image = cv2.imread(img_loc)

image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)

height, width, garbage = image.shape

length = 7

num_cols = int(width / length)

num_rows = int(height / length)

out_width = length * num_cols

out_height = length * num_rows

out_img = Image.new("RGB", (out_width, out_height))

draw = ImageDraw.Draw(out_img)

for i in range(int(num_rows)):

for j in range(int(num_cols)):

partial_image = image[int(i * length): min(int((i + 1) * length), height),

int(j * length): min(int((j + 1) * length), width),

:]

partial_avg_color = np.sum(np.sum(partial_image, axis=0), axis=0) / (length * length)

partial_avg_color = tuple(partial_avg_color.astype(np.int32).tolist())

draw.rectangle((int(j * length), int(i * length), min(int((j + 1) * length), width),

min(int((i + 1) * length), height)), fill=partial_avg_color)

cropped_img = out_img.getbbox()

f_img = out_img.crop(cropped_img)

return f_img