December 2018
Intermediate to advanced
158 pages
3h 58m
English
Content preview from Deep Learning with PyTorch Quick Start Guide
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Displaying an image
The CIFAR10 dataset object returns a tuple containing an image object and a number representing the label of the image. We see from the size of the image data, that each sample is a 3 x 32 x 32 tensor, representing three color values for each of the 322 pixels in the image. It is important to know that this is not quite the same format used for matplotlib. A tensor treats an image in the format of [color, height, width], whereas a numpy image is in the format [height, width, color]. To plot an image, we need to swap axes using the permute() function, or alternatively convert it to a NumPy array and using the transpose function. Note that we do not need to convert the image to a NumPy array, as matplotlib will display the ...
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