{"action":"created","issue":{"url":"https://api.github.com/repos/experiencor/basic-yolo-keras/issues/190","repository_url":"https://api.github.com/repos/experiencor/basic-yolo-keras","labels_url":"https://api.github.com/repos/experiencor/basic-yolo-keras/issues/190/labels{/name}","comments_url":"https://api.github.com/repos/experiencor/basic-yolo-keras/issues/190/comments","events_url":"https://api.github.com/repos/experiencor/basic-yolo-keras/issues/190/events","html_url":"https://github.com/experiencor/basic-yolo-keras/issues/190","id":306262373,"number":190,"title":"Unable to get bounding box that tightly encloses the object","user":{"login":"prantiksen4","id":8654868,"avatar_url":"https://avatars3.githubusercontent.com/u/8654868?v=4","gravatar_id":"","url":"https://api.github.com/users/prantiksen4","html_url":"https://github.com/prantiksen4","followers_url":"https://api.github.com/users/prantiksen4/followers","following_url":"https://api.github.com/users/prantiksen4/following{/other_user}","gists_url":"https://api.github.com/users/prantiksen4/gists{/gist_id}","starred_url":"https://api.github.com/users/prantiksen4/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/prantiksen4/subscriptions","organizations_url":"https://api.github.com/users/prantiksen4/orgs","repos_url":"https://api.github.com/users/prantiksen4/repos","events_url":"https://api.github.com/users/prantiksen4/events{/privacy}","received_events_url":"https://api.github.com/users/prantiksen4/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-03-18T17:46:37Z","updated_at":"2018-04-08T09:13:15Z","closed_at":null,"author_association":"NONE","body":"Hi, I tried training the full yolo implementation using my own data (I have a good amount of data). Turned out that the bounding box though are decent but they don't tightly enclose the desired object. Any pointers to this will be of great help. My training data has objects at various scales."},"comment":{"url":"https://api.github.com/repos/experiencor/basic-yolo-keras/issues/comments/379534396","html_url":"https://github.com/experiencor/basic-yolo-keras/issues/190#issuecomment-379534396","issue_url":"https://api.github.com/repos/experiencor/basic-yolo-keras/issues/190","id":379534396,"user":{"login":"pratt-datar","id":37379333,"avatar_url":"https://avatars1.githubusercontent.com/u/37379333?v=4","gravatar_id":"","url":"https://api.github.com/users/pratt-datar","html_url":"https://github.com/pratt-datar","followers_url":"https://api.github.com/users/pratt-datar/followers","following_url":"https://api.github.com/users/pratt-datar/following{/other_user}","gists_url":"https://api.github.com/users/pratt-datar/gists{/gist_id}","starred_url":"https://api.github.com/users/pratt-datar/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/pratt-datar/subscriptions","organizations_url":"https://api.github.com/users/pratt-datar/orgs","repos_url":"https://api.github.com/users/pratt-datar/repos","events_url":"https://api.github.com/users/pratt-datar/events{/privacy}","received_events_url":"https://api.github.com/users/pratt-datar/received_events","type":"User","site_admin":false},"created_at":"2018-04-08T09:13:15Z","updated_at":"2018-04-08T09:13:15Z","author_association":"NONE","body":"should we train it again?"}}
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