Finally, Computer Vision in Go without the boilerplate.
I love writing Computer Vision apps in Go, but I hate the setup. Managing Mat memory manually, handling window events, and recompiling just to tweak a threshold value is painful.
So I built a framework to fix it.
Introducing GoCVKit v0.1.1 – A modular, zero-boilerplate wrapper for OpenCV and GoCV in Go.
It handles the boring stuff so you can focus on the algorithms.
Why use it?
Live Hot-Reload: Tweak your pipeline parameters in config.toml and see the changes instantly. No restart required.
Zero Leaks: Automatic double-buffered memory management.
10 Lines of Code: That’s all you need to start a webcam stream with a full processing pipeline.
Plugin System: Add custom filters by simply defining a struct.
It’s open source and available now. I’d love for you to try it out and let me know what you think!
Try it here
https://github.com/Elliot727/gocvkit
I love writing Computer Vision apps in Go, but I hate the setup. Managing Mat memory manually, handling window events, and recompiling just to tweak a threshold value is painful.
So I built a framework to fix it. Introducing GoCVKit v0.1.1 – A modular, zero-boilerplate wrapper for OpenCV and GoCV in Go.
It handles the boring stuff so you can focus on the algorithms.
Why use it? Live Hot-Reload: Tweak your pipeline parameters in config.toml and see the changes instantly. No restart required.
Zero Leaks: Automatic double-buffered memory management. 10 Lines of Code: That’s all you need to start a webcam stream with a full processing pipeline.
Plugin System: Add custom filters by simply defining a struct. It’s open source and available now. I’d love for you to try it out and let me know what you think! Try it here https://github.com/Elliot727/gocvkit