Mmpose

**Highlights**

1. Support 3d video pose estimation (VideoPose3D).
1. Support 3d hand pose estimation (InterNet).
1. Improve presentation of the model zoo.

**New Features**

- Support "InterHand2.6M: A Dataset and Baseline for 3D Interacting Hand Pose Estimation from a Single RGB Image" (ECCV‘20) ([\624](https://github.com/open-mmlab/mmpose/pull/624))
- Support "3D human pose estimation in video with temporal convolutions and semi-supervised training" (CVPR'19) ([\602](https://github.com/open-mmlab/mmpose/pull/602),[\#681](https://github.com/open-mmlab/mmpose/pull/681))
- Support 3d pose estimation demo ([\653](https://github.com/open-mmlab/mmpose/pull/653),[\#670](https://github.com/open-mmlab/mmpose/pull/670))
- Support bottom-up whole-body pose estimation ([\689](https://github.com/open-mmlab/mmpose/pull/689))
- Support mmcli ([\634](https://github.com/open-mmlab/mmpose/pull/634))

**Bug Fixes**

- Fix opencv compatibility ([\635](https://github.com/open-mmlab/mmpose/pull/635))
- Fix demo with UDP ([\637](https://github.com/open-mmlab/mmpose/pull/637))
- Fix bottom-up model onnx convertion ([\680](https://github.com/open-mmlab/mmpose/pull/680))
- Fix `GPU_IDS` in distributed training ([\668](https://github.com/open-mmlab/mmpose/pull/668))
- Fix MANIFEST.in ([\641](https://github.com/open-mmlab/mmpose/pull/641),[\#657](https://github.com/open-mmlab/mmpose/pull/657))
- Fix docs ([\643](https://github.com/open-mmlab/mmpose/pull/643),[\#684](https://github.com/open-mmlab/mmpose/pull/684),[\#688](https://github.com/open-mmlab/mmpose/pull/688),[\#690](https://github.com/open-mmlab/mmpose/pull/690),[\#692](https://github.com/open-mmlab/mmpose/pull/692))

**Breaking Changes**

- Reorganize configs by tasks, algorithms, datasets, and techniques ([\647](https://github.com/open-mmlab/mmpose/pull/647))
- Rename heads and detectors ([\667](https://github.com/open-mmlab/mmpose/pull/667))

**Improvements**

- Add `radius` and `thickness` parameters in visualization ([\638](https://github.com/open-mmlab/mmpose/pull/638))
- Add `trans_prob` parameter in `TopDownRandomTranslation` ([\650](https://github.com/open-mmlab/mmpose/pull/650))
- Switch to `MMCV MODEL_REGISTRY` ([\669](https://github.com/open-mmlab/mmpose/pull/669))
- Update dependencies ([\674](https://github.com/open-mmlab/mmpose/pull/674),[\#676](https://github.com/open-mmlab/mmpose/pull/676))

**Highlights**

1. Support animal pose estimation with 7 popular datasets.
1. Support "A simple yet effective baseline for 3d human pose estimation" (ICCV'17).

**New Features**

- Support "A simple yet effective baseline for 3d human pose estimation" (ICCV'17) ([\554](https://github.com/open-mmlab/mmpose/pull/554),[\#558](https://github.com/open-mmlab/mmpose/pull/558),[\#566](https://github.com/open-mmlab/mmpose/pull/566),[\#570](https://github.com/open-mmlab/mmpose/pull/570),[\#589](https://github.com/open-mmlab/mmpose/pull/589))
- Support animal pose estimation ([\559](https://github.com/open-mmlab/mmpose/pull/559),[\#561](https://github.com/open-mmlab/mmpose/pull/561),[\#563](https://github.com/open-mmlab/mmpose/pull/563),[\#571](https://github.com/open-mmlab/mmpose/pull/571),[\#603](https://github.com/open-mmlab/mmpose/pull/603),[\#605](https://github.com/open-mmlab/mmpose/pull/605))
- Support Horse-10 dataset ([\561](https://github.com/open-mmlab/mmpose/pull/561)), MacaquePose dataset ([\#561](https://github.com/open-mmlab/mmpose/pull/561)), Vinegar Fly dataset ([\#561](https://github.com/open-mmlab/mmpose/pull/561)), Desert Locust dataset ([\#561](https://github.com/open-mmlab/mmpose/pull/561)), Grevy's Zebra dataset ([\#561](https://github.com/open-mmlab/mmpose/pull/561)), ATRW dataset ([\#571](https://github.com/open-mmlab/mmpose/pull/571)), and Animal-Pose dataset ([\#603](https://github.com/open-mmlab/mmpose/pull/603)).
- Support bottom-up pose tracking demo ([\574](https://github.com/open-mmlab/mmpose/pull/574)).
- Support FP16 training ([\584](https://github.com/open-mmlab/mmpose/pull/584),[\#616](https://github.com/open-mmlab/mmpose/pull/616),[\#626](https://github.com/open-mmlab/mmpose/pull/626)).
- Support NMS for bottom-up ([\609](https://github.com/open-mmlab/mmpose/pull/609)).

**Bug Fixes**

- Fix bugs in the top-down demo, when there are no people in the images ([\569](https://github.com/open-mmlab/mmpose/pull/569)).
- Fix the links in the doc ([\612](https://github.com/open-mmlab/mmpose/pull/612)).

**Improvements**

- Speed up top-down inference ([\560](https://github.com/open-mmlab/mmpose/pull/560))
- Update github CI ([\562](https://github.com/open-mmlab/mmpose/pull/562),[\#564](https://github.com/open-mmlab/mmpose/pull/564))
- Update Readme ([\578](https://github.com/open-mmlab/mmpose/pull/578),[\#579](https://github.com/open-mmlab/mmpose/pull/579),[\#580](https://github.com/open-mmlab/mmpose/pull/580),[\#592](https://github.com/open-mmlab/mmpose/pull/592),[\#599](https://github.com/open-mmlab/mmpose/pull/599),[\#600](https://github.com/open-mmlab/mmpose/pull/600),[\#607](https://github.com/open-mmlab/mmpose/pull/607))
- Update Faq ([\587](https://github.com/open-mmlab/mmpose/pull/587),[\#610](https://github.com/open-mmlab/mmpose/pull/610))

**Highlights**

1. Support Wingloss.
2. Support RHD hand dataset.

**New Features**

- Support Wingloss ([\482](https://github.com/open-mmlab/mmpose/pull/482))
- Support RHD hand dataset ([\523](https://github.com/open-mmlab/mmpose/pull/523), [\#551](https://github.com/open-mmlab/mmpose/pull/551))
- Support Human3.6m dataset for 3d keypoint detection ([\518](https://github.com/open-mmlab/mmpose/pull/518), [\#527](https://github.com/open-mmlab/mmpose/pull/527))
- Support TCN model for 3d keypoint detection ([\521](https://github.com/open-mmlab/mmpose/pull/521), [\#522](https://github.com/open-mmlab/mmpose/pull/522))
- Support Interhand3D model for 3d hand detection ([\536](https://github.com/open-mmlab/mmpose/pull/536))
- Support Multi-task detector ([\480](https://github.com/open-mmlab/mmpose/pull/480))

**Bug Fixes**

- Fix PCKh0.1 calculation ([\516](https://github.com/open-mmlab/mmpose/pull/516))
- Fix unittest ([\529](https://github.com/open-mmlab/mmpose/pull/529))
- Fix circular importing ([\542](https://github.com/open-mmlab/mmpose/pull/542))
- Fix bugs in bottom-up keypoint score ([\548](https://github.com/open-mmlab/mmpose/pull/548))

**Improvements**

- Update config & checkpoints ([\525](https://github.com/open-mmlab/mmpose/pull/525), [\#546](https://github.com/open-mmlab/mmpose/pull/546))
- Fix typos ([\514](https://github.com/open-mmlab/mmpose/pull/514), [\#519](https://github.com/open-mmlab/mmpose/pull/519), [\#532](https://github.com/open-mmlab/mmpose/pull/532), [\#537](https://github.com/open-mmlab/mmpose/pull/537), )
- Speed up post processing ([\535](https://github.com/open-mmlab/mmpose/pull/535))
- Update mmcv version dependency ([\544](https://github.com/open-mmlab/mmpose/pull/544))

**Highlights**

1. Support DeepPose algorithm.

**New Features**

- Support DeepPose algorithm ([\446](https://github.com/open-mmlab/mmpose/pull/446), [\#461](https://github.com/open-mmlab/mmpose/pull/461))
- Support interhand3d dataset ([\468](https://github.com/open-mmlab/mmpose/pull/468))
- Support Albumentation pipeline ([\469](https://github.com/open-mmlab/mmpose/pull/469))
- Support PhotometricDistortion pipeline ([\485](https://github.com/open-mmlab/mmpose/pull/485))
- Set seed option for training ([\493](https://github.com/open-mmlab/mmpose/pull/493))
- Add demos for face keypoint detection ([\502](https://github.com/open-mmlab/mmpose/pull/502))

**Bug Fixes**

- Change channel order according to configs ([\504](https://github.com/open-mmlab/mmpose/pull/504))
- Fix `num_factors` in UDP encoding ([\495](https://github.com/open-mmlab/mmpose/pull/495))
- Fix configs ([\456](https://github.com/open-mmlab/mmpose/pull/456))

**Breaking Changes**

- Refactor configs for wholebody pose estimation ([\487](https://github.com/open-mmlab/mmpose/pull/487), [\#491](https://github.com/open-mmlab/mmpose/pull/491))
- Rename `decode` function for heads ([\481](https://github.com/open-mmlab/mmpose/pull/481))

**Improvements**

- Update config & checkpoints ([\453](https://github.com/open-mmlab/mmpose/pull/453),[\#484](https://github.com/open-mmlab/mmpose/pull/484),[\#487](https://github.com/open-mmlab/mmpose/pull/487))
- Add README in Chinese ([\462](https://github.com/open-mmlab/mmpose/pull/462))
- Add tutorials about configs ([\465](https://github.com/open-mmlab/mmpose/pull/465))
- Add demo videos for various tasks ([\499](https://github.com/open-mmlab/mmpose/pull/499), [\#503](https://github.com/open-mmlab/mmpose/pull/503))
- Update docs about MMPose installation ([\467](https://github.com/open-mmlab/mmpose/pull/467), [\#505](https://github.com/open-mmlab/mmpose/pull/505))
- Rename `stat.py` to `stats.py` ([\483](https://github.com/open-mmlab/mmpose/pull/483))
- Fix typos ([\463](https://github.com/open-mmlab/mmpose/pull/463), [\#464](https://github.com/open-mmlab/mmpose/pull/464), [\#477](https://github.com/open-mmlab/mmpose/pull/477), [\#481](https://github.com/open-mmlab/mmpose/pull/481))
- latex to bibtex ([\471](https://github.com/open-mmlab/mmpose/pull/471))
- Update FAQ ([\466](https://github.com/open-mmlab/mmpose/pull/466))

**Highlights**

1. Support fashion landmark detection.
1. Support face keypoint detection.
1. Support pose tracking with MMTracking.

**New Features**

- Support fashion landmark detection (DeepFashion) ([\413](https://github.com/open-mmlab/mmpose/pull/413))
- Support face keypoint detection (300W, AFLW, COFW, WFLW) ([\367](https://github.com/open-mmlab/mmpose/pull/367))
- Support pose tracking demo with MMTracking ([\427](https://github.com/open-mmlab/mmpose/pull/427))
- Support face demo ([\443](https://github.com/open-mmlab/mmpose/pull/443))
- Support AIC dataset for bottom-up methods ([\438](https://github.com/open-mmlab/mmpose/pull/438), [\#449](https://github.com/open-mmlab/mmpose/pull/449))

**Bug Fixes**

- Fix multi-batch training ([\434](https://github.com/open-mmlab/mmpose/pull/434))
- Fix sigmas in AIC dataset ([\441](https://github.com/open-mmlab/mmpose/pull/441))
- Fix config file ([\420](https://github.com/open-mmlab/mmpose/pull/420))

**Breaking Changes**

- Refactor Heads ([\382](https://github.com/open-mmlab/mmpose/pull/382))

**Improvements**

- Update documentation ([\409](https://github.com/open-mmlab/mmpose/pull/409), [\#412](https://github.com/open-mmlab/mmpose/pull/412), [\#415](https://github.com/open-mmlab/mmpose/pull/415), [\#416](https://github.com/open-mmlab/mmpose/pull/416), [\#419](https://github.com/open-mmlab/mmpose/pull/419), [\#421](https://github.com/open-mmlab/mmpose/pull/421), [\#422](https://github.com/open-mmlab/mmpose/pull/422), [\#424](https://github.com/open-mmlab/mmpose/pull/424), [\#425](https://github.com/open-mmlab/mmpose/pull/425), [\#435](https://github.com/open-mmlab/mmpose/pull/435), [\#436](https://github.com/open-mmlab/mmpose/pull/436), [\#437](https://github.com/open-mmlab/mmpose/pull/437), [\#444](https://github.com/open-mmlab/mmpose/pull/444), [\#445](https://github.com/open-mmlab/mmpose/pull/445))
- Add GAP (global average pooling) neck ([\414](https://github.com/open-mmlab/mmpose/pull/414))
- Speed up ([\411](https://github.com/open-mmlab/mmpose/pull/411), [\#423](https://github.com/open-mmlab/mmpose/pull/423))
- Support COCO test-dev test ([\433](https://github.com/open-mmlab/mmpose/pull/433))

**Highlights**

1. Support more human pose estimation methods.
- [UDP](https://arxiv.org/abs/1911.07524)
1. Support pose tracking.
1. Support multi-batch inference.
1. Add some useful tools, including `analyze_logs`, `get_flops`, `print_config`.
1. Support more backbone networks.
- [ResNest](https://arxiv.org/pdf/2004.08955.pdf)
- [VGG](https://arxiv.org/abs/1409.1556)

**New Features**

- Support UDP ([\353](https://github.com/open-mmlab/mmpose/pull/353), [\#371](https://github.com/open-mmlab/mmpose/pull/371), [\#402](https://github.com/open-mmlab/mmpose/pull/402))
- Support multi-batch inference ([\390](https://github.com/open-mmlab/mmpose/pull/390))
- Support MHP dataset ([\386](https://github.com/open-mmlab/mmpose/pull/386))
- Support pose tracking demo ([\380](https://github.com/open-mmlab/mmpose/pull/380))
- Support MPII-TRB demo ([\372](https://github.com/open-mmlab/mmpose/pull/372))
- Support MobileNet for hand pose estimation ([\377](https://github.com/open-mmlab/mmpose/pull/377))
- Support ResNest backbone ([\370](https://github.com/open-mmlab/mmpose/pull/370))
- Support VGG backbone ([\370](https://github.com/open-mmlab/mmpose/pull/370))
- Add some useful tools, including `analyze_logs`, `get_flops`, `print_config` ([\324](https://github.com/open-mmlab/mmpose/pull/324))

**Bug Fixes**

- Fix bugs in pck evaluation ([\328](https://github.com/open-mmlab/mmpose/pull/328))
- Fix model download links in README ([\396](https://github.com/open-mmlab/mmpose/pull/396), [\#397](https://github.com/open-mmlab/mmpose/pull/397))
- Fix CrowdPose annotations and update benchmarks ([\384](https://github.com/open-mmlab/mmpose/pull/384))
- Fix modelzoo stat ([\354](https://github.com/open-mmlab/mmpose/pull/354), [\#360](https://github.com/open-mmlab/mmpose/pull/360), [\#362](https://github.com/open-mmlab/mmpose/pull/362))
- Fix config files for AIC datasets ([\340](https://github.com/open-mmlab/mmpose/pull/340))

**Breaking Changes**

- Rename `image_thr` to `det_bbox_thr` for top-down methods.

**Improvements**

- Organize the readme files ([\398](https://github.com/open-mmlab/mmpose/pull/398), [\#399](https://github.com/open-mmlab/mmpose/pull/399), [\#400](https://github.com/open-mmlab/mmpose/pull/400))
- Check linting for markdown ([\379](https://github.com/open-mmlab/mmpose/pull/379))
- Add faq.md ([\350](https://github.com/open-mmlab/mmpose/pull/350))
- Remove PyTorch 1.4 in CI ([\338](https://github.com/open-mmlab/mmpose/pull/338))
- Add pypi badge in readme ([\329](https://github.com/open-mmlab/mmpose/pull/329))