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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
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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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Labeling the images

This chapter uses labelImg to perform data labeling for object detection tasks. This tool requires installation on the local computer. Therefore, if you downloaded your images using Google Colab to your Google Drive, you need to map or download these images to a local computer to perform labeling. Run the following snippet in a terminal on a local computer to install labelImg using Python 3 (if you are running Python 2, please refer to the labelImg website for a guide):

pip3 install labelImg

After installing, run the following snippet to start the tool, where [IMAGE_PATH] is an optional argument to specify the path to the image folder, and [PRE-DEFINED CLASS FILE] is another optional argument to indicate the path to a text file (*.txt) that defines a list of class labels (one per line):

labelImg [IMAGE_PATH] [PRE-DEFINED CLASS FILE]

For instance, after downloading/synchronizing the simple_images folder for the downloaded images in the previous steps...

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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