Here you will find all the necessary resources for the computer vision input.
...
Watch the presentation and write down questions and thoughts that come to your mind! We can discuss them later in the Zoom conference.
📼IAD-CV-Introduction Video
...
| Expand |
|---|
| title | Counting Black Pixels in an Image |
|---|
|
| Code Block |
|---|
| // import the following at the top of your sketch:
import org.opencv.core.*;
// run this after you have loaded the image to opencv
int count = Core.countNonZero(opencv.getGray()); |
|
| Expand |
|---|
| title | Full Sketch for Motion Detection |
|---|
|
| Code Block |
|---|
| import processing.video.*;
import gab.opencv.*;
import org.opencv.core.*;
Capture cam;
OpenCV opencv;
PImage last = null;
void setup() {
size(640, 480);
String[] inputDevices = Capture.list();
cam = new Capture(this, 640, 480, inputDevices[0]);
opencv = new OpenCV(this, 640, 480);
cam.start();
}
void draw() {
background(0);
if(cam.available())
cam.read();
opencv.loadImage(cam);
if(last != null) {
opencv.diff(last);
opencv.threshold(40);
}
last = cam.copy();
float count = Core.countNonZero(opencv.getGray());
float difference = count / (cam.width * cam.height) * 100;
if(difference > 10.0) {
println(millis() + "WARNING!");
}
image(opencv.getSnapshot(), 0, 0);
fill(0, 255, 255);
text("Difference: " + difference, 20, 20);
} |
|
Deep Vision Live Input (15:00 - 16:00)
...