Odd numpy error with subtraction

[DreamingInsanity]

Ok. find_closest expects that rgb has shape (m, n) and color has shape (n,). In our case n = 3. The only way here is to investigate why rgb has shape (xxxx, ), i.e. why it is one dimensional array (it should be 2D array). Could you please provide minimal reproducible example here that leads to the problem?

Here's a very simplified bit of code. You will need a folder with some images (no more than 5 will work):

import numpy as np
import cv2
import glob

rgb, links = [], []

def find_closest(color, rgb):
    return rgb[np.argmin(np.abs(rgb - color).sum(axis=1))]

def get_average(image, path):       
	avg_col_per_row = np.average(image, axis=0)
	avg = np.average(avg_col_per_row, axis=0)

	rgb.append(avg.astype(int).tolist())
	links.append(path)

for l in glob.glob("your_image_path"):
	get_average(cv2.imread(l, cv2.IMREAD_UNCHANGED), str(l))

some_colour = [100,123,14]
print(find_closest(some_colour, np.array(rgb)))

In theory, this should make rgb a 2D array since it's an array, full of arrays with 3 integers inside.