Learning OpenCV 5 Computer Vision With Python Tackle Computer Vision And Machine Learning With The Newest Tools Techniques And Algorithms(4th Edition)
Authors:
Joseph Howse , Joe Minichino
In Stock: 1 Left
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Solution Manual Includes
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$9.99
Book details
ISBN: 1803230223, 978-1803230221
Book publisher: Packt Publishing
Book Price $0 : Learning OpenCV 5 Computer Vision With Python focuses on advancing understanding in the field of computer vision and machine learning using Python. This fourth edition, authored by Joseph Howse and Joe Minichino, provides an in-depth guide to employing OpenCV for complex image processing tasks. It is a valuable resource for both beginners and seasoned developers interested in exploring the newest techniques and algorithms for computer vision applications. The book delves into practical implementations of Python for image and video analysis, gesture recognition, object tracking, and augmented reality. Broken into structured chapters, this manual serves as a solution manual for tackling real-world vision challenges, complete with an answer key to accelerate learning. The detailed table of content navigates through essential concepts like feature detection, classification algorithms, and the application of convolutional neural networks (CNNs) in Python. This allows readers to build robust computer vision systems. Programmers benefit from the clear, concise examples and practical exercises designed to cement high-level concepts. Readers have appreciated the book's structured approach and practical hands-on experience, enhancing its reception among students and professionals alike interested in AI and machine learning innovations. Moreover, it serves as a critical resource for understanding the integration of machine learning models in computer vision solutions by providing significant insights into industry standards and practices. For those who need a cheap option for study aids, this resource proves both practical and thorough.
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