{"action":"created","issue":{"url":"https://api.github.com/repos/ergysr/DeepCC/issues/66","repository_url":"https://api.github.com/repos/ergysr/DeepCC","labels_url":"https://api.github.com/repos/ergysr/DeepCC/issues/66/labels{/name}","comments_url":"https://api.github.com/repos/ergysr/DeepCC/issues/66/comments","events_url":"https://api.github.com/repos/ergysr/DeepCC/issues/66/events","html_url":"https://github.com/ergysr/DeepCC/issues/66","id":427565303,"node_id":"MDU6SXNzdWU0Mjc1NjUzMDM=","number":66,"title":"Details of the generation of detections and L0_features","user":{"login":"GehenHe","id":16199688,"node_id":"MDQ6VXNlcjE2MTk5Njg4","avatar_url":"https://avatars0.githubusercontent.com/u/16199688?v=4","gravatar_id":"","url":"https://api.github.com/users/GehenHe","html_url":"https://github.com/GehenHe","followers_url":"https://api.github.com/users/GehenHe/followers","following_url":"https://api.github.com/users/GehenHe/following{/other_user}","gists_url":"https://api.github.com/users/GehenHe/gists{/gist_id}","starred_url":"https://api.github.com/users/GehenHe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GehenHe/subscriptions","organizations_url":"https://api.github.com/users/GehenHe/orgs","repos_url":"https://api.github.com/users/GehenHe/repos","events_url":"https://api.github.com/users/GehenHe/events{/privacy}","received_events_url":"https://api.github.com/users/GehenHe/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":5,"created_at":"2019-04-01T08:04:30Z","updated_at":"2019-04-10T11:32:08Z","closed_at":null,"author_association":"NONE","body":"How to generate the detection, _e.g._, camera1.mat, and the L0_features, _e.g._, features1.h5?\r\nBecause I want to employ the proposed method on an another dataset, while no details of these modules are provided.\r\n\r\nCheers"},"comment":{"url":"https://api.github.com/repos/ergysr/DeepCC/issues/comments/481652836","html_url":"https://github.com/ergysr/DeepCC/issues/66#issuecomment-481652836","issue_url":"https://api.github.com/repos/ergysr/DeepCC/issues/66","id":481652836,"node_id":"MDEyOklzc3VlQ29tbWVudDQ4MTY1MjgzNg==","user":{"login":"GehenHe","id":16199688,"node_id":"MDQ6VXNlcjE2MTk5Njg4","avatar_url":"https://avatars0.githubusercontent.com/u/16199688?v=4","gravatar_id":"","url":"https://api.github.com/users/GehenHe","html_url":"https://github.com/GehenHe","followers_url":"https://api.github.com/users/GehenHe/followers","following_url":"https://api.github.com/users/GehenHe/following{/other_user}","gists_url":"https://api.github.com/users/GehenHe/gists{/gist_id}","starred_url":"https://api.github.com/users/GehenHe/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/GehenHe/subscriptions","organizations_url":"https://api.github.com/users/GehenHe/orgs","repos_url":"https://api.github.com/users/GehenHe/repos","events_url":"https://api.github.com/users/GehenHe/events{/privacy}","received_events_url":"https://api.github.com/users/GehenHe/received_events","type":"User","site_admin":false},"created_at":"2019-04-10T11:32:08Z","updated_at":"2019-04-10T11:32:08Z","author_association":"NONE","body":"As mentioned by @ergysr, each key point should be (x,y,confidence).\r\n> The format might have changed recently. Before, body was 18 keypoints if I remember correctly, (x,y,confidence). Here is the code that parses the already computed detections and visualizes them. https://github.com/ergysr/DeepCC/blob/master/src/visualization/show_detections.m\r\n\r\nHowever, in the provided detection file, _e.g._, camera1.mat, x,y are in range [0,1], and  which are mismatch with the openpose output format (where x, y are float number that smaller than image width and height). How can I convert the output coordinate of openpose  to the provided detection format?\r\n\r\nCheers"}}
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