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    Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition

    (ebook) (audiobook) (audiobook) Język publikacji: angielski
    Autorzy:
    Joseph Howse, Joe Minichino
    Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Joseph Howse, Joe Minichino - okładka ebooka

    Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Joseph Howse, Joe Minichino - okładka ebooka

    Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Joseph Howse, Joe Minichino - okładka audiobooka MP3

    Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Joseph Howse, Joe Minichino - okładka audiobooks CD

    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    372
    Dostępne formaty:
    PDF
    ePub
    Mobi
    +139 pkt

    Ebook

    139,00 zł

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    Do przechowalni

    Computer vision is a rapidly evolving science, encompassing diverse applications and techniques. This book will not only help those who are getting started with computer vision but also experts in the domain. You’ll be able to put theory into practice by building apps with OpenCV 4 and Python 3.
    You’ll start by understanding OpenCV 4 and how to set it up with Python 3 on various platforms. Next, you’ll learn how to perform basic operations such as reading, writing, manipulating, and displaying still images, videos, and camera feeds. From taking you through image processing, video analysis, and depth estimation and segmentation, to helping you gain practice by building a GUI app, this book ensures you’ll have opportunities for hands-on activities. Next, you’ll tackle two popular challenges: face detection and face recognition. You’ll also learn about object classification and machine learning concepts, which will enable you to create and use object detectors and classifiers, and even track objects in movies or video camera feed. Later, you’ll develop your skills in 3D tracking and augmented reality. Finally, you’ll cover ANNs and DNNs, learning how to develop apps for recognizing handwritten digits and classifying a person's gender and age.
    By the end of this book, you’ll have the skills you need to execute real-world computer vision projects.

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    O autorach ebooka

    Joseph Howse lives in a Canadian fishing village, where he chats with his cats, crafts his books, and nurtures an orchard of hardy fruit trees. He is President of Nummist Media Corporation, which exists to support his books and to provide mentoring and consulting services, with a specialty in computer vision. On average, in 2015-2022, Joseph has written 1.4 new books or new editions per year for Packt. He also writes fiction, including an upcoming novel about the lives of a group of young people in the last days of the Soviet Union.
    Joe Minichino is an R&D labs engineer at Teamwork. He is a passionate programmer who is immensely curious about programming languages and technologies and constantly experimenting with them. Born and raised in Varese, Lombardy, Italy, and coming from a humanistic background in philosophy (at Milan's Università Statale), Joe has lived in Cork, Ireland, since 2004. There, he became a computer science graduate at the Cork Institute of Technology.

    Joseph Howse, Joe Minichino - pozostałe książki

    Oceny i opinie klientów: Learning OpenCV 4 Computer Vision with Python 3. Get to grips with tools, techniques, and algorithms for computer vision and machine learning - Third Edition Joseph Howse, Joe Minichino (0) Weryfikacja opinii następuję na podstawie historii zamówień na koncie Użytkownika umieszczającego opinię. Użytkownik mógł otrzymać punkty za opublikowanie opinii uprawniające do uzyskania rabatu w ramach Programu Punktowego.

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