Humans can distinguish about 10 million colors.
To perceive them, you require something known as a color palette.
A color palette contains the tools to display the full range of colors visible to the human eye.
Ultimately, your box encodes all the different shades you see on your screen using a particular format.
The OpenCV and NumPy Module
you might analyze images and videos using OpenCV.
It is free, open source, simple to use, and packed with helpful libraries.
These provide techniques for classifying, locating, and tracking objects in both two and three dimensions.
NumPynumerical Pythonis a module you’ve got the option to use for data analysis and scientific computing.
It provides n-dimensional array objects as well asmathematical operationsthat aid in the manipulation of these arrays.
you’re free to then use NumPy to perform data analysis on the processed image.
Begin by importing the OpenCV and NumPy modules.
Define a function namedemptyfunction()that contains the pass statement.
The pass statement acts as a placeholder for code it’s possible for you to write in the future.
This is particularly useful with functions like createTrackbar, which youll use later.
It requires a valid callback function and you might pass emptyFunction as a placeholder for now.
you might do this using OpenCV’screateTrackbar()function.
Firstly, pass the label as Red, Blue, or Green.
The third parameter is the minimum limit of the track bar, 0 in this case.
The fourth parameter specifies the maximum value, which is 255 for a 24-bit color value.
The fifth and final parameter is a callback function which createTrackbar requires a valid function for.
This is why you created emptyFunction earlier, to act as a placeholder.
As the image contains a three-dimensional array of zeros, the program displays a black screen initially.
Repeat this step for the three separate color components, blue, green, and red.
Use the slice operator to assign the three values to the image array.
The track bars move from a range of 0 to 255.
The resulting output color is a shade of orange/red.
In addition, the terminal window displays the color values as 0 69 255.
The future of computer vision is promising.
