2021-07-20 22:37:33 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 30ms/step - batch_cost: 0.0290 - reader cost: 8.5472e-0 2021-07-20 22:37:38 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:37:38 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:37:38 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:37:40 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:38:36 [INFO] [TRAIN] epoch: 7, iter: 1300/90000, loss: 0.1503, lr: 0.001296, batch_cost: 0.5659, reader_cost: 0.14579, ips: 7.0680 samples/sec | ETA 13:56:38 2021-07-20 22:39:33 [INFO] [TRAIN] epoch: 8, iter: 1400/90000, loss: 0.1503, lr: 0.001265, batch_cost: 0.5714, reader_cost: 0.15179, ips: 7.0003 samples/sec | ETA 14:03:46 2021-07-20 22:39:33 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 29ms/step - batch_cost: 0.0289 - reader cost: 0.001 2021-07-20 22:39:39 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:39:39 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:39:39 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:39:40 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:40:37 [INFO] [TRAIN] epoch: 8, iter: 1500/90000, loss: 0.1503, lr: 0.001232, batch_cost: 0.5626, reader_cost: 0.14186, ips: 7.1095 samples/sec | ETA 13:49:52 2021-07-20 22:41:34 [INFO] [TRAIN] epoch: 9, iter: 1600/90000, loss: 0.1502, lr: 0.001198, batch_cost: 0.5747, reader_cost: 0.15520, ips: 6.9602 samples/sec | ETA 14:06:43 2021-07-20 22:41:34 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 199/200 [============================>.] - ETA: 0s - batch_cost: 0.0289 - reader cost: 4.5595e- 200/200 [==============================] - 6s 29ms/step - batch_cost: 0.0289 - reader cost: 4.5403e-04 2021-07-20 22:41:40 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:41:40 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:41:40 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:41:41 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:42:38 [INFO] [TRAIN] epoch: 9, iter: 1700/90000, loss: 0.1502, lr: 0.001162, batch_cost: 0.5645, reader_cost: 0.14358, ips: 7.0855 samples/sec | ETA 13:50:47 2021-07-20 22:43:35 [INFO] [TRAIN] epoch: 10, iter: 1800/90000, loss: 0.1502, lr: 0.001125, batch_cost: 0.5727, reader_cost: 0.15287, ips: 6.9850 samples/sec | ETA 14:01:47 2021-07-20 22:43:35 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 30ms/step - batch_cost: 0.0292 - reader cost: 0.00 2021-07-20 22:43:41 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:43:41 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:43:41 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:43:42 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:44:39 [INFO] [TRAIN] epoch: 10, iter: 1900/90000, loss: 0.1502, lr: 0.001087, batch_cost: 0.5675, reader_cost: 0.14556, ips: 7.0482 samples/sec | ETA 13:53:18 2021-07-20 22:45:36 [INFO] [TRAIN] epoch: 11, iter: 2000/90000, loss: 0.1502, lr: 0.001047, batch_cost: 0.5734, reader_cost: 0.15504, ips: 6.9765 samples/sec | ETA 14:00:55 2021-07-20 22:45:36 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 30ms/step - batch_cost: 0.0296 - reader cost: 0.003 2021-07-20 22:45:42 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:45:42 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:45:42 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:45:43 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:46:40 [INFO] [TRAIN] epoch: 11, iter: 2100/90000, loss: 0.1502, lr: 0.001007, batch_cost: 0.5660, reader_cost: 0.14563, ips: 7.0669 samples/sec | ETA 13:49:13 2021-07-20 22:47:37 [INFO] [TRAIN] epoch: 12, iter: 2200/90000, loss: 0.1502, lr: 0.000966, batch_cost: 0.5729, reader_cost: 0.15213, ips: 6.9824 samples/sec | ETA 13:58:17 2021-07-20 22:47:37 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 29ms/step - batch_cost: 0.0289 - reader cost: 6.5164e-0 2021-07-20 22:47:43 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:47:43 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:47:43 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:47:44 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:48:41 [INFO] [TRAIN] epoch: 12, iter: 2300/90000, loss: 0.1502, lr: 0.000923, batch_cost: 0.5712, reader_cost: 0.14995, ips: 7.0029 samples/sec | ETA 13:54:53 2021-07-20 22:49:39 [INFO] [TRAIN] epoch: 13, iter: 2400/90000, loss: 0.1502, lr: 0.000881, batch_cost: 0.5751, reader_cost: 0.15460, ips: 6.9548 samples/sec | ETA 13:59:42 2021-07-20 22:49:39 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 31ms/step - batch_cost: 0.0304 - reader cost: 0.00 2021-07-20 22:49:45 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:49:45 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:49:45 [INFO] [EVAL] Class Acc: [1. 0.] 2021-07-20 22:49:46 [INFO] [EVAL] The model with the best validation mIoU (0.5000) was saved at iter 200. 2021-07-20 22:50:43 [INFO] [TRAIN] epoch: 13, iter: 2500/90000, loss: 0.1502, lr: 0.000838, batch_cost: 0.5647, reader_cost: 0.14532, ips: 7.0840 samples/sec | ETA 13:43:27 2021-07-20 22:51:40 [INFO] [TRAIN] epoch: 14, iter: 2600/90000, loss: 0.1502, lr: 0.000794, batch_cost: 0.5714, reader_cost: 0.15080, ips: 7.0008 samples/sec | ETA 13:52:17 2021-07-20 22:51:40 [INFO] Start evaluating (total_samples: 200, total_iters: 200)... 200/200 [==============================] - 6s 30ms/step - batch_cost: 0.0291 - reader cost: 5.8694e-0 2021-07-20 22:51:46 [INFO] [EVAL] #Images: 200 mIoU: 0.5000 Acc: 1.0000 Kappa: nan 2021-07-20 22:51:46 [INFO] [EVAL] Class IoU: [1. 0.] 2021-07-20 22:51:46 [INFO] [EVAL] Class Acc: [1. [0.]]
5条答案
按热度按时间pbgvytdp1#
您好，我们已经收到了您的问题，会安排技术人员尽快解答您的问题，请耐心等待。请您再次检查是否提供了清晰的问题描述、复现代码、环境&版本、报错信息等。同时，您也可以通过查看官网API文档、常见问题、历史Issue、AI社区来寻求解答。祝您生活愉快～
Hi! We've received your issue and please be patient to get responded. We will arrange technicians to answer your questions as soon as possible. Please make sure that you have posted enough message to demo your request. You may also check out the API，FAQ，Github Issue and AI community to get the answer.Have a nice day!
qfe3c7zg2#
你用的是哪里的例子？自己组网？能否把上下文说的稍微清楚些？
g52tjvyc3#
我也想说清楚啊，放截图啥的老说我违规，不让发。尴尬 | | yuandongbo | |***@***.***| 签名由网易邮箱大师定制 在2021年7月25日***@***.***> 写道： 你用的是哪里的例子？自己网？能否把上下文说的稍微清楚些？ — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
mi7gmzs64#
谢谢已解决，在飞将官方论坛解决方案 | | yuandongbo | |***@***.***| 签名由网易邮箱大师定制 在2021年7月25日***@***.***> 写道： 你用的是哪里的例子？自己网？能否把上下文说的稍微清楚些？ — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.
8oomwypt5#
已解决谢谢 | | yuandongbo | |***@***.***| 签名由网易邮箱大师定制 在2021年7月20日***@***.***> 写道： 您好，我们已经收到了您的问题，会安排技术人员尽快解答您的问题，请耐心等待。请您再次检查是否提供了清晰的问题描述、复现代码、环境&版本、报错信息等。同时，您也可以通过查看官网API文档、常见问题、历史Issue、AI社区来寻求解答。祝您生活愉快～ Hi! We've received your issue and please be patient to get responded. We will arrange technicians to answer your questions as soon as possible. Please make sure that you have posted enough message to demo your request. You may also check out the API，FAQ，Github Issue and AI community to get the answer.Have a nice day! — You are receiving this because you authored the thread. Reply to this email directly, view it on GitHub, or unsubscribe.