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How to get the color values from the Raspberry Pi's camera in a Python script?
I'm working on a script which accesses the camera of a Raspberry Pi and I have already acquired video and audio from it. Now I need to know the color of some elements of the image (i.e. their red, green and blue values). Here is a sample image from the camera:
As can be seen, the red of the water doesn't have a constant value but it changes depending on the intensity of the light it reflects. I would like to be able to get its red value (the one for the blue wave). Is there any way to do this in Python?
A:
I don't think there's an API for this (as @yap suggests in a comment), so I'm copying a solution I implemented for an Arduino project a while back. It works like this:
Create a resized copy of the image in the target color space, on the same resolution (this is to reduce noise in the conversion). Convert the copy into a grayscale image. If you want the R, G and B components extracted, you can create a Numpy array from the converted image and use numpy.transpose to get to them. Count how many red pixels you have in the copy. Then for each red pixel, look at the pixel with the smallest RGB value in the copy. Use the RG and BG values to convert the red value in the pixel that you found to a hue value in the HSV color space. Use the H value and do a simple division of the HSV pixel with the average of all the pixels in the copy.
The hardest part of the entire operation is step 5, but once you have the hue values, you have the R, G and B values for each pixel. Edit: The actual code is available here. I wrote it in response to a similar question and I thought it might be useful for you. I used it for a project and it worked fine.
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