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HyperLPR/Prj-Win/lpr/model/CharacterRecognization.prot...

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  1. input: "data"

  2. input_dim: 1

  3. input_dim: 1

  4. input_dim: 30

  5. input_dim: 14

  6. layer {

  7.   name: "conv2d_1"

  8.   type: "Convolution"

  9.   bottom: "data"

  10.   top: "conv2d_1"

  11.   convolution_param {

  12.     num_output: 32

  13.     bias_term: true

  14.     pad: 0

  15.     kernel_size: 3

  16.     stride: 1

  17.   }

  18. }

  19. layer {

  20.   name: "activation_1"

  21.   type: "ReLU"

  22.   bottom: "conv2d_1"

  23.   top: "activation_1"

  24. }

  25. layer {

  26.   name: "max_pooling2d_1"

  27.   type: "Pooling"

  28.   bottom: "activation_1"

  29.   top: "max_pooling2d_1"

  30.   pooling_param {

  31.     pool: MAX

  32.     kernel_size: 2

  33.     stride: 2

  34.     pad: 0

  35.   }

  36. }

  37. layer {

  38.   name: "conv2d_2"

  39.   type: "Convolution"

  40.   bottom: "max_pooling2d_1"

  41.   top: "conv2d_2"

  42.   convolution_param {

  43.     num_output: 64

  44.     bias_term: true

  45.     pad: 0

  46.     kernel_size: 3

  47.     stride: 1

  48.   }

  49. }

  50. layer {

  51.   name: "activation_2"

  52.   type: "ReLU"

  53.   bottom: "conv2d_2"

  54.   top: "activation_2"

  55. }

  56. layer {

  57.   name: "max_pooling2d_2"

  58.   type: "Pooling"

  59.   bottom: "activation_2"

  60.   top: "max_pooling2d_2"

  61.   pooling_param {

  62.     pool: MAX

  63.     kernel_size: 2

  64.     stride: 2

  65.     pad: 0

  66.   }

  67. }

  68. layer {

  69.   name: "conv2d_3"

  70.   type: "Convolution"

  71.   bottom: "max_pooling2d_2"

  72.   top: "conv2d_3"

  73.   convolution_param {

  74.     num_output: 128

  75.     bias_term: true

  76.     pad: 0

  77.     kernel_size: 2

  78.     stride: 1

  79.   }

  80. }

  81. layer {

  82.   name: "activation_3"

  83.   type: "ReLU"

  84.   bottom: "conv2d_3"

  85.   top: "activation_3"

  86. }

  87. layer {

  88.   name: "flatten_1"

  89.   type: "Flatten"

  90.   bottom: "activation_3"

  91.   top: "flatten_1"

  92. }

  93. layer {

  94.   name: "dense_1"

  95.   type: "InnerProduct"

  96.   bottom: "flatten_1"

  97.   top: "dense_1"

  98.   inner_product_param {

  99.     num_output: 256

  100.   }

  101. }

  102. layer {

  103.   name: "relu2"

  104.   type: "ReLU"

  105.   bottom: "dense_1"

  106.   top: "relu2"

  107. }

  108. layer {

  109.   name: "dense2"

  110.   type: "InnerProduct"

  111.   bottom: "relu2"

  112.   top: "dense2"

  113.   inner_product_param {

  114.     num_output: 65

  115.   }

  116. }

  117. 

  118. layer {

  119.   name: "prob"

  120.   type: "Softmax"

  121.   bottom: "dense2"

  122.   top: "prob"

  123. }