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Mastering OpenCV 4 with Python

Mastering OpenCV 4 with Python

By : Alberto Fernández Villán
3.4 (10)
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Mastering OpenCV 4 with Python

Mastering OpenCV 4 with Python

3.4 (10)
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)
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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

Handling Files and Images

In any kind of project, coping with files and images is a key aspect. In this sense, many projects should work with files as forms of data input. Additionally, the project can generate some data after any kind of processing has been done, which can be outputted in the form of files or images. In computer vision, this information flow (input-processing-output) takes special relevance due to the inherent characteristics of these types of projects (for example, images to be processed and models that are generated by machine learning algorithms).

In this chapter, we are going to see how we can handle both files and images. You will learn how to cope with files and images, which are necessary for building computer vision applications.

More specifically, we will cover the following topics:

  • A theoretical introduction to handling files and images
  • Reading/writing...
Visually different images
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Tech Concepts
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Programming languages
73
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Mastering OpenCV 4 with Python
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