# Using \[deep-vision-processing library\] framework

**URL:** <https://discourse.processing.org/t/using-deep-vision-processing-library-framework/33328>\
**Category:** Libraries\
**Created:** [November 5, 2021, 11:30am UTC](https://discourse.processing.org/t/using-deep-vision-processing-library-framework/33328 "2021-11-05T11:30:08Z")\
**Posts on this page:** 1\
**Page:** 1

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**Author:** ![Yatish001](https://avatars.discourse-cdn.com/v4/letter/y/e0b2c6/32.png) [@Yatish001](https://discourse.processing.org/u/Yatish001)\
**Post date:** [November 5, 2021, 11:30am UTC](https://discourse.processing.org/t/using-deep-vision-processing-library-framework/33328/1 "2021-11-05T11:30:08Z")

</div>

I want to play a video only when a face is detected on live webcam and play another video if no face is detected.

I want to use this code from the Examples, but I am unable to understand the syntax.

\<\>import processing.video.Capture;

Capture cam;

DeepVision vision;  
CascadeClassifierNetwork network;  
ResultList detections;

public void setup() {  
size(640, 480, FX2D);  
colorMode(HSB, 360, 100, 100);

println(“creating network…”);  
vision = new DeepVision(this);  
network = vision.createCascadeFrontalFace();

println(“loading model…”);  
network.setup();

println(“setup camera…”);  
String cams = Capture.list();  
cam = new Capture(this, cams[0]);  
cam.start();  
}

public void draw() {  
background(55);

if (cam.available()) {  
cam.read();  
}

image(cam, 0, 0);  
detections = network.run(cam);

noFill();  
strokeWeight(2f);

stroke(200, 80, 100);  
for (ObjectDetectionResult detection : detections) {  
rect(detection.getX(), detection.getY(), detection.getWidth(), detection.getHeight());  
}

surface.setTitle("Face Recognition Test - FPS: " + Math.round(frameRate));  
}

> 

Here, in the code face detection happens inside the for loop. I want to do something like

if (face is detected){  
video1.play();  
} else {

video2.play();  
}

If I play one of the videos inside the for loop, I am not able to define the moment when no face is detected.