Open-source alternatives to Pyvips

The ctypes-based simple ImageMagick binding for Python

Pillow is a Python image processing library and digital image manipulation toolkit used for opening, manipulating, and saving various image file formats. It serves as a multi-format image codec wrapper that enables the reading and writing of diverse standards such as JPEG, PNG, TIFF, and BMP. The library provides tools for programmatic image manipulation, including resizing, cropping, rotating, and transforming visual content through direct pixel data modification. It supports pixel data analysis to extract and modify raw information for custom visual processing and data transformations. The

This is an interactive notebook-based course that teaches machine learning from Python fundamentals through deep learning and natural language processing. It uses real datasets and multiple frameworks within a structured, hands-on curriculum that combines concise explanations with executable code cells, built-in datasets, and embedded exercise checkpoints. Learning progresses through data preparation and exploration, classical machine learning workflows, computer vision with convolutional neural networks, and natural language processing with deep learning, all delivered as a cohesive progressi

This project is a comprehensive pandas data analysis tutorial and instructional guide designed for learning data manipulation and analysis. It serves as a tabular data processing guide and a manual for time series analysis, providing a structured approach to cleaning, merging, and transforming datasets. The repository functions as a data feature engineering course, providing tutorials on constructing and selecting dataset features to improve machine learning model performance. It also includes a vectorized data operations guide for performing element-wise mathematical computations and matrix

A snappy image viewer with zoom and interactive dismissal transition.

Go Language Library for SVG generation

AlamofireImage is an image downloading and caching library designed as an extension for Alamofire. It provides a serialization framework to convert network responses into image objects and a memory-based caching system to reduce redundant network requests. The project features a variant-aware asynchronous cache that stores both original images and their filtered versions separately. It includes tools for animating the replacement of placeholder images with downloaded content through various transition effects. The library covers image acquisition through parallel downloading and prioritized

Build fully-functioning computer vision models with PyTorch

PhotoFlow

Full aspect ratio grid layout for iOS

An iOS/tvOS photo gallery viewer, useful for viewing a large (or small!) number of photos.

Darknet is a high-performance C-based inference engine and computer vision library designed for real-time object identification and localization. It serves as a neural network framework for training and deploying detection models using the YOLO architecture, providing a toolset for deep learning training and deployment. The project differentiates itself through a C and CUDA implementation that enables hardware acceleration for matrix multiplication and inference speed optimization. It provides a shared library interface for embedding detection capabilities into external applications and suppo

High performance GIF engine

An all-in-one toolkit for computer vision

3D Computer Vision Framework

Meshroom is a node-based photogrammetry software designed to transform collections of two-dimensional images into three-dimensional models and scene geometry. It provides a visual interface for constructing and managing modular data pipelines, allowing users to automate complex computer vision tasks such as feature extraction, depth map estimation, and mesh generation. The software distinguishes itself through a distributed computational framework that dispatches resource-intensive tasks across local hardware or remote render farms. By utilizing a directed acyclic graph execution model, it en

FLAME (Fire Luminosity Airborne-based Machine learning Evaluation) Dataset

Image slide-show viewer with multiple predefined transition styles, with ability to create new transitions with ease.

Ken Burns effect with face recognition!

This is a PyTorch object detection framework that implements the Single Shot MultiBox Detector for identifying and localizing multiple objects within images and video. The project provides a neural network architecture designed for single-shot object detection, which predicts bounding boxes and class labels in one pass. The implementation includes a real-time object detector capable of processing live video streams to track and label objects across sequential frames. It also features a complete computer vision training pipeline for preparing image datasets and training model weights. The fra

A tool to convert a Wallpaper's color scheme / palette, OCR with VLM's Traditional & Hybrid, Image Compression ,color palette extraction, image upsacling with Adversarial Networks and more image processing features.