A Python project that provides a uniform interface to neuroimaging software, allowing users to combine tools from different packages into single, reproducible workflows.

Pycortex is a software library for visualizing fMRI and other volumetric neuroimaging data on cortical surfaces.

A pure Python module for processing, visualizing, and classifying hyperspectral image data from imaging spectroscopy.

A Python framework for the scalable organization and processing of SAR satellite data from various missions and software tools.

A tool for processing Whole Slide Images (WSIs) in digital pathology, providing automatic tissue detection and informative tile extraction for deep learning pipelines.

A high-performance library for Connected Component Labeling in 3D multilabel and grayscale images, designed to accelerate instance segmentation analysis in biomedical imaging.

Elixir bindings for OpenCV that provide automated generation of computer vision tools for Elixir applications, including support for CUDA and embedded systems.

MRtrix3 is a medical imaging software package providing tools for the processing and visualization of MRI data.

A framework and prototype system for adapting Ground Penetrating Radar (GPR) subsurface diagnosis classifiers to new geographical areas using LLM-generated environmental knowledge.

A Python package for normalizing the intensities of MR images across scanners and sites to prevent acquisition artifacts from breaking machine learning pipelines.

A sensor-agnostic Python library for reading, loading, and stacking bands from various optical and SAR satellite constellations.

A Python library for reading, writing, and processing complex Synthetic Aperture Radar (SAR) data, specifically supporting NGA standards and various commercial SLC formats.

A command-line tool and C library that detects upscaling in images and videos to identify their original source resolution using frequency domain analysis.

A Python library for probabilistic precipitation nowcasting that uses optical flow and stochastic generators to create short-term ensemble prediction systems.

A lightweight 3D visualization library designed for rapid prototyping of point-cloud algorithms with integrated UI tools.

An open-source library for processing high-resolution remote sensing images, capable of handling terabyte-scale optical, multispectral, and radar data.

mrcal is a generic toolkit for solving camera calibration and Structure-from-Motion problems, providing C and Python libraries and command-line tools.

An iOS example project that uses OpenCV to stitch images into panoramas, demonstrating modern Swift/C++ interoperability.

A scalable toolkit for the analysis and visualization of spatial molecular data and tissue microscopy images.

A generic and robust calibration toolbox for multi-camera systems that supports both perspective and fisheye lenses in hybrid configurations.

A high-quality ellipse detection algorithm for real-world images, offering high localization accuracy and efficiency for applications like robot vision and PCB inspection.

A visual automation bot for the QQ Classic Farm game that uses OpenCV template matching to automate farming, seed management, and social interactions.

An Android integration example for Faceunity's Face AR SDK, demonstrating real-time face tracking, beauty filters, and AR effects.

An iOS integration example demonstrating the use of Faceunity's Nama SDK for real-time face AR, beautification, and motion tracking.

A Python library for evaluating multiple object tracking results using standard metrics like MOTA, MOTP, IDF1, and HOTA.

A lightweight JavaScript library that brings computer vision algorithms like color tracking and face detection directly into the browser.

A Python wrapper for the Tesseract OCR API that enables efficient text extraction from images with support for concurrent execution and Pillow integration.

A 3D body and skeletal tracking library that provides a unified API for various depth sensors across multiple platforms, enabling human-centric spatial understanding.

An end-to-end, distributed Structure-from-Motion pipeline based on GTSAM and Dask that reconstructs 3D scenes from 2D images with native parallel computation support.

A ROS interface stack that bridges the Point Cloud Library (PCL) with ROS for 3D geometry processing and n-D point cloud handling.

A Python package that simplifies using Amazon Textract to extract text, tables, forms, and identity data from documents.

A modular framework for fate mapping in single-cell data that uses Markov state modeling to estimate cellular dynamics and differentiation probabilities.

Python bindings for the depthai-core C++ library, allowing developers to build AI and computer vision applications for Luxonis hardware using Python.

A computer vision program that uses two webcams to calibrate stereo vision and measure the distance to objects using disparity maps and regression.

A Python-based analysis kit for neuroscience research, focusing on the processing and analysis of functional Magnetic Resonance Imaging (fMRI) data.

A niche computer vision toolkit providing utilities for 3D vision, torch-native mesh handling, and pre-built PyTorch neural network blocks.

OSSIM is an open-source C++ geospatial image processing library that provides tools for orthorectification, reprojection, and analysis of geospatial imagery.

A local vision-based monitoring system that detects 3D print failures in real-time to automatically pause printers and alert users, avoiding wasted filament.

An Obsidian plugin that enables text search within images and PDFs by using local OCR engines like Tesseract.

A word-level English curved text dataset and evaluation framework for improving the detection of arbitrary-shaped text in natural scene images.

gmft is a lightweight, high-performance PDF table extraction tool that uses Microsoft's Table Transformer to convert PDF tables into structured formats like Pandas dataframes.

An open-source framework for high-performance medical image processing, neural network inference, and real-time visualization using CPUs and GPUs.

A comprehensive iOS SDK for secure identification document scanning, offering automated data extraction from IDs and passports with an optional ready-to-use UI.

An open-source face recognition library using deep neural networks to identify people from images and real-time video streams.

An Android library for intelligent image cropping and perspective correction of documents, ID cards, and business cards using OpenCV and TensorFlow.

A differentiable rendering framework that extracts triangular 3D models, materials, and lighting from multi-view images through joint optimization.

A PyTorch library for visualizing class activation maps (CAM) to explain and debug the predictions of convolutional and transformer-based vision models.

A Python library for ensembling bounding box predictions from multiple object detection models using methods like Weighted Boxes Fusion (WBF) and NMS.