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Updated for OpenCV 5, this book covers the latest on depth cameras, 3D navigation, deep neural networks, and Cloud computing, helping you solve real-world computer vision problems with practical code
Key Features
Build powerful computer vision applications in concise code with OpenCV 5 and Python 3
Learn the fundamental concepts of image processing, object classification, and 2D and 3D tracking
Train, use, and understand machine learning models, and deploy them...
Design and develop end-to-end, production-grade computer vision projects for real-world industry problems. This book discusses computer vision algorithms and their applications using PyTorch.
The book begins with the fundamentals of computer vision: convolutional neural nets, RESNET, YOLO, data augmentation, and other regularization techniques used in the industry. And then it gives you a quick overview of the PyTorch libraries used in the book. After that, it takes you t...
Description:
By using machine learning models to extract information from images, organizations today are making breakthroughs in healthcare, manufacturing, retail, and other industries. This practical book shows ML engineers and data scientists how to solve a variety of image problems including classification, object detection, autoencoders, image generation, counting, and captioning with proven ML techniques.
Google engineers Valliappa Lakshmanan, Martin Garner, ...
Book Description:
Apply computer vision and machine learning concepts in developing business and industrial applications using a practical, step-by-step approach.
The book comprises four main sections starting with setting up your programming environment and configuring your computer with all the prerequisites to run the code examples. Section 1 covers the basics of image and video processing with code examples of how to manipulate and extract useful information fro...
Computer Vision with Python 3 is published by in September 2017. This book has 325 pages in English, ISBN-13 978-1788299763.
This book is a thorough guide for developers who want to get started with building computer vision applications using Python 3. The book is divided into five sections: The Fundamentals of Image Processing, Applied Computer Vision, Making Applications Smarter,Extending your Capabilities using OpenCV, and Getting Hands on. Throughout this book, three ...
内容简介：
计算机视觉是在图像处理的基础上发展起来的新兴学科。OpenCV是一个开源的计算机视觉库，是英特尔公司资助的两大图像处理利器之一。它为图像处理、模式识别、三维重建、物体跟踪、机器学习和线性代数提供了各种各样的算法。
本书由OpenCV发起人所写，站在一线开发人员的角度用通俗易懂的语言解释了OpenCV的缘起和计算机视觉基础结构，演示了如何用OpenCV和现有的自由代码为各种各样的机器进行编程，这些都有助于读者迅速入门并渐入佳境，兴趣盎然地深入探索计算机视觉领域。
本书可作为信息处理、计...
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