Hi, I'm Abhishek (Abhi) Thakur , an AI Engineer and passionate open-source creator/maintainer. I have over 4+ years of experience in open-source contributions and software development, and I'm dedicated to building high-performance, easy-to-use tools for developers, especially in the Computer Vision and ML spaces.

In 2019, I released the first version of Vidgear, which has grown into a powerful, multi-threaded Python framework for video processing. It's designed to easily integrate and perform Complex Video Processing Tasks with state-of-the-art CV libraries, in just a few lines of code. It's now used by major organizations like Meta (Facebook Research) and Pirxel-Ai and has over 3.6k stars.

I've invested thousands of hours into building and maintaining this and other projects—all while working and pursuing my Master's degree. My other key projects include:

• DeFFcode: A high-performance FFmpeg decoder used by institutions like Boston University, with 211 stars.
• raspberry-pi-cross-compilers: A critical, CI-maintained toolchain for Raspberry Pi developers with 659 stars.

If Vidgear, DeFFcode, or my other tools have helped you or your company save valuable time and money, please consider supporting my work by becoming a sponsor.

Sponsorships allow me to dedicate more time to these projects: fixing bugs immediately, adding new features, and providing better support to the community. You're actively helping me keep these tools reliable, fast, and cutting-edge.

❗️ Commercial Use
If you're a corporation earning revenue using my software, please choose a tier that reflects that. Your support ensures the long-term stability and maintenance of tools your business relies on.

💳 Alternative Links
You can also sponsor @abhiTronix on Ko-fi as an alternative to GitHub Sponsors.

Thank you for supporting open-source innovation 🙏