Open Source C++ Computer Vision Libraries - Page 3

The OpenSUSE Augmented Reality (OSAR) distribution is the first GNU / Linux appliance created for the exclusive development of applications with augmented reality technology and games with computer vision.

A collection of user contributed applications which use the Open Computer Vision Library

OpenCV-AR is a software library used for Augmented Reality development. It is targeted on Linux, though it is also able to work on Windows platform. It is an alternative to ARToolKit for Augmented Reality application development.

PyCV is a Python package of modules useful for computer vision tasks. Its current focus is on boosting techniques, Haar-like features, and face detection. PyCV provides the world's fastest method for training a face detector, in a few hours.

General C++ Library, with modules for Computer Vision, Pattern Recognition and much more.

Facis is a computer vision project based on OpenCV. It enables face detection and identification.

RoboRealm Extensions are plugins to the RoboRealm application that allow you to extend RoboRealm in whatever way you need. RoboRealm is a powerful computer vision based application for use in machine vision, image analysis, and image processing systems.

This was my first big programming project. I'd like to clean it up and improve the back end design when time permits. See the wiki for known issues and more information. A computer vision program for analysis of magnetic data collected by a scanning probe microscope. Originated in summer 2007 as a collection of C compiled for Matlab (MEX) files and was eventually ported to a standalone C++ application with a GUI created in Qt. This program takes atomic and magnetic force microscope (AFM/MFM) image pairs as input and uses threshold segmentation to identify magnetic nanodots by intensity in the AFM image. These are then used to assess the magnetic states of those dots in the MFM image Attribution: "C++ GUI Programming with Qt 4" by Blanchette and Summerfield was helpful in getting me started on the GUI.

Savant is an open-source, high-level framework for building real-time, streaming, highly efficient multimedia AI applications on the Nvidia stack. It helps to develop dynamic, fault-tolerant inference pipelines that utilize the best Nvidia approaches for data center and edge accelerators. Savant is built on DeepStream and provides a high-level abstraction layer for building inference pipelines. It is designed to be easy to use, flexible, and scalable. It is a great choice for building smart CV and video analytics applications for cities, retail, manufacturing, and more.

Computer Vision Application.

A software to implement the existing stereo matching algorithms in computer vision, including the easiest SSD, and the newest algorithms.

C++ library that implements basic data structures and algorithms for computer vision and image processing applications

Travis contains several algorithms for computer vision in robotics. There are tracking, motion detection and reactive navigation functions.

A library and associated tools for building and searching with Active Shape Models (ASM). It builds on the VXL computer vision libraries. Includes a GUI tool to search new images with the ASM. Depends on: VXL, Qt (Version 4), UoMqVXL

Qt based GUI classes for VXL from the University of Manchester. Includes libraries to display VXL images and graphics, including shape model manipulation. Also includes tools to display images and points, and to annotate images with points.

ViKi (Virtual Interactive keyboard Interface) is a global framework that enables contactless human machine interaction using computer vision techniques. Only a simple webcam is sufficient to emulate traditional devices such as mouse and keyboard do.

The Vision Analysis Toolkit provides a framework for the development of computer vision algorithms using arbitrary named channel containers, flexible data types, and 1/2/3-D buffers.

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.

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.

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.

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.

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