python自适应调整色彩饱和度

要自适应调整图片的色彩饱和度，可以使用Python的Pillow库。以下是一个示例代码：

from PIL import Image, ImageEnhance

def auto_adjust_saturation(image_path):
    # 打开图片
    image = Image.open(image_path)

    # 计算平均亮度
    pixels = image.load()
    width, height = image.size
    total_brightness = 0
    for y in range(height):
        for x in range(width):
            r, g, b = pixels[x, y]
            total_brightness += 0.299 * r + 0.587 * g + 0.114 * b
    average_brightness = total_brightness / (width * height)

    # 计算平均色彩饱和度
    total_saturation = 0
    for y in range(height):
        for x in range(width):
            r, g, b = pixels[x, y]
            gray = 0.299 * r + 0.587 * g + 0.114 * b
            saturation = 0 if gray == 0 else (max(r, g, b) - min(r, g, b)) / gray
            total_saturation += saturation
    average_saturation = total_saturation / (width * height)

    # 调整饱和度
    saturation_factor = average_saturation / 0.5
    saturation_factor = max(0, min(saturation_factor, 2))
    enhancer = ImageEnhance.Color(image)
    image = enhancer.enhance(saturation_factor)

    # 保存图片
    image.save('output.jpg')

# 示例用法
auto_adjust_saturation('input.jpg')

该代码会自适应计算输入图片的平均亮度和平均色彩饱和度，然后根据平均色彩饱和度调整饱和度，最终输出调整后的图片。你可以根据需要修改代码中的参数来调整饱和度调整的效果。