FREE E-BOOK OpenCV 4 with Python Blueprints Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8


OpenCV 4 with Python Blueprints Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8



FREE E-BOOK OpenCV 4 with Python Blueprints: Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8
FREE E-BOOK OpenCV 4 with Python Blueprints: Become proficient in computer vision by designing advanced projects using OpenCV 4 with Python 3.8






Describe:

Comprehensive practical projects covering advanced computer vision concepts such as image processing, machine learning, augmented reality and artificial neural networks


Introduction

The aim of this book is to obtain practical training with a wide range of intermediate to advanced students Projects using the latest version of the OpenCV 4 framework and the Python 3.8 language Instead of covering the basic concepts of computer vision in only theoretical lessons.

This updated second edition has deepened the concepts we're dealing with
OpenCV. It will guide you as you work on independent practical projects that you focus on
On basic computer vision concepts like image processing and 3D scene reconstruction,
Object detection, object tracking. It will also cover, with factual examples, statistical
Learning and deep neural networks.

You will begin to understand concepts such as photo filters and feature matching, such as
In addition to using custom sensors such as the Kinect Depth Sensor. You will also learn how
Recreate and visualize a 3D scene, how to align images, and how to combine multiple images
Pictures in one photo. As you progress through the book, you will learn how to do this
Learn about traffic lights and emotions on faces, discover and track objects in video streams
Using neural networks, even if they disappear for short periods of time.

At the end of this book OpenCV and Python, you will have practical experience and you will
Proficient in developing your own advanced computer vision applications Specific business needs. Throughout the book, you will explore multi-machine learning Computer vision models such as vector support (SVM) and convolutional devices Neural networks.

Feature guides

Build computer vision projects to capture high-quality image data, discover and track organisms, and address animal or human behavior

• Implement your learning in different areas of computer vision

• Learn about advanced concepts in OpenCV and the development of modern computer vision applications

Explanation of the book

The goal of this book is to get hands-on training with a wide range of intermediate to advanced projects using the latest version of the framework and language, OpenCV 4 and Python 3.8, instead of covering only the basic concepts of OpenCV in theoretical lessons.

This updated second edition will guide you through working on independent practical projects that focus on basic OpenCV concepts such as image processing, object detection, image processing, object tracking, 3D scene reconstruction, as well as statistical learning and neural networks.

You will begin to understand concepts such as photo filters, Kinect depth sensor, and feature matching. You will also learn to reconstruct and visualize a 3D scene and keep track of the outstanding objects visually. Moreover, you will learn how to recognize traffic lights and emotions on faces. At the end of the book, you'll understand how to align images, detect and track objects using neural networks.

At the end of the book OpenCV Python, you will have gained practical experience and will become adept at developing your advanced computer vision applications according to your specific business needs.

What will you learn

• Generate real-time visual effects using filters and image processing techniques such as dribbling and burning.

Real-time hand gesture recognition and hand shape analysis based on Microsoft Kinect sensor output.

• Learn to extract the feature and match the feature to track arbitrary objects of interest

Rebuild a realistic 3D scene using 2D camera movement and camera rejection techniques.

• Exposing faces using the successive workbook and identifying emotions in human faces using a multi-layered visualization.

• Understand how to align images with OpenCV.

For whom is this book

This OpenCV book is intended for mid-level OpenCV users looking to enhance their skills by developing advanced practical applications. Knowledge of OpenCV concepts, Python libraries, and basic knowledge of Python programming.