Computer Vision

Create image processing, object detection and face recognition apps by leveraging the power of machine learning and deep learning with OpenCV 4 and Qt 5

A practical guide designed to get you from basics to current state of art in computer vision systems.

Get savvy with OpenCV and actualize cool computer vision applications

Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3

Develop vision-aware and intelligent Android applications with the robust OpenCV library

Turn futuristic ideas about computer vision and machine learning into demonstrations that are both functional and entertaining

Discover interesting recipes to help you understand the concepts of object detection, image processing, and facial detection

Learn the techniques for object recognition, 3D reconstruction, stereo imaging, and other computer vision applications using examples on different functions of OpenCV.

Recipe-based approach to tackle the most common problems in Computer Vision by leveraging the functionality of OpenCV using Python APIs

Recipes to help you build computer vision applications that make the most of the popular C++ library OpenCV 3

Expand your knowledge of computer vision by building amazing projects with OpenCV 3

Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.

Work on practical computer vision projects covering advanced object detector techniques and modern deep learning and machine learning algorithms

Practical Computer Vision Projects

A practical guide to understanding the core machine learning and deep learning algorithms, and implementing them to create intelligent image processing systems using OpenCV 4