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SegNet Layers

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Oct 13th, 2017
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  1. 1 'inputImage' Image Input 540x720x3 images with 'zerocenter' normalization
  2. 2 'conv1_1' Convolution 64 3x3x3 convolutions with stride [1 1] and padding [1 1 1 1]
  3. 3 'bn_conv1_1' Batch Normalization Batch normalization with 64 channels
  4. 4 'relu1_1' ReLU ReLU
  5. 5 'conv1_2' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1]
  6. 6 'bn_conv1_2' Batch Normalization Batch normalization with 64 channels
  7. 7 'relu1_2' ReLU ReLU
  8. 8 'pool1' Max Pooling 2x2 max pooling with stride [2 2] and padding [0 0 0 0]
  9. 9 'conv2_1' Convolution 128 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1]
  10. 10 'bn_conv2_1' Batch Normalization Batch normalization with 128 channels
  11. 11 'relu2_1' ReLU ReLU
  12. 12 'conv2_2' Convolution 128 3x3x128 convolutions with stride [1 1] and padding [1 1 1 1]
  13. 13 'bn_conv2_2' Batch Normalization Batch normalization with 128 channels
  14. 14 'relu2_2' ReLU ReLU
  15. 15 'pool2' Max Pooling 2x2 max pooling with stride [2 2] and padding [0 0 0 0]
  16. 16 'conv3_1' Convolution 256 3x3x128 convolutions with stride [1 1] and padding [1 1 1 1]
  17. 17 'bn_conv3_1' Batch Normalization Batch normalization with 256 channels
  18. 18 'relu3_1' ReLU ReLU
  19. 19 'conv3_2' Convolution 256 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1]
  20. 20 'bn_conv3_2' Batch Normalization Batch normalization with 256 channels
  21. 21 'relu3_2' ReLU ReLU
  22. 22 'conv3_3' Convolution 256 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1]
  23. 23 'bn_conv3_3' Batch Normalization Batch normalization with 256 channels
  24. 24 'relu3_3' ReLU ReLU
  25. 25 'pool3' Max Pooling 2x2 max pooling with stride [2 2] and padding [0 0 0 0]
  26. 26 'conv4_1' Convolution 512 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1]
  27. 27 'bn_conv4_1' Batch Normalization Batch normalization with 512 channels
  28. 28 'relu4_1' ReLU ReLU
  29. 29 'conv4_2' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  30. 30 'bn_conv4_2' Batch Normalization Batch normalization with 512 channels
  31. 31 'relu4_2' ReLU ReLU
  32. 32 'conv4_3' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  33. 33 'bn_conv4_3' Batch Normalization Batch normalization with 512 channels
  34. 34 'relu4_3' ReLU ReLU
  35. 35 'pool4' Max Pooling 2x2 max pooling with stride [2 2] and padding [0 0 0 0]
  36. 36 'conv5_1' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  37. 37 'bn_conv5_1' Batch Normalization Batch normalization with 512 channels
  38. 38 'relu5_1' ReLU ReLU
  39. 39 'conv5_2' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  40. 40 'bn_conv5_2' Batch Normalization Batch normalization with 512 channels
  41. 41 'relu5_2' ReLU ReLU
  42. 42 'conv5_3' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  43. 43 'bn_conv5_3' Batch Normalization Batch normalization with 512 channels
  44. 44 'relu5_3' ReLU ReLU
  45. 45 'pool5' Max Pooling 2x2 max pooling with stride [2 2] and padding [0 0 0 0]
  46. 46 'decoder5_unpool' Max Unpooling Max Unpooling
  47. 47 'decoder5_conv3' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  48. 48 'decoder5_bn_3' Batch Normalization Batch normalization with 512 channels
  49. 49 'decoder5_relu_3' ReLU ReLU
  50. 50 'decoder5_conv2' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  51. 51 'decoder5_bn_2' Batch Normalization Batch normalization with 512 channels
  52. 52 'decoder5_relu_2' ReLU ReLU
  53. 53 'decoder5_conv1' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  54. 54 'decoder5_bn_1' Batch Normalization Batch normalization with 512 channels
  55. 55 'decoder5_relu_1' ReLU ReLU
  56. 56 'decoder4_unpool' Max Unpooling Max Unpooling
  57. 57 'decoder4_conv3' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  58. 58 'decoder4_bn_3' Batch Normalization Batch normalization with 512 channels
  59. 59 'decoder4_relu_3' ReLU ReLU
  60. 60 'decoder4_conv2' Convolution 512 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  61. 61 'decoder4_bn_2' Batch Normalization Batch normalization with 512 channels
  62. 62 'decoder4_relu_2' ReLU ReLU
  63. 63 'decoder4_conv1' Convolution 256 3x3x512 convolutions with stride [1 1] and padding [1 1 1 1]
  64. 64 'decoder4_bn_1' Batch Normalization Batch normalization with 256 channels
  65. 65 'decoder4_relu_1' ReLU ReLU
  66. 66 'decoder3_unpool' Max Unpooling Max Unpooling
  67. 67 'decoder3_conv3' Convolution 256 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1]
  68. 68 'decoder3_bn_3' Batch Normalization Batch normalization with 256 channels
  69. 69 'decoder3_relu_3' ReLU ReLU
  70. 70 'decoder3_conv2' Convolution 256 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1]
  71. 71 'decoder3_bn_2' Batch Normalization Batch normalization with 256 channels
  72. 72 'decoder3_relu_2' ReLU ReLU
  73. 73 'decoder3_conv1' Convolution 128 3x3x256 convolutions with stride [1 1] and padding [1 1 1 1]
  74. 74 'decoder3_bn_1' Batch Normalization Batch normalization with 128 channels
  75. 75 'decoder3_relu_1' ReLU ReLU
  76. 76 'decoder2_unpool' Max Unpooling Max Unpooling
  77. 77 'decoder2_conv2' Convolution 128 3x3x128 convolutions with stride [1 1] and padding [1 1 1 1]
  78. 78 'decoder2_bn_2' Batch Normalization Batch normalization with 128 channels
  79. 79 'decoder2_relu_2' ReLU ReLU
  80. 80 'decoder2_conv1' Convolution 64 3x3x128 convolutions with stride [1 1] and padding [1 1 1 1]
  81. 81 'decoder2_bn_1' Batch Normalization Batch normalization with 64 channels
  82. 82 'decoder2_relu_1' ReLU ReLU
  83. 83 'decoder1_unpool' Max Unpooling Max Unpooling
  84. 84 'decoder1_conv2' Convolution 64 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1]
  85. 85 'decoder1_bn_2' Batch Normalization Batch normalization with 64 channels
  86. 86 'decoder1_relu_2' ReLU ReLU
  87. 87 'decoder1_conv1' Convolution 2 3x3x64 convolutions with stride [1 1] and padding [1 1 1 1]
  88. 88 'decoder1_bn_1' Batch Normalization Batch normalization with 2 channels
  89. 89 'decoder1_relu_1' ReLU ReLU
  90. 90 'softmax' Softmax softmax
  91. 91 'labels' Pixel Classification Layer Class weighted cross-entropy loss with classes 'crack' and 'background'
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