deploy.prototxt

input: "data"
input_dim: 1
input_dim: 3
input_dim: 513
input_dim: 513



###################### 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"
}

############################### classifiers ##########################
############################### classifiers ##########################

layer {
  name: "Face_Horizontal"
  	type: "Convolution"
	 
	 
  bottom: "res5c"
  top: "Face_Horizontal"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}

layer {
  name: "Face_Vertical"
  	type: "Convolution"
	 
	 
  bottom: "res5c"
  top: "Face_Vertical"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}

layer {
  name: "Regression_Vertical"
  	type: "Convolution"
	 
	 
  bottom: "res5c"
  top: "Regression_Vertical"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}

layer {
  name: "Regression_Horizontal"
  	type: "Convolution"
	 
	 
  bottom: "res5c"
  top: "Regression_Horizontal"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  convolution_param {
    num_output: 11
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}


layer {
  bottom: "Face_Vertical"
  top: "Face_Vertical_zoom"
  name: "Face_Vertical_zoom"
  type: "Interp"
 #    	include { phase: TRAIN }

  interp_param {
    zoom_factor: 8
    pad_beg: 0
    pad_end: 0
  }
}

layer {
  bottom: "Face_Horizontal"
  top: "Face_Horizontal_zoom"
  name: "Face_Horizontal_zoom"
  type: "Interp"
  interp_param {
    zoom_factor: 8
    pad_beg: 0
    pad_end: 0
  }
}

layer {
  bottom: "Regression_Vertical"
  top: "Regression_Vertical_zoom"
  name: "Regression_Vertical_zoom"
  type: "Interp"
  interp_param {
    zoom_factor: 8
    pad_beg: 0
    pad_end: 0
  }
}

layer {
  bottom: "Regression_Horizontal"
  top: "Regression_Horizontal_zoom"
  name: "Regression_Horizontal_zoom"
  type: "Interp"
  interp_param {
    zoom_factor: 8
    pad_beg: 0
    pad_end: 0
  }
}

################################################

layer {
  bottom: "Face_Horizontal_zoom"
  top: "Face_Horizontal_zoom_argmax"
  name: "Face_Horizontal_zoom_argmax"
  type: "ArgMax"
  argmax_param {    axis: 1  }
}

layer {
  bottom: "Face_Vertical_zoom"
  top: "Face_Vertical_zoom_argmax"
  name: "Face_Vertical_zoom_argmax"
  type: "ArgMax"
  argmax_param {    axis: 1  }
}

################################################
## Z related layers




layer {
  name: "Face_Z"
  type: "Convolution"
  bottom: "res5c"
  top: "Face_Z"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  convolution_param {
    num_output: 2
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      std: 0.01
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}



layer {
  name: "Regression_Z"
  type: "Convolution"
  bottom: "res5c"
  top: "Regression_Z"
  param {
    lr_mult: 10
    decay_mult: 1
  }
  param {
    lr_mult: 20
    decay_mult: 0
  }
  convolution_param {
    num_output: 2
    kernel_size: 1
    weight_filler {
      type: "gaussian"
      std: 0.001
    }
    bias_filler {
      type: "constant"
      value: 0
    }
  }
}



layer {
  bottom: "Face_Z"
  top: "Face_Z_zoom"
  name: "Face_Z_zoom"
  type: "Interp"
  interp_param {
    zoom_factor: 8
    pad_beg: 0
    pad_end: 0
  }
}

layer {
  bottom: "Regression_Z"
  top: "Regression_Z_zoom"
  name: "Regression_Z_zoom"
  type: "Interp"
  interp_param {
    zoom_factor: 8
    pad_beg: 0
    pad_end: 0
  }
}

layer {
  bottom: "Face_Z_zoom"
  top: "Face_Z_zoom_argmax"
  name: "Face_Z_zoom_argmax"
  type: "ArgMax"
  argmax_param {    axis: 1  }
}

###############################################

layer {
  name: "combine"
  type: "Python"
  bottom: "Face_Horizontal_zoom_argmax"
  bottom: "Face_Vertical_zoom_argmax"
  bottom: "Regression_Horizontal_zoom"
  bottom: "Regression_Vertical_zoom"
  top: "H_Out"
  top: "V_Out"
  python_param {
    module: "CombineRegressions"
    layer: "CombineRegressionsLayer"
  }
}

layer {
  bottom: "H_Out"
  bottom: "V_Out"
  name: "ssh"
  type: "Silence"
}