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Tommy Dang
Hands-On Computer Vision with Detectron2
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1701679Hands-On Computer Vision with Detectron2https://www.gandhi.com.mx/object-detection-and-segmentation-using-detectron2/phttps://gandhi.vtexassets.com/arquivos/ids/985280/a7ed71b4-c4f6-4dcf-8068-b5fc30641868.jpg?v=638337132809070000665739MXNPackt PublishingInStock/Ebooks/1677173Hands-On Computer Vision with Detectron2665739https://www.gandhi.com.mx/object-detection-and-segmentation-using-detectron2/phttps://gandhi.vtexassets.com/arquivos/ids/985280/a7ed71b4-c4f6-4dcf-8068-b5fc30641868.jpg?v=638337132809070000InStockMXN99999DIEbook20239781800566606_W3siaWQiOiJjZjYxNjBlNC1iNTU2LTQ5ZGYtYWY0MS00NWY3M2UwZjJkYTEiLCJsaXN0UHJpY2UiOjczOSwiZGlzY291bnQiOjc0LCJzZWxsaW5nUHJpY2UiOjY2NSwiaW5jbHVkZXNUYXgiOnRydWUsInByaWNlVHlwZSI6Ildob2xlc2FsZSIsImN1cnJlbmN5IjoiTVhOIiwiZnJvbSI6IjIwMjQtMDQtMDhUMTY6MDA6MDBaIiwicmVnaW9uIjoiTVgiLCJpc1ByZW9yZGVyIjpmYWxzZX1d9781800566606_<p><strong>A problem-solving approach to learning all about Detectron2, getting up and running in no time with existing cutting-edge models, and complete steps for implementing future computer vision applications in custom domains.</strong></p><h4>Key Features</h4><ul><li>Learn how to tackle common computer vision tasks in modern businesses with Detectron2</li><li>Leverage Detectron2 performance tuning techniques to control the models finest details</li><li>Deploy Detectron2 models into production and develop Detectron2 models for mobile devices</li></ul><h4>Book Description</h4><p>Computer vision has become a critical success factor in many modern businesses such as automobiles, robotics, and manufacturing, and its market is growing rapidly. This book will help you explore Detectron2. It is the next-generation library that provides cutting-edge detection and segmentation algorithms. Many research and practical projects at Facebook use it as a library to support computer vision tasks. Its models can be exported to TorchScript format, Caffe2, or TensorFlow for deployment.</p><p>This book will guide you step by step on how to use existing models in Detectron2 for computer vision tasks (object detection, instance segmentation, key-point detection, semantic detection, and panoptic segmentation). It also covers theories and visualizations of Detectron2s architectures and how each module in Detectron2 works. You will get to learn two complete hands-on, real-life projects (preparing data, training models, fine-tuning models, and deployments) for object detection and instance segmentation tasks using Detectron2. This book also covers steps for deploying Detectron2 models into production and developing Detectron2 applications for mobile devices.</p><p>By the end of the book, you will have sound theoretical knowledge and valuable practical skills to solve advanced computer vision tasks using Detectron2.</p><h4>What you will learn</h4><ul><li>Build computer vision applications using existing models in Detectron2</li><li>Learn concepts underlying Detectron2s architecture and components</li><li>Develop a real-life project for object detection using Detectron2</li><li>Develop a real-life project for object segmentation using Detectron2</li><li>Improve model accuracy using Detectron2 performance tuning techniques</li><li>Deploy Detectron2 models into production</li><li>Develop Detectron2 applications for mobile devices</li></ul><h4>Who This Book Is For</h4><p>If you are a deep learning application developer, researcher, or software developer with some prior knowledge about deep learning, this book is for you to get started and develop deep learning models for computer vision applications. Even if you are an expert in computer vision and curious about the features of Detectron2, or you would like to learn some cutting-edge deep learning design patterns, you will find this book helpful. Some Android programming skills are advantageous if you want to deploy computer vision applications on mobile devices.</p><h4>Table of Contents</h4><ol><li>Introduction to Detectron2 and computer vision tasks</li><li>Developing computer vision applications using existing Detectron2 models</li><li>Data preparation for object detection applications</li><li>Selecting the base models</li><li>Training custom object detection models</li><li>Inspecting training results and fine-tuning Detectron2 solver</li><li>Fine-tuning object detection models</li><li>Image data augmentation techniques</li><li>Applying train time and test time image augmentations</li><li>Training and fine-tuning instance segmentation models</li><li>Deploying Detectron2 models</li><li>Deploying Detectron2 models into mobile devices</li></ol>...(*_*)9781800566606_<p><strong>Explore Detectron2 using cutting-edge models and learn all about implementing future computer vision applications in custom domains</strong></p><p><strong>Purchase of the print or Kindle book includes a free PDF eBook</strong></p><h4>Key Features</h4><ul><li>Learn how to tackle common computer vision tasks in modern businesses with Detectron2</li><li>Leverage Detectron2 performance tuning techniques to control the models finest details</li><li>Deploy Detectron2 models into production and develop Detectron2 models for mobile devices</li></ul><h4>Book Description</h4><p>Computer vision is a crucial component of many modern businesses, including automobiles, robotics, and manufacturing, and its market is growing rapidly. This book helps you explore Detectron2, Facebooks next-gen library providing cutting-edge detection and segmentation algorithms. Its used in research and practical projects at Facebook to support computer vision tasks, and its models can be exported to TorchScript or ONNX for deployment.</p><p>The book provides you with step-by-step guidance on using existing models in Detectron2 for computer vision tasks (object detection, instance segmentation, key-point detection, semantic detection, and panoptic segmentation). Youll get to grips with the theories and visualizations of Detectron2s architecture and learn how each module in Detectron2 works. As you advance, youll build your practical skills by working on two real-life projects (preparing data, training models, fine-tuning models, and deployments) for object detection and instance segmentation tasks using Detectron2. Finally, youll deploy Detectron2 models into production and develop Detectron2 applications for mobile devices.</p><p>By the end of this deep learning book, youll have gained sound theoretical knowledge and useful hands-on skills to help you solve advanced computer vision tasks using Detectron2.</p><h4>What you will learn</h4><ul><li>Build computer vision applications using existing models in Detectron2</li><li>Grasp the concepts underlying Detectron2s architecture and components</li><li>Develop real-life projects for object detection and object segmentation using Detectron2</li><li>Improve model accuracy using Detectron2s performance-tuning techniques</li><li>Deploy Detectron2 models into server environments with ease</li><li>Develop and deploy Detectron2 models into browser and mobile environments</li></ul><h4>Who this book is for</h4><p>If you are a deep learning application developer, researcher, or software developer with some prior knowledge about deep learning, this book is for you to get started and develop deep learning models for computer vision applications. Even if you are an expert in computer vision and curious about the features of Detectron2, or you would like to learn some cutting-edge deep learning design patterns, you will find this book helpful. Some HTML, Android, and C programming skills are advantageous if you want to deploy computer vision applications using these platforms.</p>...9781800566606_Packt Publishinglibro_electonico_c98984b2-ad27-3888-a777-fb15fcd5ace3_9781800566606;9781800566606_9781800566606Tommy DangInglésMéxicohttps://getbook.kobo.com/koboid-prod-public/packt-epub-9f7f4437-930f-4e22-83f5-a035849e4c56.epub2023-04-14T00:00:00+00:00Packt Publishing