What do you think?
Mastering OpenCV 4 with Python: A practical guide covering topics from image processing, augmented reality to deep learning with OpenCV 4 and Python 3.7
Create advanced applications with Python and OpenCV, exploring the potential of facial recognition, machine learning, deep learning, web computing and augmented reality.
Key Features
Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and Python
Apply machine learning and deep learning techniques with TensorFlow and Keras
Discover the modern design patterns you should avoid when developing efficient computer vision applications
Book Description
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.
What you will learn
Handle files and images, and explore various image processing techniques
Explore image transformations, including translation, resizing, and cropping
Gain insights into building histograms
Brush up on contour detection, filtering, and drawing
Work with Augmented Reality to build marker-based and markerless applications
Work with the main machine learning algorithms in OpenCV
Explore the deep learning Python libraries and OpenCV deep learning capabilities
Create computer vision and deep learning web applications
Key Features
Develop your computer vision skills by mastering algorithms in Open Source Computer Vision 4 (OpenCV 4) and Python
Apply machine learning and deep learning techniques with TensorFlow and Keras
Discover the modern design patterns you should avoid when developing efficient computer vision applications
Book Description
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.
What you will learn
Handle files and images, and explore various image processing techniques
Explore image transformations, including translation, resizing, and cropping
Gain insights into building histograms
Brush up on contour detection, filtering, and drawing
Work with Augmented Reality to build marker-based and markerless applications
Work with the main machine learning algorithms in OpenCV
Explore the deep learning Python libraries and OpenCV deep learning capabilities
Create computer vision and deep learning web applications
532 pages, Paperback
Published March 29, 2019
Ratings & Reviews
Friends & Following
Create a free account to discover what your friends think of this book!
Community Reviews
Displaying 1 - 1 of 1 review
January 8, 2023
Mastering OpenCV 4 with Python" by Alberto Fernández Villán is a comprehensive guide that delves into the intricate world of computer vision, seamlessly blending theoretical concepts with practical applications. The book covers a wide array of topics, including image processing, augmented reality, and deep learning, all utilizing OpenCV 4 and Python 3.7.
The author's meticulous approach is evident as he guides readers through setting up OpenCV, exploring key concepts of computer vision, and advancing to more complex subjects. The inclusion of machine learning techniques with TensorFlow and Keras further enriches the learning experience, providing a holistic understanding of modern computer vision applications.
The book inspires a sense of curiosity and excitement, encouraging readers to experiment and innovate within the realm of computer vision. The logical structure and clear explanations make complex topics accessible, fostering a deep appreciation for the capabilities of OpenCV and Python.
However, it's worth noting that the book assumes a basic understanding of OpenCV and Python programming. Beginners may find certain sections challenging and might need to supplement their learning with additional resources.
"Mastering OpenCV 4 with Python" is a valuable resource for developers, engineers, and researchers aiming to enhance their computer vision skills.
The author's meticulous approach is evident as he guides readers through setting up OpenCV, exploring key concepts of computer vision, and advancing to more complex subjects. The inclusion of machine learning techniques with TensorFlow and Keras further enriches the learning experience, providing a holistic understanding of modern computer vision applications.
The book inspires a sense of curiosity and excitement, encouraging readers to experiment and innovate within the realm of computer vision. The logical structure and clear explanations make complex topics accessible, fostering a deep appreciation for the capabilities of OpenCV and Python.
However, it's worth noting that the book assumes a basic understanding of OpenCV and Python programming. Beginners may find certain sections challenging and might need to supplement their learning with additional resources.
"Mastering OpenCV 4 with Python" is a valuable resource for developers, engineers, and researchers aiming to enhance their computer vision skills.
This entire review has been hidden because of spoilers.
Displaying 1 - 1 of 1 review