Open Source Computer Vision Libraries - Page 10

A C# library for use in image processing and computer vision research.

The webcam computer vision (WCCV) project focuses on computer vision algorithms and systems that follow the web cam paradigm: cheap, robust and efficient. The project comprises designs, patterns, code, tutorials and examples.

This is a ROS package developed for object detection in camera images. You only look once (YOLO) is a state-of-the-art, real-time object detection system. In the following ROS package, you are able to use YOLO (V3) on GPU and CPU. The pre-trained model of the convolutional neural network is able to detect pre-trained classes including the data set from VOC and COCO, or you can also create a network with your own detection objects. The YOLO packages have been tested under ROS Noetic and Ubuntu 20.04. We also provide branches that work under ROS Melodic, ROS Foxy and ROS2. Darknet on the CPU is fast (approximately 1.5 seconds on an Intel Core i7-6700HQ CPU @ 2.60GHz × 8) but it's like 500 times faster on GPU! You'll have to have an Nvidia GPU and you'll have to install CUDA. The CMakeLists.txt file automatically detects if you have CUDA installed or not. CUDA is a parallel computing platform and application programming interface (API) model created by Nvidia.

An object oriented ray tracer and image manipulation library. Also comprises ZRVision, a computer vision support library and several example apps illustrating what can be done with ZeroRay.

Various datasets from my computer vision research primarily useful for lane detection and visual servoing algorithms.

Just some datasets I have used for computer vision research that others may or may not be interested in

OpenCV samples for a computer vision class

cv.jit is a collection of max/msp/jitter externals, abstractions and help files for computer vision applications.

Its main purpose is to help with the computer vision software design, developement and testing. By using a graphical diagram editor that defines analysis flow, different algorithm combinations can be tried, with different parameters, very quickly and with no coding.

In this project, we try to build a computer vision library for embedded system like ARM9.

eye-pointer is a set of libraries and programs for computer vision, especially for locating the spot on the screen you're looking at. The ultimate goal is to incorporate that facility into a pointer (mouse) driver.

fastai is a deep learning library which provides practitioners with high-level components that can quickly and easily provide state-of-the-art results in standard deep learning domains, and provides researchers with low-level components that can be mixed and matched to build new approaches. It aims to do both things without substantial compromises in ease of use, flexibility, or performance. This is possible thanks to a carefully layered architecture, which expresses common underlying patterns of many deep learning and data processing techniques in terms of decoupled abstractions. These abstractions can be expressed concisely and clearly by leveraging the dynamism of the underlying Python language and the flexibility of the PyTorch library. fastai is organized around two main design goals: to be approachable and rapidly productive, while also being deeply hackable and configurable. It is built on top of a hierarchy of lower-level APIs which provide composable building blocks.

The free-vision project aims at creating a library for computer vision related functions, including camera capture interface, stereo, image processing, camera calibration and so on.

The IJBlob library indentifying connected components in binary images. The algorithm used for connected component labeling is: Chang, F. (2004). A linear-time component-labeling algorithm using contour tracing technique. Computer Vision and Image Understanding, 93(2), 206–220. doi:10.1016/j.cviu.2003.09.002 The ImageJ *Shape Filter Plugin* (see downloads) uses this library for flitering the blobs by its shape. If you are using IJBlob in a scientific publication, please cite: Wagner, T and Lipinski, H 2013. IJBlob: An ImageJ Library for Connected Component Analysis and Shape Analysis. Journal of Open Research Software 1(1):e6, DOI: http://dx.doi.org/10.5334/jors.ae

IPA library is a platform developed for image processing and analysis. It composed by a lot of class of algorithms and functions with loose coupling, which can help users to develop professional applications of image processing or computer vision rapidly

Computer Vision Project - Search Part

A Computer Vision Library in Java

library for rapid development of video processing, computer vision, and computer graphics algorithms

mVision library is a set of functions related with computer vision programmed in Matlab. Also include a couple of GUIs for test visually the functions.

Mask R-CNN Benchmark is a PyTorch-based framework that provides high-performance implementations of object detection, instance segmentation, and keypoint detection models. Originally built to benchmark Mask R-CNN and related models, it offers a clean, modular design to train and evaluate detection systems efficiently on standard datasets like COCO. The framework integrates critical components—region proposal networks (RPNs), RoIAlign layers, mask heads, and backbone architectures such as ResNet and FPN—optimized for both accuracy and speed. It supports multi-GPU distributed training, mixed precision, and custom data loaders for new datasets. Built as a reference implementation, it became a foundation for the next-generation Detectron2, yet remains widely used for research needing a stable, reproducible environment. Visualization tools, model zoo checkpoints, and benchmark scripts make it easy to replicate state-of-the-art results or fine-tune models for custom tasks.

The purpose of this system is to design an old man monitoring system based on the computer vision.Thanks to the computer vision,the devices get the information of the elderly people’s activities, analysis the information,and send a warning message to the sons or daughters of the elderly immediately if the elderly have an accident.Therefore,the system can win more valuable time for the doctor to save the elderly's life when the elderly have an accident,thereby reducing emergency threat to the elderly.

Nagios is a plugin designed to send alerts based on the identification of objects or faces your server using computer vision and a simple webcam.

proGPUKLT is a library for the Processing programming language and environment that wraps a GPU-implementation of the Kanade-Lucas-Tomasi feature tracker used for computer vision applications.