要黑白蓝青绿黄红的各颜色在所有图片的占比

好的，针对您的需求，我可以为您提供以下修改过的代码示例：

import os
from PIL import Image

# 定义函数，计算图片各颜色总和占比
def calculate_color_ratio(image):
    # 获取图片像素点的 RGB 值
    pixels = image.load()
    width, height = image.size
    total_pixels = width * height

    # 初始化颜色总和
    black_sum = 0
    white_sum = 0
    blue_sum = 0
    cyan_sum = 0
    green_sum = 0
    yellow_sum = 0
    red_sum = 0

    # 遍历像素点，计算颜色总和
    for x in range(width):
        for y in range(height):
            r, g, b = pixels[x, y]

            # 判断像素点属于哪种颜色
            if r == g == b:
                if r <= 128:
                    black_sum += 1
                else:
                    white_sum += 1
            else:
                # 计算颜色总和
                if r > g and r > b:
                    red_sum += 1
                elif g > r and g > b:
                    green_sum += 1
                elif b > r and b > g:
                    blue_sum += 1
                elif r == g and r > b:
                    yellow_sum += 1
                elif r == b and r > g:
                    magenta_sum += 1
                elif g == b and g > r:
                    cyan_sum += 1

    # 计算颜色总和占比
    black_ratio = black_sum / total_pixels
    white_ratio = white_sum / total_pixels
    blue_ratio = blue_sum / total_pixels
    cyan_ratio = cyan_sum / total_pixels
    green_ratio = green_sum / total_pixels
    yellow_ratio = yellow_sum / total_pixels
    red_ratio = red_sum / total_pixels

    # 返回颜色总和占比
    return black_ratio, white_ratio, blue_ratio, cyan_ratio, green_ratio, yellow_ratio, red_ratio

# 定义函数，统计文件夹内所有图片的颜色总和占比
def calculate_folder_color_ratio(folder_path):
    # 获取文件夹内所有图片路径
    image_paths = [os.path.join(folder_path, file) for file in os.listdir(folder_path) if file.endswith(('jpg', 'jpeg', 'png', 'bmp'))]

    # 初始化颜色总和
    black_sum = 0
    white_sum = 0
    blue_sum = 0
    cyan_sum = 0
    green_sum = 0
    yellow_sum = 0
    red_sum = 0

    # 遍历图片，计算颜色总和
    for image_path in image_paths:
        # 打开图片
        image = Image.open(image_path)

        # 计算颜色总和
        black_ratio, white_ratio, blue_ratio, cyan_ratio, green_ratio, yellow_ratio, red_ratio = calculate_color_ratio(image)
        black_sum += black_ratio
        white_sum += white_ratio
        blue_sum += blue_ratio
        cyan_sum += cyan_ratio
        green_sum += green_ratio
        yellow_sum += yellow_ratio
        red_sum += red_ratio

    # 计算颜色总和占比
    total_images = len(image_paths)
    black_ratio = black_sum / total_images
    white_ratio = white_sum / total_images
    blue_ratio = blue_sum / total_images
    cyan_ratio = cyan_sum / total_images
    green_ratio = green_sum / total_images
    yellow_ratio = yellow_sum / total_images
    red_ratio = red_sum / total_images

    # 返回颜色总和占比
    return black_ratio, white_ratio, blue_ratio, cyan_ratio, green_ratio, yellow_ratio, red_ratio

# 测试函数
folder_path = './images'
black_ratio, white_ratio, blue_ratio, cyan_ratio, green_ratio, yellow_ratio, red_ratio = calculate_folder_color_ratio(folder_path)
print('Black ratio:', black_ratio)
print('White ratio:', white_ratio)
print('Blue ratio:', blue_ratio)
print('Cyan ratio:', cyan_ratio)
print('Green ratio:', green_ratio)
print('Yellow ratio:', yellow_ratio)
print('Red ratio:', red_ratio)

以上代码中，`calculate_color_ratio()` 函数用于计算单张图片中各颜色总和占比，`calculate_folder_color_ratio()` 函数用于统计文件夹内所有图片的各颜色总和占比。在判断像素点属于哪种颜色时，我们使用了较为简单的逻辑判断，可能不是非常准确，您可以根据实际情况进行修改。

希望对您有所帮助！