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Python Image Processing Cookbook

You're reading from   Python Image Processing Cookbook Over 60 recipes to help you perform complex image processing and computer vision tasks with ease

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Product type Paperback
Published in Apr 2020
Publisher Packt
ISBN-13 9781789537147
Length 438 pages
Edition 1st Edition
Languages
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Author (1):
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Sandipan Dey Sandipan Dey
Author Profile Icon Sandipan Dey
Sandipan Dey
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Toc

Table of Contents (11) Chapters Close

Preface 1. Image Manipulation and Transformation 2. Image Enhancement FREE CHAPTER 3. Image Restoration 4. Binary Image Processing 5. Image Registration 6. Image Segmentation 7. Image Classification 8. Object Detection in Images 9. Face Recognition, Image Captioning, and More 10. Other Books You May Enjoy

Object detection with Mask R-CNN

The Mask R-CNN algorithm (2017), by Girshick et al., includes a number of improvements compared with the Faster R-CNN algorithm for region-based object detection, with the following two primary contributions:

  • ROI Pooling is replaced with an ROI Align module (which is more accurate).
  • An additional branch is inserted (which receives the output from ROI Align, subsequently feeding it into two successive convolution layers. Output from the last convolutional layer forms the object mask) at the output of the ROI Align module.

The RoIAlign module provides a more precise correspondence between the regions of the feature map selected and those of the input image. Much more fine-grained alignment is needed for pixel-level segmentation, rather than just computing the bounding boxes. The following screenshot shows the architecture of Mask R-CNN:

In...

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