Mmpose

**Highlights**

1. Support more human pose estimation methods.
- [MSPN](https://arxiv.org/abs/1901.00148)
- [RSN](https://arxiv.org/abs/2003.04030)
2. Support video pose estimation datasets.
- [sub-JHMDB](http://jhmdb.is.tue.mpg.de/dataset)
3. Support Onnx model conversion.

**New Features**

- Support MSPN ([278](https://github.com/open-mmlab/mmpose/pull/278))
- Support RSN ([221](https://github.com/open-mmlab/mmpose/pull/221), [#318](https://github.com/open-mmlab/mmpose/pull/318))
- Support new post-processing method for MSPN & RSN ([288](https://github.com/open-mmlab/mmpose/pull/288))
- Support sub-JHMDB dataset ([292](https://github.com/open-mmlab/mmpose/pull/292))
- Support urls for pre-trained models in config files ([232](https://github.com/open-mmlab/mmpose/pull/232))
- Support Onnx ([305](https://github.com/open-mmlab/mmpose/pull/305))

**Bug Fixes**

- Fix model download links in README ([255](https://github.com/open-mmlab/mmpose/pull/255), [#315](https://github.com/open-mmlab/mmpose/pull/315))

**Breaking Changes**

- `post_process=True|False` and `unbiased_decoding=True|False` are deprecated, use `post_process=None|default|unbiased` etc. instead ([288](https://github.com/open-mmlab/mmpose/pull/288))

**Improvements**

- Enrich the model zoo ([256](https://github.com/open-mmlab/mmpose/pull/256), [#320](https://github.com/open-mmlab/mmpose/pull/320))
- Set the default map_location as 'cpu' to reduce gpu memory cost ([227](https://github.com/open-mmlab/mmpose/pull/227))
- Support return heatmaps and backbone features for bottom-up models ([229](https://github.com/open-mmlab/mmpose/pull/229))
- Upgrade mmcv maximum & minimum version ([269](https://github.com/open-mmlab/mmpose/pull/269), [#313](https://github.com/open-mmlab/mmpose/pull/313))
- Automatically add modelzoo statistics to readthedocs ([252](https://github.com/open-mmlab/mmpose/pull/252))
- Fix Pylint issues ([258](https://github.com/open-mmlab/mmpose/pull/258), [#259](https://github.com/open-mmlab/mmpose/pull/259), [#260](https://github.com/open-mmlab/mmpose/pull/260), [#262](https://github.com/open-mmlab/mmpose/pull/262), [#265](https://github.com/open-mmlab/mmpose/pull/265), [#267](https://github.com/open-mmlab/mmpose/pull/267), [#268](https://github.com/open-mmlab/mmpose/pull/268), [#270](https://github.com/open-mmlab/mmpose/pull/270), [#271](https://github.com/open-mmlab/mmpose/pull/271), [#272](https://github.com/open-mmlab/mmpose/pull/272), [#273](https://github.com/open-mmlab/mmpose/pull/273), [#275](https://github.com/open-mmlab/mmpose/pull/275), [#276](https://github.com/open-mmlab/mmpose/pull/276), [#283](https://github.com/open-mmlab/mmpose/pull/283), [#285](https://github.com/open-mmlab/mmpose/pull/285), [#293](https://github.com/open-mmlab/mmpose/pull/293), [#294](https://github.com/open-mmlab/mmpose/pull/294), [#295](https://github.com/open-mmlab/mmpose/pull/295))
- Improve README ([226](https://github.com/open-mmlab/mmpose/pull/226), [#257](https://github.com/open-mmlab/mmpose/pull/257), [#264](https://github.com/open-mmlab/mmpose/pull/264), [#280](https://github.com/open-mmlab/mmpose/pull/280), [#296](https://github.com/open-mmlab/mmpose/pull/296))
- Support PyTorch 1.7 in CI ([274](https://github.com/open-mmlab/mmpose/pull/274))
- Add docs/tutorials for running demos ([263](https://github.com/open-mmlab/mmpose/pull/263))

**Highlights**

1. Support more human pose estimation datasets.
- [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose)
- [PoseTrack18](https://posetrack.net/)
2. Support more 2D hand keypoint estimation datasets.
- [InterHand2.6](https://github.com/facebookresearch/InterHand2.6M)
3. Support adversarial training for 3D human shape recovery.
4. Support multi-stage losses.
5. Support mpii demo.


**New Features**

- Support [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose) dataset ([#195](https://github.com/open-mmlab/mmpose/pull/195)).
- Support [PoseTrack18](https://posetrack.net/) dataset ([#220](https://github.com/open-mmlab/mmpose/pull/220)).
- Support [InterHand2.6](https://github.com/facebookresearch/InterHand2.6M) dataset ([#202](https://github.com/open-mmlab/mmpose/pull/202)).
- Support adversarial training for 3D human shape recovery ([192](https://github.com/open-mmlab/mmpose/pull/192)).
- Support multi-stage losses ([204](https://github.com/open-mmlab/mmpose/pull/204)).

**Bug Fixes**

- Fix config files ([190](https://github.com/open-mmlab/mmpose/pull/190))

**Improvements**

- Add mpii demo ([216](https://github.com/open-mmlab/mmpose/pull/216))
- Improve README ([181](https://github.com/open-mmlab/mmpose/pull/181), [#183](https://github.com/open-mmlab/mmpose/pull/183), [#208](https://github.com/open-mmlab/mmpose/pull/208))
- Support return heatmaps and backbone features ([196](https://github.com/open-mmlab/mmpose/pull/196), [#212](https://github.com/open-mmlab/mmpose/pull/212))
- Support different return formats of mmdetection models ([217](https://github.com/open-mmlab/mmpose/pull/217))

**Highlights**

1. Support HMR for 3D human shape recovery.
2. Support WholeBody human pose estimation.
- [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody)
3. Support more 2D hand keypoint estimation datasets.
- [Frei-hand](https://lmb.informatik.uni-freiburg.de/projects/freihand/)
- [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html)
4. Add more popular backbones & enrich the [modelzoo](https://mmpose.readthedocs.io/en/latest/model_zoo.html).
- ShuffleNetv2
5. Support hand demo and whole-body demo.


**New Features**

- Support HMR for 3D human shape recovery ([157](https://github.com/open-mmlab/mmpose/pull/157), [#160](https://github.com/open-mmlab/mmpose/pull/160), [#161](https://github.com/open-mmlab/mmpose/pull/161), [#162](https://github.com/open-mmlab/mmpose/pull/162))
- Support [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody) dataset ([#133](https://github.com/open-mmlab/mmpose/pull/133))
- Support [Frei-hand](https://lmb.informatik.uni-freiburg.de/projects/freihand/) dataset ([#125](https://github.com/open-mmlab/mmpose/pull/125))
- Support [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html) dataset ([#144](https://github.com/open-mmlab/mmpose/pull/144))
- Support H36M dataset ([159](https://github.com/open-mmlab/mmpose/pull/159))
- Support ShuffleNetv2 ([139](https://github.com/open-mmlab/mmpose/pull/139))
- Support saving best models based on key indicator ([127](https://github.com/open-mmlab/mmpose/pull/127))

**Bug Fixes**

- Fix typos in docs ([121](https://github.com/open-mmlab/mmpose/pull/121))
- Fix assertion ([142](https://github.com/open-mmlab/mmpose/pull/142))

**Improvements**

- Add tools to transform .mat format to .json format ([126](https://github.com/open-mmlab/mmpose/pull/126))
- Add hand demo ([115](https://github.com/open-mmlab/mmpose/pull/115))
- Add whole-body demo ([163](https://github.com/open-mmlab/mmpose/pull/163))
- Reuse mmcv utility function and update version files ([135](https://github.com/open-mmlab/mmpose/pull/135), [#137](https://github.com/open-mmlab/mmpose/pull/137))
- Enrich the modelzoo ([147](https://github.com/open-mmlab/mmpose/pull/147), [#169](https://github.com/open-mmlab/mmpose/pull/169))
- Improve docs ([174](https://github.com/open-mmlab/mmpose/pull/174), [#175](https://github.com/open-mmlab/mmpose/pull/175), [#178](https://github.com/open-mmlab/mmpose/pull/178))
- Improve README ([176](https://github.com/open-mmlab/mmpose/pull/176))
- Improve version.py ([173](https://github.com/open-mmlab/mmpose/pull/173))

**Highlights**

1. Add popular backbones & enrich the [modelzoo](https://mmpose.readthedocs.io/en/latest/model_zoo.html).
- ResNext
- SEResNet
- ResNetV1D
- MobileNetv2
- ShuffleNetv1
- CPM (Convolutional Pose Machine)

2. Add popular datasets:
- [AIChallenger](https://arxiv.org/abs/1711.06475?context=cs.CV)
- [MPII](http://human-pose.mpi-inf.mpg.de/)
- [MPII-TRB](https://github.com/kennymckormick/Triplet-Representation-of-human-Body)
- [OCHuman](http://www.liruilong.cn/projects/pose2seg/index.html)

3. Support 2d hand keypoint estimation.
- [OneHand10K](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html)

4. Support bottom-up inference.


**New Features**
- Support [OneHand10K](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html) dataset ([#52](https://github.com/open-mmlab/mmpose/pull/52)).
- Support [MPII](http://human-pose.mpi-inf.mpg.de/) dataset ([#55](https://github.com/open-mmlab/mmpose/pull/55)).
- Support [MPII-TRB](https://github.com/kennymckormick/Triplet-Representation-of-human-Body) dataset ([#19](https://github.com/open-mmlab/mmpose/pull/19), [#47](https://github.com/open-mmlab/mmpose/pull/47), [#48](https://github.com/open-mmlab/mmpose/pull/48)).
- Support [OCHuman](http://www.liruilong.cn/projects/pose2seg/index.html) dataset ([#70](https://github.com/open-mmlab/mmpose/pull/70)).
- Support [AIChallenger](https://arxiv.org/abs/1711.06475?context=cs.CV) dataset ([#87](https://github.com/open-mmlab/mmpose/pull/87)).
- Support multiple backbones ([26](https://github.com/open-mmlab/mmpose/pull/26)).
- Support CPM model ([56](https://github.com/open-mmlab/mmpose/pull/56)).

**Bug Fixes**
- Fix configs for MPII & MPII-TRB datasets ([93](https://github.com/open-mmlab/mmpose/pull/93)).
- Fix the bug of missing `test_pipeline` in configs ([14](https://github.com/open-mmlab/mmpose/pull/14)).
- Fix typos ([27](https://github.com/open-mmlab/mmpose/pull/27), [#28](https://github.com/open-mmlab/mmpose/pull/28), [#50](https://github.com/open-mmlab/mmpose/pull/50), [#53](https://github.com/open-mmlab/mmpose/pull/53), [#63](https://github.com/open-mmlab/mmpose/pull/63)).

**Improvements**
- Update benchmark ([93](https://github.com/open-mmlab/mmpose/pull/93)).
- Add Dockerfile ([44](https://github.com/open-mmlab/mmpose/pull/44)).
- Improve unittest coverage and minor fix ([18](https://github.com/open-mmlab/mmpose/pull/18)).
- Support CPUs for train/val/demo ([34](https://github.com/open-mmlab/mmpose/pull/34)).
- Support bottom-up demo ([69](https://github.com/open-mmlab/mmpose/pull/69)).
- Add tools to publish model ([62](https://github.com/open-mmlab/mmpose/pull/62)).
- Enrich the modelzoo ([64](https://github.com/open-mmlab/mmpose/pull/64), [#68](https://github.com/open-mmlab/mmpose/pull/68), [#82](https://github.com/open-mmlab/mmpose/pull/82)).