It is an open surce program reference to https://arxiv.org/pdf/1902.10859.pdf , if you find any bugs or anything incorrect,you can notice it in the issues and pull request,be glad to receive you advices.
And thanks @lucknote for helping fixing existing bugs.
WFLW Dataset
Wider Facial Landmarks in-the-wild (WFLW) contains 10000 faces (7500 for training and 2500 for testing) with 98 fully manual annotated landmarks.
training :
$ python data/SetPreparation.py
$ train.sh
use tensorboard, open a new terminal
$ tensorboard --logdir=./checkpoint/tensorboard/
testing:
$ python test.py
Sample images:
Sample gif:
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