Robust realtime face and facial landmark tracking on CPU with Unity integration
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Updated
May 31, 2024 - Python
Robust realtime face and facial landmark tracking on CPU with Unity integration
High-quality video chat with minimal bandwidth using deep generative models and advanced facial landmarks for efficient data transmission.
💎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.
This asset is an example of swapping two faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.
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”.
FaceLandmark Detector using Dlib (Unity Asset Plugin)
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
Applying Bezier curves and 68 Face Landmarks to Map Left and Right Cheek Zones
[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.
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
Simple package for face landmarks extraction from mediapipe
Face Reconstructor: Mediapipe Holistic + OpenCV for accurate facial landmark detection and mesh-based skin patching
Java port for Pixel Intensity Comparison-based Object detection
image verification system
HoloLens With DlibFaceLandmarkDetector Example (Support for Hololens1 and Hololens2)
You can use almost all the methods of methods of DlibFaceLandmarkDetector in PlayMaker.
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.
Face censorship using machine learning and Node.js
WhoAreYou is used for face swapping in images.
Face Recognition Using Different Model
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