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Fix a couple of grammar typos
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@@ -39,7 +39,7 @@ In many cases, dealing with RGB values may not be ideal. Because of that, there
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are many other `color spaces`_ in which you can represent a color image. One
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popular color space is called HSV_, which represents hue (~the color),
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saturation (~colorfulness), and value (~brightness). For example, a color
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(hue) might be green, but it's saturation is how intense that green is---where
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(hue) might be green, but its saturation is how intense that green is---where
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olive is on the low end and neon on the high end.
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In some implementations, the hue in HSV goes from 0 to 360, since hues wrap
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@@ -69,7 +69,7 @@ Notice how the colors at the far left and far right are the same. That reflects
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the fact that the hues wrap around like the color wheel (see HSV_ for more
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info).
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Now, lets create a little utility function to take an RGB image and:
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Now, let's create a little utility function to take an RGB image and:
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1. Transform the RGB image to HSV
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2. Set the hue and saturation
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