mirror of
https://github.com/snapotter-hq/SnapOtter.git
synced 2026-08-03 07:46:42 +02:00
Add comprehensive photo restoration tool that chains multiple AI models: - Scratch/tear/spot detection via morphological analysis (top-hat/black-hat transforms) - Damage inpainting via LaMa ONNX model (reuses existing infrastructure) - Face enhancement via CodeFormer ONNX (~377MB, from facefusion/models-3.0.0) - Noise reduction via OpenCV NLMeans in LAB color space - Optional B&W auto-colorization via DDColor (reuses existing model) Settings: 3 restoration modes (Light/Auto/Heavy), individual feature toggles for scratch removal, face enhancement (with fidelity slider), denoising (with strength slider), and auto-colorize. Before/after comparison view. Handles HEIC, HEIF, and all standard formats. Batch processing supported. No new Python dependencies - reuses onnxruntime, cv2, mediapipe, PIL. Co-authored-by: stirling-image <stirling-image@users.noreply.github.com>