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Packt Publishing, 2015. — 115 p. — ISBN: 978-1-78588-617-1. Unleash the power of the Computer Vision algorithms in JavaScript to develop vision-enabled web content. JavaScript is a dynamic and prototype-based programming language supported by every browser today. JavaScript libraries boast outstanding functionalities that enable you to furnish your own Computer Vision projects,...
  • №1
  • 2,54 МБ
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Packt, 2020. — 276 p. — ISBN: 9781800201774. Explore the potential of deep learning techniques in computer vision applications using the Python ecosystem, and build real-time systems for detecting human behavior Key Features Explore the fundamentals and applications of supervised machine learning Learn how to easily label and process your complex data using Python libraries Get...
  • №2
  • 36,61 МБ
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Springer, 2020. — 513 p. — ISBN: 978-3-030-38148-6 (eBook). Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented...
  • №3
  • 72,01 МБ
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Springer, 2020. — 454 p. — ISBN: 978-3-030-42374-2 (eBook). Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented...
  • №4
  • 107,02 МБ
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Springer, 2020. — 694 p. — ISBN: 978-3-030-42378-0 (eBook). Across three volumes, the Handbook of Image Processing and Computer Vision presents a comprehensive review of the full range of topics that comprise the field of computer vision, from the acquisition of signals and formation of images, to learning techniques for scene understanding. The authoritative insights presented...
  • №5
  • 76,71 МБ
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CRC Press, 2020. — 305 p. — ISBN13: 978-1-351-00382-7. This book shows that traditional applications in computer vision can be solved through invoking deep learning. The applications addressed and described in the eleven different chapters have been selected in order to demonstrate the capabilities of deep learning algorithms to solve various issues in computer vision. The...
  • №6
  • 16,35 МБ
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Independently published, 2021. — 76 p. — ASIN B08YK5NYDY. More than just a source of "recipes," this exceptionally authoritative and comprehensive textbook/reference also takes a scientific approach to basic vision problems, formulating physical models of the imaging process before inverting them to produce descriptions of a scene. These problems are also analyzed using...
  • №7
  • 192,72 КБ
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Orange Education Pvt Ltd., 2023. — 336 p. — ISBN-13: 978-93-88590-87-7. Be at your A game in building Intelligent systems by leveraging Computer vision and Machine Learning. Key Features Step-by-step instructions and code snippets for real world ML projects. Covers entire spectrum from basics to advanced concepts such as deep learning, transfer learning, and model optimization...
  • №8
  • 5,72 МБ
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Packt Publishing, 2019. — 475 p. — ISBN: 978-1-78934-829-3. Hands-On GPU-Accelerated Computer Vision with OpenCV and CUDA: Effective techniques to process complex image data in real time using GPUs Discover how CUDA allows OpenCV to handle complex and rapidly growing image data processing in computer and machine vision by accessing the power of GPU Computer vision has been...
  • №9
  • 5,13 МБ
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Orange Education Pvt Ltd., November 2023. — 423 p. — ISBN-13: 978-93-90475-79-7. "Mastering OpenCV with Python" immerses you in the captivating realm of computer vision, with a structured approach that equips you with the knowledge and skills essential for success in this rapidly evolving field. From grasping the fundamental concepts of image processing and OpenCV to mastering...
  • №10
  • 8,21 МБ
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Springer, 2024. — 485 p. — ISBN 978-981-19-7603-2. This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and...
  • №11
  • 23,77 МБ
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