Page Comparison

Here you will find all the necessary resources for the computer vision input.

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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

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https://zhdk.zoom.us/j/4710337215

• Technical Input

• Was it possible to follow?

OpenCV (13:00 - 15:00)

Getting deeper into computer vision by using OpenCV, a framework to analyse images with traditional computer vision algorithms.

Task 4

Use opencv to track the brightest spot.

• opencv.blur(10);

• PVector location = opencv.max();

opencv.loadImage(cam);

// process
opencv.blur(10);
PVector location = opencv.max();

image(opencv.getSnapshot(), 0, 0);

noFill();
stroke(100, 255, 80);
circle(location.x, location.y, 10);

Task 5

Write your own sketch that is able to detect motion! Use either background subtraction, image difference or your own algorithm.

How will you notify yourself?

// 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());

Deep Vision Live Input (15:00 - 16:00)

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