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HyperLPR/Prj-Linux/lpr/model/Segmentation.prototxt

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  1. input: "data"

  2. input_dim: 1

  3. input_dim: 1

  4. input_dim: 22

  5. input_dim: 22

  6. layer {

  7.   name: "conv2d_12"

  8.   type: "Convolution"

  9.   bottom: "data"

  10.   top: "conv2d_12"

  11.   convolution_param {

  12.     num_output: 16

  13.     bias_term: true

  14.     pad: 0

  15.     kernel_size: 3

  16.     stride: 1

  17.   }

  18. }

  19. layer {

  20.   name: "activation_18"

  21.   type: "ReLU"

  22.   bottom: "conv2d_12"

  23.   top: "activation_18"

  24. }

  25. layer {

  26.   name: "max_pooling2d_10"

  27.   type: "Pooling"

  28.   bottom: "activation_18"

  29.   top: "max_pooling2d_10"

  30.   pooling_param {

  31.     pool: MAX

  32.     kernel_size: 2

  33.     stride: 2

  34.     pad: 0

  35.   }

  36. }

  37. layer {

  38.   name: "conv2d_13"

  39.   type: "Convolution"

  40.   bottom: "max_pooling2d_10"

  41.   top: "conv2d_13"

  42.   convolution_param {

  43.     num_output: 16

  44.     bias_term: true

  45.     pad: 0

  46.     kernel_size: 3

  47.     stride: 1

  48.   }

  49. }

  50. layer {

  51.   name: "activation_19"

  52.   type: "ReLU"

  53.   bottom: "conv2d_13"

  54.   top: "activation_19"

  55. }

  56. layer {

  57.   name: "max_pooling2d_11"

  58.   type: "Pooling"

  59.   bottom: "activation_19"

  60.   top: "max_pooling2d_11"

  61.   pooling_param {

  62.     pool: MAX

  63.     kernel_size: 2

  64.     stride: 2

  65.     pad: 0

  66.   }

  67. }

  68. layer {

  69.   name: "flatten_6"

  70.   type: "Flatten"

  71.   bottom: "max_pooling2d_11"

  72.   top: "flatten_6"

  73. }

  74. layer {

  75.   name: "dense_9"

  76.   type: "InnerProduct"

  77.   bottom: "flatten_6"

  78.   top: "dense_9"

  79.   inner_product_param {

  80.     num_output: 256

  81.   }

  82. }

  83. layer {

  84.   name: "dropout_9"

  85.   type: "Dropout"

  86.   bottom: "dense_9"

  87.   top: "dropout_9"

  88.   dropout_param {

  89.     dropout_ratio: 0.5

  90.   }

  91. }

  92. layer {

  93.   name: "activation_20"

  94.   type: "ReLU"

  95.   bottom: "dropout_9"

  96.   top: "activation_20"

  97. }

  98. layer {

  99.   name: "dense_10"

  100.   type: "InnerProduct"

  101.   bottom: "activation_20"

  102.   top: "dense_10"

  103.   inner_product_param {

  104.     num_output: 3

  105.   }

  106. }

  107. 

  108. 

  109.   layer {

  110.   name: "prob"

  111.   type: "Softmax"

  112.   bottom: "dense_10"

  113.   top: "prob"

  114. }