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Practical OpenCV 3 Image Processing with Python

Video Description

Get familiar with Open CV 3 and learn to build amazing computer vision applications

About This Video

  • Program advanced computer vision applications in Python using different features of the OpenCV library

  • Practical end-to-end projects, each covering an important computer vision problem

  • All projects in the video include a step-by-step guide to create computer vision applications.

  • In Detail

    OpenCV is a native cross-platform C++ Library for computer vision, machine learning, and image processing. It is increasingly being adopted in Python for developing applications to process visual data such as photographs or videos. OpenCV has C++/C, Python, and Java interfaces with support for Windows, Linux, Mac, iOS, and Android, and offers extensive libraries with over 500 functions.

    This video demonstrates how to develop a series of intermediate-to-advanced projects using OpenCV and Python, rather than teaching the core concepts of OpenCV in theoretical lessons. Instead, the working projects developed in this video teach the viewer how to apply their theoretical knowledge to topics such as image manipulation, augmented reality, object tracking, 3D scene reconstruction, statistical learning, and object categorization.

    By the end of this video course, viewers will be OpenCV experts whose newly gained experience allows them to develop their own advanced computer vision applications.