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Dynamic vision processing system for FRC coprocessors

Project description

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  • Pipeline System: Organize and manage vision processing tasks efficiently.
  • Multiple Camera Support: Handle multiple camera inputs simultaneously.
  • NetworkTables Integration: Post vision results directly to NetworkTables for easy access in FRC dashboards.
  • Global Pipeline Configuration: Easily configure global pipeline settings.
  • Fast Pipeline Development: Streamlined workflow for creating and testing new pipelines.
  • Custom Python Pipelines: Load and run custom Python-based vision pipelines.
  • Realtime Settings: Adjust settings in real-time through NetworkTables & UI.
  • Dynamic Pipeline Creation: Create and modify pipelines dynamically.
  • Interactive UI: A responsive, visual interface for:
    • Viewing live camera feeds
    • Managing and switching between pipelines
    • Tuning pipeline parameters in real-time
    • Monitoring output data and debugging visually Designed for intuitive interaction and minimal setup.

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Project Structure

  • synapse_core: Contains the core Python library for Synapse.
  • synapse_net: Contains the networking library for the runtime, including NetworkTables and socket communication, as well as Protocol Buffers message definitions.
  • synapse_lib Contains the vendordep library for the robot to communicate with the Synapse runtime.
  • synapse_ui: Contains the graphical user interface (UI) for interacting with the Synapse runtime.

License

This project is licensed under the GNU V3 License.

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