Search Packages

yolo-mslesseg

End-to-end pipeline for the automatic segmentation and evaluation of multiple sclerosis lesions in MRI images, built upon YOLOv11n-seg.

uitag

Set-of-Mark detection pipeline for macOS — Apple Vision, YOLO11, and VLM on MLX. Transforms screenshots into numbered element maps and structured JSON manifests.

yolomosaic

A Python library for visualizing YOLO detections and segmented instances on large orthomosaic images, with the ability to generate shapefiles for GIS integration

somflow

Set-of-Mark detection pipeline for macOS — Apple Vision, YOLO11, and VLM on MLX. Transforms screenshots into numbered element maps and structured JSON manifests.

hawkeyezero

Hawkeye-Zero - special trained model to detect 11 diffrent types of space debris. The idea wasn’t to build a perfect system — just to explore how far object detection can go in real-world space debris applications. Also very important thing was to care about easy and quick access to use model functions and data, so I've created special structure for this project to allowed developers to use model in diffrent environments in API's or as a simple python tool.

usls

Useless CV toolkits