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darknet19.cfg 2.0 KB

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  1. [net]
  2. # Training
  3. #batch=128
  4. #subdivisions=2
  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=32
  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=64
  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=128
  48. size=3
  49. stride=1
  50. pad=1
  51. activation=leaky
  52. [convolutional]
  53. batch_normalize=1
  54. filters=64
  55. size=1
  56. stride=1
  57. pad=1
  58. activation=leaky
  59. [convolutional]
  60. batch_normalize=1
  61. filters=128
  62. size=3
  63. stride=1
  64. pad=1
  65. activation=leaky
  66. [maxpool]
  67. size=2
  68. stride=2
  69. [convolutional]
  70. batch_normalize=1
  71. filters=256
  72. size=3
  73. stride=1
  74. pad=1
  75. activation=leaky
  76. [convolutional]
  77. batch_normalize=1
  78. filters=128
  79. size=1
  80. stride=1
  81. pad=1
  82. activation=leaky
  83. [convolutional]
  84. batch_normalize=1
  85. filters=256
  86. size=3
  87. stride=1
  88. pad=1
  89. activation=leaky
  90. [maxpool]
  91. size=2
  92. stride=2
  93. [convolutional]
  94. batch_normalize=1
  95. filters=512
  96. size=3
  97. stride=1
  98. pad=1
  99. activation=leaky
  100. [convolutional]
  101. batch_normalize=1
  102. filters=256
  103. size=1
  104. stride=1
  105. pad=1
  106. activation=leaky
  107. [convolutional]
  108. batch_normalize=1
  109. filters=512
  110. size=3
  111. stride=1
  112. pad=1
  113. activation=leaky
  114. [convolutional]
  115. batch_normalize=1
  116. filters=256
  117. size=1
  118. stride=1
  119. pad=1
  120. activation=leaky
  121. [convolutional]
  122. batch_normalize=1
  123. filters=512
  124. size=3
  125. stride=1
  126. pad=1
  127. activation=leaky
  128. [maxpool]
  129. size=2
  130. stride=2
  131. [convolutional]
  132. batch_normalize=1
  133. filters=1024
  134. size=3
  135. stride=1
  136. pad=1
  137. activation=leaky
  138. [convolutional]
  139. batch_normalize=1
  140. filters=512
  141. size=1
  142. stride=1
  143. pad=1
  144. activation=leaky
  145. [convolutional]
  146. batch_normalize=1
  147. filters=1024
  148. size=3
  149. stride=1
  150. pad=1
  151. activation=leaky
  152. [convolutional]
  153. batch_normalize=1
  154. filters=512
  155. size=1
  156. stride=1
  157. pad=1
  158. activation=leaky
  159. [convolutional]
  160. batch_normalize=1
  161. filters=1024
  162. size=3
  163. stride=1
  164. pad=1
  165. activation=leaky
  166. [convolutional]
  167. filters=1000
  168. size=1
  169. stride=1
  170. pad=1
  171. activation=linear
  172. [avgpool]
  173. [softmax]
  174. groups=1