Delete SegmentationFree.prototxt

Prj-Linux/lpr/model/SegmentationFree.prototxt

@@ -1,318 +0,0 @@
-input: "data"
-input_dim: 1
-input_dim: 3
-input_dim: 160
-input_dim: 40
-layer {
-  name: "conv0"
-  type: "Convolution"
-  bottom: "data"
-  top: "conv0"
-  convolution_param {
-    num_output: 32
-    bias_term: true
-    pad_h: 1
-    pad_w: 1
-    kernel_h: 3
-    kernel_w: 3
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "bn0"
-  type: "BatchNorm"
-  bottom: "conv0"
-  top: "bn0"
-  batch_norm_param {
-    moving_average_fraction: 0.99
-    eps: 0.001
-  }
-}
-layer {
-  name: "bn0_scale"
-  type: "Scale"
-  bottom: "bn0"
-  top: "bn0"
-  scale_param {
-    bias_term: true
-  }
-}
-layer {
-  name: "relu0"
-  type: "ReLU"
-  bottom: "bn0"
-  top: "bn0"
-}
-layer {
-  name: "pool0"
-  type: "Pooling"
-  bottom: "bn0"
-  top: "pool0"
-  pooling_param {
-    pool: MAX
-    kernel_h: 2
-    kernel_w: 2
-    stride_h: 2
-    stride_w: 2
-    pad_h: 0
-    pad_w: 0
-  }
-}
-layer {
-  name: "conv1"
-  type: "Convolution"
-  bottom: "pool0"
-  top: "conv1"
-  convolution_param {
-    num_output: 64
-    bias_term: true
-    pad_h: 1
-    pad_w: 1
-    kernel_h: 3
-    kernel_w: 3
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "bn1"
-  type: "BatchNorm"
-  bottom: "conv1"
-  top: "bn1"
-  batch_norm_param {
-    moving_average_fraction: 0.99
-    eps: 0.001
-  }
-}
-layer {
-  name: "bn1_scale"
-  type: "Scale"
-  bottom: "bn1"
-  top: "bn1"
-  scale_param {
-    bias_term: true
-  }
-}
-layer {
-  name: "relu1"
-  type: "ReLU"
-  bottom: "bn1"
-  top: "bn1"
-}
-layer {
-  name: "pool1"
-  type: "Pooling"
-  bottom: "bn1"
-  top: "pool1"
-  pooling_param {
-    pool: MAX
-    kernel_h: 2
-    kernel_w: 2
-    stride_h: 2
-    stride_w: 2
-    pad_h: 0
-    pad_w: 0
-  }
-}
-layer {
-  name: "conv2"
-  type: "Convolution"
-  bottom: "pool1"
-  top: "conv2"
-  convolution_param {
-    num_output: 128
-    bias_term: true
-    pad_h: 1
-    pad_w: 1
-    kernel_h: 3
-    kernel_w: 3
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "bn2"
-  type: "BatchNorm"
-  bottom: "conv2"
-  top: "bn2"
-  batch_norm_param {
-    moving_average_fraction: 0.99
-    eps: 0.001
-  }
-}
-layer {
-  name: "bn2_scale"
-  type: "Scale"
-  bottom: "bn2"
-  top: "bn2"
-  scale_param {
-    bias_term: true
-  }
-}
-layer {
-  name: "relu2"
-  type: "ReLU"
-  bottom: "bn2"
-  top: "bn2"
-}
-layer {
-  name: "pool2"
-  type: "Pooling"
-  bottom: "bn2"
-  top: "pool2"
-  pooling_param {
-    pool: MAX
-    kernel_h: 2
-    kernel_w: 2
-    stride_h: 2
-    stride_w: 2
-    pad_h: 0
-    pad_w: 0
-  }
-}
-layer {
-  name: "conv_512_15"
-  type: "Convolution"
-  bottom: "pool2"
-  top: "conv_512_15"
-  convolution_param {
-    num_output: 512
-    bias_term: true
-    pad_h: 0
-    pad_w: 0
-    kernel_h: 1
-    kernel_w: 5
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "batch_normalization_1"
-  type: "BatchNorm"
-  bottom: "conv_512_15"
-  top: "batch_normalization_1"
-  batch_norm_param {
-    moving_average_fraction: 0.99
-    eps: 0.001
-  }
-}
-layer {
-  name: "batch_normalization_1_scale"
-  type: "Scale"
-  bottom: "batch_normalization_1"
-  top: "batch_normalization_1"
-  scale_param {
-    bias_term: true
-  }
-}
-layer {
-  name: "activation_1"
-  type: "ReLU"
-  bottom: "batch_normalization_1"
-  top: "batch_normalization_1"
-}
-layer {
-  name: "conv_512_51"
-  type: "Convolution"
-  bottom: "batch_normalization_1"
-  top: "conv_512_51"
-  convolution_param {
-    num_output: 512
-    bias_term: true
-    pad_h: 0
-    pad_w: 0
-    kernel_h: 5
-    kernel_w: 1
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "batch_normalization_2"
-  type: "BatchNorm"
-  bottom: "conv_512_51"
-  top: "batch_normalization_2"
-  batch_norm_param {
-    moving_average_fraction: 0.99
-    eps: 0.001
-  }
-}
-layer {
-  name: "batch_normalization_2_scale"
-  type: "Scale"
-  bottom: "batch_normalization_2"
-  top: "batch_normalization_2"
-  scale_param {
-    bias_term: true
-  }
-}
-layer {
-  name: "activation_2"
-  type: "ReLU"
-  bottom: "batch_normalization_2"
-  top: "batch_normalization_2"
-}
-layer {
-  name: "conv_1024_11"
-  type: "Convolution"
-  bottom: "batch_normalization_2"
-  top: "conv_1024_11"
-  convolution_param {
-    num_output: 1024
-    bias_term: true
-    pad_h: 0
-    pad_w: 0
-    kernel_h: 1
-    kernel_w: 1
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "batch_normalization_3"
-  type: "BatchNorm"
-  bottom: "conv_1024_11"
-  top: "batch_normalization_3"
-  batch_norm_param {
-    moving_average_fraction: 0.99
-    eps: 0.001
-  }
-}
-layer {
-  name: "batch_normalization_3_scale"
-  type: "Scale"
-  bottom: "batch_normalization_3"
-  top: "batch_normalization_3"
-  scale_param {
-    bias_term: true
-  }
-}
-layer {
-  name: "activation_3"
-  type: "ReLU"
-  bottom: "batch_normalization_3"
-  top: "batch_normalization_3"
-}
-layer {
-  name: "conv_class_11"
-  type: "Convolution"
-  bottom: "batch_normalization_3"
-  top: "conv_class_11"
-  convolution_param {
-    num_output: 84
-    bias_term: true
-    pad_h: 0
-    pad_w: 0
-    kernel_h: 1
-    kernel_w: 1
-    stride_h: 1
-    stride_w: 1
-  }
-}
-layer {
-  name: "prob"
-  type: "Softmax"
-  bottom: "conv_class_11"
-  top: "prob"
-}