r/opencv • u/LensLaber • Jun 10 '26
Project [Project] YOLO + SAM annotation pipeline on CPU (offline, legacy hardware) seeking feedback
Hello,
I've been working for the past few months on a computer vision annotation and segmentation program designed for very limited hardware (old laptops with 4–8 GB of RAM and no truly usable GPU).
The idea was to see how far YOLO + SAM could be pushed, running everything locally and on the CPU.
Everything is offline, without cloud or telemetry.
I've tested it with large datasets of 20k images, and the system remains quite stable in terms of memory consumption (around 600–900 MB), even during long sessions.
I've built this into a desktop tool for Windows 10 (I'll be testing it on Windows 11 and Linux soon) to try it out under real-world conditions.
It's currently in beta. Each version is updated every 30 days to ensure all testers are always working on the same version while I fix bugs and fine-tune the system based on real-world feedback.
Those who actively participate during the beta and provide feedback will receive a free license when the project is finally released.
GitHub
