VideoTools/internal
Stu Leak 27a2eee43d feat: implement Phase 2 AI enhancement module with ONNX framework
🚀 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.
2026-01-02 02:02:55 -05:00
..
app Format cleanup and minor fixes 2025-12-23 21:56:47 -05:00
benchmark feat: implement unified FFmpeg player and fix critical build issues 2026-01-02 01:02:07 -05:00
convert Format cleanup and minor fixes 2025-12-23 21:56:47 -05:00
enhancement feat: implement Phase 2 AI enhancement module with ONNX framework 2026-01-02 02:02:55 -05:00
interlace Format cleanup and minor fixes 2025-12-23 21:56:47 -05:00
logging feat: implement Phase 2 AI enhancement module with ONNX framework 2026-01-02 02:02:55 -05:00
metadata Add queue error copy, auto naming helper, and metadata templating 2025-12-07 12:03:21 -05:00
modules feat: implement Phase 2 AI enhancement module with ONNX framework 2026-01-02 02:02:55 -05:00
player feat: implement unified FFmpeg player and fix critical build issues 2026-01-02 01:02:07 -05:00
queue feat(logging): Add panic recovery and error logging for UI crashes 2025-12-31 18:00:34 -05:00
sysinfo fix(windows): Hide command windows in hardware detection and fix GPU detection 2025-12-28 19:32:15 -05:00
thumbnail Import json/strconv for thumbnail ffprobe parsing 2025-12-17 19:09:43 -05:00
ui feat: implement unified FFmpeg player and fix critical build issues 2026-01-02 01:02:07 -05:00
utils feat: implement unified FFmpeg player and fix critical build issues 2026-01-02 01:02:07 -05:00