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Key benefits

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

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.

Who is this book 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.

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

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Colour book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

$59.99

Hands-On Computer Vision with Detectron2

$44.99

$43.99

Total $ 148.97

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Amazon verified reviews

My May 31, 2024

Covering everything from setting up environments to deploying models, this comprehensive guide to Detectron2 is invaluable for someone interested in computer vision like me. With practical examples and clear explanations, it equips me with the knowledge and tools to tackle real-world challenges effectively. I'm a beginner in computer vision with deep learning, this book provides the insight needed to leverage Detectron2's power in my projects.

Subscriber review

Albert May 30, 2024

An absolute gem for anyone venturing into the realm of computer vision, this book meticulously guides you through the intricacies of Detectron2, rendering complex concepts digestible and practical. From setting up environments to deploying models into various environments, each chapter is a well-crafted journey through the landscape of modern computer vision. What truly sets this book apart is its balance between theoretical understanding and hands-on application, offering a comprehensive understanding of Detectron2's architecture, data preparation techniques, model training, and deployment strategies. Whether you're a novice eager to delve into the world of computer vision or a seasoned practitioner seeking to refine your skills, this book serves as an indispensable companion, earning my unequivocal five-star rating!

MDPT May 30, 2024

"Hands-On Computer Vision with Detectron2" is an outstanding resource for mastering computer vision with Facebook's cutting-edge framework. The book seamlessly combines theory and practice, guiding readers through data preparation, model training, fine-tuning, and deployment. It covers essential topics like data annotation, image augmentation, and exporting models to formats like TorchScript and ONNX, making advanced concepts accessible. The inclusion of real-life projects and practical deployment guidance, including mobile and edge devices, makes this book invaluable for both beginners and experienced practitioners. It's a comprehensive, insightful, and highly recommended read for anyone in the field.

Van Vung May 30, 2024

A great book for starting with modern computer vision. It also helps me learn techniques related to other model architecture like YOLO easier after grasping the important concepts here.

Julia Le Jun 11, 2024

This book covers the basics of computer vision, with quick tutorials to get started with detection and segmentation. It then covers the steps needed to train custom computer vision applications and provides techniques to fine-tune detection and segmentation models. I also find the chapters for deployment insightful and helpful in developing real-world applications. The strength of this book is that it provides plenty of codes and visualizations to explain the difficult concepts in computer vision in an easy way. I hope to have a similar book for YOLO. Anyway, understanding these concepts in this book helps learners to understand the main concepts in computer vision and be able to develop and optimizer other computer vision families such as YOLO. Still, if we have a similar book for YOLO, it would be excellent.

Amazon Verified review

Hands-On Computer Vision with Detectron2: Develop object detection and segmentation models with a code and visualization approach

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