欢迎来到YOLOv7的中文官方文档!
YOLOv7 (/lu’make/) is a detection and instance segmentation training framework. It provides massively archs and heads for users quickly experiment on different combinations. It’s out of box to use but much more less complex than mmdetection or detectron2, instead, YOLOv7 built upon detection2, but keep it as simple as possible. Users only need to concern on their model design.
This doc is still under construction.
Check out the Usage section for further information, including how to Installation the project.
Note
This project is under active development.