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

💎An easy-to-use PyTorch library for face landmarks detection: training, evaluation, inference, and 100+ data augmentations.🎉

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.

No description provided.

[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”.

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

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.

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

A pytorch version of face landmark framework

HoloLens With DlibFaceLandmarkDetector Example (Support for Hololens1 and Hololens2)

VisionFace: All-in-one face analysis framework: detection, recognition, embeddings, landmarks, anti-spoofing and support visualization

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

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

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.

A Simple Flask and docker-ready application that works as a server to detect faces, genders and their landmarks.

Given a user profile, a video clip and an actor(actress) profile in the video, Swap the actor's face with the user's face

simple and modular framework to perform all stages of face recognition pipeline (detection, alignment, embedding, matching) with the possibility to add and use different models and techniques for each stage and can be used for images and videos.

use TF.js to calculate the facial landmarks

Pytorch Real-Time Image Classification with CNN

AI will detect your body language and decode it whether you are sad, happy, and other emotions. You can add another body language.

You can use almost all the methods of methods of DlibFaceLandmarkDetector in PlayMaker.

Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)

SegmeCam is an AI-powered Linux desktop webcam app that combines Selfie Segmentation and Face Landmark Detection for professional-grade real-time effects.