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

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Published inApr 2023
Reading LevelBeginner
PublisherPackt
ISBN-139781800561625
Edition1st Edition
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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.
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Annotation format conversions

Detectron2 has its data description built based on the COCO annotation format. In other words, it supports registering datasets using the COCO data annotation format. However, other data annotation formats are abundant, and you may download a dataset or use a labeling tool that supports another data format different from COCO. Therefore, this section covers the code snippets used to convert data from the popular Pascal VOC and YOLO formats to COCO style.

Important note

A statement that starts with an exclamation mark (!) means it is a Bash command to be executed in a Jupyter notebook (Google Colab) code cell. If you want to run it in a terminal, you can safely remove this exclamation mark and execute this statement.

By understanding the different data formats as described, it is relatively easy to write code to convert data from one format to another. However, this section uses the pylabel package to perform this conversion to speed up the development...

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Hands-On Computer Vision with Detectron2
Published in: Apr 2023Publisher: PacktISBN-13: 9781800561625

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