{"action":"created","issue":{"url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3/issues/89","repository_url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3","labels_url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3/issues/89/labels{/name}","comments_url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3/issues/89/comments","events_url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3/issues/89/events","html_url":"https://github.com/eriklindernoren/PyTorch-YOLOv3/issues/89","id":375871569,"node_id":"MDU6SXNzdWUzNzU4NzE1Njk=","number":89,"title":"Test and eval are not right! model(x) in eval mode output all nan.","user":{"login":"beckhamchen","id":36159474,"node_id":"MDQ6VXNlcjM2MTU5NDc0","avatar_url":"https://avatars2.githubusercontent.com/u/36159474?v=4","gravatar_id":"","url":"https://api.github.com/users/beckhamchen","html_url":"https://github.com/beckhamchen","followers_url":"https://api.github.com/users/beckhamchen/followers","following_url":"https://api.github.com/users/beckhamchen/following{/other_user}","gists_url":"https://api.github.com/users/beckhamchen/gists{/gist_id}","starred_url":"https://api.github.com/users/beckhamchen/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/beckhamchen/subscriptions","organizations_url":"https://api.github.com/users/beckhamchen/orgs","repos_url":"https://api.github.com/users/beckhamchen/repos","events_url":"https://api.github.com/users/beckhamchen/events{/privacy}","received_events_url":"https://api.github.com/users/beckhamchen/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":1,"created_at":"2018-10-31T09:32:34Z","updated_at":"2018-12-10T15:20:38Z","closed_at":null,"author_association":"NONE","body":"The training stage seems good. But when detect and test, the output of model(x) are all nan even after the first conv layer? Anybody know why?"},"comment":{"url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3/issues/comments/445852974","html_url":"https://github.com/eriklindernoren/PyTorch-YOLOv3/issues/89#issuecomment-445852974","issue_url":"https://api.github.com/repos/eriklindernoren/PyTorch-YOLOv3/issues/89","id":445852974,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NTg1Mjk3NA==","user":{"login":"zwbdmm","id":24357254,"node_id":"MDQ6VXNlcjI0MzU3MjU0","avatar_url":"https://avatars2.githubusercontent.com/u/24357254?v=4","gravatar_id":"","url":"https://api.github.com/users/zwbdmm","html_url":"https://github.com/zwbdmm","followers_url":"https://api.github.com/users/zwbdmm/followers","following_url":"https://api.github.com/users/zwbdmm/following{/other_user}","gists_url":"https://api.github.com/users/zwbdmm/gists{/gist_id}","starred_url":"https://api.github.com/users/zwbdmm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zwbdmm/subscriptions","organizations_url":"https://api.github.com/users/zwbdmm/orgs","repos_url":"https://api.github.com/users/zwbdmm/repos","events_url":"https://api.github.com/users/zwbdmm/events{/privacy}","received_events_url":"https://api.github.com/users/zwbdmm/received_events","type":"User","site_admin":false},"created_at":"2018-12-10T15:20:38Z","updated_at":"2018-12-10T15:20:38Z","author_association":"NONE","body":"I have the same issue, the detect.py doesn't work on the newly trained net. output 0s, through the train stage looks good."}}
{"actor":{"display_login":"zwbdmm"}}