MMYOLO releases v0.6.0

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 and training_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