Implementation of PFLD A Practical Facial Landmark Detector , reference to https://arxiv.org/pdf/1902.10859.pdf
Role in this project:
ML Engineer Contributions:14 commits, 4 PRs, 34 comments in 1 month
Contributions summary:Uros primarily contributes to the implementation and refinement of a facial landmark detector. Their work includes adding code for computing Euler angles, fixing bugs in the running model, and updating the training model. The user is involved in integrating with external datasets and defining the training process. These contributions center around improving the model's functionality and potentially improving its accuracy in determining facial landmarks.
pdfeuler-anglesdeep-learninglandmark-localizationpfld-tensorflow
Contributions:14 commits, 10 pushes, 1 branch in 1 month