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Hands-On Computer Vision with Detectron2

You're reading from  Hands-On Computer Vision with Detectron2

Product type Book
Published in Apr 2023
Publisher Packt
ISBN-13 9781800561625
Pages 318 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Van Vung Pham Van Vung Pham
Profile icon Van Vung Pham
LinkedIn
Van Vung Pham is a passionate research scientist in machine learning, deep learning, data science, and data visualization. He has years of experience and numerous publications in these areas. He is currently working on projects that use deep learning to predict road damage from pictures or videos taken from roads. One of the projects uses Detectron2 and Faster R-CNN to predict and classify road damage and achieve state-of-the-art results for this task. Dr. Pham obtained his PhD from the Computer Science Department, at Texas Tech University, Lubbock, Texas, USA. He is currently an assistant professor at the Computer Science Department, Sam Houston State University, Huntsville, Texas, USA.
See other products by Van Vung Pham

Table of Contents (20) Chapters

Preface Part 1: Introduction to Detectron2
Chapter 1: An Introduction to Detectron2 and Computer Vision Tasks Chapter 2: Developing Computer Vision Applications Using Existing Detectron2 Models Part 2: Developing Custom Object Detection Models
Chapter 3: Data Preparation for Object Detection Applications Chapter 4: The Architecture of the Object Detection Model in Detectron2 Chapter 5: Training Custom Object Detection Models Chapter 6: Inspecting Training Results and Fine-Tuning Detectron2’s Solvers Chapter 7: Fine-Tuning Object Detection Models Chapter 8: Image Data Augmentation Techniques Chapter 9: Applying Train-Time and Test-Time Image Augmentations Part 3: Developing a Custom Detectron2 Model for Instance Segmentation Tasks
Chapter 10: Training Instance Segmentation Models Chapter 11: Fine-Tuning Instance Segmentation Models Part 4: Deploying Detectron2 Models into Production
Chapter 12: Deploying Detectron2 Models into Server Environments Chapter 13: Deploying Detectron2 Models into Browsers and Mobile Environments Index Other Books You May Enjoy

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Authors (1)

Profile icon Van Vung Pham
LinkedIn
Van Vung Pham is a passionate research scientist in machine learning, deep learning, data science, and data visualization. He has years of experience and numerous publications in these areas. He is currently working on projects that use deep learning to predict road damage from pictures or videos taken from roads. One of the projects uses Detectron2 and Faster R-CNN to predict and classify road damage and achieve state-of-the-art results for this task. Dr. Pham obtained his PhD from the Computer Science Department, at Texas Tech University, Lubbock, Texas, USA. He is currently an assistant professor at the Computer Science Department, Sam Houston State University, Huntsville, Texas, USA.
Read more
See other products by Van Vung Pham

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