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You're reading from  Learning OpenCV 4 Computer Vision with Python 3 - Third Edition

Product typeBook
Published inFeb 2020
Reading LevelIntermediate
PublisherPackt
ISBN-139781789531619
Edition3rd Edition
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Authors (2):
Joseph Howse
Joseph Howse
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Joseph Howse

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.
Read more about Joseph Howse

Joe Minichino
Joe Minichino
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Joe Minichino

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.
Read more about Joe Minichino

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Converting 10-bit images to 8-bit

As we noted in the previous section, some of the channels of a depth camera use a range larger than 8 bits for their data. A large range tends to be useful for computations, but inconvenient for display, since most computer monitors are only capable of using an 8-bit range, [0, 255], per channel.

OpenCV's cv2.imshow function re-scales and truncates the given input data in order to convert the image for display. Specifically, if the input image's data type is unsigned 16-bit or signed 32-bit integers, cv2.imshow divides the data by 256 and truncates it to the 8-bit unsigned integer range, [0, 255]. If the input image's data type is 32-bit or 64-bit floating-point numbers, cv2.imshow assumes that the data's range is [0.0, 1.0], so it multiplies the data by 255 and truncates it to the 8-bit unsigned integer range, [0, 255]. By...

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Learning OpenCV 4 Computer Vision with Python 3 - Third Edition
Published in: Feb 2020Publisher: PacktISBN-13: 9781789531619

Authors (2)

author image
Joseph Howse

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.
Read more about Joseph Howse

author image
Joe Minichino

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.
Read more about Joe Minichino