Created
January 3, 2016 08:56
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Minimal code for rendering a numpy array as an image in a Jupyter notebook in memory. Borrowed from the Deep Dream notebook.
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| import PIL.Image | |
| from cStringIO import StringIO | |
| import IPython.display | |
| import numpy as np | |
| def showarray(a, fmt='png'): | |
| a = np.uint8(a) | |
| f = StringIO() | |
| PIL.Image.fromarray(a).save(f, fmt) | |
| IPython.display.display(IPython.display.Image(data=f.getvalue())) |
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It interpolates by default. From the docs "The number of pixels used to render an image is set by the Axes size and the dpi of the figure. This can lead to aliasing artifacts when the image is resampled because the displayed image size will usually not match the size of X".
Just a lot of nonsense to wade through when you just want to see a faithful representation of an image array