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lots of edge detection and starting on image filters
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‎distribution/OpenCVPro-1/download/OpenCVPro-1.zip‎

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‎distribution/OpenCVPro-1/download/OpenCVPro.zip‎

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‎distribution/OpenCVPro-1/examples/FilterImages/FilterImages.pde‎

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import gab.opencvpro.*;
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import org.opencv.core.Mat;
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import org.opencv.imgproc.Imgproc;
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OpenCVPro thresholdFilter;
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PImage img, thresh;
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void setup() {
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thresholdFilter = new OpenCVPro(this, "test.jpg");
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size(thresholdFilter.width, thresholdFilter.height);
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img = opencv.getInputImage();
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}
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void draw() {
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scale(0.5);
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image(img, 0, 0);
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img
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}

‎distribution/OpenCVPro-1/examples/FilterImages/test.jpg‎

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‎distribution/OpenCVPro-1/examples/FindEdges/FindEdges.pde‎

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import gab.opencvpro.*;
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import java.awt.Rectangle;
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import org.opencv.core.Mat;
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import org.opencv.core.CvType;
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import org.opencv.imgproc.Imgproc;
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OpenCVPro cannyFilter, sobelFilter;
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PImage src, canny, sobel;
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OpenCVPro cannyFilter, scharrFilter, sobelFilter;
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PImage src, canny, scharr, sobel;
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void setup() {
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src = loadImage("test.jpg");
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size(src.width, src.height);
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cannyFilter = new OpenCVPro(this, src);
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scharrFilter = new OpenCVPro(this, src);
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sobelFilter = new OpenCVPro(this, src);
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size(cannyFilter.width, cannyFilter.height);
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//sobel = createImage(src.width, src.height, RGB);
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//sobel = sobelFilter.findSobelEdges(2,2);
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sobel = sobelFilter.findScharrX();
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canny = cannyFilter.findCannyEdges(20, 75);
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// Mat src = sobelFilter.getColorBuffer();
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// Mat dst = new Mat(src.height(), src.width(), src.type());
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//
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// Imgproc.Sobel(src, dst, -1, 1, 1);
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//Imgproc.Scharr(src, dst, -1, 1, 0);
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//
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//sobelFilter.toPImage(dst, sobel);
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//opencv.toPImage(opencv.findSobelEdges(20, 75), canny);
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noFill();
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stroke(0, 255, 0);
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strokeWeight(3);
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cannyFilter.findCannyEdges(20, 75);
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scharrFilter.findScharrX();
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sobelFilter.findSobelEdges(1,0);
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canny = cannyFilter.getOutputImage();
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// FIXME: need a better API for getting the gray image...
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sobel = createImage(src.width, src.height, RGB);
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sobelFilter.toPImage(sobelFilter.getBufferGray(), sobel);
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// FIXME: Why doesn't this work?
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// scharr = scharrFilter.getOutputImage();
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scharr = createImage(src.width, src.height, RGB);
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scharrFilter.toPImage(scharrFilter.getBufferColor(), scharr);
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}
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void draw() {
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pushMatrix();
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scale(0.5);
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image(src, 0, 0);
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image(canny,src.width,0);
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image(sobel,src.width, src.height);
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image(canny, src.width, 0);
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image(scharr, 0, src.height);
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image(sobel, src.width, src.height);
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popMatrix();
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text("Source", 10, 25);
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text("Canny", src.width/2 + 10, 25);
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text("Scharr", 10, src.height/2 + 25);
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text("Sobel", src.width/2 + 10, src.height/2 + 25);
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}
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‎distribution/OpenCVPro-1/index.html‎

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<h2>OpenCVPro</h2>
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<p>
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A library by <a href="http://gregborenstein.com">Greg Borenstein</a> for the <a href="http://www.processing.org" target="_blank">Processing</a> programming environment.<br>
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Last update, 04/09/2013.
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Last update, 04/10/2013.
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</p>
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<p>
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Computer vision with OpenCV based on the official OpenCV Java API.<br>
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<h2>Examples</h2>
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<p>Find a list of examples in the current distribution of OpenCVPro, or have a look at them by following the links below.</p>
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<ul>
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<li><a href="examples/FaceDetection/FaceDetection.pde">FaceDetection</a></li> <li><a href="examples/FindEdges/FindEdges.pde">FindEdges</a></li> <li><a href="examples/LoadAndDisplayImage/LoadAndDisplayImage.pde">LoadAndDisplayImage</a></li>
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<li><a href="examples/FaceDetection/FaceDetection.pde">FaceDetection</a></li> <li><a href="examples/FilterImages/FilterImages.pde">FilterImages</a></li> <li><a href="examples/FindEdges/FindEdges.pde">FindEdges</a></li> <li><a href="examples/LoadAndDisplayImage/LoadAndDisplayImage.pde">LoadAndDisplayImage</a></li>
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</ul>
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</div>
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‎distribution/OpenCVPro-1/reference/allclasses-frame.html‎

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<HTML>
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All Classes (Javadocs: OpenCVPro)
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‎distribution/OpenCVPro-1/reference/allclasses-noframe.html‎

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All Classes (Javadocs: OpenCVPro)
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‎distribution/OpenCVPro-1/reference/constant-values.html‎

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Constant Field Values (Javadocs: OpenCVPro)
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‎distribution/OpenCVPro-1/reference/deprecated-list.html‎

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Deprecated List (Javadocs: OpenCVPro)
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