face-detection

The world's simplest facial recognition api for Python and the command line

State-of-the-art 2D and 3D Face Analysis Project

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

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

Face recognition using Tensorflow

Content aware image resize library

A Camera component for React Native. Also supports barcode scanning!

Leading free and open-source face recognition system

:fire: 2D and 3D Face alignment library build using pytorch

记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

MetaTube Plugin for Jellyfin/Emby

A collection of sample apps to demonstrate how to use Google's ML Kit APIs on Android and iOS

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

The Python Code Tutorials

An extension that gives UIImageView the ability to focus on faces within an image.

🎭 Lightweight WebGL & JavaScript library for real-time multi-face detection, tracking and augmented-reality face filters. Supports rotation, mouth-opening and integrates with Three.js, Babylon.js, Canvas2D and CSS3D

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

The collection of pre-trained, state-of-the-art AI models for ailia SDK