Hands-On Computer Vision with Julia下载

weixin_39821228 2019-12-03 10:00:17

Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking.
Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well
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Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. What you will learn Analyze image metadata and identify critical data using JuliaImages Apply filters and improve image quality and color schemes Extract 2D features for image comparison using JuliaFeatures Cluster and classify images with KNN/SVM machine learning algorithms Recognize text in an image using the Tesseract library Use OpenCV to recognize specific objects or faces in images and videos Build neural network and classify images with MXNet Who This Book Is For Hands-On Computer Vision with Julia is for Julia developers who are interested in learning how to perform image processing and want to explore the field of computer vision. Basic knowledge of Julia will help you understand the concepts more effectively.

Hands-On Computer Vision with Julia: Build complex applications with advanced Julia packages for image processing, neural networks, and Artificial Intelligence Explore the various packages in Julia that support image processing and build neural networks for video processing and object tracking. Key Features Build a full-fledged image processing application using JuliaImages Perform basic to advanced image and video stream processing with Julia's APIs Understand and optimize various features of OpenCV with easy examples Book Description Hands-On Computer Vision with Julia is a thorough guide for developers who want to get started with building computer vision applications using Julia. Julia is well suited to image processing because it's easy to use and lets you write easy-to-compile and efficient machine code. This book begins by introducing you to Julia's image processing libraries such as Images.jl and ImageCore.jl. You'll get to grips with analyzing and transforming images using JuliaImages; some of the techniques discussed include enhancing and adjusting images. As you make your way through the chapters, you'll learn how to classify images, cluster them, and apply neural networks to solve computer vision problems. In the concluding chapters, you will explore OpenCV applications to perform real-time computer vision analysis, for example, face detection and object tracking. You will also understand Julia's interaction with Tesseract to perform optical character recognition and build an application that brings together all the techniques we introduced previously to consolidate the concepts learned. By end of the book, you will have understood how to utilize various Julia packages and a few open source libraries such as Tesseract and OpenCV to solve computer vision problems with ease. What you will learn Analyze image metadata and identify critical data using JuliaImages Apply filters and improve image quality and color schemes Extract 2D features for image com

Julia的动手计算机视觉这是Packt出版的“ 的代码存储库。使用用于图像处理，神经网络和人工智能的高级Julia软件包构建复杂的应用程序这本书是关于什么的？ Julia的动手计算机视觉技术是为想要开始使用Julia构建计算机视觉应用程序的开发人员的详尽指南。 Julia非常适合图像处理，因为它易于使用，并允许您编写易于编译且高效的机器代码。本书涵盖以下激动人心的功能：使用JuliaImages分析图像元数据并识别关键数据应用滤镜并改善图像质量和配色方案使用JuliaFeatures提取2D特征以进行图像比较使用KNN / SVM机器学习算法对图像进行聚类和分类使用Tesseract库识别图像中的文本如果您觉得这本书适合您，请立即获取！说明和导航所有代码都组织在文件夹中。例如，Chapter02。该代码将如下所示： using Images s

AAAI-19 Accepted Papers – Main Technical Track 整理自：AAAI官网，分类整理持续更新… 详细文章可从arXiz.org下载 – CircConv: A Structured Convolution with Low Complexity Siyu Liao ()*; Bo Yuan (Rutgers University) – Deep Sing...

Deep down the rabbit hole: CVPR 2015 and beyond CVPR is the premier Computer Vision conference, and it's fair to think of it as the Olympics of Computer Vision Research.This year it was held

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