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  1. [net]
  2. # Testing
  3. #batch=1
  4. #subdivisions=1
  5. # Training
  6. batch=64
  7. subdivisions=64
  8. width=416
  9. height=416
  10. channels=3
  11. momentum=0.9
  12. decay=0.0005
  13. angle=0
  14. saturation = 1.5
  15. exposure = 1.5
  16. hue=.1
  17.  
  18. learning_rate=0.001
  19. burn_in=1000
  20. max_batches = 54000
  21. policy=steps
  22. steps=43200,48600
  23. scales=.1,.1
  24.  
  25. [convolutional]
  26. batch_normalize=1
  27. filters=16
  28. size=3
  29. stride=1
  30. pad=1
  31. activation=leaky
  32.  
  33. [maxpool]
  34. size=2
  35. stride=2
  36.  
  37. [convolutional]
  38. xnor=1
  39. bin_output=1
  40. batch_normalize=1
  41. filters=32
  42. size=3
  43. stride=1
  44. pad=1
  45. activation=leaky
  46.  
  47. [maxpool]
  48. size=2
  49. stride=2
  50.  
  51. [convolutional]
  52. xnor=1
  53. bin_output=1
  54. batch_normalize=1
  55. filters=64
  56. size=3
  57. stride=1
  58. pad=1
  59. activation=leaky
  60.  
  61. [maxpool]
  62. size=2
  63. stride=2
  64.  
  65. [convolutional]
  66. xnor=1
  67. bin_output=1
  68. batch_normalize=1
  69. filters=128
  70. size=3
  71. stride=1
  72. pad=1
  73. activation=leaky
  74.  
  75. [maxpool]
  76. size=2
  77. stride=2
  78.  
  79. [convolutional]
  80. xnor=1
  81. batch_normalize=1
  82. filters=256
  83. size=3
  84. stride=1
  85. pad=1
  86. activation=leaky
  87.  
  88. [maxpool]
  89. size=2
  90. stride=2
  91.  
  92. [convolutional]
  93. xnor=1
  94. bin_output=1
  95. batch_normalize=1
  96. filters=512
  97. size=3
  98. stride=1
  99. pad=1
  100. activation=leaky
  101.  
  102. [maxpool]
  103. size=2
  104. stride=1
  105.  
  106. [convolutional]
  107. xnor=1
  108. bin_output=1
  109. batch_normalize=1
  110. filters=1024
  111. size=3
  112. stride=1
  113. pad=1
  114. activation=leaky
  115.  
  116. ###########
  117.  
  118. [convolutional]
  119. xnor=1
  120. batch_normalize=1
  121. filters=256
  122. size=1
  123. stride=1
  124. pad=1
  125. activation=leaky
  126.  
  127. [convolutional]
  128. batch_normalize=1
  129. filters=512
  130. size=3
  131. stride=1
  132. pad=1
  133. activation=leaky
  134.  
  135. [convolutional]
  136. size=1
  137. stride=1
  138. pad=1
  139. filters=96
  140. activation=linear
  141.  
  142.  
  143.  
  144. [yolo]
  145. mask = 3,4,5
  146. anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
  147. classes=27
  148. num=6
  149. jitter=.3
  150. ignore_thresh = .7
  151. truth_thresh = 1
  152. random=1
  153.  
  154. [route]
  155. layers = -4
  156.  
  157. [convolutional]
  158. xnor=1
  159. batch_normalize=1
  160. filters=128
  161. size=1
  162. stride=1
  163. pad=1
  164. activation=leaky
  165.  
  166. [upsample]
  167. stride=2
  168.  
  169. [route]
  170. layers = -1, 8
  171.  
  172. [convolutional]
  173. xnor=1
  174. batch_normalize=1
  175. filters=256
  176. size=3
  177. stride=1
  178. pad=1
  179. activation=leaky
  180.  
  181.  
  182. [convolutional]
  183. size=1
  184. stride=1
  185. pad=1
  186. filters=96
  187. activation=linear
  188.  
  189. [yolo]
  190. mask = 0,1,2
  191. anchors = 10,14,  23,27,  37,58,  81,82,  135,169,  344,319
  192. classes=27
  193. num=6
  194. jitter=.3
  195. ignore_thresh = .7
  196. truth_thresh = 1
  197. random=1
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