JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js

TengineKit - Free, Fast, Easy, Real-Time Face Detection & Face Landmarks & Face Attributes & Hand Detection & Hand Landmarks & Body Detection & Body Landmarks & Iris Landmarks & Yolov5 SDK On Mobile.

Robust realtime face and facial landmark tracking on CPU with Unity integration

Face landmarks(fiducial points) detection benchmark

💎A high level pipeline for face landmarks detection, it supports training, evaluating, exporting, inference(Python/C++) and 100+ data augmentations, can easily install via pip.

Finds facial features such as face contour, eyes, mouth and nose in an image.

FaceLandmark Detector using Dlib (Unity Asset Plugin)

Using OpenCV and Dlib to predict facial attractiveness.

Deep learning based gaze estimation demo with a fun feature :-)

[CVPR 2020] MERL-RAV Dataset contains over 19k faces annotated with 68 landmarks, with the additional information of whether each landmark is unoccluded, self-occluded or externally occluded.

This asset is an example project that maps face mask to the detected faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.

Face recognition using dlib and kNN classification (ROS compatible)

[CVPR 2020] Re-hosting of the LUVLi Face Alignment codebase. Please download the codebase from the original MERL website by agreeing to all terms and conditions. By using this code, you agree to MERL's research-only licensing terms.

A pytorch version of face landmark framework

Face detection and recognition library that focuses on speed and ease of use.

HoloLens With DlibFaceLandmarkDetector Example (Support for Hololens1 and Hololens2)

This asset is an example of swapping two faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.

This asset is an Non-rigid Face Tracking Example that can model and track the many complex parts of a person’s face in WebCamTexture in real-time.

Code to generate G_seg, G_pos and G_app images from "Example-Based Synthesis of Stylized Facial Animations" by JAKUB FIŠER et al.