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tiny.cfg 1.7 KB

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  1. [net]
  2. # Train
  3. batch=128
  4. subdivisions=1
  5. # Test
  6. # batch=1
  7. # subdivisions=1
  8. height=224
  9. width=224
  10. channels=3
  11. momentum=0.9
  12. decay=0.0005
  13. max_crop=320
  14. learning_rate=0.1
  15. policy=poly
  16. power=4
  17. max_batches=1600000
  18. angle=7
  19. hue=.1
  20. saturation=.75
  21. exposure=.75
  22. aspect=.75
  23. [convolutional]
  24. batch_normalize=1
  25. filters=16
  26. size=3
  27. stride=1
  28. pad=1
  29. activation=leaky
  30. [maxpool]
  31. size=2
  32. stride=2
  33. [convolutional]
  34. batch_normalize=1
  35. filters=32
  36. size=3
  37. stride=1
  38. pad=1
  39. activation=leaky
  40. [maxpool]
  41. size=2
  42. stride=2
  43. [convolutional]
  44. batch_normalize=1
  45. filters=16
  46. size=1
  47. stride=1
  48. pad=1
  49. activation=leaky
  50. [convolutional]
  51. batch_normalize=1
  52. filters=128
  53. size=3
  54. stride=1
  55. pad=1
  56. activation=leaky
  57. [convolutional]
  58. batch_normalize=1
  59. filters=16
  60. size=1
  61. stride=1
  62. pad=1
  63. activation=leaky
  64. [convolutional]
  65. batch_normalize=1
  66. filters=128
  67. size=3
  68. stride=1
  69. pad=1
  70. activation=leaky
  71. [maxpool]
  72. size=2
  73. stride=2
  74. [convolutional]
  75. batch_normalize=1
  76. filters=32
  77. size=1
  78. stride=1
  79. pad=1
  80. activation=leaky
  81. [convolutional]
  82. batch_normalize=1
  83. filters=256
  84. size=3
  85. stride=1
  86. pad=1
  87. activation=leaky
  88. [convolutional]
  89. batch_normalize=1
  90. filters=32
  91. size=1
  92. stride=1
  93. pad=1
  94. activation=leaky
  95. [convolutional]
  96. batch_normalize=1
  97. filters=256
  98. size=3
  99. stride=1
  100. pad=1
  101. activation=leaky
  102. [maxpool]
  103. size=2
  104. stride=2
  105. [convolutional]
  106. batch_normalize=1
  107. filters=64
  108. size=1
  109. stride=1
  110. pad=1
  111. activation=leaky
  112. [convolutional]
  113. batch_normalize=1
  114. filters=512
  115. size=3
  116. stride=1
  117. pad=1
  118. activation=leaky
  119. [convolutional]
  120. batch_normalize=1
  121. filters=64
  122. size=1
  123. stride=1
  124. pad=1
  125. activation=leaky
  126. [convolutional]
  127. batch_normalize=1
  128. filters=512
  129. size=3
  130. stride=1
  131. pad=1
  132. activation=leaky
  133. [convolutional]
  134. batch_normalize=1
  135. filters=128
  136. size=1
  137. stride=1
  138. pad=1
  139. activation=leaky
  140. [convolutional]
  141. filters=1000
  142. size=1
  143. stride=1
  144. pad=1
  145. activation=linear
  146. [avgpool]
  147. [softmax]
  148. groups=1