Installation

Quick option:

Pre-built binaries for Windows, macOS, and Linux are available on the GitHub Releases page. Download the latest release for your platform and run the executable—no installation required.

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Requirements

• Python 3.9 or later
• PyQt6
• Other dependencies (see requirements.txt)

Steps

1. Clone the repository: bash git clone https://github.com/OpenSportsLab/DatasetAnnotationTool.git cd DatasetAnnotationTool

2. (Recommended) Create a Conda environment: bash conda create -n osl-visualizer python=3.9 -y conda activate osl-visualizer

3. Install dependencies: The main dependencies are:

   • pyqt6
   • opencv-python (optional, for video rendering/computer vision)
   • See requirements.txt for the full list

   Install with pip: ```bash pip install pyqt6

   Optional, for video rendering/computer vision:

   pip install opencv-python

   Or install all dependencies:

   pip install -r requirements.txt ```

4. Run the tool: bash python osl_visualizer/main.py

Troubleshooting

• If you have issues with Qt or video playback, check Troubleshooting.