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import gab.opencv.*;
OpenCV opencv;
PImage threshold, blur, adaptive, gray;
void setup() {
PImage img = loadImage("test.jpg");
size(img.width, img.height);
// By default, OpenCV for Processing works with a gray
// version of the source image
opencv = new OpenCV(this, img);
// but you can tell it explicitly to use color instead:
opencv.useColor();
// A lot of OpenCV operations only work on grayscale images.
// But some do work in color, like threshold, blur, findCannyEdges, findChessboardCorners, etc.:
opencv.threshold(75);
threshold = opencv.getSnapshot();
opencv.blur(30);
blur = opencv.getSnapshot();
// If you try an operation that does not work in color
// it will print out an error message and leave the image unaffected
opencv.adaptiveThreshold(591, 1);
adaptive = opencv.getSnapshot();
// if you convert the image to gray then you can
// do gray-only operations
opencv.gray();
opencv.adaptiveThreshold(591, 1);
gray = opencv.getSnapshot();
}
void draw() {
scale(0.5);
image(threshold, 0, 0);
image(blur, threshold.width,0);
image(adaptive, 0,threshold.height);
image(gray, threshold.width, threshold.height);
}