{"action":"created","issue":{"url":"https://api.github.com/repos/cvlab-epfl/tf-lift/issues/19","repository_url":"https://api.github.com/repos/cvlab-epfl/tf-lift","labels_url":"https://api.github.com/repos/cvlab-epfl/tf-lift/issues/19/labels{/name}","comments_url":"https://api.github.com/repos/cvlab-epfl/tf-lift/issues/19/comments","events_url":"https://api.github.com/repos/cvlab-epfl/tf-lift/issues/19/events","html_url":"https://github.com/cvlab-epfl/tf-lift/issues/19","id":329612381,"node_id":"MDU6SXNzdWUzMjk2MTIzODE=","number":19,"title":"Descriptor position","user":{"login":"TheToadAlly","id":28003333,"node_id":"MDQ6VXNlcjI4MDAzMzMz","avatar_url":"https://avatars2.githubusercontent.com/u/28003333?v=4","gravatar_id":"","url":"https://api.github.com/users/TheToadAlly","html_url":"https://github.com/TheToadAlly","followers_url":"https://api.github.com/users/TheToadAlly/followers","following_url":"https://api.github.com/users/TheToadAlly/following{/other_user}","gists_url":"https://api.github.com/users/TheToadAlly/gists{/gist_id}","starred_url":"https://api.github.com/users/TheToadAlly/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TheToadAlly/subscriptions","organizations_url":"https://api.github.com/users/TheToadAlly/orgs","repos_url":"https://api.github.com/users/TheToadAlly/repos","events_url":"https://api.github.com/users/TheToadAlly/events{/privacy}","received_events_url":"https://api.github.com/users/TheToadAlly/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":4,"created_at":"2018-06-05T20:27:46Z","updated_at":"2018-12-02T09:00:49Z","closed_at":"2018-06-06T01:40:42Z","author_association":"NONE","body":"Dear all,\r\n\r\nI have run the whole test pipeline on one image (kp, ori, desc). To my surprise, it seems that the number of descriptor doesn't match that of the keypoints.\r\nTherefore my question is : which descriptor vector goes with which keypoint location ?\r\n\r\nFor example, I extract the keypoints info using the following : \r\n\r\n`kp_list = loadKpListFromTxt(keypointFile)`\r\n\r\nAnd I extract the descriptors from the h5 file  as follow :\r\n\r\n```\r\nf = h5py.File(descriptorFile, 'r')\r\na_group_key = list(f.keys())[0]\r\ndescriptors = list(f[a_group_key])\r\n```\r\nTo which element in kp_list does descriptors[i] correspond to ?"},"comment":{"url":"https://api.github.com/repos/cvlab-epfl/tf-lift/issues/comments/443492182","html_url":"https://github.com/cvlab-epfl/tf-lift/issues/19#issuecomment-443492182","issue_url":"https://api.github.com/repos/cvlab-epfl/tf-lift/issues/19","id":443492182,"node_id":"MDEyOklzc3VlQ29tbWVudDQ0MzQ5MjE4Mg==","user":{"login":"Shu-HowTing","id":33338745,"node_id":"MDQ6VXNlcjMzMzM4NzQ1","avatar_url":"https://avatars2.githubusercontent.com/u/33338745?v=4","gravatar_id":"","url":"https://api.github.com/users/Shu-HowTing","html_url":"https://github.com/Shu-HowTing","followers_url":"https://api.github.com/users/Shu-HowTing/followers","following_url":"https://api.github.com/users/Shu-HowTing/following{/other_user}","gists_url":"https://api.github.com/users/Shu-HowTing/gists{/gist_id}","starred_url":"https://api.github.com/users/Shu-HowTing/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/Shu-HowTing/subscriptions","organizations_url":"https://api.github.com/users/Shu-HowTing/orgs","repos_url":"https://api.github.com/users/Shu-HowTing/repos","events_url":"https://api.github.com/users/Shu-HowTing/events{/privacy}","received_events_url":"https://api.github.com/users/Shu-HowTing/received_events","type":"User","site_admin":false},"created_at":"2018-12-02T09:00:49Z","updated_at":"2018-12-02T09:00:49Z","author_association":"NONE","body":"> > To which element in kp_list does descriptors[i] correspond to ?\r\n> \r\n> Ok, thank you very much. Indeed the keypoints are also included in the h5 file.\r\n\r\n@TheToadAlly Can you share the codes how to use the descriptor.h5 file to do keypoint matching? Thank you very much."}}
{"actor":{"display_login":"Shu-HowTing"}}