Lena.js
A tiny library for image processing. It offers various effects such as: gaussian, grayscale, highpass, invert, laplacian, prewitt, rgb, roberts, saturation, sepia, sharpen, sobel, thresholding, lowpass 3×3 and lowpass 5×5.
Code Libraries
brain.js
Powerful library for working with neural networks in a JavaScript environment. The project has great documentation with lots of examples that will help you get you up to speed with some machine learning techniques.
Node-RED
Node-RED is a programming tool for wiring together hardware devices, APIs and online services in new and interesting ways. It provides a browser-based editor that makes it easy to wire together flows using the wide range of nodes in the palette that can be deployed to its runtime in a single-click.
GammaCV
GammaCV is a WebGL accelerated computer vision browser-side library. It uses a data flow paradigm to create and run graphs on the GPU. This enables the robust image processing and feature extraction capabilities of the library.
jeelizWeboji
A real-time face tracking and expression detection library using a standard webcam.
ml5
ml5.js aims to make machine learning accessible to a broad audience of artists, creative coders, and students. The library provides access to machine learning algorithms and models in the browser, building on top of TensorFlow.js with no other external dependencies.
pico.js
The pico.js library enables the detection of faces in images. It has real-time detection capabilities (200+ FPS in a practical setting).
TensorFlow.js
A WebGL accelerated, browser-based library for training and deploying machine learning models.
CreateJS
A suite of modular libraries and tools which work together or independently to enable rich interactive content on open web technologies via HTML5.
Opencv4nodejs
Opencv4nodejs is an npm package, which provides Node.js bindings to OpenCV and OpenCV-contrib through an asynchronous API. The package brings all the performance benefits of the native OpenCV library to your Node.js application and allows to easily implement multithreaded CV tasks via Promises.