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OpenCV 3 Computer Vision with Python Cookbook
book

OpenCV 3 Computer Vision with Python Cookbook

by Aleksei Spizhevoi, Aleksandr Rybnikov
March 2018
Beginner to intermediate
306 pages
9h 54m
English
Packt Publishing
Content preview from OpenCV 3 Computer Vision with Python Cookbook

How it works...

As you know, matrices and images in the OpenCV Python package are presented with NumPy arrays. For example, cv2.imread in the previous code gives a colorful image, which is a three-dimensional array, where all three dimensions correspond to height, width, and channels, respectively. It can be imagined as a two-dimensional matrix with height by width elements, and each element stores three values for each red, green, and blue channel. This order of dimensions can be encoded as the letters height, width, and channels (HWC), and data along the channels dimension is stored in the order blue, green, red.

Tensors are multidimensional matrices. Many Deep Learning models accept four-dimensional floating point tensors three for height, ...

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Publisher Resources

ISBN: 9781788474443Supplemental Content