DL之pix2pix:基于TF利用pix2pix模型对food_resized数据集实现Auto Color自动上色技术—训练&测试过程全记录


大海
大海 2022-09-19 16:26:47 51100
分类专栏: 资讯

DL之pix2pix:基于TF利用pix2pix模型对food_resized数据集实现Auto Color自动上色技术

目录

训练

food_resized数据集展示

TB过程监控

1、SCALARS

2、IMAGES

3、GRAPHS

4、DISTRIBUTIONS

输出结果

训练过程

测试

测试代码


训练

food_resized数据集展示

food_resized数据集包含两个文件夹分别是train(含有7472张)、val文件夹(含有1868张)。

TB过程监控

1、SCALARS

2、IMAGES

inputs_summary

outputs_summary
predict_fake_summarypredict_real_summary
targets_summary  

3、GRAPHS

4、DISTRIBUTIONS

 

训练过程

1014~2300

  1. 开始训练
  2. aspect_ratio = 1.0
  3. batch_size = 1
  4. beta1 = 0.5
  5. checkpoint = None
  6. display_freq = 0
  7. flip = True
  8. gan_weight = 1.0
  9. input_dir = datasets/colorlization/food_resized/train
  10. l1_weight = 100.0
  11. lab_colorization = True
  12. lr = 0.0002
  13. max_epochs = 70
  14. max_steps = None
  15. mode = train
  16. ndf = 64
  17. ngf = 64
  18. output_dir = colorlization_food
  19. output_filetype = png
  20. progress_freq = 50
  21. save_freq = 5000
  22. scale_size = 286
  23. seed = 1739403374
  24. summary_freq = 100
  25. trace_freq = 0
  26. which_direction = AtoB
  27. examples count = 7472
  28. 2018-10-08 10:14:52.243605:
  29. parameter_count = 57176448
  30. parameter_count = 57176448
  31. progress epoch 1 step 50 image/sec 0.3 remaining 775m
  32. discrim_loss 0.62115204
  33. gen_loss_GAN 0.32054898
  34. gen_loss_L1 0.053016115
  35. recording summary
  36. progress epoch 1 step 100 image/sec 0.3 remaining 772m
  37. discrim_loss 0.94412124
  38. gen_loss_GAN 0.49388388
  39. gen_loss_L1 0.0746072
  40. progress epoch 1 step 150 image/sec 0.3 remaining 764m
  41. discrim_loss 1.0989376
  42. gen_loss_GAN 0.61638796
  43. gen_loss_L1 0.091716774
  44. recording summary
  45. progress epoch 1 step 200 image/sec 0.3 remaining 809m
  46. discrim_loss 1.1131265
  47. gen_loss_GAN 0.8062535
  48. gen_loss_L1 0.10253964
  49. progress epoch 1 step 250 image/sec 0.3 remaining 800m
  50. discrim_loss 1.0876915
  51. gen_loss_GAN 1.0041593
  52. gen_loss_L1 0.105531484
  53. recording summary
  54. progress epoch 1 step 300 image/sec 0.3 remaining 784m
  55. discrim_loss 1.1135826
  56. gen_loss_GAN 1.1223749
  57. gen_loss_L1 0.10621897
  58. progress epoch 1 step 350 image/sec 0.3 remaining 773m
  59. discrim_loss 1.0985996
  60. gen_loss_GAN 1.2152339
  61. gen_loss_L1 0.115552105
  62. recording summary
  63. progress epoch 1 step 400 image/sec 0.3 remaining 757m
  64. discrim_loss 1.0865264
  65. gen_loss_GAN 1.256914
  66. gen_loss_L1 0.11868134
  67. progress epoch 1 step 450 image/sec 0.3 remaining 743m
  68. discrim_loss 1.0460857
  69. gen_loss_GAN 1.2697574
  70. gen_loss_L1 0.118321225
  71. recording summary
  72. progress epoch 1 step 500 image/sec 0.3 remaining 731m
  73. discrim_loss 1.0442727
  74. gen_loss_GAN 1.329202
  75. gen_loss_L1 0.11831482
  76. progress epoch 1 step 550 image/sec 0.3 remaining 719m
  77. discrim_loss 1.0788169
  78. gen_loss_GAN 1.289733
  79. gen_loss_L1 0.116190314
  80. recording summary
  81. progress epoch 1 step 600 image/sec 0.3 remaining 712m
  82. discrim_loss 1.0257062
  83. gen_loss_GAN 1.3354563
  84. gen_loss_L1 0.117284976
  85. progress epoch 1 step 650 image/sec 0.3 remaining 705m
  86. discrim_loss 1.0450379
  87. gen_loss_GAN 1.3233901
  88. gen_loss_L1 0.12282534
  89. recording summary
  90. progress epoch 1 step 700 image/sec 0.3 remaining 702m
  91. discrim_loss 1.1048021
  92. gen_loss_GAN 1.2816317
  93. gen_loss_L1 0.12615271
  94. progress epoch 1 step 750 image/sec 0.3 remaining 701m
  95. discrim_loss 1.1048292
  96. gen_loss_GAN 1.2455337
  97. gen_loss_L1 0.12358355
  98. recording summary
  99. progress epoch 1 step 800 image/sec 0.3 remaining 697m
  100. discrim_loss 1.08388
  101. gen_loss_GAN 1.2809262
  102. gen_loss_L1 0.12027298
  103. progress epoch 1 step 850 image/sec 0.3 remaining 697m
  104. discrim_loss 1.0998135
  105. gen_loss_GAN 1.2463636
  106. gen_loss_L1 0.11875751
  107. recording summary
  108. progress epoch 1 step 900 image/sec 0.3 remaining 698m
  109. discrim_loss 1.0821528
  110. gen_loss_GAN 1.2356712
  111. gen_loss_L1 0.116755895
  112. progress epoch 1 step 950 image/sec 0.3 remaining 695m
  113. discrim_loss 1.0927113
  114. gen_loss_GAN 1.2259306
  115. gen_loss_L1 0.11555332
  116. recording summary
  117. progress epoch 1 step 1000 image/sec 0.3 remaining 690m
  118. discrim_loss 1.0598176
  119. gen_loss_GAN 1.232778
  120. gen_loss_L1 0.11947774
  121. progress epoch 1 step 1050 image/sec 0.3 remaining 686m
  122. discrim_loss 1.0703127
  123. gen_loss_GAN 1.2645109
  124. gen_loss_L1 0.1193775
  125. recording summary
  126. progress epoch 1 step 1100 image/sec 0.3 remaining 683m
  127. discrim_loss 1.0416253
  128. gen_loss_GAN 1.298146
  129. gen_loss_L1 0.12060161
  130. progress epoch 1 step 1150 image/sec 0.3 remaining 680m
  131. discrim_loss 1.0654762
  132. gen_loss_GAN 1.2623503
  133. gen_loss_L1 0.11927286
  134. recording summary
  135. progress epoch 1 step 1200 image/sec 0.3 remaining 677m
  136. discrim_loss 1.027089
  137. gen_loss_GAN 1.3017185
  138. gen_loss_L1 0.11801368
  139. progress epoch 1 step 1250 image/sec 0.3 remaining 674m
  140. discrim_loss 0.9931668
  141. gen_loss_GAN 1.3387213
  142. gen_loss_L1 0.1153132
  143. recording summary
  144. progress epoch 1 step 1300 image/sec 0.3 remaining 670m
  145. discrim_loss 1.0244601
  146. gen_loss_GAN 1.3321183
  147. gen_loss_L1 0.116006255
  148. progress epoch 1 step 1350 image/sec 0.3 remaining 665m
  149. discrim_loss 1.0471783
  150. gen_loss_GAN 1.2837918
  151. gen_loss_L1 0.11803301
  152. recording summary
  153. progress epoch 1 step 1400 image/sec 0.3 remaining 660m
  154. discrim_loss 1.0412923
  155. gen_loss_GAN 1.2881491
  156. gen_loss_L1 0.11771501
  157. progress epoch 1 step 1450 image/sec 0.3 remaining 656m
  158. discrim_loss 1.0294466
  159. gen_loss_GAN 1.2744259
  160. gen_loss_L1 0.116808206
  161. recording summary
  162. progress epoch 1 step 1500 image/sec 0.3 remaining 652m
  163. discrim_loss 1.0183508
  164. gen_loss_GAN 1.292259
  165. gen_loss_L1 0.113540195
  166. progress epoch 1 step 1550 image/sec 0.3 remaining 647m
  167. discrim_loss 1.0143778
  168. gen_loss_GAN 1.3468136
  169. gen_loss_L1 0.118333735
  170. recording summary
  171. progress epoch 1 step 1600 image/sec 0.3 remaining 643m
  172. discrim_loss 1.0525765
  173. gen_loss_GAN 1.2853703
  174. gen_loss_L1 0.118325554
  175. progress epoch 1 step 1650 image/sec 0.3 remaining 642m
  176. discrim_loss 1.0654823
  177. gen_loss_GAN 1.2534837
  178. gen_loss_L1 0.118441276
  179. recording summary
  180. progress epoch 1 step 1700 image/sec 0.3 remaining 642m
  181. discrim_loss 1.0587102
  182. gen_loss_GAN 1.2637444
  183. gen_loss_L1 0.12116552
  184. progress epoch 1 step 1750 image/sec 0.3 remaining 642m
  185. discrim_loss 1.0577658
  186. gen_loss_GAN 1.2738949
  187. gen_loss_L1 0.11934987
  188. recording summary
  189. progress epoch 1 step 1800 image/sec 0.3 remaining 640m
  190. discrim_loss 1.0074446
  191. gen_loss_GAN 1.2996346
  192. gen_loss_L1 0.119168214
  193. progress epoch 1 step 1850 image/sec 0.3 remaining 636m
  194. discrim_loss 1.0062499
  195. gen_loss_GAN 1.3684733
  196. gen_loss_L1 0.12022702
  197. recording summary
  198. progress epoch 1 step 1900 image/sec 0.3 remaining 632m
  199. discrim_loss 0.98377424
  200. gen_loss_GAN 1.3426747
  201. gen_loss_L1 0.12114843
  202. progress epoch 1 step 1950 image/sec 0.3 remaining 630m
  203. discrim_loss 0.93751216
  204. gen_loss_GAN 1.3736124
  205. gen_loss_L1 0.120065995
  206. recording summary
  207. progress epoch 1 step 2000 image/sec 0.3 remaining 628m
  208. discrim_loss 0.93121696
  209. gen_loss_GAN 1.4024677
  210. gen_loss_L1 0.12498106
  211. progress epoch 1 step 2050 image/sec 0.3 remaining 625m
  212. discrim_loss 1.0054142
  213. gen_loss_GAN 1.3359661
  214. gen_loss_L1 0.1239606
  215. recording summary
  216. progress epoch 1 step 2100 image/sec 0.3 remaining 623m
  217. discrim_loss 0.99715894
  218. gen_loss_GAN 1.3441807
  219. gen_loss_L1 0.12131016
  220. progress epoch 1 step 2150 image/sec 0.3 remaining 620m
  221. discrim_loss 0.9382047
  222. gen_loss_GAN 1.3868238
  223. gen_loss_L1 0.12186281
  224. recording summary
  225. progress epoch 1 step 2200 image/sec 0.3 remaining 617m
  226. discrim_loss 0.9144325
  227. gen_loss_GAN 1.4223064
  228. gen_loss_L1 0.124709874
  229. progress epoch 1 step 2250 image/sec 0.3 remaining 613m
  230. discrim_loss 0.9573278
  231. gen_loss_GAN 1.411994
  232. gen_loss_L1 0.12033531
  233. recording summary
  234. progress epoch 1 step 2300 image/sec 0.3 remaining 611m
  235. discrim_loss 1.0046244
  236. gen_loss_GAN 1.4061427
  237. gen_loss_L1 0.12015082
  238. progress epoch 1 step 2350 image/sec 0.3 remaining 607m
  239. discrim_loss 1.0797633
  240. gen_loss_GAN 1.3310685
  241. gen_loss_L1 0.115331575
  242. recording summary
  243. progress epoch 1 step 2400 image/sec 0.3 remaining 603m
  244. discrim_loss 0.9861677
  245. gen_loss_GAN 1.384508
  246. gen_loss_L1 0.11375874
  247. progress epoch 1 step 2450 image/sec 0.3 remaining 599m
  248. discrim_loss 0.9442755
  249. gen_loss_GAN 1.3910129
  250. gen_loss_L1 0.11451029
  251. recording summary
  252. progress epoch 1 step 2500 image/sec 0.3 remaining 595m
  253. discrim_loss 0.95131034
  254. gen_loss_GAN 1.4207437
  255. gen_loss_L1 0.1160729
  256. progress epoch 1 step 2550 image/sec 0.3 remaining 591m
  257. discrim_loss 0.981647
  258. gen_loss_GAN 1.4056526
  259. gen_loss_L1 0.11811327
  260. recording summary
  261. progress epoch 1 step 2600 image/sec 0.4 remaining 587m
  262. discrim_loss 0.9833851
  263. gen_loss_GAN 1.3913951
  264. gen_loss_L1 0.117830254
  265. progress epoch 1 step 2650 image/sec 0.4 remaining 583m
  266. discrim_loss 0.9731037
  267. gen_loss_GAN 1.4330161
  268. gen_loss_L1 0.11611517
  269. recording summary
  270. progress epoch 1 step 2700 image/sec 0.4 remaining 579m
  271. discrim_loss 1.0259104
  272. gen_loss_GAN 1.3806489
  273. gen_loss_L1 0.10973432
  274. progress epoch 1 step 2750 image/sec 0.4 remaining 575m
  275. discrim_loss 0.97066694
  276. gen_loss_GAN 1.4679701
  277. gen_loss_L1 0.11385688
  278. recording summary
  279. progress epoch 1 step 2800 image/sec 0.4 remaining 572m
  280. discrim_loss 0.9463172
  281. gen_loss_GAN 1.469374
  282. gen_loss_L1 0.117950305
  283. progress epoch 1 step 2850 image/sec 0.4 remaining 568m
  284. discrim_loss 0.99155146
  285. gen_loss_GAN 1.405672
  286. gen_loss_L1 0.11746198
  287. recording summary
  288. progress epoch 1 step 2900 image/sec 0.4 remaining 564m
  289. discrim_loss 0.9754807
  290. n-line h

网站声明:如果转载,请联系本站管理员。否则一切后果自行承担。

本文链接:https://www.xckfsq.com/news/show.html?id=3582
赞同 0
评论 0 条

加入交流群

请使用微信扫一扫!