Support rotated YOLOv5
Describe the feature This issue describes the development requirement of a feature we wish to collaborate with the community. In this issue, we welcome community developers to participate in the development of YOLOV5. Steps Implement the RotatedYOLOV5Head Benchmark the performance Prepare and release the models
Related resources If there is an official code release or third-party implementations, please also provide the information here, which would be very helpful. https://github.com/open-mmlab/mmdetection/tree/master/configs/yolo https://github.com/open-mmlab/mmdetection/blob/master/mmdet/models/dense_heads/yolo_head.py https://github.com/hukaixuan19970627/yolov5_obb
Thanks for your advice. In fact, we are planning to support this algorithm in mmyolo.
Thanks for your advice. In fact, we are planning to support this algorithm in mmyolo. It's good news. I look forward to this version.
YOLOX is now accessible. https://github.com/open-mmlab/mmrotate/pull/409
YOLOX is now accessible. #409
Thanks for providing this news. Is it done? Is it ready to use?
It is ready to use.
It is ready to use.
Thanks for your reply. I will try this method.
Look forward to its arrival, and Rotate YOLOv7