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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.
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Getting Haar cascade data

The OpenCV 4 source code, or your installation of a prepackaged build of OpenCV 4, should contain a subfolder called data/haarcascades. If you are unable to locate this, refer back to Chapter 1, Setting Up OpenCV, for instructions on obtaining the OpenCV 4 source code.

The data/haarcascades folder contains XML files that can be loaded by an OpenCV class called cv2.CascadeClassifier. An instance of this class interprets a given XML file as a Haar cascade, which provides a detection model for a type of object such as a face. cv2.CascadeClassifier can detect this type of object in any image. As usual, we could obtain a still image from a file, or we could obtain a series of frames from a video file or a video camera.

Once you find data/haarcascades, create a directory elsewhere for your project; in this folder, create a subfolder called cascades, and copy...

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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