import colorsys
def get_dominant_color(image):
颜色模式转换，以便输出rgb颜色值
image = image.convert('RGBA')
生成缩略图，减少计算量，减小cpu压力
image.thumbnail((200, 200))
max_score = None
dominant_color = None
for count, (r, g, b, a) in image.getcolors(image.size[0] * image.size[1]):
    # 跳过纯黑色
    if a == 0:
        continue
    saturation = colorsys.rgb_to_hsv(r / 255.0, g / 255.0, b / 255.0)[1]
    y = min(abs(r * 2104 + g * 4130 + b * 802 + 4096 + 131072) >> 13, 235)
    y = (y - 16.0) / (235 - 16)
    # 忽略高亮色
    if y > 0.9:
        continue
    # Calculate the score, preferring highly saturated colors.
    # Add 0.1 to the saturation so we don't completely ignore grayscale
    # colors by multiplying the count by zero, but still give them a low
    # weight.
    score = (saturation + 0.1) * count
    if score > max_score:
        max_score = score
        dominant_color = (r, g, b)
return dominant_color
 如何使用：