VeloCV

veloCV: Open-Source Computer Vision Software

An open-source software for building computer vision applications, providing simple yet powerful tools for image and video capture, annotation, processing, analysis and visualization in Python.

What is VeloCV?

veloCV is an open-source Python library for computer vision and machine learning applications. It provides a simple, consistent, and easy-to-use interface to common computer vision tasks and workflows.

Some key capabilities and features of veloCV include:

• Image and video capture from cameras and files
• Tools for labeling, annotating, and augmenting image data
• Pre-trained models for classification, object detection, segmentation, and more
• Trainable machine learning models such as convolutional neural networks
• High-performance primitives for tracking, matching, filtering, transforming images
• Visualization, debugging, and profiling tools
• Cross-platform support for Linux, Windows, macOS, and more

The goal of veloCV is to accelerate computer vision application development by providing well-tested building blocks that handle common low-level tasks. It abstracts away unnecessary complexity while still giving full control when needed.

Key users of veloCV include students learning computer vision, researchers prototyping ideas, and engineers building real-world applications. Example applications include inspection automation, robotics, augmented reality, and more.

VeloCV Features

Official Links