Book Image

Mastering OpenCV 4 with Python

By : Alberto Fernández Villán
5 (1)
Book Image

Mastering OpenCV 4 with Python

5 (1)
By: Alberto Fernández Villán

Overview of this book

OpenCV is considered to be one of the best open source computer vision and machine learning software libraries. It helps developers build complete projects in relation to image processing, motion detection, or image segmentation, among many others. OpenCV for Python enables you to run computer vision algorithms smoothly in real time, combining the best of the OpenCV C++ API and the Python language. In this book, you'll get started by setting up OpenCV and delving into the key concepts of computer vision. You'll then proceed to study more advanced concepts and discover the full potential of OpenCV. The book will also introduce you to the creation of advanced applications using Python and OpenCV, enabling you to develop applications that include facial recognition, target tracking, or augmented reality. Next, you'll learn machine learning techniques and concepts, understand how to apply them in real-world examples, and also explore their benefits, including real-time data production and faster data processing. You'll also discover how to translate the functionality provided by OpenCV into optimized application code projects using Python bindings. Toward the concluding chapters, you'll explore the application of artificial intelligence and deep learning techniques using the popular Python libraries TensorFlow, and Keras. By the end of this book, you'll be able to develop advanced computer vision applications to meet your customers' demands.
Table of Contents (20 chapters)
Free Chapter
1
Section 1: Introduction to OpenCV 4 and Python
6
Section 2: Image Processing in OpenCV
12
Section 3: Machine Learning and Deep Learning in OpenCV
16
Section 4: Mobile and Web Computer Vision

Face processing introduction

In this chapter, we will cover the main topics in connection with face processing. In order to do so, we will be using the OpenCV library, but also the dlib (http://dlib.net/python/index.html, https://pypi.org/project/dlib/, https://github.com/davisking/dlib), face_recognition (https://pypi.org/project/face_recognition/, https://github.com/ageitgey/face_recognition) and cvlib (https://pypi.org/project/cvlib/, https://github.com/arunponnusamy/cvlib, https://www.cvlib.net/) Python packages. In the previous section, you saw how to install these packages.

In order to introduce this chapter, we will be using different approaches throughout all the sections to see the different possibilities you have at hand to solve a concrete face processing task, and it can be helpful to have a high-level overview of all of these alternatives.

This diagram attempts to...