OpenTrafficCam/OTAnalytics

GitHub: OpenTrafficCam/OTAnalytics

Stars: 24 | Forks: 8

# OTAnalytics [![PyPI version](https://img.shields.io/pypi/v/OTAnalytics.svg)](https://pypi.org/p/OTAnalytics/) [![Tests](https://static.pigsec.cn/wp-content/uploads/repos/2026/06/a8c449254a124356.svg)](https://github.com/OpenTrafficCam/OTAnalytics/actions/workflows/test.yml?query=tag%3Alatest) [![Tests](https://static.pigsec.cn/wp-content/uploads/repos/2026/06/914b8894f3124401.svg)](https://github.com/OpenTrafficCam/OTAnalytics/actions/workflows/build-release.yml) OTAnalytics is a core module of the [OpenTrafficCam framework](https://github.com/OpenTrafficCam) designed to perform traffic analysis on trajectories of road users tracked by [OTVision](https://github.com/OpenTrafficCam/OTVision) or other tools in videos recorded by [OTCamera](https://github.com/OpenTrafficCam/OTCamera) or other camera systems. ## Overview OTAnalytics provides tools for analyzing traffic data, including: - Processing trajectory data of road users - Defining and analyzing traffic flows - Counting vehicles/road users assigned to flows - Generating event lists and statistics - Visualizing traffic data The application offers multiple user interfaces: - A graphical desktop interface (using CustomTkinter) - A command-line interface for automation and batch processing ## Installation ### Requirements - Python 3.12 - Dependencies listed in [requirements.txt](requirements.txt) ### Installation from GitHub Releases (Recommended) The easiest way to install OTAnalytics is to download the latest release from the [GitHub Releases page](https://github.com/OpenTrafficCam/OTAnalytics/releases). 1. Go to the [OTAnalytics Releases page](https://github.com/OpenTrafficCam/OTAnalytics/releases) 2. Download the latest release for your operating system 3. Extract the downloaded archive 4. Run the application using the instructions in the [Usage](#usage) section ### Installation from Source (Linux/macOS) If you prefer to install from source: 1. Clone the repository: git clone https://github.com/OpenTrafficCam/OTAnalytics.git cd OTAnalytics 2. Run the installation script: ./install.sh ### Installation from Source (Windows) If you prefer to install from source: 1. Clone the repository: git clone https://github.com/OpenTrafficCam/OTAnalytics.git cd OTAnalytics 2. Run the installation script: install.cmd ## Usage ### Starting the Application #### Desktop GUI (Default) On Linux/macOS: ./start_gui.sh On Windows: start_gui.cmd #### Command Line Interface On Linux/macOS: ./start_gui.sh --cli On Windows: start_gui.cmd --cli ### Configuration OTAnalytics can be configured using: 1. Command-line arguments 2. Configuration files (YAML format) Example configuration options: - Specify track files for analysis - Define flow and section configurations using otflow files - Configure export formats and counting intervals - Control parallelization with multiple processes - Include or exclude specific road user classes ## Features - **Track Analysis**: Process and analyze trajectory data from various sources - **Flow Definition**: Define and analyze traffic flows between sections - **Counting**: Count road users assgined to flows with configurable time intervals - **Event Detection**: Generate event lists when road users cross defined sections - **Visualization**: Visualize tracks, flows, and sections - **Export**: Export analysis results in various formats - **Filtering**: Filter tracks by road user class and time - **Parallelization**: Process data using multiple CPU cores ## Documentation For detailed instructions on how to install and use OTAnalytics, please refer to the [official documentation](https://opentrafficcam.org/OTAnalytics). - [Installation Guide](https://opentrafficcam.org/OTAnalytics/installation/) - [User Interface Guide](https://opentrafficcam.org/OTAnalytics/usage-ui/) ## License This software is licensed under the [GPL-3.0 License](LICENSE) ## Contact - GitHub: [https://github.com/OpenTrafficCam](https://github.com/OpenTrafficCam) - Email: [team@opentrafficcam.org](mailto:team@opentrafficcam.org)