#YOLOX

YOLOX provides an efficient anchor-free object detection model, optimizing both accuracy and speed. Bridging research and practice, it supports PyTorch and MegEngine, includes JIT compile operations, and promises enhancements like YOLOX-P6. Explore the GitHub repository for demos and further insights.

GDRNPP_BOP2022 offers comprehensive tools and models for 6D pose estimation as featured in the BOP Challenge 2022. The repository includes resources for dataset setup, model downloads, and uses yolox for advanced detection. It provides upgraded Pose Estimation methods with a Convnext backbone and dual mask capabilities and includes depth-based techniques for enhanced pose refinement.