v0.6.0
版本发布时间: 2023-08-15 13:20:22
open-mmlab/mmyolo最新发布版本:v0.6.0(2023-08-15 13:20:22)
v0.6.0 (15/8/2023)
Highlights
- Support YOLOv5 instance segmentation
- Support YOLOX-Pose based on MMPose
- Add 15 minutes instance segmentation tutorial.
- YOLOv5 supports using mask annotation to optimize bbox
- Add Multi-scale training and testing docs
New Features
- Add training and testing tricks doc (#659)
- Support setting the cache_size_limit parameter and support mmdet 3.0.0 (#707)
- Support YOLOv5u and YOLOv6 3.0 inference (#624, #744)
- Support model-only inference (#733)
- Add YOLOv8 deepstream config (#633)
- Add ionogram example in MMYOLO application (#643)
Bug Fixes
- Fix the browse_dataset for visualization of test and val (#641)
- Fix installation doc error (#662)
- Fix yolox-l ckpt link (#677)
- Fix typos in the YOLOv7 and YOLOv8 diagram (#621, #710)
- Adjust the order of package imports in
boxam_vis_demo.py
(#655)
Improvements
- Optimize the
convert_kd_ckpt_to_student.py
file (#647) - Add en doc of
FAQ
andtraining_testing_tricks
(#691,#693)
Contributors
A total of 21 developers contributed to this release.
Thank @Lum1104,@azure-wings,@FeiGeChuanShu,@Lingrui Gu,@Nioolek,@huayuan4396,@RangeKing,@danielhonies,@yechenzhi,@JosonChan1998,@kitecats,@Qingrenn,@triple-Mu,@kikefdezl,@zhangrui-wolf,@xin-li-67,@Ben-Louis,@zgzhengSEU,@VoyagerXvoyagerx,@tang576225574,@hhaAndroid