Hyperpose

Latest version: v2.2.0

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2.2.0

- OpenPifPaf model support (Python Training & C++ Inference), 3.1x SPEED UP 🚀🚀🚀
- Docker container updated to 2.2.0: https://hub.docker.com/repository/docker/tensorlayer/hyperpose
- support CUDA 10 series (low driver requirement) and advanced CUDA 10.2 - CuDNN 8 - TensorRT 8 series.
- Pip installation! https://pypi.org/project/hyperpose/
- Add a bunch of new pre-trained models, please check: https://drive.google.com/drive/folders/1w9EjMkrjxOmMw3Rf6fXXkiv_ge7M99jR
- OpenPifPaf, OpenPose-VGGv2, OpenPose-MobileNet
- Heavily refactored documentation for a better reading experience! https://hyperpose.readthedocs.io/en/latest/index.html

2.2.0alpha

- OpenPifPaf model support (Python Training + C++ Inference);
- Docker container updated to 2.2.0: https://hub.docker.com/repository/docker/tensorlayer/hyperpose
- Add a bunch of new pre-trained models, please check: https://drive.google.com/drive/folders/1w9EjMkrjxOmMw3Rf6fXXkiv_ge7M99jR
- Refactored documents.

2.1.0

- Docker support: https://hub.docker.com/repository/docker/tensorlayer/hyperpose
- HyperPose command-line tool: `hyperpose-cli`
- Add functionality to keep the original aspect ratio(this is good for precision).
- New README.
- Visualization:
- Line size varies with person size.
- Translucent connection line in `hyperpose-cli`.

2.0.0

Key Features:

- Python Training Module
- User-defined model arch
- MS COCO + MPII dataset support
- User-defined dataset filter and training pipeline
- C++ Accelerated Prediction
- Operator API
- Stream API
- More model supports
- OpenPose
- Lightweight-OpenPose
- PoseProposal Network
- [Documentation](https://hyperpose.readthedocs.io/en/latest/)
- [More pretrained models](https://drive.google.com/drive/folders/1w9EjMkrjxOmMw3Rf6fXXkiv_ge7M99jR?usp=sharing)(Continuous updating)

1.0.0

The 1st version of OpenPose-Plus provides the functionality to do low-level inference, local training, and distributed training. The inference API of the 1st version is quite straightforward and low-level(without much high-level abstraction).

As a new version of OpenPose-Plus is upcoming, we made the old version a release.

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