{"action":"opened","issue":{"url":"https://api.github.com/repos/opencv/opencv_contrib/issues/1683","repository_url":"https://api.github.com/repos/opencv/opencv_contrib","labels_url":"https://api.github.com/repos/opencv/opencv_contrib/issues/1683/labels{/name}","comments_url":"https://api.github.com/repos/opencv/opencv_contrib/issues/1683/comments","events_url":"https://api.github.com/repos/opencv/opencv_contrib/issues/1683/events","html_url":"https://github.com/opencv/opencv_contrib/issues/1683","id":338303265,"node_id":"MDU6SXNzdWUzMzgzMDMyNjU=","number":1683,"title":"Kazemi-based facemark detection pre-trained model does not produce valid fitting results","user":{"login":"cedriclmenard","id":11577913,"node_id":"MDQ6VXNlcjExNTc3OTEz","avatar_url":"https://avatars1.githubusercontent.com/u/11577913?v=4","gravatar_id":"","url":"https://api.github.com/users/cedriclmenard","html_url":"https://github.com/cedriclmenard","followers_url":"https://api.github.com/users/cedriclmenard/followers","following_url":"https://api.github.com/users/cedriclmenard/following{/other_user}","gists_url":"https://api.github.com/users/cedriclmenard/gists{/gist_id}","starred_url":"https://api.github.com/users/cedriclmenard/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/cedriclmenard/subscriptions","organizations_url":"https://api.github.com/users/cedriclmenard/orgs","repos_url":"https://api.github.com/users/cedriclmenard/repos","events_url":"https://api.github.com/users/cedriclmenard/events{/privacy}","received_events_url":"https://api.github.com/users/cedriclmenard/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-07-04T14:45:53Z","updated_at":"2018-07-04T14:45:53Z","closed_at":null,"author_association":"NONE","body":"##### System information (version)\r\n\r\n- OpenCV => 3.4.1\r\n- Operating System / Platform =>  MacOS 10.13.5\r\n- Compiler => LLVM (using CMake)\r\n\r\n##### Detailed description\r\n\r\nThe pre-trained Kazemi facemark detection model does not produce valid results when using OpenCV's own face detection (i.e. Haar's cascade using the LBP improved trained model).\r\n\r\nEssentially, the landmarks always seem to be off or at a completely other place than what it should. I'm experiencing the same issue as: https://stackoverflow.com/questions/48080914/what-model-is-needed-to-detect-facemark-by-using-opencv-contrib\r\n\r\nThe facemark model file is available here: https://github.com/opencv/opencv_3rdparty/tree/contrib_face_alignment_20170818\r\n\r\nThe face detection model xml is available here: https://github.com/opencv/opencv/blob/master/data/lbpcascades/lbpcascade_frontalface_improved.xml\r\n"}}
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