3 Commits

Author	SHA1	Message	Date
Masonmason	9020be5e7a	Add Kneron device auto-detection and connection features ... - Add scan_devices() method using kp.core.scan_devices() for device discovery - Add connect_auto_detected_devices() for automatic device connection - Add device series detection (KL520, KL720, KL630, KL730, KL540, etc.) - Add auto_detect parameter to MultiDongle constructor - Add get_device_info() and print_device_info() methods to display port IDs and series - Update connection logic to use kp.core.connect_devices() per official docs - Add device_detection_example.py with usage examples - Maintain backward compatibility with manual port specification Features display dongle series and port ID as requested for better device management. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-07-16 21:13:33 +08:00
Masonmason	f5e017b099	Fix DataProcessor missing class error in pipeline deployment ... - Add DataProcessor abstract base class with process method - Add PostProcessor class for handling inference output data - Fix PreProcessor inheritance from DataProcessor - Resolves "name 'DataProcessor' is not defined" error during pipeline deployment 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-07-16 20:53:41 +08:00
Masonmason	080eb5b887	Add intelligent pipeline topology analysis and comprehensive UI framework ... Major Features: • Advanced topological sorting algorithm with cycle detection and resolution • Intelligent pipeline optimization with parallelization analysis • Critical path analysis and performance metrics calculation • Comprehensive .mflow file converter for seamless UI-to-API integration • Complete modular UI framework with node-based pipeline editor • Enhanced model node properties (scpu_fw_path, ncpu_fw_path) • Professional output formatting without emoji decorations Technical Improvements: • Graph theory algorithms (DFS, BFS, topological sort) • Automatic dependency resolution and conflict prevention • Multi-criteria pipeline optimization • Real-time stage count calculation and validation • Comprehensive configuration validation and error handling • Modular architecture with clean separation of concerns New Components: • MFlow converter with topology analysis (core/functions/mflow_converter.py) • Complete node system with exact property matching • Pipeline editor with visual node connections • Performance estimation and dongle management panels • Comprehensive test suite and demonstration scripts 🤖 Generated with Claude Code (https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com>	2025-07-10 12:58:47 +08:00