Hands-on computer vision with Detectron2: develop object detection and segmentation models with a code and visualization approach
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 us...
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| Weitere beteiligte Personen: | |
| Format: | Elektronisch E-Book |
| Sprache: | Englisch |
| Veröffentlicht: |
Birmingham, UK
Packt Publishing Ltd.
2023
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| Ausgabe: | 1st edition. |
| Schlagwörter: | |
| Links: | https://learning.oreilly.com/library/view/-/9781800561625/?ar |
| Zusammenfassung: | 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. |
| Beschreibung: | Includes index |
| Umfang: | 1 Online-Ressource (318 Seiten) illustrations |
| ISBN: | 9781800566606 1800566603 9781800561625 |
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| id | ZDB-30-ORH-092524133 |
| illustrated | Illustrated |
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| isbn | 9781800566606 1800566603 9781800561625 |
| language | English |
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| spelling | Pham, Van Vung VerfasserIn aut Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach Van Vung Pham ; foreword by Tommy Dang 1st edition. Birmingham, UK Packt Publishing Ltd. 2023 1 Online-Ressource (318 Seiten) illustrations Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Includes index 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. Computer vision Vision par ordinateur Dang, Tommy MitwirkendeR ctb |
| spellingShingle | Pham, Van Vung Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach Computer vision Vision par ordinateur |
| title | Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach |
| title_auth | Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach |
| title_exact_search | Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach |
| title_full | Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach Van Vung Pham ; foreword by Tommy Dang |
| title_fullStr | Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach Van Vung Pham ; foreword by Tommy Dang |
| title_full_unstemmed | Hands-on computer vision with Detectron2 develop object detection and segmentation models with a code and visualization approach Van Vung Pham ; foreword by Tommy Dang |
| title_short | Hands-on computer vision with Detectron2 |
| title_sort | hands on computer vision with detectron2 develop object detection and segmentation models with a code and visualization approach |
| title_sub | develop object detection and segmentation models with a code and visualization approach |
| topic | Computer vision Vision par ordinateur |
| topic_facet | Computer vision Vision par ordinateur |
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