PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
-
Updated
May 24, 2020 - Python
PyTorch implementation of "Super-Realtime Facial Landmark Detection and Shape Fitting by Deep Regression of Shape Model Parameters" predicting facial landmarks with up to 400 FPS
Face Alignment using dlib
CIDetector for face detection on this https://github.com/FaceAR/OpenFaceIOS project
Making compatiable of https://github.com/yulequan/face-alignment-in-3000fps project to iOS and macOS platform
ios implementation of https://github.com/soundsilence/FaceAlignment project
Compare dlib shape predictor on thermal and normal images
Using deep learning method to analyze tensiometry of pendant drop with Pytorch
Add a description, image, and links to the shape-prediction topic page so that developers can more easily learn about it.
To associate your repository with the shape-prediction topic, visit your repo's landing page and select "manage topics."