{"action":"created","issue":{"url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace/issues/521","repository_url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace","labels_url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace/issues/521/labels{/name}","comments_url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace/issues/521/comments","events_url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace/issues/521/events","html_url":"https://github.com/TadasBaltrusaitis/OpenFace/issues/521","id":341862259,"node_id":"MDU6SXNzdWUzNDE4NjIyNTk=","number":521,"title":"Did reduce the landmark points needs retrain the model?","user":{"login":"hgfm","id":22901282,"node_id":"MDQ6VXNlcjIyOTAxMjgy","avatar_url":"https://avatars2.githubusercontent.com/u/22901282?v=4","gravatar_id":"","url":"https://api.github.com/users/hgfm","html_url":"https://github.com/hgfm","followers_url":"https://api.github.com/users/hgfm/followers","following_url":"https://api.github.com/users/hgfm/following{/other_user}","gists_url":"https://api.github.com/users/hgfm/gists{/gist_id}","starred_url":"https://api.github.com/users/hgfm/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/hgfm/subscriptions","organizations_url":"https://api.github.com/users/hgfm/orgs","repos_url":"https://api.github.com/users/hgfm/repos","events_url":"https://api.github.com/users/hgfm/events{/privacy}","received_events_url":"https://api.github.com/users/hgfm/received_events","type":"User","site_admin":false},"labels":[],"state":"open","locked":false,"assignee":null,"assignees":[],"milestone":null,"comments":0,"created_at":"2018-07-17T10:36:30Z","updated_at":"2018-07-19T07:21:18Z","closed_at":null,"author_association":"NONE","body":"Hi, Tadas, \r\n    I don't need so much 68 Facial Landmark points, and I also want to reduce the size of model, so I can not only to turn off the visibilities. I use the CCNF model and try to change the code to only read part of CCNF model, and I success to create the `patch_expert_responses` (which only includes the points I need). \r\n    But then I find `CLNF::Fit `(from `LandmarkDetectorModel.cpp`) can not work as good as the original code. I find the reason is that mean_shift in `NU_RLMS` must reduce from (68 * 2,2) to (51 * 2,2), that makes `NU_RLMS` can not optimize the `params_global` and `params_local` well.\r\n    Could you give me some advice? I want to figure out if it is must to retrain the PDM and CCNF model, or there is just because I change the code somewhere wrong? I can sure first into `NU_RLMS`, the `mean_shift` only include the part which belongs to the point I need.\r\n By the way, what's the meaning of `params_global` and `params_local`?\r\nthanks"},"comment":{"url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace/issues/comments/406180017","html_url":"https://github.com/TadasBaltrusaitis/OpenFace/issues/521#issuecomment-406180017","issue_url":"https://api.github.com/repos/TadasBaltrusaitis/OpenFace/issues/521","id":406180017,"node_id":"MDEyOklzc3VlQ29tbWVudDQwNjE4MDAxNw==","user":{"login":"TadasBaltrusaitis","id":7542364,"node_id":"MDQ6VXNlcjc1NDIzNjQ=","avatar_url":"https://avatars1.githubusercontent.com/u/7542364?v=4","gravatar_id":"","url":"https://api.github.com/users/TadasBaltrusaitis","html_url":"https://github.com/TadasBaltrusaitis","followers_url":"https://api.github.com/users/TadasBaltrusaitis/followers","following_url":"https://api.github.com/users/TadasBaltrusaitis/following{/other_user}","gists_url":"https://api.github.com/users/TadasBaltrusaitis/gists{/gist_id}","starred_url":"https://api.github.com/users/TadasBaltrusaitis/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/TadasBaltrusaitis/subscriptions","organizations_url":"https://api.github.com/users/TadasBaltrusaitis/orgs","repos_url":"https://api.github.com/users/TadasBaltrusaitis/repos","events_url":"https://api.github.com/users/TadasBaltrusaitis/events{/privacy}","received_events_url":"https://api.github.com/users/TadasBaltrusaitis/received_events","type":"User","site_admin":false},"created_at":"2018-07-19T07:21:18Z","updated_at":"2018-07-19T07:21:18Z","author_association":"OWNER","body":"Hi,\r\n\r\nA good example of how the visibility of landmarks can be controlled can be found in the patch experts that come with OpenFace (either CCNF or CE-CLM). For example for profile faces the visibility of some landmarks is set to 0, forcing the algorithm not to use them. However, the same 68 point PDM is still being used to track them. I don't believe that you need to reduce the PDM for it to work. The only thing you would need to change is to set the visibility of landmarks you don't want to 0, without reshaping anything."}}
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