Why did multiprocessing giving me EOFError : Ran out of Input Error?

Question

videoPlayerThreading 是我自己制作的库，基本上制作了 2 个 class，每个都使用线程来获取和显示帧。 objDect 也是我自己的库，在对象检测后基本上 return 帧。我收到 EOFError : Ran out of Input 错误，从回溯中我认为这是由多处理本身引起的，因此我没有 post 我的库，因为它太长了。谁能帮我解决它的问题？谢谢

from multiprocessing import Process
import sys

import videoPlayerThreading as vpt
from objDect import objDect as od


def main(videoSource):
    obd = od( videoSources = videoSource )
    
    getFrame = vpt.getFrames(videoSource).start()
    showFrame = vpt.showFrames(videoSource).start()

    while True:
        frame = getFrame.frame
        frame=Process(target=obd.predictYolo, args=(frame,)).start()
        showFrame.frame = frame

        if getFrame.doVideo == False or showFrame.doVideo == False:
            getFrame.stop()
            showFrame.stop()
            sys.exit()


if __name__=="__main__":
   main(0)

编辑：
这是显示帧和获取帧 class 它基本上只使用线程获取和显示帧。

class getFrames():
    def __init__(self, 
                 videoSource:Union[int,str]=0):
        self.stream = self.videoInit(videoSource)
        self.hasFrame, self.frame = self.stream.read()
        self.doVideo = True

    def videoInit(self,
                  videoSource:Union[int,str]):
        try:
            cap = cv2.VideoCapture(videoSource)
        except Exception as e:
            raise Exception(f"Video source error: {e}")

        return cap

    def start(self):
        Thread(target=self.getFrames, args=()).start()
        return self

    def getFrames(self):
        while self.doVideo:
            if not self.hasFrame:
                self.stop()
            else:
                (self.hasFrame, self.frame) = self.stream.read()

    def stop(self):
        self.doVideo = False
        self.stream.release()

class showFrames():
    def __init__(self, 
                 frame:cv2=None):
        self.frame = frame
        self.doVideo = True

    def start(self):
        Thread(target=self.showFrame, args=()).start()
        return self

    def showFrame(self):
        while self.doVideo:
            cv2.imshow("Video", self.frame)
            if cv2.waitKey(1) == ord("q"):
                self.doVideo = False

    def stop(self):
        self.doVideo = False

Answer 1

尽我所能理解您的程序逻辑，您需要如下内容。生成器函数 read_frames（可能需要也可能不需要更正）逐帧读取每一帧。主进程创建一个多处理池，并将每个输入帧传递给多处理池以供 obd.predictYolo 处理，并使用返回的帧设置 vpt.frame。这一直持续到没有更多的帧要处理或 showFrame.doVideo 为 False。总之，我把你的getFramesclass废掉了，在这里没用

我没有安装 OpenCV，也不知道这个包，也没有你的视频文件，所以把这作为你进一步调查的起点。

from multiprocessing.pool import Pool
import sys

import videoPlayerThreading as vpt
from objDect import objDect as od

def read_frames(videoSource:Union[int,str]=0):
    try:
        stream = cv2.VideoCapture(videoSource)
    except Exception as e:
        raise Exception(f"Video source error: {e}")
    while True:
        hasFrame, frame = stream.read()
        if not hasFrame:
            break
        yield frame


def main(videoSource):
    obd = od( videoSources = videoSource )
    showFrame = vpt.showFrames(videoSource).start()
    with Pool() as pool:
        for frame in pool.imap(obd.predictYolo, read_frames(videoSource)):
            showFrame.frame = frame
    
            if showFrame.doVideo is False:
                showFrame.stop()
            break

if __name__=="__main__":
   main(0)

Why did multiprocessing giving me EOFError : Ran out of Input Error?

Why did multiprocessing giving me EOFError : Ran out of Input Error?

python

multiprocessing

eoferror

python-3.x