Detect if web fonts are available
JavaScript API for face detection and face recognition in the browser with tensorflow.js
An interface package for Face Detector
This package adds a WebAssembly backend to TensorFlow.js. It currently supports the following models from our [models](https://github.com/tensorflow/tfjs-models) repo: - BlazeFace - BodyPix - CocoSSD - Face landmarks detection - HandPose - KNN classifier
Pretrained face landmarks detection model
Mediapipe Face Detection Solution
Pretrained face detection model
Pretrained face detection model in TensorFlow.js
Human: AI-powered 3D Face Detection & Rotation Tracking, Face Description & Recognition, Body Pose Tracking, 3D Hand & Finger Tracking, Iris Analysis, Age & Gender & Emotion Prediction, Gesture Recognition
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
React hook to detect if web fonts are available 🪝
Scrypted Video Analysis Plugin. Installed alongside a detection service like OpenCV or TensorFlow.
Lets you use the power of Google Mobile Vision (https://developers.google.com/vision/face-detection-concepts) framework to detect faces on images.
FaceAPI: AI-powered Face Detection & Rotation Tracking, Face Description & Recognition, Age & Gender & Emotion Prediction for Browser and NodeJS using TensorFlow/JS
MediaPipe face landmark detection neural network model for Unity Barracuda
MediaPipe face landmark detection neural network model for Unity Barracuda
MediaPipe BlazeFace face detection neural network model for Unity Barracuda
Fire. Base. Firebase!
Expo interface package for Face Detector
Detect if web fonts are available
Asynchronous OpenCV 3.x nodejs bindings with JavaScript and TypeScript API.
Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
Identity-Tech Web component is a javascript library to enable capturing of face and ID Cards. The library supports selfie and portrait capturing, ID Card scanning for OCR, and matching between face captured and face on the ID Card.
VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector
This package adds a GPU accelerated [WebGPU](https://www.w3.org/TR/webgpu/) backend to TensorFlow.js. It currently supports the following models: - BlazeFace - BodyPix - Face landmarks detection - HandPose - MobileNet - PoseDetection - Universal sentence
MediaPipe MoveNet multiple-pose detection in Unity Engine.
Fire. Base. Firebase!
Face detection React hook powered by @mediapipe/face_detection, @mediapipe/camera_utils, react-webcam
Asynchronous OpenCV 3.x / 4.x nodejs bindings with JavaScript and TypeScript API.
Pose detection with MediaPipe BlazePose.
react-native face detection using Google MLKit
Pose detection with MediaPipe BlazePose.
MediaPipe BlazeFace for face detection in Unity Engine.
Realtime 3D pose detection with MoveNet.
Asynchronous OpenCV 4.x nodejs bindings with JavaScript and TypeScript API.
Realtime pose detection with MediaPipe MoveNet.
Palm landmark prediction with MediaPipe Hands in Unity Engine.
Angular 6+ library integration for OpenCV.js
Realtime single-stage face detector in Unity Engine.
CenterFace anchor-free face detection in Unity Engine.
Ultra-high performance face detection in Unity Engine.
Ultra-light fast generic face detector.
Simple Node.js API for robust face detection and face recognition.
VisionCamera Frame Processor Plugin to detect faces using MLKit Vision Face Detector
Detect Font using Javascript & @font-face.