{"action":"created","issue":{"url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16","repository_url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow","labels_url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16/labels{/name}","comments_url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16/comments","events_url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16/events","html_url":"https://github.com/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16","id":388729309,"node_id":"MDU6SXNzdWUzODg3MjkzMDk=","number":16,"title":"训练中损失已经很低，但模型预测很差","user":{"login":"guoguangchao","id":5878481,"node_id":"MDQ6VXNlcjU4Nzg0ODE=","avatar_url":"https://avatars3.githubusercontent.com/u/5878481?v=4","gravatar_id":"","url":"https://api.github.com/users/guoguangchao","html_url":"https://github.com/guoguangchao","followers_url":"https://api.github.com/users/guoguangchao/followers","following_url":"https://api.github.com/users/guoguangchao/following{/other_user}","gists_url":"https://api.github.com/users/guoguangchao/gists{/gist_id}","starred_url":"https://api.github.com/users/guoguangchao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/guoguangchao/subscriptions","organizations_url":"https://api.github.com/users/guoguangchao/orgs","repos_url":"https://api.github.com/users/guoguangchao/repos","events_url":"https://api.github.com/users/guoguangchao/events{/privacy}","received_events_url":"https://api.github.com/users/guoguangchao/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":8,"created_at":"2018-12-07T16:40:56Z","updated_at":"2018-12-13T10:09:15Z","closed_at":null,"author_association":"NONE","body":"训练身份证检测的四个类别，包括name、address、id_num、head，训练了4万步左右，使用训练的模型预测的结果如下：\r\n![1](https://user-images.githubusercontent.com/5878481/49660548-cf460d80-fa81-11e8-9d0d-def8c6576a2b.jpg)\r\n\r\n![3](https://user-images.githubusercontent.com/5878481/49660198-f9e39680-fa80-11e8-8e13-6b47db96151c.jpg)\r\n\r\ntensorboard的输出如下：\r\n\r\n![loss1](https://user-images.githubusercontent.com/5878481/49660144-e0424f00-fa80-11e8-8271-b2709c4e1aa4.png)\r\n![loss2](https://user-images.githubusercontent.com/5878481/49660157-ea644d80-fa80-11e8-8f23-cce40f85c409.png)\r\n![acc](https://user-images.githubusercontent.com/5878481/49660170-f0f2c500-fa80-11e8-8f91-021a4244e75c.png)\r\n![normal](https://user-images.githubusercontent.com/5878481/49660240-0ec02a00-fa81-11e8-8eb5-cd401d6acd48.jpg)\r\n![default](https://user-images.githubusercontent.com/5878481/49660290-28fa0800-fa81-11e8-8a6f-d07630884091.jpg)\r\n请问：\r\n1、tensorboard中的损失已经比较低，而且tensorboard image标签下的图片anchor和ios也正常，为什么预测会差这么多呢？\r\n2、上面最后一张图tensorboard image标签中，发现有的步中image出现了花屏的情况，但我查看训练数据中的图片都是正常的，这个可能是什么原因呢？\r\n谢谢！\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/comments/446912856","html_url":"https://github.com/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16#issuecomment-446912856","issue_url":"https://api.github.com/repos/DetectionTeamUCAS/RRPN_Faster-RCNN_Tensorflow/issues/16","id":446912856,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NjkxMjg1Ng==","user":{"login":"guoguangchao","id":5878481,"node_id":"MDQ6VXNlcjU4Nzg0ODE=","avatar_url":"https://avatars3.githubusercontent.com/u/5878481?v=4","gravatar_id":"","url":"https://api.github.com/users/guoguangchao","html_url":"https://github.com/guoguangchao","followers_url":"https://api.github.com/users/guoguangchao/followers","following_url":"https://api.github.com/users/guoguangchao/following{/other_user}","gists_url":"https://api.github.com/users/guoguangchao/gists{/gist_id}","starred_url":"https://api.github.com/users/guoguangchao/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/guoguangchao/subscriptions","organizations_url":"https://api.github.com/users/guoguangchao/orgs","repos_url":"https://api.github.com/users/guoguangchao/repos","events_url":"https://api.github.com/users/guoguangchao/events{/privacy}","received_events_url":"https://api.github.com/users/guoguangchao/received_events","type":"User","site_admin":false},"created_at":"2018-12-13T10:09:15Z","updated_at":"2018-12-13T10:09:15Z","author_association":"NONE","body":"估计是我哪里弄错了，从这个代码中学到很多，感谢分享！"}}
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