Howse / Ponnusamy | OpenCV 4 for Secret Agents | E-Book | sack.de
E-Book

E-Book, Englisch, 336 Seiten

Howse / Ponnusamy OpenCV 4 for Secret Agents

Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers
2. Auflage 2019
ISBN: 978-1-78934-458-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

Use OpenCV 4 in secret projects to classify cats, reveal the unseen, and react to rogue drivers

E-Book, Englisch, 336 Seiten

ISBN: 978-1-78934-458-5
Verlag: De Gruyter
Format: EPUB
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)



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Weitere Infos & Material


Table of Contents - Preparing for the Mission
- Searching for Luxury Accommodations Worldwide
- Training a Smart Alarm to Recognize the Villain and His Cat
- Controlling a Phone App with Your Suave Gestures
- Equipping Your Car with a Rearview Camera and Hazard Detection
- Creating a Physics Simulation Based on a Pen and Paper Sketch
- Seeing a Heartbeat with a Motion-Amplifying Camera
- Stopping Time and Seeing like a Bee


Howse Joseph:

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.Ponnusamy Arun:

Arun Ponnusamy works as a computer vision research engineer at an AI start-up in India. He is a lifelong learner, passionate about image processing, computer vision, and machine learning. He is an engineering graduate from PSG College of Technology, Coimbatore. He started his career at MulticoreWare Inc., where he spent most of his time on image processing, OpenCV, software optimization, and GPU computing. Arun loves to build his understanding of computer vision concepts clearly, allowing him to explain it in an intuitive way on his blog and in meetups. He has created an open source Python library for computer vision, named cvlib, which is aimed at simplicity and user friendliness. He is currently working on object detection, action recognition, and generative networks.



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