darknet19_448.cfg 2.0 KB

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