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

from PIL import Image
print get_dominant_color(Image.open('logo.jpg'))