def detect_color_image(file, thumb_size=40, MSE_cutoff=200, adjust_color_bias=True):
    pil_img = Image.open(file)
    bands = pil_img.getbands()
    if bands == ('R','G','B') or bands== ('R','G','B','A'):
        thumb = pil_img.resize((thumb_size,thumb_size))
        SSE, bias = 0, [0,0,0]
        if adjust_color_bias:
            bias = ImageStat.Stat(thumb).mean[:3]
            bias = [b - sum(bias)/3 for b in bias ]
        for pixel in thumb.getdata():
            mu = sum(pixel)/3
            SSE += sum((pixel[i] - mu - bias[i])*(pixel[i] - mu - bias[i]) for i in [0,1,2])
        MSE = float(SSE)/(thumb_size*thumb_size)
        if MSE <= MSE_cutoff:
            print ("Grayscale - Moving")
            shutil.move(file_directory, "D:\lbpcascade_animeface-master\gray256")

        else:
            print ("Color\t\t\t"),
        print ("( MSE=",MSE,")")
    elif len(bands)==1:
        print ("Black and White"), bands
    else:
        print ("Unknown"), bands