An open source alternative to the popular photo AI editor.
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Updated
Nov 14, 2026 - Rust
An open source alternative to the popular photo AI editor.
Implementation of Basic Digital Image Processing Tasks in Python / OpenCV
Enhance an image taken under water using color balance and fusion
Advanced image processing nodes for ComfyUI with DeepInv, BM3D, wavelet denoising, and more
Tools and techniques (Matlab/C) for low-level image processing
Digital Sharpening Guide — M5StickC Plus firmware that gives live angle feedback and stroke counting while sharpening knives
Universal DirectX 11 Frame Generation & Upscaling solution implementation from scratch. Features Optical Flow (Block Matching, Farneback, DIS), Frame Interpolation, and RCAS integration.
Django application to boost the resolutions of images for easy image visibility and clear images
Fusing data from the ESA Copernicus Programme's Sentinel missions.
Image manipulation with OpenCV and NumPy
A script that compresses and makes diferent sizes of all images in child directories
A tool to adjust the height of a support bar of a sharpening machine to archive a given sharpening angle. Typical machines are Torweg T-4 and T8 machines but the tool supports custom machines as well
An open-source Windows magnifier that makes live video bigger and clearer for visually impaired. Faster on NVIDIA GPUs.
C++ implementation for common image processing filters.
Batch executable for transcoding GLSL shader–upscaled video to disk
Implementation of computer vision algorithms and image processing using Numpy & OpenCV
FrameInterp(硬件插帧播放)· Mac 插帧播放器 / 补帧播放器 / 视频画质增强 —— SVP4 Pro 的原生替代。Apple Silicon 神经引擎(ANE)硬件实时插帧:24/30fps 补成 60/96fps,CPU 仅 0.12 核;1.4 起再加一层几乎不吃 CPU 的 GPU 放大+锐化。原生 arm64,不走 Rosetta。Native macOS real-time frame interpolation + GPU quality enhancement player, the SVP4 Pro alternative for Apple Silicon, powered by Apple Neural Engine.
Disables the sharpening in the ms2130 firmware taken from a Hagibis USB HDMI capture dongle.
Face Mask Detection.
Interactive Colab dashboard for spatial filtering in image processing. Implements smoothing filters (Mean, Median, Mode) and sharpening filters (Sobel, Laplacian, Sobel+Laplacian). Demonstrates noise reduction, edge detection, and detail enhancement with visual comparisons for real-world computer vision tasks.
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