Deep Learning Vision Algorithms (33 results)

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Condition: Used - Good. Boom, Brainpower, and Book Smarts! This textbook is in very good condition--gently used with only minor signs of past academic adventures. The pages are crisp, the binding is strong, and it's ready to fuel your next round of genius-level studying.

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
Escrivá, David Millán; Joshi, Prateek; Mendonça, Vinícius G.
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.

Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
Escrivá, David Millán; Joshi, Prateek; Mendonça, Vinícius G.
- Softcover
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Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
David Millan Escriva, Prateek Joshi, Vinicius G. Mendonca, Roy Shilkrot
- Softcover
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Building Computer Vision Projects with OpenCV 4 and C++: Implement complex computer vision algorithms and explore deep learning and face detection
Escrivá, David Millán; Joshi, Prateek; Mendonça, Vinícius G.
- Softcover
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
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- Softcover
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- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Language:Chinese.Paperback.Pub Date:2023-04 Pages:316 Publisher:Beijing Institute of Technology Press Deep Learning and Computer Vision: Core Algorithms and Applications combines theory with practice. and introduces in detail the commonly used algorithms and models of machine learning and deep learning… and their typical applications in the field of computer vision. For beginners. this book systematically introduces the modeling process and methods from scratch. which can lead them to get star.

- Hardcover
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- Hardcover
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- Hardcover
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Language: English
Published by Independently Published Jul 2026, 2026
- Softcover
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Deep Learning For 3d Vision: Algorithms And Applications
Li, Xiaoli (Editor) / Su, Hao (Editor) / Yang, Xulei (Editor)
Language: English
Published by World Scientific Publishing Co Pte Ltd, 2024
- Hardcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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- Hardcover
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Language: English
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Paperback. Pub Date: 2022-01-01 Pages: 189 Language: Chinese Publisher: People's Posts and Telecommunications Press After the introduction. the evolution process of the convolutional neural network structure. as well as the deep learning-based target detection algorithm. image segmentation algorithm. h…uman pose estimation algorithm. pedestrian re-identification and target tracking algorithm. face recognition algorithm and image super-resolution reconstruction method introduced. This book syst.

Published by People Post Press, 2022
- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Paperback. Pub Date: 2022-01-01 Pages: 189 Language: Chinese Publisher: People's Posts and Telecommunications Press After the introduction. the evolution process of the convolutional neural network structure. as well as the deep learning-based target detection algorithm. image segmentation algorithm. h…uman pose estimation algorithm. pedestrian re-identification and target tracking algorithm. face recognition algorithm and image super-resolution reconstruction method introduced. This book syst.

- Softcover
Seller: liu xing, Nanjing, JS, Chinaliu xing
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paperback. Condition: New. Language:Chinese.Paperback. Pub Date: 2019-06-01 Publisher: Machinery Industry Press book is divided into four parts: The first part is to prepare papers (Chapters 1 to 2). briefly depth study related basic background knowledge. deep learning framework the development process and the advantages and dis…advantages of MXNet and describing the construction and use of basic development environment docker help readers build the necessary foundation knowledge .

- Softcover
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- Softcover
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- Softcover
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Seller: Biblios, frankfurt am main, HESSE, GermanyBiblios
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Language: English
Published by Independently published, 2026
- Softcover
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More images- Softcover
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Taschenbuch. Condition: Neu. Building Computer Vision Projects with OpenCV 4 and C++ | Implement complex computer vision algorithms and explore deep learning and face detection | David Millán Millán Escrivá (u. a.) | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781838644673 | Verantwortliche…Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

- Softcover
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Delve into practical computer vision and image processing projects and get up to speed with advanced object detection techniques and machine learning algorithms Key Features:- Discover best practices for engineering and maintaining OpenC…V projects - Explore important deep learning tools for image classification - Understand basic image matrix formats and filters Book Description:OpenCV is one of the best open source libraries available and can help you focus on constructing complete projects on image processing, motion detection, and image segmentation.This Learning Path is your guide to understanding OpenCV concepts and algorithms through real-world examples and activities. Through various projects, you'll also discover how to use complex computer vision and machine learning algorithms and face detection to extract the maximum amount of information from images and videos. In later chapters, you'll learn to enhance your videos and images with optical flow analysis and background subtraction. Sections in the Learning Path will help you get to grips with text segmentation and recognition, in addition to guiding you through the basics of the new and improved deep learning modules. By the end of this Learning Path, you will have mastered commonly used computer vision techniques to build OpenCV projects from scratch. This Learning Path includes content from the following Packt books:- Mastering OpenCV 4 - Third Edition by Roy Shilkrot and David Millán Escrivá- Learn OpenCV 4 By Building Projects - Second Edition by David Millán Escrivá, Vinícius G. Mendonça, and Prateek Joshi What You Will Learn:- Stay up-to-date with algorithmic design approaches for complex computer vision tasks- Work with OpenCV s most up-to-date API through various projects- Understand 3D scene reconstruction and Structure from Motion (SfM)- Study camera calibration and overlay augmented reality (AR) using the ArUco module- Create CMake scripts to compile your C++ application- Explore segmentation and feature extraction techniques- Remove backgrounds from static scenes to identify moving objects for surveillance- Work with new OpenCV functions to detect and recognize text with Tesseract Who this book is for:If you are a software developer with a basic understanding of computer vision and image processing and want to develop interesting computer vision applications with OpenCV, this Learning Path is for you. Prior knowledge of C++ and familiarity with mathematical concepts will help you better understand the concepts in this Learning Path.

- Hardcover
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More images- Hardcover
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Buch. Condition: Neu. DEEP LEARNING FOR 3D VISION | ALGORITHMS AND APPLICATIONS | Li Xiaoli | Buch | Englisch | 2024 | World Scientific | EAN 9789811286483 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.

- Hardcover
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