EmojiChat is a based on a simple concept: It tracks your and head position and facial expressions in real-time and puts an Emoji on top of your head that represents your current mood.
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Jul 10, 2017 - TypeScript
EmojiChat is a based on a simple concept: It tracks your and head position and facial expressions in real-time and puts an Emoji on top of your head that represents your current mood.
FaceDetect Ionic & Service Cognitives
A working example of how to analyze the facial attributes of a person in an image. Powered by Microsoft FaceAPI; written in Typescript
Photomy is scalable, secure and private photo gallery that recognizes people in your images and groups them together.
A Project that demo a talking detector using tensorflow.js
Kaia.ai platform's JS client library
PoC for CCExtactor at GSoC'19
JavaScript API for face detection and face recognition in the browser and nodejs with tensorflow.js
angular machine learning face expression
Face Recognition with Azure Cognitive Services. Analyzes the images and saves output to MongoDB (azure cosmos)
Detect faces from an image using Clarifai's Face Detection Model. Built with React & TypeScript.
Playground project for Camera face tracking and audio tracking
Detects faces with AI.
Moody is a web application allowing the host of online meetings (e.g. via Zoom, Microsoft Teams or Google Meet) to collect real-time feedback of the participant's emotions.
My graduation design project, a face recognition service based on SeetaFaceEngine.
An example implementation of a real-time facial recognition server with OpenVidu, Node.js and Python.
Angular directives for face detection and face recognition in the browser.
基于计算机视觉的二次元 ACG 图片自动接头工具
🎯 A facial recognition/detection app with Angular using Microsoft's Face API
DBFace: Face Detection for TFJS and NodeJS
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