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patrikhuber / superviseddescent

C++11 implementation of the supervised descent optimisation method
http://patrikhuber.github.io/superviseddescent/
Apache License 2.0
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landmark detection.cpp trained result looks like mean shape. #52

Closed codediner closed 6 years ago

codediner commented 7 years ago

Hi, Patrik, thank you for your code of SDM, I have a problem when I use the landmark detection.cpp, I have used about 3000 images in the IBug for training in landmark detetion.cpp, but when I track the face using the trained model, il looks like the mean shape and when I close the eye, the landmark didn't follow, it keeps always the same form, I don't understand the reason.

Waiting for your answer.

Yours sincerely Anto

patrikhuber commented 6 years ago

Hi Anto,

Apologies for the late reply, it's probably not relevant anymore. For landmark detection, I recommend the RCR in apps/rcr. The code in landmark_detection.cpp is rather thought for beginners or for people who want to understand the algorithm, e.g. while reading the paper. Or people that want to build upon it by themselves. RCR is built upon this code. RCR and also the pretrained RCR model from 4dface work quite well for me and they definitely don't output mean landmarks :-) Note that if your training data doesn't contain people with closed eyes (which I think the ibug images don't really), then obviously your trained detector will also not be able to know & follow closing eyes.

patrikhuber commented 6 years ago

I'm going to close this, as I don't think there is an issue with the superviseddescent library. Feel free to re-open otherwise.