curious about red shift loop implementation

[1mike12]

Curious why the new_avg_r starts off as the correct avg red of the input image, but then gets updated as the sum of all colors?

new_avg_r = np.sum(shifted)

IE why isn't the code this:

    while(new_avg_r < MIN_AVG_RED):

        shifted = hue_shift_red(avg_mat, hue_shift)
        new_avg_r = np.mean(shifted[..., 0]) # <-----
        hue_shift += 1
        if hue_shift > MAX_HUE_SHIFT:
            new_avg_r = MIN_AVG_RED

[bornfree]

Sorry it's been a while since I edited this repo.
Give me a couple of days to refresh my knowledge of the code and get back.