- Add result callback mechanism to WorkflowOrchestrator
- Implement result_updated signal in DeploymentWorker
- Create detailed inference results display with timestamps and formatted output
- Support both tuple and dict result formats
- Add auto-scrolling results panel with history management
- Connect pipeline results to Live View tab for real-time monitoring
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix remaining array comparison error in inference result validation
- Update PyQt signal signature for proper numpy array handling
- Improve DeploymentWorker to keep running after deployment
- Enhance stop button with non-blocking UI updates and better error handling
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Fix ambiguous truth value error in InferencePipeline result handling
- Add stop inference button to deployment dialog with proper UI state management
- Improve error handling for tuple vs dict result types
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Replace simulated dongle detection with actual kp.core.scan_devices()
- Display real device series (KL520, KL720, etc.) and port IDs in UI
- Add device information management methods (get_detected_devices, refresh_dongle_detection, etc.)
- Enhanced performance estimation based on actual detected devices
- Add device-specific optimization suggestions and warnings
- Fallback to simulation mode if device scanning fails
- Store detected device info for use throughout the application
The Dashboard now shows real Kneron device information when "Detect Dongles" is clicked,
displaying format: "KL520 Dongle - Port 28" with total device count.
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
• Comment out pipeline editor to resolve import conflicts
• Update test.mflow with new node IDs and preprocess node
• Add new deployment screenshot
• Remove old screenshot file
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
Major Features:
• Complete deployment dialog system with validation and dongle management
• Enhanced dashboard with deploy button and validation checks
• Comprehensive deployment test suite and demo scripts
• Pipeline validation for model paths, firmware, and port configurations
• Real-time deployment status tracking and error handling
Technical Improvements:
• Node property validation for deployment readiness
• File existence checks for models and firmware files
• Port ID validation and format checking
• Integration between UI components and core deployment functions
• Comprehensive error messaging and user feedback
New Components:
• DeploymentDialog with advanced configuration options
• Pipeline deployment validation system
• Test deployment scripts with various scenarios
• Enhanced dashboard UI with deployment workflow
• Screenshot updates reflecting new deployment features
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
