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    OpenCV 3 Blueprints. Expand your knowledge of computer vision by building amazing projects with OpenCV 3 Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua

    (ebook) (audiobook) (audiobook) Książka w języku 1
    OpenCV 3 Blueprints. Expand your knowledge of computer vision by building amazing projects with OpenCV 3 Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua - okladka książki

    OpenCV 3 Blueprints. Expand your knowledge of computer vision by building amazing projects with OpenCV 3 Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua - okladka książki

    OpenCV 3 Blueprints. Expand your knowledge of computer vision by building amazing projects with OpenCV 3 Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua - audiobook MP3

    OpenCV 3 Blueprints. Expand your knowledge of computer vision by building amazing projects with OpenCV 3 Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua - audiobook CD

    Autorzy:
    Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    382
    Dostępne formaty:
         PDF
         ePub
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    O autorach książki

    Steven Puttemans is a PhD research candidate at the KU Leuven, Department of Industrial Engineering Sciences. At this university, he is working for the EAVISE research group, which focuses on combining computer vision and artificial intelligence. He obtained a master of science degree in Electronics-ICT and further expanded his interest in computer vision by obtaining a master of science in artificial intelligence. As an enthusiastic researcher, his goal is to combine state-of-the-art computer vision algorithms with real-life industrial problems to provide robust and complete object detection solutions for the industry. His previous projects include TOBCAT, an open source object detection framework for industrial object detection problems, and a variety of smaller computer vision-based industrial projects. During these projects, Steven worked closely with the industry. Steven is also an active participant in the OpenCV community. He is a moderator of the OpenCV Q&A forum, and has submitted or reviewed many bug fixes and improvements for OpenCV 3. He also focuses on putting as much of his research as possible back into the framework to further support the open source spirit. More info about Steven's research, projects, and interests can be found at https://stevenputtemans.github.io.
    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.
    Utkarsh Sinha lives in Pittsburgh, Pennsylvania, where he is pursuing a master's in computer vision at Carnegie Mellon University. He intends to learn the state of the art of computer vision at the university and work on real-life industrial scale computer vision challenges. Before joining CMU, he worked as a Technical Director at Dreamworks Animation on movies such as Home, How to Train your Dragon 2, and Madagascar 3. His work spans multiple movies and multiple generations of graphics technology. He earned his bachelor of engineering degree in computer science and his master of science degree in mathematics from BITS-Pilani, Goa. He has been working in the field of computer vision for about 6 years as a consultant and as a software engineer at start-ups. He blogs at https://utkarshsinha.com/ about various topics in technologymost of which revolve around computer vision. He also publishes computer vision tutorials on the Internet through his website, AI Shack (https://aishack.in/). His articles help people understand concepts in computer vision every day.
    Quan Hua is a Computer Vision and Machine Learning Engineer at BodiData, a data platform for body measurements, where he focuses on developing computer vision and machine learning applications for a handheld technology capable of acquiring a body avatar while a person is fully clothed. He earned a bachelor of science degree from the University of Science, Vietnam, specializing in Computer Vision. He has been working in the field of computer vision and machine learning for about 3 years at start-ups. Quan has been writing for Packt since 2015 for a Computer Vision book, OpenCV 3 Blueprints.

    Matthew John Macdonald, Jason Clemons, Gary Bradski, Alasdair McAndrew, Steven Puttemans, Joseph Howse, Utkarsh Sinha, Quan Hua - pozostałe książki

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