TypeError：无法在多线程处理中腌制_thread.lock对象

Question

我正在尝试通过多处理来加速OPENCV视频处理，但是队列中出现异常。

类管道，它获取图像和一些Kalman滤波器跟踪器，并返回包含跟踪的汽车，peds等的图像。

它在那里完成了所有计算。

错误：

  

TypeError：无法腌制_thread.lock对象

代码：

class DummyTask:
    def __init__(self, data):
        self.data = data
    def ready(self):
        return True
    def get(self):
        return self.data


if __name__ == "__main__":
    video_name = '2016-11-18_07-30-01.h264'

    cap = cv2.VideoCapture(video_name)

    det = detector.CarDetector()
    car_tracker = Sort_Algorithm.Sort()
    ped_tracker = Sort_Algorithm.Sort()
    df_region, df_line = load_filter()
    threadn = cv2.getNumberOfCPUs()
    pool = Pool(processes = 2)
    pending = Queue()
    threaded_mode = True

    while True:
        while pending.qsize() > 0:
            res = pending.get()
            cv2.imshow('video ', res)

        if  pending.qsize() < 2:
            ret, frame = cap.read()
            if threaded_mode:
                t1 = time.time()
                H = [-2.01134074616, -16.6502442427, -1314.05715739, -3.35391526592, -22.3546973012, 2683.63584335,
                     -0.00130731963137, -0.0396207582264, 1]
                matrix = np.reshape(H, (3, 3))
                dst = cv2.warpPerspective(frame.copy(), matrix, (frame.shape[1], frame.shape[0]))
                task = pool.apply_async(pipeline, (frame.copy(),car_tracker, ped_tracker,df_region, df_line, det, dst, matrix))

                cv2.imshow('dst', dst)
            else:
                task = DummyTask(pipeline,(frame.copy(),car_tracker, ped_tracker,df_region, df_line, det, dst, matrix))

            pending.put(task)
        ch = cv2.waitKey(1)
        if ch == ord(' '):
            threaded_mode = not threaded_mode
        if ch == 27:
            break