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Titlebook: Learn Computer Vision Using OpenCV; With Deep Learning C Sunila Gollapudi Book 2019 Sunila Gollapudi 2019 Computer Vision.Open CV.Python.De

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發(fā)表于 2025-3-21 17:00:35 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Learn Computer Vision Using OpenCV
副標(biāo)題With Deep Learning C
編輯Sunila Gollapudi
視頻videohttp://file.papertrans.cn/583/582573/582573.mp4
概述Helps readers get a jump start to computer vision implementations.Offers use-case driven implementation for computer vision with focused learning on OpenCV and Python libraries.Helps create deep learn
圖書封面Titlebook: Learn Computer Vision Using OpenCV; With Deep Learning C Sunila Gollapudi Book 2019 Sunila Gollapudi 2019 Computer Vision.Open CV.Python.De
描述Build practical applications of computer vision using the OpenCV library with Python. This book discusses different facets of computer vision such as image and object detection, tracking and motion analysis and their applications with examples.?.The author starts with an introduction to computer vision followed by setting up OpenCV from scratch using Python. The next section discusses specialized image processing and segmentation and how images are stored and processed by a computer. This involves pattern recognition and image tagging using the OpenCV library. Next, you’ll work with object detection, video storage and interpretation, and human detection using OpenCV. Tracking and motion is also discussed in detail. The book also discusses creating complex deep learning models with CNN and RNN. The author finally concludes with recent applications and trends in computer vision..After reading this book, you will be able to understand and implement computer vision and its applications with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work..What You Will Learn.Understand what
出版日期Book 2019
關(guān)鍵詞Computer Vision; Open CV; Python; Deep Learning; Artificial intelligence; Image Segmentation; Object Detec
版次1
doihttps://doi.org/10.1007/978-1-4842-4261-2
isbn_softcover978-1-4842-4260-5
isbn_ebook978-1-4842-4261-2
copyrightSunila Gollapudi 2019
The information of publication is updating

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Artificial Intelligence and Computer Vision,haviors accordingly. Computer vision, which enables computers and machines to see and understand the world around them, specifically has become a game-changer for how and where machines can be used and AI can be adopted.
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ations with OpenCV using Python. You will also be able to create deep learning models with CNN and RNN and understand how these cutting-edge deep learning architectures work..What You Will Learn.Understand what978-1-4842-4260-5978-1-4842-4261-2
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發(fā)表于 2025-3-22 19:53:50 | 只看該作者
ans functions, Lopatinski determinants etc. Zumbrun discusses planar stability for viscous shocks with a realistic physical viscosity, necessary and sufficient conditions for nonlinear stability, in analogy to the Lopatinski condition obtained by Majda for the inviscid case..
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發(fā)表于 2025-3-23 01:00:39 | 只看該作者
Sunila Gollapudifor nonlinear hyperbolic systems of first-order partial differential equations in divergence form, also called hyperbolic systems of con- servation laws. Such equations arise in many areas of continuum physics when fundamental balance laws are formulated (for the mass, momentum, total energy . . . of a fluid 978-3-7643-6687-2978-3-0348-8150-0
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Sunila Gollapudiear hyperbolic systems of first-order partial differential equations in divergence form, also called hyperbolic systems of con- servation laws. Such equations arise in many areas of continuum physics when fundamental balance laws are formulated (for the mass, momentum, total energy . . . of a fluid
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