I'll use this picture as an example
I need to extract the RGB values and compare them with all of the color values to see if I can figure out which color is in it without hard coding it.
For example I get (4,5,0) and I determined this color = red. I don't know if those are the real values of red, but it's an example.
How can I extract the RGB values from the inside of the red box and how can I search for the color that corresponds to those values.
this is what I tried:
img = Image('car.png')
pixel = img.getPixel(120, 150)
print(pixel)
This retrieves the rgb on those dimensions, but I need an average around that whole box.
Please explain solution, thanks
Here's an idea of what you should do:
width = XX
height = YY
#crops to (x1,y1) to (x2,y2) when x2>x1 and y2>y1
frame = img[width/4:(width/4+width/2), height/4:(height/4+height/2)]
And then,
r = np.array(frame[:,:,0])
avg_r = np.average(r)
Repeat for G and B.