{"action":"created","issue":{"url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition/issues/3","repository_url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition","labels_url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition/issues/3/labels{/name}","comments_url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition/issues/3/comments","events_url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition/issues/3/events","html_url":"https://github.com/danbochman/Real-Time-Action-Recognition/issues/3","id":440444603,"node_id":"MDU6SXNzdWU0NDA0NDQ2MDM=","number":3,"title":"Accuracy problem","user":{"login":"MengXinChengXuYuan","id":19768696,"node_id":"MDQ6VXNlcjE5NzY4Njk2","avatar_url":"https://avatars2.githubusercontent.com/u/19768696?v=4","gravatar_id":"","url":"https://api.github.com/users/MengXinChengXuYuan","html_url":"https://github.com/MengXinChengXuYuan","followers_url":"https://api.github.com/users/MengXinChengXuYuan/followers","following_url":"https://api.github.com/users/MengXinChengXuYuan/following{/other_user}","gists_url":"https://api.github.com/users/MengXinChengXuYuan/gists{/gist_id}","starred_url":"https://api.github.com/users/MengXinChengXuYuan/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/MengXinChengXuYuan/subscriptions","organizations_url":"https://api.github.com/users/MengXinChengXuYuan/orgs","repos_url":"https://api.github.com/users/MengXinChengXuYuan/repos","events_url":"https://api.github.com/users/MengXinChengXuYuan/events{/privacy}","received_events_url":"https://api.github.com/users/MengXinChengXuYuan/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":2,"created_at":"2019-05-05T13:27:26Z","updated_at":"2019-05-07T18:12:10Z","closed_at":null,"author_association":"NONE","body":"Hi\r\nThank you for your great work first!\r\nHowever I got a question on the accuracy of the real time recognition\r\nI just cloned your repo, modified some code to adapt to py 3.5 and deleted all code about training and evaling. \r\nAfter downloading your pretrained model, by running spatial_cnn_cpu.py, I can get the recognition result but the accuracy is low and the confidence score is only about 0.45 maximum, quite different from the demo video given in the repo.\r\nIs that in the demo video you are running on a gpu, using both spatial cnn and motion cnn, and finally fused the result?\r\nOr in spatial_cnn_cpu.py you just use rgb as input, but in spatial_cnn_gpu, optflow also?\r\n"},"comment":{"url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition/issues/comments/490189928","html_url":"https://github.com/danbochman/Real-Time-Action-Recognition/issues/3#issuecomment-490189928","issue_url":"https://api.github.com/repos/danbochman/Real-Time-Action-Recognition/issues/3","id":490189928,"node_id":"MDEyOklzc3VlQ29tbWVudDQ5MDE4OTkyOA==","user":{"login":"danbochman","id":40274004,"node_id":"MDQ6VXNlcjQwMjc0MDA0","avatar_url":"https://avatars1.githubusercontent.com/u/40274004?v=4","gravatar_id":"","url":"https://api.github.com/users/danbochman","html_url":"https://github.com/danbochman","followers_url":"https://api.github.com/users/danbochman/followers","following_url":"https://api.github.com/users/danbochman/following{/other_user}","gists_url":"https://api.github.com/users/danbochman/gists{/gist_id}","starred_url":"https://api.github.com/users/danbochman/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/danbochman/subscriptions","organizations_url":"https://api.github.com/users/danbochman/orgs","repos_url":"https://api.github.com/users/danbochman/repos","events_url":"https://api.github.com/users/danbochman/events{/privacy}","received_events_url":"https://api.github.com/users/danbochman/received_events","type":"User","site_admin":false},"created_at":"2019-05-07T18:12:10Z","updated_at":"2019-05-07T18:12:10Z","author_association":"OWNER","body":"You mentioned you deleted the code for training and eval but specifically the evaluation scripts can help you debug your problem. You can download the UCF-101 dataset and see if you achieve 82% accuracy on the test set with the Spatial CNN. If you do get 82% percent, then most probably the difference is due to your inference setup.\r\nIf not, then your camera probably isn't the issue and something went wrong when you modified the code."}}
{"actor":{"display_login":"danbochman"}}