This is the code repository for OpenCV By Example, published by Packt.
**Enhance your understanding of Computer Vision and image processing by developing real-world projects in OpenCV 3 **
Open CV is a cross-platform, free-for-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.
This book covers the following exciting features: Install OpenCV 3 on your operating system 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 Understand the segmentation and feature extraction techniques 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
If you feel this book is for you, get your copy today!
All of the code is organized into folders. For example, Chapter02.
The code will look like the following:
// OpenCV includes
#include "opencv2/core.hpp"
#include "opencv2/highgui.hpp"
using namespace cv;
Following is what you need for this book: If you are a software developer with a basic understanding of Computer Vision and image processing and want to develop interesting Computer Vision applications with Open CV, this is the book for you. Knowledge of C++ is required.
With the following software and hardware list you can run all code files present in the book (Chapter 1-11).
| Chapter | Software required | OS required |
|---|---|---|
| 1-11 | Open CV | Windows and Linux (Any) |
| 1-11 | Cmake (library for OpenCV) | Windows and Linux (Any) |
Prateek Joshi is a Computer Vision researcher and published author. He has over eight years of experience in this field with a primary focus on content-based analysis and deep learning. His work in this field has resulted in multiple patents, tech demos, and research papers at major IEEE conferences. He is the author of OpenCV with Python By Example, Packt Publishing. He has won many hackathons using a wide variety of technologies related to image recognition. His blog has been visited by users in more than 200 countries, and he has been featured as a guest author in prominent tech magazines. He enjoys blogging on topics, such as artificial intelligence, abstract mathematics, and cryptography. You can visit his blog at www.prateekvjoshi.com. He is an avid coder who is passionate about building game-changing products. He is particularly interested in intelligent algorithms that can automatically understand the content to produce scene descriptions in terms of constituent objects. He graduated from the University of Southern California and has worked for such companies as Nvidia, Microsoft Research, Qualcomm, and a couple of early stage start-ups in Silicon Valley. You can learn more about him on his personal website at www.prateekj.com.
Python Machine Learning Cookbook
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