{"action":"created","issue":{"url":"https://api.github.com/repos/ultralytics/yolov3/issues/6","repository_url":"https://api.github.com/repos/ultralytics/yolov3","labels_url":"https://api.github.com/repos/ultralytics/yolov3/issues/6/labels{/name}","comments_url":"https://api.github.com/repos/ultralytics/yolov3/issues/6/comments","events_url":"https://api.github.com/repos/ultralytics/yolov3/issues/6/events","html_url":"https://github.com/ultralytics/yolov3/issues/6","id":357416466,"node_id":"MDU6SXNzdWUzNTc0MTY0NjY=","number":6,"title":"Pretrained Convolutional Weights from darknet53","user":{"login":"okanlv","id":29547397,"node_id":"MDQ6VXNlcjI5NTQ3Mzk3","avatar_url":"https://avatars2.githubusercontent.com/u/29547397?v=4","gravatar_id":"","url":"https://api.github.com/users/okanlv","html_url":"https://github.com/okanlv","followers_url":"https://api.github.com/users/okanlv/followers","following_url":"https://api.github.com/users/okanlv/following{/other_user}","gists_url":"https://api.github.com/users/okanlv/gists{/gist_id}","starred_url":"https://api.github.com/users/okanlv/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/okanlv/subscriptions","organizations_url":"https://api.github.com/users/okanlv/orgs","repos_url":"https://api.github.com/users/okanlv/repos","events_url":"https://api.github.com/users/okanlv/events{/privacy}","received_events_url":"https://api.github.com/users/okanlv/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":9,"created_at":"2018-09-05T21:46:52Z","updated_at":"2018-11-23T21:51:21Z","closed_at":"2018-11-07T08:53:50Z","author_association":"NONE","body":"Thanks for sharing your work. \r\nyolov3 initializes model weights (up to line 549 in [yolov3.cfg](https://github.com/ultralytics/yolov3/blob/master/cfg/yolov3.cfg)) from [darknet53](https://pjreddie.com/media/files/darknet53.conv.74) classifier if I am not mistaken. Your model might not converge at epoch 160 if that is the case. Have you tried initializing yolov3 with darknet53?"},"comment":{"url":"https://api.github.com/repos/ultralytics/yolov3/issues/comments/441321952","html_url":"https://github.com/ultralytics/yolov3/issues/6#issuecomment-441321952","issue_url":"https://api.github.com/repos/ultralytics/yolov3/issues/6","id":441321952,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0MTMyMTk1Mg==","user":{"login":"glenn-jocher","id":26833433,"node_id":"MDQ6VXNlcjI2ODMzNDMz","avatar_url":"https://avatars3.githubusercontent.com/u/26833433?v=4","gravatar_id":"","url":"https://api.github.com/users/glenn-jocher","html_url":"https://github.com/glenn-jocher","followers_url":"https://api.github.com/users/glenn-jocher/followers","following_url":"https://api.github.com/users/glenn-jocher/following{/other_user}","gists_url":"https://api.github.com/users/glenn-jocher/gists{/gist_id}","starred_url":"https://api.github.com/users/glenn-jocher/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/glenn-jocher/subscriptions","organizations_url":"https://api.github.com/users/glenn-jocher/orgs","repos_url":"https://api.github.com/users/glenn-jocher/repos","events_url":"https://api.github.com/users/glenn-jocher/events{/privacy}","received_events_url":"https://api.github.com/users/glenn-jocher/received_events","type":"User","site_admin":false},"created_at":"2018-11-23T21:51:21Z","updated_at":"2018-11-23T21:51:21Z","author_association":"CONTRIBUTOR","body":"@BaijuMishra if you uncomment these lines and resume training from the official yolov3 weights then only the 3 yolo layers will train:\r\n\r\nhttps://github.com/ultralytics/yolov3/blob/ab9ee6aa9ad0919761e6e0003b908a3b41218440/train.py#L66-L69"}}
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