name: "HandDetection"
input: "data"

input_shape {
  
dim: 1
  
dim: 3
  
dim: 288  
dim: 288
}

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


layer {
  name: "relu1"
  type: "ReLU"
  bottom: "conv1"
  top: "conv1"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "pool1"
  type: "Pooling"
  bottom: "conv1"
  top: "pool1"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "conv2"
  type: "Convolution"
  bottom: "pool1"
  top: "conv2"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 32
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}


layer {
  name: "relu2"
  type: "ReLU"
  bottom: "conv2"
  top: "conv2"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "pool2"
  type: "Pooling"
  bottom: "conv2"
  top: "pool2"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "conv3"
  type: "Convolution"
  bottom: "pool2"
  top: "conv3"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "bn3"
  type: "BatchNorm"
  bottom: "conv3"
  top: "conv3"
}
layer {
	bottom: "conv3"
	top: "conv3"
	name: "scale_conv3"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}
layer {
  name: "relu3"
  type: "ReLU"
  bottom: "conv3"
  top: "conv3"
  relu_param {
    negative_slope: 0.1
  }
}


layer {
  name: "pool5"
  type: "Pooling"
  bottom: "conv3"
  top: "pool5"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "conv6"
  type: "Convolution"
  bottom: "pool5"
  top: "conv6"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 64
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn6"
  type: "BatchNorm"
  bottom: "conv6"
  top: "conv6"
}

layer {
	bottom: "conv6"
	top: "conv6"
	name: "scale_conv6"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}

layer {
  name: "relu6"
  type: "ReLU"
  bottom: "conv6"
  top: "conv6"
  relu_param {
    negative_slope: 0.1
  }
}


layer {
  name: "pool8"
  type: "Pooling"
  bottom: "conv6"
  top: "pool8"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "conv9"
  type: "Convolution"
  bottom: "pool8"
  top: "conv9"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn9"
  type: "BatchNorm"
  bottom: "conv9"
  top: "conv9"
}

layer {
	bottom: "conv9"
	top: "conv9"
	name: "scale_conv9"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}

layer {
  name: "relu9"
  type: "ReLU"
  bottom: "conv9"
  top: "conv9"
  relu_param {
    negative_slope: 0.1
  }
}

layer {
  name: "conv10"
  type: "Convolution"
  bottom: "conv9"
  top: "conv10"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 128
    kernel_size: 1
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn10"
  type: "BatchNorm"
  bottom: "conv10"
  top: "conv10"
}

layer {
	bottom: "conv10"
	top: "conv10"
	name: "scale_conv10"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}

layer {
  name: "relu10"
  type: "ReLU"
  bottom: "conv10"
  top: "conv10"
  relu_param {
    negative_slope: 0.1
  }
}


layer {
  name: "conv13"
  type: "Convolution"
  bottom: "conv10"
  top: "conv13"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn13"
  type: "BatchNorm"
  bottom: "conv13"
  top: "conv13"
}

layer {
	bottom: "conv13"
	top: "conv13"
	name: "scale_conv13"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}

layer {
  name: "relu13"
  type: "ReLU"
  bottom: "conv13"
  top: "conv13"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "pool13"
  type: "Pooling"
  bottom: "conv13"
  top: "pool13"
  pooling_param {
    pool: MAX
    kernel_size: 2
    stride: 2
  }
}

layer {
  name: "conv14"
  type: "Convolution"
  bottom: "pool13"
  top: "conv14"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn14"
  type: "BatchNorm"
  bottom: "conv14"
  top: "conv14"
}

layer {
	bottom: "conv14"
	top: "conv14"
	name: "scale_conv14"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}
layer {
  name: "relu14"
  type: "ReLU"
  bottom: "conv14"
  top: "conv14"
  relu_param {
    negative_slope: 0.1
  }
}
layer {
  name: "conv15"
  type: "Convolution"
  bottom: "conv14"
  top: "conv15"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    kernel_size: 1
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}
layer {
  name: "bn15"
  type: "BatchNorm"
  bottom: "conv15"
  top: "conv15"
}
layer {
	bottom: "conv15"
	top: "conv15"
	name: "scale_conv15"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}
layer {
  name: "relu15"
  type: "ReLU"
  bottom: "conv15"
  top: "conv15"
  relu_param {
    negative_slope: 0.1
  }
}


layer {
  name: "conv18"
  type: "Convolution"
  bottom: "conv15"
  top: "conv18"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn18"
  type: "BatchNorm"
  bottom: "conv18"
  top: "conv18"
}

layer {
	bottom: "conv18"
	top: "conv18"
	name: "scale_conv18"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}

layer {
  name: "relu18"
  type: "ReLU"
  bottom: "conv18"
  top: "conv18"
  relu_param {
    negative_slope: 0.1
  }
}

layer {
  name: "conv19"
  type: "Convolution"
  bottom: "conv18"
  top: "conv19"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  convolution_param {
    num_output: 256
    pad: 1
    kernel_size: 3
    stride: 1
    bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}

layer {
  name: "bn19"
  type: "BatchNorm"
  bottom: "conv19"
  top: "conv19"
}

layer {
	bottom: "conv19"
	top: "conv19"
	name: "scale_conv19"
	type: "Scale"
	scale_param {
		bias_term: true
	}
}

layer {
  name: "relu19"
  type: "ReLU"
  bottom: "conv19"
  top: "conv19"
  relu_param {
    negative_slope: 0.1
  }
}

layer {
  name: "conv_reg"
  type: "Convolution"
  bottom: "conv19"
  top: "conv_reg"
  param {
    lr_mult: 1
    decay_mult: 1
  }
  param {
    lr_mult: 2
    decay_mult: 0
  }
  convolution_param {
    num_output: 35
    kernel_size: 1
    stride: 1
    #bias_term: false
    weight_filler {
      type: "xavier"
    }
  }
}