Fast 6DoF Face Alignment and Tracking
Project description
Working in progess...
Fast 6DoF Face Alignment and Tracking
This project purpose is to implement Ultra lightweight 6 DoF Face Alignment and Tracking. This project is capable of realtime tracking face for mobile device.
Installation
Requirements
- torch >= 2.0
- autoalbument >= 1.3.1
Install
pip install -U fdfat
Model Zoo
Training
Prepare the dataset
This project use 3d 68 points of landmark (difference from the original 300W dataset). Please go to FaceSynthetics to download the dataset (100K one) and extract it to your disk.
Create your dataset yaml file with the following
Start training
Predict
Credit
- YOLOv8 : Thanks for ultralytics awesome project, I borrow some code from here.
- Ultra-Light-Fast-Generic-Face-Detector-1MB : Thanks for your lightweight face detector
- FaceSynthetics : Thanks for expressive face landmark dataset, it's a good starting point
- head-pose-estimation : Thanks for head pose estimation code
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
fdfat-0.1.1.tar.gz
(23.8 kB
view hashes)
Built Distribution
fdfat-0.1.1-py3-none-any.whl
(29.5 kB
view hashes)