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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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Setting pixel means and standard deviations

Input image pixels’ means and standard deviations are crucial in training Detectron2 models. Specifically, Detectron2 uses these values to normalize the input images. Detectron2 has two configuration parameters for these. They are cfg.MODEL.PIXEL_MEAN and cfg.MODEL.PIXEL_STD. By default, the common values for these two hyperparameters generated from the ImageNet dataset are [103.53, 116.28, 123.675] and [57.375, 57.120, 58.395]. These values are appropriate for most of the color images. However, this specific case has grayscale images with different values for pixel means and standard deviations. Therefore, producing these two sets of values from the training dataset would be beneficial. This task has two main stages: (1) preparing a data loader to load images and (2) creating a class to calculate running means and standard deviations.

Preparing a data loader

Detectron2’s data loader is iterable and can yield infinite...

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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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