darknet.cfg 1.1 KB

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  1. [net]
  2. # Training
  3. # batch=128
  4. # subdivisions=1
  5. # Testing
  6. batch=1
  7. subdivisions=1
  8. height=256
  9. width=256
  10. min_crop=128
  11. max_crop=448
  12. channels=3
  13. momentum=0.9
  14. decay=0.0005
  15. burn_in=1000
  16. learning_rate=0.1
  17. policy=poly
  18. power=4
  19. max_batches=800000
  20. angle=7
  21. hue=.1
  22. saturation=.75
  23. exposure=.75
  24. aspect=.75
  25. [convolutional]
  26. batch_normalize=1
  27. filters=16
  28. size=3
  29. stride=1
  30. pad=1
  31. activation=leaky
  32. [maxpool]
  33. size=2
  34. stride=2
  35. [convolutional]
  36. batch_normalize=1
  37. filters=32
  38. size=3
  39. stride=1
  40. pad=1
  41. activation=leaky
  42. [maxpool]
  43. size=2
  44. stride=2
  45. [convolutional]
  46. batch_normalize=1
  47. filters=64
  48. size=3
  49. stride=1
  50. pad=1
  51. activation=leaky
  52. [maxpool]
  53. size=2
  54. stride=2
  55. [convolutional]
  56. batch_normalize=1
  57. filters=128
  58. size=3
  59. stride=1
  60. pad=1
  61. activation=leaky
  62. [maxpool]
  63. size=2
  64. stride=2
  65. [convolutional]
  66. batch_normalize=1
  67. filters=256
  68. size=3
  69. stride=1
  70. pad=1
  71. activation=leaky
  72. [maxpool]
  73. size=2
  74. stride=2
  75. [convolutional]
  76. batch_normalize=1
  77. filters=512
  78. size=3
  79. stride=1
  80. pad=1
  81. activation=leaky
  82. [maxpool]
  83. size=2
  84. stride=2
  85. [convolutional]
  86. batch_normalize=1
  87. filters=1024
  88. size=3
  89. stride=1
  90. pad=1
  91. activation=leaky
  92. [avgpool]
  93. [convolutional]
  94. filters=1000
  95. size=1
  96. stride=1
  97. pad=1
  98. activation=linear
  99. [softmax]
  100. groups=1