Hello guys, so, I have 4 vídeos and 4 colors and I want to set one color for each video , when i show the color on the webcam it plays a vídeo, can you help me? When the video is over the webcam continues. This is the code wich i want to change, i really need help, final project next week :( PS: Colors will be , green, yellow, red, blue and the videos will be named : video1.mp4,video2.mp4,video3.mp4,video4.p4
Code :
import gab.opencv.*;
import processing.video.*;
import java.awt.Rectangle;
Capture video;
OpenCV opencv;
PImage src;
ArrayList<Contour> contours;
// <1> Set the range of Hue values for our filter
//ArrayList<Integer> colors;
int maxColors = 4;
int[] hues;
int[] colors;
int rangeWidth = 10;
PImage[] outputs;
int colorToChange = -1;
void setup() {
video = new Capture(this, 640, 480);
opencv = new OpenCV(this, video.width, video.height);
contours = new ArrayList<Contour>();
size(640,480, P2D);
// Array for detection colors
colors = new int[maxColors];
hues = new int[maxColors];
outputs = new PImage[maxColors];
video.start();
}
void draw() {
background(150);
if (video.available()) {
video.read();
}
// <2> Load the new frame of our movie in to OpenCV
opencv.loadImage(video);
// Tell OpenCV to use color information
opencv.useColor();
src = opencv.getSnapshot();
// <3> Tell OpenCV to work in HSV color space.
opencv.useColor(HSB);
detectColors();
// Show images
image(src, 0, 0);
for (int i=0; i<outputs.length; i++) {
if (outputs[i] != null) {
image(outputs[i], width-src.width/4, i*src.height/4, src.width/4, src.height/4);
noStroke();
fill(colors[i]);
rect(src.width, i*src.height/4, 30, src.height/4);
}
}
// Print text if new color expected
textSize(20);
stroke(255);
fill(255);
if (colorToChange > -1) {
text("click to change color " + colorToChange, 10, 25);
} else {
text("press key [1-4] to select color", 10, 25);
}
displayContoursBoundingBoxes();
}
//////////////////////
// Detect Functions
//////////////////////
void detectColors() {
for (int i=0; i<hues.length; i++) {
if (hues[i] <= 0) continue;
opencv.loadImage(src);
opencv.useColor(HSB);
// <4> Copy the Hue channel of our image into
// the gray channel, which we process.
opencv.setGray(opencv.getH().clone());
int hueToDetect = hues[i];
//println("index " + i + " - hue to detect: " + hueToDetect);
// <5> Filter the image based on the range of
// hue values that match the object we want to track.
opencv.inRange(hueToDetect-rangeWidth/2, hueToDetect+rangeWidth/2);
//opencv.dilate();
opencv.erode();
// TO DO:
// Add here some image filtering to detect blobs better
// <6> Save the processed image for reference.
outputs[i] = opencv.getSnapshot();
}
// <7> Find contours in our range image.
// Passing 'true' sorts them by descending area.
if (outputs[0] != null) {
opencv.loadImage(outputs[0]);
contours = opencv.findContours(true,true);
}
}
void displayContoursBoundingBoxes() {
for (int i=0; i<contours.size(); i++) {
Contour contour = contours.get(i);
Rectangle r = contour.getBoundingBox();
if (r.width < 20 || r.height < 20)
continue;
stroke(255, 0, 0);
fill(255, 0, 0, 150);
strokeWeight(2);
rect(r.x, r.y, r.width, r.height);
}
}
//////////////////////
// Keyboard / Mouse
//////////////////////
void mousePressed() {
if (colorToChange > -1) {
color c = get(mouseX, mouseY);
println("r: " + red(c) + " g: " + green(c) + " b: " + blue(c));
int hue = int(map(hue(c), 0, 255, 0, 180));
colors[colorToChange-1] = c;
hues[colorToChange-1] = hue;
println("color index " + (colorToChange-1) + ", value: " + hue);
}
}
void keyPressed() {
if (key == '1') {
colorToChange = 1;
} else if (key == '2') {
colorToChange = 2;
} else if (key == '3') {
colorToChange = 3;
} else if (key == '4') {
colorToChange = 4;
}
}
void keyReleased() {
colorToChange = -1;
}