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Human Pose Estimation (HPE) in basketball videos

The objective of this project is simulate the human pose in basketball videos which is the movement of players to 2-dimension image.

How to run

Prerequisites

  • Linux or macOS
  • Python 3.6+
  • Pytorch
    • pip install torch==1.7.0+cu110 torchvision==0.8.1+cu110 torchaudio==0.7.0 -f https://download.pytorch.org/whl/torch_stable.html
  • MMDetection
    • pip install mmcv-full -f https://download.openmmlab.com/mmcv/dist/cu110/torch1.7.0/index.html
    • git clone https://github.com/open-mmlab/mmdetection.git
    • cd mmdetection
    • pip install -r requirements/build.txt
    • pip install -v -e .
    • cd ..
  • MMPose
    • pip install -r requirements.txt
    • python setup.py develop

Run

sh run.sh ${video_path} ${device}

  • video_path is path of basket ball video input
  • device: cpu for using MMPose with CPU or cuda if using GPU
  • the outputs is in new created output folder

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OpenMMLab Pose Estimation Toolbox and Benchmark.

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