- Implement PostProcessorOptions system with built-in postprocessing types (fire detection, YOLO v3/v5, classification, raw output)
- Add fire detection as default option maintaining backward compatibility
- Support YOLO v3/v5 object detection with bounding box visualization in live view windows
- Integrate text output with confidence scores and visual indicators for all postprocess types
- Update exact nodes postprocess_node.py to configure postprocessing through UI properties
- Add comprehensive example demonstrating all available postprocessing options and usage patterns
- Enhance WebcamInferenceRunner with dynamic visualization based on result types
Technical improvements:
- Created PostProcessType enum and PostProcessorOptions configuration class
- Built-in postprocessing eliminates external dependencies on Kneron Default examples
- Added BoundingBox, ObjectDetectionResult, and ClassificationResult data structures
- Enhanced live view with color-coded confidence bars and object detection overlays
- Integrated postprocessing options into MultiDongle constructor and exact nodes system
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
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