forked from masonhuang/cluster4npu
d90d9d6783
- 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>