[SkalskiP]

Hi @eloisus! I'm the creator of Supervision. Over the years, I've noticed that there are certain code snippets I find myself rewriting for each of my computer vision projects. My friends in the field have expressed similar frustrations. While OpenCV is fantastic, it can be verbose, and its API is often inconsistent and hard to remember.

Regarding "drawing detections on an image or video," we aim for maximum flexibility. We offer 18 different annotators for detection and segmentation models, available at https://supervision.roboflow.com/latest/annotators. Each annotator is customizable and can be combined with others. Moreover, we strive to simplify the integration of these annotators with the most popular computer vision libraries.

Edit: I just check your LinkedIn. I think we met on CVPR last year.

[eloisius]

Totally agree on OpenCV's Python API being hard to use. If your goals are to build something as foundational as OpenCV, but with a Python-native interface I'd be excited about that.

I hope I don't come off as critical, I appreciate the work you're doing. I'd really like to see this take off. My only point is that tasks like annotating a video with tracking are things I've only seen in demos. If I could custom-order the reusable parts I want, it would include geometry, camera transforms, lens distortion, etc. Your polygon zone filtering looks imminently useful. Maybe I should shut up and just contribute something.

I remember meeting you! Maybe I'll see you in Seattle this year.

[SkalskiP]

Oh my, if you'd like to contribute lens distortion removal... That would make me super happy!

I'm 95% sure I'll be in Seattle this year.