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Basically because HSV is not derived from a color awareness model like CIE-Lab is but in comparison to CIE-Lab defines more meaningful axis I wanted to build a custom annotator that turns the input RGB (it is RGB, right? Not openCVs BGR?) into CIE-LCH (Luminance, Chroma, Hue), a color awareness appropriate version of HSV. (Instead of a histogramm I calculate the median value for each channel, but that is not important here). openCV, unfortunately, does not provide a conversion to CIE-LCH, but scikit-image does. In principle everything works out, BUT for a 110 minute movie such as Il Divo with this custom annotator dvt requires 7h30m!!! Considering, that the demo project, on my computer, requires just 30-45 minutes to annotate everything it can (the color annotator and the dominant colors annotator included), I wondered if I got something completely wrong.
Basically because HSV is not derived from a color awareness model like CIE-Lab is but in comparison to CIE-Lab defines more meaningful axis I wanted to build a custom annotator that turns the input RGB (it is RGB, right? Not openCVs BGR?) into CIE-LCH (Luminance, Chroma, Hue), a color awareness appropriate version of HSV. (Instead of a histogramm I calculate the median value for each channel, but that is not important here). openCV, unfortunately, does not provide a conversion to CIE-LCH, but scikit-image does. In principle everything works out, BUT for a 110 minute movie such as Il Divo with this custom annotator dvt requires 7h30m!!! Considering, that the demo project, on my computer, requires just 30-45 minutes to annotate everything it can (the color annotator and the dominant colors annotator included), I wondered if I got something completely wrong.
My annotator looks like this:
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