- New option: "❌ No Upscaling" - keeps original icon size, just centers on canvas
- Useful when you want the icon at original resolution on a larger canvas
- Tooltip updated to explain all options
- When "none" is selected, upscale parameter becomes False
- New module: modules/ai_upscaler.py
- Real-ESRGAN integration for AI-powered upscaling
- Designed specifically for low-res game textures/icons
- 4x upscale factor with neural network enhancement
- Falls back gracefully if model not available
- Updated TGA Converter UI:
- New "AI Enhanced (Real-ESRGAN)" option in upscale dropdown
- Only shown if Real-ESRGAN is installed
- AI upscaling happens before canvas placement
- Shows progress during AI model loading
Real-ESRGAN is much better than basic methods for rendered (non-pixel) icons!
To use AI upscaling:
1. pip install torch torchvision --index-url https://download.pytorch.org/whl/cpu
2. pip install realesrgan
3. Download RealESRGAN_x4plus.pth model
4. Select "AI Enhanced" in the UI
- NEAREST: Sharp pixel edges (best for clean pixel art)
- HQ4x-style: Integer scale first, then smooth to target with edge enhancement
- LANCZOS: Very smooth (best for photorealistic textures)
- Added upscale method selector to UI
- Each method uses UnsharpMask for enhanced crispness
- Removed WebP support (PNG only now)
- Added canvas size selector: Original, 64x64, 128x128, 256x256, 280x280, 320x320, 512x512
- Icons are centered on transparent canvas
- Added 'Upscale small icons' checkbox to scale up small icons to better fill canvas
- Uses high-quality Lanczos resampling for upscaling
- Default canvas size: 320x320
- Updated TGAConverter.convert_tga_to_png() to support 'webp' format
- High quality WebP encoding (quality=95, method=6)
- Added format selector in UI (PNG or WebP)
- Convert button text updates based on selected format
- WebP is better for web uploads: smaller files, better quality
WebP advantages:
- 25-35% smaller file size than PNG
- Better quality at same file size
- Alpha channel support
- Widely supported in modern browsers
- Worker now accepts cache_path parameter
- _start_conversion passes the selected path to worker
- Fixes 'Cache folder not found' error during conversion
- New module: modules/tga_converter.py
- Reads Truevision TGA format from game cache
- Converts to PNG with proper color handling (BGR->RGB)
- Auto-detects cache folder location
- Batch conversion support
- Handles alpha channels
- New dialog: ui/tga_converter_dialog.py
- Visual interface for TGA conversion
- Shows list of cached .tga files
- Progress tracking during conversion
- One-click convert all
- Added to Tools → Computer Vision → TGA Icon Converter (Ctrl+T)
This is much more efficient than extracting icons from screenshots!
The game already has the icons in cache as .tga files.
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