Build with OpenCV

Develop real-world applications in OpenCV with the latest in computer vision and image processing
$106.25
RRP $124.99

This course is for developers who are new to OpenCV and want to develop computer vision applications with OpenCV in C++. A basic knowledge of C++ would be helpful. This course is also useful for people who want to get started with computer vision and understand the underlying concepts. They should be aware of basic mathematical concepts to make the most out of this book.

Globe

Get to grips with the basics of computer vision and image processing

Database

Learn OpenCV concepts by building real-world projects

Lock

Understand segmentation and feature extraction techniques

Process

Work with Tesseract OCR, a free, open-source library to recognize text in images

Duration: 4 hours

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.

What am I going to get from this course?

  • Create the required CMake scripts to compile the C++ application and manage its dependencies
  • Get to grips with the computer vision workflows and understand the basic image matrix format and filters
  • Remove backgrounds from a static scene to identify moving objects for video surveillance
  • Track different objects in a live video using various techniques
  • Use the new OpenCV functions for text detection and recognition with Tesseract

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:

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.