优化使得每检索50张照片，执行一次删除任务，并输出已删除照片数：import os from PIL import Image from multiprocessing import Pool def is_black_image(file_path): with Image.open(file_path) as img: pixels = list(img.getdata()) if all(sum(pixel) == 0 for pixel in pixels): return True else: return False def delete_black_images(file_path): if is_black_image(file_path): os.remove(file_path) print('{} has del'.format(file_path)) def batch_delete_black_images(folder_path): file_list = [] for f in os.listdir(folder_path): file_path = os.path.join(folder_path, f) if os.path.isfile(file_path): file_list.append(file_path) with Pool() as p: p.map(delete_black_images, file_list) if name == 'main': batch_delete_black_images(r'F:\H18\Dfinal640.tif\8-2')

为了每检索50张照片执行一次删除任务，并输出已删除照片数，您可以在 `batch_delete_black_images` 函数中添加一个计数器和一个列表，分别用于记录已删除的文件数和待删除的文件路径。具体地，您可以在函数中添加一个变量 `count` 和一个列表 `to_delete`，每次调用 `delete_black_images` 函数时，将文件路径添加到 `to_delete` 列表中，并将计数器加1。当计数器能够被50整除时，调用 `p.map` 函数删除 `to_delete` 列表中的所有文件，并将已删除文件数加到计数器中。下面是修改后的代码：

import os
from PIL import Image
from multiprocessing import Pool

def is_black_image(file_path):
    with Image.open(file_path) as img:
        pixels = list(img.getdata())
        if all(sum(pixel) == 0 for pixel in pixels):
            return True
        else:
            return False

def delete_black_images(file_path):
    if is_black_image(file_path):
        os.remove(file_path)
        return True
    return False

def batch_delete_black_images(folder_path):
    file_list = []
    count = 0
    to_delete = []
    for f in os.listdir(folder_path):
        file_path = os.path.join(folder_path, f)
        if os.path.isfile(file_path):
            file_list.append(file_path)
    with Pool() as p:
        for file_path in file_list:
            to_delete.append(file_path)
            count += 1
            if count % 50 == 0:
                results = p.map(delete_black_images, to_delete)
                deleted_count = sum(results)
                print('已删除 {} 张照片'.format(deleted_count))
                to_delete = []
                count = deleted_count
        if to_delete:
            results = p.map(delete_black_images, to_delete)
            deleted_count = sum(results)
            print('已删除 {} 张照片'.format(deleted_count))

if __name__ == '__main__':
    batch_delete_black_images(r'F:\H18\Dfinal640.tif\8-2')

注意，为了避免多个进程同时打印已删除照片数，我们只在每50次删除操作后打印已删除照片数。同时，为了避免最后一次删除操作没有达到50次而未能打印已删除照片数，我们在函数末尾添加了一个额外的 `if` 语句来处理剩余的待删除文件。