{"action":"created","issue":{"url":"https://api.github.com/repos/Justin-Tan/generative-compression/issues/8","repository_url":"https://api.github.com/repos/Justin-Tan/generative-compression","labels_url":"https://api.github.com/repos/Justin-Tan/generative-compression/issues/8/labels{/name}","comments_url":"https://api.github.com/repos/Justin-Tan/generative-compression/issues/8/comments","events_url":"https://api.github.com/repos/Justin-Tan/generative-compression/issues/8/events","html_url":"https://github.com/Justin-Tan/generative-compression/issues/8","id":328966051,"node_id":"MDU6SXNzdWUzMjg5NjYwNTE=","number":8,"title":"how to train on ADE20K?","user":{"login":"wensihan","id":22090547,"node_id":"MDQ6VXNlcjIyMDkwNTQ3","avatar_url":"https://avatars0.githubusercontent.com/u/22090547?v=4","gravatar_id":"","url":"https://api.github.com/users/wensihan","html_url":"https://github.com/wensihan","followers_url":"https://api.github.com/users/wensihan/followers","following_url":"https://api.github.com/users/wensihan/following{/other_user}","gists_url":"https://api.github.com/users/wensihan/gists{/gist_id}","starred_url":"https://api.github.com/users/wensihan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/wensihan/subscriptions","organizations_url":"https://api.github.com/users/wensihan/orgs","repos_url":"https://api.github.com/users/wensihan/repos","events_url":"https://api.github.com/users/wensihan/events{/privacy}","received_events_url":"https://api.github.com/users/wensihan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-06-04T08:58:30Z","updated_at":"2018-06-04T16:14:42Z","closed_at":null,"author_association":"NONE","body":"what should I do if I want to train the network on the ADE20K?\r\nDo I need to write a ADE20K_train.h5 file like the cityscapes_train.h5? And the rescale script like the resize_cityscapes.sh?\r\nLooking forward to your response~"},"comment":{"url":"https://api.github.com/repos/Justin-Tan/generative-compression/issues/comments/394412592","html_url":"https://github.com/Justin-Tan/generative-compression/issues/8#issuecomment-394412592","issue_url":"https://api.github.com/repos/Justin-Tan/generative-compression/issues/8","id":394412592,"node_id":"MDEyOklzc3VlQ29tbWVudDM5NDQxMjU5Mg==","user":{"login":"Justin-Tan","id":27450488,"node_id":"MDQ6VXNlcjI3NDUwNDg4","avatar_url":"https://avatars2.githubusercontent.com/u/27450488?v=4","gravatar_id":"","url":"https://api.github.com/users/Justin-Tan","html_url":"https://github.com/Justin-Tan","followers_url":"https://api.github.com/users/Justin-Tan/followers","following_url":"https://api.github.com/users/Justin-Tan/following{/other_user}","gists_url":"https://api.github.com/users/Justin-Tan/gists{/gist_id}","starred_url":"https://api.github.com/users/Justin-Tan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Justin-Tan/subscriptions","organizations_url":"https://api.github.com/users/Justin-Tan/orgs","repos_url":"https://api.github.com/users/Justin-Tan/repos","events_url":"https://api.github.com/users/Justin-Tan/events{/privacy}","received_events_url":"https://api.github.com/users/Justin-Tan/received_events","type":"User","site_admin":false},"created_at":"2018-06-04T16:14:42Z","updated_at":"2018-06-04T16:14:42Z","author_association":"OWNER","body":"To train on ADE20K the authors resize the width of each image to 512 px. Then specify the `-ds ADE20k` flag while training. The reason for this is that the encoder reduces the image width and height by a factor of 16, so the dimensions of the input image need to be cropped to the nearest multiple of 16."}}
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