Exploring the possibilities of combining OpenCV with web technologies like Javascript

I am currently faced with the challenge of integrating OpenCV into a web application using Express.js. While I am familiar with the Python and C++ libraries for OpenCV, I now need to work with it in conjunction with Express.js. My main requirements include object detection, feature detection (specifically SIFT), and basic functions from the machine learning module.

After doing some research, I came across the opencvjs project at https://github.com/ucisysarch/opencvjs. However, I have some reservations about this solution. Does anyone have experience working with this project? From what I understand, it requires setting up the emscripten SDK to compile the OpenCV library into JavaScript. I previously tried another JS implementation, but found it to be quite slow. Additionally, it appears that opencvjs does not offer extra modules for SURF or SIFT.

javascriptopencvexpressmachine-learningfeature-detection

Answer №1

As far as I am aware, Opencvjs is specifically designed for use in web browsers. If you're interested, I recommend checking out my npm package at https://github.com/justadudewhohacks/opencv4nodejs. This package offers JavaScript bindings to opencv3 and currently supports features like Support Vector Machines, HOG, face detection, feature detection, and matching. Although machine learning functionalities are not yet fully implemented, you can still utilize various useful tools like SIFT and SURF if you compile the library with extra modules.

This package can be effectively utilized for server-side computer vision tasks, whether it be with express, electron, or within a Docker container environment.

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