有没有办法提高 opencv 视频处理的速度？

Question

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

有什么方法可以引入线程的概念来更快地处理视频？

我试过用这个：How to increase performance of OpenCV cv2.VideoCapture(0).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。

Answer 1

这里有有用的教程：link1 link2

有没有办法提高 opencv 视频处理的速度？

Is there a way to increase speed for video processing with opencv?

python

opencv

python-multithreading

video-processing