Speed up examples/landmark_detection by only training 5 or 10 landmarks

patrikhuber / superviseddescent

C++11 implementation of the supervised descent optimisation method

http://patrikhuber.github.io/superviseddescent/

Apache License 2.0

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Speed up examples/landmark_detection by only training 5 or 10 landmarks #14

Open patrikhuber opened 9 years ago

patrikhuber commented 9 years ago

examples/landmark_detection is a first-run example and it should run fairly quick to give the user some results. I should change it to only train 5 or 10 landmarks, so the training will be quicker than with 68 landmarks.