视频保存问题

zaq98766

1. ##### following are added for camera demo####
   
2. cap = cv2.VideoCapture(r'E:\SSD-Tensorflow-master\Video\input\1.mp4')
   
3. fps = cap.get(cv2.CAP_PROP_FPS)
   
4. size = (int(cap.get(cv2.CAP_PROP_FRAME_WIDTH)), int(cap.get(cv2.CAP_PROP_FRAME_HEIGHT)))
   
5. fourcc = cap.get(cv2.CAP_PROP_FOURCC)
   
6. #fourcc = cv2.CAP_PROP_FOURCC(*'CVID')
   
7. print('fps=%d,size=%r,fourcc=%r'%(fps,size,fourcc))
   
8. delay=30/int(fps)
   
9. 
   
10. 
    
11. while(cap.isOpened()):
    
12.       ret,frame = cap.read()
    
13.       if ret==True:
    
14. #          image = Image.open(image_path)
    
15. #          gray = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY)
    
16.           image = frame
    
17.           # the array based representation of the image will be used later in order to prepare the
    
18.           # result image with boxes and labels on it.
    
19.           image_np = image
    
20. #          image_np = load_image_into_numpy_array(image)
    
21.           # Expand dimensions since the model expects images to have shape: [1, None, None, 3]
    
22.           image_np_expanded = np.expand_dims(image_np, axis=0)
    
23.           # Actual detection.
    
24.           rclasses, rscores, rbboxes =  process_image(image_np)
    
25.           # Visualization of the results of a detection.
    
26.           visualization_camera.bboxes_draw_on_img(image_np, rclasses, rscores, rbboxes)
    
27. #          plt.figure(figsize=IMAGE_SIZE)
    
28. #          plt.imshow(image_np)
    
29.           cv2.imshow('frame',image_np)
    
30.           cv2.waitKey(np.uint(delay))
    
31.           print('Ongoing...')
    
32.       else:
    
33.           break
    
34. cap.release()
    
35. cv2.destroyAllWindows()
    

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我想将这段显示的视频保存下来，请问应该怎么做

zaq98766

我好像知道了