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Right now, there is only function to convert the color movie to greyscale:
@pims.pipeline
def grayscale(frame):
"""Converts a frame to grayscale."""
# This function is for use with pims pipelines, which expect RGB.
# For single frames with OpenCV, use cv2.cvtColor.
red = frame[:, :, 0]
green = frame[:, :, 1]
blue = frame[:, :, 2]
return (1/3.0) * red + (1/3.0) * green + (1/3.0) * blue
This is a simple way to greyscale but it won't work in every situation. For example, if I want to track green particles but not red particles or vice versa (ref: https://arxiv.org/pdf/1806.05760, page 5, Fig. 2), then I need flexibility in the greyscale function.
Maybe a fun and elegant way to do it would be to make sliders for R G and B. (This could be a new page instead of trying to fit it on an existing page.)
Then code it so that the three colors are proportionate to the sliders. (Note that they must be scaled before adding because PIMS will mod 256, which is super annoying.)
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