{"action":"created","issue":{"url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch/issues/33","repository_url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch","labels_url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch/issues/33/labels{/name}","comments_url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch/issues/33/comments","events_url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch/issues/33/events","html_url":"https://github.com/kenshohara/3D-ResNets-PyTorch/issues/33","id":299346885,"number":33,"title":"Performance of pretrained weights on UCF101","user":{"login":"MohsenFayyaz89","id":14911583,"avatar_url":"https://avatars0.githubusercontent.com/u/14911583?v=4","gravatar_id":"","url":"https://api.github.com/users/MohsenFayyaz89","html_url":"https://github.com/MohsenFayyaz89","followers_url":"https://api.github.com/users/MohsenFayyaz89/followers","following_url":"https://api.github.com/users/MohsenFayyaz89/following{/other_user}","gists_url":"https://api.github.com/users/MohsenFayyaz89/gists{/gist_id}","starred_url":"https://api.github.com/users/MohsenFayyaz89/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MohsenFayyaz89/subscriptions","organizations_url":"https://api.github.com/users/MohsenFayyaz89/orgs","repos_url":"https://api.github.com/users/MohsenFayyaz89/repos","events_url":"https://api.github.com/users/MohsenFayyaz89/events{/privacy}","received_events_url":"https://api.github.com/users/MohsenFayyaz89/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":7,"created_at":"2018-02-22T13:08:29Z","updated_at":"2018-03-02T02:50:08Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\nNice work! I have a question about your results on UCF101 split 1. I've evaluated your pretrained weight of \"resnext-101-kinetics-ucf101_split1.pth\" on UCF101 split 1 and got the accuracy of ~85.99. I'm wondering if it is the right accuracy or not. Would you please provide the accuracies of the pretrained models?"},"comment":{"url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch/issues/comments/369803956","html_url":"https://github.com/kenshohara/3D-ResNets-PyTorch/issues/33#issuecomment-369803956","issue_url":"https://api.github.com/repos/kenshohara/3D-ResNets-PyTorch/issues/33","id":369803956,"user":{"login":"kenshohara","id":27669915,"avatar_url":"https://avatars0.githubusercontent.com/u/27669915?v=4","gravatar_id":"","url":"https://api.github.com/users/kenshohara","html_url":"https://github.com/kenshohara","followers_url":"https://api.github.com/users/kenshohara/followers","following_url":"https://api.github.com/users/kenshohara/following{/other_user}","gists_url":"https://api.github.com/users/kenshohara/gists{/gist_id}","starred_url":"https://api.github.com/users/kenshohara/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/kenshohara/subscriptions","organizations_url":"https://api.github.com/users/kenshohara/orgs","repos_url":"https://api.github.com/users/kenshohara/repos","events_url":"https://api.github.com/users/kenshohara/events{/privacy}","received_events_url":"https://api.github.com/users/kenshohara/received_events","type":"User","site_admin":false},"created_at":"2018-03-02T02:50:08Z","updated_at":"2018-03-02T02:50:08Z","author_association":"OWNER","body":"I added the evaluation scripts in utils.\r\nTheir usages are the same as official evaluation scripts for activitynet.\r\n\r\n```\r\nkinetics_classification = KINETICSclassification('kinetics.json', 'val.json', subset='validation', top_k=1)\r\nkinetics_classification.evaluate()\r\nprint(kinetics_classification.hit_at_k)\r\n```\r\n\r\n```\r\nucf_classification = UCFclassification('ucf101_01.json', 'val.json', subset='validation', top_k=1)\r\nucf_classification.evaluate()\r\nprint(ucf_classification.hit_at_k)\r\n```"}}
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