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This is the “Code in Action” video for chapter 9 of Raspberry Pi Computer Vision Programming - Second Edition by Ashwin Pajankar, published by Packt. It includes the following topics:

0:13 Restoring damaged images using inpainting
0:27 Mean shift algorithm segmentation
1:18 K-means clustering and image quantization
2:03 Disparity map and depth estimation

You will learn the basics of hardware and software required for image processing and computer vision with Raspberry Pi and Python 3. You will have a look at all the major image processing, manipulation, and computer vision techniques and algorithms in detail using engaging examples. You will build a lot of real-life computer vision applications.

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Video created by Ashwin Pajankar

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