17_branch2b_res075"
	name: "res4b17_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b17_branch2b_res075"
	top: "res4b17_branch2c_res075"
	name: "res4b17_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b17_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b17_branch2c_res075"
	top: "res4b17_branch2c_res075"
	name: "bn4b17_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b17_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b17_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b17_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b17_branch2c_res075"
	top: "res4b17_branch2c_res075"
	name: "scale4b17_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b17_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b17_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b16_res075"
	bottom: "res4b17_branch2c_res075"
	top: "res4b17_res075"
	name: "res4b17_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b17_res075"
	top: "res4b17_res075"
	name: "res4b17_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b17_res075"
	top: "res4b18_branch2a_res075"
	name: "res4b18_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b18_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2a_res075"
	top: "res4b18_branch2a_res075"
	name: "bn4b18_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2a_res075"
	top: "res4b18_branch2a_res075"
	name: "scale4b18_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b18_branch2a_res075"
	bottom: "res4b18_branch2a_res075"
	name: "res4b18_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b18_branch2a_res075"
	top: "res4b18_branch2b_res075"
	name: "res4b18_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b18_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2b_res075"
	top: "res4b18_branch2b_res075"
	name: "bn4b18_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2b_res075"
	top: "res4b18_branch2b_res075"
	name: "scale4b18_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b18_branch2b_res075"
	bottom: "res4b18_branch2b_res075"
	name: "res4b18_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b18_branch2b_res075"
	top: "res4b18_branch2c_res075"
	name: "res4b18_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b18_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b18_branch2c_res075"
	top: "res4b18_branch2c_res075"
	name: "bn4b18_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b18_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b18_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b18_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b18_branch2c_res075"
	top: "res4b18_branch2c_res075"
	name: "scale4b18_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b18_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b18_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b17_res075"
	bottom: "res4b18_branch2c_res075"
	top: "res4b18_res075"
	name: "res4b18_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b18_res075"
	top: "res4b18_res075"
	name: "res4b18_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b18_res075"
	top: "res4b19_branch2a_res075"
	name: "res4b19_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b19_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2a_res075"
	top: "res4b19_branch2a_res075"
	name: "bn4b19_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2a_res075"
	top: "res4b19_branch2a_res075"
	name: "scale4b19_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b19_branch2a_res075"
	bottom: "res4b19_branch2a_res075"
	name: "res4b19_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b19_branch2a_res075"
	top: "res4b19_branch2b_res075"
	name: "res4b19_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b19_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2b_res075"
	top: "res4b19_branch2b_res075"
	name: "bn4b19_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2b_res075"
	top: "res4b19_branch2b_res075"
	name: "scale4b19_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b19_branch2b_res075"
	bottom: "res4b19_branch2b_res075"
	name: "res4b19_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b19_branch2b_res075"
	top: "res4b19_branch2c_res075"
	name: "res4b19_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b19_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b19_branch2c_res075"
	top: "res4b19_branch2c_res075"
	name: "bn4b19_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b19_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b19_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b19_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b19_branch2c_res075"
	top: "res4b19_branch2c_res075"
	name: "scale4b19_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b19_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b19_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b18_res075"
	bottom: "res4b19_branch2c_res075"
	top: "res4b19_res075"
	name: "res4b19_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b19_res075"
	top: "res4b19_res075"
	name: "res4b19_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b19_res075"
	top: "res4b20_branch2a_res075"
	name: "res4b20_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b20_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2a_res075"
	top: "res4b20_branch2a_res075"
	name: "bn4b20_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2a_res075"
	top: "res4b20_branch2a_res075"
	name: "scale4b20_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b20_branch2a_res075"
	bottom: "res4b20_branch2a_res075"
	name: "res4b20_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b20_branch2a_res075"
	top: "res4b20_branch2b_res075"
	name: "res4b20_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b20_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2b_res075"
	top: "res4b20_branch2b_res075"
	name: "bn4b20_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2b_res075"
	top: "res4b20_branch2b_res075"
	name: "scale4b20_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b20_branch2b_res075"
	bottom: "res4b20_branch2b_res075"
	name: "res4b20_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b20_branch2b_res075"
	top: "res4b20_branch2c_res075"
	name: "res4b20_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b20_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b20_branch2c_res075"
	top: "res4b20_branch2c_res075"
	name: "bn4b20_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b20_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b20_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b20_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b20_branch2c_res075"
	top: "res4b20_branch2c_res075"
	name: "scale4b20_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b20_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b20_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b19_res075"
	bottom: "res4b20_branch2c_res075"
	top: "res4b20_res075"
	name: "res4b20_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b20_res075"
	top: "res4b20_res075"
	name: "res4b20_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b20_res075"
	top: "res4b21_branch2a_res075"
	name: "res4b21_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b21_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2a_res075"
	top: "res4b21_branch2a_res075"
	name: "bn4b21_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2a_res075"
	top: "res4b21_branch2a_res075"
	name: "scale4b21_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b21_branch2a_res075"
	bottom: "res4b21_branch2a_res075"
	name: "res4b21_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b21_branch2a_res075"
	top: "res4b21_branch2b_res075"
	name: "res4b21_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b21_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2b_res075"
	top: "res4b21_branch2b_res075"
	name: "bn4b21_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2b_res075"
	top: "res4b21_branch2b_res075"
	name: "scale4b21_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b21_branch2b_res075"
	bottom: "res4b21_branch2b_res075"
	name: "res4b21_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b21_branch2b_res075"
	top: "res4b21_branch2c_res075"
	name: "res4b21_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b21_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b21_branch2c_res075"
	top: "res4b21_branch2c_res075"
	name: "bn4b21_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b21_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b21_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b21_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b21_branch2c_res075"
	top: "res4b21_branch2c_res075"
	name: "scale4b21_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b21_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b21_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b20_res075"
	bottom: "res4b21_branch2c_res075"
	top: "res4b21_res075"
	name: "res4b21_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b21_res075"
	top: "res4b21_res075"
	name: "res4b21_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b21_res075"
	top: "res4b22_branch2a_res075"
	name: "res4b22_branch2a_res075"
	type: "Convolution"
	param {
		name: "res4b22_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2a_res075"
	top: "res4b22_branch2a_res075"
	name: "bn4b22_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2a_res075"
	top: "res4b22_branch2a_res075"
	name: "scale4b22_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b22_branch2a_res075"
	bottom: "res4b22_branch2a_res075"
	name: "res4b22_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b22_branch2a_res075"
	top: "res4b22_branch2b_res075"
	name: "res4b22_branch2b_res075"
	type: "Convolution"
	param {
		name: "res4b22_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 256
		kernel_size: 3
		pad: 2
		dilation: 2
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2b_res075"
	top: "res4b22_branch2b_res075"
	name: "bn4b22_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2b_res075"
	top: "res4b22_branch2b_res075"
	name: "scale4b22_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res4b22_branch2b_res075"
	bottom: "res4b22_branch2b_res075"
	name: "res4b22_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b22_branch2b_res075"
	top: "res4b22_branch2c_res075"
	name: "res4b22_branch2c_res075"
	type: "Convolution"
	param {
		name: "res4b22_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 1024
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res4b22_branch2c_res075"
	top: "res4b22_branch2c_res075"
	name: "bn4b22_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn4b22_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn4b22_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn4b22_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res4b22_branch2c_res075"
	top: "res4b22_branch2c_res075"
	name: "scale4b22_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale4b22_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale4b22_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b21_res075"
	bottom: "res4b22_branch2c_res075"
	top: "res4b22_res075"
	name: "res4b22_res075"
	type: "Eltwise"
}

layer {
	bottom: "res4b22_res075"
	top: "res4b22_res075"
	name: "res4b22_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res4b22_res075"
	top: "res5a_branch1_res075"
	name: "res5a_branch1_res075"
	type: "Convolution"
	param {
		name: "res5a_branch1_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch1_res075"
	top: "res5a_branch1_res075"
	name: "bn5a_branch1_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch1_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch1_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch1_res075"
	top: "res5a_branch1_res075"
	name: "scale5a_branch1_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch1_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch1_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res4b22_res075"
	top: "res5a_branch2a_res075"
	name: "res5a_branch2a_res075"
	type: "Convolution"
	param {
		name: "res5a_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2a_res075"
	top: "res5a_branch2a_res075"
	name: "bn5a_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2a_res075"
	top: "res5a_branch2a_res075"
	name: "scale5a_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5a_branch2a_res075"
	bottom: "res5a_branch2a_res075"
	name: "res5a_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5a_branch2a_res075"
	top: "res5a_branch2b_res075"
	name: "res5a_branch2b_res075"
	type: "Convolution"
	param {
		name: "res5a_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2b_res075"
	top: "res5a_branch2b_res075"
	name: "bn5a_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2b_res075"
	top: "res5a_branch2b_res075"
	name: "scale5a_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5a_branch2b_res075"
	bottom: "res5a_branch2b_res075"
	name: "res5a_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5a_branch2b_res075"
	top: "res5a_branch2c_res075"
	name: "res5a_branch2c_res075"
	type: "Convolution"
	param {
		name: "res5a_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5a_branch2c_res075"
	top: "res5a_branch2c_res075"
	name: "bn5a_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5a_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5a_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5a_branch2c_res075"
	top: "res5a_branch2c_res075"
	name: "scale5a_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5a_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5a_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res5a_branch1_res075"
	bottom: "res5a_branch2c_res075"
	top: "res5a_res075"
	name: "res5a_res075"
	type: "Eltwise"
}

layer {
	bottom: "res5a_res075"
	top: "res5a_res075"
	name: "res5a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5a_res075"
	top: "res5b_branch2a_res075"
	name: "res5b_branch2a_res075"
	type: "Convolution"
	param {
		name: "res5b_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2a_res075"
	top: "res5b_branch2a_res075"
	name: "bn5b_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2a_res075"
	top: "res5b_branch2a_res075"
	name: "scale5b_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5b_branch2a_res075"
	bottom: "res5b_branch2a_res075"
	name: "res5b_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5b_branch2a_res075"
	top: "res5b_branch2b_res075"
	name: "res5b_branch2b_res075"
	type: "Convolution"
	param {
		name: "res5b_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2b_res075"
	top: "res5b_branch2b_res075"
	name: "bn5b_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2b_res075"
	top: "res5b_branch2b_res075"
	name: "scale5b_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5b_branch2b_res075"
	bottom: "res5b_branch2b_res075"
	name: "res5b_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5b_branch2b_res075"
	top: "res5b_branch2c_res075"
	name: "res5b_branch2c_res075"
	type: "Convolution"
	param {
		name: "res5b_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5b_branch2c_res075"
	top: "res5b_branch2c_res075"
	name: "bn5b_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5b_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5b_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5b_branch2c_res075"
	top: "res5b_branch2c_res075"
	name: "scale5b_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5b_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5b_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res5a_res075"
	bottom: "res5b_branch2c_res075"
	top: "res5b_res075"
	name: "res5b_res075"
	type: "Eltwise"
}

layer {
	bottom: "res5b_res075"
	top: "res5b_res075"
	name: "res5b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5b_res075"
	top: "res5c_branch2a_res075"
	name: "res5c_branch2a_res075"
	type: "Convolution"
	param {
		name: "res5c_branch2a_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2a_res075"
	top: "res5c_branch2a_res075"
	name: "bn5c_branch2a_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2a_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2a_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2a_res075"
	top: "res5c_branch2a_res075"
	name: "scale5c_branch2a_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2a_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2a_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5c_branch2a_res075"
	bottom: "res5c_branch2a_res075"
	name: "res5c_branch2a_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5c_branch2a_res075"
	top: "res5c_branch2b_res075"
	name: "res5c_branch2b_res075"
	type: "Convolution"
	param {
		name: "res5c_branch2b_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 512
		kernel_size: 3
		pad: 4
		dilation: 4
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2b_res075"
	top: "res5c_branch2b_res075"
	name: "bn5c_branch2b_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2b_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2b_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2b_res075"
	top: "res5c_branch2b_res075"
	name: "scale5c_branch2b_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2b_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2b_1"
	      lr_mult: 0
	}
}

layer {
	top: "res5c_branch2b_res075"
	bottom: "res5c_branch2b_res075"
	name: "res5c_branch2b_relu_res075"
	type: "ReLU"
}

layer {
	bottom: "res5c_branch2b_res075"
	top: "res5c_branch2c_res075"
	name: "res5c_branch2c_res075"
	type: "Convolution"
	param {
		name: "res5c_branch2c_0"
               lr_mult: 1
               decay_mult: 1
        }
        convolution_param {
		num_output: 2048
		kernel_size: 1
		pad: 0
		stride: 1
		bias_term: false
	}
}

layer {
	bottom: "res5c_branch2c_res075"
	top: "res5c_branch2c_res075"
	name: "bn5c_branch2c_res075"
	type: "BatchNorm"
	batch_norm_param {
		use_global_stats: true
	}
	param {
		name: "bn5c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "bn5c_branch2c_1"
	      lr_mult: 0
        }
	param {
		name: "bn5c_branch2c_2"
	      lr_mult: 0
        }
}

layer {
	bottom: "res5c_branch2c_res075"
	top: "res5c_branch2c_res075"
	name: "scale5c_branch2c_res075"
	type: "Scale"
	scale_param {
		bias_term: true
	}
	param {
		name: "scale5c_branch2c_0"
	      lr_mult: 0
	}
	param {
		name: "scale5c_branch2c_1"
	      lr_mult: 0
	}
}

layer {
	bottom: "res5b_res075"
	bottom: "res5c_branch2c_res075"
	top: "res5c_res075"
	name: "res5c_res075"
	type: "Eltwise"
}

layer {
	bottom: "res5c_res075"
	top: "res5c_res075"
	name: "res5c_relu_res075"
	type: "ReLU"
}


############################### classifiers ##########################
layer {
  name: "fc1_voc12_c0"
  type: "Convolution"
  bottom: "res5c"
  top: "fc1_voc12_c0"
  param {
    name: "fc1_voc12_c0_w"
  }
  param {
    name: "fc1_voc12_c0_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    pad: 6
    dilation: 6
  }
}

layer {
  name: "fc1_voc12_c1"
  type: "Convolution"
  bottom: "res5c"
  top: "fc1_voc12_c1"
  param {
    name: "fc1_voc12_c1_w"
  }
  param {
    name: "fc1_voc12_c1_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 12
    pad: 12
  }
}

layer {
  name: "fc1_voc12_c2"
  type: "Convolution"
  bottom: "res5c"
  top: "fc1_voc12_c2"
  param {
    name: "fc1_voc12_c2_w"
  }
  param {
    name: "fc1_voc12_c2_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 18
    pad: 18
  }
}

layer {
  name: "fc1_voc12_c3"
  type: "Convolution"
  bottom: "res5c"
  top: "fc1_voc12_c3"
  param {
    name: "fc1_voc12_c3_w"
  }
  param {
    name: "fc1_voc12_c3_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 24
    pad: 24
  }
}

### SUM the all branches

layer {
  bottom: "fc1_voc12_c0"
  bottom: "fc1_voc12_c1"
  bottom: "fc1_voc12_c2"
  bottom: "fc1_voc12_c3"
  top: "fc1_voc12"
  name: "fc1_voc12"
  type: "Eltwise"
  eltwise_param {
    operation: SUM
  }
}

######################## classifier for res 0.5 #################

layer {
  name: "fc1_voc12_res05_c0"
  type: "Convolution"
  bottom: "res5c_res05"
  top: "fc1_voc12_res05_c0"
  param {
    name: "fc1_voc12_c0_w"
  }
  param {
    name: "fc1_voc12_c0_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    pad: 6
    dilation: 6
  }
}

layer {
  name: "fc1_voc12_res05_c1"
  type: "Convolution"
  bottom: "res5c_res05"
  top: "fc1_voc12_res05_c1"
  param {
    name: "fc1_voc12_c1_w"
  }
  param {
    name: "fc1_voc12_c1_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 12
    pad: 12
  }
}
layer {
  name: "fc1_voc12_res05_c2"
  type: "Convolution"
  bottom: "res5c_res05"
  top: "fc1_voc12_res05_c2"
  param {
    name: "fc1_voc12_c2_w"
  }
  param {
    name: "fc1_voc12_c2_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 18
    pad: 18
  }
}
layer {
  name: "fc1_voc12_res05_c3"
  type: "Convolution"
  bottom: "res5c_res05"
  top: "fc1_voc12_res05_c3"
  param {
    name: "fc1_voc12_c3_w"
  }
  param {
    name: "fc1_voc12_c3_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 24
    pad: 24
  }
}

### SUM the all branches

layer {
  bottom: "fc1_voc12_res05_c0"
  bottom: "fc1_voc12_res05_c1"
  bottom: "fc1_voc12_res05_c2"
  bottom: "fc1_voc12_res05_c3"
  top: "fc1_voc12_res05"
  name: "fc1_voc12_res05"
  type: "Eltwise"
  eltwise_param {
    operation: SUM
  }
}


################### classifier for res 0.75 ###########

layer {
  name: "fc1_voc12_res075_c0"
  type: "Convolution"
  bottom: "res5c_res075"
  top: "fc1_voc12_res075_c0"
  param {
    name: "fc1_voc12_c0_w"
  }
  param {
    name: "fc1_voc12_c0_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    pad: 6
    dilation: 6
  }
}

layer {
  name: "fc1_voc12_res075_c1"
  type: "Convolution"
  bottom: "res5c_res075"
  top: "fc1_voc12_res075_c1"
  param {
    name: "fc1_voc12_c1_w"
  }
  param {
    name: "fc1_voc12_c1_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 12
    pad: 12
  }
}

layer {
  name: "fc1_voc12_res075_c2"
  type: "Convolution"
  bottom: "res5c_res075"
  top: "fc1_voc12_res075_c2"
  param {
    name: "fc1_voc12_c2_w"
  }
  param {
    name: "fc1_voc12_c2_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 18
    pad: 18
  }
}

layer {
  name: "fc1_voc12_res075_c3"
  type: "Convolution"
  bottom: "res5c_res075"
  top: "fc1_voc12_res075_c3"
  param {
    name: "fc1_voc12_c3_w"
  }
  param {
    name: "fc1_voc12_c3_b"
  }
  convolution_param {
    num_output: 21
    kernel_size: 3
    dilation: 24
    pad: 24
  }
}

### SUM the all branches

layer {
  bottom: "fc1_voc12_res075_c0"
  bottom: "fc1_voc12_res075_c1"
  bottom: "fc1_voc12_res075_c2"
  bottom: "fc1_voc12_res075_c3"
  top: "fc1_voc12_res075"
  name: "fc1_voc12_res075"
  type: "Eltwise"
  eltwise_param {
    operation: SUM
  }
}
############### upsampling ##################
layer {
  bottom: "fc1_voc12_res05"
  top: "fc1_voc12_res05_interp"
  name: "fc1_voc12_res05_interp"
  type: "Interp"
  interp_param {
    zoom_factor: 2
    pad_beg: 0
    pad_end: 0
  }
}
layer {
  bottom: "fc1_voc12_res075"
  top: "fc1_voc12_res075_interp"
  name: "fc1_voc12_res075_interp"
  type: "Interp"
  interp_param {
    zoom_factor: 4
    shrink_factor: 3    
    pad_beg: 0
    pad_end: 0
  }
}

############### merging multiscale results #####################
layer {
  bottom: "fc1_voc12"
  bottom: "fc1_voc12_res075_interp"
  bottom: "fc1_voc12_res05_interp"
  top: "fc_fusion"
  name: "fc_fusion"
  type: "Eltwise"
  eltwise_param {
    operation: MAX
  }
}


##################### original resolution #######################
layer {
  name: "fc1_interp"
  type: "Interp"
  bottom: "fc_fusion"
  top: "fc1_interp"
  interp_param {
    zoom_factor: 8
  }
}

layer {
  name: "res5c_branch2b_down"
  type: "Interp"
  bottom: "res5c_branch2b"
  top: "res5c_branch2b_down"
  interp_param {
    shrink_factor: 2
  }
}