How can parallelize my object detection code?

The code in the example below works sequentially and is slow to detect objects. I want the algorithm to be able to detect them faster using parallel operation. How can I do that?

cam = webcam('name camera');
d1 = vision.CascadeObjectDetector('T_1.xml');
d1 = vision.CascadeObjectDetector('T_2.xml');
d1 = vision.CascadeObjectDetector('T_3.xml');

gcf
set(gcf, 'CurrentCharacter','@');
i = 1;

while 1
   image = snapshot(cam);
   detectedImg = image;

     bbox = step(detector1, image);
     detectedImage = insertShape(detectedImage,'Rectangle',bbox, 'LineWidth', 4, 'Color', 'red','Opacity',0.7);

     imshow(detectedImage);
     i = i+1;
     k=get(gcf, 'CurrentCharacter');
     if k ~= '@'
        break;
     end
  end
  clear('cam');
  close all;
  clear all;

[Florian Morsch]

Try to use tic / toc to see the times of the code. A lot of time is needed to display or draw images, so maybe you can save some time if you just speed up those operations.

From my experience the cascade object detector is pretty fast and dont use much computing time (depending on your needs of course). Mostly its the displaying and drawing into the found pictures which takes the most time).

Also on what resolution do you run those loops? If you scale your camera resolution down a bit the detection and image processing also works a lot faster.

[Sur moo]

I want to get The format of the code is parallel. Using a detector, it detects. One file The second detector also detects sequential files sequentially. such as

d1 = vision.CascadeObjectDetector ('T_1.xml');

d2 = vision.CascadeObjectDetector ('T_2.xml');

d3 = vision.CascadeObjectDetector ('T_3.xml');

But this is now.

d1 = vision.CascadeObjectDetector ('T_1.xml');

d1 = vision.CascadeObjectDetector ('T_2.xml');

d1 = vision.CascadeObjectDetector ('T_3.xml');

I would like to modify this code in parallel. THX