API tools faq
paste
Guest User

Yolo v2 1088x1088

a guest
Mar 1st, 2017
199
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 2.73 KB | None | 0 0
raw download clone embed print report
  1. [net]
  2. batch=64
  3. subdivisions=64
  4. height=1088
  5. width=1088
  6. channels=3
  7. momentum=0.9
  8. decay=0.0005
  9. angle=0
  10. saturation = 1.5
  11. exposure = 1.5
  12. hue=.1
  13.  
  14. learning_rate=0.0001
  15. max_batches = 45000
  16. policy=steps
  17. steps=100,25000,35000
  18. scales=10,.1,.1
  19.  
  20. [convolutional]
  21. batch_normalize=1
  22. filters=32
  23. size=3
  24. stride=1
  25. pad=1
  26. activation=leaky
  27.  
  28. [maxpool]
  29. size=2
  30. stride=2
  31.  
  32. [convolutional]
  33. batch_normalize=1
  34. filters=64
  35. size=3
  36. stride=1
  37. pad=1
  38. activation=leaky
  39.  
  40. [maxpool]
  41. size=2
  42. stride=2
  43.  
  44. [convolutional]
  45. batch_normalize=1
  46. filters=128
  47. size=3
  48. stride=1
  49. pad=1
  50. activation=leaky
  51.  
  52. [convolutional]
  53. batch_normalize=1
  54. filters=64
  55. size=1
  56. stride=1
  57. pad=1
  58. activation=leaky
  59.  
  60. [convolutional]
  61. batch_normalize=1
  62. filters=128
  63. size=3
  64. stride=1
  65. pad=1
  66. activation=leaky
  67.  
  68. [maxpool]
  69. size=2
  70. stride=2
  71.  
  72. [convolutional]
  73. batch_normalize=1
  74. filters=256
  75. size=3
  76. stride=1
  77. pad=1
  78. activation=leaky
  79.  
  80. [convolutional]
  81. batch_normalize=1
  82. filters=128
  83. size=1
  84. stride=1
  85. pad=1
  86. activation=leaky
  87.  
  88. [convolutional]
  89. batch_normalize=1
  90. filters=256
  91. size=3
  92. stride=1
  93. pad=1
  94. activation=leaky
  95.  
  96. [maxpool]
  97. size=2
  98. stride=2
  99.  
  100. [convolutional]
  101. batch_normalize=1
  102. filters=512
  103. size=3
  104. stride=1
  105. pad=1
  106. activation=leaky
  107.  
  108. [convolutional]
  109. batch_normalize=1
  110. filters=256
  111. size=1
  112. stride=1
  113. pad=1
  114. activation=leaky
  115.  
  116. [convolutional]
  117. batch_normalize=1
  118. filters=512
  119. size=3
  120. stride=1
  121. pad=1
  122. activation=leaky
  123.  
  124. [convolutional]
  125. batch_normalize=1
  126. filters=256
  127. size=1
  128. stride=1
  129. pad=1
  130. activation=leaky
  131.  
  132. [convolutional]
  133. batch_normalize=1
  134. filters=512
  135. size=3
  136. stride=1
  137. pad=1
  138. activation=leaky
  139.  
  140. [maxpool]
  141. size=2
  142. stride=2
  143.  
  144. [convolutional]
  145. batch_normalize=1
  146. filters=1024
  147. size=3
  148. stride=1
  149. pad=1
  150. activation=leaky
  151.  
  152. [convolutional]
  153. batch_normalize=1
  154. filters=512
  155. size=1
  156. stride=1
  157. pad=1
  158. activation=leaky
  159.  
  160. [convolutional]
  161. batch_normalize=1
  162. filters=1024
  163. size=3
  164. stride=1
  165. pad=1
  166. activation=leaky
  167.  
  168. [convolutional]
  169. batch_normalize=1
  170. filters=512
  171. size=1
  172. stride=1
  173. pad=1
  174. activation=leaky
  175.  
  176. [convolutional]
  177. batch_normalize=1
  178. filters=1024
  179. size=3
  180. stride=1
  181. pad=1
  182. activation=leaky
  183.  
  184.  
  185. #######
  186.  
  187. [convolutional]
  188. batch_normalize=1
  189. size=3
  190. stride=1
  191. pad=1
  192. filters=1024
  193. activation=leaky
  194.  
  195. [convolutional]
  196. batch_normalize=1
  197. size=3
  198. stride=1
  199. pad=1
  200. filters=1024
  201. activation=leaky
  202.  
  203. [route]
  204. layers=-9
  205.  
  206. [reorg]
  207. stride=2
  208.  
  209. [route]
  210. layers=-1,-3
  211.  
  212. [convolutional]
  213. batch_normalize=1
  214. size=3
  215. stride=1
  216. pad=1
  217. filters=1024
  218. activation=leaky
  219.  
  220. [convolutional]
  221. size=1
  222. stride=1
  223. pad=1
  224. filters=55
  225. activation=linear
  226.  
  227. [region]
  228. anchors = 1.08,1.19, 3.42,4.41, 6.63,11.38, 9.42,5.11, 16.62,10.52
  229. bias_match=1
  230. classes=6
  231. coords=4
  232. num=5
  233. softmax=1
  234. jitter=.2
  235. rescore=1
  236.  
  237. object_scale=5
  238. noobject_scale=1
  239. class_scale=1
  240. coord_scale=1
  241.  
  242. absolute=1
  243. thresh = .6
  244. random=1
Advertisement
Add Comment
Please, Sign In to add comment
Public Pastes
We use cookies for various purposes including analytics. By continuing to use Pastebin, you agree to our use of cookies as described in the Cookies Policy.  OK, I Understand
Not a member of Pastebin yet?
Sign Up, it unlocks many cool features!