4.1 KiB
VideoTools Roadmap
This roadmap is intentionally lightweight. It captures the next few high-priority goals without locking the project into a rigid plan.
How We Use This
- The roadmap is a short list, not a full backlog.
- Items can move between buckets as priorities change.
- We update this at the start of each dev cycle.
Current State
- dev21 focused on stylistic filters and enhancement module planning.
- Filters module now includes decade-based authentic effects (8mm, 16mm, B&W Film, Silent Film, VHS, Webcam).
- Player stability identified as critical blocker for enhancement development.
- dev23 delivered UI cleanup (dropdown styling, settings panel polish, about/support layout).
Now (dev24 focus)
-
Rock-solid video player implementation - CRITICAL PRIORITY
- Fix fundamental A/V synchronization issues
- Implement frame-accurate seeking without restarts
- Add hardware acceleration (CUDA/VA-API/VideoToolbox)
- Integrate chapter detection from Author module
- Build foundation for frame extraction and keyframing
- Eliminate seeking glitches and desync issues
-
Enhancement module foundation - DEPENDS ON PLAYER
- Unified Filters + Upscale workflow
- Content-type aware processing (general/anime/film)
- AI model management system (extensible for future models)
- Multi-pass processing pipeline
- Before/after preview system
- Real-time enhancement feedback
Next (dev25+)
-
Enhancement module completion - DEPENDS ON PLAYER
- Open-source AI model integration (BasicVSR, RIFE, RealCUGan)
- Model registry system for easy addition of new models
- Content-aware model selection
- Advanced restoration (SVFR, SeedVR2, diffusion-based)
- Quality-aware enhancement strategies
-
Trim module with timeline interface - DEPENDS ON PLAYER
- Frame-accurate trimming and cutting
- Manual chapter support with keyframing
- Visual timeline with chapter markers
- Preview-based trimming with exact frame selection
- Import chapter detection from Author module
-
Professional workflow integration
- Seamless module communication (Player ↔ Enhancement ↔ Trim)
- Batch enhancement processing through queue
- Cross-platform frame extraction
- Hardware-accelerated enhancement pipeline
Later
-
Advanced AI features
- AI-powered scene detection
- Intelligent upscaling model selection
- Temporal consistency algorithms
- Custom model training framework
- Cloud processing options
-
Module expansion
- Audio enhancement and restoration
- Subtitle processing and burning
- Multi-track management
- Advanced metadata editing
Versioning Note
We keep continuous dev numbering. After v0.1.1 release, the next dev tag becomes v0.1.1-dev22 (or whatever the next number is).
Technical Debt and Architecture
Player Module Critical Issues Identified
The current video player has fundamental architectural problems preventing stable playback:
- Separate A/V Processes - No synchronization, guaranteed drift
- Command-Line Interface Limitations - VLC/MPV controllers use basic CLI, not proper IPC
- Frame-Accurate Seeking - Seeking restarts processes with full re-decoding
- No Frame Extraction - Critical for enhancement and chapter functionality
- Poor Buffer Management - Small audio buffers cause stuttering
- No Hardware Acceleration - Software decoding causes high CPU usage
Proposed Go-Based Solution
Unified FFmpeg Player Architecture:
- Single FFmpeg process with multiplexed A/V output
- Proper PTS-based synchronization with drift correction
- Frame buffer pooling and memory management
- Hardware acceleration through FFmpeg's native support
- Frame extraction via pipe without restarts
Key Implementation Strategies:
- Ring buffers for audio/video to eliminate stuttering
- Master clock reference for A/V sync
- Adaptive frame timing with drift correction
- Zero-copy frame operations where possible
- Hardware backend detection and utilization
This player enhancement is the foundation requirement for all advanced features including enhancement module and all other features that depend on reliable video playback.