Commit Graph

5 Commits

Author SHA1 Message Date
Stu Leak
7ce796e0e6 fix: resolve build errors by removing partial job editing integration
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.
2026-01-03 13:53:31 -05:00
Stu Leak
c388787211 chore: release v0.1.0-dev22
Version bump to v0.1.0-dev22 (Build 21) with comprehensive CHANGELOG update.

Features:
- Automatic GPU detection for hardware encoding (auto-selects nvenc/amf/qsv)
- SVT-AV1 speed preset mapping (prevents 80+ hour encodes)
- UI splitter fluidity improvements
- Windows FFmpeg popup suppression
- Format selector widget

Fixes:
- Restored proper AV1 encoding support
- JobType constant consistency (JobTypeFilter)
- Build errors resolved (formatContainer, forward declarations)
- Git remote corrected to git.leaktechnologies.dev

Coordination:
- Updated WORKING_ON.md with dev22 status
- Documented opencode's WIP job editing feature for dev23
- Moved execute_edit_job.go.wip out of build path
2026-01-03 13:34:17 -05:00
Stu Leak
8556244821 docs: add coordination request for opencode re: job editing feature
Added detailed analysis of uncommitted job editing work and coordination
request asking opencode to choose between:
- Option A: Commit refactor only, hold editing for dev23 (recommended)
- Option B: Commit all as WIP with feature flags
- Option C: Hold everything for dev23

This ensures we coordinate on dev22 feature freeze and proper integration.
2026-01-03 13:27:40 -05:00
Stu Leak
5d64b6280e docs: update WORKING_ON - remove Gemini, document dev22 completion
- Removed Gemini from active rotation
- Updated with Claude (thisagent) and opencode as active agents
- Documented all dev22 fixes and features
- Marked build status as PASSING
- Ready for dev22 release and dev23 planning
2026-01-03 13:18:12 -05:00
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