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    Home»Machine Learning»Story 9: Color Spaces Explained – What’s Beyond RGB? | by David khaldi | Feb, 2025
    Machine Learning

    Story 9: Color Spaces Explained – What’s Beyond RGB? | by David khaldi | Feb, 2025

    FinanceStarGateBy FinanceStarGateFebruary 8, 2025No Comments1 Min Read
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    Welcome again, shade wizards! At present we’re going to enter the magical world of shade areas.

    You’ve most likely heard about RGB, however have you learnt that there are different shade areas, too, which change the entire sport in viewing a picture?

    Think about the world in something apart from purple, inexperienced, and blue-hue, saturation, brightness, and even grayscale! Let’s decode these hidden shade dimensions!

    Each digital picture originates in RGB (Purple, Inexperienced, Blue).

    import cv2  

    # Load a picture
    picture = cv2.imread("picture.jpg")

    # Present the unique RGB picture
    cv2.imshow("RGB Picture", picture)
    cv2.waitKey(0)
    cv2.destroyAllWindows()

    🔴What’s Taking place?

    Every pixel has three values: (Purple, Inexperienced, Blue).

    All colours are created by mixing these three!

    • Professional Tip: Computer systems really retailer photographs in BGR order, not RGB! That is the default when loading a picture utilizing OpenCV.



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