CV之YOLOv3:基于Tensorflow框架利用YOLOv3算法对热播新剧《庆余年》实现目标检测

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一个处女座的程序猿 发表于 2021/03/27 00:47:22 2021/03/27
【摘要】 CV之YOLOv3:基于Tensorflow框架利用YOLOv3算法对热播新剧《庆余年》实现目标检测     目录 搭建 1、下载代码 2、安装依赖库 3、导出COCO权重解压到checkpoint文件夹内 4、测试     搭建 1、下载代码 tensorflow-yolov3 2、安装依赖库 pip ...

CV之YOLOv3:基于Tensorflow框架利用YOLOv3算法对热播新剧《庆余年》实现目标检测

 

 

目录

搭建

1、下载代码

2、安装依赖库

3、导出COCO权重解压到checkpoint文件夹内

4、测试


 

 

搭建

1、下载代码

tensorflow-yolov3
 

2、安装依赖库

pip install -r ./docs/requirements.txt
 

3、导出COCO权重解压到checkpoint文件夹内

Exporting loaded COCO weights as TF checkpoint(yolov3_coco.ckpt

python convert_weight.py
python freeze_graph.py

 

4、测试

 


  
  1. 2019-12-25 15:05:02.766745: I
  2. => yolov3/darknet-53/Conv/weights (3, 3, 3, 32)
  3. => yolov3/darknet-53/Conv/BatchNorm/gamma (32,)
  4. => yolov3/darknet-53/Conv/BatchNorm/beta (32,)
  5. => yolov3/darknet-53/Conv/BatchNorm/moving_mean (32,)
  6. => yolov3/darknet-53/Conv/BatchNorm/moving_variance (32,)
  7. => yolov3/darknet-53/Conv_1/weights (3, 3, 32, 64)
  8. => yolov3/darknet-53/Conv_1/BatchNorm/gamma (64,)
  9. => yolov3/darknet-53/Conv_1/BatchNorm/beta (64,)
  10. => yolov3/darknet-53/Conv_1/BatchNorm/moving_mean (64,)
  11. => yolov3/darknet-53/Conv_1/BatchNorm/moving_variance (64,)
  12. => yolov3/darknet-53/Conv_2/weights (1, 1, 64, 32)
  13. => yolov3/darknet-53/Conv_2/BatchNorm/gamma (32,)
  14. => yolov3/darknet-53/Conv_2/BatchNorm/beta (32,)
  15. => yolov3/darknet-53/Conv_2/BatchNorm/moving_mean (32,)
  16. => yolov3/darknet-53/Conv_2/BatchNorm/moving_variance (32,)
  17. => yolov3/darknet-53/Conv_3/weights (3, 3, 32, 64)
  18. => yolov3/darknet-53/Conv_3/BatchNorm/gamma (64,)
  19. => yolov3/darknet-53/Conv_3/BatchNorm/beta (64,)
  20. => yolov3/darknet-53/Conv_3/BatchNorm/moving_mean (64,)
  21. => yolov3/darknet-53/Conv_3/BatchNorm/moving_variance (64,)
  22. => yolov3/darknet-53/Conv_4/weights (3, 3, 64, 128)
  23. => yolov3/darknet-53/Conv_4/BatchNorm/gamma (128,)
  24. => yolov3/darknet-53/Conv_4/BatchNorm/beta (128,)
  25. => yolov3/darknet-53/Conv_4/BatchNorm/moving_mean (128,)
  26. => yolov3/darknet-53/Conv_4/BatchNorm/moving_variance (128,)
  27. => yolov3/darknet-53/Conv_5/weights (1, 1, 128, 64)
  28. => yolov3/darknet-53/Conv_5/BatchNorm/gamma (64,)
  29. => yolov3/darknet-53/Conv_5/BatchNorm/beta (64,)
  30. => yolov3/darknet-53/Conv_5/BatchNorm/moving_mean (64,)
  31. => yolov3/darknet-53/Conv_5/BatchNorm/moving_variance (64,)
  32. => yolov3/darknet-53/Conv_6/weights (3, 3, 64, 128)
  33. => yolov3/darknet-53/Conv_6/BatchNorm/gamma (128,)
  34. => yolov3/darknet-53/Conv_6/BatchNorm/beta (128,)
  35. => yolov3/darknet-53/Conv_6/BatchNorm/moving_mean (128,)
  36. => yolov3/darknet-53/Conv_6/BatchNorm/moving_variance (128,)
  37. => yolov3/darknet-53/Conv_7/weights (1, 1, 128, 64)
  38. => yolov3/darknet-53/Conv_7/BatchNorm/gamma (64,)
  39. => yolov3/darknet-53/Conv_7/BatchNorm/beta (64,)
  40. => yolov3/darknet-53/Conv_7/BatchNorm/moving_mean (64,)
  41. => yolov3/darknet-53/Conv_7/BatchNorm/moving_variance (64,)
  42. => yolov3/darknet-53/Conv_8/weights (3, 3, 64, 128)
  43. => yolov3/darknet-53/Conv_8/BatchNorm/gamma (128,)
  44. => yolov3/darknet-53/Conv_8/BatchNorm/beta (128,)
  45. => yolov3/darknet-53/Conv_8/BatchNorm/moving_mean (128,)
  46. => yolov3/darknet-53/Conv_8/BatchNorm/moving_variance (128,)
  47. => yolov3/darknet-53/Conv_9/weights (3, 3, 128, 256)
  48. => yolov3/darknet-53/Conv_9/BatchNorm/gamma (256,)
  49. => yolov3/darknet-53/Conv_9/BatchNorm/beta (256,)
  50. => yolov3/darknet-53/Conv_9/BatchNorm/moving_mean (256,)
  51. => yolov3/darknet-53/Conv_9/BatchNorm/moving_variance (256,)
  52. => yolov3/darknet-53/Conv_10/weights (1, 1, 256, 128)
  53. => yolov3/darknet-53/Conv_10/BatchNorm/gamma (128,)
  54. => yolov3/darknet-53/Conv_10/BatchNorm/beta (128,)
  55. => yolov3/darknet-53/Conv_10/BatchNorm/moving_mean (128,)
  56. => yolov3/darknet-53/Conv_10/BatchNorm/moving_variance (128,)
  57. => yolov3/darknet-53/Conv_11/weights (3, 3, 128, 256)
  58. => yolov3/darknet-53/Conv_11/BatchNorm/gamma (256,)
  59. => yolov3/darknet-53/Conv_11/BatchNorm/beta (256,)
  60. => yolov3/darknet-53/Conv_11/BatchNorm/moving_mean (256,)
  61. => yolov3/darknet-53/Conv_11/BatchNorm/moving_variance (256,)
  62. => yolov3/darknet-53/Conv_12/weights (1, 1, 256, 128)
  63. => yolov3/darknet-53/Conv_12/BatchNorm/gamma (128,)
  64. => yolov3/darknet-53/Conv_12/BatchNorm/beta (128,)
  65. => yolov3/darknet-53/Conv_12/BatchNorm/moving_mean (128,)
  66. => yolov3/darknet-53/Conv_12/BatchNorm/moving_variance (128,)
  67. => yolov3/darknet-53/Conv_13/weights (3, 3, 128, 256)
  68. => yolov3/darknet-53/Conv_13/BatchNorm/gamma (256,)
  69. => yolov3/darknet-53/Conv_13/BatchNorm/beta (256,)
  70. => yolov3/darknet-53/Conv_13/BatchNorm/moving_mean (256,)
  71. => yolov3/darknet-53/Conv_13/BatchNorm/moving_variance (256,)
  72. => yolov3/darknet-53/Conv_14/weights (1, 1, 256, 128)
  73. => yolov3/darknet-53/Conv_14/BatchNorm/gamma (128,)
  74. => yolov3/darknet-53/Conv_14/BatchNorm/beta (128,)
  75. => yolov3/darknet-53/Conv_14/BatchNorm/moving_mean (128,)
  76. => yolov3/darknet-53/Conv_14/BatchNorm/moving_variance (128,)
  77. => yolov3/darknet-53/Conv_15/weights (3, 3, 128, 256)
  78. => yolov3/darknet-53/Conv_15/BatchNorm/gamma (256,)
  79. => yolov3/darknet-53/Conv_15/BatchNorm/beta (256,)
  80. => yolov3/darknet-53/Conv_15/BatchNorm/moving_mean (256,)
  81. => yolov3/darknet-53/Conv_15/BatchNorm/moving_variance (256,)
  82. => yolov3/darknet-53/Conv_16/weights (1, 1, 256, 128)
  83. => yolov3/darknet-53/Conv_16/BatchNorm/gamma (128,)
  84. => yolov3/darknet-53/Conv_16/BatchNorm/beta (128,)
  85. => yolov3/darknet-53/Conv_16/BatchNorm/moving_mean (128,)
  86. => yolov3/darknet-53/Conv_16/BatchNorm/moving_variance (128,)
  87. => yolov3/darknet-53/Conv_17/weights (3, 3, 128, 256)
  88. => yolov3/darknet-53/Conv_17/BatchNorm/gamma (256,)
  89. => yolov3/darknet-53/Conv_17/BatchNorm/beta (256,)
  90. => yolov3/darknet-53/Conv_17/BatchNorm/moving_mean (256,)
  91. => yolov3/darknet-53/Conv_17/BatchNorm/moving_variance (256,)
  92. => yolov3/darknet-53/Conv_18/weights (1, 1, 256, 128)
  93. => yolov3/darknet-53/Conv_18/BatchNorm/gamma (128,)
  94. => yolov3/darknet-53/Conv_18/BatchNorm/beta (128,)
  95. => yolov3/darknet-53/Conv_18/BatchNorm/moving_mean (128,)
  96. => yolov3/darknet-53/Conv_18/BatchNorm/moving_variance (128,)
  97. => yolov3/darknet-53/Conv_19/weights (3, 3, 128, 256)
  98. => yolov3/darknet-53/Conv_19/BatchNorm/gamma (256,)
  99. => yolov3/darknet-53/Conv_19/BatchNorm/beta (256,)
  100. => yolov3/darknet-53/Conv_19/BatchNorm/moving_mean (256,)
  101. => yolov3/darknet-53/Conv_19/BatchNorm/moving_variance (256,)
  102. => yolov3/darknet-53/Conv_20/weights (1, 1, 256, 128)
  103. => yolov3/darknet-53/Conv_20/BatchNorm/gamma (128,)
  104. => yolov3/darknet-53/Conv_20/BatchNorm/beta (128,)
  105. => yolov3/darknet-53/Conv_20/BatchNorm/moving_mean (128,)
  106. => yolov3/darknet-53/Conv_20/BatchNorm/moving_variance (128,)
  107. => yolov3/darknet-53/Conv_21/weights (3, 3, 128, 256)
  108. => yolov3/darknet-53/Conv_21/BatchNorm/gamma (256,)
  109. => yolov3/darknet-53/Conv_21/BatchNorm/beta (256,)
  110. => yolov3/darknet-53/Conv_21/BatchNorm/moving_mean (256,)
  111. => yolov3/darknet-53/Conv_21/BatchNorm/moving_variance (256,)
  112. => yolov3/darknet-53/Conv_22/weights (1, 1, 256, 128)
  113. => yolov3/darknet-53/Conv_22/BatchNorm/gamma (128,)
  114. => yolov3/darknet-53/Conv_22/BatchNorm/beta (128,)
  115. => yolov3/darknet-53/Conv_22/BatchNorm/moving_mean (128,)
  116. => yolov3/darknet-53/Conv_22/BatchNorm/moving_variance (128,)
  117. => yolov3/darknet-53/Conv_23/weights (3, 3, 128, 256)
  118. => yolov3/darknet-53/Conv_23/BatchNorm/gamma (256,)
  119. => yolov3/darknet-53/Conv_23/BatchNorm/beta (256,)
  120. => yolov3/darknet-53/Conv_23/BatchNorm/moving_mean (256,)
  121. => yolov3/darknet-53/Conv_23/BatchNorm/moving_variance (256,)
  122. => yolov3/darknet-53/Conv_24/weights (1, 1, 256, 128)
  123. => yolov3/darknet-53/Conv_24/BatchNorm/gamma (128,)
  124. => yolov3/darknet-53/Conv_24/BatchNorm/beta (128,)
  125. => yolov3/darknet-53/Conv_24/BatchNorm/moving_mean (128,)
  126. => yolov3/darknet-53/Conv_24/BatchNorm/moving_variance (128,)
  127. => yolov3/darknet-53/Conv_25/weights (3, 3, 128, 256)
  128. => yolov3/darknet-53/Conv_25/BatchNorm/gamma (256,)
  129. => yolov3/darknet-53/Conv_25/BatchNorm/beta (256,)
  130. => yolov3/darknet-53/Conv_25/BatchNorm/moving_mean (256,)
  131. => yolov3/darknet-53/Conv_25/BatchNorm/moving_variance (256,)
  132. => yolov3/darknet-53/Conv_26/weights (3, 3, 256, 512)
  133. => yolov3/darknet-53/Conv_26/BatchNorm/gamma (512,)
  134. => yolov3/darknet-53/Conv_26/BatchNorm/beta (512,)
  135. => yolov3/darknet-53/Conv_26/BatchNorm/moving_mean (512,)
  136. => yolov3/darknet-53/Conv_26/BatchNorm/moving_variance (512,)
  137. => yolov3/darknet-53/Conv_27/weights (1, 1, 512, 256)
  138. => yolov3/darknet-53/Conv_27/BatchNorm/gamma (256,)
  139. => yolov3/darknet-53/Conv_27/BatchNorm/beta (256,)
  140. => yolov3/darknet-53/Conv_27/BatchNorm/moving_mean (256,)
  141. => yolov3/darknet-53/Conv_27/BatchNorm/moving_variance (256,)
  142. => yolov3/darknet-53/Conv_28/weights (3, 3, 256, 512)
  143. => yolov3/darknet-53/Conv_28/BatchNorm/gamma (512,)
  144. => yolov3/darknet-53/Conv_28/BatchNorm/beta (512,)
  145. => yolov3/darknet-53/Conv_28/BatchNorm/moving_mean (512,)
  146. => yolov3/darknet-53/Conv_28/BatchNorm/moving_variance (512,)
  147. => yolov3/darknet-53/Conv_29/weights (1, 1, 512, 256)
  148. => yolov3/darknet-53/Conv_29/BatchNorm/gamma (256,)
  149. => yolov3/darknet-53/Conv_29/BatchNorm/beta (256,)
  150. => yolov3/darknet-53/Conv_29/BatchNorm/moving_mean (256,)
  151. => yolov3/darknet-53/Conv_29/BatchNorm/moving_variance (256,)
  152. => yolov3/darknet-53/Conv_30/weights (3, 3, 256, 512)
  153. => yolov3/darknet-53/Conv_30/BatchNorm/gamma (512,)
  154. => yolov3/darknet-53/Conv_30/BatchNorm/beta (512,)
  155. => yolov3/darknet-53/Conv_30/BatchNorm/moving_mean (512,)
  156. => yolov3/darknet-53/Conv_30/BatchNorm/moving_variance (512,)
  157. => yolov3/darknet-53/Conv_31/weights (1, 1, 512, 256)
  158. => yolov3/darknet-53/Conv_31/BatchNorm/gamma (256,)
  159. => yolov3/darknet-53/Conv_31/BatchNorm/beta (256,)
  160. => yolov3/darknet-53/Conv_31/BatchNorm/moving_mean (256,)
  161. => yolov3/darknet-53/Conv_31/BatchNorm/moving_variance (256,)
  162. => yolov3/darknet-53/Conv_32/weights (3, 3, 256, 512)
  163. => yolov3/darknet-53/Conv_32/BatchNorm/gamma (512,)
  164. => yolov3/darknet-53/Conv_32/BatchNorm/beta (512,)
  165. => yolov3/darknet-53/Conv_32/BatchNorm/moving_mean (512,)
  166. => yolov3/darknet-53/Conv_32/BatchNorm/moving_variance (512,)
  167. => yolov3/darknet-53/Conv_33/weights (1, 1, 512, 256)
  168. => yolov3/darknet-53/Conv_33/BatchNorm/gamma (256,)
  169. => yolov3/darknet-53/Conv_33/BatchNorm/beta (256,)
  170. => yolov3/darknet-53/Conv_33/BatchNorm/moving_mean (256,)
  171. => yolov3/darknet-53/Conv_33/BatchNorm/moving_variance (256,)
  172. => yolov3/darknet-53/Conv_34/weights (3, 3, 256, 512)
  173. => yolov3/darknet-53/Conv_34/BatchNorm/gamma (512,)
  174. => yolov3/darknet-53/Conv_34/BatchNorm/beta (512,)
  175. => yolov3/darknet-53/Conv_34/BatchNorm/moving_mean (512,)
  176. => yolov3/darknet-53/Conv_34/BatchNorm/moving_variance (512,)
  177. => yolov3/darknet-53/Conv_35/weights (1, 1, 512, 256)
  178. => yolov3/darknet-53/Conv_35/BatchNorm/gamma (256,)
  179. => yolov3/darknet-53/Conv_35/BatchNorm/beta (256,)
  180. => yolov3/darknet-53/Conv_35/BatchNorm/moving_mean (256,)
  181. => yolov3/darknet-53/Conv_35/BatchNorm/moving_variance (256,)
  182. => yolov3/darknet-53/Conv_36/weights (3, 3, 256, 512)
  183. => yolov3/darknet-53/Conv_36/BatchNorm/gamma (512,)
  184. => yolov3/darknet-53/Conv_36/BatchNorm/beta (512,)
  185. => yolov3/darknet-53/Conv_36/BatchNorm/moving_mean (512,)
  186. => yolov3/darknet-53/Conv_36/BatchNorm/moving_variance (512,)
  187. => yolov3/darknet-53/Conv_37/weights (1, 1, 512, 256)
  188. => yolov3/darknet-53/Conv_37/BatchNorm/gamma (256,)
  189. => yolov3/darknet-53/Conv_37/BatchNorm/beta (256,)
  190. => yolov3/darknet-53/Conv_37/BatchNorm/moving_mean (256,)
  191. => yolov3/darknet-53/Conv_37/BatchNorm/moving_variance (256,)
  192. => yolov3/darknet-53/Conv_38/weights (3, 3, 256, 512)
  193. => yolov3/darknet-53/Conv_38/BatchNorm/gamma (512,)
  194. => yolov3/darknet-53/Conv_38/BatchNorm/beta (512,)
  195. => yolov3/darknet-53/Conv_38/BatchNorm/moving_mean (512,)
  196. => yolov3/darknet-53/Conv_38/BatchNorm/moving_variance (512,)
  197. => yolov3/darknet-53/Conv_39/weights (1, 1, 512, 256)
  198. => yolov3/darknet-53/Conv_39/BatchNorm/gamma (256,)
  199. => yolov3/darknet-53/Conv_39/BatchNorm/beta (256,)
  200. => yolov3/darknet-53/Conv_39/BatchNorm/moving_mean (256,)
  201. => yolov3/darknet-53/Conv_39/BatchNorm/moving_variance (256,)
  202. => yolov3/darknet-53/Conv_40/weights (3, 3, 256, 512)
  203. => yolov3/darknet-53/Conv_40/BatchNorm/gamma (512,)
  204. => yolov3/darknet-53/Conv_40/BatchNorm/beta (512,)
  205. => yolov3/darknet-53/Conv_40/BatchNorm/moving_mean (512,)
  206. => yolov3/darknet-53/Conv_40/BatchNorm/moving_variance (512,)
  207. => yolov3/darknet-53/Conv_41/weights (1, 1, 512, 256)
  208. => yolov3/darknet-53/Conv_41/BatchNorm/gamma (256,)
  209. => yolov3/darknet-53/Conv_41/BatchNorm/beta (256,)
  210. => yolov3/darknet-53/Conv_41/BatchNorm/moving_mean (256,)
  211. => yolov3/darknet-53/Conv_41/BatchNorm/moving_variance (256,)
  212. => yolov3/darknet-53/Conv_42/weights (3, 3, 256, 512)
  213. => yolov3/darknet-53/Conv_42/BatchNorm/gamma (512,)
  214. => yolov3/darknet-53/Conv_42/BatchNorm/beta (512,)
  215. => yolov3/darknet-53/Conv_42/BatchNorm/moving_mean (512,)
  216. => yolov3/darknet-53/Conv_42/BatchNorm/moving_variance (512,)
  217. => yolov3/darknet-53/Conv_43/weights (3, 3, 512, 1024)
  218. => yolov3/darknet-53/Conv_43/BatchNorm/gamma (1024,)
  219. => yolov3/darknet-53/Conv_43/BatchNorm/beta (1024,)
  220. => yolov3/darknet-53/Conv_43/BatchNorm/moving_mean (1024,)
  221. => yolov3/darknet-53/Conv_43/BatchNorm/moving_variance (1024,)
  222. => yolov3/darknet-53/Conv_44/weights (1, 1, 1024, 512)
  223. => yolov3/darknet-53/Conv_44/BatchNorm/gamma (512,)
  224. => yolov3/darknet-53/Conv_44/BatchNorm/beta (512,)
  225. => yolov3/darknet-53/Conv_44/BatchNorm/moving_mean (512,)
  226. => yolov3/darknet-53/Conv_44/BatchNorm/moving_variance (512,)
  227. => yolov3/darknet-53/Conv_45/weights (3, 3, 512, 1024)
  228. => yolov3/darknet-53/Conv_45/BatchNorm/gamma (1024,)
  229. => yolov3/darknet-53/Conv_45/BatchNorm/beta (1024,)
  230. => yolov3/darknet-53/Conv_45/BatchNorm/moving_mean (1024,)
  231. => yolov3/darknet-53/Conv_45/BatchNorm/moving_variance (1024,)
  232. => yolov3/darknet-53/Conv_46/weights (1, 1, 1024, 512)
  233. => yolov3/darknet-53/Conv_46/BatchNorm/gamma (512,)
  234. => yolov3/darknet-53/Conv_46/BatchNorm/beta (512,)
  235. => yolov3/darknet-53/Conv_46/BatchNorm/moving_mean (512,)
  236. => yolov3/darknet-53/Conv_46/BatchNorm/moving_variance (512,)
  237. => yolov3/darknet-53/Conv_47/weights (3, 3, 512, 1024)
  238. => yolov3/darknet-53/Conv_47/BatchNorm/gamma (1024,)
  239. => yolov3/darknet-53/Conv_47/BatchNorm/beta (1024,)
  240. => yolov3/darknet-53/Conv_47/BatchNorm/moving_mean (1024,)
  241. => yolov3/darknet-53/Conv_47/BatchNorm/moving_variance (1024,)
  242. => yolov3/darknet-53/Conv_48/weights (1, 1, 1024, 512)
  243. => yolov3/darknet-53/Conv_48/BatchNorm/gamma (512,)
  244. => yolov3/darknet-53/Conv_48/BatchNorm/beta (512,)
  245. => yolov3/darknet-53/Conv_48/BatchNorm/moving_mean (512,)
  246. => yolov3/darknet-53/Conv_48/BatchNorm/moving_variance (512,)
  247. => yolov3/darknet-53/Conv_49/weights (3, 3, 512, 1024)
  248. => yolov3/darknet-53/Conv_49/BatchNorm/gamma (1024,)
  249. => yolov3/darknet-53/Conv_49/BatchNorm/beta (1024,)
  250. => yolov3/darknet-53/Conv_49/BatchNorm/moving_mean (1024,)
  251. => yolov3/darknet-53/Conv_49/BatchNorm/moving_variance (1024,)
  252. => yolov3/darknet-53/Conv_50/weights (1, 1, 1024, 512)
  253. => yolov3/darknet-53/Conv_50/BatchNorm/gamma (512,)
  254. => yolov3/darknet-53/Conv_50/BatchNorm/beta (512,)
  255. => yolov3/darknet-53/Conv_50/BatchNorm/moving_mean (512,)
  256. => yolov3/darknet-53/Conv_50/BatchNorm/moving_variance (512,)
  257. => yolov3/darknet-53/Conv_51/weights (3, 3, 512, 1024)
  258. => yolov3/darknet-53/Conv_51/BatchNorm/gamma (1024,)
  259. => yolov3/darknet-53/Conv_51/BatchNorm/beta (1024,)
  260. => yolov3/darknet-53/Conv_51/BatchNorm/moving_mean (1024,)
  261. => yolov3/darknet-53/Conv_51/BatchNorm/moving_variance (1024,)
  262. => yolov3/yolo-v3/Conv/weights (1, 1, 1024, 512)
  263. => yolov3/yolo-v3/Conv/BatchNorm/gamma (512,)
  264. => yolov3/yolo-v3/Conv/BatchNorm/beta (512,)
  265. => yolov3/yolo-v3/Conv/BatchNorm/moving_mean (512,)
  266. => yolov3/yolo-v3/Conv/BatchNorm/moving_variance (512,)
  267. => yolov3/yolo-v3/Conv_1/weights (3, 3, 512, 1024)
  268. => yolov3/yolo-v3/Conv_1/BatchNorm/gamma (1024,)
  269. => yolov3/yolo-v3/Conv_1/BatchNorm/beta (1024,)
  270. => yolov3/yolo-v3/Conv_1/BatchNorm/moving_mean (1024,)
  271. => yolov3/yolo-v3/Conv_1/BatchNorm/moving_variance (1024,)
  272. => yolov3/yolo-v3/Conv_2/weights (1, 1, 1024, 512)
  273. => yolov3/yolo-v3/Conv_2/BatchNorm/gamma (512,)
  274. => yolov3/yolo-v3/Conv_2/BatchNorm/beta (512,)
  275. => yolov3/yolo-v3/Conv_2/BatchNorm/moving_mean (512,)
  276. => yolov3/yolo-v3/Conv_2/BatchNorm/moving_variance (512,)
  277. => yolov3/yolo-v3/Conv_3/weights (3, 3, 512, 1024)
  278. => yolov3/yolo-v3/Conv_3/BatchNorm/gamma (1024,)
  279. => yolov3/yolo-v3/Conv_3/BatchNorm/beta (1024,)
  280. => yolov3/yolo-v3/Conv_3/BatchNorm/moving_mean (1024,)
  281. => yolov3/yolo-v3/Conv_3/BatchNorm/moving_variance (1024,)
  282. => yolov3/yolo-v3/Conv_4/weights (1, 1, 1024, 512)
  283. => yolov3/yolo-v3/Conv_4/BatchNorm/gamma (512,)
  284. => yolov3/yolo-v3/Conv_4/BatchNorm/beta (512,)
  285. => yolov3/yolo-v3/Conv_4/BatchNorm/moving_mean (512,)
  286. => yolov3/yolo-v3/Conv_4/BatchNorm/moving_variance (512,)
  287. => yolov3/yolo-v3/Conv_5/weights (3, 3, 512, 1024)
  288. => yolov3/yolo-v3/Conv_5/BatchNorm/gamma (1024,)
  289. => yolov3/yolo-v3/Conv_5/BatchNorm/beta (1024,)
  290. => yolov3/yolo-v3/Conv_5/BatchNorm/moving_mean (1024,)
  291. => yolov3/yolo-v3/Conv_5/BatchNorm/moving_variance (1024,)
  292. => yolov3/yolo-v3/Conv_6/weights (1, 1, 1024, 255)
  293. => yolov3/yolo-v3/Conv_6/biases (255,)
  294. => yolov3/yolo-v3/Conv_7/weights (1, 1, 512, 256)
  295. => yolov3/yolo-v3/Conv_7/BatchNorm/gamma (256,)
  296. => yolov3/yolo-v3/Conv_7/BatchNorm/beta (256,)
  297. => yolov3/yolo-v3/Conv_7/BatchNorm/moving_mean (256,)
  298. => yolov3/yolo-v3/Conv_7/BatchNorm/moving_variance (256,)
  299. => yolov3/yolo-v3/Conv_8/weights (1, 1, 768, 256)
  300. => yolov3/yolo-v3/Conv_8/BatchNorm/gamma (256,)
  301. => yolov3/yolo-v3/Conv_8/BatchNorm/beta (256,)
  302. => yolov3/yolo-v3/Conv_8/BatchNorm/moving_mean (256,)
  303. => yolov3/yolo-v3/Conv_8/BatchNorm/moving_variance (256,)
  304. => yolov3/yolo-v3/Conv_9/weights (3, 3, 256, 512)
  305. => yolov3/yolo-v3/Conv_9/BatchNorm/gamma (512,)
  306. => yolov3/yolo-v3/Conv_9/BatchNorm/beta (512,)
  307. => yolov3/yolo-v3/Conv_9/BatchNorm/moving_mean (512,)
  308. => yolov3/yolo-v3/Conv_9/BatchNorm/moving_variance (512,)
  309. => yolov3/yolo-v3/Conv_10/weights (1, 1, 512, 256)
  310. => yolov3/yolo-v3/Conv_10/BatchNorm/gamma (256,)
  311. => yolov3/yolo-v3/Conv_10/BatchNorm/beta (256,)
  312. => yolov3/yolo-v3/Conv_10/BatchNorm/moving_mean (256,)
  313. => yolov3/yolo-v3/Conv_10/BatchNorm/moving_variance (256,)
  314. => yolov3/yolo-v3/Conv_11/weights (3, 3, 256, 512)
  315. => yolov3/yolo-v3/Conv_11/BatchNorm/gamma (512,)
  316. => yolov3/yolo-v3/Conv_11/BatchNorm/beta (512,)
  317. => yolov3/yolo-v3/Conv_11/BatchNorm/moving_mean (512,)
  318. => yolov3/yolo-v3/Conv_11/BatchNorm/moving_variance (512,)
  319. => yolov3/yolo-v3/Conv_12/weights (1, 1, 512, 256)
  320. => yolov3/yolo-v3/Conv_12/BatchNorm/gamma (256,)
  321. => yolov3/yolo-v3/Conv_12/BatchNorm/beta (256,)
  322. => yolov3/yolo-v3/Conv_12/BatchNorm/moving_mean (256,)
  323. => yolov3/yolo-v3/Conv_12/BatchNorm/moving_variance (256,)
  324. => yolov3/yolo-v3/Conv_13/weights (3, 3, 256, 512)
  325. => yolov3/yolo-v3/Conv_13/BatchNorm/gamma (512,)
  326. => yolov3/yolo-v3/Conv_13/BatchNorm/beta (512,)
  327. => yolov3/yolo-v3/Conv_13/BatchNorm/moving_mean (512,)
  328. => yolov3/yolo-v3/Conv_13/BatchNorm/moving_variance (512,)
  329. => yolov3/yolo-v3/Conv_14/weights (1, 1, 512, 255)
  330. => yolov3/yolo-v3/Conv_14/biases (255,)
  331. => yolov3/yolo-v3/Conv_15/weights (1, 1, 256, 128)
  332. => yolov3/yolo-v3/Conv_15/BatchNorm/gamma (128,)
  333. => yolov3/yolo-v3/Conv_15/BatchNorm/beta (128,)
  334. => yolov3/yolo-v3/Conv_15/BatchNorm/moving_mean (128,)
  335. => yolov3/yolo-v3/Conv_15/BatchNorm/moving_variance (128,)
  336. => yolov3/yolo-v3/Conv_16/weights (1, 1, 384, 128)
  337. => yolov3/yolo-v3/Conv_16/BatchNorm/gamma (128,)
  338. => yolov3/yolo-v3/Conv_16/BatchNorm/beta (128,)
  339. => yolov3/yolo-v3/Conv_16/BatchNorm/moving_mean (128,)
  340. => yolov3/yolo-v3/Conv_16/BatchNorm/moving_variance (128,)
  341. => yolov3/yolo-v3/Conv_17/weights (3, 3, 128, 256)
  342. => yolov3/yolo-v3/Conv_17/BatchNorm/gamma (256,)
  343. => yolov3/yolo-v3/Conv_17/BatchNorm/beta (256,)
  344. => yolov3/yolo-v3/Conv_17/BatchNorm/moving_mean (256,)
  345. => yolov3/yolo-v3/Conv_17/BatchNorm/moving_variance (256,)
  346. => yolov3/yolo-v3/Conv_18/weights (1, 1, 256, 128)
  347. => yolov3/yolo-v3/Conv_18/BatchNorm/gamma (128,)
  348. => yolov3/yolo-v3/Conv_18/BatchNorm/beta (128,)
  349. => yolov3/yolo-v3/Conv_18/BatchNorm/moving_mean (128,)
  350. => yolov3/yolo-v3/Conv_18/BatchNorm/moving_variance (128,)
  351. => yolov3/yolo-v3/Conv_19/weights (3, 3, 128, 256)
  352. => yolov3/yolo-v3/Conv_19/BatchNorm/gamma (256,)
  353. => yolov3/yolo-v3/Conv_19/BatchNorm/beta (256,)
  354. => yolov3/yolo-v3/Conv_19/BatchNorm/moving_mean (256,)
  355. => yolov3/yolo-v3/Conv_19/BatchNorm/moving_variance (256,)
  356. => yolov3/yolo-v3/Conv_20/weights (1, 1, 256, 128)
  357. => yolov3/yolo-v3/Conv_20/BatchNorm/gamma (128,)
  358. => yolov3/yolo-v3/Conv_20/BatchNorm/beta (128,)
  359. => yolov3/yolo-v3/Conv_20/BatchNorm/moving_mean (128,)
  360. => yolov3/yolo-v3/Conv_20/BatchNorm/moving_variance (128,)
  361. => yolov3/yolo-v3/Conv_21/weights (3, 3, 128, 256)
  362. => yolov3/yolo-v3/Conv_21/BatchNorm/gamma (256,)
  363. => yolov3/yolo-v3/Conv_21/BatchNorm/beta (256,)
  364. => yolov3/yolo-v3/Conv_21/BatchNorm/moving_mean (256,)
  365. => yolov3/yolo-v3/Conv_21/BatchNorm/moving_variance (256,)
  366. => yolov3/yolo-v3/Conv_22/weights (1, 1, 256, 255)
  367. => yolov3/yolo-v3/Conv_22/biases (255,)

 

Tensor("conv_sbbox/BiasAdd:0", shape=(?, ?, ?, 255), dtype=float32) Tensor("conv_mbbox/BiasAdd:0", shape=(?, ?, ?, 255), dtype=float32) Tensor("conv_lbbox/BiasAdd:0", shape=(?, ?, ?, 255), dtype=float32)

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

文章来源: yunyaniu.blog.csdn.net,作者:一个处女座的程序猿,版权归原作者所有,如需转载,请联系作者。

原文链接:yunyaniu.blog.csdn.net/article/details/103695177

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