# Changelog

## v0.29.0 (14/10/2022)

**Highlights**

- Support [DEKR](https://arxiv.org/abs/2104.02300), CVPR'2021 ([#1693](https://github.com/open-mmlab/mmpose/pull/1693)) @JinluZhang1126, @jin-s13, @Ben-Louis
- Support [CID](https://openaccess.thecvf.com/content/CVPR2022/html/Wang_Contextual_Instance_Decoupling_for_Robust_Multi-Person_Pose_Estimation_CVPR_2022_paper.html), CVPR'2022 ([#1604](https://github.com/open-mmlab/mmpose/pull/1604)) @kennethwdk, @jin-s13, @Ben-Louis

**Improvements**

- Improve 3D pose estimation demo with viewpoint & height controlling and enriched input formats ([#1481](https://github.com/open-mmlab/mmpose/pull/1481), [#1490](https://github.com/open-mmlab/mmpose/pull/1490)) @pallgeuer, @liqikai9
- Improve smoothing of 3D video pose estimation ([#1479](https://github.com/open-mmlab/mmpose/pull/1479)) @darcula1993
- Improve dependency management for smoother installation ([#1491](https://github.com/open-mmlab/mmpose/pull/1491)) @danielbraun89
- Improve documentation quality ([#1680](https://github.com/open-mmlab/mmpose/pull/1680), [#1525](https://github.com/open-mmlab/mmpose/pull/1525), [#1516](https://github.com/open-mmlab/mmpose/pull/1516), [#1513](https://github.com/open-mmlab/mmpose/pull/1513), [#1511](https://github.com/open-mmlab/mmpose/pull/1511), [#1507](https://github.com/open-mmlab/mmpose/pull/1507), [#1506](https://github.com/open-mmlab/mmpose/pull/1506), [#1525](https://github.com/open-mmlab/mmpose/pull/1525)) @Ben-Louis, @Yulv-git, @jin-s13

**Bug Fixes**

- Update dependency versions of pre-commit-hooks ([#1706](https://github.com/open-mmlab/mmpose/pull/1706), [#1678](https://github.com/open-mmlab/mmpose/pull/1678)) @Ben-Louis, @liqikai9
- Fix missing data transforms in RLE configs ([#1632](https://github.com/open-mmlab/mmpose/pull/1632)) @Ben-Louis
- Fix a bug in `fliplr_joints` that causes error when keypoint visibility has float values ([#1589](https://github.com/open-mmlab/mmpose/pull/1589)) @walsvid
- Fix hsigmoid default parameters ([#1575](https://github.com/open-mmlab/mmpose/pull/1575)) @Ben-Louis
- Fix a bug in UDP decoding ([#1565](https://github.com/open-mmlab/mmpose/pull/1565)) @liqikai9
- Fix a bug in pose tracking demo with non-COCO dataset ([#1504](https://github.com/open-mmlab/mmpose/pull/1504)) @daixinghome
- Fix typos and unused contents in configs ([#1499](https://github.com/open-mmlab/mmpose/pull/1499), [#1496](https://github.com/open-mmlab/mmpose/pull/1496)) @liqikai9
- Fix a bug in the mesh demo ([#1482](https://github.com/open-mmlab/mmpose/pull/1482)) @zengwang430521

## **v0.28.1 (28/07/2022)**

This release is meant to fix the compatibility with the latest mmcv v1.6.1

## v0.28.0 (06/07/2022)

**Highlights**

- Support [TCFormer](https://openaccess.thecvf.com/content/CVPR2022/html/Zeng_Not_All_Tokens_Are_Equal_Human-Centric_Visual_Analysis_via_Token_CVPR_2022_paper.html) backbone, CVPR'2022 ([#1447](https://github.com/open-mmlab/mmpose/pull/1447), [#1452](https://github.com/open-mmlab/mmpose/pull/1452)) @zengwang430521
- Add [RLE](https://arxiv.org/abs/2107.11291) models on COCO dataset ([#1424](https://github.com/open-mmlab/mmpose/pull/1424)) @Indigo6, @Ben-Louis, @ly015
- Update swin models with better performance ([#1467](https://github.com/open-mmlab/mmpose/pull/1434)) @jin-s13

**New Features**

- Support [TCFormer](https://openaccess.thecvf.com/content/CVPR2022/html/Zeng_Not_All_Tokens_Are_Equal_Human-Centric_Visual_Analysis_via_Token_CVPR_2022_paper.html) backbone, CVPR'2022 ([#1447](https://github.com/open-mmlab/mmpose/pull/1447), [#1452](https://github.com/open-mmlab/mmpose/pull/1452)) @zengwang430521
- Add [RLE](https://arxiv.org/abs/2107.11291) models on COCO dataset ([#1424](https://github.com/open-mmlab/mmpose/pull/1424)) @Indigo6, @Ben-Louis, @ly015
- Support layer decay optimizer conctructor and learning rate decay optimizer constructor ([#1423](https://github.com/open-mmlab/mmpose/pull/1423)) @jin-s13

**Improvements**

- Improve documentation quality ([#1416](https://github.com/open-mmlab/mmpose/pull/1416), [#1421](https://github.com/open-mmlab/mmpose/pull/1421), [#1423](https://github.com/open-mmlab/mmpose/pull/1423), [#1426](https://github.com/open-mmlab/mmpose/pull/1426), [#1458](https://github.com/open-mmlab/mmpose/pull/1458), [#1463](https://github.com/open-mmlab/mmpose/pull/1463)) @ly015, @liqikai9
- Support installation by [mim](https://github.com/open-mmlab/mim) ([#1425](https://github.com/open-mmlab/mmpose/pull/1425)) @liqikai9
- Support PAVI logger ([#1434](https://github.com/open-mmlab/mmpose/pull/1434)) @EvelynWang-0423
- Add progress bar for some demos ([#1454](https://github.com/open-mmlab/mmpose/pull/1454)) @liqikai9
- Webcam API supports quick device setting in terminal commands ([#1466](https://github.com/open-mmlab/mmpose/pull/1466)) @ly015
- Update swin models with better performance ([#1467](https://github.com/open-mmlab/mmpose/pull/1434)) @jin-s13

**Bug Fixes**

- Rename `custom_hooks_config` to `custom_hooks` in configs to align with the documentation ([#1427](https://github.com/open-mmlab/mmpose/pull/1427)) @ly015
- Fix deadlock issue in Webcam API ([#1430](https://github.com/open-mmlab/mmpose/pull/1430)) @ly015
- Fix smoother configs in video 3D demo ([#1457](https://github.com/open-mmlab/mmpose/pull/1457)) @ly015

## v0.27.0 (07/06/2022)

**Highlights**

- Support hand gesture recognition
  - Try the [demo](/demo/docs/gesture_recognition_demo.md) for gesture recognition
  - Learn more about the [algorithm](/docs/en/papers/algorithms/mtut.md), [dataset](/docs/en/papers/datasets/nvgesture.md) and [experiment results](/configs/hand/gesture_sview_rgbd_vid/mtut/nvgesture/i3d_nvgesture.md)
- Major upgrade to the Webcam API
  - Tutorials ([EN](/docs/en/tutorials/7_webcam_api.md)|[zh_CN](/docs/zh_cn/tutorials/7_webcam_api.md))
  - [API Reference](https://mmpose.readthedocs.io/en/latest/api.html#mmpose-apis-webcam)
  - [Demo](/demo/docs/webcam_demo.md)

**New Features**

- Support gesture recognition algorithm [MTUT](https://openaccess.thecvf.com/content_CVPR_2019/html/Abavisani_Improving_the_Performance_of_Unimodal_Dynamic_Hand-Gesture_Recognition_With_Multimodal_CVPR_2019_paper.html) CVPR'2019 and dataset [NVGesture](https://openaccess.thecvf.com/content_cvpr_2016/html/Molchanov_Online_Detection_and_CVPR_2016_paper.html) CVPR'2016 ([#1380](https://github.com/open-mmlab/mmpose/pull/1380)) @Ben-Louis

**Improvements**

- Upgrade Webcam API and related documents ([#1393](https://github.com/open-mmlab/mmpose/pull/1393), [#1404](https://github.com/open-mmlab/mmpose/pull/1404), [#1413](https://github.com/open-mmlab/mmpose/pull/1413)) @ly015
- Support exporting COCO inference result without the annotation file ([#1368](https://github.com/open-mmlab/mmpose/pull/1368)) @liqikai9
- Replace markdownlint with mdformat in CI to avoid the dependence on ruby [#1382](https://github.com/open-mmlab/mmpose/pull/1382) @ly015
- Improve documentation quality ([#1385](https://github.com/open-mmlab/mmpose/pull/1385), [#1394](https://github.com/open-mmlab/mmpose/pull/1394), [#1395](https://github.com/open-mmlab/mmpose/pull/1395), [#1408](https://github.com/open-mmlab/mmpose/pull/1408)) @chubei-oppen, @ly015, @liqikai9

**Bug Fixes**

- Fix xywh->xyxy bbox conversion in dataset sanity check ([#1367](https://github.com/open-mmlab/mmpose/pull/1367)) @jin-s13
- Fix a bug in two-stage 3D keypoint demo ([#1373](https://github.com/open-mmlab/mmpose/pull/1373)) @ly015
- Fix out-dated settings in PVT configs ([#1376](https://github.com/open-mmlab/mmpose/pull/1376)) @ly015
- Fix myst settings for document compiling ([#1381](https://github.com/open-mmlab/mmpose/pull/1381)) @ly015
- Fix a bug in bbox transform ([#1384](https://github.com/open-mmlab/mmpose/pull/1384)) @ly015
- Fix inaccurate description of `min_keypoints` in tracking apis ([#1398](https://github.com/open-mmlab/mmpose/pull/1398)) @pallgeuer
- Fix warning with `torch.meshgrid` ([#1402](https://github.com/open-mmlab/mmpose/pull/1402)) @pallgeuer
- Remove redundant transformer modules from `mmpose.datasets.backbones.utils` ([#1405](https://github.com/open-mmlab/mmpose/pull/1405)) @ly015

## v0.26.0 (05/05/2022)

**Highlights**

- Support [RLE (Residual Log-likelihood Estimation)](https://arxiv.org/abs/2107.11291), ICCV'2021 ([#1259](https://github.com/open-mmlab/mmpose/pull/1259)) @Indigo6, @ly015
- Support [Swin Transformer](https://arxiv.org/abs/2103.14030), ICCV'2021 ([#1300](https://github.com/open-mmlab/mmpose/pull/1300)) @yumendecc, @ly015
- Support [PVT](https://arxiv.org/abs/2102.12122), ICCV'2021 and [PVTv2](https://arxiv.org/abs/2106.13797), CVMJ'2022 ([#1343](https://github.com/open-mmlab/mmpose/pull/1343)) @zengwang430521
- Speed up inference and reduce CPU usage by optimizing the pre-processing pipeline ([#1320](https://github.com/open-mmlab/mmpose/pull/1320)) @chenxinfeng4, @liqikai9

**New Features**

- Support [RLE (Residual Log-likelihood Estimation)](https://arxiv.org/abs/2107.11291), ICCV'2021 ([#1259](https://github.com/open-mmlab/mmpose/pull/1259)) @Indigo6, @ly015
- Support [Swin Transformer](https://arxiv.org/abs/2103.14030), ICCV'2021 ([#1300](https://github.com/open-mmlab/mmpose/pull/1300)) @yumendecc, @ly015
- Support [PVT](https://arxiv.org/abs/2102.12122), ICCV'2021 and [PVTv2](https://arxiv.org/abs/2106.13797), CVMJ'2022 ([#1343](https://github.com/open-mmlab/mmpose/pull/1343)) @zengwang430521
- Support [FPN](https://openaccess.thecvf.com/content_cvpr_2017/html/Lin_Feature_Pyramid_Networks_CVPR_2017_paper.html), CVPR'2017 ([#1300](https://github.com/open-mmlab/mmpose/pull/1300)) @yumendecc, @ly015

**Improvements**

- Speed up inference and reduce CPU usage by optimizing the pre-processing pipeline ([#1320](https://github.com/open-mmlab/mmpose/pull/1320)) @chenxinfeng4, @liqikai9
- Video demo supports models that requires multi-frame inputs ([#1300](https://github.com/open-mmlab/mmpose/pull/1300)) @liqikai9, @jin-s13
- Update benchmark regression list ([#1328](https://github.com/open-mmlab/mmpose/pull/1328)) @ly015, @liqikai9
- Remove unnecessary warnings in `TopDownPoseTrack18VideoDataset` ([#1335](https://github.com/open-mmlab/mmpose/pull/1335)) @liqikai9
- Improve documentation quality ([#1313](https://github.com/open-mmlab/mmpose/pull/1313), [#1305](https://github.com/open-mmlab/mmpose/pull/1305)) @Ben-Louis, @ly015
- Update deprecating settings in configs ([#1317](https://github.com/open-mmlab/mmpose/pull/1317)) @ly015

**Bug Fixes**

- Fix a bug in human skeleton grouping that may skip the matching process unexpectedly when `ignore_to_much` is True ([#1341](https://github.com/open-mmlab/mmpose/pull/1341)) @daixinghome
- Fix a GPG key error that leads to CI failure ([#1354](https://github.com/open-mmlab/mmpose/pull/1354)) @ly015
- Fix bugs in distributed training script ([#1338](https://github.com/open-mmlab/mmpose/pull/1338), [#1298](https://github.com/open-mmlab/mmpose/pull/1298)) @ly015
- Fix an upstream bug in xtoccotools that causes incorrect AP(M) results ([#1308](https://github.com/open-mmlab/mmpose/pull/1308)) @jin-s13, @ly015
- Fix indentiation errors in the colab tutorial ([#1298](https://github.com/open-mmlab/mmpose/pull/1298)) @YuanZi1501040205
- Fix incompatible model weight initialization with other OpenMMLab codebases ([#1329](https://github.com/open-mmlab/mmpose/pull/1329)) @274869388
- Fix HRNet FP16 checkpoints download URL ([#1309](https://github.com/open-mmlab/mmpose/pull/1309)) @YinAoXiong
- Fix typos in `body3d_two_stage_video_demo.py` ([#1295](https://github.com/open-mmlab/mmpose/pull/1295)) @mucozcan

**Breaking Changes**

- Refactor bbox processing in datasets and pipelines ([#1311](https://github.com/open-mmlab/mmpose/pull/1311)) @ly015, @Ben-Louis
  The bbox format conversion (xywh to center-scale) and random translation are moved from the dataset to the pipeline. The comparison between new and old version is as below:

<table aligned='center'>
<thead>
    <tr align='center'>
        <td> </td>
        <th> v0.26.0 </th>
        <th> v0.25.0 </th>
    </tr>
</thead>
<tbody>
<tr>
<th>Dataset<br><small>(e.g. <a href='https://github.com/open-mmlab/mmpose/blob/master/mmpose/datasets/datasets/top_down/topdown_coco_dataset.py'>TopDownCOCODataset</a>)</small>
</th>
<td  valign='top'>

```python
...
# Data sample only contains bbox
rec.append({
    'bbox': obj['clean_bbox][:4],
    ...
})
```

</td>
<td  valign='top'>

```python
...
# Convert bbox from xywh to center-scale
center, scale = self._xywh2cs(*obj['clean_bbox'][:4])
# Data sample contains center and scale
rec.append({
    'bbox': obj['clean_bbox][:4],
    'center': center,
    'scale': scale,
    ...
})
```

</td>
</tr>
<tr>
<th>Pipeline Config<br><small>(e.g. <a href='https://github.com/open-mmlab/mmpose/blob/master/configs/body/2d_kpt_sview_rgb_img/topdown_heatmap/coco/hrnet_w32_coco_256x192.py'>HRNet+COCO</a>)</small></th>
<td valign='top'>

```python
...
train_pipeline = [
    dict(type='LoadImageFromFile'),
    # Convert bbox from xywh to center-scale
    dict(type='TopDownGetBboxCenterScale', padding=1.25),
    # Randomly shift bbox center
    dict(type='TopDownRandomShiftBboxCenter', shift_factor=0.16, prob=0.3),
    ...
]
```

</td>
<td valign='top'>

```python
...
train_pipeline = [
    dict(type='LoadImageFromFile'),
    ...
]
```

</td>
</tr>
<tr>
<th>Advantage</th>
<td valign='top'>
<li>Simpler data sample content</li>
<li>Flexible bbox format conversion and augmentation</li>
<li>Apply bbox random translation every epoch (instead of only applying once at the annotation loading)
</td>
<td valign='top'>-</td>
</tr>
<tr>
<th>BC Breaking</th>
<td valign='top'>The method <code>_xywh2cs</code> of dataset base classes (e.g. <a href='https://github.com/open-mmlab/mmpose/blob/master/mmpose/datasets/datasets/base/kpt_2d_sview_rgb_img_top_down_dataset.py'>Kpt2dSviewRgbImgTopDownDataset</a>) will be deprecated in the future. Custom datasets will need modifications to move the bbox format conversion to pipelines.</td>
<td valign='top'>-</td>
</tr>
</tbody>
</table>

## v0.25.0 (02/04/2022)

**Highlights**

- Support Shelf and Campus datasets with pre-trained VoxelPose models, ["3D Pictorial Structures for Multiple Human Pose Estimation"](http://campar.in.tum.de/pub/belagiannis2014cvpr/belagiannis2014cvpr.pdf), CVPR'2014 ([#1225](https://github.com/open-mmlab/mmpose/pull/1225)) @liqikai9, @wusize
- Add `Smoother` module for temporal smoothing of the pose estimation with configurable filters ([#1127](https://github.com/open-mmlab/mmpose/pull/1127)) @ailingzengzzz, @ly015
- Support SmoothNet for pose smoothing, ["SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"](https://arxiv.org/abs/2112.13715), arXiv'2021 ([#1279](https://github.com/open-mmlab/mmpose/pull/1279)) @ailingzengzzz, @ly015
- Add multiview 3D pose estimation demo ([#1270](https://github.com/open-mmlab/mmpose/pull/1270)) @wusize

**New Features**

- Support Shelf and Campus datasets with pre-trained VoxelPose models, ["3D Pictorial Structures for Multiple Human Pose Estimation"](http://campar.in.tum.de/pub/belagiannis2014cvpr/belagiannis2014cvpr.pdf), CVPR'2014 ([#1225](https://github.com/open-mmlab/mmpose/pull/1225)) @liqikai9, @wusize
- Add `Smoother` module for temporal smoothing of the pose estimation with configurable filters ([#1127](https://github.com/open-mmlab/mmpose/pull/1127)) @ailingzengzzz, @ly015
- Support SmoothNet for pose smoothing, ["SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos"](https://arxiv.org/abs/2112.13715), arXiv'2021 ([#1279](https://github.com/open-mmlab/mmpose/pull/1279)) @ailingzengzzz, @ly015
- Add multiview 3D pose estimation demo ([#1270](https://github.com/open-mmlab/mmpose/pull/1270)) @wusize
- Support multi-machine distributed training ([#1248](https://github.com/open-mmlab/mmpose/pull/1248)) @ly015

**Improvements**

- Update HRFormer configs and checkpoints with relative position bias ([#1245](https://github.com/open-mmlab/mmpose/pull/1245)) @zengwang430521
- Support using different random seed for each distributed node ([#1257](https://github.com/open-mmlab/mmpose/pull/1257), [#1229](https://github.com/open-mmlab/mmpose/pull/1229)) @ly015
- Improve documentation quality ([#1275](https://github.com/open-mmlab/mmpose/pull/1275), [#1255](https://github.com/open-mmlab/mmpose/pull/1255), [#1258](https://github.com/open-mmlab/mmpose/pull/1258), [#1249](https://github.com/open-mmlab/mmpose/pull/1249), [#1247](https://github.com/open-mmlab/mmpose/pull/1247), [#1240](https://github.com/open-mmlab/mmpose/pull/1240), [#1235](https://github.com/open-mmlab/mmpose/pull/1235)) @ly015, @jin-s13, @YoniChechik

**Bug Fixes**

- Fix keypoint index in RHD dataset meta information ([#1265](https://github.com/open-mmlab/mmpose/pull/1265)) @liqikai9
- Fix pre-commit hook unexpected behavior on Windows ([#1282](https://github.com/open-mmlab/mmpose/pull/1282)) @liqikai9
- Remove python-dev installation in CI ([#1276](https://github.com/open-mmlab/mmpose/pull/1276)) @ly015
- Unify hyphens in argument names in tools and demos ([#1271](https://github.com/open-mmlab/mmpose/pull/1271)) @ly015
- Fix ambiguous channel size in `channel_shuffle` that may cause exporting failure ([#1242](@PINTO0309https://github.com/open-mmlab/mmpose/pull/1242)) @PINTO0309
- Fix a bug in Webcam API that causes single-class detectors fail ([#1239](https://github.com/open-mmlab/mmpose/pull/1239)) @674106399
- Fix the issue that `custom_hook` can not be set in configs ([#1236](https://github.com/open-mmlab/mmpose/pull/1236)) @bladrome
- Fix incompatible MMCV version in DockerFile ([#raykindle](https://github.com/open-mmlab/mmpose/pull/raykindle))
- Skip invisible joints in visualization ([#1228](https://github.com/open-mmlab/mmpose/pull/1228)) @womeier

## v0.24.0 (07/03/2022)

**Highlights**

- Support HRFormer ["HRFormer: High-Resolution Vision Transformer for Dense Predict"](https://proceedings.neurips.cc/paper/2021/hash/3bbfdde8842a5c44a0323518eec97cbe-Abstract.html), NeurIPS'2021 ([#1203](https://github.com/open-mmlab/mmpose/pull/1203)) @zengwang430521
- Support Windows installation with pip ([#1213](https://github.com/open-mmlab/mmpose/pull/1213)) @jin-s13, @ly015
- Add WebcamAPI documents ([#1187](https://github.com/open-mmlab/mmpose/pull/1187)) @ly015

**New Features**

- Support HRFormer ["HRFormer: High-Resolution Vision Transformer for Dense Predict"](https://proceedings.neurips.cc/paper/2021/hash/3bbfdde8842a5c44a0323518eec97cbe-Abstract.html), NeurIPS'2021 ([#1203](https://github.com/open-mmlab/mmpose/pull/1203)) @zengwang430521
- Support Windows installation with pip ([#1213](https://github.com/open-mmlab/mmpose/pull/1213)) @jin-s13, @ly015
- Support CPU training with mmcv \< v1.4.4 ([#1161](https://github.com/open-mmlab/mmpose/pull/1161)) @EasonQYS, @ly015
- Add "Valentine Magic" demo with WebcamAPI ([#1189](https://github.com/open-mmlab/mmpose/pull/1189), [#1191](https://github.com/open-mmlab/mmpose/pull/1191)) @liqikai9

**Improvements**

- Refactor multi-view 3D pose estimation framework towards better modularization and expansibility ([#1196](https://github.com/open-mmlab/mmpose/pull/1196)) @wusize
- Add WebcamAPI documents and tutorials ([#1187](https://github.com/open-mmlab/mmpose/pull/1187)) @ly015
- Refactor dataset evaluation interface to align with other OpenMMLab codebases ([#1209](https://github.com/open-mmlab/mmpose/pull/1209)) @ly015
- Add deprecation message for deploy tools since [MMDeploy](https://github.com/open-mmlab/mmdeploy) has supported MMPose ([#1207](https://github.com/open-mmlab/mmpose/pull/1207)) @QwQ2000
- Improve documentation quality ([#1206](https://github.com/open-mmlab/mmpose/pull/1206), [#1161](https://github.com/open-mmlab/mmpose/pull/1161)) @ly015
- Switch to OpenMMLab official pre-commit-hook for copyright check ([#1214](https://github.com/open-mmlab/mmpose/pull/1214)) @ly015

**Bug Fixes**

- Fix hard-coded data collating and scattering in inference ([#1175](https://github.com/open-mmlab/mmpose/pull/1175)) @ly015
- Fix model configs on JHMDB dataset ([#1188](https://github.com/open-mmlab/mmpose/pull/1188)) @jin-s13
- Fix area calculation in pose tracking inference ([#1197](https://github.com/open-mmlab/mmpose/pull/1197)) @pallgeuer
- Fix registry scope conflict of module wrapper ([#1204](https://github.com/open-mmlab/mmpose/pull/1204)) @ly015
- Update MMCV installation in CI and documents ([#1205](https://github.com/open-mmlab/mmpose/pull/1205))
- Fix incorrect color channel order in visualization functions ([#1212](https://github.com/open-mmlab/mmpose/pull/1212)) @ly015

## v0.23.0 (11/02/2022)

**Highlights**

- Add [MMPose Webcam API](https://github.com/open-mmlab/mmpose/tree/master/tools/webcam): A simple yet powerful tools to develop interactive webcam applications with MMPose functions. ([#1178](https://github.com/open-mmlab/mmpose/pull/1178), [#1173](https://github.com/open-mmlab/mmpose/pull/1173), [#1173](https://github.com/open-mmlab/mmpose/pull/1173), [#1143](https://github.com/open-mmlab/mmpose/pull/1143), [#1094](https://github.com/open-mmlab/mmpose/pull/1094), [#1133](https://github.com/open-mmlab/mmpose/pull/1133), [#1098](https://github.com/open-mmlab/mmpose/pull/1098), [#1160](https://github.com/open-mmlab/mmpose/pull/1160)) @ly015, @jin-s13, @liqikai9, @wusize, @luminxu, @zengwang430521 @mzr1996

**New Features**

- Add [MMPose Webcam API](https://github.com/open-mmlab/mmpose/tree/master/tools/webcam): A simple yet powerful tools to develop interactive webcam applications with MMPose functions. ([#1178](https://github.com/open-mmlab/mmpose/pull/1178), [#1173](https://github.com/open-mmlab/mmpose/pull/1173), [#1173](https://github.com/open-mmlab/mmpose/pull/1173), [#1143](https://github.com/open-mmlab/mmpose/pull/1143), [#1094](https://github.com/open-mmlab/mmpose/pull/1094), [#1133](https://github.com/open-mmlab/mmpose/pull/1133), [#1098](https://github.com/open-mmlab/mmpose/pull/1098), [#1160](https://github.com/open-mmlab/mmpose/pull/1160)) @ly015, @jin-s13, @liqikai9, @wusize, @luminxu, @zengwang430521 @mzr1996
- Support ConcatDataset ([#1139](https://github.com/open-mmlab/mmpose/pull/1139)) @Canwang-sjtu
- Support CPU training and testing ([#1157](https://github.com/open-mmlab/mmpose/pull/1157)) @ly015

**Improvements**

- Add multi-processing configurations to speed up distributed training and testing ([#1146](https://github.com/open-mmlab/mmpose/pull/1146)) @ly015

- Add default runtime config ([#1145](https://github.com/open-mmlab/mmpose/pull/1145))

- Upgrade isort in pre-commit hook ([#1179](https://github.com/open-mmlab/mmpose/pull/1179)) @liqikai9

- Update README and documents ([#1171](https://github.com/open-mmlab/mmpose/pull/1171), [#1167](https://github.com/open-mmlab/mmpose/pull/1167), [#1153](https://github.com/open-mmlab/mmpose/pull/1153), [#1149](https://github.com/open-mmlab/mmpose/pull/1149), [#1148](https://github.com/open-mmlab/mmpose/pull/1148), [#1147](https://github.com/open-mmlab/mmpose/pull/1147), [#1140](https://github.com/open-mmlab/mmpose/pull/1140)) @jin-s13, @wusize, @TommyZihao, @ly015

**Bug Fixes**

- Fix undeterministic behavior in pre-commit hooks ([#1136](https://github.com/open-mmlab/mmpose/pull/1136)) @jin-s13
- Deprecate the support for "python setup.py test" ([#1179](https://github.com/open-mmlab/mmpose/pull/1179)) @ly015
- Fix incompatible settings with MMCV on HSigmoid default parameters ([#1132](https://github.com/open-mmlab/mmpose/pull/1132)) @ly015
- Fix albumentation installation ([#1184](https://github.com/open-mmlab/mmpose/pull/1184)) @BIGWangYuDong

## v0.22.0 (04/01/2022)

**Highlights**

- Support VoxelPose ["VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment"](https://arxiv.org/abs/2004.06239), ECCV'2020 ([#1050](https://github.com/open-mmlab/mmpose/pull/1050)) @wusize
- Support Soft Wing loss ["Structure-Coherent Deep Feature Learning for Robust Face Alignment"](https://linchunze.github.io/papers/TIP21_Structure_coherent_FA.pdf), TIP'2021 ([#1077](https://github.com/open-mmlab/mmpose/pull/1077)) @jin-s13
- Support Adaptive Wing loss ["Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression"](https://arxiv.org/abs/1904.07399), ICCV'2019 ([#1072](https://github.com/open-mmlab/mmpose/pull/1072)) @jin-s13

**New Features**

- Support VoxelPose ["VoxelPose: Towards Multi-Camera 3D Human Pose Estimation in Wild Environment"](https://arxiv.org/abs/2004.06239), ECCV'2020 ([#1050](https://github.com/open-mmlab/mmpose/pull/1050)) @wusize
- Support Soft Wing loss ["Structure-Coherent Deep Feature Learning for Robust Face Alignment"](https://linchunze.github.io/papers/TIP21_Structure_coherent_FA.pdf), TIP'2021 ([#1077](https://github.com/open-mmlab/mmpose/pull/1077)) @jin-s13
- Support Adaptive Wing loss ["Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression"](https://arxiv.org/abs/1904.07399), ICCV'2019 ([#1072](https://github.com/open-mmlab/mmpose/pull/1072)) @jin-s13
- Add LiteHRNet-18 Checkpoints trained on COCO. ([#1120](https://github.com/open-mmlab/mmpose/pull/1120)) @jin-s13

**Improvements**

- Improve documentation quality ([#1115](https://github.com/open-mmlab/mmpose/pull/1115), [#1111](https://github.com/open-mmlab/mmpose/pull/1111), [#1105](https://github.com/open-mmlab/mmpose/pull/1105), [#1087](https://github.com/open-mmlab/mmpose/pull/1087), [#1086](https://github.com/open-mmlab/mmpose/pull/1086), [#1085](https://github.com/open-mmlab/mmpose/pull/1085), [#1084](https://github.com/open-mmlab/mmpose/pull/1084), [#1083](https://github.com/open-mmlab/mmpose/pull/1083), [#1124](https://github.com/open-mmlab/mmpose/pull/1124), [#1070](https://github.com/open-mmlab/mmpose/pull/1070), [#1068](https://github.com/open-mmlab/mmpose/pull/1068)) @jin-s13, @liqikai9, @ly015
- Support CircleCI ([#1074](https://github.com/open-mmlab/mmpose/pull/1074)) @ly015
- Skip unit tests in CI when only document files were changed ([#1074](https://github.com/open-mmlab/mmpose/pull/1074), [#1041](https://github.com/open-mmlab/mmpose/pull/1041)) @QwQ2000, @ly015
- Support file_client_args in LoadImageFromFile ([#1076](https://github.com/open-mmlab/mmpose/pull/1076)) @jin-s13

**Bug Fixes**

- Fix a bug in Dark UDP postprocessing that causes error when the channel number is large. ([#1079](https://github.com/open-mmlab/mmpose/pull/1079), [#1116](https://github.com/open-mmlab/mmpose/pull/1116)) @X00123, @jin-s13
- Fix hard-coded `sigmas` in bottom-up image demo ([#1107](https://github.com/open-mmlab/mmpose/pull/1107), [#1101](https://github.com/open-mmlab/mmpose/pull/1101)) @chenxinfeng4, @liqikai9
- Fix unstable checks in unit tests ([#1112](https://github.com/open-mmlab/mmpose/pull/1112)) @ly015
- Do not destroy NULL windows if `args.show==False` in demo scripts ([#1104](https://github.com/open-mmlab/mmpose/pull/1104)) @bladrome

## v0.21.0 (06/12/2021)

**Highlights**

- Support ["Learning Temporal Pose Estimation from Sparsely-Labeled Videos"](https://arxiv.org/abs/1906.04016), NeurIPS'2019 ([#932](https://github.com/open-mmlab/mmpose/pull/932), [#1006](https://github.com/open-mmlab/mmpose/pull/1006), [#1036](https://github.com/open-mmlab/mmpose/pull/1036), [#1060](https://github.com/open-mmlab/mmpose/pull/1060)) @liqikai9
- Add ViPNAS-MobileNetV3 models ([#1025](https://github.com/open-mmlab/mmpose/pull/1025)) @luminxu, @jin-s13
- Add [inference speed benchmark](/docs/en/inference_speed_summary.md) ([#1028](https://github.com/open-mmlab/mmpose/pull/1028), [#1034](https://github.com/open-mmlab/mmpose/pull/1034), [#1044](https://github.com/open-mmlab/mmpose/pull/1044)) @liqikai9

**New Features**

- Support ["Learning Temporal Pose Estimation from Sparsely-Labeled Videos"](https://arxiv.org/abs/1906.04016), NeurIPS'2019 ([#932](https://github.com/open-mmlab/mmpose/pull/932), [#1006](https://github.com/open-mmlab/mmpose/pull/1006), [#1036](https://github.com/open-mmlab/mmpose/pull/1036)) @liqikai9
- Add ViPNAS-MobileNetV3 models ([#1025](https://github.com/open-mmlab/mmpose/pull/1025)) @luminxu, @jin-s13
- Add light-weight top-down models for whole-body keypoint detection ([#1009](https://github.com/open-mmlab/mmpose/pull/1009), [#1020](https://github.com/open-mmlab/mmpose/pull/1020), [#1055](https://github.com/open-mmlab/mmpose/pull/1055)) @luminxu, @ly015
- Add HRNet checkpoints with various settings on PoseTrack18 ([#1035](https://github.com/open-mmlab/mmpose/pull/1035)) @liqikai9

**Improvements**

- Add [inference speed benchmark](/docs/en/inference_speed_summary.md) ([#1028](https://github.com/open-mmlab/mmpose/pull/1028), [#1034](https://github.com/open-mmlab/mmpose/pull/1034), [#1044](https://github.com/open-mmlab/mmpose/pull/1044)) @liqikai9
- Update model metafile format ([#1001](https://github.com/open-mmlab/mmpose/pull/1001)) @ly015
- Support minus output feature index in mobilenet_v3 ([#1005](https://github.com/open-mmlab/mmpose/pull/1005)) @luminxu
- Improve documentation quality ([#1018](https://github.com/open-mmlab/mmpose/pull/1018), [#1026](https://github.com/open-mmlab/mmpose/pull/1026), [#1027](https://github.com/open-mmlab/mmpose/pull/1027), [#1031](https://github.com/open-mmlab/mmpose/pull/1031), [#1038](https://github.com/open-mmlab/mmpose/pull/1038), [#1046](https://github.com/open-mmlab/mmpose/pull/1046), [#1056](https://github.com/open-mmlab/mmpose/pull/1056), [#1057](https://github.com/open-mmlab/mmpose/pull/1057)) @edybk, @luminxu, @ly015, @jin-s13
- Set default random seed in training initialization ([#1030](https://github.com/open-mmlab/mmpose/pull/1030)) @ly015
- Skip CI when only specific files changed ([#1041](https://github.com/open-mmlab/mmpose/pull/1041), [#1059](https://github.com/open-mmlab/mmpose/pull/1059)) @QwQ2000, @ly015
- Automatically cancel uncompleted action runs when new commit arrives ([#1053](https://github.com/open-mmlab/mmpose/pull/1053)) @ly015

**Bug Fixes**

- Update pose tracking demo to be compatible with latest mmtracking ([#1014](https://github.com/open-mmlab/mmpose/pull/1014)) @jin-s13
- Fix symlink creation failure when installed in Windows environments ([#1039](https://github.com/open-mmlab/mmpose/pull/1039)) @QwQ2000
- Fix AP-10K dataset sigmas ([#1040](https://github.com/open-mmlab/mmpose/pull/1040)) @jin-s13

## v0.20.0 (01/11/2021)

**Highlights**

- Add AP-10K dataset for animal pose estimation ([#987](https://github.com/open-mmlab/mmpose/pull/987)) @Annbless, @AlexTheBad, @jin-s13, @ly015
- Support TorchServe ([#979](https://github.com/open-mmlab/mmpose/pull/979)) @ly015

**New Features**

- Add AP-10K dataset for animal pose estimation ([#987](https://github.com/open-mmlab/mmpose/pull/987)) @Annbless, @AlexTheBad, @jin-s13, @ly015
- Add HRNetv2 checkpoints on 300W and COFW datasets ([#980](https://github.com/open-mmlab/mmpose/pull/980)) @jin-s13
- Support TorchServe ([#979](https://github.com/open-mmlab/mmpose/pull/979)) @ly015

**Bug Fixes**

- Fix some deprecated or risky settings in configs ([#963](https://github.com/open-mmlab/mmpose/pull/963), [#976](https://github.com/open-mmlab/mmpose/pull/976), [#992](https://github.com/open-mmlab/mmpose/pull/992)) @jin-s13, @wusize
- Fix issues of default arguments of training and testing scripts ([#970](https://github.com/open-mmlab/mmpose/pull/970), [#985](https://github.com/open-mmlab/mmpose/pull/985)) @liqikai9, @wusize
- Fix heatmap and tag size mismatch in bottom-up with UDP ([#994](https://github.com/open-mmlab/mmpose/pull/994)) @wusize
- Fix python3.9 installation in CI ([#983](https://github.com/open-mmlab/mmpose/pull/983)) @ly015
- Fix model zoo document integrity issue ([#990](https://github.com/open-mmlab/mmpose/pull/990)) @jin-s13

**Improvements**

- Support non-square input shape for bottom-up ([#991](https://github.com/open-mmlab/mmpose/pull/991)) @wusize
- Add image and video resources for demo ([#971](https://github.com/open-mmlab/mmpose/pull/971)) @liqikai9
- Use CUDA docker images to accelerate CI ([#973](https://github.com/open-mmlab/mmpose/pull/973)) @ly015
- Add codespell hook and fix detected typos ([#977](https://github.com/open-mmlab/mmpose/pull/977)) @ly015

## v0.19.0 (08/10/2021)

**Highlights**

- Add models for Associative Embedding with Hourglass network backbone ([#906](https://github.com/open-mmlab/mmpose/pull/906), [#955](https://github.com/open-mmlab/mmpose/pull/955)) @jin-s13, @luminxu
- Support COCO-Wholebody-Face and COCO-Wholebody-Hand datasets ([#813](https://github.com/open-mmlab/mmpose/pull/813)) @jin-s13, @innerlee, @luminxu
- Upgrade dataset interface ([#901](https://github.com/open-mmlab/mmpose/pull/901), [#924](https://github.com/open-mmlab/mmpose/pull/924)) @jin-s13, @innerlee, @ly015, @liqikai9
- New style of documentation ([#945](https://github.com/open-mmlab/mmpose/pull/945)) @ly015

**New Features**

- Add models for Associative Embedding with Hourglass network backbone ([#906](https://github.com/open-mmlab/mmpose/pull/906), [#955](https://github.com/open-mmlab/mmpose/pull/955)) @jin-s13, @luminxu
- Support COCO-Wholebody-Face and COCO-Wholebody-Hand datasets ([#813](https://github.com/open-mmlab/mmpose/pull/813)) @jin-s13, @innerlee, @luminxu
- Add pseudo-labeling tool to generate COCO style keypoint annotations with given bounding boxes ([#928](https://github.com/open-mmlab/mmpose/pull/928)) @soltkreig
- New style of documentation ([#945](https://github.com/open-mmlab/mmpose/pull/945)) @ly015

**Bug Fixes**

- Fix segmentation parsing in Macaque dataset preprocessing ([#948](https://github.com/open-mmlab/mmpose/pull/948)) @jin-s13
- Fix dependencies that may lead to CI failure in downstream projects ([#936](https://github.com/open-mmlab/mmpose/pull/936), [#953](https://github.com/open-mmlab/mmpose/pull/953)) @RangiLyu, @ly015
- Fix keypoint order in Human3.6M dataset ([#940](https://github.com/open-mmlab/mmpose/pull/940)) @ttxskk
- Fix unstable image loading for Interhand2.6M ([#913](https://github.com/open-mmlab/mmpose/pull/913)) @zengwang430521

**Improvements**

- Upgrade dataset interface ([#901](https://github.com/open-mmlab/mmpose/pull/901), [#924](https://github.com/open-mmlab/mmpose/pull/924)) @jin-s13, @innerlee, @ly015, @liqikai9
- Improve demo usability and stability ([#908](https://github.com/open-mmlab/mmpose/pull/908), [#934](https://github.com/open-mmlab/mmpose/pull/934)) @ly015
- Standardize model metafile format ([#941](https://github.com/open-mmlab/mmpose/pull/941)) @ly015
- Support `persistent_worker` and several other arguments in configs ([#946](https://github.com/open-mmlab/mmpose/pull/946)) @jin-s13
- Use MMCV root model registry to enable cross-project module building ([#935](https://github.com/open-mmlab/mmpose/pull/935)) @RangiLyu
- Improve the document quality ([#916](https://github.com/open-mmlab/mmpose/pull/916), [#909](https://github.com/open-mmlab/mmpose/pull/909), [#942](https://github.com/open-mmlab/mmpose/pull/942), [#913](https://github.com/open-mmlab/mmpose/pull/913), [#956](https://github.com/open-mmlab/mmpose/pull/956)) @jin-s13, @ly015, @bit-scientist, @zengwang430521
- Improve pull request template ([#952](https://github.com/open-mmlab/mmpose/pull/952), [#954](https://github.com/open-mmlab/mmpose/pull/954)) @ly015

**Breaking Changes**

- Upgrade dataset interface ([#901](https://github.com/open-mmlab/mmpose/pull/901)) @jin-s13, @innerlee, @ly015

## v0.18.0 (01/09/2021)

**Bug Fixes**

- Fix redundant model weight loading in pytorch-to-onnx conversion ([#850](https://github.com/open-mmlab/mmpose/pull/850)) @ly015
- Fix a bug in update_model_index.py that may cause pre-commit hook failure([#866](https://github.com/open-mmlab/mmpose/pull/866)) @ly015
- Fix a bug in interhand_3d_head ([#890](https://github.com/open-mmlab/mmpose/pull/890)) @zengwang430521
- Fix pose tracking demo failure caused by out-of-date configs ([#891](https://github.com/open-mmlab/mmpose/pull/891))

**Improvements**

- Add automatic benchmark regression tools ([#849](https://github.com/open-mmlab/mmpose/pull/849), [#880](https://github.com/open-mmlab/mmpose/pull/880), [#885](https://github.com/open-mmlab/mmpose/pull/885)) @liqikai9, @ly015
- Add copyright information and checking hook ([#872](https://github.com/open-mmlab/mmpose/pull/872))
- Add PR template ([#875](https://github.com/open-mmlab/mmpose/pull/875)) @ly015
- Add citation information ([#876](https://github.com/open-mmlab/mmpose/pull/876)) @ly015
- Add python3.9 in CI ([#877](https://github.com/open-mmlab/mmpose/pull/877), [#883](https://github.com/open-mmlab/mmpose/pull/883)) @ly015
- Improve the quality of the documents ([#845](https://github.com/open-mmlab/mmpose/pull/845), [#845](https://github.com/open-mmlab/mmpose/pull/845), [#848](https://github.com/open-mmlab/mmpose/pull/848), [#867](https://github.com/open-mmlab/mmpose/pull/867), [#870](https://github.com/open-mmlab/mmpose/pull/870), [#873](https://github.com/open-mmlab/mmpose/pull/873), [#896](https://github.com/open-mmlab/mmpose/pull/896)) @jin-s13, @ly015, @zhiqwang

## v0.17.0 (06/08/2021)

**Highlights**

1. Support ["Lite-HRNet: A Lightweight High-Resolution Network"](https://arxiv.org/abs/2104.06403) CVPR'2021 ([#733](https://github.com/open-mmlab/mmpose/pull/733),[#800](https://github.com/open-mmlab/mmpose/pull/800)) @jin-s13
2. Add 3d body mesh demo ([#771](https://github.com/open-mmlab/mmpose/pull/771)) @zengwang430521
3. Add Chinese documentation ([#787](https://github.com/open-mmlab/mmpose/pull/787), [#798](https://github.com/open-mmlab/mmpose/pull/798), [#799](https://github.com/open-mmlab/mmpose/pull/799), [#802](https://github.com/open-mmlab/mmpose/pull/802), [#804](https://github.com/open-mmlab/mmpose/pull/804), [#805](https://github.com/open-mmlab/mmpose/pull/805), [#815](https://github.com/open-mmlab/mmpose/pull/815), [#816](https://github.com/open-mmlab/mmpose/pull/816), [#817](https://github.com/open-mmlab/mmpose/pull/817), [#819](https://github.com/open-mmlab/mmpose/pull/819), [#839](https://github.com/open-mmlab/mmpose/pull/839)) @ly015, @luminxu, @jin-s13, @liqikai9, @zengwang430521
4. Add Colab Tutorial ([#834](https://github.com/open-mmlab/mmpose/pull/834)) @ly015

**New Features**

- Support ["Lite-HRNet: A Lightweight High-Resolution Network"](https://arxiv.org/abs/2104.06403) CVPR'2021 ([#733](https://github.com/open-mmlab/mmpose/pull/733),[#800](https://github.com/open-mmlab/mmpose/pull/800)) @jin-s13
- Add 3d body mesh demo ([#771](https://github.com/open-mmlab/mmpose/pull/771)) @zengwang430521
- Add Chinese documentation ([#787](https://github.com/open-mmlab/mmpose/pull/787), [#798](https://github.com/open-mmlab/mmpose/pull/798), [#799](https://github.com/open-mmlab/mmpose/pull/799), [#802](https://github.com/open-mmlab/mmpose/pull/802), [#804](https://github.com/open-mmlab/mmpose/pull/804), [#805](https://github.com/open-mmlab/mmpose/pull/805), [#815](https://github.com/open-mmlab/mmpose/pull/815), [#816](https://github.com/open-mmlab/mmpose/pull/816), [#817](https://github.com/open-mmlab/mmpose/pull/817), [#819](https://github.com/open-mmlab/mmpose/pull/819), [#839](https://github.com/open-mmlab/mmpose/pull/839)) @ly015, @luminxu, @jin-s13, @liqikai9, @zengwang430521
- Add Colab Tutorial ([#834](https://github.com/open-mmlab/mmpose/pull/834)) @ly015
- Support training for InterHand v1.0 dataset ([#761](https://github.com/open-mmlab/mmpose/pull/761)) @zengwang430521

**Bug Fixes**

- Fix mpii pckh@0.1 index ([#773](https://github.com/open-mmlab/mmpose/pull/773)) @jin-s13
- Fix multi-node distributed test ([#818](https://github.com/open-mmlab/mmpose/pull/818)) @ly015
- Fix docstring and init_weights error of ShuffleNetV1 ([#814](https://github.com/open-mmlab/mmpose/pull/814)) @Junjun2016
- Fix imshow_bbox error when input bboxes is empty ([#796](https://github.com/open-mmlab/mmpose/pull/796)) @ly015
- Fix model zoo doc generation ([#778](https://github.com/open-mmlab/mmpose/pull/778)) @ly015
- Fix typo ([#767](https://github.com/open-mmlab/mmpose/pull/767)), ([#780](https://github.com/open-mmlab/mmpose/pull/780), [#782](https://github.com/open-mmlab/mmpose/pull/782)) @ly015, @jin-s13

**Breaking Changes**

- Use MMCV EvalHook ([#686](https://github.com/open-mmlab/mmpose/pull/686)) @ly015

**Improvements**

- Add pytest.ini and fix docstring ([#812](https://github.com/open-mmlab/mmpose/pull/812)) @jin-s13
- Update MSELoss ([#829](https://github.com/open-mmlab/mmpose/pull/829)) @Ezra-Yu
- Move process_mmdet_results into inference.py ([#831](https://github.com/open-mmlab/mmpose/pull/831)) @ly015
- Update resource limit ([#783](https://github.com/open-mmlab/mmpose/pull/783)) @jin-s13
- Use COCO 2D pose model in 3D demo examples ([#785](https://github.com/open-mmlab/mmpose/pull/785)) @ly015
- Change model zoo titles in the doc from center-aligned to left-aligned ([#792](https://github.com/open-mmlab/mmpose/pull/792), [#797](https://github.com/open-mmlab/mmpose/pull/797)) @ly015
- Support MIM ([#706](https://github.com/open-mmlab/mmpose/pull/706), [#794](https://github.com/open-mmlab/mmpose/pull/794)) @ly015
- Update out-of-date configs ([#827](https://github.com/open-mmlab/mmpose/pull/827)) @jin-s13
- Remove opencv-python-headless dependency by albumentations ([#833](https://github.com/open-mmlab/mmpose/pull/833)) @ly015
- Update QQ QR code in README_CN.md ([#832](https://github.com/open-mmlab/mmpose/pull/832)) @ly015

## v0.16.0 (02/07/2021)

**Highlights**

1. Support ["ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search"](https://arxiv.org/abs/2105.10154) CVPR'2021 ([#742](https://github.com/open-mmlab/mmpose/pull/742),[#755](https://github.com/open-mmlab/mmpose/pull/755)).
2. Support MPI-INF-3DHP dataset ([#683](https://github.com/open-mmlab/mmpose/pull/683),[#746](https://github.com/open-mmlab/mmpose/pull/746),[#751](https://github.com/open-mmlab/mmpose/pull/751)).
3. Add webcam demo tool ([#729](https://github.com/open-mmlab/mmpose/pull/729))
4. Add 3d body and hand pose estimation demo ([#704](https://github.com/open-mmlab/mmpose/pull/704), [#727](https://github.com/open-mmlab/mmpose/pull/727)).

**New Features**

- Support ["ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search"](https://arxiv.org/abs/2105.10154) CVPR'2021 ([#742](https://github.com/open-mmlab/mmpose/pull/742),[#755](https://github.com/open-mmlab/mmpose/pull/755))
- Support MPI-INF-3DHP dataset ([#683](https://github.com/open-mmlab/mmpose/pull/683),[#746](https://github.com/open-mmlab/mmpose/pull/746),[#751](https://github.com/open-mmlab/mmpose/pull/751))
- Support Webcam demo ([#729](https://github.com/open-mmlab/mmpose/pull/729))
- Support Interhand 3d demo ([#704](https://github.com/open-mmlab/mmpose/pull/704))
- Support 3d pose video demo ([#727](https://github.com/open-mmlab/mmpose/pull/727))
- Support H36m dataset for 2d pose estimation ([#709](https://github.com/open-mmlab/mmpose/pull/709), [#735](https://github.com/open-mmlab/mmpose/pull/735))
- Add scripts to generate mim metafile ([#749](https://github.com/open-mmlab/mmpose/pull/749))

**Bug Fixes**

- Fix typos ([#692](https://github.com/open-mmlab/mmpose/pull/692),[#696](https://github.com/open-mmlab/mmpose/pull/696),[#697](https://github.com/open-mmlab/mmpose/pull/697),[#698](https://github.com/open-mmlab/mmpose/pull/698),[#712](https://github.com/open-mmlab/mmpose/pull/712),[#718](https://github.com/open-mmlab/mmpose/pull/718),[#728](https://github.com/open-mmlab/mmpose/pull/728))
- Change model download links from `http` to `https` ([#716](https://github.com/open-mmlab/mmpose/pull/716))

**Breaking Changes**

- Switch to MMCV MODEL_REGISTRY ([#669](https://github.com/open-mmlab/mmpose/pull/669))

**Improvements**

- Refactor MeshMixDataset ([#752](https://github.com/open-mmlab/mmpose/pull/752))
- Rename 'GaussianHeatMap' to 'GaussianHeatmap' ([#745](https://github.com/open-mmlab/mmpose/pull/745))
- Update out-of-date configs ([#734](https://github.com/open-mmlab/mmpose/pull/734))
- Improve compatibility for breaking changes ([#731](https://github.com/open-mmlab/mmpose/pull/731))
- Enable to control radius and thickness in visualization ([#722](https://github.com/open-mmlab/mmpose/pull/722))
- Add regex dependency ([#720](https://github.com/open-mmlab/mmpose/pull/720))

## v0.15.0 (02/06/2021)

**Highlights**

1. Support 3d video pose estimation (VideoPose3D).
2. Support 3d hand pose estimation (InterNet).
3. Improve presentation of modelzoo.

**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 conversion ([#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))

## v0.14.0 (06/05/2021)

**Highlights**

1. Support animal pose estimation with 7 popular datasets.
2. 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))

## v0.13.0 (31/03/2021)

**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 PCKh@0.1 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))

## v0.12.0 (28/02/2021)

**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))

## v0.11.0 (31/01/2021)

**Highlights**

1. Support fashion landmark detection.
2. Support face keypoint detection.
3. 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 readme ([#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))

## v0.10.0 (31/12/2020)

**Highlights**

1. Support more human pose estimation methods.
   - [UDP](https://arxiv.org/abs/1911.07524)
2. Support pose tracking.
3. Support multi-batch inference.
4. Add some useful tools, including `analyze_logs`, `get_flops`, `print_config`.
5. 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))

## v0.9.0 (30/11/2020)

**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))

## v0.8.0 (31/10/2020)

**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))

## v0.7.0 (30/9/2020)

**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))

## v0.6.0 (31/8/2020)

**Highlights**

1. Add more 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 more 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))

## v0.5.0 (21/7/2020)

**Highlights**

- MMPose is released.

**Main Features**

- Support both top-down and bottom-up pose estimation approaches.
- Achieve higher training efficiency and higher accuracy than other popular codebases (e.g. AlphaPose, HRNet)
- Support various backbone models: ResNet, HRNet, SCNet, Houglass and HigherHRNet.