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extraction22k.cfg 2.1 KB

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  1. [net]
  2. batch=128
  3. subdivisions=1
  4. height=224
  5. width=224
  6. max_crop=320
  7. channels=3
  8. momentum=0.9
  9. decay=0.0005
  10. learning_rate=0.01
  11. max_batches = 0
  12. policy=steps
  13. steps=444000,590000,970000
  14. scales=.5,.2,.1
  15. #policy=sigmoid
  16. #gamma=.00008
  17. #step=100000
  18. #max_batches=200000
  19. [convolutional]
  20. batch_normalize=1
  21. filters=64
  22. size=7
  23. stride=2
  24. pad=1
  25. activation=leaky
  26. [maxpool]
  27. size=2
  28. stride=2
  29. [convolutional]
  30. batch_normalize=1
  31. filters=192
  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=128
  42. size=1
  43. stride=1
  44. pad=1
  45. activation=leaky
  46. [convolutional]
  47. batch_normalize=1
  48. filters=256
  49. size=3
  50. stride=1
  51. pad=1
  52. activation=leaky
  53. [convolutional]
  54. batch_normalize=1
  55. filters=256
  56. size=1
  57. stride=1
  58. pad=1
  59. activation=leaky
  60. [convolutional]
  61. batch_normalize=1
  62. filters=512
  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=256
  73. size=1
  74. stride=1
  75. pad=1
  76. activation=leaky
  77. [convolutional]
  78. batch_normalize=1
  79. filters=512
  80. size=3
  81. stride=1
  82. pad=1
  83. activation=leaky
  84. [convolutional]
  85. batch_normalize=1
  86. filters=256
  87. size=1
  88. stride=1
  89. pad=1
  90. activation=leaky
  91. [convolutional]
  92. batch_normalize=1
  93. filters=512
  94. size=3
  95. stride=1
  96. pad=1
  97. activation=leaky
  98. [convolutional]
  99. batch_normalize=1
  100. filters=256
  101. size=1
  102. stride=1
  103. pad=1
  104. activation=leaky
  105. [convolutional]
  106. batch_normalize=1
  107. filters=512
  108. size=3
  109. stride=1
  110. pad=1
  111. activation=leaky
  112. [convolutional]
  113. batch_normalize=1
  114. filters=256
  115. size=1
  116. stride=1
  117. pad=1
  118. activation=leaky
  119. [convolutional]
  120. batch_normalize=1
  121. filters=512
  122. size=3
  123. stride=1
  124. pad=1
  125. activation=leaky
  126. [convolutional]
  127. batch_normalize=1
  128. filters=512
  129. size=1
  130. stride=1
  131. pad=1
  132. activation=leaky
  133. [convolutional]
  134. batch_normalize=1
  135. filters=1024
  136. size=3
  137. stride=1
  138. pad=1
  139. activation=leaky
  140. [maxpool]
  141. size=2
  142. stride=2
  143. [convolutional]
  144. batch_normalize=1
  145. filters=1024
  146. size=1
  147. stride=1
  148. pad=1
  149. activation=leaky
  150. [convolutional]
  151. batch_normalize=1
  152. filters=2048
  153. size=3
  154. stride=1
  155. pad=1
  156. activation=leaky
  157. [convolutional]
  158. batch_normalize=1
  159. filters=1024
  160. size=1
  161. stride=1
  162. pad=1
  163. activation=leaky
  164. [convolutional]
  165. batch_normalize=1
  166. filters=2048
  167. size=3
  168. stride=1
  169. pad=1
  170. activation=leaky
  171. [avgpool]
  172. [connected]
  173. output=21842
  174. activation=leaky
  175. [softmax]
  176. groups=1