API tools faq
paste
Guest User

pretrained

a guest
Jul 3rd, 2022
289
0
Never
Add comment
Not a member of Pastebin yet? Sign Up, it unlocks many cool features!
text 141.35 KB | None | 0 0
raw download clone embed print report
  1. Batch size: 8
  2. Epochs: 10
  3. Save to: models/maskrcnn-norm-pre-24x40
  4. MaskRCNN(
  5. (transform): GeneralizedRCNNTransform(
  6. Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225])
  7. Resize(min_size=(800,), max_size=1333, mode='bilinear')
  8. )
  9. (backbone): BackboneWithFPN(
  10. (body): IntermediateLayerGetter(
  11. (conv1): Conv2d(3, 64, kernel_size=(7, 7), stride=(2, 2), padding=(3, 3), bias=False)
  12. (bn1): FrozenBatchNorm2d(64, eps=1e-05)
  13. (relu): ReLU(inplace=True)
  14. (maxpool): MaxPool2d(kernel_size=3, stride=2, padding=1, dilation=1, ceil_mode=False)
  15. (layer1): Sequential(
  16. (0): Bottleneck(
  17. (conv1): Conv2d(64, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  18. (bn1): FrozenBatchNorm2d(64, eps=1e-05)
  19. (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  20. (bn2): FrozenBatchNorm2d(64, eps=1e-05)
  21. (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  22. (bn3): FrozenBatchNorm2d(256, eps=1e-05)
  23. (relu): ReLU(inplace=True)
  24. (downsample): Sequential(
  25. (0): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  26. (1): FrozenBatchNorm2d(256, eps=1e-05)
  27. )
  28. )
  29. (1): Bottleneck(
  30. (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  31. (bn1): FrozenBatchNorm2d(64, eps=1e-05)
  32. (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  33. (bn2): FrozenBatchNorm2d(64, eps=1e-05)
  34. (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  35. (bn3): FrozenBatchNorm2d(256, eps=1e-05)
  36. (relu): ReLU(inplace=True)
  37. )
  38. (2): Bottleneck(
  39. (conv1): Conv2d(256, 64, kernel_size=(1, 1), stride=(1, 1), bias=False)
  40. (bn1): FrozenBatchNorm2d(64, eps=1e-05)
  41. (conv2): Conv2d(64, 64, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  42. (bn2): FrozenBatchNorm2d(64, eps=1e-05)
  43. (conv3): Conv2d(64, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  44. (bn3): FrozenBatchNorm2d(256, eps=1e-05)
  45. (relu): ReLU(inplace=True)
  46. )
  47. )
  48. (layer2): Sequential(
  49. (0): Bottleneck(
  50. (conv1): Conv2d(256, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  51. (bn1): FrozenBatchNorm2d(128, eps=1e-05)
  52. (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
  53. (bn2): FrozenBatchNorm2d(128, eps=1e-05)
  54. (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  55. (bn3): FrozenBatchNorm2d(512, eps=1e-05)
  56. (relu): ReLU(inplace=True)
  57. (downsample): Sequential(
  58. (0): Conv2d(256, 512, kernel_size=(1, 1), stride=(2, 2), bias=False)
  59. (1): FrozenBatchNorm2d(512, eps=1e-05)
  60. )
  61. )
  62. (1): Bottleneck(
  63. (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  64. (bn1): FrozenBatchNorm2d(128, eps=1e-05)
  65. (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  66. (bn2): FrozenBatchNorm2d(128, eps=1e-05)
  67. (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  68. (bn3): FrozenBatchNorm2d(512, eps=1e-05)
  69. (relu): ReLU(inplace=True)
  70. )
  71. (2): Bottleneck(
  72. (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  73. (bn1): FrozenBatchNorm2d(128, eps=1e-05)
  74. (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  75. (bn2): FrozenBatchNorm2d(128, eps=1e-05)
  76. (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  77. (bn3): FrozenBatchNorm2d(512, eps=1e-05)
  78. (relu): ReLU(inplace=True)
  79. )
  80. (3): Bottleneck(
  81. (conv1): Conv2d(512, 128, kernel_size=(1, 1), stride=(1, 1), bias=False)
  82. (bn1): FrozenBatchNorm2d(128, eps=1e-05)
  83. (conv2): Conv2d(128, 128, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  84. (bn2): FrozenBatchNorm2d(128, eps=1e-05)
  85. (conv3): Conv2d(128, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  86. (bn3): FrozenBatchNorm2d(512, eps=1e-05)
  87. (relu): ReLU(inplace=True)
  88. )
  89. )
  90. (layer3): Sequential(
  91. (0): Bottleneck(
  92. (conv1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  93. (bn1): FrozenBatchNorm2d(256, eps=1e-05)
  94. (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
  95. (bn2): FrozenBatchNorm2d(256, eps=1e-05)
  96. (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
  97. (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
  98. (relu): ReLU(inplace=True)
  99. (downsample): Sequential(
  100. (0): Conv2d(512, 1024, kernel_size=(1, 1), stride=(2, 2), bias=False)
  101. (1): FrozenBatchNorm2d(1024, eps=1e-05)
  102. )
  103. )
  104. (1): Bottleneck(
  105. (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  106. (bn1): FrozenBatchNorm2d(256, eps=1e-05)
  107. (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  108. (bn2): FrozenBatchNorm2d(256, eps=1e-05)
  109. (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
  110. (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
  111. (relu): ReLU(inplace=True)
  112. )
  113. (2): Bottleneck(
  114. (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  115. (bn1): FrozenBatchNorm2d(256, eps=1e-05)
  116. (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  117. (bn2): FrozenBatchNorm2d(256, eps=1e-05)
  118. (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
  119. (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
  120. (relu): ReLU(inplace=True)
  121. )
  122. (3): Bottleneck(
  123. (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  124. (bn1): FrozenBatchNorm2d(256, eps=1e-05)
  125. (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  126. (bn2): FrozenBatchNorm2d(256, eps=1e-05)
  127. (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
  128. (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
  129. (relu): ReLU(inplace=True)
  130. )
  131. (4): Bottleneck(
  132. (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  133. (bn1): FrozenBatchNorm2d(256, eps=1e-05)
  134. (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  135. (bn2): FrozenBatchNorm2d(256, eps=1e-05)
  136. (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
  137. (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
  138. (relu): ReLU(inplace=True)
  139. )
  140. (5): Bottleneck(
  141. (conv1): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1), bias=False)
  142. (bn1): FrozenBatchNorm2d(256, eps=1e-05)
  143. (conv2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  144. (bn2): FrozenBatchNorm2d(256, eps=1e-05)
  145. (conv3): Conv2d(256, 1024, kernel_size=(1, 1), stride=(1, 1), bias=False)
  146. (bn3): FrozenBatchNorm2d(1024, eps=1e-05)
  147. (relu): ReLU(inplace=True)
  148. )
  149. )
  150. (layer4): Sequential(
  151. (0): Bottleneck(
  152. (conv1): Conv2d(1024, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  153. (bn1): FrozenBatchNorm2d(512, eps=1e-05)
  154. (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(2, 2), padding=(1, 1), bias=False)
  155. (bn2): FrozenBatchNorm2d(512, eps=1e-05)
  156. (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
  157. (bn3): FrozenBatchNorm2d(2048, eps=1e-05)
  158. (relu): ReLU(inplace=True)
  159. (downsample): Sequential(
  160. (0): Conv2d(1024, 2048, kernel_size=(1, 1), stride=(2, 2), bias=False)
  161. (1): FrozenBatchNorm2d(2048, eps=1e-05)
  162. )
  163. )
  164. (1): Bottleneck(
  165. (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  166. (bn1): FrozenBatchNorm2d(512, eps=1e-05)
  167. (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  168. (bn2): FrozenBatchNorm2d(512, eps=1e-05)
  169. (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
  170. (bn3): FrozenBatchNorm2d(2048, eps=1e-05)
  171. (relu): ReLU(inplace=True)
  172. )
  173. (2): Bottleneck(
  174. (conv1): Conv2d(2048, 512, kernel_size=(1, 1), stride=(1, 1), bias=False)
  175. (bn1): FrozenBatchNorm2d(512, eps=1e-05)
  176. (conv2): Conv2d(512, 512, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1), bias=False)
  177. (bn2): FrozenBatchNorm2d(512, eps=1e-05)
  178. (conv3): Conv2d(512, 2048, kernel_size=(1, 1), stride=(1, 1), bias=False)
  179. (bn3): FrozenBatchNorm2d(2048, eps=1e-05)
  180. (relu): ReLU(inplace=True)
  181. )
  182. )
  183. )
  184. (fpn): FeaturePyramidNetwork(
  185. (inner_blocks): ModuleList(
  186. (0): Conv2d(256, 256, kernel_size=(1, 1), stride=(1, 1))
  187. (1): Conv2d(512, 256, kernel_size=(1, 1), stride=(1, 1))
  188. (2): Conv2d(1024, 256, kernel_size=(1, 1), stride=(1, 1))
  189. (3): Conv2d(2048, 256, kernel_size=(1, 1), stride=(1, 1))
  190. )
  191. (layer_blocks): ModuleList(
  192. (0): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  193. (1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  194. (2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  195. (3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  196. )
  197. (extra_blocks): LastLevelMaxPool()
  198. )
  199. )
  200. (rpn): RegionProposalNetwork(
  201. (anchor_generator): AnchorGenerator()
  202. (head): RPNHead(
  203. (conv): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  204. (cls_logits): Conv2d(256, 3, kernel_size=(1, 1), stride=(1, 1))
  205. (bbox_pred): Conv2d(256, 12, kernel_size=(1, 1), stride=(1, 1))
  206. )
  207. )
  208. (roi_heads): RoIHeads(
  209. (box_roi_pool): MultiScaleRoIAlign(featmap_names=['0', '1', '2', '3'], output_size=(7, 7), sampling_ratio=2)
  210. (box_head): TwoMLPHead(
  211. (fc6): Linear(in_features=12544, out_features=1024, bias=True)
  212. (fc7): Linear(in_features=1024, out_features=1024, bias=True)
  213. )
  214. (box_predictor): FastRCNNPredictor(
  215. (cls_score): Linear(in_features=1024, out_features=91, bias=True)
  216. (bbox_pred): Linear(in_features=1024, out_features=364, bias=True)
  217. )
  218. (mask_roi_pool): MultiScaleRoIAlign(featmap_names=['0', '1', '2', '3'], output_size=(14, 14), sampling_ratio=2)
  219. (mask_head): MaskRCNNHeads(
  220. (mask_fcn1): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  221. (relu1): ReLU(inplace=True)
  222. (mask_fcn2): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  223. (relu2): ReLU(inplace=True)
  224. (mask_fcn3): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  225. (relu3): ReLU(inplace=True)
  226. (mask_fcn4): Conv2d(256, 256, kernel_size=(3, 3), stride=(1, 1), padding=(1, 1))
  227. (relu4): ReLU(inplace=True)
  228. )
  229. (mask_predictor): MaskRCNNPredictor(
  230. (conv5_mask): ConvTranspose2d(256, 256, kernel_size=(2, 2), stride=(2, 2))
  231. (relu): ReLU(inplace=True)
  232. (mask_fcn_logits): Conv2d(256, 91, kernel_size=(1, 1), stride=(1, 1))
  233. )
  234. )
  235. )
  236. Epoch: [0] [ 0/2250] eta: 4:02:42 lr: 0.000010 loss: 3.6948 (3.6948) loss_classifier: 1.0339 (1.0339) loss_box_reg: 0.0427 (0.0427) loss_mask: 1.6964 (1.6964) loss_objectness: 0.6665 (0.6665) loss_rpn_box_reg: 0.2553 (0.2553) time: 6.4720 data: 2.3986 max mem: 8236
  237. Epoch: [0] [ 10/2250] eta: 0:53:03 lr: 0.000060 loss: 2.8054 (2.8462) loss_classifier: 0.9162 (0.8575) loss_box_reg: 0.0464 (0.0463) loss_mask: 1.2559 (1.3667) loss_objectness: 0.3156 (0.3288) loss_rpn_box_reg: 0.2487 (0.2469) time: 1.4213 data: 0.2223 max mem: 8505
  238. Epoch: [0] [ 20/2250] eta: 0:42:42 lr: 0.000110 loss: 1.7113 (2.0399) loss_classifier: 0.4461 (0.5559) loss_box_reg: 0.0472 (0.0511) loss_mask: 0.9210 (1.0273) loss_objectness: 0.0417 (0.1819) loss_rpn_box_reg: 0.2220 (0.2237) time: 0.8830 data: 0.0030 max mem: 8505
  239. Epoch: [0] [ 30/2250] eta: 0:39:17 lr: 0.000160 loss: 0.8471 (1.6081) loss_classifier: 0.0956 (0.4033) loss_box_reg: 0.0681 (0.0583) loss_mask: 0.4683 (0.8269) loss_objectness: 0.0133 (0.1267) loss_rpn_box_reg: 0.1628 (0.1928) time: 0.8645 data: 0.0020 max mem: 8505
  240. Epoch: [0] [ 40/2250] eta: 0:37:19 lr: 0.000210 loss: 0.5271 (1.3268) loss_classifier: 0.0836 (0.3259) loss_box_reg: 0.0724 (0.0618) loss_mask: 0.2728 (0.6684) loss_objectness: 0.0120 (0.0997) loss_rpn_box_reg: 0.1094 (0.1710) time: 0.8708 data: 0.0017 max mem: 8505
  241. Epoch: [0] [ 50/2250] eta: 0:36:07 lr: 0.000260 loss: 0.3775 (1.1278) loss_classifier: 0.0848 (0.2787) loss_box_reg: 0.0716 (0.0637) loss_mask: 0.0875 (0.5474) loss_objectness: 0.0116 (0.0825) loss_rpn_box_reg: 0.0929 (0.1556) time: 0.8658 data: 0.0026 max mem: 8505
  242. Epoch: [0] [ 60/2250] eta: 0:35:16 lr: 0.000310 loss: 0.2849 (0.9858) loss_classifier: 0.0819 (0.2456) loss_box_reg: 0.0706 (0.0648) loss_mask: 0.0214 (0.4599) loss_objectness: 0.0124 (0.0711) loss_rpn_box_reg: 0.0875 (0.1444) time: 0.8707 data: 0.0031 max mem: 8505
  243. Epoch: [0] [ 70/2250] eta: 0:34:31 lr: 0.000360 loss: 0.2437 (0.8796) loss_classifier: 0.0700 (0.2200) loss_box_reg: 0.0656 (0.0648) loss_mask: 0.0080 (0.3960) loss_objectness: 0.0130 (0.0630) loss_rpn_box_reg: 0.0851 (0.1358) time: 0.8620 data: 0.0020 max mem: 8505
  244. Epoch: [0] [ 80/2250] eta: 0:34:02 lr: 0.000410 loss: 0.2229 (0.7982) loss_classifier: 0.0598 (0.1999) loss_box_reg: 0.0634 (0.0646) loss_mask: 0.0047 (0.3476) loss_objectness: 0.0128 (0.0569) loss_rpn_box_reg: 0.0830 (0.1292) time: 0.8636 data: 0.0028 max mem: 8505
  245. Epoch: [0] [ 90/2250] eta: 0:33:39 lr: 0.000460 loss: 0.2177 (0.7340) loss_classifier: 0.0557 (0.1840) loss_box_reg: 0.0631 (0.0647) loss_mask: 0.0037 (0.3098) loss_objectness: 0.0112 (0.0517) loss_rpn_box_reg: 0.0808 (0.1237) time: 0.8792 data: 0.0019 max mem: 8505
  246. Epoch: [0] [ 100/2250] eta: 0:33:18 lr: 0.000509 loss: 0.2070 (0.6813) loss_classifier: 0.0530 (0.1709) loss_box_reg: 0.0630 (0.0644) loss_mask: 0.0031 (0.2794) loss_objectness: 0.0087 (0.0474) loss_rpn_box_reg: 0.0784 (0.1192) time: 0.8829 data: 0.0006 max mem: 8505
  247. Epoch: [0] [ 110/2250] eta: 0:33:00 lr: 0.000559 loss: 0.2037 (0.6387) loss_classifier: 0.0519 (0.1603) loss_box_reg: 0.0630 (0.0644) loss_mask: 0.0023 (0.2544) loss_objectness: 0.0093 (0.0441) loss_rpn_box_reg: 0.0780 (0.1154) time: 0.8828 data: 0.0010 max mem: 8505
  248. Epoch: [0] [ 120/2250] eta: 0:32:38 lr: 0.000609 loss: 0.2014 (0.6023) loss_classifier: 0.0505 (0.1511) loss_box_reg: 0.0632 (0.0642) loss_mask: 0.0020 (0.2336) loss_objectness: 0.0093 (0.0412) loss_rpn_box_reg: 0.0772 (0.1122) time: 0.8681 data: 0.0019 max mem: 8505
  249. Epoch: [0] [ 130/2250] eta: 0:32:18 lr: 0.000659 loss: 0.1974 (0.5714) loss_classifier: 0.0492 (0.1433) loss_box_reg: 0.0618 (0.0641) loss_mask: 0.0017 (0.2159) loss_objectness: 0.0082 (0.0386) loss_rpn_box_reg: 0.0762 (0.1095) time: 0.8535 data: 0.0020 max mem: 8505
  250. Epoch: [0] [ 140/2250] eta: 0:32:00 lr: 0.000709 loss: 0.1965 (0.5449) loss_classifier: 0.0486 (0.1366) loss_box_reg: 0.0627 (0.0641) loss_mask: 0.0014 (0.2006) loss_objectness: 0.0066 (0.0364) loss_rpn_box_reg: 0.0761 (0.1071) time: 0.8539 data: 0.0016 max mem: 8505
  251. Epoch: [0] [ 150/2250] eta: 0:31:43 lr: 0.000759 loss: 0.1918 (0.5214) loss_classifier: 0.0478 (0.1307) loss_box_reg: 0.0627 (0.0640) loss_mask: 0.0012 (0.1874) loss_objectness: 0.0056 (0.0344) loss_rpn_box_reg: 0.0747 (0.1049) time: 0.8546 data: 0.0016 max mem: 8505
  252. Epoch: [0] [ 160/2250] eta: 0:31:28 lr: 0.000809 loss: 0.1833 (0.5001) loss_classifier: 0.0440 (0.1251) loss_box_reg: 0.0595 (0.0634) loss_mask: 0.0012 (0.1759) loss_objectness: 0.0065 (0.0327) loss_rpn_box_reg: 0.0732 (0.1030) time: 0.8563 data: 0.0022 max mem: 8505
  253. Epoch: [0] [ 170/2250] eta: 0:31:15 lr: 0.000859 loss: 0.1771 (0.4812) loss_classifier: 0.0407 (0.1201) loss_box_reg: 0.0552 (0.0630) loss_mask: 0.0010 (0.1656) loss_objectness: 0.0059 (0.0312) loss_rpn_box_reg: 0.0730 (0.1012) time: 0.8667 data: 0.0022 max mem: 8505
  254. Epoch: [0] [ 180/2250] eta: 0:31:02 lr: 0.000909 loss: 0.1704 (0.4639) loss_classifier: 0.0378 (0.1155) loss_box_reg: 0.0552 (0.0626) loss_mask: 0.0010 (0.1565) loss_objectness: 0.0058 (0.0298) loss_rpn_box_reg: 0.0711 (0.0994) time: 0.8701 data: 0.0031 max mem: 8505
  255. Epoch: [0] [ 190/2250] eta: 0:30:50 lr: 0.000959 loss: 0.1655 (0.4483) loss_classifier: 0.0371 (0.1115) loss_box_reg: 0.0557 (0.0623) loss_mask: 0.0010 (0.1484) loss_objectness: 0.0062 (0.0286) loss_rpn_box_reg: 0.0664 (0.0975) time: 0.8700 data: 0.0037 max mem: 8505
  256. Epoch: [0] [ 200/2250] eta: 0:30:37 lr: 0.001009 loss: 0.1632 (0.4341) loss_classifier: 0.0388 (0.1079) loss_box_reg: 0.0572 (0.0621) loss_mask: 0.0009 (0.1411) loss_objectness: 0.0059 (0.0274) loss_rpn_box_reg: 0.0617 (0.0956) time: 0.8672 data: 0.0024 max mem: 8505
  257. Epoch: [0] [ 210/2250] eta: 0:30:25 lr: 0.001059 loss: 0.1553 (0.4206) loss_classifier: 0.0390 (0.1046) loss_box_reg: 0.0545 (0.0617) loss_mask: 0.0007 (0.1344) loss_objectness: 0.0049 (0.0264) loss_rpn_box_reg: 0.0540 (0.0935) time: 0.8623 data: 0.0014 max mem: 8505
  258. Epoch: [0] [ 220/2250] eta: 0:30:13 lr: 0.001109 loss: 0.1375 (0.4075) loss_classifier: 0.0374 (0.1016) loss_box_reg: 0.0464 (0.0608) loss_mask: 0.0006 (0.1283) loss_objectness: 0.0047 (0.0254) loss_rpn_box_reg: 0.0485 (0.0915) time: 0.8633 data: 0.0005 max mem: 8505
  259. Epoch: [0] [ 230/2250] eta: 0:30:01 lr: 0.001159 loss: 0.1256 (0.3949) loss_classifier: 0.0353 (0.0986) loss_box_reg: 0.0381 (0.0597) loss_mask: 0.0005 (0.1228) loss_objectness: 0.0042 (0.0244) loss_rpn_box_reg: 0.0463 (0.0894) time: 0.8598 data: 0.0004 max mem: 8505
  260. Epoch: [0] [ 240/2250] eta: 0:29:50 lr: 0.001209 loss: 0.1144 (0.3833) loss_classifier: 0.0328 (0.0959) loss_box_reg: 0.0326 (0.0585) loss_mask: 0.0004 (0.1177) loss_objectness: 0.0042 (0.0236) loss_rpn_box_reg: 0.0451 (0.0876) time: 0.8599 data: 0.0015 max mem: 8505
  261. Epoch: [0] [ 250/2250] eta: 0:29:39 lr: 0.001259 loss: 0.1091 (0.3723) loss_classifier: 0.0312 (0.0933) loss_box_reg: 0.0276 (0.0572) loss_mask: 0.0003 (0.1131) loss_objectness: 0.0041 (0.0228) loss_rpn_box_reg: 0.0438 (0.0859) time: 0.8602 data: 0.0031 max mem: 8505
  262. Epoch: [0] [ 260/2250] eta: 0:29:27 lr: 0.001309 loss: 0.1026 (0.3618) loss_classifier: 0.0304 (0.0909) loss_box_reg: 0.0251 (0.0559) loss_mask: 0.0003 (0.1088) loss_objectness: 0.0042 (0.0221) loss_rpn_box_reg: 0.0410 (0.0841) time: 0.8605 data: 0.0028 max mem: 8505
  263. Epoch: [0] [ 270/2250] eta: 0:29:16 lr: 0.001359 loss: 0.0972 (0.3520) loss_classifier: 0.0295 (0.0886) loss_box_reg: 0.0229 (0.0547) loss_mask: 0.0003 (0.1048) loss_objectness: 0.0038 (0.0215) loss_rpn_box_reg: 0.0390 (0.0825) time: 0.8605 data: 0.0014 max mem: 8505
  264. Epoch: [0] [ 280/2250] eta: 0:29:06 lr: 0.001409 loss: 0.0936 (0.3428) loss_classifier: 0.0288 (0.0865) loss_box_reg: 0.0219 (0.0535) loss_mask: 0.0003 (0.1010) loss_objectness: 0.0033 (0.0208) loss_rpn_box_reg: 0.0390 (0.0809) time: 0.8602 data: 0.0045 max mem: 8505
  265. Epoch: [0] [ 290/2250] eta: 0:28:55 lr: 0.001459 loss: 0.0892 (0.3341) loss_classifier: 0.0280 (0.0845) loss_box_reg: 0.0205 (0.0523) loss_mask: 0.0002 (0.0976) loss_objectness: 0.0037 (0.0202) loss_rpn_box_reg: 0.0377 (0.0795) time: 0.8594 data: 0.0055 max mem: 8505
  266. Epoch: [0] [ 300/2250] eta: 0:28:44 lr: 0.001508 loss: 0.0923 (0.3261) loss_classifier: 0.0281 (0.0826) loss_box_reg: 0.0206 (0.0513) loss_mask: 0.0002 (0.0943) loss_objectness: 0.0037 (0.0197) loss_rpn_box_reg: 0.0377 (0.0782) time: 0.8595 data: 0.0023 max mem: 8505
  267. Epoch: [0] [ 310/2250] eta: 0:28:34 lr: 0.001558 loss: 0.0924 (0.3185) loss_classifier: 0.0274 (0.0809) loss_box_reg: 0.0207 (0.0503) loss_mask: 0.0002 (0.0913) loss_objectness: 0.0036 (0.0192) loss_rpn_box_reg: 0.0372 (0.0768) time: 0.8606 data: 0.0020 max mem: 8505
  268. Epoch: [0] [ 320/2250] eta: 0:28:26 lr: 0.001608 loss: 0.0861 (0.3112) loss_classifier: 0.0272 (0.0792) loss_box_reg: 0.0181 (0.0493) loss_mask: 0.0002 (0.0885) loss_objectness: 0.0030 (0.0187) loss_rpn_box_reg: 0.0372 (0.0756) time: 0.8773 data: 0.0017 max mem: 8505
  269. Epoch: [0] [ 330/2250] eta: 0:28:16 lr: 0.001658 loss: 0.0789 (0.3041) loss_classifier: 0.0250 (0.0775) loss_box_reg: 0.0176 (0.0483) loss_mask: 0.0002 (0.0858) loss_objectness: 0.0030 (0.0182) loss_rpn_box_reg: 0.0338 (0.0743) time: 0.8806 data: 0.0016 max mem: 8505
  270. Epoch: [0] [ 340/2250] eta: 0:28:06 lr: 0.001708 loss: 0.0750 (0.2973) loss_classifier: 0.0246 (0.0759) loss_box_reg: 0.0151 (0.0473) loss_mask: 0.0002 (0.0833) loss_objectness: 0.0023 (0.0177) loss_rpn_box_reg: 0.0304 (0.0730) time: 0.8632 data: 0.0020 max mem: 8505
  271. Epoch: [0] [ 350/2250] eta: 0:27:56 lr: 0.001758 loss: 0.0701 (0.2908) loss_classifier: 0.0241 (0.0745) loss_box_reg: 0.0145 (0.0464) loss_mask: 0.0001 (0.0809) loss_objectness: 0.0025 (0.0173) loss_rpn_box_reg: 0.0280 (0.0717) time: 0.8608 data: 0.0035 max mem: 8505
  272. Epoch: [0] [ 360/2250] eta: 0:27:46 lr: 0.001808 loss: 0.0694 (0.2847) loss_classifier: 0.0239 (0.0731) loss_box_reg: 0.0142 (0.0455) loss_mask: 0.0001 (0.0787) loss_objectness: 0.0030 (0.0170) loss_rpn_box_reg: 0.0271 (0.0705) time: 0.8602 data: 0.0035 max mem: 8505
  273. Epoch: [0] [ 370/2250] eta: 0:27:36 lr: 0.001858 loss: 0.0639 (0.2786) loss_classifier: 0.0232 (0.0717) loss_box_reg: 0.0134 (0.0446) loss_mask: 0.0001 (0.0766) loss_objectness: 0.0030 (0.0166) loss_rpn_box_reg: 0.0218 (0.0691) time: 0.8609 data: 0.0025 max mem: 8505
  274. Epoch: [0] [ 380/2250] eta: 0:27:26 lr: 0.001908 loss: 0.0593 (0.2729) loss_classifier: 0.0229 (0.0704) loss_box_reg: 0.0122 (0.0437) loss_mask: 0.0001 (0.0746) loss_objectness: 0.0035 (0.0162) loss_rpn_box_reg: 0.0191 (0.0678) time: 0.8633 data: 0.0033 max mem: 8505
  275. Epoch: [0] [ 390/2250] eta: 0:27:17 lr: 0.001958 loss: 0.0574 (0.2673) loss_classifier: 0.0227 (0.0692) loss_box_reg: 0.0113 (0.0429) loss_mask: 0.0001 (0.0727) loss_objectness: 0.0033 (0.0159) loss_rpn_box_reg: 0.0189 (0.0666) time: 0.8620 data: 0.0030 max mem: 8505
  276. Epoch: [0] [ 400/2250] eta: 0:27:07 lr: 0.002008 loss: 0.0525 (0.2619) loss_classifier: 0.0218 (0.0680) loss_box_reg: 0.0102 (0.0421) loss_mask: 0.0001 (0.0709) loss_objectness: 0.0025 (0.0156) loss_rpn_box_reg: 0.0182 (0.0654) time: 0.8614 data: 0.0025 max mem: 8505
  277. Epoch: [0] [ 410/2250] eta: 0:26:57 lr: 0.002058 loss: 0.0486 (0.2567) loss_classifier: 0.0211 (0.0669) loss_box_reg: 0.0096 (0.0413) loss_mask: 0.0001 (0.0692) loss_objectness: 0.0025 (0.0153) loss_rpn_box_reg: 0.0165 (0.0642) time: 0.8611 data: 0.0037 max mem: 8505
  278. Epoch: [0] [ 420/2250] eta: 0:26:48 lr: 0.002108 loss: 0.0489 (0.2519) loss_classifier: 0.0213 (0.0658) loss_box_reg: 0.0091 (0.0405) loss_mask: 0.0001 (0.0675) loss_objectness: 0.0026 (0.0150) loss_rpn_box_reg: 0.0151 (0.0630) time: 0.8614 data: 0.0030 max mem: 8505
  279. Epoch: [0] [ 430/2250] eta: 0:26:39 lr: 0.002158 loss: 0.0452 (0.2470) loss_classifier: 0.0211 (0.0648) loss_box_reg: 0.0085 (0.0398) loss_mask: 0.0001 (0.0660) loss_objectness: 0.0026 (0.0147) loss_rpn_box_reg: 0.0132 (0.0618) time: 0.8662 data: 0.0012 max mem: 8505
  280. Epoch: [0] [ 440/2250] eta: 0:26:30 lr: 0.002208 loss: 0.0446 (0.2425) loss_classifier: 0.0207 (0.0638) loss_box_reg: 0.0085 (0.0391) loss_mask: 0.0001 (0.0645) loss_objectness: 0.0024 (0.0144) loss_rpn_box_reg: 0.0121 (0.0607) time: 0.8780 data: 0.0035 max mem: 8505
  281. Epoch: [0] [ 450/2250] eta: 0:26:21 lr: 0.002258 loss: 0.0447 (0.2380) loss_classifier: 0.0203 (0.0628) loss_box_reg: 0.0088 (0.0384) loss_mask: 0.0001 (0.0630) loss_objectness: 0.0026 (0.0142) loss_rpn_box_reg: 0.0108 (0.0596) time: 0.8738 data: 0.0030 max mem: 8505
  282. Epoch: [0] [ 460/2250] eta: 0:26:11 lr: 0.002308 loss: 0.0406 (0.2338) loss_classifier: 0.0200 (0.0619) loss_box_reg: 0.0080 (0.0377) loss_mask: 0.0001 (0.0617) loss_objectness: 0.0026 (0.0139) loss_rpn_box_reg: 0.0099 (0.0585) time: 0.8570 data: 0.0011 max mem: 8505
  283. Epoch: [0] [ 470/2250] eta: 0:26:01 lr: 0.002358 loss: 0.0396 (0.2296) loss_classifier: 0.0194 (0.0610) loss_box_reg: 0.0073 (0.0371) loss_mask: 0.0001 (0.0604) loss_objectness: 0.0022 (0.0137) loss_rpn_box_reg: 0.0104 (0.0575) time: 0.8511 data: 0.0023 max mem: 8505
  284. Epoch: [0] [ 480/2250] eta: 0:25:51 lr: 0.002408 loss: 0.0390 (0.2257) loss_classifier: 0.0191 (0.0602) loss_box_reg: 0.0069 (0.0365) loss_mask: 0.0001 (0.0591) loss_objectness: 0.0029 (0.0135) loss_rpn_box_reg: 0.0090 (0.0565) time: 0.8526 data: 0.0034 max mem: 8505
  285. Epoch: [0] [ 490/2250] eta: 0:25:42 lr: 0.002458 loss: 0.0379 (0.2219) loss_classifier: 0.0190 (0.0593) loss_box_reg: 0.0065 (0.0358) loss_mask: 0.0001 (0.0579) loss_objectness: 0.0032 (0.0133) loss_rpn_box_reg: 0.0090 (0.0556) time: 0.8550 data: 0.0034 max mem: 8505
  286. Epoch: [0] [ 500/2250] eta: 0:25:32 lr: 0.002507 loss: 0.0376 (0.2182) loss_classifier: 0.0190 (0.0585) loss_box_reg: 0.0062 (0.0353) loss_mask: 0.0001 (0.0568) loss_objectness: 0.0022 (0.0131) loss_rpn_box_reg: 0.0089 (0.0546) time: 0.8534 data: 0.0023 max mem: 8505
  287. Epoch: [0] [ 510/2250] eta: 0:25:23 lr: 0.002557 loss: 0.0372 (0.2147) loss_classifier: 0.0198 (0.0578) loss_box_reg: 0.0070 (0.0347) loss_mask: 0.0001 (0.0556) loss_objectness: 0.0014 (0.0128) loss_rpn_box_reg: 0.0088 (0.0538) time: 0.8515 data: 0.0016 max mem: 8505
  288. Epoch: [0] [ 520/2250] eta: 0:25:13 lr: 0.002607 loss: 0.0382 (0.2113) loss_classifier: 0.0195 (0.0570) loss_box_reg: 0.0061 (0.0342) loss_mask: 0.0001 (0.0546) loss_objectness: 0.0021 (0.0127) loss_rpn_box_reg: 0.0088 (0.0529) time: 0.8531 data: 0.0026 max mem: 8505
  289. Epoch: [0] [ 530/2250] eta: 0:25:04 lr: 0.002657 loss: 0.0358 (0.2080) loss_classifier: 0.0194 (0.0563) loss_box_reg: 0.0053 (0.0336) loss_mask: 0.0001 (0.0536) loss_objectness: 0.0021 (0.0125) loss_rpn_box_reg: 0.0084 (0.0521) time: 0.8533 data: 0.0026 max mem: 8505
  290. Epoch: [0] [ 540/2250] eta: 0:24:54 lr: 0.002707 loss: 0.0340 (0.2048) loss_classifier: 0.0185 (0.0556) loss_box_reg: 0.0052 (0.0331) loss_mask: 0.0001 (0.0526) loss_objectness: 0.0021 (0.0123) loss_rpn_box_reg: 0.0071 (0.0512) time: 0.8533 data: 0.0023 max mem: 8505
  291. Epoch: [0] [ 550/2250] eta: 0:24:45 lr: 0.002757 loss: 0.0336 (0.2017) loss_classifier: 0.0189 (0.0550) loss_box_reg: 0.0052 (0.0326) loss_mask: 0.0001 (0.0516) loss_objectness: 0.0022 (0.0121) loss_rpn_box_reg: 0.0058 (0.0504) time: 0.8540 data: 0.0016 max mem: 8505
  292. Epoch: [0] [ 560/2250] eta: 0:24:36 lr: 0.002807 loss: 0.0336 (0.1987) loss_classifier: 0.0189 (0.0543) loss_box_reg: 0.0049 (0.0321) loss_mask: 0.0001 (0.0507) loss_objectness: 0.0022 (0.0119) loss_rpn_box_reg: 0.0062 (0.0496) time: 0.8532 data: 0.0008 max mem: 8505
  293. Epoch: [0] [ 570/2250] eta: 0:24:26 lr: 0.002857 loss: 0.0311 (0.1957) loss_classifier: 0.0188 (0.0537) loss_box_reg: 0.0043 (0.0316) loss_mask: 0.0001 (0.0498) loss_objectness: 0.0018 (0.0118) loss_rpn_box_reg: 0.0059 (0.0488) time: 0.8534 data: 0.0012 max mem: 8505
  294. Epoch: [0] [ 580/2250] eta: 0:24:17 lr: 0.002907 loss: 0.0310 (0.1929) loss_classifier: 0.0186 (0.0531) loss_box_reg: 0.0043 (0.0311) loss_mask: 0.0001 (0.0490) loss_objectness: 0.0018 (0.0116) loss_rpn_box_reg: 0.0056 (0.0481) time: 0.8534 data: 0.0020 max mem: 8505
  295. Epoch: [0] [ 590/2250] eta: 0:24:08 lr: 0.002957 loss: 0.0320 (0.1902) loss_classifier: 0.0187 (0.0525) loss_box_reg: 0.0048 (0.0307) loss_mask: 0.0001 (0.0481) loss_objectness: 0.0025 (0.0114) loss_rpn_box_reg: 0.0063 (0.0474) time: 0.8538 data: 0.0016 max mem: 8505
  296. Epoch: [0] [ 600/2250] eta: 0:23:59 lr: 0.003007 loss: 0.0343 (0.1876) loss_classifier: 0.0193 (0.0520) loss_box_reg: 0.0055 (0.0303) loss_mask: 0.0001 (0.0473) loss_objectness: 0.0028 (0.0113) loss_rpn_box_reg: 0.0064 (0.0467) time: 0.8533 data: 0.0023 max mem: 8505
  297. Epoch: [0] [ 610/2250] eta: 0:23:49 lr: 0.003057 loss: 0.0326 (0.1852) loss_classifier: 0.0195 (0.0515) loss_box_reg: 0.0058 (0.0299) loss_mask: 0.0001 (0.0466) loss_objectness: 0.0022 (0.0111) loss_rpn_box_reg: 0.0048 (0.0460) time: 0.8528 data: 0.0047 max mem: 8505
  298. Epoch: [0] [ 620/2250] eta: 0:23:40 lr: 0.003107 loss: 0.0303 (0.1827) loss_classifier: 0.0190 (0.0509) loss_box_reg: 0.0044 (0.0295) loss_mask: 0.0001 (0.0459) loss_objectness: 0.0014 (0.0110) loss_rpn_box_reg: 0.0039 (0.0454) time: 0.8533 data: 0.0023 max mem: 8505
  299. Epoch: [0] [ 630/2250] eta: 0:23:31 lr: 0.003157 loss: 0.0292 (0.1802) loss_classifier: 0.0192 (0.0505) loss_box_reg: 0.0037 (0.0291) loss_mask: 0.0001 (0.0452) loss_objectness: 0.0016 (0.0108) loss_rpn_box_reg: 0.0037 (0.0447) time: 0.8533 data: 0.0005 max mem: 8505
  300. Epoch: [0] [ 640/2250] eta: 0:23:22 lr: 0.003207 loss: 0.0292 (0.1779) loss_classifier: 0.0192 (0.0500) loss_box_reg: 0.0035 (0.0287) loss_mask: 0.0001 (0.0445) loss_objectness: 0.0013 (0.0107) loss_rpn_box_reg: 0.0039 (0.0441) time: 0.8533 data: 0.0028 max mem: 8505
  301. Epoch: [0] [ 650/2250] eta: 0:23:13 lr: 0.003257 loss: 0.0278 (0.1756) loss_classifier: 0.0176 (0.0495) loss_box_reg: 0.0033 (0.0283) loss_mask: 0.0001 (0.0438) loss_objectness: 0.0012 (0.0106) loss_rpn_box_reg: 0.0039 (0.0435) time: 0.8533 data: 0.0039 max mem: 8505
  302. Epoch: [0] [ 660/2250] eta: 0:23:04 lr: 0.003307 loss: 0.0287 (0.1734) loss_classifier: 0.0176 (0.0490) loss_box_reg: 0.0034 (0.0279) loss_mask: 0.0001 (0.0431) loss_objectness: 0.0019 (0.0104) loss_rpn_box_reg: 0.0041 (0.0429) time: 0.8541 data: 0.0037 max mem: 8505
  303. Epoch: [0] [ 670/2250] eta: 0:22:54 lr: 0.003357 loss: 0.0295 (0.1712) loss_classifier: 0.0183 (0.0486) loss_box_reg: 0.0034 (0.0275) loss_mask: 0.0001 (0.0425) loss_objectness: 0.0015 (0.0103) loss_rpn_box_reg: 0.0036 (0.0423) time: 0.8541 data: 0.0037 max mem: 8505
  304. Epoch: [0] [ 680/2250] eta: 0:22:45 lr: 0.003407 loss: 0.0263 (0.1691) loss_classifier: 0.0182 (0.0481) loss_box_reg: 0.0031 (0.0272) loss_mask: 0.0001 (0.0418) loss_objectness: 0.0011 (0.0102) loss_rpn_box_reg: 0.0034 (0.0417) time: 0.8525 data: 0.0030 max mem: 8505
  305. Epoch: [0] [ 690/2250] eta: 0:22:36 lr: 0.003457 loss: 0.0259 (0.1670) loss_classifier: 0.0180 (0.0477) loss_box_reg: 0.0028 (0.0268) loss_mask: 0.0001 (0.0413) loss_objectness: 0.0012 (0.0101) loss_rpn_box_reg: 0.0038 (0.0412) time: 0.8533 data: 0.0045 max mem: 8505
  306. Epoch: [0] [ 700/2250] eta: 0:22:27 lr: 0.003506 loss: 0.0253 (0.1650) loss_classifier: 0.0177 (0.0473) loss_box_reg: 0.0029 (0.0265) loss_mask: 0.0001 (0.0407) loss_objectness: 0.0013 (0.0099) loss_rpn_box_reg: 0.0030 (0.0406) time: 0.8541 data: 0.0039 max mem: 8505
  307. Epoch: [0] [ 710/2250] eta: 0:22:18 lr: 0.003556 loss: 0.0258 (0.1631) loss_classifier: 0.0176 (0.0468) loss_box_reg: 0.0036 (0.0262) loss_mask: 0.0001 (0.0401) loss_objectness: 0.0011 (0.0098) loss_rpn_box_reg: 0.0027 (0.0401) time: 0.8533 data: 0.0023 max mem: 8505
  308. Epoch: [0] [ 720/2250] eta: 0:22:09 lr: 0.003606 loss: 0.0266 (0.1612) loss_classifier: 0.0171 (0.0464) loss_box_reg: 0.0039 (0.0259) loss_mask: 0.0001 (0.0396) loss_objectness: 0.0009 (0.0097) loss_rpn_box_reg: 0.0028 (0.0396) time: 0.8533 data: 0.0031 max mem: 8505
  309. Epoch: [0] [ 730/2250] eta: 0:22:00 lr: 0.003656 loss: 0.0251 (0.1593) loss_classifier: 0.0174 (0.0460) loss_box_reg: 0.0035 (0.0256) loss_mask: 0.0001 (0.0390) loss_objectness: 0.0009 (0.0096) loss_rpn_box_reg: 0.0026 (0.0391) time: 0.8525 data: 0.0031 max mem: 8505
  310. Epoch: [0] [ 740/2250] eta: 0:21:51 lr: 0.003706 loss: 0.0257 (0.1575) loss_classifier: 0.0176 (0.0457) loss_box_reg: 0.0034 (0.0253) loss_mask: 0.0001 (0.0385) loss_objectness: 0.0012 (0.0095) loss_rpn_box_reg: 0.0030 (0.0386) time: 0.8533 data: 0.0018 max mem: 8505
  311. Epoch: [0] [ 750/2250] eta: 0:21:43 lr: 0.003756 loss: 0.0265 (0.1558) loss_classifier: 0.0176 (0.0453) loss_box_reg: 0.0031 (0.0250) loss_mask: 0.0001 (0.0380) loss_objectness: 0.0013 (0.0094) loss_rpn_box_reg: 0.0037 (0.0381) time: 0.8718 data: 0.0020 max mem: 8505
  312. Epoch: [0] [ 760/2250] eta: 0:21:35 lr: 0.003806 loss: 0.0251 (0.1541) loss_classifier: 0.0172 (0.0449) loss_box_reg: 0.0031 (0.0247) loss_mask: 0.0001 (0.0375) loss_objectness: 0.0013 (0.0093) loss_rpn_box_reg: 0.0028 (0.0377) time: 0.9044 data: 0.0017 max mem: 8505
  313. Epoch: [0] [ 770/2250] eta: 0:21:27 lr: 0.003856 loss: 0.0235 (0.1524) loss_classifier: 0.0172 (0.0446) loss_box_reg: 0.0031 (0.0244) loss_mask: 0.0001 (0.0370) loss_objectness: 0.0010 (0.0092) loss_rpn_box_reg: 0.0021 (0.0372) time: 0.9202 data: 0.0023 max mem: 8505
  314. Epoch: [0] [ 780/2250] eta: 0:21:19 lr: 0.003906 loss: 0.0234 (0.1507) loss_classifier: 0.0167 (0.0442) loss_box_reg: 0.0027 (0.0241) loss_mask: 0.0001 (0.0366) loss_objectness: 0.0011 (0.0091) loss_rpn_box_reg: 0.0020 (0.0368) time: 0.9149 data: 0.0028 max mem: 8505
  315. Epoch: [0] [ 790/2250] eta: 0:21:11 lr: 0.003956 loss: 0.0234 (0.1491) loss_classifier: 0.0167 (0.0439) loss_box_reg: 0.0022 (0.0239) loss_mask: 0.0001 (0.0361) loss_objectness: 0.0012 (0.0090) loss_rpn_box_reg: 0.0028 (0.0363) time: 0.9038 data: 0.0024 max mem: 8505
  316. Epoch: [0] [ 800/2250] eta: 0:21:03 lr: 0.004006 loss: 0.0229 (0.1475) loss_classifier: 0.0171 (0.0435) loss_box_reg: 0.0021 (0.0236) loss_mask: 0.0001 (0.0356) loss_objectness: 0.0011 (0.0089) loss_rpn_box_reg: 0.0021 (0.0359) time: 0.8991 data: 0.0030 max mem: 8505
  317. Epoch: [0] [ 810/2250] eta: 0:20:54 lr: 0.004056 loss: 0.0230 (0.1460) loss_classifier: 0.0176 (0.0432) loss_box_reg: 0.0027 (0.0233) loss_mask: 0.0001 (0.0352) loss_objectness: 0.0008 (0.0088) loss_rpn_box_reg: 0.0015 (0.0355) time: 0.8836 data: 0.0020 max mem: 8505
  318. Epoch: [0] [ 820/2250] eta: 0:20:45 lr: 0.004106 loss: 0.0244 (0.1446) loss_classifier: 0.0178 (0.0429) loss_box_reg: 0.0028 (0.0231) loss_mask: 0.0001 (0.0348) loss_objectness: 0.0016 (0.0087) loss_rpn_box_reg: 0.0016 (0.0351) time: 0.8641 data: 0.0014 max mem: 8505
  319. Epoch: [0] [ 830/2250] eta: 0:20:37 lr: 0.004156 loss: 0.0243 (0.1432) loss_classifier: 0.0173 (0.0426) loss_box_reg: 0.0028 (0.0228) loss_mask: 0.0001 (0.0345) loss_objectness: 0.0015 (0.0086) loss_rpn_box_reg: 0.0019 (0.0347) time: 0.8682 data: 0.0017 max mem: 8505
  320. Epoch: [0] [ 840/2250] eta: 0:20:28 lr: 0.004206 loss: 0.0228 (0.1418) loss_classifier: 0.0164 (0.0423) loss_box_reg: 0.0025 (0.0226) loss_mask: 0.0002 (0.0341) loss_objectness: 0.0008 (0.0085) loss_rpn_box_reg: 0.0019 (0.0343) time: 0.8728 data: 0.0027 max mem: 8505
  321. Epoch: [0] [ 850/2250] eta: 0:20:19 lr: 0.004256 loss: 0.0216 (0.1404) loss_classifier: 0.0163 (0.0420) loss_box_reg: 0.0023 (0.0224) loss_mask: 0.0002 (0.0337) loss_objectness: 0.0005 (0.0084) loss_rpn_box_reg: 0.0020 (0.0339) time: 0.8623 data: 0.0029 max mem: 8505
  322. Epoch: [0] [ 860/2250] eta: 0:20:10 lr: 0.004306 loss: 0.0216 (0.1390) loss_classifier: 0.0163 (0.0417) loss_box_reg: 0.0022 (0.0221) loss_mask: 0.0002 (0.0333) loss_objectness: 0.0008 (0.0083) loss_rpn_box_reg: 0.0020 (0.0335) time: 0.8530 data: 0.0021 max mem: 8505
  323. Epoch: [0] [ 870/2250] eta: 0:20:01 lr: 0.004356 loss: 0.0215 (0.1377) loss_classifier: 0.0150 (0.0414) loss_box_reg: 0.0022 (0.0219) loss_mask: 0.0001 (0.0329) loss_objectness: 0.0009 (0.0083) loss_rpn_box_reg: 0.0017 (0.0332) time: 0.8532 data: 0.0016 max mem: 8505
  324. Epoch: [0] [ 880/2250] eta: 0:19:52 lr: 0.004406 loss: 0.0232 (0.1364) loss_classifier: 0.0158 (0.0411) loss_box_reg: 0.0026 (0.0217) loss_mask: 0.0001 (0.0325) loss_objectness: 0.0010 (0.0082) loss_rpn_box_reg: 0.0023 (0.0328) time: 0.8548 data: 0.0031 max mem: 8505
  325. Epoch: [0] [ 890/2250] eta: 0:19:43 lr: 0.004456 loss: 0.0231 (0.1351) loss_classifier: 0.0161 (0.0408) loss_box_reg: 0.0026 (0.0215) loss_mask: 0.0001 (0.0322) loss_objectness: 0.0010 (0.0081) loss_rpn_box_reg: 0.0024 (0.0325) time: 0.8546 data: 0.0023 max mem: 8505
  326. Epoch: [0] [ 900/2250] eta: 0:19:34 lr: 0.004505 loss: 0.0223 (0.1339) loss_classifier: 0.0161 (0.0406) loss_box_reg: 0.0025 (0.0213) loss_mask: 0.0001 (0.0318) loss_objectness: 0.0008 (0.0080) loss_rpn_box_reg: 0.0020 (0.0322) time: 0.8546 data: 0.0026 max mem: 8505
  327. Epoch: [0] [ 910/2250] eta: 0:19:26 lr: 0.004555 loss: 0.0219 (0.1326) loss_classifier: 0.0158 (0.0403) loss_box_reg: 0.0022 (0.0211) loss_mask: 0.0001 (0.0315) loss_objectness: 0.0007 (0.0080) loss_rpn_box_reg: 0.0021 (0.0318) time: 0.8720 data: 0.0037 max mem: 8505
  328. Epoch: [0] [ 920/2250] eta: 0:19:17 lr: 0.004605 loss: 0.0200 (0.1314) loss_classifier: 0.0153 (0.0401) loss_box_reg: 0.0019 (0.0209) loss_mask: 0.0001 (0.0312) loss_objectness: 0.0006 (0.0079) loss_rpn_box_reg: 0.0018 (0.0315) time: 0.8757 data: 0.0019 max mem: 8505
  329. Epoch: [0] [ 930/2250] eta: 0:19:08 lr: 0.004655 loss: 0.0203 (0.1303) loss_classifier: 0.0155 (0.0398) loss_box_reg: 0.0019 (0.0207) loss_mask: 0.0001 (0.0308) loss_objectness: 0.0007 (0.0078) loss_rpn_box_reg: 0.0018 (0.0312) time: 0.8641 data: 0.0008 max mem: 8505
  330. Epoch: [0] [ 940/2250] eta: 0:18:59 lr: 0.004705 loss: 0.0203 (0.1291) loss_classifier: 0.0155 (0.0395) loss_box_reg: 0.0022 (0.0205) loss_mask: 0.0001 (0.0305) loss_objectness: 0.0008 (0.0077) loss_rpn_box_reg: 0.0018 (0.0309) time: 0.8663 data: 0.0013 max mem: 8505
  331. Epoch: [0] [ 950/2250] eta: 0:18:51 lr: 0.004755 loss: 0.0198 (0.1280) loss_classifier: 0.0152 (0.0393) loss_box_reg: 0.0019 (0.0203) loss_mask: 0.0001 (0.0302) loss_objectness: 0.0010 (0.0077) loss_rpn_box_reg: 0.0018 (0.0306) time: 0.8639 data: 0.0038 max mem: 8505
  332. Epoch: [0] [ 960/2250] eta: 0:18:42 lr: 0.004805 loss: 0.0197 (0.1268) loss_classifier: 0.0150 (0.0390) loss_box_reg: 0.0015 (0.0201) loss_mask: 0.0001 (0.0299) loss_objectness: 0.0009 (0.0076) loss_rpn_box_reg: 0.0018 (0.0303) time: 0.8620 data: 0.0038 max mem: 8505
  333. Epoch: [0] [ 970/2250] eta: 0:18:33 lr: 0.004855 loss: 0.0200 (0.1257) loss_classifier: 0.0155 (0.0388) loss_box_reg: 0.0014 (0.0199) loss_mask: 0.0001 (0.0296) loss_objectness: 0.0008 (0.0075) loss_rpn_box_reg: 0.0014 (0.0300) time: 0.8627 data: 0.0033 max mem: 8505
  334. Epoch: [0] [ 980/2250] eta: 0:18:24 lr: 0.004905 loss: 0.0200 (0.1247) loss_classifier: 0.0154 (0.0386) loss_box_reg: 0.0016 (0.0197) loss_mask: 0.0001 (0.0293) loss_objectness: 0.0007 (0.0075) loss_rpn_box_reg: 0.0020 (0.0297) time: 0.8698 data: 0.0022 max mem: 8505
  335. Epoch: [0] [ 990/2250] eta: 0:18:16 lr: 0.004955 loss: 0.0196 (0.1236) loss_classifier: 0.0146 (0.0383) loss_box_reg: 0.0018 (0.0195) loss_mask: 0.0001 (0.0290) loss_objectness: 0.0007 (0.0074) loss_rpn_box_reg: 0.0020 (0.0294) time: 0.8666 data: 0.0018 max mem: 8505
  336. Epoch: [0] [1000/2250] eta: 0:18:07 lr: 0.005000 loss: 0.0183 (0.1226) loss_classifier: 0.0142 (0.0381) loss_box_reg: 0.0016 (0.0193) loss_mask: 0.0001 (0.0287) loss_objectness: 0.0005 (0.0073) loss_rpn_box_reg: 0.0014 (0.0291) time: 0.8537 data: 0.0024 max mem: 8505
  337. Epoch: [0] [1010/2250] eta: 0:17:58 lr: 0.005000 loss: 0.0186 (0.1215) loss_classifier: 0.0149 (0.0379) loss_box_reg: 0.0015 (0.0192) loss_mask: 0.0001 (0.0284) loss_objectness: 0.0005 (0.0073) loss_rpn_box_reg: 0.0012 (0.0288) time: 0.8532 data: 0.0028 max mem: 8505
  338. Epoch: [0] [1020/2250] eta: 0:17:49 lr: 0.005000 loss: 0.0191 (0.1205) loss_classifier: 0.0147 (0.0376) loss_box_reg: 0.0014 (0.0190) loss_mask: 0.0001 (0.0281) loss_objectness: 0.0011 (0.0072) loss_rpn_box_reg: 0.0012 (0.0286) time: 0.8565 data: 0.0029 max mem: 8505
  339. Epoch: [0] [1030/2250] eta: 0:17:40 lr: 0.005000 loss: 0.0203 (0.1196) loss_classifier: 0.0147 (0.0374) loss_box_reg: 0.0014 (0.0188) loss_mask: 0.0001 (0.0279) loss_objectness: 0.0008 (0.0072) loss_rpn_box_reg: 0.0017 (0.0283) time: 0.8558 data: 0.0015 max mem: 8505
  340. Epoch: [0] [1040/2250] eta: 0:17:31 lr: 0.005000 loss: 0.0208 (0.1186) loss_classifier: 0.0144 (0.0372) loss_box_reg: 0.0019 (0.0187) loss_mask: 0.0001 (0.0276) loss_objectness: 0.0007 (0.0071) loss_rpn_box_reg: 0.0021 (0.0281) time: 0.8526 data: 0.0022 max mem: 8505
  341. Epoch: [0] [1050/2250] eta: 0:17:22 lr: 0.005000 loss: 0.0200 (0.1177) loss_classifier: 0.0144 (0.0370) loss_box_reg: 0.0023 (0.0185) loss_mask: 0.0001 (0.0273) loss_objectness: 0.0007 (0.0070) loss_rpn_box_reg: 0.0016 (0.0278) time: 0.8525 data: 0.0019 max mem: 8505
  342. Epoch: [0] [1060/2250] eta: 0:17:13 lr: 0.005000 loss: 0.0187 (0.1168) loss_classifier: 0.0146 (0.0368) loss_box_reg: 0.0022 (0.0184) loss_mask: 0.0001 (0.0271) loss_objectness: 0.0005 (0.0070) loss_rpn_box_reg: 0.0014 (0.0276) time: 0.8533 data: 0.0011 max mem: 8505
  343. Epoch: [0] [1070/2250] eta: 0:17:04 lr: 0.005000 loss: 0.0187 (0.1159) loss_classifier: 0.0149 (0.0366) loss_box_reg: 0.0019 (0.0182) loss_mask: 0.0001 (0.0268) loss_objectness: 0.0005 (0.0069) loss_rpn_box_reg: 0.0012 (0.0273) time: 0.8534 data: 0.0014 max mem: 8505
  344. Epoch: [0] [1080/2250] eta: 0:16:56 lr: 0.005000 loss: 0.0192 (0.1150) loss_classifier: 0.0149 (0.0364) loss_box_reg: 0.0017 (0.0180) loss_mask: 0.0001 (0.0266) loss_objectness: 0.0007 (0.0069) loss_rpn_box_reg: 0.0012 (0.0271) time: 0.8533 data: 0.0007 max mem: 8505
  345. Epoch: [0] [1090/2250] eta: 0:16:47 lr: 0.005000 loss: 0.0185 (0.1141) loss_classifier: 0.0148 (0.0362) loss_box_reg: 0.0013 (0.0179) loss_mask: 0.0001 (0.0263) loss_objectness: 0.0006 (0.0068) loss_rpn_box_reg: 0.0013 (0.0269) time: 0.8532 data: 0.0027 max mem: 8505
  346. Epoch: [0] [1100/2250] eta: 0:16:38 lr: 0.005000 loss: 0.0180 (0.1132) loss_classifier: 0.0153 (0.0360) loss_box_reg: 0.0012 (0.0177) loss_mask: 0.0000 (0.0261) loss_objectness: 0.0004 (0.0067) loss_rpn_box_reg: 0.0011 (0.0266) time: 0.8532 data: 0.0039 max mem: 8505
  347. Epoch: [0] [1110/2250] eta: 0:16:29 lr: 0.005000 loss: 0.0183 (0.1124) loss_classifier: 0.0143 (0.0358) loss_box_reg: 0.0013 (0.0176) loss_mask: 0.0000 (0.0259) loss_objectness: 0.0009 (0.0067) loss_rpn_box_reg: 0.0010 (0.0264) time: 0.8533 data: 0.0035 max mem: 8505
  348. Epoch: [0] [1120/2250] eta: 0:16:20 lr: 0.005000 loss: 0.0187 (0.1115) loss_classifier: 0.0148 (0.0356) loss_box_reg: 0.0015 (0.0175) loss_mask: 0.0000 (0.0256) loss_objectness: 0.0009 (0.0066) loss_rpn_box_reg: 0.0010 (0.0262) time: 0.8533 data: 0.0039 max mem: 8505
  349. Epoch: [0] [1130/2250] eta: 0:16:11 lr: 0.005000 loss: 0.0195 (0.1107) loss_classifier: 0.0155 (0.0355) loss_box_reg: 0.0017 (0.0173) loss_mask: 0.0000 (0.0254) loss_objectness: 0.0006 (0.0066) loss_rpn_box_reg: 0.0012 (0.0259) time: 0.8525 data: 0.0036 max mem: 8505
  350. Epoch: [0] [1140/2250] eta: 0:16:03 lr: 0.005000 loss: 0.0201 (0.1099) loss_classifier: 0.0158 (0.0353) loss_box_reg: 0.0018 (0.0172) loss_mask: 0.0000 (0.0252) loss_objectness: 0.0007 (0.0065) loss_rpn_box_reg: 0.0014 (0.0257) time: 0.8540 data: 0.0042 max mem: 8505
  351. Epoch: [0] [1150/2250] eta: 0:15:54 lr: 0.005000 loss: 0.0201 (0.1091) loss_classifier: 0.0152 (0.0351) loss_box_reg: 0.0015 (0.0170) loss_mask: 0.0000 (0.0250) loss_objectness: 0.0008 (0.0065) loss_rpn_box_reg: 0.0015 (0.0255) time: 0.8548 data: 0.0032 max mem: 8505
  352. Epoch: [0] [1160/2250] eta: 0:15:45 lr: 0.005000 loss: 0.0182 (0.1084) loss_classifier: 0.0147 (0.0349) loss_box_reg: 0.0013 (0.0169) loss_mask: 0.0000 (0.0247) loss_objectness: 0.0006 (0.0064) loss_rpn_box_reg: 0.0011 (0.0253) time: 0.8533 data: 0.0026 max mem: 8505
  353. Epoch: [0] [1170/2250] eta: 0:15:36 lr: 0.005000 loss: 0.0200 (0.1076) loss_classifier: 0.0163 (0.0348) loss_box_reg: 0.0014 (0.0168) loss_mask: 0.0000 (0.0245) loss_objectness: 0.0005 (0.0064) loss_rpn_box_reg: 0.0015 (0.0251) time: 0.8534 data: 0.0031 max mem: 8505
  354. Epoch: [0] [1180/2250] eta: 0:15:27 lr: 0.005000 loss: 0.0212 (0.1069) loss_classifier: 0.0161 (0.0346) loss_box_reg: 0.0017 (0.0167) loss_mask: 0.0000 (0.0243) loss_objectness: 0.0006 (0.0064) loss_rpn_box_reg: 0.0017 (0.0249) time: 0.8535 data: 0.0023 max mem: 8505
  355. Epoch: [0] [1190/2250] eta: 0:15:19 lr: 0.005000 loss: 0.0202 (0.1061) loss_classifier: 0.0158 (0.0345) loss_box_reg: 0.0016 (0.0165) loss_mask: 0.0000 (0.0241) loss_objectness: 0.0008 (0.0063) loss_rpn_box_reg: 0.0014 (0.0247) time: 0.8535 data: 0.0016 max mem: 8505
  356. Epoch: [0] [1200/2250] eta: 0:15:10 lr: 0.005000 loss: 0.0192 (0.1054) loss_classifier: 0.0154 (0.0343) loss_box_reg: 0.0013 (0.0164) loss_mask: 0.0000 (0.0239) loss_objectness: 0.0007 (0.0063) loss_rpn_box_reg: 0.0011 (0.0245) time: 0.8533 data: 0.0010 max mem: 8505
  357. Epoch: [0] [1210/2250] eta: 0:15:01 lr: 0.005000 loss: 0.0187 (0.1047) loss_classifier: 0.0152 (0.0342) loss_box_reg: 0.0014 (0.0163) loss_mask: 0.0000 (0.0237) loss_objectness: 0.0008 (0.0062) loss_rpn_box_reg: 0.0008 (0.0243) time: 0.8533 data: 0.0026 max mem: 8505
  358. Epoch: [0] [1220/2250] eta: 0:14:52 lr: 0.005000 loss: 0.0194 (0.1040) loss_classifier: 0.0154 (0.0340) loss_box_reg: 0.0019 (0.0162) loss_mask: 0.0000 (0.0235) loss_objectness: 0.0005 (0.0062) loss_rpn_box_reg: 0.0008 (0.0241) time: 0.8538 data: 0.0024 max mem: 8505
  359. Epoch: [0] [1230/2250] eta: 0:14:44 lr: 0.005000 loss: 0.0199 (0.1033) loss_classifier: 0.0158 (0.0339) loss_box_reg: 0.0023 (0.0160) loss_mask: 0.0000 (0.0234) loss_objectness: 0.0005 (0.0061) loss_rpn_box_reg: 0.0008 (0.0240) time: 0.8541 data: 0.0009 max mem: 8505
  360. Epoch: [0] [1240/2250] eta: 0:14:35 lr: 0.005000 loss: 0.0201 (0.1027) loss_classifier: 0.0161 (0.0337) loss_box_reg: 0.0016 (0.0159) loss_mask: 0.0000 (0.0232) loss_objectness: 0.0006 (0.0061) loss_rpn_box_reg: 0.0009 (0.0238) time: 0.8545 data: 0.0026 max mem: 8505
  361. Epoch: [0] [1250/2250] eta: 0:14:26 lr: 0.005000 loss: 0.0202 (0.1020) loss_classifier: 0.0161 (0.0336) loss_box_reg: 0.0015 (0.0158) loss_mask: 0.0000 (0.0230) loss_objectness: 0.0006 (0.0060) loss_rpn_box_reg: 0.0012 (0.0236) time: 0.8541 data: 0.0026 max mem: 8505
  362. Epoch: [0] [1260/2250] eta: 0:14:17 lr: 0.005000 loss: 0.0197 (0.1014) loss_classifier: 0.0159 (0.0335) loss_box_reg: 0.0017 (0.0157) loss_mask: 0.0000 (0.0228) loss_objectness: 0.0008 (0.0060) loss_rpn_box_reg: 0.0010 (0.0234) time: 0.8542 data: 0.0022 max mem: 8505
  363. Epoch: [0] [1270/2250] eta: 0:14:08 lr: 0.005000 loss: 0.0192 (0.1007) loss_classifier: 0.0162 (0.0333) loss_box_reg: 0.0017 (0.0156) loss_mask: 0.0000 (0.0226) loss_objectness: 0.0005 (0.0060) loss_rpn_box_reg: 0.0010 (0.0232) time: 0.8549 data: 0.0022 max mem: 8505
  364. Epoch: [0] [1280/2250] eta: 0:14:00 lr: 0.005000 loss: 0.0186 (0.1001) loss_classifier: 0.0155 (0.0332) loss_box_reg: 0.0014 (0.0155) loss_mask: 0.0000 (0.0225) loss_objectness: 0.0004 (0.0059) loss_rpn_box_reg: 0.0010 (0.0231) time: 0.8541 data: 0.0011 max mem: 8505
  365. Epoch: [0] [1290/2250] eta: 0:13:51 lr: 0.005000 loss: 0.0182 (0.0994) loss_classifier: 0.0155 (0.0330) loss_box_reg: 0.0013 (0.0154) loss_mask: 0.0000 (0.0223) loss_objectness: 0.0003 (0.0059) loss_rpn_box_reg: 0.0007 (0.0229) time: 0.8541 data: 0.0027 max mem: 8505
  366. Epoch: [0] [1300/2250] eta: 0:13:42 lr: 0.005000 loss: 0.0185 (0.0989) loss_classifier: 0.0159 (0.0329) loss_box_reg: 0.0013 (0.0153) loss_mask: 0.0000 (0.0222) loss_objectness: 0.0004 (0.0058) loss_rpn_box_reg: 0.0007 (0.0227) time: 0.8541 data: 0.0031 max mem: 8505
  367. Epoch: [0] [1310/2250] eta: 0:13:33 lr: 0.005000 loss: 0.0204 (0.0983) loss_classifier: 0.0159 (0.0328) loss_box_reg: 0.0016 (0.0152) loss_mask: 0.0000 (0.0220) loss_objectness: 0.0009 (0.0058) loss_rpn_box_reg: 0.0012 (0.0226) time: 0.8542 data: 0.0031 max mem: 8505
  368. Epoch: [0] [1320/2250] eta: 0:13:25 lr: 0.005000 loss: 0.0202 (0.0977) loss_classifier: 0.0155 (0.0327) loss_box_reg: 0.0017 (0.0151) loss_mask: 0.0001 (0.0218) loss_objectness: 0.0005 (0.0058) loss_rpn_box_reg: 0.0014 (0.0224) time: 0.8541 data: 0.0027 max mem: 8505
  369. Epoch: [0] [1330/2250] eta: 0:13:16 lr: 0.005000 loss: 0.0187 (0.0971) loss_classifier: 0.0148 (0.0325) loss_box_reg: 0.0014 (0.0150) loss_mask: 0.0001 (0.0217) loss_objectness: 0.0004 (0.0057) loss_rpn_box_reg: 0.0016 (0.0222) time: 0.8549 data: 0.0015 max mem: 8505
  370. Epoch: [0] [1340/2250] eta: 0:13:07 lr: 0.005000 loss: 0.0183 (0.0965) loss_classifier: 0.0140 (0.0324) loss_box_reg: 0.0014 (0.0149) loss_mask: 0.0001 (0.0215) loss_objectness: 0.0004 (0.0057) loss_rpn_box_reg: 0.0013 (0.0221) time: 0.8549 data: 0.0027 max mem: 8505
  371. Epoch: [0] [1350/2250] eta: 0:12:59 lr: 0.005000 loss: 0.0183 (0.0959) loss_classifier: 0.0150 (0.0323) loss_box_reg: 0.0013 (0.0148) loss_mask: 0.0001 (0.0213) loss_objectness: 0.0003 (0.0056) loss_rpn_box_reg: 0.0013 (0.0219) time: 0.8541 data: 0.0027 max mem: 8505
  372. Epoch: [0] [1360/2250] eta: 0:12:50 lr: 0.005000 loss: 0.0188 (0.0954) loss_classifier: 0.0158 (0.0322) loss_box_reg: 0.0010 (0.0147) loss_mask: 0.0001 (0.0212) loss_objectness: 0.0004 (0.0056) loss_rpn_box_reg: 0.0012 (0.0218) time: 0.8542 data: 0.0011 max mem: 8505
  373. Epoch: [0] [1370/2250] eta: 0:12:41 lr: 0.005000 loss: 0.0176 (0.0948) loss_classifier: 0.0145 (0.0320) loss_box_reg: 0.0011 (0.0146) loss_mask: 0.0001 (0.0210) loss_objectness: 0.0006 (0.0056) loss_rpn_box_reg: 0.0010 (0.0216) time: 0.8539 data: 0.0008 max mem: 8505
  374. Epoch: [0] [1380/2250] eta: 0:12:32 lr: 0.005000 loss: 0.0163 (0.0943) loss_classifier: 0.0136 (0.0319) loss_box_reg: 0.0013 (0.0145) loss_mask: 0.0001 (0.0209) loss_objectness: 0.0004 (0.0055) loss_rpn_box_reg: 0.0008 (0.0215) time: 0.8542 data: 0.0027 max mem: 8505
  375. Epoch: [0] [1390/2250] eta: 0:12:24 lr: 0.005000 loss: 0.0161 (0.0937) loss_classifier: 0.0137 (0.0318) loss_box_reg: 0.0011 (0.0144) loss_mask: 0.0001 (0.0207) loss_objectness: 0.0003 (0.0055) loss_rpn_box_reg: 0.0008 (0.0213) time: 0.8585 data: 0.0027 max mem: 8505
  376. Epoch: [0] [1400/2250] eta: 0:12:15 lr: 0.005000 loss: 0.0167 (0.0932) loss_classifier: 0.0143 (0.0317) loss_box_reg: 0.0010 (0.0143) loss_mask: 0.0001 (0.0206) loss_objectness: 0.0003 (0.0055) loss_rpn_box_reg: 0.0007 (0.0212) time: 0.8626 data: 0.0020 max mem: 8505
  377. Epoch: [0] [1410/2250] eta: 0:12:06 lr: 0.005000 loss: 0.0169 (0.0926) loss_classifier: 0.0145 (0.0315) loss_box_reg: 0.0010 (0.0142) loss_mask: 0.0001 (0.0204) loss_objectness: 0.0004 (0.0054) loss_rpn_box_reg: 0.0007 (0.0210) time: 0.8579 data: 0.0037 max mem: 8505
  378. Epoch: [0] [1420/2250] eta: 0:11:58 lr: 0.005000 loss: 0.0180 (0.0921) loss_classifier: 0.0150 (0.0314) loss_box_reg: 0.0012 (0.0141) loss_mask: 0.0001 (0.0203) loss_objectness: 0.0004 (0.0054) loss_rpn_box_reg: 0.0007 (0.0209) time: 0.8632 data: 0.0033 max mem: 8505
  379. Epoch: [0] [1430/2250] eta: 0:11:49 lr: 0.005000 loss: 0.0182 (0.0916) loss_classifier: 0.0152 (0.0313) loss_box_reg: 0.0013 (0.0140) loss_mask: 0.0001 (0.0202) loss_objectness: 0.0006 (0.0054) loss_rpn_box_reg: 0.0007 (0.0208) time: 0.8645 data: 0.0016 max mem: 8505
  380. Epoch: [0] [1440/2250] eta: 0:11:40 lr: 0.005000 loss: 0.0188 (0.0911) loss_classifier: 0.0152 (0.0312) loss_box_reg: 0.0020 (0.0139) loss_mask: 0.0000 (0.0200) loss_objectness: 0.0005 (0.0053) loss_rpn_box_reg: 0.0007 (0.0206) time: 0.8545 data: 0.0012 max mem: 8505
  381. Epoch: [0] [1450/2250] eta: 0:11:32 lr: 0.005000 loss: 0.0200 (0.0906) loss_classifier: 0.0163 (0.0311) loss_box_reg: 0.0021 (0.0138) loss_mask: 0.0000 (0.0199) loss_objectness: 0.0005 (0.0053) loss_rpn_box_reg: 0.0008 (0.0205) time: 0.8534 data: 0.0012 max mem: 8505
  382. Epoch: [0] [1460/2250] eta: 0:11:23 lr: 0.005000 loss: 0.0207 (0.0902) loss_classifier: 0.0164 (0.0310) loss_box_reg: 0.0021 (0.0138) loss_mask: 0.0000 (0.0197) loss_objectness: 0.0005 (0.0053) loss_rpn_box_reg: 0.0012 (0.0204) time: 0.8545 data: 0.0039 max mem: 8505
  383. Epoch: [0] [1470/2250] eta: 0:11:14 lr: 0.005000 loss: 0.0201 (0.0897) loss_classifier: 0.0160 (0.0309) loss_box_reg: 0.0021 (0.0137) loss_mask: 0.0000 (0.0196) loss_objectness: 0.0004 (0.0052) loss_rpn_box_reg: 0.0016 (0.0202) time: 0.8540 data: 0.0031 max mem: 8505
  384. Epoch: [0] [1480/2250] eta: 0:11:05 lr: 0.005000 loss: 0.0189 (0.0892) loss_classifier: 0.0151 (0.0308) loss_box_reg: 0.0014 (0.0136) loss_mask: 0.0000 (0.0195) loss_objectness: 0.0003 (0.0052) loss_rpn_box_reg: 0.0013 (0.0201) time: 0.8534 data: 0.0016 max mem: 8505
  385. Epoch: [0] [1490/2250] eta: 0:10:57 lr: 0.005000 loss: 0.0185 (0.0887) loss_classifier: 0.0150 (0.0307) loss_box_reg: 0.0013 (0.0135) loss_mask: 0.0001 (0.0194) loss_objectness: 0.0003 (0.0052) loss_rpn_box_reg: 0.0010 (0.0200) time: 0.8652 data: 0.0029 max mem: 8505
  386. Epoch: [0] [1500/2250] eta: 0:10:48 lr: 0.005000 loss: 0.0183 (0.0883) loss_classifier: 0.0152 (0.0306) loss_box_reg: 0.0011 (0.0134) loss_mask: 0.0001 (0.0192) loss_objectness: 0.0005 (0.0051) loss_rpn_box_reg: 0.0006 (0.0198) time: 0.8741 data: 0.0025 max mem: 8505
  387. Epoch: [0] [1510/2250] eta: 0:10:40 lr: 0.005000 loss: 0.0183 (0.0878) loss_classifier: 0.0152 (0.0305) loss_box_reg: 0.0010 (0.0134) loss_mask: 0.0001 (0.0191) loss_objectness: 0.0004 (0.0051) loss_rpn_box_reg: 0.0006 (0.0197) time: 0.8719 data: 0.0025 max mem: 8505
  388. Epoch: [0] [1520/2250] eta: 0:10:31 lr: 0.005000 loss: 0.0179 (0.0873) loss_classifier: 0.0152 (0.0304) loss_box_reg: 0.0012 (0.0133) loss_mask: 0.0001 (0.0190) loss_objectness: 0.0003 (0.0051) loss_rpn_box_reg: 0.0006 (0.0196) time: 0.8681 data: 0.0014 max mem: 8505
  389. Epoch: [0] [1530/2250] eta: 0:10:22 lr: 0.005000 loss: 0.0172 (0.0869) loss_classifier: 0.0148 (0.0303) loss_box_reg: 0.0013 (0.0132) loss_mask: 0.0000 (0.0188) loss_objectness: 0.0002 (0.0050) loss_rpn_box_reg: 0.0007 (0.0195) time: 0.8614 data: 0.0008 max mem: 8505
  390. Epoch: [0] [1540/2250] eta: 0:10:14 lr: 0.005000 loss: 0.0171 (0.0864) loss_classifier: 0.0145 (0.0302) loss_box_reg: 0.0014 (0.0131) loss_mask: 0.0000 (0.0187) loss_objectness: 0.0003 (0.0050) loss_rpn_box_reg: 0.0008 (0.0193) time: 0.8598 data: 0.0008 max mem: 8505
  391. Epoch: [0] [1550/2250] eta: 0:10:05 lr: 0.005000 loss: 0.0171 (0.0860) loss_classifier: 0.0145 (0.0301) loss_box_reg: 0.0013 (0.0130) loss_mask: 0.0000 (0.0186) loss_objectness: 0.0003 (0.0050) loss_rpn_box_reg: 0.0008 (0.0192) time: 0.8602 data: 0.0011 max mem: 8505
  392. Epoch: [0] [1560/2250] eta: 0:09:56 lr: 0.005000 loss: 0.0168 (0.0856) loss_classifier: 0.0146 (0.0300) loss_box_reg: 0.0011 (0.0130) loss_mask: 0.0000 (0.0185) loss_objectness: 0.0002 (0.0050) loss_rpn_box_reg: 0.0006 (0.0191) time: 0.8602 data: 0.0024 max mem: 8505
  393. Epoch: [0] [1570/2250] eta: 0:09:48 lr: 0.005000 loss: 0.0167 (0.0851) loss_classifier: 0.0151 (0.0299) loss_box_reg: 0.0011 (0.0129) loss_mask: 0.0000 (0.0184) loss_objectness: 0.0002 (0.0049) loss_rpn_box_reg: 0.0005 (0.0190) time: 0.8622 data: 0.0024 max mem: 8505
  394. Epoch: [0] [1580/2250] eta: 0:09:39 lr: 0.005000 loss: 0.0173 (0.0847) loss_classifier: 0.0147 (0.0299) loss_box_reg: 0.0013 (0.0128) loss_mask: 0.0000 (0.0183) loss_objectness: 0.0002 (0.0049) loss_rpn_box_reg: 0.0005 (0.0189) time: 0.8643 data: 0.0029 max mem: 8505
  395. Epoch: [0] [1590/2250] eta: 0:09:30 lr: 0.005000 loss: 0.0179 (0.0843) loss_classifier: 0.0150 (0.0298) loss_box_reg: 0.0011 (0.0127) loss_mask: 0.0000 (0.0181) loss_objectness: 0.0003 (0.0049) loss_rpn_box_reg: 0.0008 (0.0188) time: 0.8644 data: 0.0028 max mem: 8505
  396. Epoch: [0] [1600/2250] eta: 0:09:22 lr: 0.005000 loss: 0.0188 (0.0839) loss_classifier: 0.0163 (0.0297) loss_box_reg: 0.0011 (0.0127) loss_mask: 0.0000 (0.0180) loss_objectness: 0.0004 (0.0048) loss_rpn_box_reg: 0.0007 (0.0186) time: 0.8654 data: 0.0012 max mem: 8505
  397. Epoch: [0] [1610/2250] eta: 0:09:13 lr: 0.005000 loss: 0.0189 (0.0835) loss_classifier: 0.0170 (0.0296) loss_box_reg: 0.0011 (0.0126) loss_mask: 0.0000 (0.0179) loss_objectness: 0.0004 (0.0048) loss_rpn_box_reg: 0.0007 (0.0185) time: 0.8650 data: 0.0003 max mem: 8505
  398. Epoch: [0] [1620/2250] eta: 0:09:04 lr: 0.005000 loss: 0.0194 (0.0831) loss_classifier: 0.0170 (0.0295) loss_box_reg: 0.0011 (0.0125) loss_mask: 0.0000 (0.0178) loss_objectness: 0.0003 (0.0048) loss_rpn_box_reg: 0.0006 (0.0184) time: 0.8625 data: 0.0000 max mem: 8505
  399. Epoch: [0] [1630/2250] eta: 0:08:56 lr: 0.005000 loss: 0.0194 (0.0827) loss_classifier: 0.0169 (0.0294) loss_box_reg: 0.0014 (0.0125) loss_mask: 0.0000 (0.0177) loss_objectness: 0.0002 (0.0048) loss_rpn_box_reg: 0.0006 (0.0183) time: 0.8627 data: 0.0016 max mem: 8505
  400. Epoch: [0] [1640/2250] eta: 0:08:47 lr: 0.005000 loss: 0.0184 (0.0823) loss_classifier: 0.0155 (0.0294) loss_box_reg: 0.0014 (0.0124) loss_mask: 0.0000 (0.0176) loss_objectness: 0.0003 (0.0047) loss_rpn_box_reg: 0.0008 (0.0182) time: 0.8610 data: 0.0032 max mem: 8505
  401. Epoch: [0] [1650/2250] eta: 0:08:38 lr: 0.005000 loss: 0.0175 (0.0819) loss_classifier: 0.0154 (0.0293) loss_box_reg: 0.0011 (0.0123) loss_mask: 0.0000 (0.0175) loss_objectness: 0.0003 (0.0047) loss_rpn_box_reg: 0.0007 (0.0181) time: 0.8620 data: 0.0039 max mem: 8505
  402. Epoch: [0] [1660/2250] eta: 0:08:30 lr: 0.005000 loss: 0.0172 (0.0815) loss_classifier: 0.0153 (0.0292) loss_box_reg: 0.0010 (0.0123) loss_mask: 0.0000 (0.0174) loss_objectness: 0.0003 (0.0047) loss_rpn_box_reg: 0.0006 (0.0180) time: 0.8641 data: 0.0028 max mem: 8505
  403. Epoch: [0] [1670/2250] eta: 0:08:21 lr: 0.005000 loss: 0.0184 (0.0811) loss_classifier: 0.0162 (0.0291) loss_box_reg: 0.0009 (0.0122) loss_mask: 0.0000 (0.0173) loss_objectness: 0.0003 (0.0047) loss_rpn_box_reg: 0.0006 (0.0179) time: 0.8627 data: 0.0013 max mem: 8505
  404. Epoch: [0] [1680/2250] eta: 0:08:12 lr: 0.005000 loss: 0.0184 (0.0808) loss_classifier: 0.0157 (0.0290) loss_box_reg: 0.0009 (0.0121) loss_mask: 0.0000 (0.0172) loss_objectness: 0.0003 (0.0046) loss_rpn_box_reg: 0.0007 (0.0178) time: 0.8625 data: 0.0008 max mem: 8505
  405. Epoch: [0] [1690/2250] eta: 0:08:04 lr: 0.005000 loss: 0.0176 (0.0804) loss_classifier: 0.0150 (0.0290) loss_box_reg: 0.0011 (0.0121) loss_mask: 0.0000 (0.0171) loss_objectness: 0.0003 (0.0046) loss_rpn_box_reg: 0.0009 (0.0177) time: 0.8617 data: 0.0012 max mem: 8505
  406. Epoch: [0] [1700/2250] eta: 0:07:55 lr: 0.005000 loss: 0.0176 (0.0800) loss_classifier: 0.0150 (0.0289) loss_box_reg: 0.0013 (0.0120) loss_mask: 0.0000 (0.0170) loss_objectness: 0.0003 (0.0046) loss_rpn_box_reg: 0.0009 (0.0176) time: 0.8617 data: 0.0027 max mem: 8505
  407. Epoch: [0] [1710/2250] eta: 0:07:46 lr: 0.005000 loss: 0.0193 (0.0797) loss_classifier: 0.0163 (0.0288) loss_box_reg: 0.0012 (0.0119) loss_mask: 0.0000 (0.0169) loss_objectness: 0.0003 (0.0046) loss_rpn_box_reg: 0.0009 (0.0175) time: 0.8617 data: 0.0015 max mem: 8505
  408. Epoch: [0] [1720/2250] eta: 0:07:38 lr: 0.005000 loss: 0.0185 (0.0793) loss_classifier: 0.0160 (0.0287) loss_box_reg: 0.0011 (0.0119) loss_mask: 0.0000 (0.0168) loss_objectness: 0.0003 (0.0045) loss_rpn_box_reg: 0.0006 (0.0174) time: 0.8625 data: 0.0013 max mem: 8505
  409. Epoch: [0] [1730/2250] eta: 0:07:29 lr: 0.005000 loss: 0.0178 (0.0790) loss_classifier: 0.0152 (0.0287) loss_box_reg: 0.0011 (0.0118) loss_mask: 0.0000 (0.0167) loss_objectness: 0.0003 (0.0045) loss_rpn_box_reg: 0.0005 (0.0173) time: 0.8640 data: 0.0041 max mem: 8505
  410. Epoch: [0] [1740/2250] eta: 0:07:20 lr: 0.005000 loss: 0.0178 (0.0786) loss_classifier: 0.0152 (0.0286) loss_box_reg: 0.0010 (0.0117) loss_mask: 0.0000 (0.0166) loss_objectness: 0.0005 (0.0045) loss_rpn_box_reg: 0.0004 (0.0172) time: 0.8633 data: 0.0035 max mem: 8505
  411. Epoch: [0] [1750/2250] eta: 0:07:12 lr: 0.005000 loss: 0.0180 (0.0783) loss_classifier: 0.0167 (0.0285) loss_box_reg: 0.0008 (0.0117) loss_mask: 0.0000 (0.0165) loss_objectness: 0.0003 (0.0045) loss_rpn_box_reg: 0.0005 (0.0171) time: 0.8625 data: 0.0022 max mem: 8505
  412. Epoch: [0] [1760/2250] eta: 0:07:03 lr: 0.005000 loss: 0.0170 (0.0779) loss_classifier: 0.0153 (0.0285) loss_box_reg: 0.0008 (0.0116) loss_mask: 0.0000 (0.0164) loss_objectness: 0.0003 (0.0044) loss_rpn_box_reg: 0.0007 (0.0170) time: 0.8625 data: 0.0019 max mem: 8505
  413. Epoch: [0] [1770/2250] eta: 0:06:55 lr: 0.005000 loss: 0.0169 (0.0776) loss_classifier: 0.0148 (0.0284) loss_box_reg: 0.0011 (0.0116) loss_mask: 0.0000 (0.0163) loss_objectness: 0.0004 (0.0044) loss_rpn_box_reg: 0.0007 (0.0169) time: 0.8611 data: 0.0012 max mem: 8505
  414. Epoch: [0] [1780/2250] eta: 0:06:46 lr: 0.005000 loss: 0.0179 (0.0773) loss_classifier: 0.0142 (0.0283) loss_box_reg: 0.0012 (0.0115) loss_mask: 0.0000 (0.0162) loss_objectness: 0.0003 (0.0044) loss_rpn_box_reg: 0.0007 (0.0168) time: 0.8611 data: 0.0021 max mem: 8505
  415. Epoch: [0] [1790/2250] eta: 0:06:37 lr: 0.005000 loss: 0.0181 (0.0769) loss_classifier: 0.0160 (0.0282) loss_box_reg: 0.0013 (0.0115) loss_mask: 0.0000 (0.0161) loss_objectness: 0.0002 (0.0044) loss_rpn_box_reg: 0.0005 (0.0167) time: 0.8637 data: 0.0021 max mem: 8505
  416. Epoch: [0] [1800/2250] eta: 0:06:29 lr: 0.005000 loss: 0.0177 (0.0766) loss_classifier: 0.0157 (0.0282) loss_box_reg: 0.0010 (0.0114) loss_mask: 0.0000 (0.0160) loss_objectness: 0.0003 (0.0044) loss_rpn_box_reg: 0.0005 (0.0167) time: 0.8638 data: 0.0028 max mem: 8505
  417. Epoch: [0] [1810/2250] eta: 0:06:20 lr: 0.005000 loss: 0.0168 (0.0763) loss_classifier: 0.0142 (0.0281) loss_box_reg: 0.0008 (0.0113) loss_mask: 0.0000 (0.0160) loss_objectness: 0.0003 (0.0043) loss_rpn_box_reg: 0.0004 (0.0166) time: 0.8629 data: 0.0036 max mem: 8505
  418. Epoch: [0] [1820/2250] eta: 0:06:11 lr: 0.005000 loss: 0.0166 (0.0760) loss_classifier: 0.0143 (0.0280) loss_box_reg: 0.0008 (0.0113) loss_mask: 0.0000 (0.0159) loss_objectness: 0.0003 (0.0043) loss_rpn_box_reg: 0.0004 (0.0165) time: 0.8632 data: 0.0031 max mem: 8505
  419. Epoch: [0] [1830/2250] eta: 0:06:03 lr: 0.005000 loss: 0.0177 (0.0756) loss_classifier: 0.0156 (0.0280) loss_box_reg: 0.0010 (0.0112) loss_mask: 0.0000 (0.0158) loss_objectness: 0.0003 (0.0043) loss_rpn_box_reg: 0.0005 (0.0164) time: 0.8627 data: 0.0016 max mem: 8505
  420. Epoch: [0] [1840/2250] eta: 0:05:54 lr: 0.005000 loss: 0.0170 (0.0753) loss_classifier: 0.0150 (0.0279) loss_box_reg: 0.0010 (0.0112) loss_mask: 0.0000 (0.0157) loss_objectness: 0.0003 (0.0043) loss_rpn_box_reg: 0.0006 (0.0163) time: 0.8621 data: 0.0008 max mem: 8505
  421. Epoch: [0] [1850/2250] eta: 0:05:45 lr: 0.005000 loss: 0.0175 (0.0750) loss_classifier: 0.0152 (0.0278) loss_box_reg: 0.0009 (0.0111) loss_mask: 0.0000 (0.0156) loss_objectness: 0.0003 (0.0042) loss_rpn_box_reg: 0.0008 (0.0162) time: 0.8631 data: 0.0023 max mem: 8505
  422. Epoch: [0] [1860/2250] eta: 0:05:37 lr: 0.005000 loss: 0.0176 (0.0747) loss_classifier: 0.0148 (0.0277) loss_box_reg: 0.0009 (0.0111) loss_mask: 0.0000 (0.0155) loss_objectness: 0.0003 (0.0042) loss_rpn_box_reg: 0.0006 (0.0161) time: 0.8625 data: 0.0022 max mem: 8505
  423. Epoch: [0] [1870/2250] eta: 0:05:28 lr: 0.005000 loss: 0.0161 (0.0744) loss_classifier: 0.0142 (0.0277) loss_box_reg: 0.0010 (0.0110) loss_mask: 0.0000 (0.0154) loss_objectness: 0.0002 (0.0042) loss_rpn_box_reg: 0.0006 (0.0161) time: 0.8625 data: 0.0026 max mem: 8505
  424. Epoch: [0] [1880/2250] eta: 0:05:19 lr: 0.005000 loss: 0.0173 (0.0741) loss_classifier: 0.0156 (0.0276) loss_box_reg: 0.0010 (0.0110) loss_mask: 0.0000 (0.0154) loss_objectness: 0.0002 (0.0042) loss_rpn_box_reg: 0.0005 (0.0160) time: 0.8656 data: 0.0034 max mem: 8505
  425. Epoch: [0] [1890/2250] eta: 0:05:11 lr: 0.005000 loss: 0.0175 (0.0738) loss_classifier: 0.0148 (0.0276) loss_box_reg: 0.0012 (0.0109) loss_mask: 0.0000 (0.0153) loss_objectness: 0.0002 (0.0042) loss_rpn_box_reg: 0.0006 (0.0159) time: 0.8648 data: 0.0039 max mem: 8505
  426. Epoch: [0] [1900/2250] eta: 0:05:02 lr: 0.005000 loss: 0.0175 (0.0735) loss_classifier: 0.0147 (0.0275) loss_box_reg: 0.0012 (0.0108) loss_mask: 0.0000 (0.0152) loss_objectness: 0.0003 (0.0041) loss_rpn_box_reg: 0.0008 (0.0158) time: 0.8625 data: 0.0050 max mem: 8505
  427. Epoch: [0] [1910/2250] eta: 0:04:53 lr: 0.005000 loss: 0.0190 (0.0732) loss_classifier: 0.0168 (0.0274) loss_box_reg: 0.0012 (0.0108) loss_mask: 0.0000 (0.0151) loss_objectness: 0.0003 (0.0041) loss_rpn_box_reg: 0.0008 (0.0157) time: 0.8631 data: 0.0054 max mem: 8505
  428. Epoch: [0] [1920/2250] eta: 0:04:45 lr: 0.005000 loss: 0.0187 (0.0729) loss_classifier: 0.0168 (0.0274) loss_box_reg: 0.0012 (0.0107) loss_mask: 0.0000 (0.0150) loss_objectness: 0.0002 (0.0041) loss_rpn_box_reg: 0.0006 (0.0157) time: 0.8633 data: 0.0044 max mem: 8505
  429. Epoch: [0] [1930/2250] eta: 0:04:36 lr: 0.005000 loss: 0.0172 (0.0727) loss_classifier: 0.0153 (0.0273) loss_box_reg: 0.0011 (0.0107) loss_mask: 0.0000 (0.0150) loss_objectness: 0.0002 (0.0041) loss_rpn_box_reg: 0.0007 (0.0156) time: 0.8636 data: 0.0038 max mem: 8505
  430. Epoch: [0] [1940/2250] eta: 0:04:27 lr: 0.005000 loss: 0.0169 (0.0724) loss_classifier: 0.0153 (0.0273) loss_box_reg: 0.0009 (0.0106) loss_mask: 0.0000 (0.0149) loss_objectness: 0.0003 (0.0041) loss_rpn_box_reg: 0.0007 (0.0155) time: 0.8633 data: 0.0024 max mem: 8505
  431. Epoch: [0] [1950/2250] eta: 0:04:19 lr: 0.005000 loss: 0.0167 (0.0721) loss_classifier: 0.0152 (0.0272) loss_box_reg: 0.0009 (0.0106) loss_mask: 0.0000 (0.0148) loss_objectness: 0.0002 (0.0040) loss_rpn_box_reg: 0.0004 (0.0154) time: 0.8624 data: 0.0018 max mem: 8505
  432. Epoch: [0] [1960/2250] eta: 0:04:10 lr: 0.005000 loss: 0.0165 (0.0718) loss_classifier: 0.0147 (0.0271) loss_box_reg: 0.0009 (0.0106) loss_mask: 0.0000 (0.0147) loss_objectness: 0.0002 (0.0040) loss_rpn_box_reg: 0.0005 (0.0154) time: 0.8625 data: 0.0039 max mem: 8505
  433. Epoch: [0] [1970/2250] eta: 0:04:02 lr: 0.005000 loss: 0.0165 (0.0715) loss_classifier: 0.0143 (0.0271) loss_box_reg: 0.0011 (0.0105) loss_mask: 0.0000 (0.0147) loss_objectness: 0.0003 (0.0040) loss_rpn_box_reg: 0.0007 (0.0153) time: 0.8630 data: 0.0031 max mem: 8505
  434. Epoch: [0] [1980/2250] eta: 0:03:53 lr: 0.005000 loss: 0.0161 (0.0713) loss_classifier: 0.0140 (0.0270) loss_box_reg: 0.0010 (0.0105) loss_mask: 0.0000 (0.0146) loss_objectness: 0.0003 (0.0040) loss_rpn_box_reg: 0.0008 (0.0152) time: 0.8627 data: 0.0023 max mem: 8505
  435. Epoch: [0] [1990/2250] eta: 0:03:44 lr: 0.005000 loss: 0.0174 (0.0710) loss_classifier: 0.0149 (0.0269) loss_box_reg: 0.0011 (0.0104) loss_mask: 0.0000 (0.0145) loss_objectness: 0.0004 (0.0040) loss_rpn_box_reg: 0.0005 (0.0151) time: 0.8621 data: 0.0020 max mem: 8505
  436. Epoch: [0] [2000/2250] eta: 0:03:36 lr: 0.005000 loss: 0.0170 (0.0707) loss_classifier: 0.0142 (0.0269) loss_box_reg: 0.0012 (0.0104) loss_mask: 0.0000 (0.0144) loss_objectness: 0.0003 (0.0040) loss_rpn_box_reg: 0.0004 (0.0151) time: 0.8616 data: 0.0011 max mem: 8505
  437. Epoch: [0] [2010/2250] eta: 0:03:27 lr: 0.005000 loss: 0.0170 (0.0704) loss_classifier: 0.0151 (0.0268) loss_box_reg: 0.0012 (0.0103) loss_mask: 0.0000 (0.0144) loss_objectness: 0.0002 (0.0039) loss_rpn_box_reg: 0.0005 (0.0150) time: 0.8625 data: 0.0015 max mem: 8505
  438. Epoch: [0] [2020/2250] eta: 0:03:18 lr: 0.005000 loss: 0.0175 (0.0702) loss_classifier: 0.0153 (0.0268) loss_box_reg: 0.0011 (0.0103) loss_mask: 0.0000 (0.0143) loss_objectness: 0.0002 (0.0039) loss_rpn_box_reg: 0.0006 (0.0149) time: 0.8640 data: 0.0013 max mem: 8505
  439. Epoch: [0] [2030/2250] eta: 0:03:10 lr: 0.005000 loss: 0.0181 (0.0699) loss_classifier: 0.0158 (0.0267) loss_box_reg: 0.0012 (0.0102) loss_mask: 0.0000 (0.0142) loss_objectness: 0.0002 (0.0039) loss_rpn_box_reg: 0.0007 (0.0148) time: 0.8633 data: 0.0004 max mem: 8505
  440. Epoch: [0] [2040/2250] eta: 0:03:01 lr: 0.005000 loss: 0.0189 (0.0697) loss_classifier: 0.0163 (0.0267) loss_box_reg: 0.0012 (0.0102) loss_mask: 0.0000 (0.0142) loss_objectness: 0.0002 (0.0039) loss_rpn_box_reg: 0.0008 (0.0148) time: 0.8641 data: 0.0022 max mem: 8505
  441. Epoch: [0] [2050/2250] eta: 0:02:52 lr: 0.005000 loss: 0.0186 (0.0694) loss_classifier: 0.0163 (0.0266) loss_box_reg: 0.0013 (0.0101) loss_mask: 0.0000 (0.0141) loss_objectness: 0.0002 (0.0039) loss_rpn_box_reg: 0.0006 (0.0147) time: 0.8641 data: 0.0025 max mem: 8505
  442. Epoch: [0] [2060/2250] eta: 0:02:44 lr: 0.005000 loss: 0.0182 (0.0692) loss_classifier: 0.0161 (0.0266) loss_box_reg: 0.0010 (0.0101) loss_mask: 0.0000 (0.0140) loss_objectness: 0.0002 (0.0038) loss_rpn_box_reg: 0.0005 (0.0146) time: 0.8605 data: 0.0034 max mem: 8505
  443. Epoch: [0] [2070/2250] eta: 0:02:35 lr: 0.005000 loss: 0.0180 (0.0689) loss_classifier: 0.0161 (0.0265) loss_box_reg: 0.0009 (0.0101) loss_mask: 0.0000 (0.0140) loss_objectness: 0.0002 (0.0038) loss_rpn_box_reg: 0.0005 (0.0146) time: 0.8602 data: 0.0039 max mem: 8505
  444. Epoch: [0] [2080/2250] eta: 0:02:26 lr: 0.005000 loss: 0.0172 (0.0687) loss_classifier: 0.0152 (0.0265) loss_box_reg: 0.0011 (0.0100) loss_mask: 0.0000 (0.0139) loss_objectness: 0.0003 (0.0038) loss_rpn_box_reg: 0.0004 (0.0145) time: 0.8622 data: 0.0019 max mem: 8505
  445. Epoch: [0] [2090/2250] eta: 0:02:18 lr: 0.005000 loss: 0.0167 (0.0684) loss_classifier: 0.0142 (0.0264) loss_box_reg: 0.0012 (0.0100) loss_mask: 0.0000 (0.0138) loss_objectness: 0.0003 (0.0038) loss_rpn_box_reg: 0.0005 (0.0144) time: 0.8625 data: 0.0037 max mem: 8505
  446. Epoch: [0] [2100/2250] eta: 0:02:09 lr: 0.005000 loss: 0.0163 (0.0683) loss_classifier: 0.0126 (0.0264) loss_box_reg: 0.0017 (0.0099) loss_mask: 0.0000 (0.0138) loss_objectness: 0.0003 (0.0038) loss_rpn_box_reg: 0.0006 (0.0144) time: 0.8633 data: 0.0037 max mem: 8505
  447. Epoch: [0] [2110/2250] eta: 0:02:01 lr: 0.005000 loss: 0.0163 (0.0680) loss_classifier: 0.0125 (0.0263) loss_box_reg: 0.0016 (0.0099) loss_mask: 0.0003 (0.0138) loss_objectness: 0.0003 (0.0038) loss_rpn_box_reg: 0.0008 (0.0143) time: 0.8641 data: 0.0026 max mem: 8505
  448. Epoch: [0] [2120/2250] eta: 0:01:52 lr: 0.005000 loss: 0.0168 (0.0678) loss_classifier: 0.0139 (0.0262) loss_box_reg: 0.0010 (0.0098) loss_mask: 0.0003 (0.0137) loss_objectness: 0.0003 (0.0038) loss_rpn_box_reg: 0.0007 (0.0142) time: 0.8625 data: 0.0025 max mem: 8505
  449. Epoch: [0] [2130/2250] eta: 0:01:43 lr: 0.005000 loss: 0.0167 (0.0675) loss_classifier: 0.0143 (0.0262) loss_box_reg: 0.0009 (0.0098) loss_mask: 0.0002 (0.0136) loss_objectness: 0.0003 (0.0037) loss_rpn_box_reg: 0.0005 (0.0142) time: 0.8625 data: 0.0034 max mem: 8505
  450. Epoch: [0] [2140/2250] eta: 0:01:35 lr: 0.005000 loss: 0.0167 (0.0673) loss_classifier: 0.0143 (0.0261) loss_box_reg: 0.0009 (0.0098) loss_mask: 0.0001 (0.0136) loss_objectness: 0.0003 (0.0037) loss_rpn_box_reg: 0.0005 (0.0141) time: 0.8617 data: 0.0028 max mem: 8505
  451. Epoch: [0] [2150/2250] eta: 0:01:26 lr: 0.005000 loss: 0.0171 (0.0671) loss_classifier: 0.0145 (0.0261) loss_box_reg: 0.0011 (0.0097) loss_mask: 0.0001 (0.0135) loss_objectness: 0.0003 (0.0037) loss_rpn_box_reg: 0.0005 (0.0141) time: 0.8610 data: 0.0004 max mem: 8505
  452. Epoch: [0] [2160/2250] eta: 0:01:17 lr: 0.005000 loss: 0.0182 (0.0668) loss_classifier: 0.0155 (0.0260) loss_box_reg: 0.0012 (0.0097) loss_mask: 0.0001 (0.0134) loss_objectness: 0.0003 (0.0037) loss_rpn_box_reg: 0.0005 (0.0140) time: 0.8627 data: 0.0021 max mem: 8505
  453. Epoch: [0] [2170/2250] eta: 0:01:09 lr: 0.005000 loss: 0.0177 (0.0666) loss_classifier: 0.0154 (0.0260) loss_box_reg: 0.0011 (0.0096) loss_mask: 0.0001 (0.0134) loss_objectness: 0.0002 (0.0037) loss_rpn_box_reg: 0.0007 (0.0139) time: 0.8625 data: 0.0028 max mem: 8505
  454. Epoch: [0] [2180/2250] eta: 0:01:00 lr: 0.005000 loss: 0.0172 (0.0664) loss_classifier: 0.0151 (0.0259) loss_box_reg: 0.0010 (0.0096) loss_mask: 0.0001 (0.0133) loss_objectness: 0.0002 (0.0037) loss_rpn_box_reg: 0.0007 (0.0139) time: 0.8615 data: 0.0018 max mem: 8505
  455. Epoch: [0] [2190/2250] eta: 0:00:51 lr: 0.005000 loss: 0.0162 (0.0662) loss_classifier: 0.0143 (0.0259) loss_box_reg: 0.0010 (0.0096) loss_mask: 0.0001 (0.0133) loss_objectness: 0.0002 (0.0036) loss_rpn_box_reg: 0.0005 (0.0138) time: 0.8609 data: 0.0012 max mem: 8505
  456. Epoch: [0] [2200/2250] eta: 0:00:43 lr: 0.005000 loss: 0.0164 (0.0659) loss_classifier: 0.0146 (0.0258) loss_box_reg: 0.0011 (0.0095) loss_mask: 0.0001 (0.0132) loss_objectness: 0.0002 (0.0036) loss_rpn_box_reg: 0.0005 (0.0138) time: 0.8617 data: 0.0015 max mem: 8505
  457. Epoch: [0] [2210/2250] eta: 0:00:34 lr: 0.005000 loss: 0.0172 (0.0657) loss_classifier: 0.0150 (0.0258) loss_box_reg: 0.0013 (0.0095) loss_mask: 0.0000 (0.0131) loss_objectness: 0.0002 (0.0036) loss_rpn_box_reg: 0.0005 (0.0137) time: 0.8625 data: 0.0023 max mem: 8505
  458. Epoch: [0] [2220/2250] eta: 0:00:25 lr: 0.005000 loss: 0.0167 (0.0655) loss_classifier: 0.0143 (0.0257) loss_box_reg: 0.0010 (0.0095) loss_mask: 0.0000 (0.0131) loss_objectness: 0.0003 (0.0036) loss_rpn_box_reg: 0.0006 (0.0136) time: 0.8617 data: 0.0017 max mem: 8505
  459. Epoch: [0] [2230/2250] eta: 0:00:17 lr: 0.005000 loss: 0.0161 (0.0653) loss_classifier: 0.0144 (0.0257) loss_box_reg: 0.0008 (0.0094) loss_mask: 0.0001 (0.0130) loss_objectness: 0.0003 (0.0036) loss_rpn_box_reg: 0.0006 (0.0136) time: 0.8602 data: 0.0012 max mem: 8505
  460. Epoch: [0] [2240/2250] eta: 0:00:08 lr: 0.005000 loss: 0.0159 (0.0651) loss_classifier: 0.0146 (0.0256) loss_box_reg: 0.0008 (0.0094) loss_mask: 0.0001 (0.0130) loss_objectness: 0.0002 (0.0036) loss_rpn_box_reg: 0.0004 (0.0135) time: 0.8594 data: 0.0019 max mem: 8505
  461. Epoch: [0] [2249/2250] eta: 0:00:00 lr: 0.005000 loss: 0.0154 (0.0649) loss_classifier: 0.0144 (0.0256) loss_box_reg: 0.0009 (0.0093) loss_mask: 0.0001 (0.0129) loss_objectness: 0.0002 (0.0036) loss_rpn_box_reg: 0.0003 (0.0135) time: 0.8625 data: 0.0030 max mem: 8505
  462. Epoch: [0] Total time: 0:32:24 (0.8643 s / it)
  463. creating index...
  464. index created!
  465. Test: [ 0/250] eta: 0:05:39 model_time: 0.6090 (0.6090) evaluator_time: 0.0160 (0.0160) time: 1.3598 data: 0.7348 max mem: 8505
  466. Test: [100/250] eta: 0:00:54 model_time: 0.3282 (0.3424) evaluator_time: 0.0095 (0.0080) time: 0.3406 data: 0.0013 max mem: 8505
  467. Test: [200/250] eta: 0:00:17 model_time: 0.3293 (0.3362) evaluator_time: 0.0000 (0.0088) time: 0.3438 data: 0.0039 max mem: 8505
  468. Test: [249/250] eta: 0:00:00 model_time: 0.3290 (0.3358) evaluator_time: 0.0110 (0.0091) time: 0.3434 data: 0.0018 max mem: 8505
  469. Test: Total time: 0:01:27 (0.3515 s / it)
  470. Averaged stats: model_time: 0.3290 (0.3358) evaluator_time: 0.0110 (0.0091)
  471. Accumulating evaluation results...
  472. DONE (t=0.11s).
  473. Accumulating evaluation results...
  474. DONE (t=0.13s).
  475. IoU metric: bbox
  476. Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.778
  477. Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.779
  478. Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.779
  479. Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.778
  480. Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  481. Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  482. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 1.000
  483. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 1.000
  484. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 1.000
  485. Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 1.000
  486. Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  487. Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  488. IoU metric: segm
  489. Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.675
  490. Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.779
  491. Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.779
  492. Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.675
  493. Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  494. Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  495. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.882
  496. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.882
  497. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.882
  498. Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.882
  499. Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  500. Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  501.  
  502. Epoch: [9] [ 0/2250] eta: 2:11:09 lr: 0.000005 loss: 0.0100 (0.0100) loss_classifier: 0.0096 (0.0096) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 3.4974 data: 2.4615 max mem: 8505
  503. Epoch: [9] [ 10/2250] eta: 0:40:48 lr: 0.000005 loss: 0.0100 (0.0102) loss_classifier: 0.0096 (0.0095) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0002) loss_rpn_box_reg: 0.0001 (0.0001) time: 1.0930 data: 0.2271 max mem: 8505
  504. Epoch: [9] [ 20/2250] eta: 0:36:22 lr: 0.000005 loss: 0.0089 (0.0103) loss_classifier: 0.0079 (0.0097) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8529 data: 0.0026 max mem: 8505
  505. Epoch: [9] [ 30/2250] eta: 0:34:42 lr: 0.000005 loss: 0.0097 (0.0104) loss_classifier: 0.0093 (0.0097) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8525 data: 0.0016 max mem: 8505
  506. Epoch: [9] [ 40/2250] eta: 0:33:46 lr: 0.000005 loss: 0.0107 (0.0107) loss_classifier: 0.0102 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8520 data: 0.0016 max mem: 8505
  507. Epoch: [9] [ 50/2250] eta: 0:33:09 lr: 0.000005 loss: 0.0117 (0.0109) loss_classifier: 0.0111 (0.0102) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0002) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8528 data: 0.0016 max mem: 8505
  508. Epoch: [9] [ 60/2250] eta: 0:32:43 lr: 0.000005 loss: 0.0118 (0.0111) loss_classifier: 0.0111 (0.0104) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8543 data: 0.0024 max mem: 8505
  509. Epoch: [9] [ 70/2250] eta: 0:32:21 lr: 0.000005 loss: 0.0093 (0.0109) loss_classifier: 0.0088 (0.0103) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8551 data: 0.0027 max mem: 8505
  510. Epoch: [9] [ 80/2250] eta: 0:32:03 lr: 0.000005 loss: 0.0093 (0.0109) loss_classifier: 0.0088 (0.0102) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8559 data: 0.0035 max mem: 8505
  511. Epoch: [9] [ 90/2250] eta: 0:31:47 lr: 0.000005 loss: 0.0091 (0.0107) loss_classifier: 0.0086 (0.0100) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0039 max mem: 8505
  512. Epoch: [9] [ 100/2250] eta: 0:31:32 lr: 0.000005 loss: 0.0089 (0.0106) loss_classifier: 0.0080 (0.0099) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8558 data: 0.0023 max mem: 8505
  513. Epoch: [9] [ 110/2250] eta: 0:31:19 lr: 0.000005 loss: 0.0095 (0.0105) loss_classifier: 0.0085 (0.0099) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8559 data: 0.0023 max mem: 8505
  514. Epoch: [9] [ 120/2250] eta: 0:31:07 lr: 0.000005 loss: 0.0097 (0.0105) loss_classifier: 0.0092 (0.0099) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0031 max mem: 8505
  515. Epoch: [9] [ 130/2250] eta: 0:30:55 lr: 0.000005 loss: 0.0105 (0.0106) loss_classifier: 0.0101 (0.0100) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0020 max mem: 8505
  516. Epoch: [9] [ 140/2250] eta: 0:30:43 lr: 0.000005 loss: 0.0123 (0.0108) loss_classifier: 0.0116 (0.0102) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0020 max mem: 8505
  517. Epoch: [9] [ 150/2250] eta: 0:30:32 lr: 0.000005 loss: 0.0111 (0.0107) loss_classifier: 0.0104 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0023 max mem: 8505
  518. Epoch: [9] [ 160/2250] eta: 0:30:21 lr: 0.000005 loss: 0.0098 (0.0107) loss_classifier: 0.0090 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0031 max mem: 8505
  519. Epoch: [9] [ 170/2250] eta: 0:30:11 lr: 0.000005 loss: 0.0104 (0.0107) loss_classifier: 0.0098 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8581 data: 0.0039 max mem: 8505
  520. Epoch: [9] [ 180/2250] eta: 0:30:01 lr: 0.000005 loss: 0.0097 (0.0107) loss_classifier: 0.0092 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8582 data: 0.0031 max mem: 8505
  521. Epoch: [9] [ 190/2250] eta: 0:29:51 lr: 0.000005 loss: 0.0097 (0.0107) loss_classifier: 0.0092 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8583 data: 0.0016 max mem: 8505
  522. Epoch: [9] [ 200/2250] eta: 0:29:41 lr: 0.000005 loss: 0.0097 (0.0108) loss_classifier: 0.0090 (0.0102) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8582 data: 0.0018 max mem: 8505
  523. Epoch: [9] [ 210/2250] eta: 0:29:31 lr: 0.000005 loss: 0.0097 (0.0107) loss_classifier: 0.0090 (0.0101) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8591 data: 0.0021 max mem: 8505
  524. Epoch: [9] [ 220/2250] eta: 0:29:22 lr: 0.000005 loss: 0.0111 (0.0108) loss_classifier: 0.0105 (0.0102) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8595 data: 0.0011 max mem: 8505
  525. Epoch: [9] [ 230/2250] eta: 0:29:12 lr: 0.000005 loss: 0.0106 (0.0108) loss_classifier: 0.0100 (0.0102) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8582 data: 0.0015 max mem: 8505
  526. Epoch: [9] [ 240/2250] eta: 0:29:03 lr: 0.000005 loss: 0.0118 (0.0110) loss_classifier: 0.0114 (0.0104) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8570 data: 0.0016 max mem: 8505
  527. Epoch: [9] [ 250/2250] eta: 0:28:53 lr: 0.000005 loss: 0.0119 (0.0109) loss_classifier: 0.0116 (0.0103) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0024 max mem: 8505
  528. Epoch: [9] [ 260/2250] eta: 0:28:44 lr: 0.000005 loss: 0.0100 (0.0110) loss_classifier: 0.0092 (0.0103) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0031 max mem: 8505
  529. Epoch: [9] [ 270/2250] eta: 0:28:34 lr: 0.000005 loss: 0.0110 (0.0109) loss_classifier: 0.0101 (0.0103) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0024 max mem: 8505
  530. Epoch: [9] [ 280/2250] eta: 0:28:25 lr: 0.000005 loss: 0.0103 (0.0109) loss_classifier: 0.0097 (0.0103) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0023 max mem: 8505
  531. Epoch: [9] [ 290/2250] eta: 0:28:16 lr: 0.000005 loss: 0.0112 (0.0109) loss_classifier: 0.0104 (0.0103) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0016 max mem: 8505
  532. Epoch: [9] [ 300/2250] eta: 0:28:07 lr: 0.000005 loss: 0.0115 (0.0110) loss_classifier: 0.0111 (0.0104) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8560 data: 0.0017 max mem: 8505
  533. Epoch: [9] [ 310/2250] eta: 0:27:57 lr: 0.000005 loss: 0.0116 (0.0110) loss_classifier: 0.0113 (0.0104) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0025 max mem: 8505
  534. Epoch: [9] [ 320/2250] eta: 0:27:48 lr: 0.000005 loss: 0.0114 (0.0110) loss_classifier: 0.0111 (0.0104) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  535. Epoch: [9] [ 330/2250] eta: 0:27:39 lr: 0.000005 loss: 0.0114 (0.0110) loss_classifier: 0.0111 (0.0104) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  536. Epoch: [9] [ 340/2250] eta: 0:27:30 lr: 0.000005 loss: 0.0111 (0.0111) loss_classifier: 0.0106 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0030 max mem: 8505
  537. Epoch: [9] [ 350/2250] eta: 0:27:21 lr: 0.000005 loss: 0.0117 (0.0111) loss_classifier: 0.0103 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0038 max mem: 8505
  538. Epoch: [9] [ 360/2250] eta: 0:27:12 lr: 0.000005 loss: 0.0113 (0.0111) loss_classifier: 0.0103 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0031 max mem: 8505
  539. Epoch: [9] [ 370/2250] eta: 0:27:03 lr: 0.000005 loss: 0.0106 (0.0111) loss_classifier: 0.0103 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0023 max mem: 8505
  540. Epoch: [9] [ 380/2250] eta: 0:26:54 lr: 0.000005 loss: 0.0096 (0.0111) loss_classifier: 0.0092 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0014 max mem: 8505
  541. Epoch: [9] [ 390/2250] eta: 0:26:45 lr: 0.000005 loss: 0.0096 (0.0111) loss_classifier: 0.0092 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0030 max mem: 8505
  542. Epoch: [9] [ 400/2250] eta: 0:26:36 lr: 0.000005 loss: 0.0107 (0.0111) loss_classifier: 0.0101 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0030 max mem: 8505
  543. Epoch: [9] [ 410/2250] eta: 0:26:27 lr: 0.000005 loss: 0.0106 (0.0111) loss_classifier: 0.0101 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0021 max mem: 8505
  544. Epoch: [9] [ 420/2250] eta: 0:26:18 lr: 0.000005 loss: 0.0106 (0.0111) loss_classifier: 0.0100 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0031 max mem: 8505
  545. Epoch: [9] [ 430/2250] eta: 0:26:10 lr: 0.000005 loss: 0.0104 (0.0111) loss_classifier: 0.0095 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8577 data: 0.0023 max mem: 8505
  546. Epoch: [9] [ 440/2250] eta: 0:26:01 lr: 0.000005 loss: 0.0104 (0.0111) loss_classifier: 0.0100 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0021 max mem: 8505
  547. Epoch: [9] [ 450/2250] eta: 0:25:52 lr: 0.000005 loss: 0.0109 (0.0111) loss_classifier: 0.0103 (0.0105) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0021 max mem: 8505
  548. Epoch: [9] [ 460/2250] eta: 0:25:43 lr: 0.000005 loss: 0.0106 (0.0111) loss_classifier: 0.0102 (0.0105) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0036 max mem: 8505
  549. Epoch: [9] [ 470/2250] eta: 0:25:34 lr: 0.000005 loss: 0.0101 (0.0111) loss_classifier: 0.0097 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8571 data: 0.0039 max mem: 8505
  550. Epoch: [9] [ 480/2250] eta: 0:25:25 lr: 0.000005 loss: 0.0105 (0.0111) loss_classifier: 0.0101 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0019 max mem: 8505
  551. Epoch: [9] [ 490/2250] eta: 0:25:17 lr: 0.000005 loss: 0.0103 (0.0111) loss_classifier: 0.0097 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0008 max mem: 8505
  552. Epoch: [9] [ 500/2250] eta: 0:25:08 lr: 0.000005 loss: 0.0101 (0.0111) loss_classifier: 0.0097 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0000) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0016 max mem: 8505
  553. Epoch: [9] [ 510/2250] eta: 0:24:59 lr: 0.000005 loss: 0.0108 (0.0111) loss_classifier: 0.0102 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8572 data: 0.0024 max mem: 8505
  554. Epoch: [9] [ 520/2250] eta: 0:24:50 lr: 0.000005 loss: 0.0114 (0.0111) loss_classifier: 0.0107 (0.0105) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0024 max mem: 8505
  555. Epoch: [9] [ 530/2250] eta: 0:24:42 lr: 0.000005 loss: 0.0112 (0.0111) loss_classifier: 0.0107 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0030 max mem: 8505
  556. Epoch: [9] [ 540/2250] eta: 0:24:33 lr: 0.000005 loss: 0.0091 (0.0111) loss_classifier: 0.0088 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8572 data: 0.0014 max mem: 8505
  557. Epoch: [9] [ 550/2250] eta: 0:24:24 lr: 0.000005 loss: 0.0096 (0.0111) loss_classifier: 0.0090 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0016 max mem: 8505
  558. Epoch: [9] [ 560/2250] eta: 0:24:15 lr: 0.000005 loss: 0.0108 (0.0111) loss_classifier: 0.0102 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0018 max mem: 8505
  559. Epoch: [9] [ 570/2250] eta: 0:24:07 lr: 0.000005 loss: 0.0105 (0.0111) loss_classifier: 0.0100 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0010 max mem: 8505
  560. Epoch: [9] [ 580/2250] eta: 0:23:58 lr: 0.000005 loss: 0.0105 (0.0111) loss_classifier: 0.0096 (0.0105) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0030 max mem: 8505
  561. Epoch: [9] [ 590/2250] eta: 0:23:49 lr: 0.000005 loss: 0.0130 (0.0112) loss_classifier: 0.0117 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0022 max mem: 8505
  562. Epoch: [9] [ 600/2250] eta: 0:23:40 lr: 0.000005 loss: 0.0132 (0.0112) loss_classifier: 0.0125 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0019 max mem: 8505
  563. Epoch: [9] [ 610/2250] eta: 0:23:32 lr: 0.000005 loss: 0.0105 (0.0112) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0035 max mem: 8505
  564. Epoch: [9] [ 620/2250] eta: 0:23:23 lr: 0.000005 loss: 0.0105 (0.0112) loss_classifier: 0.0100 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0027 max mem: 8505
  565. Epoch: [9] [ 630/2250] eta: 0:23:14 lr: 0.000005 loss: 0.0108 (0.0112) loss_classifier: 0.0106 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8576 data: 0.0019 max mem: 8505
  566. Epoch: [9] [ 640/2250] eta: 0:23:06 lr: 0.000005 loss: 0.0119 (0.0112) loss_classifier: 0.0113 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  567. Epoch: [9] [ 650/2250] eta: 0:22:57 lr: 0.000005 loss: 0.0107 (0.0112) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0034 max mem: 8505
  568. Epoch: [9] [ 660/2250] eta: 0:22:48 lr: 0.000005 loss: 0.0103 (0.0112) loss_classifier: 0.0094 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0042 max mem: 8505
  569. Epoch: [9] [ 670/2250] eta: 0:22:39 lr: 0.000005 loss: 0.0099 (0.0112) loss_classifier: 0.0097 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8578 data: 0.0028 max mem: 8505
  570. Epoch: [9] [ 680/2250] eta: 0:22:31 lr: 0.000005 loss: 0.0095 (0.0112) loss_classifier: 0.0089 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8577 data: 0.0016 max mem: 8505
  571. Epoch: [9] [ 690/2250] eta: 0:22:22 lr: 0.000005 loss: 0.0093 (0.0112) loss_classifier: 0.0089 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0016 max mem: 8505
  572. Epoch: [9] [ 700/2250] eta: 0:22:13 lr: 0.000005 loss: 0.0107 (0.0112) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8562 data: 0.0018 max mem: 8505
  573. Epoch: [9] [ 710/2250] eta: 0:22:05 lr: 0.000005 loss: 0.0133 (0.0112) loss_classifier: 0.0126 (0.0106) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8571 data: 0.0019 max mem: 8505
  574. Epoch: [9] [ 720/2250] eta: 0:21:56 lr: 0.000005 loss: 0.0118 (0.0113) loss_classifier: 0.0111 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8576 data: 0.0017 max mem: 8505
  575. Epoch: [9] [ 730/2250] eta: 0:21:47 lr: 0.000005 loss: 0.0117 (0.0113) loss_classifier: 0.0111 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0013 max mem: 8505
  576. Epoch: [9] [ 740/2250] eta: 0:21:39 lr: 0.000005 loss: 0.0123 (0.0113) loss_classifier: 0.0114 (0.0107) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8571 data: 0.0021 max mem: 8505
  577. Epoch: [9] [ 750/2250] eta: 0:21:30 lr: 0.000005 loss: 0.0118 (0.0113) loss_classifier: 0.0110 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8572 data: 0.0031 max mem: 8505
  578. Epoch: [9] [ 760/2250] eta: 0:21:21 lr: 0.000005 loss: 0.0106 (0.0113) loss_classifier: 0.0101 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0024 max mem: 8505
  579. Epoch: [9] [ 770/2250] eta: 0:21:13 lr: 0.000005 loss: 0.0100 (0.0113) loss_classifier: 0.0095 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0019 max mem: 8505
  580. Epoch: [9] [ 780/2250] eta: 0:21:04 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0102 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  581. Epoch: [9] [ 790/2250] eta: 0:20:55 lr: 0.000005 loss: 0.0124 (0.0113) loss_classifier: 0.0120 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0019 max mem: 8505
  582. Epoch: [9] [ 800/2250] eta: 0:20:47 lr: 0.000005 loss: 0.0114 (0.0113) loss_classifier: 0.0107 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8582 data: 0.0023 max mem: 8505
  583. Epoch: [9] [ 810/2250] eta: 0:20:38 lr: 0.000005 loss: 0.0111 (0.0113) loss_classifier: 0.0107 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0016 max mem: 8505
  584. Epoch: [9] [ 820/2250] eta: 0:20:29 lr: 0.000005 loss: 0.0115 (0.0113) loss_classifier: 0.0110 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  585. Epoch: [9] [ 830/2250] eta: 0:20:21 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0095 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0035 max mem: 8505
  586. Epoch: [9] [ 840/2250] eta: 0:20:12 lr: 0.000005 loss: 0.0097 (0.0113) loss_classifier: 0.0091 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0019 max mem: 8505
  587. Epoch: [9] [ 850/2250] eta: 0:20:03 lr: 0.000005 loss: 0.0117 (0.0113) loss_classifier: 0.0112 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  588. Epoch: [9] [ 860/2250] eta: 0:19:55 lr: 0.000005 loss: 0.0114 (0.0113) loss_classifier: 0.0110 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0035 max mem: 8505
  589. Epoch: [9] [ 870/2250] eta: 0:19:46 lr: 0.000005 loss: 0.0099 (0.0113) loss_classifier: 0.0091 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0027 max mem: 8505
  590. Epoch: [9] [ 880/2250] eta: 0:19:38 lr: 0.000005 loss: 0.0097 (0.0113) loss_classifier: 0.0093 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0025 max mem: 8505
  591. Epoch: [9] [ 890/2250] eta: 0:19:29 lr: 0.000005 loss: 0.0111 (0.0113) loss_classifier: 0.0106 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0017 max mem: 8505
  592. Epoch: [9] [ 900/2250] eta: 0:19:20 lr: 0.000005 loss: 0.0113 (0.0113) loss_classifier: 0.0109 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0015 max mem: 8505
  593. Epoch: [9] [ 910/2250] eta: 0:19:12 lr: 0.000005 loss: 0.0114 (0.0113) loss_classifier: 0.0109 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0022 max mem: 8505
  594. Epoch: [9] [ 920/2250] eta: 0:19:03 lr: 0.000005 loss: 0.0102 (0.0113) loss_classifier: 0.0095 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0021 max mem: 8505
  595. Epoch: [9] [ 930/2250] eta: 0:18:54 lr: 0.000005 loss: 0.0085 (0.0113) loss_classifier: 0.0078 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8571 data: 0.0032 max mem: 8505
  596. Epoch: [9] [ 940/2250] eta: 0:18:46 lr: 0.000005 loss: 0.0085 (0.0113) loss_classifier: 0.0079 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0034 max mem: 8505
  597. Epoch: [9] [ 950/2250] eta: 0:18:37 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0100 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0037 max mem: 8505
  598. Epoch: [9] [ 960/2250] eta: 0:18:28 lr: 0.000005 loss: 0.0105 (0.0113) loss_classifier: 0.0100 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8578 data: 0.0037 max mem: 8505
  599. Epoch: [9] [ 970/2250] eta: 0:18:20 lr: 0.000005 loss: 0.0103 (0.0113) loss_classifier: 0.0097 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8563 data: 0.0017 max mem: 8505
  600. Epoch: [9] [ 980/2250] eta: 0:18:11 lr: 0.000005 loss: 0.0103 (0.0113) loss_classifier: 0.0089 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  601. Epoch: [9] [ 990/2250] eta: 0:18:03 lr: 0.000005 loss: 0.0096 (0.0113) loss_classifier: 0.0087 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0031 max mem: 8505
  602. Epoch: [9] [1000/2250] eta: 0:17:54 lr: 0.000005 loss: 0.0089 (0.0112) loss_classifier: 0.0083 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0020 max mem: 8505
  603. Epoch: [9] [1010/2250] eta: 0:17:45 lr: 0.000005 loss: 0.0091 (0.0112) loss_classifier: 0.0084 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0016 max mem: 8505
  604. Epoch: [9] [1020/2250] eta: 0:17:37 lr: 0.000005 loss: 0.0098 (0.0112) loss_classifier: 0.0088 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0020 max mem: 8505
  605. Epoch: [9] [1030/2250] eta: 0:17:28 lr: 0.000005 loss: 0.0133 (0.0113) loss_classifier: 0.0123 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  606. Epoch: [9] [1040/2250] eta: 0:17:19 lr: 0.000005 loss: 0.0124 (0.0113) loss_classifier: 0.0119 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0028 max mem: 8505
  607. Epoch: [9] [1050/2250] eta: 0:17:11 lr: 0.000005 loss: 0.0091 (0.0113) loss_classifier: 0.0086 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0020 max mem: 8505
  608. Epoch: [9] [1060/2250] eta: 0:17:02 lr: 0.000005 loss: 0.0098 (0.0112) loss_classifier: 0.0093 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0016 max mem: 8505
  609. Epoch: [9] [1070/2250] eta: 0:16:54 lr: 0.000005 loss: 0.0096 (0.0112) loss_classifier: 0.0088 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  610. Epoch: [9] [1080/2250] eta: 0:16:45 lr: 0.000005 loss: 0.0098 (0.0112) loss_classifier: 0.0091 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  611. Epoch: [9] [1090/2250] eta: 0:16:36 lr: 0.000005 loss: 0.0107 (0.0112) loss_classifier: 0.0105 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0029 max mem: 8505
  612. Epoch: [9] [1100/2250] eta: 0:16:28 lr: 0.000005 loss: 0.0122 (0.0112) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0029 max mem: 8505
  613. Epoch: [9] [1110/2250] eta: 0:16:19 lr: 0.000005 loss: 0.0110 (0.0112) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0032 max mem: 8505
  614. Epoch: [9] [1120/2250] eta: 0:16:10 lr: 0.000005 loss: 0.0103 (0.0112) loss_classifier: 0.0099 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0027 max mem: 8505
  615. Epoch: [9] [1130/2250] eta: 0:16:02 lr: 0.000005 loss: 0.0110 (0.0112) loss_classifier: 0.0104 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8583 data: 0.0018 max mem: 8505
  616. Epoch: [9] [1140/2250] eta: 0:15:53 lr: 0.000005 loss: 0.0114 (0.0112) loss_classifier: 0.0108 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0016 max mem: 8505
  617. Epoch: [9] [1150/2250] eta: 0:15:45 lr: 0.000005 loss: 0.0121 (0.0112) loss_classifier: 0.0111 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0009 max mem: 8505
  618. Epoch: [9] [1160/2250] eta: 0:15:36 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0104 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0018 max mem: 8505
  619. Epoch: [9] [1170/2250] eta: 0:15:27 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0022 max mem: 8505
  620. Epoch: [9] [1180/2250] eta: 0:15:19 lr: 0.000005 loss: 0.0100 (0.0113) loss_classifier: 0.0096 (0.0106) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0014 max mem: 8505
  621. Epoch: [9] [1190/2250] eta: 0:15:10 lr: 0.000005 loss: 0.0104 (0.0113) loss_classifier: 0.0098 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0017 max mem: 8505
  622. Epoch: [9] [1200/2250] eta: 0:15:02 lr: 0.000005 loss: 0.0096 (0.0113) loss_classifier: 0.0090 (0.0106) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0041 max mem: 8505
  623. Epoch: [9] [1210/2250] eta: 0:14:53 lr: 0.000005 loss: 0.0091 (0.0113) loss_classifier: 0.0084 (0.0106) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0045 max mem: 8505
  624. Epoch: [9] [1220/2250] eta: 0:14:44 lr: 0.000005 loss: 0.0088 (0.0112) loss_classifier: 0.0085 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0029 max mem: 8505
  625. Epoch: [9] [1230/2250] eta: 0:14:36 lr: 0.000005 loss: 0.0092 (0.0112) loss_classifier: 0.0078 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0026 max mem: 8505
  626. Epoch: [9] [1240/2250] eta: 0:14:27 lr: 0.000005 loss: 0.0112 (0.0112) loss_classifier: 0.0106 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0034 max mem: 8505
  627. Epoch: [9] [1250/2250] eta: 0:14:19 lr: 0.000005 loss: 0.0119 (0.0113) loss_classifier: 0.0115 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0028 max mem: 8505
  628. Epoch: [9] [1260/2250] eta: 0:14:10 lr: 0.000005 loss: 0.0094 (0.0113) loss_classifier: 0.0089 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0021 max mem: 8505
  629. Epoch: [9] [1270/2250] eta: 0:14:01 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8562 data: 0.0016 max mem: 8505
  630. Epoch: [9] [1280/2250] eta: 0:13:53 lr: 0.000005 loss: 0.0121 (0.0113) loss_classifier: 0.0115 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0016 max mem: 8505
  631. Epoch: [9] [1290/2250] eta: 0:13:44 lr: 0.000005 loss: 0.0104 (0.0113) loss_classifier: 0.0098 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0016 max mem: 8505
  632. Epoch: [9] [1300/2250] eta: 0:13:36 lr: 0.000005 loss: 0.0102 (0.0113) loss_classifier: 0.0094 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0008 max mem: 8505
  633. Epoch: [9] [1310/2250] eta: 0:13:27 lr: 0.000005 loss: 0.0112 (0.0113) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0016 max mem: 8505
  634. Epoch: [9] [1320/2250] eta: 0:13:18 lr: 0.000005 loss: 0.0120 (0.0113) loss_classifier: 0.0111 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0016 max mem: 8505
  635. Epoch: [9] [1330/2250] eta: 0:13:10 lr: 0.000005 loss: 0.0119 (0.0113) loss_classifier: 0.0116 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0016 max mem: 8505
  636. Epoch: [9] [1340/2250] eta: 0:13:01 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0025 max mem: 8505
  637. Epoch: [9] [1350/2250] eta: 0:12:53 lr: 0.000005 loss: 0.0106 (0.0113) loss_classifier: 0.0096 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8579 data: 0.0025 max mem: 8505
  638. Epoch: [9] [1360/2250] eta: 0:12:44 lr: 0.000005 loss: 0.0090 (0.0113) loss_classifier: 0.0082 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8578 data: 0.0011 max mem: 8505
  639. Epoch: [9] [1370/2250] eta: 0:12:35 lr: 0.000005 loss: 0.0090 (0.0113) loss_classifier: 0.0081 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8577 data: 0.0027 max mem: 8505
  640. Epoch: [9] [1380/2250] eta: 0:12:27 lr: 0.000005 loss: 0.0085 (0.0113) loss_classifier: 0.0078 (0.0106) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8577 data: 0.0039 max mem: 8505
  641. Epoch: [9] [1390/2250] eta: 0:12:18 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0098 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0035 max mem: 8505
  642. Epoch: [9] [1400/2250] eta: 0:12:10 lr: 0.000005 loss: 0.0116 (0.0113) loss_classifier: 0.0110 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0035 max mem: 8505
  643. Epoch: [9] [1410/2250] eta: 0:12:01 lr: 0.000005 loss: 0.0121 (0.0113) loss_classifier: 0.0112 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0018 max mem: 8505
  644. Epoch: [9] [1420/2250] eta: 0:11:52 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0104 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8576 data: 0.0018 max mem: 8505
  645. Epoch: [9] [1430/2250] eta: 0:11:44 lr: 0.000005 loss: 0.0103 (0.0113) loss_classifier: 0.0097 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0023 max mem: 8505
  646. Epoch: [9] [1440/2250] eta: 0:11:35 lr: 0.000005 loss: 0.0104 (0.0113) loss_classifier: 0.0098 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0020 max mem: 8505
  647. Epoch: [9] [1450/2250] eta: 0:11:27 lr: 0.000005 loss: 0.0113 (0.0113) loss_classifier: 0.0108 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  648. Epoch: [9] [1460/2250] eta: 0:11:18 lr: 0.000005 loss: 0.0116 (0.0113) loss_classifier: 0.0109 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0019 max mem: 8505
  649. Epoch: [9] [1470/2250] eta: 0:11:09 lr: 0.000005 loss: 0.0111 (0.0113) loss_classifier: 0.0107 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0019 max mem: 8505
  650. Epoch: [9] [1480/2250] eta: 0:11:01 lr: 0.000005 loss: 0.0111 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0031 max mem: 8505
  651. Epoch: [9] [1490/2250] eta: 0:10:52 lr: 0.000005 loss: 0.0114 (0.0113) loss_classifier: 0.0107 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8565 data: 0.0031 max mem: 8505
  652. Epoch: [9] [1500/2250] eta: 0:10:44 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0024 max mem: 8505
  653. Epoch: [9] [1510/2250] eta: 0:10:35 lr: 0.000005 loss: 0.0099 (0.0113) loss_classifier: 0.0094 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0031 max mem: 8505
  654. Epoch: [9] [1520/2250] eta: 0:10:26 lr: 0.000005 loss: 0.0113 (0.0113) loss_classifier: 0.0109 (0.0106) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0024 max mem: 8505
  655. Epoch: [9] [1530/2250] eta: 0:10:18 lr: 0.000005 loss: 0.0116 (0.0113) loss_classifier: 0.0111 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0024 max mem: 8505
  656. Epoch: [9] [1540/2250] eta: 0:10:09 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8560 data: 0.0023 max mem: 8505
  657. Epoch: [9] [1550/2250] eta: 0:10:01 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0023 max mem: 8505
  658. Epoch: [9] [1560/2250] eta: 0:09:52 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0106 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0039 max mem: 8505
  659. Epoch: [9] [1570/2250] eta: 0:09:43 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0106 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8562 data: 0.0031 max mem: 8505
  660. Epoch: [9] [1580/2250] eta: 0:09:35 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0098 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8570 data: 0.0023 max mem: 8505
  661. Epoch: [9] [1590/2250] eta: 0:09:26 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0098 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8579 data: 0.0023 max mem: 8505
  662. Epoch: [9] [1600/2250] eta: 0:09:18 lr: 0.000005 loss: 0.0100 (0.0113) loss_classifier: 0.0093 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0027 max mem: 8505
  663. Epoch: [9] [1610/2250] eta: 0:09:09 lr: 0.000005 loss: 0.0115 (0.0113) loss_classifier: 0.0110 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8563 data: 0.0035 max mem: 8505
  664. Epoch: [9] [1620/2250] eta: 0:09:00 lr: 0.000005 loss: 0.0102 (0.0113) loss_classifier: 0.0096 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0031 max mem: 8505
  665. Epoch: [9] [1630/2250] eta: 0:08:52 lr: 0.000005 loss: 0.0091 (0.0113) loss_classifier: 0.0086 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8570 data: 0.0023 max mem: 8505
  666. Epoch: [9] [1640/2250] eta: 0:08:43 lr: 0.000005 loss: 0.0092 (0.0113) loss_classifier: 0.0085 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0019 max mem: 8505
  667. Epoch: [9] [1650/2250] eta: 0:08:35 lr: 0.000005 loss: 0.0095 (0.0113) loss_classifier: 0.0090 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0027 max mem: 8505
  668. Epoch: [9] [1660/2250] eta: 0:08:26 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0020 max mem: 8505
  669. Epoch: [9] [1670/2250] eta: 0:08:17 lr: 0.000005 loss: 0.0121 (0.0113) loss_classifier: 0.0114 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0013 max mem: 8505
  670. Epoch: [9] [1680/2250] eta: 0:08:09 lr: 0.000005 loss: 0.0120 (0.0113) loss_classifier: 0.0113 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0020 max mem: 8505
  671. Epoch: [9] [1690/2250] eta: 0:08:00 lr: 0.000005 loss: 0.0117 (0.0113) loss_classifier: 0.0112 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8572 data: 0.0020 max mem: 8505
  672. Epoch: [9] [1700/2250] eta: 0:07:52 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8570 data: 0.0016 max mem: 8505
  673. Epoch: [9] [1710/2250] eta: 0:07:43 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0097 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0025 max mem: 8505
  674. Epoch: [9] [1720/2250] eta: 0:07:35 lr: 0.000005 loss: 0.0115 (0.0113) loss_classifier: 0.0106 (0.0106) loss_box_reg: 0.0004 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0025 max mem: 8505
  675. Epoch: [9] [1730/2250] eta: 0:07:26 lr: 0.000005 loss: 0.0112 (0.0113) loss_classifier: 0.0107 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0022 max mem: 8505
  676. Epoch: [9] [1740/2250] eta: 0:07:17 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0101 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0029 max mem: 8505
  677. Epoch: [9] [1750/2250] eta: 0:07:09 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0101 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0022 max mem: 8505
  678. Epoch: [9] [1760/2250] eta: 0:07:00 lr: 0.000005 loss: 0.0111 (0.0113) loss_classifier: 0.0101 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0014 max mem: 8505
  679. Epoch: [9] [1770/2250] eta: 0:06:52 lr: 0.000005 loss: 0.0104 (0.0113) loss_classifier: 0.0099 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0008 max mem: 8505
  680. Epoch: [9] [1780/2250] eta: 0:06:43 lr: 0.000005 loss: 0.0098 (0.0113) loss_classifier: 0.0091 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8578 data: 0.0023 max mem: 8505
  681. Epoch: [9] [1790/2250] eta: 0:06:34 lr: 0.000005 loss: 0.0095 (0.0113) loss_classifier: 0.0091 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0031 max mem: 8505
  682. Epoch: [9] [1800/2250] eta: 0:06:26 lr: 0.000005 loss: 0.0112 (0.0113) loss_classifier: 0.0108 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0019 max mem: 8505
  683. Epoch: [9] [1810/2250] eta: 0:06:17 lr: 0.000005 loss: 0.0120 (0.0113) loss_classifier: 0.0117 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8576 data: 0.0019 max mem: 8505
  684. Epoch: [9] [1820/2250] eta: 0:06:09 lr: 0.000005 loss: 0.0120 (0.0113) loss_classifier: 0.0117 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8568 data: 0.0016 max mem: 8505
  685. Epoch: [9] [1830/2250] eta: 0:06:00 lr: 0.000005 loss: 0.0112 (0.0113) loss_classifier: 0.0106 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0016 max mem: 8505
  686. Epoch: [9] [1840/2250] eta: 0:05:51 lr: 0.000005 loss: 0.0097 (0.0113) loss_classifier: 0.0091 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0013 max mem: 8505
  687. Epoch: [9] [1850/2250] eta: 0:05:43 lr: 0.000005 loss: 0.0090 (0.0113) loss_classifier: 0.0083 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0020 max mem: 8505
  688. Epoch: [9] [1860/2250] eta: 0:05:34 lr: 0.000005 loss: 0.0106 (0.0113) loss_classifier: 0.0100 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8582 data: 0.0025 max mem: 8505
  689. Epoch: [9] [1870/2250] eta: 0:05:26 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0102 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0009 max mem: 8505
  690. Epoch: [9] [1880/2250] eta: 0:05:17 lr: 0.000005 loss: 0.0095 (0.0113) loss_classifier: 0.0091 (0.0106) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8559 data: 0.0008 max mem: 8505
  691. Epoch: [9] [1890/2250] eta: 0:05:09 lr: 0.000005 loss: 0.0106 (0.0113) loss_classifier: 0.0099 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8559 data: 0.0016 max mem: 8505
  692. Epoch: [9] [1900/2250] eta: 0:05:00 lr: 0.000005 loss: 0.0120 (0.0113) loss_classifier: 0.0115 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0015 max mem: 8505
  693. Epoch: [9] [1910/2250] eta: 0:04:51 lr: 0.000005 loss: 0.0102 (0.0113) loss_classifier: 0.0097 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0023 max mem: 8505
  694. Epoch: [9] [1920/2250] eta: 0:04:43 lr: 0.000005 loss: 0.0104 (0.0113) loss_classifier: 0.0097 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0031 max mem: 8505
  695. Epoch: [9] [1930/2250] eta: 0:04:34 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8559 data: 0.0021 max mem: 8505
  696. Epoch: [9] [1940/2250] eta: 0:04:26 lr: 0.000005 loss: 0.0090 (0.0113) loss_classifier: 0.0080 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8559 data: 0.0022 max mem: 8505
  697. Epoch: [9] [1950/2250] eta: 0:04:17 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0099 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8558 data: 0.0018 max mem: 8505
  698. Epoch: [9] [1960/2250] eta: 0:04:08 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0099 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8565 data: 0.0017 max mem: 8505
  699. Epoch: [9] [1970/2250] eta: 0:04:00 lr: 0.000005 loss: 0.0099 (0.0113) loss_classifier: 0.0096 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0025 max mem: 8505
  700. Epoch: [9] [1980/2250] eta: 0:03:51 lr: 0.000005 loss: 0.0117 (0.0113) loss_classifier: 0.0113 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0025 max mem: 8505
  701. Epoch: [9] [1990/2250] eta: 0:03:43 lr: 0.000005 loss: 0.0118 (0.0113) loss_classifier: 0.0114 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0023 max mem: 8505
  702. Epoch: [9] [2000/2250] eta: 0:03:34 lr: 0.000005 loss: 0.0132 (0.0113) loss_classifier: 0.0125 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0020 max mem: 8505
  703. Epoch: [9] [2010/2250] eta: 0:03:25 lr: 0.000005 loss: 0.0122 (0.0113) loss_classifier: 0.0114 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8576 data: 0.0030 max mem: 8505
  704. Epoch: [9] [2020/2250] eta: 0:03:17 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0105 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8580 data: 0.0025 max mem: 8505
  705. Epoch: [9] [2030/2250] eta: 0:03:08 lr: 0.000005 loss: 0.0111 (0.0113) loss_classifier: 0.0103 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0022 max mem: 8505
  706. Epoch: [9] [2040/2250] eta: 0:03:00 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0097 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0031 max mem: 8505
  707. Epoch: [9] [2050/2250] eta: 0:02:51 lr: 0.000005 loss: 0.0098 (0.0113) loss_classifier: 0.0093 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0017 max mem: 8505
  708. Epoch: [9] [2060/2250] eta: 0:02:43 lr: 0.000005 loss: 0.0114 (0.0113) loss_classifier: 0.0107 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0007 max mem: 8505
  709. Epoch: [9] [2070/2250] eta: 0:02:34 lr: 0.000005 loss: 0.0112 (0.0113) loss_classifier: 0.0106 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0007 max mem: 8505
  710. Epoch: [9] [2080/2250] eta: 0:02:25 lr: 0.000005 loss: 0.0098 (0.0113) loss_classifier: 0.0091 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8565 data: 0.0008 max mem: 8505
  711. Epoch: [9] [2090/2250] eta: 0:02:17 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0101 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8572 data: 0.0024 max mem: 8505
  712. Epoch: [9] [2100/2250] eta: 0:02:08 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0104 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0024 max mem: 8505
  713. Epoch: [9] [2110/2250] eta: 0:02:00 lr: 0.000005 loss: 0.0103 (0.0113) loss_classifier: 0.0099 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8565 data: 0.0017 max mem: 8505
  714. Epoch: [9] [2120/2250] eta: 0:01:51 lr: 0.000005 loss: 0.0113 (0.0113) loss_classifier: 0.0110 (0.0107) loss_box_reg: 0.0002 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0026 max mem: 8505
  715. Epoch: [9] [2130/2250] eta: 0:01:42 lr: 0.000005 loss: 0.0107 (0.0113) loss_classifier: 0.0102 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8569 data: 0.0026 max mem: 8505
  716. Epoch: [9] [2140/2250] eta: 0:01:34 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0095 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0022 max mem: 8505
  717. Epoch: [9] [2150/2250] eta: 0:01:25 lr: 0.000005 loss: 0.0101 (0.0113) loss_classifier: 0.0095 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8572 data: 0.0023 max mem: 8505
  718. Epoch: [9] [2160/2250] eta: 0:01:17 lr: 0.000005 loss: 0.0108 (0.0113) loss_classifier: 0.0102 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0017 max mem: 8505
  719. Epoch: [9] [2170/2250] eta: 0:01:08 lr: 0.000005 loss: 0.0097 (0.0113) loss_classifier: 0.0093 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0014 max mem: 8505
  720. Epoch: [9] [2180/2250] eta: 0:01:00 lr: 0.000005 loss: 0.0097 (0.0113) loss_classifier: 0.0093 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8573 data: 0.0026 max mem: 8505
  721. Epoch: [9] [2190/2250] eta: 0:00:51 lr: 0.000005 loss: 0.0103 (0.0113) loss_classifier: 0.0095 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8566 data: 0.0027 max mem: 8505
  722. Epoch: [9] [2200/2250] eta: 0:00:42 lr: 0.000005 loss: 0.0110 (0.0113) loss_classifier: 0.0103 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  723. Epoch: [9] [2210/2250] eta: 0:00:34 lr: 0.000005 loss: 0.0109 (0.0113) loss_classifier: 0.0098 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0030 max mem: 8505
  724. Epoch: [9] [2220/2250] eta: 0:00:25 lr: 0.000005 loss: 0.0103 (0.0113) loss_classifier: 0.0097 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8575 data: 0.0023 max mem: 8505
  725. Epoch: [9] [2230/2250] eta: 0:00:17 lr: 0.000005 loss: 0.0106 (0.0113) loss_classifier: 0.0100 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0017 max mem: 8505
  726. Epoch: [9] [2240/2250] eta: 0:00:08 lr: 0.000005 loss: 0.0105 (0.0113) loss_classifier: 0.0099 (0.0107) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0000 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8574 data: 0.0023 max mem: 8505
  727. Epoch: [9] [2249/2250] eta: 0:00:00 lr: 0.000005 loss: 0.0109 (0.0113) loss_classifier: 0.0105 (0.0106) loss_box_reg: 0.0003 (0.0003) loss_mask: 0.0000 (0.0001) loss_objectness: 0.0001 (0.0001) loss_rpn_box_reg: 0.0001 (0.0001) time: 0.8567 data: 0.0023 max mem: 8505
  728. Epoch: [9] Total time: 0:32:11 (0.8583 s / it)
  729. creating index...
  730. index created!
  731. Test: [ 0/250] eta: 0:04:54 model_time: 0.5473 (0.5473) evaluator_time: 0.0000 (0.0000) time: 1.1767 data: 0.6294 max mem: 8505
  732. Test: [100/250] eta: 0:00:52 model_time: 0.3293 (0.3297) evaluator_time: 0.0156 (0.0096) time: 0.3396 data: 0.0007 max mem: 8505
  733. Test: [200/250] eta: 0:00:17 model_time: 0.3293 (0.3285) evaluator_time: 0.0125 (0.0093) time: 0.3420 data: 0.0040 max mem: 8505
  734. Test: [249/250] eta: 0:00:00 model_time: 0.3293 (0.3284) evaluator_time: 0.0155 (0.0093) time: 0.3388 data: 0.0000 max mem: 8505
  735. Test: Total time: 0:01:25 (0.3435 s / it)
  736. Averaged stats: model_time: 0.3293 (0.3284) evaluator_time: 0.0155 (0.0093)
  737. Accumulating evaluation results...
  738. DONE (t=0.13s).
  739. Accumulating evaluation results...
  740. DONE (t=0.11s).
  741. IoU metric: bbox
  742. Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.887
  743. Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.887
  744. Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.887
  745. Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.887
  746. Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  747. Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  748. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 1.000
  749. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 1.000
  750. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 1.000
  751. Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 1.000
  752. Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  753. Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  754. IoU metric: segm
  755. Average Precision (AP) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.795
  756. Average Precision (AP) @[ IoU=0.50 | area= all | maxDets=100 ] = 0.887
  757. Average Precision (AP) @[ IoU=0.75 | area= all | maxDets=100 ] = 0.887
  758. Average Precision (AP) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.795
  759. Average Precision (AP) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  760. Average Precision (AP) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  761. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 1 ] = 0.900
  762. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets= 10 ] = 0.900
  763. Average Recall (AR) @[ IoU=0.50:0.95 | area= all | maxDets=100 ] = 0.900
  764. Average Recall (AR) @[ IoU=0.50:0.95 | area= small | maxDets=100 ] = 0.900
  765. Average Recall (AR) @[ IoU=0.50:0.95 | area=medium | maxDets=100 ] = -1.000
  766. Average Recall (AR) @[ IoU=0.50:0.95 | area= large | maxDets=100 ] = -1.000
  767.  
  768. Process finished with exit code 0
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!