Highlights

• Release RTMPose, a high-performance real-time pose estimation algorithm with cross-platform deployment and inference support. See details at the project page
• Support several new algorithms: ViTPose (arXiv'2022), CID (CVPR'2022), DEKR (CVPR'2021)
• Add Inferencer, a convenient inference interface that perform pose estimation and visualization on images, videos and webcam streams with only one line of code
• Introduce Project, a new form for rapid and easy implementation of new algorithms and features in MMPose, which is more handy for community contributors

New Features

• Support RTMPose (#1971, #2024, #2028, #2030, #2040, #2057)
• Support Inferencer (#1969)
• Support ViTPose (#1876, #2056, #2058， #2065)
• Support CID (#1907)
• Support DEKR (#1834, #1901)
• Support training with multiple datasets (#1767, #1930, #1938, #2025)
• Add project to allow rapid and easy implementation of new models and features (#1914)

Improvements

• Improve documentation quality (#1846, #1858, #1872, #1899, #1925, #1945, #1952, #1990, #2023, #2042)
• Support visualizing keypoint indices (#2051)
• Support OpenPose style visualization (#2055)
• Accelerate image transpose in data pipelines with tensor operation (#1976)
• Support auto-import modules from registry (#1961)
• Support keypoint partition metric (#1944)
• Support SimCC 1D-heatmap visualization (#1912)
• Support saving predictions and data metainfo in demos (#1814, #1879)
• Support SimCC with DARK (#1870)
• Remove Gaussian blur for offset maps in UDP-regress (#1815)
• Refactor encoding interface of Codec for better extendibility and easier configuration (#1781)
• Support evaluating CocoMetric without annotation file (#1722)
• Improve unit tests (#1765)

Bug Fixes

• Fix repeated warnings from different ranks (#2053)
• Avoid frequent scope switching when using mmdet inference api (#2039)
• Remove EMA parameters and message hub data when publishing model checkpoints (#2036)
• Fix metainfo copying in dataset class (#2017)
• Fix top-down demo bug when there is no object detected (#2007)
• Fix config errors (#1882, #1906, #1995)
• Fix image demo failure when GUI is unavailable (#1968)
• Fix bug in AdaptiveWingLoss (#1953)
• Fix incorrect importing of RepeatDataset which is deprecated (#1943)
• Fix bug in bottom-up datasets that ignores images without instances (#1752, #1936)
• Fix upstream dependency issues (#1867, #1921)
• Fix evaluation issues and update results (#1763, #1773, #1780, #1850, #1868)
• Fix local registry missing warnings (#1849)
• Remove deprecated scripts for model deployment (#1845)
• Fix a bug in input transformation in BaseHead (#1843)
• Fix an interface mismatch with MMDetection in webcam demo (#1813)
• Fix a bug in heatmap visualization that causes incorrect scale (#1800)
• Add model metafiles (#1768)

New Contributors

• @ChenZhenGui made their first contribution in https://github.com/open-mmlab/mmpose/pull/1800
• @LareinaM made their first contribution in https://github.com/open-mmlab/mmpose/pull/1845
• @xinxinxinxu made their first contribution in https://github.com/open-mmlab/mmpose/pull/1843
• @jack0rich made their first contribution in https://github.com/open-mmlab/mmpose/pull/1912
• @zwfcrazy made their first contribution in https://github.com/open-mmlab/mmpose/pull/1944
• @LKJacky made their first contribution in https://github.com/open-mmlab/mmpose/pull/2024
• @tongda made their first contribution in https://github.com/open-mmlab/mmpose/pull/2028
• @LRuid made their first contribution in https://github.com/open-mmlab/mmpose/pull/2055
• @Zheng-LinXiao made their first contribution in https://github.com/open-mmlab/mmpose/pull/2057

Full Changelog: https://github.com/open-mmlab/mmpose/compare/v1.0.0rc0...v1.0.0rc1