{"action":"created","issue":{"url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch/issues/105","repository_url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch","labels_url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch/issues/105/labels{/name}","comments_url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch/issues/105/comments","events_url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch/issues/105/events","html_url":"https://github.com/Tramac/awesome-semantic-segmentation-pytorch/issues/105","id":526553427,"node_id":"MDU6SXNzdWU1MjY1NTM0Mjc=","number":105,"title":"大家有没有遇到用自己数据集训练的时候 损失特别低 所有测试图像的准确率和miou都一模一样？如下所示","user":{"login":"anqin5211314","id":33368718,"node_id":"MDQ6VXNlcjMzMzY4NzE4","avatar_url":"https://avatars3.githubusercontent.com/u/33368718?v=4","gravatar_id":"","url":"https://api.github.com/users/anqin5211314","html_url":"https://github.com/anqin5211314","followers_url":"https://api.github.com/users/anqin5211314/followers","following_url":"https://api.github.com/users/anqin5211314/following{/other_user}","gists_url":"https://api.github.com/users/anqin5211314/gists{/gist_id}","starred_url":"https://api.github.com/users/anqin5211314/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/anqin5211314/subscriptions","organizations_url":"https://api.github.com/users/anqin5211314/orgs","repos_url":"https://api.github.com/users/anqin5211314/repos","events_url":"https://api.github.com/users/anqin5211314/events{/privacy}","received_events_url":"https://api.github.com/users/anqin5211314/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2019-11-21T12:07:00Z","updated_at":"2019-12-16T06:29:33Z","closed_at":null,"author_association":"NONE","body":"2019-11-20 11:16:10,422 semantic_segmentation INFO: Iters: 880/139700 || Lr: 0.000099 || Loss: 0.0033 || Cost Time: 0:06:46 || Estimated Time: 17:46:33\r\n2019-11-20 11:16:15,154 semantic_segmentation INFO: Iters: 890/139700 || Lr: 0.000099 || Loss: 0.0026 || Cost Time: 0:06:50 || Estimated Time: 17:46:48\r\n2019-11-20 11:16:19,786 semantic_segmentation INFO: Iters: 900/139700 || Lr: 0.000099 || Loss: 0.0047 || Cost Time: 0:06:55 || Estimated Time: 17:46:44\r\n2019-11-20 11:16:24,414 semantic_segmentation INFO: Iters: 910/139700 || Lr: 0.000099 || Loss: 0.0116 || Cost Time: 0:07:00 || Estimated Time: 17:46:44\r\n2019-11-20 11:16:49,455 semantic_segmentation INFO: Start validation, Total sample: 114\r\n2019-11-20 11:16:58,204 semantic_segmentation INFO: Sample: 1, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:04,222 semantic_segmentation INFO: Sample: 2, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:04,642 semantic_segmentation INFO: Sample: 3, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:05,219 semantic_segmentation INFO: Sample: 4, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:05,779 semantic_segmentation INFO: Sample: 5, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:06,346 semantic_segmentation INFO: Sample: 6, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:06,908 semantic_segmentation INFO: Sample: 7, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:07,470 semantic_segmentation INFO: Sample: 8, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:08,031 semantic_segmentation INFO: Sample: 9, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:08,584 semantic_segmentation INFO: Sample: 10, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:09,134 semantic_segmentation INFO: Sample: 11, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:09,682 semantic_segmentation INFO: Sample: 12, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:10,076 semantic_segmentation INFO: Sample: 13, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:10,621 semantic_segmentation INFO: Sample: 14, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:11,180 semantic_segmentation INFO: Sample: 15, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:11,576 semantic_segmentation INFO: Sample: 16, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:12,127 semantic_segmentation INFO: Sample: 17, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:12,690 semantic_segmentation INFO: Sample: 18, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:13,259 semantic_segmentation INFO: Sample: 19, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:13,659 semantic_segmentation INFO: Sample: 20, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:14,219 semantic_segmentation INFO: Sample: 21, validation pixAcc: 100.000, mIoU: 50.000\r\n2019-11-20 11:17:14,797 semantic_segmentation INFO: Sample: 22, validation pixAcc: 100.000, mIoU: 50.000"},"comment":{"url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch/issues/comments/565924036","html_url":"https://github.com/Tramac/awesome-semantic-segmentation-pytorch/issues/105#issuecomment-565924036","issue_url":"https://api.github.com/repos/Tramac/awesome-semantic-segmentation-pytorch/issues/105","id":565924036,"node_id":"MDEyOklzc3VlQ29tbWVudDU2NTkyNDAzNg==","user":{"login":"Tramac","id":22740819,"node_id":"MDQ6VXNlcjIyNzQwODE5","avatar_url":"https://avatars0.githubusercontent.com/u/22740819?v=4","gravatar_id":"","url":"https://api.github.com/users/Tramac","html_url":"https://github.com/Tramac","followers_url":"https://api.github.com/users/Tramac/followers","following_url":"https://api.github.com/users/Tramac/following{/other_user}","gists_url":"https://api.github.com/users/Tramac/gists{/gist_id}","starred_url":"https://api.github.com/users/Tramac/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Tramac/subscriptions","organizations_url":"https://api.github.com/users/Tramac/orgs","repos_url":"https://api.github.com/users/Tramac/repos","events_url":"https://api.github.com/users/Tramac/events{/privacy}","received_events_url":"https://api.github.com/users/Tramac/received_events","type":"User","site_admin":false},"created_at":"2019-12-16T06:29:33Z","updated_at":"2019-12-16T06:29:33Z","author_association":"OWNER","body":"Maybe there is something wrong with the label."}}
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