tiny.cfg 1.7 KB

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