{"action":"opened","issue":{"url":"https://api.github.com/repos/yangxue0827/FPN_Tensorflow/issues/49","repository_url":"https://api.github.com/repos/yangxue0827/FPN_Tensorflow","labels_url":"https://api.github.com/repos/yangxue0827/FPN_Tensorflow/issues/49/labels{/name}","comments_url":"https://api.github.com/repos/yangxue0827/FPN_Tensorflow/issues/49/comments","events_url":"https://api.github.com/repos/yangxue0827/FPN_Tensorflow/issues/49/events","html_url":"https://github.com/yangxue0827/FPN_Tensorflow/issues/49","id":386641622,"node_id":"MDU6SXNzdWUzODY2NDE2MjI=","number":49,"title":"Results are not good for dota dataset","user":{"login":"heiyuxiaokai","id":27018045,"node_id":"MDQ6VXNlcjI3MDE4MDQ1","avatar_url":"https://avatars0.githubusercontent.com/u/27018045?v=4","gravatar_id":"","url":"https://api.github.com/users/heiyuxiaokai","html_url":"https://github.com/heiyuxiaokai","followers_url":"https://api.github.com/users/heiyuxiaokai/followers","following_url":"https://api.github.com/users/heiyuxiaokai/following{/other_user}","gists_url":"https://api.github.com/users/heiyuxiaokai/gists{/gist_id}","starred_url":"https://api.github.com/users/heiyuxiaokai/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/heiyuxiaokai/subscriptions","organizations_url":"https://api.github.com/users/heiyuxiaokai/orgs","repos_url":"https://api.github.com/users/heiyuxiaokai/repos","events_url":"https://api.github.com/users/heiyuxiaokai/events{/privacy}","received_events_url":"https://api.github.com/users/heiyuxiaokai/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-03T03:06:30Z","updated_at":"2018-12-03T03:06:30Z","closed_at":null,"author_association":"NONE","body":"The dataset is dota of whu\r\nThese images are cropped into (1200 x 1200) by step 900, about 8000 images.\r\n1.The total mAP is about 0.38 when the global step is 80000, and some classes can not be detected, such as basketball_court, ground_track_field, soccer_ball_field\r\n2.Total loss is declining from 8 to 0.4 when the global step is 260000. But the mAP is 0.34 and some classes that can be detected in step 80000 can not be detected in step 260000.\r\nI do some changes in the train.py for multi_gpus_train, and I have met the same problem when I use the origin code of one gpu."}}
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