有没有办法提高opencv视频处理速度？ [复制]

out = cv2.VideoWriter(output_file, codec, fps, (width,height))

while video.isOpened():
    has_frame, image = video.read()
    if has_frame:
        image_in = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
        image_in = tf.expand_dims(image_in, 0)
        image_in = transform_images(image_in, FLAGS.size)

        boxes, scores, classes, nums = get_yolo_model()(image_in)

        image = draw_outputs(image, (boxes, scores, classes, nums), get_class_names())
        image = cv2.putText(
            image, 
            "", 
            (0, 30), 
            cv2.FONT_HERSHEY_COMPLEX_SMALL, 
            1, 
            (0, 0, 255),
            2
        )

        out.write(image)

        frame_count += 1
        print('[In progress...] Writing frame:', frame_count)
    else:
        break

有没有办法可以引入线程的概念来更快地处理视频？

我尝试过使用这个：如何提高 OpenCV cv2.VideoCapture(0).read() 的性能 https://stackoverflow.com/questions/54933801/how-to-increase-performance-of-opencv-cv2-videocapture0-read我尝试实例化__init__方法线程，但是，如何将它与读取 while 循环内帧的 while 循环连接起来。

以下是有用的教程：link1 https://www.pyimagesearch.com/2017/02/06/faster-video-file-fps-with-cv2-videocapture-and-opencv/ link2 https://www.pyimagesearch.com/2015/12/21/increasing-webcam-fps-with-python-and-opencv/