CPU 密集型任务和 IO 密集型任务分别选择多进程multiprocessing.Pool.map
和多线程库multiprocessing.dummy.Pool.map
import os import PIL from multiprocessing import Pool from PIL import Image SIZE = (75,75) SAVE_DIRECTORY = ‘thumbs‘ def get_image_paths(folder): return (os.path.join(folder, f) for f in os.listdir(folder) if ‘jpeg‘ in f) def create_thumbnail(filename): im = Image.open(filename) im.thumbnail(SIZE, Image.ANTIALIAS) base, fname = os.path.split(filename) save_path = os.path.join(base, SAVE_DIRECTORY, fname) im.save(save_path) if __name__ == ‘__main__‘: folder = os.path.abspath( ‘11_18_2013_R000_IQM_Big_Sur_Mon__e10d1958e7b766c3e840‘) os.mkdir(os.path.join(folder, SAVE_DIRECTORY)) images = get_image_paths(folder) pool = Pool() pool.map(creat_thumbnail, images) pool.close() pool.join()