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

Product typeBook
Published inApr 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781800561625
Edition1st Edition
Languages
Python
Tools
PyTorch
Concepts
Computer Vision
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Author (1)
Van Vung Pham
Van Vung Pham
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Van Vung Pham

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 about Van Vung Pham

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Technical requirements

You should have completed Chapter 1 to have an appropriate development environment for Detectron2. All the code, datasets, and results are available in the GitHub repository of the book (under the folder named Chapter05) at https://github.com/PacktPublishing/Hands-On-Computer-Vision-with-Detectron2. It is highly recommended to download the code and follow along.

Important note

This chapter executes code on a Google Colab instance. You should either map a Google Drive folder and store the output in a mapped folder or download the output and save it for future use. Alternatively, connect these Google Colab notebooks to a local instance, if you have one, to keep the results in permanent storage and utilize better computation resources.

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Hands-On Computer Vision with Detectron2
Published in: Apr 2023Publisher: PacktISBN-13: 9781800561625
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Van Vung Pham

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 about Van Vung Pham

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