darknet19_448.cfg 2.0 KB

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  1. [net]
  2. #batch=128
  3. #subdivisions=4
  4. batch=1
  5. subdivisions=1
  6. height=448
  7. width=448
  8. max_crop=512
  9. channels=3
  10. momentum=0.9
  11. decay=0.0005
  12. learning_rate=0.001
  13. policy=poly
  14. power=4
  15. max_batches=100000
  16. angle=7
  17. hue = .1
  18. saturation=.75
  19. exposure=.75
  20. aspect=.75
  21. [convolutional]
  22. batch_normalize=1
  23. filters=32
  24. size=3
  25. stride=1
  26. pad=1
  27. activation=leaky
  28. [maxpool]
  29. size=2
  30. stride=2
  31. [convolutional]
  32. batch_normalize=1
  33. filters=64
  34. size=3
  35. stride=1
  36. pad=1
  37. activation=leaky
  38. [maxpool]
  39. size=2
  40. stride=2
  41. [convolutional]
  42. batch_normalize=1
  43. filters=128
  44. size=3
  45. stride=1
  46. pad=1
  47. activation=leaky
  48. [convolutional]
  49. batch_normalize=1
  50. filters=64
  51. size=1
  52. stride=1
  53. pad=1
  54. activation=leaky
  55. [convolutional]
  56. batch_normalize=1
  57. filters=128
  58. size=3
  59. stride=1
  60. pad=1
  61. activation=leaky
  62. [maxpool]
  63. size=2
  64. stride=2
  65. [convolutional]
  66. batch_normalize=1
  67. filters=256
  68. size=3
  69. stride=1
  70. pad=1
  71. activation=leaky
  72. [convolutional]
  73. batch_normalize=1
  74. filters=128
  75. size=1
  76. stride=1
  77. pad=1
  78. activation=leaky
  79. [convolutional]
  80. batch_normalize=1
  81. filters=256
  82. size=3
  83. stride=1
  84. pad=1
  85. activation=leaky
  86. [maxpool]
  87. size=2
  88. stride=2
  89. [convolutional]
  90. batch_normalize=1
  91. filters=512
  92. size=3
  93. stride=1
  94. pad=1
  95. activation=leaky
  96. [convolutional]
  97. batch_normalize=1
  98. filters=256
  99. size=1
  100. stride=1
  101. pad=1
  102. activation=leaky
  103. [convolutional]
  104. batch_normalize=1
  105. filters=512
  106. size=3
  107. stride=1
  108. pad=1
  109. activation=leaky
  110. [convolutional]
  111. batch_normalize=1
  112. filters=256
  113. size=1
  114. stride=1
  115. pad=1
  116. activation=leaky
  117. [convolutional]
  118. batch_normalize=1
  119. filters=512
  120. size=3
  121. stride=1
  122. pad=1
  123. activation=leaky
  124. [maxpool]
  125. size=2
  126. stride=2
  127. [convolutional]
  128. batch_normalize=1
  129. filters=1024
  130. size=3
  131. stride=1
  132. pad=1
  133. activation=leaky
  134. [convolutional]
  135. batch_normalize=1
  136. filters=512
  137. size=1
  138. stride=1
  139. pad=1
  140. activation=leaky
  141. [convolutional]
  142. batch_normalize=1
  143. filters=1024
  144. size=3
  145. stride=1
  146. pad=1
  147. activation=leaky
  148. [convolutional]
  149. batch_normalize=1
  150. filters=512
  151. size=1
  152. stride=1
  153. pad=1
  154. activation=leaky
  155. [convolutional]
  156. batch_normalize=1
  157. filters=1024
  158. size=3
  159. stride=1
  160. pad=1
  161. activation=leaky
  162. [convolutional]
  163. filters=1000
  164. size=1
  165. stride=1
  166. pad=1
  167. activation=linear
  168. [avgpool]
  169. [softmax]
  170. groups=1
  171. [cost]
  172. type=sse