有没有办法用opencv提高视频处理速度? [英] Is there a way to increase speed for video processing with opencv?

问题描述

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吗?

Is there a way I can introduce the concept of threading to process the video faster?

我尝试使用这个:如何提高性能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 循环内的帧的 while 循环连接起来.

I have tried to use this: How to increase performance of OpenCV cv2.VideoCapture(0).read() I tried instantiating __init__ method Threading, however, how do I connect it with the while loop that reads the frames inside my while loop.

推荐答案

这里有一些有用的教程:link1 link2

Here are useful tutorials: link1 link2

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