Free Book Practical OpenCV hands-on project book


Practical OpenCV hands-on project book

Free Book Practical OpenCV hands-on project book
Free Book Practical OpenCV hands-on project book

Describe:

OpenCV Practical is a practical project book that shows you how to get the best out of OpenCV, the open source computer vision library.

Computer vision is key to techniques such as recognizing objects, discovering shapes, and assessing depth. OpenCV is an open source library with over 2,500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and augmented reality overlays. It is used by major companies such as Google (in its standalone car), Intel and Sony; It is the backbone of computer vision for Android. In short, if you are working with computer vision at all, you need to know OpenCV.

With the OpenCV process, you'll be able to:

Run and run OpenCV on Windows or Linux.

Use OpenCV to control the camera board and run visibility algorithms on Raspberry Pi.

Understand the scenes behind computer vision apps like discovering things, stitching photos, filtering, stereo seeing and more. Complex computer vision symbol project for your class / hobby / robot / job, many of which can be implemented in real time on ready processors.

Combine the different units you develop to create your own interactive computer vision application.

What will you learn?

Privacy and Generalities of OpenCV Programming on Windows and Linux Operating System Converting and filtering images to reveal angles, edges, lines and circles in photos and video To detect pre-set objects in photos and videos Create panoramic images by merging images together to obtain depth information using basic basic stereo cameras for machine learning techniques .

For whom is this book

This book is for programmers and manufacturers who have had little or no exposure to a computer. Some proficiency is required with C ++.

 OpenCV Practical is a practical project book that shows you how to get the best out of OpenCV, an open source computer vision library, and computer vision are key to technologies like object recognition, shape detection, and depth estimation.

OpenCV is an open source library with over 2,500 algorithms that you can use to do all of these, as well as track moving objects, extract 3D models, and augmented reality overlays. It is used by major companies such as Google (in its standalone car), Intel and Sony; It is the backbone of computer vision for Android. In short, if you are working with computer vision at all, you need to know OpenCV, with its practical OpenCV, you will be able to:

Run and run OpenCV on Windows or Lnux.

Use OpenCV to control the camera board and run visibility algorithms on Raspberry Pi.

Understand the scenes behind computer vision apps like discovering things, stitching photos, filtering, stereo seeing and more.

Complex computer vision symbol project for your class / hobby / robot / job, many of which can be implemented in real time on ready processors.

Combine the different units you develop to create your own interactive computer vision application.

Table of contents

Part 1: Getting rest

Chapter 1: Introduction to Computer Vision and OpenCV

Chapter 2: Set up OpenCV on your computer

Chapter 3: Biography Bling - OpenCV Demo Inbuilt

Chapter Four: Basic operations on images and graphical user interfaces

Part Two: Advanced Computer Vision Issues and Coding in OpenCV

Chapter Five: Photo Filtering

Chapter Six: Shapes in pictures

Chapter Seven: Image segmentation and graphics

Chapter 8: Basic machine learning and point-based detection

Chapter 9: Approximate and theoretical transformations and their applications on panoramic images

Chapter Ten: Three-dimensional geometry and stereoscopic vision

Chapter 11: Embedded computer vision: Running OpenCV programs on the Raspberry Pi


Free Book Practical OpenCV hands-on project book