{"action":"opened","issue":{"url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1493","repository_url":"https://api.github.com/repos/AlexeyAB/darknet","labels_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1493/labels{/name}","comments_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1493/comments","events_url":"https://api.github.com/repos/AlexeyAB/darknet/issues/1493/events","html_url":"https://github.com/AlexeyAB/darknet/issues/1493","id":354742262,"node_id":"MDU6SXNzdWUzNTQ3NDIyNjI=","number":1493,"title":"target with different aspect ratio","user":{"login":"gzhengli","id":37538696,"node_id":"MDQ6VXNlcjM3NTM4Njk2","avatar_url":"https://avatars1.githubusercontent.com/u/37538696?v=4","gravatar_id":"","url":"https://api.github.com/users/gzhengli","html_url":"https://github.com/gzhengli","followers_url":"https://api.github.com/users/gzhengli/followers","following_url":"https://api.github.com/users/gzhengli/following{/other_user}","gists_url":"https://api.github.com/users/gzhengli/gists{/gist_id}","starred_url":"https://api.github.com/users/gzhengli/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/gzhengli/subscriptions","organizations_url":"https://api.github.com/users/gzhengli/orgs","repos_url":"https://api.github.com/users/gzhengli/repos","events_url":"https://api.github.com/users/gzhengli/events{/privacy}","received_events_url":"https://api.github.com/users/gzhengli/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-08-28T13:53:57Z","updated_at":"2018-08-28T13:53:57Z","closed_at":null,"author_association":"NONE","body":"My detection targets have different aspect ratios, and the gap is relatively large. Does this have an impact on training? Can I get the training results?\r\nI used yolov2-tiny.And the part of the output parameters of Training process as follows:\r\n\r\nRegion Avg IOU: 0.592748, Class: 0.499516, Obj: 0.499963, No Obj: 0.499830, Avg Recall: 1.000000,  count: 3\r\nRegion Avg IOU: 0.539716, Class: 0.499853, Obj: 0.499853, No Obj: 0.499830, Avg Recall: 0.666667,  count: 3\r\nRegion Avg IOU: 0.473441, Class: 0.499845, Obj: 0.499577, No Obj: 0.499832, Avg Recall: 0.666667,  count: 3\r\nRegion Avg IOU: 0.465660, Class: 0.500417, Obj: 0.499944, No Obj: 0.499830, Avg Recall: 0.333333,  count: 3\r\n601: 247.692581, 247.692581 avg, 0.000100 rate, 540.756879 seconds, 57696 images\r\nLoaded: 0.000052 seconds\r\n\r\n\r\nWhat is the possible cause of this result?\r\n"}}
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