cleardusk/3DDFA
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
This tool helps analyze human faces in images and videos, even when they're turned or angled away. You feed it a picture or video of a face, and it tells you where key facial features are, reconstructs the face in 3D, estimates the head's exact pose, and can even generate a depth map of the face. It's useful for anyone working with facial data, such as researchers, animators, or surveillance analysts.
3,681 stars. No commits in the last 6 months.
Use this if you need to accurately track facial features, reconstruct 3D face models, or understand head pose from a single image or video, especially across various angles.
Not ideal if you primarily need a simple face detection or recognition system without detailed 3D analysis.
Stars
3,681
Forks
648
Language
Python
License
MIT
Category
Last pushed
May 14, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cleardusk/3DDFA"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related frameworks
talmolab/sleap
A deep learning framework for multi-animal pose tracking.
kennymckormick/pyskl
A toolbox for skeleton-based action recognition.
open-mmlab/mmaction2
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
jgraving/DeepPoseKit
a toolkit for pose estimation using deep learning
kenshohara/3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)