Dynamic vision processing system for FRC coprocessors
Project description
- 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.
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_libContains 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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