Question

我有一个python函数，它接受一个图像路径并输出true或false，具体取决于图像是否为黑色。我想在同一台机器上处理多个图像，如果其中一个图像不是黑色，则停止该过程。我在这里阅读了很多python，celery等的多处理程序，但我不知道从哪里开始。

Answer 1

我建议查看Pools以便轻松创建流程。如果你需要一些共享状态，在这种情况下会找到一个表示非黑色图像的布尔值，请查看Managers。

更新：这是我的意思的一个例子。

import multiprocessing.Manager as Manager
import multiprocessing.Pool as Pool

m = Manager()
p = Pool(processes=5)

state_info = m.dict()
state_info['image_found'] = False

def processImage(img):

    # ... Process Image ...

    if imageIsBlack(img):
        state_info['image_found'] = True
        p.terminate()

 p.apply(processImage, imageList)

 if state_info['image_found']:
     print 'There was a black image!!'
 else:
     print 'No black images were found.'

Answer 2

最后这对我很有用。从示例here复制了它。为了便于说明，我将_isImgNonBlack函数和图像序列替换为0和1的列表，其中0表示黑色图像，1表示非黑色图像。

import multiprocessing

def isImgNonBlack(result_queue, imgSeq):
    for img in imgSeq:
        # If a non-black is found put a result
        if img==1:
            result_queue.put(1)

    # else put a zero as the result
    result_queue.put(0)

if __name__ == '__main__':
    processs = []
    result_queue = multiprocessing.Queue()
    nbProc = 20

    # making a fake list of images with 
    # 10,000 0's follwed by a single 1
    images = [0 for n in range(10000)]
    images.append(1)

    for n in range(nbProc): # start processes crawling for the result
        process = multiprocessing.Process(target=isImgNonBlack, args=[result_queue, images])
        process.start()
        processs.append(process)
        print 'Starting Process : %s' % process

    result = result_queue.get() # waits until any of the proccess have `.put()` a result

    for process in processs: # then kill them all off
        process.terminate()

    # finally print the result
    print "Seq have a non black img: %s" % result

运行python多进程进行图像处理

2 个答案: