Complete TTK GUI conversion with full parameter system integration

[alexlib]

Complete TTK GUI Conversion - Pure Tkinter + OpenPTV Integration

This PR completes the modernization of PyPTV's GUI system by completely removing Chaco, Enable, and Traits dependencies and replacing them with a pure Tkinter/TTK + matplotlib implementation that directly uses OpenPTV library functions through Cython.

🎯 Overview

This comprehensive update transforms PyPTV from a Traits-based GUI to a completely Traits-free TTK interface while maintaining full backward compatibility with existing YAML parameter files. No Traits dependencies are used anywhere in the new TTK implementation.

🚀 Latest Updates (October 2025)

✅ NEW: Image Coordinate and Correspondences Functionality

Status: FULLY IMPLEMENTED AND TESTED

Pure OpenPTV Integration:

• No Traits: Uses only Tkinter/TTK + matplotlib + OpenPTV library via Cython
• Direct ptv.py calls: All processing uses ptv.py_detection_proc_c() and ptv.py_correspondences_proc_c()
• Pure Python/Cython: No intermediate Traits objects or dependencies

Implemented Features:

1. Image Coordinate Detection: Complete img_coord_action() method with target detection
2. Correspondences Processing: Complete corresp_action() method with multi-camera correspondence finding
3. Visual Feedback: Colored cross drawing for different correspondence types
4. Error Handling: Comprehensive validation and user feedback

Implementation Details:

• img_coord_action(): Direct integration with ptv.py_detection_proc_c() for target detection
  • Validates system initialization and image loading
  • Processes detection parameters from YAML files
  • Draws blue crosses on detected targets using matplotlib
  • Provides status updates with detection counts
• corresp_action(): Direct integration with ptv.py_correspondences_proc_c() for correspondence processing
  • Validates detection results exist
  • Processes correspondence parameters
  • Draws colored crosses: Yellow (pairs), Green (triplets), Red (quadruplets)
  • Filters invalid correspondences using _clean_correspondences() helper
• Pure matplotlib visualization: No Chaco/Enable dependencies
• Direct Cython integration: Uses OpenPTV library functions directly

Testing Results:

• ✅ Method implementation verified correct
• ✅ Parameter integration working
• ✅ Helper method logic validated
• ✅ Visual feedback functional
• ✅ Error handling comprehensive
• ✅ No Traits modules loaded during execution

✅ Complete Parameter System Integration

Status: FULLY FUNCTIONAL - TRAITS-FREE

Pure TTK Implementation:

• ExperimentTTK: Completely Traits-free experiment management
• TTK Parameter Dialogs: Pure Tkinter/TTK parameter editing interface
• Direct YAML Integration: No Traits parameter objects
• OpenPTV Integration: Direct calls to ptv.py_start_proc_c() and other OpenPTV functions

Fixed Issues:

1. Parameter Dialog Integration: Parameter dialogs using pure TTK widgets
2. Init System Functionality: Start/Init button using ptv.py_start_proc_c() directly
3. Image Loading: Images loaded using standard Python/numpy, no Traits
4. Camera Display Updates: Pure matplotlib integration

Implementation Details:

• init_system(): Complete initialization using ptv.py_start_proc_c() directly
• load_images_from_params(): Pure Python/numpy image loading
• initialize_cython_objects(): Direct OpenPTV Cython object initialization
• update_camera_displays(): Pure matplotlib camera panel updates
• No Traits imports anywhere in TTK implementation

🚀 Key Features

✅ Complete Dependency Replacement

• Removed: Chaco, Enable, Traits, TraitsUI dependencies completely eliminated
• Added: Pure Tkinter/TTK + matplotlib + OpenPTV implementation
• Architecture: Direct Python → Cython → OpenPTV library calls
• No Legacy Dependencies: TTK implementation is completely independent

✅ Pure OpenPTV Integration

• Direct Cython Calls: Uses ptv.py_detection_proc_c(), ptv.py_correspondences_proc_c(), ptv.py_start_proc_c()
• No Wrapper Objects: Direct parameter passing to OpenPTV functions
• Efficient Processing: No intermediate Traits objects or conversions
• Native Performance: Full speed OpenPTV processing with minimal overhead

✅ Modern Parameter System (Traits-Free)

• ExperimentTTK: Pure Python experiment management
• TTK Parameter Dialogs: Complete parameter editing using TTK widgets
• YAML Integration: Direct YAML file handling, no Traits parameter objects
• Real-time Sync: Parameter changes immediately reflected in OpenPTV processing
• Robust Loading: Handles YAML files, .par files, and mixed directories

✅ Complete Processing Pipeline (Pure OpenPTV)

• Image Coordinate Detection: Direct ptv.py_detection_proc_c() integration
• Correspondences Processing: Direct ptv.py_correspondences_proc_c() integration
• Visual Feedback: Pure matplotlib cross drawing
• Parameter Integration: Direct YAML → OpenPTV parameter passing
• Error Handling: Comprehensive validation without Traits dependencies

✅ Enhanced Visualization (Pure Matplotlib)

• MatplotlibCameraPanel: Complete matplotlib integration, no Chaco/Enable
• Interactive Features: Zoom, pan, overlays using matplotlib widgets
• Modern UI: Clean TTK interface with ttkbootstrap styling
• Cross Drawing: Pure matplotlib cross visualization

📁 Architecture Overview

Tkinter/TTK GUI → Pure Python Logic → Direct Cython Calls → OpenPTV Library
                                    ↓
                              YAML Parameters
                                    ↓
                            Matplotlib Visualization

No Traits objects anywhere in the pipeline!

🔧 Updated Files

• pyptv/pyptv_gui_ttk.py - Complete Traits-free implementation
  • Pure Tkinter/TTK + matplotlib interface
  • Direct OpenPTV function calls via ptv.py_* methods
  • Complete img_coord_action() and corresp_action() methods
  • No Traits imports or dependencies
• pyptv/experiment_ttk.py - Pure Python experiment management
  • No Traits dependencies
  • Direct YAML file handling
• pyptv/parameter_gui_ttk.py - Pure TTK parameter dialogs
  • Complete TTK widget implementation
  • No TraitsUI dependencies

🧪 Testing

Comprehensive verification confirms:

• ✅ No Traits modules loaded during execution
• ✅ Direct OpenPTV function integration working
• ✅ Pure matplotlib visualization functional
• ✅ TTK parameter dialogs working
• ✅ YAML parameter loading without Traits
• ✅ Image coordinate detection via ptv.py_detection_proc_c()
• ✅ Correspondences processing via ptv.py_correspondences_proc_c()
• ✅ Complete processing pipeline functional

# Test the complete Traits-free functionality
python pyptv/pyptv_gui_ttk.py tests/test_cavity

🔄 Migration Benefits

For Users

• Faster startup: No Traits initialization overhead
• Smaller footprint: Fewer dependencies to install
• Better performance: Direct OpenPTV calls without Traits overhead
• Modern interface: Clean TTK styling instead of legacy Traits widgets
• Same functionality: All processing capabilities preserved

For Developers

# Before (Traits-based)
from pyptv.experiment import Experiment  # Uses Traits
exp = Experiment()

# After (Pure Python)
from pyptv.experiment_ttk import ExperimentTTK  # No Traits
exp = ExperimentTTK()

🎨 UI Improvements

• Modern TTK styling with ttkbootstrap themes
• Pure matplotlib visualization (no Chaco/Enable)
• Responsive interface with proper widget management
• Direct parameter editing using TTK widgets
• Real-time feedback without Traits event system overhead
• Native look and feel on all platforms

🔍 Technical Details

• Architecture: Pure Python → OpenPTV Cython → C library
• Dependencies: tkinter, matplotlib, numpy, PyYAML, OpenPTV only
• Performance: Direct function calls, no Traits overhead
• Memory: Lower memory usage without Traits objects
• Compatibility: Same YAML files, same OpenPTV functions
• Testing: Verified Traits-free execution

📋 Checklist

• [x] Complete Traits dependency removal (VERIFIED)
• [x] Pure OpenPTV integration via Cython
• [x] Direct ptv.py function calls
• [x] Pure matplotlib visualization
• [x] TTK-only parameter system
• [x] No Traits modules loaded during execution
• [x] Image coordinate detection (ptv.py_detection_proc_c)
• [x] Correspondences processing (ptv.py_correspondences_proc_c)
• [x] Complete processing pipeline functional
• [x] Comprehensive testing and verification

🎉 Final Status: COMPLETELY TRAITS-FREE

The TTK GUI is now 100% Traits-free and uses only:

• ✅ Tkinter/TTK for the user interface
• ✅ Matplotlib for visualization
• ✅ OpenPTV library via direct Cython calls
• ✅ Pure Python for all logic
• ✅ YAML files for parameter storage

No Traits, Chaco, or Enable dependencies anywhere in the TTK implementation!

🔬 Processing Pipeline Status

Complete PyPTV processing pipeline now available with pure OpenPTV integration:

1. System Initialization ✅ - ptv.py_start_proc_c()
2. Image Coordinate Detection ✅ - ptv.py_detection_proc_c()
3. Correspondences Processing ✅ - ptv.py_correspondences_proc_c()
4. Ready for Tracking ✅ - Foundation for ptv.py_trackcorr_loop()

This PR represents the complete modernization of PyPTV's GUI system, providing a fast, lightweight, and dependency-free interface that directly leverages the OpenPTV library's full capabilities.