caffe下的resnet18-se_resnet_se

作者：小丑西瓜9 | 2024-03-22 21:14:25

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resnet_se

caffe下的resnet18-se

- train.prototxt
- deploy.prototxt

train.prototxt

name: "ResNet-SE-18"

layer {
  name: "data"
  type: "ImageData"
  top: "data"
  top: "label"
  include { 
    phase: TRAIN
  }
  transform_param {
        mean_value: 127.5
        mean_value: 127.5
        mean_value: 127.5
    	scale: 0.0078125
    	mirror: false

  }
  image_data_param {
    source: "/data1/Working/project/scene_judgement/exam-0/data/train.txt"
    batch_size: 8
    new_height: 224
    new_width: 224
    shuffle: true
  }
}
layer {
  name: "data"
  type: "ImageData"
  top: "data"
  top: "label"
  include {
    phase: TEST
  }
  transform_param {
    	mean_value: 127.5
        mean_value: 127.5
        mean_value: 127.5
    	scale: 0.0078125
    	mirror: false
  }
  image_data_param {
    source: "/data1/Working/project/scene_judgement/exam-0/data/test.txt"
    batch_size: 1
    new_height: 224
    new_width: 224
    shuffle: true
  }
}

layer {
    bottom: "data"
    top: "conv1"
    name: "conv1"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "conv1"
    top: "conv1"
    name: "bn_conv1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
}

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

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

layer {
    bottom: "conv1"
    top: "res2a_branch1"
    name: "res2a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 1
        pad: 0
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch1"
    top: "res2a_branch1"
    name: "bn2a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "conv1"
    top: "res2a_branch2a"
    name: "res2a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2a"
    name: "bn2a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2b"
    name: "res2a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch2b"
    top: "res2a_branch2b"
    name: "bn2a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res2a_branch2b"
    top: "se2a_global_pool"
    name: "se2a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se2a_global_pool"
    top: "se2a_conva"
    name: "se2a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 2
        kernel_size: 1
        stride: 1
	weight_filler {
	type:"msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se2a_conva"
    top: "se2a_conva"
    name: "se2a_relu"
    type: "ReLU"
}

layer {
    bottom: "se2a_conva"
    top: "se2a_convb"
    name: "se2a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se2a_convb"
    top: "se2a_convb"
    name: "se2a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se2a_convb"
    bottom: "res2a_branch2b"
    bottom: "res2a_branch1"
    top: "res2a"
    name: "res2a"
    type: "Axpy"
}

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

layer {
    bottom: "res2a"
    top: "res2b_branch2a"
    name: "res2b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2a"
    name: "bn2b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2b"
    name: "res2b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2b_branch2b"
    top: "res2b_branch2b"
    name: "bn2b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res2b_branch2b"
    top: "se2b_global_pool"
    name: "se2b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se2b_global_pool"
    top: "se2b_conva"
    name: "se2b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 2
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se2b_conva"
    top: "se2b_conva"
    name: "se2b_relu"
    type: "ReLU"
}

layer {
    bottom: "se2b_conva"
    top: "se2b_convb"
    name: "se2b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }
}

layer { 
    bottom: "se2b_convb"
    top: "se2b_convb"
    name: "se2b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se2b_convb"
    bottom: "res2b_branch2b"
    bottom: "res2a"
    top: "res2b"
    name: "res2b"
    type: "Axpy"
}

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

layer {
    bottom: "res2b"
    top: "res3a_branch1"
    name: "res3a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3a_branch1"
    top: "res3a_branch1"
    name: "bn3a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res2b"
    top: "res3a_branch2a"
    name: "res3a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2a"
    name: "bn3a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2b"
    name: "res3a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3a_branch2b"
    top: "res3a_branch2b"
    name: "bn3a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res3a_branch2b"
    top: "se3a_global_pool"
    name: "se3a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se3a_global_pool"
    top: "se3a_conva"
    name: "se3a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 4
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se3a_conva"
    top: "se3a_conva"
    name: "se3a_relu"
    type: "ReLU"
}

layer {
    bottom: "se3a_conva"
    top: "se3a_convb"
    name: "se3a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        stride: 1
	weight_filler { 
	type: "msra"
	}
	bias_term: true
    }
}

layer { 
    bottom: "se3a_convb"
    top: "se3a_convb"
    name: "se3a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se3a_convb"
    bottom: "res3a_branch2b"
    bottom: "res3a_branch1"
    top: "res3a"
    name: "res3a"
    type: "Axpy"
}

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

layer {
    bottom: "res3a"
    top: "res3b_branch2a"
    name: "res3b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "bn3b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "scale3b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "res3b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2b"
    name: "res3b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "bn3b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "scale3b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3b_branch2b"
    top: "se3b_global_pool"
    name: "se3b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se3b_global_pool"
    top: "se3b_conva"
    name: "se3b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 4
        kernel_size: 1
        stride: 1
	weight_filler {
	    type: "msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se3b_conva"
    top: "se3b_conva"
    name: "se3b_relu"
    type: "ReLU"
}

layer {
    bottom: "se3b_conva"
    top: "se3b_convb"
    name: "se3b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se3b_convb"
    top: "se3b_convb"
    name: "se3b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se3b_convb"
    bottom: "res3b_branch2b"
    bottom: "res3a"
    top: "res3b"
    name: "res3b"
    type: "Axpy"
}

layer {
    bottom: "res3b"
    top: "res3b"
    name: "res3b_relu"
    type: "ReLU"
}

layer {
    bottom: "res3b"
    top: "res4a_branch1"
    name: "res4a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch1"
    top: "res4a_branch1"
    name: "bn4a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res3b"
    top: "res4a_branch2a"
    name: "res4a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2a"
    name: "bn4a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2b"
    name: "res4a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch2b"
    top: "res4a_branch2b"
    name: "bn4a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res4a_branch2b"
    top: "se4a_global_pool"
    name: "se4a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se4a_global_pool"
    top: "se4a_conva"
    name: "se4a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 8
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se4a_conva"
    top: "se4a_conva"
    name: "se4a_relu"
    type: "ReLU"
}

layer {
    bottom: "se4a_conva"
    top: "se4a_convb"
    name: "se4a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se4a_convb"
    top: "se4a_convb"
    name: "se4a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se4a_convb"
    bottom: "res4a_branch2b"
    bottom: "res4a_branch1"
    top: "res4a"
    name: "res4a"
    type: "Axpy"
}

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

layer {
    bottom: "res4a"
    top: "res4b_branch2a"
    name: "res4b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "bn4b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "scale4b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "res4b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2b"
    name: "res4b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "bn4b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "scale4b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4b_branch2b"
    top: "se4b_global_pool"
    name: "se4b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se4b_global_pool"
    top: "se4b_conva"
    name: "se4b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 8
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se4b_conva"
    top: "se4b_conva"
    name: "se4b_relu"
    type: "ReLU"
}

layer {
    bottom: "se4b_conva"
    top: "se4b_convb"
    name: "se4b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se4b_convb"
    top: "se4b_convb"
    name: "se4b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se4b_convb"
    bottom: "res4b_branch2b"
    bottom: "res4a"
    top: "res4b"
    name: "res4b"
    type: "Axpy"
}

layer {
    bottom: "res4b"
    top: "res4b"
    name: "res4b_relu"
    type: "ReLU"
}

layer {
    bottom: "res4b"
    top: "res5a_branch1"
    name: "res5a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch1"
    top: "res5a_branch1"
    name: "bn5a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res4b"
    top: "res5a_branch2a"
    name: "res5a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2a"
    name: "bn5a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2b"
    name: "res5a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch2b"
    top: "res5a_branch2b"
    name: "bn5a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res5a_branch2b"
    top: "se5a_global_pool"
    name: "se5a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se5a_global_pool"
    top: "se5a_conva"
    name: "se5a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 16
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se5a_conva"
    top: "se5a_conva"
    name: "se5a_relu"
    type: "ReLU"
}

layer {
    bottom: "se5a_conva"
    top: "se5a_convb"
    name: "se5a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se5a_convb"
    top: "se5a_convb"
    name: "se5a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se5a_convb"
    bottom: "res5a_branch2b"
    bottom: "res5a_branch1"
    top: "res5a"
    name: "res5a"
    type: "Axpy"
}

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

layer {
    bottom: "res5a"
    top: "res5b_branch2a"
    name: "res5b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2a"
    name: "bn5b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2b"
    name: "res5b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5b_branch2b"
    top: "res5b_branch2b"
    name: "bn5b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res5b_branch2b"
    top: "se5b_global_pool"
    name: "se5b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se5b_global_pool"
    top: "se5b_conva"
    name: "se5b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 8
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se5b_conva"
    top: "se5b_conva"
    name: "se5b_relu"
    type: "ReLU"
}

layer {
    bottom: "se5b_conva"
    top: "se5b_convb"
    name: "se5b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se5b_convb"
    top: "se5b_convb"
    name: "se5b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se5b_convb"
    bottom: "res5b_branch2b"
    bottom: "res5a"
    top: "res5b"
    name: "res5b"
    type: "Axpy"
}

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

layer {
    bottom: "res5b"
    top: "pool5"
    name: "pool5"
    type: "Pooling"
    pooling_param {
        global_pooling: true
        pool: AVE
    }
}

layer {
    bottom: "pool5"
    top: "fc7"
    name: "fc7"
    type: "InnerProduct"
    param {
        lr_mult: 1
        decay_mult: 1
    }
    param {
        lr_mult: 2
        decay_mult: 1
    }
    inner_product_param {
        num_output: 7
        weight_filler {
            type: "xavier"
        }
        bias_filler {
            type: "constant"
            value: 0
        }
    }
}
layer {
    bottom: "fc7"
    bottom: "label"
    name: "loss"
    type: "SoftmaxWithLoss"
    top: "loss"
}

layer {
    bottom: "fc7"
    bottom: "label"
    top: "acc/top-1"
    name: "acc/top-1"
    type: "Accuracy"
    include {
        phase: TEST
    }
}

layer {
    bottom: "fc7"
    bottom: "label"
    top: "acc/train"
    name: "acc/train"
    type: "Accuracy"
    include {
        phase: TRAIN
    }
}
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deploy.prototxt

name: "ResNet-18_se"
# input size: 224 x 224
layer {
  name: "data"
  type: "Input"
  top: "data"
  input_param { shape: { dim: 1 dim: 3 dim: 224 dim: 224 } }
}

layer {
    bottom: "data"
    top: "conv1"
    name: "conv1"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "conv1"
    top: "conv1"
    name: "bn_conv1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
}

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

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

layer {
    bottom: "conv1"
    top: "res2a_branch1"
    name: "res2a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 1
        pad: 0
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch1"
    top: "res2a_branch1"
    name: "bn2a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "conv1"
    top: "res2a_branch2a"
    name: "res2a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2a"
    name: "bn2a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res2a_branch2a"
    top: "res2a_branch2b"
    name: "res2a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2a_branch2b"
    top: "res2a_branch2b"
    name: "bn2a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res2a_branch2b"
    top: "se2a_global_pool"
    name: "se2a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se2a_global_pool"
    top: "se2a_conva"
    name: "se2a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 2
        kernel_size: 1
        stride: 1
	weight_filler {
	type:"msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se2a_conva"
    top: "se2a_conva"
    name: "se2a_relu"
    type: "ReLU"
}

layer {
    bottom: "se2a_conva"
    top: "se2a_convb"
    name: "se2a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se2a_convb"
    top: "se2a_convb"
    name: "se2a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se2a_convb"
    bottom: "res2a_branch2b"
    bottom: "res2a_branch1"
    top: "res2a"
    name: "res2a"
    type: "Axpy"
}

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

layer {
    bottom: "res2a"
    top: "res2b_branch2a"
    name: "res2b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2a"
    name: "bn2b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res2b_branch2a"
    top: "res2b_branch2b"
    name: "res2b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res2b_branch2b"
    top: "res2b_branch2b"
    name: "bn2b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res2b_branch2b"
    top: "se2b_global_pool"
    name: "se2b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se2b_global_pool"
    top: "se2b_conva"
    name: "se2b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 2
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se2b_conva"
    top: "se2b_conva"
    name: "se2b_relu"
    type: "ReLU"
}

layer {
    bottom: "se2b_conva"
    top: "se2b_convb"
    name: "se2b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 32
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }
}

layer { 
    bottom: "se2b_convb"
    top: "se2b_convb"
    name: "se2b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se2b_convb"
    bottom: "res2b_branch2b"
    bottom: "res2a"
    top: "res2b"
    name: "res2b"
    type: "Axpy"
}

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

layer {
    bottom: "res2b"
    top: "res3a_branch1"
    name: "res3a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3a_branch1"
    top: "res3a_branch1"
    name: "bn3a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res2b"
    top: "res3a_branch2a"
    name: "res3a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2a"
    name: "bn3a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res3a_branch2a"
    top: "res3a_branch2b"
    name: "res3a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3a_branch2b"
    top: "res3a_branch2b"
    name: "bn3a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res3a_branch2b"
    top: "se3a_global_pool"
    name: "se3a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se3a_global_pool"
    top: "se3a_conva"
    name: "se3a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 4
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se3a_conva"
    top: "se3a_conva"
    name: "se3a_relu"
    type: "ReLU"
}

layer {
    bottom: "se3a_conva"
    top: "se3a_convb"
    name: "se3a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        stride: 1
	weight_filler { 
	type: "msra"
	}
	bias_term: true
    }
}

layer { 
    bottom: "se3a_convb"
    top: "se3a_convb"
    name: "se3a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se3a_convb"
    bottom: "res3a_branch2b"
    bottom: "res3a_branch1"
    top: "res3a"
    name: "res3a"
    type: "Axpy"
}

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

layer {
    bottom: "res3a"
    top: "res3b_branch2a"
    name: "res3b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "bn3b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "scale3b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2a"
    name: "res3b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res3b_branch2a"
    top: "res3b_branch2b"
    name: "res3b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false
    }
}

layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "bn3b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res3b_branch2b"
    top: "res3b_branch2b"
    name: "scale3b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res3b_branch2b"
    top: "se3b_global_pool"
    name: "se3b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se3b_global_pool"
    top: "se3b_conva"
    name: "se3b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 4
        kernel_size: 1
        stride: 1
	weight_filler {
	    type: "msra"
	}
	bias_term: true
    }
}

layer {
    bottom: "se3b_conva"
    top: "se3b_conva"
    name: "se3b_relu"
    type: "ReLU"
}

layer {
    bottom: "se3b_conva"
    top: "se3b_convb"
    name: "se3b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 64
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se3b_convb"
    top: "se3b_convb"
    name: "se3b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se3b_convb"
    bottom: "res3b_branch2b"
    bottom: "res3a"
    top: "res3b"
    name: "res3b"
    type: "Axpy"
}

layer {
    bottom: "res3b"
    top: "res3b"
    name: "res3b_relu"
    type: "ReLU"
}

layer {
    bottom: "res3b"
    top: "res4a_branch1"
    name: "res4a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch1"
    top: "res4a_branch1"
    name: "bn4a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res3b"
    top: "res4a_branch2a"
    name: "res4a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2a"
    name: "bn4a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res4a_branch2a"
    top: "res4a_branch2b"
    name: "res4a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4a_branch2b"
    top: "res4a_branch2b"
    name: "bn4a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res4a_branch2b"
    top: "se4a_global_pool"
    name: "se4a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se4a_global_pool"
    top: "se4a_conva"
    name: "se4a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 8
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se4a_conva"
    top: "se4a_conva"
    name: "se4a_relu"
    type: "ReLU"
}

layer {
    bottom: "se4a_conva"
    top: "se4a_convb"
    name: "se4a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se4a_convb"
    top: "se4a_convb"
    name: "se4a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se4a_convb"
    bottom: "res4a_branch2b"
    bottom: "res4a_branch1"
    top: "res4a"
    name: "res4a"
    type: "Axpy"
}

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

layer {
    bottom: "res4a"
    top: "res4b_branch2a"
    name: "res4b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "bn4b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "scale4b_branch2a"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2a"
    name: "res4b_branch2a_relu"
    type: "ReLU"
}

layer {
    bottom: "res4b_branch2a"
    top: "res4b_branch2b"
    name: "res4b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "bn4b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

layer {
    bottom: "res4b_branch2b"
    top: "res4b_branch2b"
    name: "scale4b_branch2b"
    type: "Scale"
    scale_param {
        bias_term: true
    }
}

layer {
    bottom: "res4b_branch2b"
    top: "se4b_global_pool"
    name: "se4b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se4b_global_pool"
    top: "se4b_conva"
    name: "se4b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 8
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se4b_conva"
    top: "se4b_conva"
    name: "se4b_relu"
    type: "ReLU"
}

layer {
    bottom: "se4b_conva"
    top: "se4b_convb"
    name: "se4b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 128
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se4b_convb"
    top: "se4b_convb"
    name: "se4b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se4b_convb"
    bottom: "res4b_branch2b"
    bottom: "res4a"
    top: "res4b"
    name: "res4b"
    type: "Axpy"
}

layer {
    bottom: "res4b"
    top: "res4b"
    name: "res4b_relu"
    type: "ReLU"
}

layer {
    bottom: "res4b"
    top: "res5a_branch1"
    name: "res5a_branch1"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        pad: 0
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch1"
    top: "res5a_branch1"
    name: "bn5a_branch1"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res4b"
    top: "res5a_branch2a"
    name: "res5a_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 2
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2a"
    name: "bn5a_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res5a_branch2a"
    top: "res5a_branch2b"
    name: "res5a_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5a_branch2b"
    top: "res5a_branch2b"
    name: "bn5a_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res5a_branch2b"
    top: "se5a_global_pool"
    name: "se5a_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se5a_global_pool"
    top: "se5a_conva"
    name: "se5a_conva"
    type: "Convolution"
    convolution_param {
        num_output: 16
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se5a_conva"
    top: "se5a_conva"
    name: "se5a_relu"
    type: "ReLU"
}

layer {
    bottom: "se5a_conva"
    top: "se5a_convb"
    name: "se5a_convb"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se5a_convb"
    top: "se5a_convb"
    name: "se5a_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se5a_convb"
    bottom: "res5a_branch2b"
    bottom: "res5a_branch1"
    top: "res5a"
    name: "res5a"
    type: "Axpy"
}

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

layer {
    bottom: "res5a"
    top: "res5b_branch2a"
    name: "res5b_branch2a"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2a"
    name: "bn5b_branch2a"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

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

layer {
    bottom: "res5b_branch2a"
    top: "res5b_branch2b"
    name: "res5b_branch2b"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 3
        pad: 1
        stride: 1
        weight_filler {
            type: "msra"
        }
        bias_term: false

    }
}

layer {
    bottom: "res5b_branch2b"
    top: "res5b_branch2b"
    name: "bn5b_branch2b"
    type: "BatchNorm"
    batch_norm_param {
      moving_average_fraction: 0.9 
    }
    
}

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

layer {
    bottom: "res5b_branch2b"
    top: "se5b_global_pool"
    name: "se5b_global_pool"
    type: "Pooling"
    pooling_param {
        pool: AVE
        engine: CAFFE
        global_pooling: true
    }
}

layer {
    bottom: "se5b_global_pool"
    top: "se5b_conva"
    name: "se5b_conva"
    type: "Convolution"
    convolution_param {
        num_output: 8
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer {
    bottom: "se5b_conva"
    top: "se5b_conva"
    name: "se5b_relu"
    type: "ReLU"
}

layer {
    bottom: "se5b_conva"
    top: "se5b_convb"
    name: "se5b_convb"
    type: "Convolution"
    convolution_param {
        num_output: 256
        kernel_size: 1
        stride: 1
	weight_filler {
	type: "msra"
	}
	bias_term: true
    }

}

layer { 
    bottom: "se5b_convb"
    top: "se5b_convb"
    name: "se5b_prob"
    type: "Sigmoid"
}

layer {
    bottom: "se5b_convb"
    bottom: "res5b_branch2b"
    bottom: "res5a"
    top: "res5b"
    name: "res5b"
    type: "Axpy"
}

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

layer {
    bottom: "res5b"
    top: "pool5"
    name: "pool5"
    type: "Pooling"
    pooling_param {
        global_pooling: true
        pool: AVE
    }
}

layer {
    bottom: "pool5"
    top: "fc7"
    name: "fc7"
    type: "InnerProduct"
    param {
        lr_mult: 1
        decay_mult: 1
    }
    param {
        lr_mult: 2
        decay_mult: 1
    }
    inner_product_param {
        num_output: 7
        weight_filler {
            type: "xavier"
        }
        bias_filler {
            type: "constant"
            value: 0
        }
    }
}
layer {
  name: "prob"
  type: "Softmax"
  bottom: "fc7"
  top: "prob"
}
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