About this video
OpenCV is a cross-platform, free-to-use library that is primarily used for real-time computer vision and image processing. It is considered to be one of the best open source libraries that helps developers focus on constructing complete projects on image processing, motion detection, and image segmentation.
Starting with the installation of OpenCV on your system and understanding the basics of image processing, we will swiftly move on to creating optical flow video analysis or text recognition in complex scenes, and will take you through the commonly used computer vision techniques to build your own OpenCV projects from scratch. We will develop awesome projects that will focus on the different concepts of computer vision such as image processing, motion detection, and image segmentation. By the end of this course, you will be familiar with the basics of OpenCV such as matrix operations, filters, and histograms, as well as more advanced concepts such as segmentation, machine learning, complex video analysis, and text recognition.
This course will take you through the commonly used Computer Vision techniques to build your own OpenCV projects from scratch.
Style and Approach
This course has been designed to teach you OpenCV through the use of projects and learning recipes, and equip you with skills to develop your own cool applications.
This course is a blend of text, videos, code examples, and assessments, all packaged up keeping your journey in mind. The curator of this course has combined some of the best that Packt has to offer in one complete package. It includes content from the following Packt products:
- OpenCV 3 by Example [Video] by Prateek Joshi, David Millán Escrivá, Vinícius Godoy
- OpenCV by Example by Prateek Joshi, David Millán Escrivá, Vinícius Godoy
- OpenCV 3 Computer Vision Application Programming Cookbook - Third Edition by Robert Laganiere
Note: This interactive EPUB adheres to the latest specification, and requires that your reader supports video and interactive content. We recommend using Readium with the latest stable version of Google Chrome, or iBooks for OSX.
- Publication date:
- April 2017
- 4 hours