{"action":"closed","issue":{"url":"https://api.github.com/repos/ZheC/Realtime_Multi-Person_Pose_Estimation/issues/167","repository_url":"https://api.github.com/repos/ZheC/Realtime_Multi-Person_Pose_Estimation","labels_url":"https://api.github.com/repos/ZheC/Realtime_Multi-Person_Pose_Estimation/issues/167/labels{/name}","comments_url":"https://api.github.com/repos/ZheC/Realtime_Multi-Person_Pose_Estimation/issues/167/comments","events_url":"https://api.github.com/repos/ZheC/Realtime_Multi-Person_Pose_Estimation/issues/167/events","html_url":"https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation/issues/167","id":312938599,"number":167,"title":"How to optimize memory in evalMPI.m and evalCOCO.m","user":{"login":"Andrew-huhong","id":24796895,"avatar_url":"https://avatars3.githubusercontent.com/u/24796895?v=4","gravatar_id":"","url":"https://api.github.com/users/Andrew-huhong","html_url":"https://github.com/Andrew-huhong","followers_url":"https://api.github.com/users/Andrew-huhong/followers","following_url":"https://api.github.com/users/Andrew-huhong/following{/other_user}","gists_url":"https://api.github.com/users/Andrew-huhong/gists{/gist_id}","starred_url":"https://api.github.com/users/Andrew-huhong/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Andrew-huhong/subscriptions","organizations_url":"https://api.github.com/users/Andrew-huhong/orgs","repos_url":"https://api.github.com/users/Andrew-huhong/repos","events_url":"https://api.github.com/users/Andrew-huhong/events{/privacy}","received_events_url":"https://api.github.com/users/Andrew-huhong/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2018-04-10T14:06:25Z","updated_at":"2018-04-15T21:07:17Z","closed_at":"2018-04-15T21:07:17Z","author_association":"NONE","body":"Hi,\r\nWith using evalMPII.m and evalCOCO.m program,  I meet the problem \"out of memory\". And I change the scale parameter from param.scale_search = [0.5 1 1.5 2] to param.scale_search = [1]. However,it's also the out of memory(my GPU memory is 12GB,CPU memory is 47GB). Badly, I cannot run the eval program by useing CPU.\r\nSo I set cpu, when I use evalMPII.m picture number 103, the cpu memory cost 46.6GB. Next, it's also out of memory.\r\nFrom what has been showed above, how to optimize memory in evalMPI.m and evalCOCO.m\r\nThank you a lot!!!"}}
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