Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

YOLO5Face: Why Reinventing a Face Detector (https://arxiv.org/abs/2105.12931) ECCV Workshops 2022)

Automatic 3D Character animation using Pose Estimation and Landmark Generation techniques

Unofficial PyTorch implementation of BlazeFace

Reatime Face Recognizer on Android

微信小程序下运行最新TensorFlowJS的解决方案

End-to-end face detection and recognition system using PaddlePaddle.

深度学习，CV 例子项目，人体部分，包含：姿势骨架、手势骨架、姿势识别、手势识别、面部侦测等等

Python scripts to detect faces in Python with the BlazeFace Tensorflow Lite models

PyTorch implementation of Google's Mediapipe Iris Landmark model. The original code uses TFLite and their mediapipe workflow, which wouldn't work well with my codebase.

The purpose of this project is to apply mediapipe to more AI chips.

Unofficial Pytorch implementation of :fire:BlazeFace:fire:

A demo show how to inference blazeface model on Rockchip RV1126.

Tensorflow 2 BlazeFace implementation from scratch with complete training pipeline

The smallest ever JavaScript library for Head Position and Facial Keypoints.

An app using TensorFlow.js as Web Components.

a simple face recognition with Tensorflow Blazeface model built with JavaScript ES6+ and Tensorflow.js

Detecting faces with TensorFlow.js

Full-stack SaaS application. We provide small businesses with all the data they need to ensure mask usage compliance.

Face detector using the BlazeFace Mediapipe model (with both CPU and TPU delegates) written in C++

This project Deepfakes can distort our perception of the truth and we need to develop a strategy to improve their detection. Deep Fakes are increasingly detrimental to privacy, social security, and democracy. We plan to achieve better accuracy in predicting real and fake videos.. https://pypi.org/project/Deep-Fake-Detection/

An Angular App

This project was completed as part of the Deep Learning course (GLO-4030) at Laval University. Its goal is to detect deepfake videos using deep learning techniques on the FaceForensics dataset. We were able to achieve deepfake detection by using the EfficientNet model.

Simple concentration scoring algorithm && Blazeface face detector Tensorflow2.0 implementation. (real-time, on web)

AI Face Detection App is A simple AI-powered application that detects faces in real-time video streams using computer vision

Intelligent song picker for Spotify

An example React app using x-face-detector.

The implementation of BlazeFace network in PyTorch

A site that generates hook up lines based on the image uploaded. Project started from scratch incorporating a dedicated worker and utilizing the blazeface and cocossd tfjs models.

Object Detection App (CDN Version) is a lightweight web application that uses TensorFlow.js to detect objects in images and webcam streams, all running directly in the browser. This CDN-based implementation eliminates the need for Node.js, npm, and build processes by loading all dependencies from content delivery networks, making it easier to run.