Computer Vision

by GitHub

	import gab.opencv.*;
	import processing.video.*;
	import java.awt.Rectangle;
	Capture video;

	OpenCV opencv;

	ArrayList<Contour> contours;
	ArrayList<Contour> polygons;
	int threshold = 90;

	void setup() {
	size(640, 480);
	video = new Capture(this, 640, 480);
	opencv = new OpenCV(this, 640, 480);
	video.start();
	}

	void draw() {
	image(video, 0, 0);
	opencv.loadImage(video);
	opencv.gray();
	opencv.threshold(threshold);

	contours = opencv.findContours();
	// image(opencv.getOutput(), 0, 0);

	noFill();
	strokeWeight(2);

	for (Contour contour : contours) {
	stroke(0, 255, 0);

	contour.draw();


	/*
	stroke(255, 0, 0);
	beginShape();
	for (PVector point : contour.getPolygonApproximation ().getPoints()) {
	vertex(point.x, point.y);
	}
	endShape();*/

	Rectangle r = contour.getBoundingBox();
	stroke(255,0,0);
	rect(r.x, r.y, r.width, r.height);
	float cx = (float) r.getCenterX();
	float cy = (float)r.getCenterY();
	line(cx-5, cy-5, cx+5, cy+5);
	line(cx+5, cy-5, cx-5, cy+5);
	}
	println("threshold= "+threshold);
	}
	void captureEvent(Capture c) {
	c.read();
	}
	void keyPressed() {
	println(key);

	if (key == CODED) {
	if (keyCode == UP) {
	threshold ++;
	} else if (keyCode == DOWN) {
	if (threshold >0) {
	threshold --;
	}
	}
	}
	}

by GitHub

	import gab.opencv.*;
	import processing.video.*;

	Capture video;
	OpenCV opencv;

	void setup() {
	size(640, 480);
	video = new Capture(this, 640, 480);
	opencv = new OpenCV(this, 640, 480);
	opencv.startBackgroundSubtraction(5, 3, 0.5);
	video.start();
	}

	void draw() {
	image(video, 0, 0);
	opencv.loadImage(video);
	opencv.dilate();
	opencv.erode();
	opencv.updateBackground();
	noFill();
	stroke(255, 0, 0);
	strokeWeight(3);
	for (Contour contour : opencv.findContours()) {
	contour.draw();
	}
	}

	void captureEvent(Capture c) {
	c.read();
	}

by GitHub

	import gab.opencv.*;
	import processing.video.*;
	import java.awt.*;

	Capture video;
	OpenCV opencv;

	void setup() {
	size(640, 480);
	video = new Capture(this, 640/2, 480/2);
	opencv = new OpenCV(this, 640/2, 480/2);
	opencv.loadCascade(OpenCV.CASCADE_FRONTALFACE);

	video.start();
	}

	void draw() {
	scale(2);
	opencv.loadImage(video);

	image(video, 0, 0 );

	noFill();
	stroke(0, 255, 0);
	strokeWeight(3);
	Rectangle[] faces = opencv.detect();
	println(faces.length);

	for (int i = 0; i < faces.length; i++) {
	println(faces[i].x + "," + faces[i].y);
	rect(faces[i].x, faces[i].y, faces[i].width, faces[i].height);
	}
	}

	void captureEvent(Capture c) {
	c.read();
	}

by GitHub