MatUnCNN

Android native image upscaler powered by ncnn. Uses AI models to upscale images with high quality on-device, with Vulkan GPU acceleration.

Forked from Tumuyan/RealSR-NCNN-Android — rewritten in Kotlin with Jetpack Compose (Material 3), dynamic model downloading, result caching, and several stability improvements.

Features <<<<<<< HEAD

AI Image Upscaling — select from multiple ncnn models (Real-ESRGAN, RealSR, etc.) Vulkan GPU Acceleration — automatic Vulkan detection; falls back to CPU gracefully Progress Tracking — real-time ETA and percentage parsed from ncnn stdout Output Preview — pinch-to-zoom viewer with image metadata; save or share the result ======= AI Image Upscaling — select from multiple ncnn models (Real-ESRGAN, etc.) Vulkan GPU Acceleration — automatic Vulkan detection; falls back gracefully Background Processing — foreground service keeps upscaling running while the app is in the background Batch Processing — upscale multiple images in one run Progress Tracking — real-time percentage, elapsed time and ETA from ncnn stdout Before/After Compare — slider to compare the original and upscaled image inline Output Preview — view and compare inline; save or share the result f7dabff (i forgot, what this was about)

Result Caching — in-memory LRU cache avoids redundant processing Noexec Bypass — runs binaries on noexec-mounted filesystems via /proc/self/fd Dynamic Asset Download — model .bin/.param files fetched from GitHub Releases on first launch Debug Log — 500-entry ring buffer with copy-to-clipboard and file save Customizable — tile size, thread count, save format/name, notification mode, custom command arguments Material 3 UI — dark theme, bottom navigation, scrollable settings