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strided.cfg 1.7 KB

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  1. [net]
  2. batch=128
  3. subdivisions=4
  4. height=256
  5. width=256
  6. channels=3
  7. momentum=0.9
  8. decay=0.0005
  9. learning_rate=0.01
  10. policy=steps
  11. scales=.1,.1,.1
  12. steps=200000,300000,400000
  13. max_batches=800000
  14. [crop]
  15. crop_height=224
  16. crop_width=224
  17. flip=1
  18. angle=0
  19. saturation=1
  20. exposure=1
  21. shift=.2
  22. [convolutional]
  23. filters=64
  24. size=7
  25. stride=2
  26. pad=1
  27. activation=ramp
  28. [convolutional]
  29. filters=192
  30. size=3
  31. stride=2
  32. pad=1
  33. activation=ramp
  34. [convolutional]
  35. filters=128
  36. size=1
  37. stride=1
  38. pad=1
  39. activation=ramp
  40. [convolutional]
  41. filters=256
  42. size=3
  43. stride=2
  44. pad=1
  45. activation=ramp
  46. [convolutional]
  47. filters=128
  48. size=1
  49. stride=1
  50. pad=1
  51. activation=ramp
  52. [convolutional]
  53. filters=256
  54. size=3
  55. stride=1
  56. pad=1
  57. activation=ramp
  58. [convolutional]
  59. filters=128
  60. size=1
  61. stride=1
  62. pad=1
  63. activation=ramp
  64. [convolutional]
  65. filters=512
  66. size=3
  67. stride=2
  68. pad=1
  69. activation=ramp
  70. [convolutional]
  71. filters=256
  72. size=1
  73. stride=1
  74. pad=1
  75. activation=ramp
  76. [convolutional]
  77. filters=512
  78. size=3
  79. stride=1
  80. pad=1
  81. activation=ramp
  82. [convolutional]
  83. filters=256
  84. size=1
  85. stride=1
  86. pad=1
  87. activation=ramp
  88. [convolutional]
  89. filters=512
  90. size=3
  91. stride=1
  92. pad=1
  93. activation=ramp
  94. [convolutional]
  95. filters=256
  96. size=1
  97. stride=1
  98. pad=1
  99. activation=ramp
  100. [convolutional]
  101. filters=512
  102. size=3
  103. stride=1
  104. pad=1
  105. activation=ramp
  106. [convolutional]
  107. filters=256
  108. size=1
  109. stride=1
  110. pad=1
  111. activation=ramp
  112. [convolutional]
  113. filters=512
  114. size=3
  115. stride=1
  116. pad=1
  117. activation=ramp
  118. [convolutional]
  119. filters=256
  120. size=1
  121. stride=1
  122. pad=1
  123. activation=ramp
  124. [convolutional]
  125. filters=1024
  126. size=3
  127. stride=2
  128. pad=1
  129. activation=ramp
  130. [convolutional]
  131. filters=512
  132. size=1
  133. stride=1
  134. pad=1
  135. activation=ramp
  136. [convolutional]
  137. filters=1024
  138. size=3
  139. stride=1
  140. pad=1
  141. activation=ramp
  142. [maxpool]
  143. size=3
  144. stride=2
  145. [connected]
  146. output=4096
  147. activation=ramp
  148. [dropout]
  149. probability=0.5
  150. [connected]
  151. output=1000
  152. activation=ramp
  153. [softmax]