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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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Using existing PointRend models

The steps for performing object instance segmentation using existing PointRend models are similar to that of performing object instance segmentation using existing Detectron2 models in the Detectron2 Model Zoo, as described in the previous chapter. Therefore, this section covers more of the differences. For PointRend, we need to clone the Detectron2 repository to use its configuration files from the PointRend project:

!git clone --branch https://github.com/facebookresearch/detectron2.git detectron2_repo

The repository is stored in the detectron2_repo folder in the current working directory. With this repository cloned, the code to generate the configuration is a little different:

# some other common import statements are removed here
from detectron2.projects import point_rend
config_file = "detectron2_repo/projects/PointRend/configs/InstanceSegmentation/pointrend_rcnn_X_101_32x8d_FPN_3x_coco.yaml"
checkpoint_url = "detectron2...
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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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