Comments (1)
I added a model to master
that's trained on the 29 COFW landmarks and achieves a state-of-the-art error of around 0.07. The COFW-29 set is better to evaluate as it's a standardised set, not like the me17 on LFPW, whose images are largely not available anymore. Still I should do a test on LFPW at some point.
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Related Issues (20)
- Parallelise CalculateHogDescriptor HOT 2
- eigen function runs very slow HOT 3
- save trained model with non-C++11 syntax HOT 10
- question: CPU time needed for hog feature in SDM code HOT 2
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- Question: about pose estimation HOT 5
- Questions: how to optimize the speed of landmark detection code HOT 4
- Run rcr-train on my own data HOT 16
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- Crashing after a face is detected with rcr_track.cpp HOT 5
- Way to detect whether the detected landmarks are actual landmarks on a face HOT 3
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- Pose estimation for an input image HOT 4
- 68 landmark points pre-trained model HOT 3
- How can i get mean_ibug_lfpw_68.txt in new dataset? HOT 1
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from superviseddescent.