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authoredSep 27, 2020
update readme and changelog for panoptic (open-mmlab#158)
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‎README.md

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- [x] [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose)
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- [x] [OneHand10K](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html)
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- [x] [FreiHand](https://lmb.informatik.uni-freiburg.de/projects/freihand/)
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- [x] [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html)
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Results and models are available in the *README.md* of each method's config directory.
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A summary can be found in the [**model zoo**](https://mmpose.readthedocs.io/en/latest/top_down_models.html) page.

‎docs/changelog.md

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3. Support more 2d hand keypoint estimation datasets.
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- [Frei-hand](https://lmb.informatik.uni-freiburg.de/projects/freihand/)
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- [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html)
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4. Support hand demo.
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**New Features**
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- Support [COCO-WholeBody](https://github.com/jin-s13/COCO-WholeBody) dataset ([#133](https://github.com/open-mmlab/mmpose/pull/133)).
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- Support [Frei-hand](https://lmb.informatik.uni-freiburg.de/projects/freihand/) dataset ([#125](https://github.com/open-mmlab/mmpose/pull/125)).
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- Support [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html) dataset ([#144](https://github.com/open-mmlab/mmpose/pull/144)).
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- Support ShuffleNetv2 ([#139](https://github.com/open-mmlab/mmpose/pull/139)).
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- Support saving best models based on key indicator ([#127](https://github.com/open-mmlab/mmpose/pull/127)).
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‎docs/data_preparation.md

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- [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose)
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- [OneHand10K](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html)
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- [FreiHand](https://lmb.informatik.uni-freiburg.de/projects/freihand/)
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- [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html)
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## COCO
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|── 00000001.jpg
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...
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```
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## CMU Panoptic HandDB
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For CMU Panoptic HandDB, please download from [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html).
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Following [Simon et al](https://arxiv.org/abs/1704.07809), panoptic images (hand143_panopticdb) and MPII & NZSL training sets (manual_train) are used for training, while MPII & NZSL test set (manual_test) for testing.
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Please download the annotation files from [panoptic_annotations](https://download.openmmlab.com/mmpose/datasets/panoptic_annotations.tar).
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Extract them under {MMPose}/data, and make them look like this:
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```
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mmpose
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├── mmpose
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├── docs
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├── tests
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├── tools
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├── configs
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`── data
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│── panoptic
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|── annotations
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| |── panoptic_train.json
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| |── panoptic_test.json
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|
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`── hand143_panopticdb
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| |── imgs
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| | |── 00000000.jpg
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| | |── 00000001.jpg
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| | ...
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|
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`── hand_labels
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|── manual_train
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| |── 000015774_01_l.jpg
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| |── 000015774_01_r.jpg
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| ...
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|
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`── manual_test
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|── 000648952_02_l.jpg
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|── 000835470_01_l.jpg
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...
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```

‎docs/getting_started.md

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- [CrowdPose](https://github.com/Jeff-sjtu/CrowdPose)
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- [OneHand10K](https://www.yangangwang.com/papers/WANG-MCC-2018-10.html)
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- [FreiHand](https://lmb.informatik.uni-freiburg.de/projects/freihand/)
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- [CMU Panoptic HandDB](http://domedb.perception.cs.cmu.edu/handdb.html)
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Please follow [DATA Preparation](data_preparation.md) to prepare the data.
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