{"action":"created","issue":{"url":"https://api.github.com/repos/deepfakes/faceswap/issues/184","repository_url":"https://api.github.com/repos/deepfakes/faceswap","labels_url":"https://api.github.com/repos/deepfakes/faceswap/issues/184/labels{/name}","comments_url":"https://api.github.com/repos/deepfakes/faceswap/issues/184/comments","events_url":"https://api.github.com/repos/deepfakes/faceswap/issues/184/events","html_url":"https://github.com/deepfakes/faceswap/issues/184","id":296222222,"number":184,"title":"Getting 50 minutes conversion time for 3000 images, 0% GPU usage but high vram usage. Is this normal?","user":{"login":"salre9501","id":36017815,"avatar_url":"https://avatars3.githubusercontent.com/u/36017815?v=4","gravatar_id":"","url":"https://api.github.com/users/salre9501","html_url":"https://github.com/salre9501","followers_url":"https://api.github.com/users/salre9501/followers","following_url":"https://api.github.com/users/salre9501/following{/other_user}","gists_url":"https://api.github.com/users/salre9501/gists{/gist_id}","starred_url":"https://api.github.com/users/salre9501/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/salre9501/subscriptions","organizations_url":"https://api.github.com/users/salre9501/orgs","repos_url":"https://api.github.com/users/salre9501/repos","events_url":"https://api.github.com/users/salre9501/events{/privacy}","received_events_url":"https://api.github.com/users/salre9501/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":8,"created_at":"2018-02-11T20:26:35Z","updated_at":"2018-02-12T05:27:22Z","closed_at":null,"author_association":"NONE","body":"Results are good, but the conversion is really slow compared to fake app. Dlib 19.9.99 compiled with CUDA, visual studio reinstalled, tensorflow 1.5, CUDA 9, and cudnn 7. I tried with CUDA 8, cudnn 6/5.1, tensorflow 1.4 and had the same problem. Extraction took 8 minutes on the same images, and training uses 60% of my gpu so I know the gpu is detected. Setting -D cnn on the conversion scripts gives me an out of memory error. Getting a conversion speed of 1 - 1.8 it/s on GTX 1070. \r\n\r\nImages are 1280 x 720\r\n"},"comment":{"url":"https://api.github.com/repos/deepfakes/faceswap/issues/comments/364832004","html_url":"https://github.com/deepfakes/faceswap/issues/184#issuecomment-364832004","issue_url":"https://api.github.com/repos/deepfakes/faceswap/issues/184","id":364832004,"user":{"login":"iperov","id":8076202,"avatar_url":"https://avatars1.githubusercontent.com/u/8076202?v=4","gravatar_id":"","url":"https://api.github.com/users/iperov","html_url":"https://github.com/iperov","followers_url":"https://api.github.com/users/iperov/followers","following_url":"https://api.github.com/users/iperov/following{/other_user}","gists_url":"https://api.github.com/users/iperov/gists{/gist_id}","starred_url":"https://api.github.com/users/iperov/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/iperov/subscriptions","organizations_url":"https://api.github.com/users/iperov/orgs","repos_url":"https://api.github.com/users/iperov/repos","events_url":"https://api.github.com/users/iperov/events{/privacy}","received_events_url":"https://api.github.com/users/iperov/received_events","type":"User","site_admin":false},"created_at":"2018-02-12T05:27:22Z","updated_at":"2018-02-12T05:27:22Z","author_association":"NONE","body":"@ByFede \r\n\r\nextract using dlib\r\ntrain using tensorflow\r\nconvert using dlib and tensorflow\r\n\r\nin latest commit convert use alignments got from extract, so you have to run extract again.\r\nalso your dlib built without CUDA.\r\n\r\npip uninstall dlib\r\ngoto dlib dir\r\npython setup.py install --yes DLIB_USE_CUDA\r\n"}}
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