#RTMDet

Explore a versatile PyTorch-based toolbox for various detection tasks, emphasizing GPU-optimized efficiency and top-tier results. MMDetection, part of OpenMMLab, excels in object detection, instance, and panoptic segmentation, ensuring seamless customization and integration with open-source tools. It features cutting-edge solutions like RTMDet for real-time needs, balancing parameter and accuracy across model sizes. Enhanced with MMEngine for robust model training and MMCV for computer vision, it's an excellent resource for advanced research and practical applications.

MMYOLO is an open-source toolbox in the OpenMMLab ecosystem designed for implementing YOLO series algorithms. It supports features like YOLOv5 instance segmentation and the real-time object detector RTMDet. The platform is optimized for speed and accuracy in tasks such as object detection, rotated object detection, and instance segmentation. Developed on PyTorch and MMDetection, it boasts extensive documentation and modular design. Training is significantly accelerated, achieving speeds 2.6 times faster than earlier versions. This toolkit is ideal for developers focusing on high-performance computer vision solutions.