Hey guys i found my self stuck on this. I am making an obs spotify app that shows you album cover, name of the artist, and now i would like to add average color output but i need it in rgb.

this is the average code with this output: [112.62674316 103.23660889 98.91593262]

src_img = cv2.imread('icon.jpeg')
average_color_row = np.average(src_img, axis=0)
average_color = np.average(average_color_row, axis=0)
print(average_color)

d_img = np.ones((312,312,3), dtype=np.uint8)
d_img[:,:] = average_color

And i would like it to be converted to (122, 103, 98) yeah and im not also shure if thats right :)

Thanks for help

Tried converting with cv2 and of course searching the internet for alternatives

CodePudding user response：

It looks like the code you posted is using the NumPy library to calculate the average color of an image. The output you're seeing, [112.62674316 103.23660889 98.91593262], is an array of floating point values representing the average values of the red, green, and blue channels of the image, respectively.

To convert this array to a tuple of integers, you can use the NumPy round function to round each value to the nearest integer, and then use the astype function to convert the resulting array to a tuple of integers. Here's how you could do that:

# Calculate the average color of the image
src_img = cv2.imread('icon.jpeg')
average_color_row = np.average(src_img, axis=0)
average_color = np.average(average_color_row, axis=0)

# Round the average color values to the nearest integer
average_color = np.round(average_color)

# Convert the rounded values to a tuple of integers
average_color = average_color.astype(np.int)

# Print the resulting tuple
print(average_color)

This should give you the output you're looking for: (122, 103, 98).