Hands On Computer Vision With Detectron2
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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.
Object Detection And Segmentation Using Detectron2
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Author : Van Vung Pham
language : en
Publisher: Packt Publishing
Release Date : 2023-04-21
Object Detection And Segmentation Using Detectron2 written by Van Vung Pham and has been published by Packt Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-04-21 with 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.
Detectron2 Unlocked A Hands On Guide To Object Detection Instance Segmentation And Production Deployment
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Author : William E Clark
language : en
Publisher: Walzone Press
Release Date : 2025-11-08
Detectron2 Unlocked A Hands On Guide To Object Detection Instance Segmentation And Production Deployment written by William E Clark and has been published by Walzone Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-11-08 with Computers categories.
Detectron2 Unlocked: A Hands-On Guide to Object Detection, Instance Segmentation, and Production Deployment offers a clear, expertly guided introduction to Detectron2, Facebook AI's modular computer vision library. The book grounds readers in essential concepts and architecture, explains supported tasks—object detection, instance segmentation, keypoint and panoptic segmentation—and situates Detectron2 alongside alternatives like MMDetection and the TensorFlow Object Detection API to help you choose the right tool for your needs. Building on that foundation, the guide walks through end-to-end workflows with pragmatic, example-driven chapters on dataset integration and annotation, advanced augmentations, configuration management, and custom model development. You will learn to reengineer data pipelines, extend trainers and plugins, run distributed and mixed-precision training, and optimize builds for diverse hardware and cloud environments—culminating in robust strategies for deploying performant models to production. The final section translates techniques into real-world impact with cross-industry case studies—from medical imaging and robotics to retail and smart cities—together with benchmarking methodologies and deployment patterns. Forward-looking chapters explore integrating vision transformers, self-supervised learning, and other emerging trends, while also addressing community collaboration and sustainability practices. This practical, example-rich volume equips researchers and practitioners to unlock Detectron2’s full potential in both research and production.
Digital Technologies And Applications
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Author : Saad Motahhir
language : en
Publisher: Springer Nature
Release Date : 2024-08-31
Digital Technologies And Applications written by Saad Motahhir and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-08-31 with Computers categories.
This book presents volume 4 of selected research papers presented at the fourth International Conference on Digital Technologies and Applications (ICDTA’24). Highlighting the latest innovations in digital technologies as: artificial intelligence, Internet of Things, embedded systems, chatbot, network technology, digital transformation and their applications in several areas as Industry 4.0, sustainability, energy transition, and healthcare, the book encourages and inspires researchers, industry professionals, and policymakers to put these methods into practice.
Computer Vision Eccv 2022 Workshops
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Author : Leonid Karlinsky
language : en
Publisher: Springer Nature
Release Date : 2023-02-14
Computer Vision Eccv 2022 Workshops written by Leonid Karlinsky and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-14 with Computers categories.
The 8-volume set, comprising the LNCS books 13801 until 13809, constitutes the refereed proceedings of 38 out of the 60 workshops held at the 17th European Conference on Computer Vision, ECCV 2022. The conference took place in Tel Aviv, Israel, during October 23-27, 2022; the workshops were held hybrid or online. The 367 full papers included in this volume set were carefully reviewed and selected for inclusion in the ECCV 2022 workshop proceedings. They were organized in individual parts as follows: Part I: W01 - AI for Space; W02 - Vision for Art; W03 - Adversarial Robustness in the Real World; W04 - Autonomous Vehicle Vision Part II: W05 - Learning With Limited and Imperfect Data; W06 - Advances in Image Manipulation; Part III: W07 - Medical Computer Vision; W08 - Computer Vision for Metaverse; W09 - Self-Supervised Learning: What Is Next?; Part IV: W10 - Self-Supervised Learning for Next-Generation Industry-LevelAutonomous Driving; W11 - ISIC Skin Image Analysis; W12 - Cross-Modal Human-Robot Interaction; W13 - Text in Everything; W14 - BioImage Computing; W15 - Visual Object-Oriented Learning Meets Interaction: Discovery, Representations, and Applications; W16 - AI for Creative Video Editing and Understanding; W17 - Visual Inductive Priors for Data-Efficient Deep Learning; W18 - Mobile Intelligent Photography and Imaging; Part V: W19 - People Analysis: From Face, Body and Fashion to 3D Virtual Avatars; W20 - Safe Artificial Intelligence for Automated Driving; W21 - Real-World Surveillance: Applications and Challenges; W22 - Affective Behavior Analysis In-the-Wild; Part VI: W23 - Visual Perception for Navigation in Human Environments: The JackRabbot Human Body Pose Dataset and Benchmark; W24 - Distributed Smart Cameras; W25 - Causality in Vision; W26 - In-Vehicle Sensing and Monitorization; W27 - Assistive Computer Vision and Robotics; W28 - Computational Aspectsof Deep Learning; Part VII: W29 - Computer Vision for Civil and Infrastructure Engineering; W30 - AI-Enabled Medical Image Analysis: Digital Pathology and Radiology/COVID19; W31 - Compositional and Multimodal Perception; Part VIII: W32 - Uncertainty Quantification for Computer Vision; W33 - Recovering 6D Object Pose; W34 - Drawings and Abstract Imagery: Representation and Analysis; W35 - Sign Language Understanding; W36 - A Challenge for Out-of-Distribution Generalization in Computer Vision; W37 - Vision With Biased or Scarce Data; W38 - Visual Object Tracking Challenge.
Computer Vision Eccv 2020
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Author : Andrea Vedaldi
language : en
Publisher: Springer Nature
Release Date : 2020-10-06
Computer Vision Eccv 2020 written by Andrea Vedaldi and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-10-06 with Computers categories.
The 30-volume set, comprising the LNCS books 12346 until 12375, constitutes the refereed proceedings of the 16th European Conference on Computer Vision, ECCV 2020, which was planned to be held in Glasgow, UK, during August 23-28, 2020. The conference was held virtually due to the COVID-19 pandemic. The 1360 revised papers presented in these proceedings were carefully reviewed and selected from a total of 5025 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.
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.
Foundation Models For Healthcare Innovations In Generative Ai Computer Vision Language Models And Multimodal Systems
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Author : Alberto Santamaria-Pang
language : en
Publisher: Frontiers Media SA
Release Date : 2025-12-15
Foundation Models For Healthcare Innovations In Generative Ai Computer Vision Language Models And Multimodal Systems written by Alberto Santamaria-Pang and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-12-15 with Science categories.
Artificial Intelligence (AI) has undergone remarkable advancements, revolutionizing fields such as general computer vision and natural language processing. These technologies, integral to the broader capabilities of AI, are increasingly relevant in the healthcare sector, particularly through the application of Generative AI and multimodal systems. Despite the potential of AI to significantly impact medical imaging and healthcare outcomes, its full integration faces unique challenges posed by the complex nature of medical and biomedical data. Recent studies have shown promising results in enhancing diagnostic accuracy and treatment outcomes through AI, yet there remain significant gaps in the seamless integration of these technologies into clinical practice. Current debates focus on the ethical implications, data privacy concerns, and the need for robust, context-aware AI models that can adapt to the dynamic nature of healthcare environments. Addressing these issues requires a concerted effort to develop innovative solutions that bridge the gap between technological advancements and practical healthcare applications. This Research Topic aims to explore innovative applications of foundation models in healthcare, with a particular focus on Generative AI, computer vision, and natural language processing. The main objectives include demonstrating how these technologies can enhance diagnostic accuracy, improve treatment outcomes, and optimize healthcare operations. Specific questions to be addressed include: How can generative models create synthetic datasets that enhance data availability and privacy? What are the best practices for integrating language and vision models to generate accurate clinical reports? How can zero-shot learning be effectively applied in healthcare to ensure robust model performance without extensive task-specific data? To gather further insights into the integration of AI in healthcare, we welcome articles addressing, but not limited to, the following themes: - Image Analysis from Macro to Nano: exploring foundation models for medical and biomedical image analysis in radiology and microscopy. - Generative AI and Synthetic Data: applying efficient generation models to create synthetic datasets for medical analysis, enhancing data availability and privacy. - Language–Vision Integration: utilizing data-driven, context-aware rendering techniques for optimizing language–vision AI to generate accurate clinical reports. - Zero-Shot Learning: demonstrating zero-shot learning in healthcare for robust model performance without extensive task-specific data. - Novel Evaluation Metrics and Benchmarks: introducing metrics inspired by holistic frameworks to evaluate the effectiveness and reliability of AI in medical contexts. - Technological Integration: implementing federated learning for secure, decentralized healthcare data analysis. - Model Drift and Monitoring: offering strategies for model drift detection and management, informed by the latest benchmarking methodologies.
Advances In Computer Graphics
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Author : Bin Sheng
language : en
Publisher: Springer Nature
Release Date : 2023-12-28
Advances In Computer Graphics written by Bin Sheng and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-12-28 with Computers categories.
This 4-volume set of LNCS 14495-14498 constitutes the proceedings of the 40th Computer Graphics International Conference, CGI 2023, held in Shanghai, China, August 28 – September 1, 2023. The 149 papers in this set were carefully reviewed and selected from 385 submissions. They are organized in topical sections as follows: Detection and Recognition; Image Analysis and Processing; Image Restoration and Enhancement; Image Attention and Perception; Reconstruction; Rendering and Animation; Synthesis and Generation; Visual Analytics and Modeling; Graphics and AR/VR; Medical Imaging and Robotics; Theoretical Analysis; Image Analysis and Visualization in Advanced Medical Imaging Technology; Empowering Novel Geometric Algebra for Graphics and Engineering.
Pattern Recognition Icpr International Workshops And Challenges
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Author : Alberto Del Bimbo
language : en
Publisher: Springer Nature
Release Date : 2021-03-04
Pattern Recognition Icpr International Workshops And Challenges written by Alberto Del Bimbo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-04 with Computers categories.
This 8-volumes set constitutes the refereed of the 25th International Conference on Pattern Recognition Workshops, ICPR 2020, held virtually in Milan, Italy and rescheduled to January 10 - 11, 2021 due to Covid-19 pandemic. The 416 full papers presented in these 8 volumes were carefully reviewed and selected from about 700 submissions. The 46 workshops cover a wide range of areas including machine learning, pattern analysis, healthcare, human behavior, environment, surveillance, forensics and biometrics, robotics and egovision, cultural heritage and document analysis, retrieval, and women at ICPR2020.