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episodes/05-creating-histograms.md

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@@ -74,7 +74,6 @@ Again, we use the `iio.imread()` function to load our image.
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Then, we convert the grayscale image of integer dtype, with 0-255 range, into
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a floating-point one with 0-1 range, by calling the function
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`ski.util.img_as_float`.
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We will keep working with images in the value range 0 to 1 in this lesson.
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We now use the function `np.histogram` to compute the histogram of our image
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which, after all, is a NumPy array:

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