# Read an Image
img = Image.open('File Name')

img.convert('RGB')

width, height = img.size

for x in range(0, width):
    for y in range(0, height):
        r, g, b = img.getpixel((x,y))
        print(img.getpixel((x,y)))

(155, 173, 151), (155, 173, 151), (155, 173, 151), (155, 173, 151), (155, 173, 151) ...

r_total = 0
g_total = 0
b_total = 0

for x in range(0, width):
    for y in range(0, height):
        r, g, b = img.getpixel((x,y))
        r_total += r
        g_total += g
        b_total += b
print(r_total, g_total, b_total)

(29821623, 32659007, 33290689)

Divide total color value by count

# Import Module
from PIL import Image
 
def most_common_used_color(img):
    # Get width and height of Image
    width, height = img.size
 
    # Initialize Variable
    r_total = 0
    g_total = 0
    b_total = 0
 
    count = 0
 
    # Iterate through each pixel
    for x in range(0, width):
        for y in range(0, height):
            # r,g,b value of pixel
            r, g, b = img.getpixel((x, y))
 
            r_total += r
            g_total += g
            b_total += b
            count += 1
 
    return (r_total/count, g_total/count, b_total/count)
 
# Read Image
img = Image.open(r'C:\Users\HP\Desktop\New folder\mix_color.png')
 
# Convert Image into RGB
img = img.convert('RGB')
 
# call function
common_color = most_common_used_color(img)
 
print(common_color)
# Output is (R, G, B)

# Most Used color is Blue
(179.6483313253012, 196.74100602409638, 200.54631927710844)