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Detectron2 In Practice


Detectron2 In Practice
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Detectron2 In Practice


Detectron2 In Practice
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Author : Richard Johnson
language : en
Publisher: HiTeX Press
Release Date : 2025-05-30

Detectron2 In Practice written by Richard Johnson and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-30 with Computers categories.


"Detectron2 in Practice" "Detectron2 in Practice" is a comprehensive guidebook for practitioners and researchers aiming to master the deployment and customization of Detectron2, Facebook AI's state-of-the-art computer vision library. The book begins by grounding readers in the foundational concepts of Detectron2, shedding light on its philosophy, modular architecture, and positioning within the broader landscape of deep learning frameworks. It provides a detailed analysis of supported tasks such as object detection, instance segmentation, keypoint detection, and panoptic segmentation, offering an informed comparison with leading alternatives like MMDetection and TensorFlow Object Detection API. Building on these foundations, the book offers an in-depth exploration of Detectron2's core architecture, APIs, and flexible training pipelines. Readers are guided through every step of the workflow, from dataset integration and annotation to advanced data augmentation, distributed training, and custom model development. Detailed chapters illuminate the intricacies of configuration systems, extensible trainer frameworks, data pipeline reengineering, and plugin integration, enabling users to design tailored solutions for research or production at scale. Practical advice on scaling workflows to the cloud, optimizing for diverse hardware, and deploying efficient models in real-world environments ensure that the book remains relevant for both enterprise and academic applications. In its final sections, "Detectron2 in Practice" transitions to applied use cases, benchmarking methodologies, and visionary perspectives on the evolution of computer vision. Real-world case studies spanning medical imaging, robotics, retail, and smart city applications highlight how Detectron2 empowers innovations across industries. The book concludes by surveying the future of the field, from the integration of vision transformers and self-supervised learning to best practices for community engagement and sustainability. With its thorough, example-driven approach, this volume establishes itself as an essential resource for any professional aiming to unlock the full potential of Detectron2 in contemporary computer vision tasks.



Linking Theory And Practice Of Digital Libraries


Linking Theory And Practice Of Digital Libraries
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Author : Gianmaria Silvello
language : en
Publisher: Springer Nature
Release Date : 2022-09-14

Linking Theory And Practice Of Digital Libraries written by Gianmaria Silvello and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-09-14 with Computers categories.


This book constitutes the proceedings of the 26th International Conference on Theory and Practice of Digital Libraries, TPDL 2022, which took place in Padua, Italy, in September 2022. The 18 full papers, 27 short papers and 15 accelerating innovation papers included in these proceedings were carefully reviewed and selected from 107 submissions. They focus on digital libraries and associated technical, practical, and social issues.



13th International Conference On Information Systems And Advanced Technologies Icisat 2023


13th International Conference On Information Systems And Advanced Technologies Icisat 2023
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Author : Mohamed Ridda Laouar
language : en
Publisher: Springer Nature
Release Date : 2024-07-30

13th International Conference On Information Systems And Advanced Technologies Icisat 2023 written by Mohamed Ridda Laouar and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-30 with Computers categories.


This book covers the Proceedings of the 13th International Conference on Information Systems and Advanced Technologies “ICISAT’2023.” One of the evocative and valuable dimensions of this conference is the way it brings together researchers, scientists, academics, and engineers in the field from different countries and enables discussions and debate of relevant issues, challenges, opportunities, and research findings. The ICISAT’2023 conference provided a forum for research and developments in the field of information systems and advanced technologies and new trends in developing information systems organizational aspects of their development and intelligent aspects of the final product. The aim of the ICISAT’2023 is to report progress and development of methodologies, technologies, planning and implementation, tools, and standards in information systems, technologies, and sciences. ICISAT’2023 aims at addressing issues related to the intelligent information, data science, and decision support system, from multidisciplinary perspectives and to discuss the research, teaching, and professional practice in the field. The book of ICISAT’2023 includes selected papers from the 13th International Conference on Information Systems and Advanced Technologies “ICISAT’2023,” organized during December 29–30, 2023. In this book, researchers, professional software, and systems engineers from around the world addressed intelligent information, data science, and decision support system for the conference. The ideas and practical solutions described in the book are the outcome of dedicated research by academics and practitioners aiming to advance theory and practice in this research domain. The list of topics is in all the areas of modern intelligent information systems and technologies such as neural networks, evolutionary computing, adaptive systems, pervasive system, ubiquitous system, E-learning and teaching, knowledge-based paradigms, learning paradigms, intelligent data analysis, intelligent decision making and support system, intelligent network security, web intelligence, deep learning, natural language processing, image processing, general machine learning, and unsupervised learning.



Hands On Computer Vision With Detectron2


Hands On Computer Vision With Detectron2
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Author : Van Vung Pham
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-04-14

Hands On Computer Vision With Detectron2 written by Van Vung Pham and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-14 with Computers categories.


Explore Detectron2 using cutting-edge models and learn all about implementing future computer vision applications in custom domains Purchase of the print or Kindle book includes a free PDF eBook Key Features Learn how to tackle common computer vision tasks in modern businesses with Detectron2 Leverage Detectron2 performance tuning techniques to control the model's finest details Deploy Detectron2 models into production and develop Detectron2 models for mobile devices Book Description 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, Facebook's next-gen library providing cutting-edge detection and segmentation algorithms. It's 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. 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). You'll get to grips with the theories and visualizations of Detectron2's architecture and learn how each module in Detectron2 works. As you advance, you'll 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, you'll deploy Detectron2 models into production and develop Detectron2 applications for mobile devices. By the end of this deep learning book, you'll have gained sound theoretical knowledge and useful hands-on skills to help you solve advanced computer vision tasks using Detectron2. What you will learn Build computer vision applications using existing models in Detectron2 Grasp the concepts underlying Detectron2's architecture and components Develop real-life projects for object detection and object segmentation using Detectron2 Improve model accuracy using Detectron2's performance-tuning techniques Deploy Detectron2 models into server environments with ease Develop and deploy Detectron2 models into browser and mobile environments Who this book is for 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.



Advances In Visual Computing


Advances In Visual Computing
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Author : George Bebis
language : en
Publisher: Springer Nature
Release Date : 2021-12-02

Advances In Visual Computing written by George Bebis and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-12-02 with Computers categories.


This two-volume set of LNCS 13017 and 13018 constitutes the refereed proceedings of the 16th International Symposium on Visual Computing, ISVC 2021, which was held in October 2021. The symposium took place virtually instead due to the COVID-19 pandemic. The 48 papers presented in these volumes were carefully reviewed and selected from 135 submissions. The papers are organized into the following topical sections: Part I: deep learning; computer graphics; segmentation; visualization; applications; 3D vision; virtual reality; motion and tracking; object detection and recognition. Part II: ST: medical image analysis; pattern recognition; video analysis and event recognition; posters.



Computer Vision Eccv 2022


Computer Vision Eccv 2022
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Author : Shai Avidan
language : en
Publisher: Springer Nature
Release Date : 2022-10-22

Computer Vision Eccv 2022 written by Shai Avidan and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-10-22 with Computers categories.


The 39-volume set, comprising the LNCS books 13661 until 13699, constitutes the refereed proceedings of the 17th European Conference on Computer Vision, ECCV 2022, held in Tel Aviv, Israel, during October 23–27, 2022. The 1645 papers presented in these proceedings were carefully reviewed and selected from a total of 5804 submissions. The papers deal with topics such as computer vision; machine learning; deep neural networks; reinforcement learning; object recognition; image classification; image processing; object detection; semantic segmentation; human pose estimation; 3d reconstruction; stereo vision; computational photography; neural networks; image coding; image reconstruction; object recognition; motion estimation.



Trustworthy Machine Learning For Healthcare


Trustworthy Machine Learning For Healthcare
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Author : Hao Chen
language : en
Publisher: Springer Nature
Release Date : 2023-07-30

Trustworthy Machine Learning For Healthcare written by Hao Chen and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-30 with Computers categories.


This book constitutes the proceedings of First International Workshop, TML4H 2023, held virtually, in May 2023. The 16 full papers included in this volume were carefully reviewed and selected from 30 submissions. The goal of this workshop is to bring together experts from academia, clinic, and industry with an insightful vision of promoting trustworthy machine learning in healthcare in terms of scalability, accountability, and explainability.



Cyber Intelligence And Information Retrieval


Cyber Intelligence And Information Retrieval
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Author : Soumi Dutta
language : en
Publisher: Springer Nature
Release Date : 2025-01-22

Cyber Intelligence And Information Retrieval written by Soumi Dutta and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-22 with Computers categories.


This book gathers a collection of high-quality peer-reviewed research papers presented at International Conference on Cyber Intelligence and Information Retrieval (CIIR 2023), held at Institute of Engineering & Management, Kolkata, India during 14 – 15 December 2023. The book covers research papers in the field of privacy and security in the cloud, data loss prevention and recovery, high performance networks, network security and cryptography, image and signal processing, artificial immune systems, information and network security, data science techniques and applications, data warehousing and data mining, data mining in dynamic environment, higher order neural computing, rough set and fuzzy set theory, and nature inspired computing techniques.



Machine Learning For Societal Improvement Modernization And Progress


Machine Learning For Societal Improvement Modernization And Progress
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Author : Pendyala, Vishnu S.
language : en
Publisher: IGI Global
Release Date : 2022-06-24

Machine Learning For Societal Improvement Modernization And Progress written by Pendyala, Vishnu S. and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-06-24 with Computers categories.


Learning has been fundamental to the growth and evolution of humanity and civilization. The same concepts of learning, applied to the tasks that machines can perform, are having a similar effect now. Machine learning is evolving computation and its applications like never before. It is now widely recognized that machine learning is playing a similar role to electricity in the late 19th and early 20th centuries in modernizing the world. From simple high school science projects to large-scale radio astronomy, machine learning has revolutionized it all—however, a few of the applications clearly stand out as transforming the world and opening up a new era. Machine Learning for Societal Improvement, Modernization, and Progress showcases the path-breaking applications of machine learning that are leading to the next generation of computing and living standards. The focus of the book is machine learning and its application to specific domains, which is resulting in substantial civilizational progress. Covering topics such as lifespan prediction, smart transportation networks, and socio-economic data, this premier reference source is a dynamic resource for data scientists, industry leaders, practitioners, students and faculty of higher education, sociologists, researchers, and academicians.



Artificial Intelligence


Artificial Intelligence
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Author : Leonidas Deligiannidis
language : en
Publisher: Walter de Gruyter GmbH & Co KG
Release Date : 2024-08-05

Artificial Intelligence written by Leonidas Deligiannidis and has been published by Walter de Gruyter GmbH & Co KG this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-05 with Computers categories.


Artificial Intelligence (AI) revolves around creating and utilizing intelligent machines through science and engineering. This book delves into the theory and practical applications of computer science methods that incorporate AI across many domains. It covers techniques such as Machine Learning (ML), Convolutional Neural Networks (CNN), Deep Learning (DL), and Large Language Models (LLM) to tackle complex issues and overcome various challenges.