{"action":"created","issue":{"url":"https://api.github.com/repos/zhenngbolun/S-Net/issues/2","repository_url":"https://api.github.com/repos/zhenngbolun/S-Net","labels_url":"https://api.github.com/repos/zhenngbolun/S-Net/issues/2/labels{/name}","comments_url":"https://api.github.com/repos/zhenngbolun/S-Net/issues/2/comments","events_url":"https://api.github.com/repos/zhenngbolun/S-Net/issues/2/events","html_url":"https://github.com/zhenngbolun/S-Net/issues/2","id":387299016,"node_id":"MDU6SXNzdWUzODcyOTkwMTY=","number":2,"title":"Weight pretrained models","user":{"login":"TheZino","id":24521368,"node_id":"MDQ6VXNlcjI0NTIxMzY4","avatar_url":"https://avatars0.githubusercontent.com/u/24521368?v=4","gravatar_id":"","url":"https://api.github.com/users/TheZino","html_url":"https://github.com/TheZino","followers_url":"https://api.github.com/users/TheZino/followers","following_url":"https://api.github.com/users/TheZino/following{/other_user}","gists_url":"https://api.github.com/users/TheZino/gists{/gist_id}","starred_url":"https://api.github.com/users/TheZino/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TheZino/subscriptions","organizations_url":"https://api.github.com/users/TheZino/orgs","repos_url":"https://api.github.com/users/TheZino/repos","events_url":"https://api.github.com/users/TheZino/events{/privacy}","received_events_url":"https://api.github.com/users/TheZino/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-12-04T13:58:51Z","updated_at":"2018-12-05T01:17:42Z","closed_at":null,"author_association":"NONE","body":"Hi,\r\nI would like to know if it's possible to have the weights of the pretrained model that you used in the publication, to use it directly instead of retraining the network from zero. \r\nThank you in advance."},"comment":{"url":"https://api.github.com/repos/zhenngbolun/S-Net/issues/comments/444321396","html_url":"https://github.com/zhenngbolun/S-Net/issues/2#issuecomment-444321396","issue_url":"https://api.github.com/repos/zhenngbolun/S-Net/issues/2","id":444321396,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0NDMyMTM5Ng==","user":{"login":"zhenngbolun","id":23093479,"node_id":"MDQ6VXNlcjIzMDkzNDc5","avatar_url":"https://avatars0.githubusercontent.com/u/23093479?v=4","gravatar_id":"","url":"https://api.github.com/users/zhenngbolun","html_url":"https://github.com/zhenngbolun","followers_url":"https://api.github.com/users/zhenngbolun/followers","following_url":"https://api.github.com/users/zhenngbolun/following{/other_user}","gists_url":"https://api.github.com/users/zhenngbolun/gists{/gist_id}","starred_url":"https://api.github.com/users/zhenngbolun/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/zhenngbolun/subscriptions","organizations_url":"https://api.github.com/users/zhenngbolun/orgs","repos_url":"https://api.github.com/users/zhenngbolun/repos","events_url":"https://api.github.com/users/zhenngbolun/events{/privacy}","received_events_url":"https://api.github.com/users/zhenngbolun/received_events","type":"User","site_admin":false},"created_at":"2018-12-05T01:17:42Z","updated_at":"2018-12-05T01:17:42Z","author_association":"OWNER","body":"the pretrained models are in LAN and I don’t have permissions to download LAN files. It’s convenient to get the final model. I took 2-3days to get the relatively converged model on single core of k80 gpu. If you have better gpus，the train procedure will be shorten a lot！\n\n\n\n\n郑博仑\n浙江大学2010级\n竺可桢学院混合班\n生物医学工程与仪器科学院电子信息技术及仪器 \n======================================================\nBolun Zheng\nZhejiang University 2010\nChu Kochen Honors CollegeMixed-Class\nCollege of Biomedical Engineering & Instrument ScienceElectronic and Information Technology and Instrument Science\n\n\nOn 12/04/2018 22:58, Simone Zini wrote:\n\nHi,\nI would like to know if it's possible to have the weights of the pretrained model that you used in the publication, to use it directly instead of retraining the network from zero.\nThank you in advance.\n\n—\nYou are receiving this because you are subscribed to this thread.\nReply to this email directly, view it on GitHub, or mute the thread."}}
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