{"action":"closed","issue":{"url":"https://api.github.com/repos/okankop/Efficient-3DCNNs/issues/8","repository_url":"https://api.github.com/repos/okankop/Efficient-3DCNNs","labels_url":"https://api.github.com/repos/okankop/Efficient-3DCNNs/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/okankop/Efficient-3DCNNs/issues/8/comments","events_url":"https://api.github.com/repos/okankop/Efficient-3DCNNs/issues/8/events","html_url":"https://github.com/okankop/Efficient-3DCNNs/issues/8","id":513210101,"node_id":"MDU6SXNzdWU1MTMyMTAxMDE=","number":8,"title":"May you provide the pretrain model on UCF101 dataset?","user":{"login":"LYKlyk","id":26019751,"node_id":"MDQ6VXNlcjI2MDE5NzUx","avatar_url":"https://avatars1.githubusercontent.com/u/26019751?v=4","gravatar_id":"","url":"https://api.github.com/users/LYKlyk","html_url":"https://github.com/LYKlyk","followers_url":"https://api.github.com/users/LYKlyk/followers","following_url":"https://api.github.com/users/LYKlyk/following{/other_user}","gists_url":"https://api.github.com/users/LYKlyk/gists{/gist_id}","starred_url":"https://api.github.com/users/LYKlyk/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/LYKlyk/subscriptions","organizations_url":"https://api.github.com/users/LYKlyk/orgs","repos_url":"https://api.github.com/users/LYKlyk/repos","events_url":"https://api.github.com/users/LYKlyk/events{/privacy}","received_events_url":"https://api.github.com/users/LYKlyk/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2019-10-28T10:11:51Z","updated_at":"2020-01-14T20:17:33Z","closed_at":"2020-01-14T20:17:33Z","author_association":"NONE","body":"Thank you for publish source code! I try to train MobileNet_0.5x on UCF101 dataset, but i can not arrive the precision of 62.17 on top 1. I just can arrive the precision of 40% on top 1, so what should i do when i train this model? I have already use the pretrain model which is trained on Kinetics-600."}}
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