mirror of https://github.com/open-mmlab/mmyolo.git
1.6 KiB
1.6 KiB
Changelog
v0.1.1(29/9/2022)
Based on MMDetection's RTMDet high precision and low latency object detection algorithm, we have also released RTMDet and provided a Chinese document on the principle and implementation of RTMDet.
Highlights
Bug Fixes
- Fix some documentation errors (#66, #72, #76, #83, #86)
- Fix checkpoints link error (#63)
- Fix the bug that the output of
LetterResize
does not meet the expectation when usingimscale
(#105)
Improvements
- Reducing the size of docker images (#67)
- Simplifying
Compose
Logic inBaseMixImageTransform
(#71) - Supports dump results in
test.py
(#84)
Contributors
A total of 13 developers contributed to this release.
Thank @wanghonglie, @hhaAndroid, @yang-0201, @PeterH0323, @RangeKing, @satuoqaq, @Zheng-LinXiao, @xin-li-67, @suibe-qingtian, @MambaWong, @MichaelCai0912, @rimoire, @Nioolek
v0.1.0(21/9/2022)
We have released MMYOLO open source library, which is based on MMEngine, MMCV 2.x and MMDetection 3.x libraries. At present, the object detection has been realized, and it will be expanded to multi-task in the future.
Highlights
- Support YOLOv5/YOLOX training, support YOLOv6 inference. Deployment will be supported soon.
- Refactored YOLOX from MMDetection to accelerate training and inference.
- Detailed introduction and advanced tutorials are provided, see the English tutorial.