v0.19.0
版本发布时间: 2021-10-09 00:15:19
open-mmlab/mmpose最新发布版本:v1.3.2(2024-07-12 20:18:03)
Highlights
- Add models for Associative Embedding with Hourglass network backbone (#906, #955) @jin-s13, @luminxu
- Support COCO-Wholebody-Face and COCO-Wholebody-Hand datasets (#813) @jin-s13, @innerlee, @luminxu
- Upgrade dataset interface (#901, #924) @jin-s13, @innerlee, @ly015, @liqikai9
- New style of documentation (#945) @ly015
New Features
- Add models for Associative Embedding with Hourglass network backbone (#906, #955) @jin-s13, @luminxu
- Support COCO-Wholebody-Face and COCO-Wholebody-Hand datasets (#813) @jin-s13, @innerlee, @luminxu
- Add pseudo-labeling tool to generate COCO style keypoint annotations with given bounding boxes (#928) @soltkreig
- New style of documentation (#945) @ly015
Bug Fixes
- Fix segmentation parsing in Macaque dataset preprocessing (#948) @jin-s13
- Fix dependencies that may lead to CI failure in downstream projects (#936, #953) @RangiLyu, @ly015
- Fix keypoint order in Human3.6M dataset (#940) @ttxskk
- Fix unstable image loading for Interhand2.6M (#913) @zengwang430521
Improvements
- Upgrade dataset interface (#901, #924) @jin-s13, @innerlee, @ly015, @liqikai9
- Improve demo usability and stability (#908, #934) @ly015
- Standardize model metafile format (#941) @ly015
- Support
persistent_worker
and several other arguments in configs (#946) @jin-s13 - Use MMCV root model registry to enable cross-project module building (#935) @RangiLyu
- Improve the document quality (#916, #909, #942, #913, #956) @jin-s13, @ly015, @bit-scientist, @zengwang430521
- Improve pull request template (#952, #954) @ly015
Breaking Changes
- Upgrade dataset interface (#901) @jin-s13, @innerlee, @ly015