11 Best NodeJS Computer Vision Libraries

Here are the best open-source NodeJS computer vision libraries for your applications. You can use these components to build applications that can analyze, process and extract information from images and videos.

NodeJS is a server-side JavaScript platform that has been gaining immense popularity among developers due to its event-driven, non-blocking I/O model and ability to handle multiple requests simultaneously. The platform provides a rich ecosystem of libraries and tools, including several computer vision libraries. Node.js libraries offer various tools to perform computer vision tasks, such as object detection, image classification, and face recognition. These libraries range from basic image processing libraries to more advanced libraries for object tracking and OCR. Also, some libraries provide Optical Character Recognition (OCR) capabilities, allowing developers to extract text from images and convert it into a machine-readable format. Moreover, they are highly optimized for performance and accuracy.

We have handpicked the top and tending open-source NodeJS computer vision libraries that offer various capabilities for understanding and manipulating visual information from the real world through your application.

OpenCV:

• Used for computer vision, image processing tasks, and machine learning.
• Supports a wide range of video processing functions.
• Offers support for cross-platform application development.

TensorFlow.js:

• Used for building and training models, including computer vision models.
• Provides a high-level API.
• Contains the logic and scripts that combine several packages.

Tracking.js:

• Used for real-time object tracking and face detection.
• Employs different computer vision algorithms and techniques in the browser environment.
• Enables real-time color tracking, face detection, and much more.

Brain.js:

• Used in Artificial Intelligence, Machine Learning, Deep Learning, TensorFlow, and Neural Network applications.
• It’s a fast and simple neural network library for Node.js.
• Supports computer vision tasks, such as image classification and object detection.

Face-API:

• Used for real-time face detection and recognition.
• Also detects facial expression and provide output as Happy, sad, natural, etc.
• Build using deep learning algorithms.
• Supports HTML, CSS, and JavaScript. 

p5.js-pose:

• Used for real-time human pose estimation and tracking.
• Focuses on creative coding for artists, designers, educators, and beginners.
• Provides simple and intuitive tools using computer vision algorithms.

Imageprocessing-labs:

• Used in Artificial Intelligence, Computer Vision, Deep Learning, and OpenCV applications.
• Allows image processing and machine learning on the web browser or node.
• Offers features like Stereo Matching, Poisson Image Editing, Line Segment Detector, Corner Detection, 3D Shape Drawing, etc.

FILTER.js:

• Used for processing images/video in pure JavaScript using HTML5.
• Allows image and processing on the web browsers (chrome, Firefox, opera, etc.) and node.
• Offers features like Canvas, WebWorkers, WebGL, and SVG (in progress) or analogs in Node.js.

GammaCV:

• Used in Artificial Intelligence, Computer Vision, Deep Learning, TensorFlow, OpenCV, and WebGL applications.
• Enables robust image processing and feature extraction.
• Uses a data flow paradigm to create and run graphs on GPU.

Canvas:

• Used for image manipulation and generation in NodeJS.
• Provides support for operations such as drawing shapes, text, and images.
• The minimum version of Node.js required is 6.0.0.
• Supports various operating systems.

SimpleCV:

• Used in Artificial Intelligence, Computer Vision, and OpenCV applications.
• It’s a high-level library that simplifies computer vision programming.
• Performs tasks such as object detection, face recognition, and image classification.