{"action":"created","issue":{"url":"https://api.github.com/repos/tornadomeet/mxnet-face/issues/23","repository_url":"https://api.github.com/repos/tornadomeet/mxnet-face","labels_url":"https://api.github.com/repos/tornadomeet/mxnet-face/issues/23/labels{/name}","comments_url":"https://api.github.com/repos/tornadomeet/mxnet-face/issues/23/comments","events_url":"https://api.github.com/repos/tornadomeet/mxnet-face/issues/23/events","html_url":"https://github.com/tornadomeet/mxnet-face/issues/23","id":172875864,"number":23,"title":"the result.txt of running get_predict_file is different from your predict.txt","user":{"login":"xzqjack","id":13688178,"avatar_url":"https://avatars.githubusercontent.com/u/13688178?v=3","gravatar_id":"","url":"https://api.github.com/users/xzqjack","html_url":"https://github.com/xzqjack","followers_url":"https://api.github.com/users/xzqjack/followers","following_url":"https://api.github.com/users/xzqjack/following{/other_user}","gists_url":"https://api.github.com/users/xzqjack/gists{/gist_id}","starred_url":"https://api.github.com/users/xzqjack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/xzqjack/subscriptions","organizations_url":"https://api.github.com/users/xzqjack/orgs","repos_url":"https://api.github.com/users/xzqjack/repos","events_url":"https://api.github.com/users/xzqjack/events{/privacy}","received_events_url":"https://api.github.com/users/xzqjack/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2016-08-24T06:40:36Z","updated_at":"2016-08-25T02:24:36Z","closed_at":null,"body":"Hi, i have run `verification/test.sh`  again with your provided data  'aligin-lfw dataset'. The **new predicted result** is different your **verification/predict.txt** and its acc is very bad.\r\n* your provided predict.txt\r\n```\r\nAbel_Pacheco/Abel_Pacheco_0001.png\tAbel_Pacheco/Abel_Pacheco_0004.png\t0.451991\t1\r\nAkhmed_Zakayev/Akhmed_Zakayev_0001.png\tAkhmed_Zakayev/Akhmed_Zakayev_0003.png\t0.835496\t1\r\nAkhmed_Zakayev/Akhmed_Zakayev_0002.png\tAkhmed_Zakayev/Akhmed_Zakayev_0003.png\t0.714418\t1\r\nAmber_Tamblyn/Amber_Tamblyn_0001.png\tAmber_Tamblyn/Amber_Tamblyn_0002.png\t0.694672\t1\r\nAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0001.png\tAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0003.png\t0.618321\t1\r\nAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0001.png\tAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0004.png\t0.610199\t1\r\nAngela_Bassett/Angela_Bassett_0001.png\tAngela_Bassett/Angela_Bassett_0005.png\t0.826952\t1\r\nAngela_Bassett/Angela_Bassett_0002.png\tAngela_Bassett/Angela_Bassett_0005.png\t0.550906\t1\r\nAngela_Bassett/Angela_Bassett_0003.png\tAngela_Bassett/Angela_Bassett_0004.png\t0.45209\t1\r\nAnn_Veneman/Ann_Veneman_0003.png\tAnn_Veneman/Ann_Veneman_0005.png\t0.877394\t1\r\nAnn_Veneman/Ann_Veneman_0006.png\tAnn_Veneman/Ann_Veneman_0010.png\t0.758687\t1\r\nAnn_Veneman/Ann_Veneman_0010.png\tAnn_Veneman/Ann_Veneman_0011.png\t0.58771\t1\r\nAnthony_Fauci/Anthony_Fauci_0001.png\tAnthony_Fauci/Anthony_Fauci_0002.png\t0.788583\t1\r\nAntony_Leung/Antony_Leung_0001.png\tAntony_Leung/Antony_Leung_0002.png\t0.669878\t1\r\nAntony_Leung/Antony_Leung_0002.png\tAntony_Leung/Antony_Leung_0003.png\t0.609032\t1\r\nAnwar_Ibrahim/Anwar_Ibrahim_0001.png\tAnwar_Ibrahim/Anwar_Ibrahim_0002.png\t0.533982\t1\r\n```\r\n* my new predict\r\n```\r\nAbel_Pacheco/Abel_Pacheco_0001.png\tAbel_Pacheco/Abel_Pacheco_0004.png\t0.999479\t1\r\nAkhmed_Zakayev/Akhmed_Zakayev_0001.png\tAkhmed_Zakayev/Akhmed_Zakayev_0003.png\t0.999885\t1\r\nAkhmed_Zakayev/Akhmed_Zakayev_0002.png\tAkhmed_Zakayev/Akhmed_Zakayev_0003.png\t0.999717\t1\r\nAmber_Tamblyn/Amber_Tamblyn_0001.png\tAmber_Tamblyn/Amber_Tamblyn_0002.png\t0.999251\t1\r\nAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0001.png\tAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0003.png\t0.999579\t1\r\nAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0001.png\tAnders_Fogh_Rasmussen/Anders_Fogh_Rasmussen_0004.png\t0.999673\t1\r\nAngela_Bassett/Angela_Bassett_0001.png\tAngela_Bassett/Angela_Bassett_0005.png\t0.999726\t1\r\nAngela_Bassett/Angela_Bassett_0002.png\tAngela_Bassett/Angela_Bassett_0005.png\t0.999633\t1\r\nAngela_Bassett/Angela_Bassett_0003.png\tAngela_Bassett/Angela_Bassett_0004.png\t0.999088\t1\r\nAnn_Veneman/Ann_Veneman_0003.png\tAnn_Veneman/Ann_Veneman_0005.png\t0.999508\t1\r\nAnn_Veneman/Ann_Veneman_0006.png\tAnn_Veneman/Ann_Veneman_0010.png\t0.999353\t1\r\nAnn_Veneman/Ann_Veneman_0010.png\tAnn_Veneman/Ann_Veneman_0011.png\t0.999434\t1\r\nAnthony_Fauci/Anthony_Fauci_0001.png\tAnthony_Fauci/Anthony_Fauci_0002.png\t0.99928\t1\r\nAntony_Leung/Antony_Leung_0001.png\tAntony_Leung/Antony_Leung_0002.png\t0.999453\t1\r\nAntony_Leung/Antony_Leung_0002.png\tAntony_Leung/Antony_Leung_0003.png\t0.99954\t1\r\nAnwar_Ibrahim/Anwar_Ibrahim_0001.png\tAnwar_Ibrahim/Anwar_Ibrahim_0002.png\t0.999303\t1\r\n```\r\nThe only change is that\r\n1. i use the `newest mxnet`, not your provided `face_mxnet`;\r\n2. i use `io.imread` instead of 'cv2.imread'\r\n\r\nIs there any import notice i ignore? Any hits will be appreciated.\r\nThank you.\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/tornadomeet/mxnet-face/issues/comments/242264433","html_url":"https://github.com/tornadomeet/mxnet-face/issues/23#issuecomment-242264433","issue_url":"https://api.github.com/repos/tornadomeet/mxnet-face/issues/23","id":242264433,"user":{"login":"xzqjack","id":13688178,"avatar_url":"https://avatars.githubusercontent.com/u/13688178?v=3","gravatar_id":"","url":"https://api.github.com/users/xzqjack","html_url":"https://github.com/xzqjack","followers_url":"https://api.github.com/users/xzqjack/followers","following_url":"https://api.github.com/users/xzqjack/following{/other_user}","gists_url":"https://api.github.com/users/xzqjack/gists{/gist_id}","starred_url":"https://api.github.com/users/xzqjack/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/xzqjack/subscriptions","organizations_url":"https://api.github.com/users/xzqjack/orgs","repos_url":"https://api.github.com/users/xzqjack/repos","events_url":"https://api.github.com/users/xzqjack/events{/privacy}","received_events_url":"https://api.github.com/users/xzqjack/received_events","type":"User","site_admin":false},"created_at":"2016-08-25T02:24:35Z","updated_at":"2016-08-25T02:24:35Z","body":"@tornadomeet  \r\nThanks for your reply.\r\n\r\nI have just made a test and found that the image read by `cv2.imread` is different from the image read by `skimage.io.imread` about pixel values. The difference is about 20, whcih is so large that would have huge influence （maybe bad influence） on training and testing results. That means the way of reading image is a big problems in Python. Is there union choice? For example, all researchers  use cv2.imread or PIL or some other ways. \r\n\r\nBy the way, i changed to use `cv2.imread` and get the same results as your `predict.txt`\r\n"}}
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