- Remove all debug print statements from deployment dialog
- Remove debug output from workflow orchestrator and inference pipeline
- Remove test signal emissions and unused imports
- Code is now clean and production-ready
- Results are successfully flowing from inference to GUI display
- Add time import for test result generation
- Add test signal emissions to verify GUI connection works
- Add debug prints for signal establishment
- Test both result_updated and terminal_output signals
- This will help identify if the issue is signal connection or data flow
- Add debug prints in combined_result_callback to see received data
- Add debug prints in update_inference_results to track GUI updates
- Fix tuple order in terminal formatting to match actual (probability, result) format
- This will help identify why results show in terminal but not in GUI
- Add upload_fw property to ExactModelNode for firmware upload control
- Display all model node properties in right panel (model_path, scpu_fw_path, ncpu_fw_path, dongle_series, num_dongles, port_id, upload_fw)
- Replace console terminal output with GUI terminal display in deployment dialog
- Add Terminal Output section to deployment tab with proper formatting
- Terminal results now appear in app view instead of console for packaged apps
- Maintain backward compatibility with existing pipeline configurations
🤖 Generated with [Claude Code](https://claude.ai/code)
Co-Authored-By: Claude <noreply@anthropic.com>
- 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>
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>
