This project extracts 3D face landmarks based on 2d screenshots of a 3D face (Lateral Left, Lateral Right and Front View)
-
Updated
May 13, 2024 - Python
This project extracts 3D face landmarks based on 2d screenshots of a 3D face (Lateral Left, Lateral Right and Front View)
The intention here is to create a GUI based project using PyQT5 and face recognition library for detecting face landmarks on the Image and also perform digital makeup on image.
Face Recognition Javascript SDK using ONNX Runtime Web and OpenCV.js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition)
A face recognition solution on mobile device.
Deep learning based gaze estimation demo with a fun feature :-)
A re-implementation of Deep-Alignment-Network using TensorFlow
The MXNet Implementation of Stacked Hourglass and Stacked SAT for Robust 2D and 3D Face Alignment
A simple method for face alignment based on wingloss and mutitask learning :)
A large-scale dataset for face parsing (AAAI2020)
A face recognition solution on mobile device.
An awesome face technology repository.
Deep Learning Based Free Mobile Real-Time Face Landmark Detector. Contact:[email protected]
Simple Node.js package for robust face detection and face recognition. JavaScript and TypeScript API.
Add a description, image, and links to the face-landmark topic page so that developers can more easily learn about it.
To associate your repository with the face-landmark topic, visit your repo's landing page and select "manage topics."