FIXXER ✞ v1.0 - "CHAOS PATCHED // LOGIC INJECTED
🎯 FIXXER v1.0 - Professional Photography Workflow Automation
Evolved from photosort to FIXXER ✞ PRO
A major upgrade bringing professional-grade features, cryptographic integrity verification, and dual UI modes for serious photographers who demand both speed and safety in their digital asset management.
✨ What's New in v1.0
🔐 Hash-Verified File Operations
- SHA256 integrity checking on every file move operation
- Halt-on-mismatch protection prevents silent corruption
- JSON sidecar files (
.fixxer.json) create permanent audit trails - Production-tested: 120+ files, zero corruption events
🎨 Pro Mode - "Phantom Redline"
- Toggle with F12 for tactical precision dashboard
- Milestone HUD with real-time workflow stats (BURSTS, TIER A/B/C, HEROES, ARCHIVED, TIME)
- Redline sparklines for system monitoring (RAM/CPU)
- Minimal, professional aesthetic for focused work
📷 120+ RAW Format Support
- Python-native RAW processing via
rawpy(no external dependencies) - Cross-platform: Linux, macOS, Windows
- Supports: RW2, CR2, CR3, NEF, ARW, DNG, RAF, ORF, PEF, SRW, and 100+ more
- Zero temp files - pure in-memory processing
🤖 AI Vision Integration
- Ollama-powered naming (qwen2.5vl, llava, bakllava)
- Semantic burst detection using CLIP embeddings
- AI session naming from visual analysis
- Creative critique mode for artistic feedback
📊 Quality Analysis Pipeline
- BRISQUE quality scoring for sharpness assessment
- Exposure analysis (crushed blacks, blown highlights)
- Automated culling into Tier A/B/C folders
- Smart burst grouping based on visual similarity, not timestamps
🔧 Bug Fixes & Improvements
Fixed:
- ✅ Unicode corruption in
photosort_engine.py(emojis/symbols now render correctly) - ✅ Pro Mode logo display in TUI
- ✅ Cross-platform RAW file handling (replaced macOS-only
sips) - ✅ Thread safety in logging and progress updates
Improved:
- ✅ Professional README with architecture diagrams
- ✅ Modern Python packaging (
pyproject.toml) - ✅ Comprehensive dependency documentation
- ✅ Smart
.gitignore(protects user photos and config)
📦 Installation
Requirements:
- Python 3.10+
- Ollama (for AI vision features)
Quick Start:
# Clone the repository
git clone https://github.com/BandwagonVibes/fixxer.git
cd fixxer
# Create virtual environment
python3 -m venv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
# Install dependencies
pip install -r requirements.txt
# Pull an AI vision model
ollama pull qwen2.5vl:3b
# Launch FIXXER
python3 photosort_tui_styled.py📚 Documentation
- README.md - Complete feature guide
- requirements.txt - Dependencies with platform notes
- Configuration - Stored in
~/.photosort.conf
🎯 Workflows Included
| Workflow | Description |
|---|---|
| Auto | Complete pipeline: burst stack → cull → AI name → archive |
| Bursts | CLIP-based semantic grouping + AI naming of best picks |
| Cull | Quality analysis → Tier A/B/C sorting |
| Stats | EXIF insights (cameras, lenses, lighting conditions) |
| Critique | AI creative feedback (composition, mood, suggestions) |
| Easy Archive | Simple AI naming + keyword folders (no culling) |
🔒 Security & Integrity
Every file operation is protected by:
- SHA256 hash calculation before move
- SHA256 hash verification after move
- Automatic sidecar file generation (
.fixxer.json) - Workflow halts on corruption detection (RuntimeError)
Example sidecar file:
{
"fixxer_version": "1.0",
"filename": "golden-hour-cityscape.jpg",
"sha256_source": "a1b2c3d4...",
"verified": true,
"timestamp": "2024-11-20T14:35:22.123456"
}🎨 UI Modes
Toggle between two aesthetics with F12:
Standard Mode (Warez):
- Red/white/black color scheme
- ASCII art branding
- Motivational progress phrases
- High-contrast buttons
Pro Mode (Phantom Redline):
- Tactical black aesthetic
- Clean typography
- Real-time HUD dashboard
- Minimal, professional design
🙏 Acknowledgments
Built with:
- Ollama - Local LLM inference
- rawpy / LibRaw - RAW processing
- Textual - Modern TUI framework
- OpenAI CLIP - Semantic burst detection
- BRISQUE - Image quality assessment
📄 License
MIT License - See LICENSE for details.
🚀 What's Next
Future roadmap considerations:
- Native Windows support (non-WSL)
- GPU acceleration for CLIP embeddings
- Lightroom Classic plugin integration
- Additional AI vision models
- Batch processing optimizations
Built with precision. Secured with cryptography. Powered by AI.
✞ FIXXER PRO - From chaos to order, one hash at a time.