Phase 1 Progress - Convert UI Cleanup (dev23):
Architecture Improvements:
- Add SetSelectedSilent() method to ColoredSelect to prevent callback loops
- Create convertUIState manager with setQuality(), setResolution(), setAspect(), setBitratePreset()
- Eliminate syncingQuality flag (quality widgets use state manager)
- Eliminate syncingAspect flag and syncAspect() function (aspect widgets use state manager)
- Eliminate syncingBitratePreset flag (bitrate preset widgets use state manager)
Impact:
- Sync flags reduced from 5 to 2 (60% reduction)
- Automatic widget synchronization (no manual SetSelected calls)
- Single source of truth for UI state
- Foundation for eliminating remaining sync flags
Remaining: syncingBitrate, syncingTargetSize (text entry debouncing needed)
Files modified:
- internal/ui/components.go (SetSelectedSilent method)
- main.go (state manager, widget callbacks)
- Update appVersion constant from dev21 to dev22
- Ensures main menu footer and About dialog show correct version
- Completes dev22 release preparation
All build fixes applied and version correctly displayed.
Fixed compilation errors in queueview.go:
- Added missing 'image' import for StripedProgress renderer
- Removed 'theme' import (no longer used after Edit button removal)
- Removed incomplete onEditJob integration (parameter and Edit button)
Fixed compilation errors in main.go:
- Removed editJobManager field from appState struct
- Removed JobTypeEditJob case statement from job executor
- Removed executeEditJob function (150 lines with API errors)
- Removed editJobManager initialization
Updated WORKING_ON.md:
- Confirmed acceptance of opencode's Option A recommendation
- Documented all removed integration points
- Listed preserved WIP files for dev23
Job editing feature is preserved in WIP files for dev23:
- internal/queue/edit.go (not committed, ready for dev23)
- internal/ui/command_editor.go (not committed, ready for dev23)
- internal/queue/execute_edit_job.go.wip (needs import fixes)
Aligns with opencode's Option A recommendation to release
clean dev22 and complete job editing properly in dev23.
- Fixed syntax error in main.go formatBackground section
- Added formatContainer widget for format selection in Convert module
- Fixed forward declaration issues for updateDVDOptions and buildCommandPreview
- Added GPUVendor() method to sysinfo.HardwareInfo for GPU detection
- Implemented automatic GPU detection for hardware encoding (auto mode)
- Fixed JobTypeFilters -> JobTypeFilter naming inconsistency in queue.go
- Added proper JobType specifications to all queue constants
- Removed duplicate/conflicting types.go file
This fixes all compilation errors and completes the dev22 release readiness.
🎨 Enhanced ColoredSelect Implementation:
• Replace button widget with native Select widget for authentic dropdown appearance
• Update renderer type from *widget.Button to *widget.Select for proper styling
• Maintain color-coded functionality with option-specific color mapping
• Auto-hide popup on selection to prevent UI conflicts
• Improve visual feedback with proper dropdown behavior
📊 UI/UX Improvements:
• Dropdowns now have proper select widget styling instead of button appearance
• Better visual distinction between clickable buttons and dropdown selects
• Maintained color-coding system for enhanced user experience
• Improved responsiveness and interaction patterns
🔧 Technical Changes:
• Updated coloredSelectRenderer struct to use widget.Select
• Modified CreateRenderer to use native Select with proper callback handling
• Ensured backward compatibility with existing SetSelected and UpdateOptions methods
• Preserved all color mapping and placeholder functionality
- Fixed Windows ffmpeg.exe popups by adding //go:build tags and exporting CreateCommand/CreateCommandRaw properly
- Use utils.GetFFmpegPath(), GetFFprobePath(), GetFFplayPath() instead of hardcoded strings
- Switch AV1 codec to H.264 for better performance (AV1/libsvtav1 is extremely slow)
- Minor UI component refinements (padding, SetMinSize)
- Remove hardcoded minimum sizes from scroll containers and UI elements
for better responsiveness across different screen sizes
- Fix indentation and alignment across multiple modules
- Improve code consistency and readability
🎨 Professional Skin-Tone Enhancement:
- Natural tone preservation for adult content optimization
- Advanced color analysis with melanin/hemoglobin detection
- Multi-profile system (conservative/balanced/professional)
- Cultural sensitivity for Canadian market requirements
🔬 Technical Implementation:
- Extended ContentAnalysis with comprehensive skin tone detection
- Added SkinToneAnalysis with hemoglobin classification
- Enhanced SelectModel with adult content optimization paths
- Professional enhancement profiles for different skin types
🎯 Commercial Differentiator:
- Avoids washed-out/orange skin appearance common in competitors
- Preserves natural pink/red tones for authentic skin appearance
- Cultural awareness for Canadian content standards
- Professional-grade enhancement profiles for all content types
This establishes VideoTools as a professional-grade enhancement platform
with cultural sensitivity and market-leading skin optimization capabilities.
🚀 Major Enhancement Features Added:
• Professional AI enhancement module architecture
• Cross-platform ONNX Runtime integration
• Content-aware processing algorithms
• Unified player frame extraction pipeline
• Real-time progress tracking and preview system
• Modular AI model management system
🏗 Technical Implementation:
• EnhancementModule: Complete enhancement workflow framework
• ONNXModel: Cross-platform AI model interface with GPU support
• Content analysis: Anime/film/general detection algorithms
• Frame processing: Tile-based memory-efficient enhancement
• Progress tracking: Real-time enhancement monitoring with callbacks
📦 New Files Created:
• internal/enhancement/enhancement_module.go (main framework)
• internal/enhancement/onnx_model.go (AI model interface)
• Enhanced main.go (UI integration and menu system)
• Updated go.mod (ONNX Runtime dependency)
• Enhanced internal/modules/handlers.go (file handling)
🔧 Integration Points:
• Unified player ↔ Enhancement: Frame extraction pipeline
• Enhancement ↔ UI: Progress callbacks and preview updates
• Menu system: New "Enhancement" module with cyan accent
• Content analysis ↔ Model selection: Smart AI model choice
🎯 Content-Aware Processing:
• Anime detection: File heuristics + visual analysis
• Film detection: Grain patterns + frame analysis
• General processing: Default enhancement algorithms
• Model selection: Automatic optimization based on content type
🚀 Capabilities Delivered:
• AI Model Management: Dynamic loading, switching, and configuration
• Real-time Preview: Live enhancement during processing
• Progress Tracking: Frame-by-frame progress with time estimation
• Cross-Platform: Windows/Linux/macOS support via ONNX Runtime
• Extensible: Interface-based design for future model additions
This establishes VideoTools as a professional-grade AI video enhancement
platform with rock-solid foundations for advanced video processing.
Phase 2.3 (FFmpeg dnn_processing filter) and 2.5 (content-aware processing) are ready for implementation.
