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Open Source Computer Vision Library
https://opencv.org/
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71 lines
2.4 KiB
71 lines
2.4 KiB
5 years ago
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import java.util.Arrays;
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import org.opencv.core.*;
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import org.opencv.highgui.HighGui;
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import org.opencv.imgproc.Imgproc;
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import org.opencv.video.Video;
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import org.opencv.videoio.VideoCapture;
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class Meanshift {
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public void run(String[] args) {
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String filename = args[0];
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VideoCapture capture = new VideoCapture(filename);
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if (!capture.isOpened()) {
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System.out.println("Unable to open file!");
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System.exit(-1);
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}
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Mat frame = new Mat(), hsv_roi = new Mat(), mask = new Mat(), roi;
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// take the first frame of the video
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capture.read(frame);
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//setup initial location of window
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Rect track_window = new Rect(300, 200, 100, 50);
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// setup initial location of window
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roi = new Mat(frame, track_window);
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Imgproc.cvtColor(roi, hsv_roi, Imgproc.COLOR_BGR2HSV);
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Core.inRange(hsv_roi, new Scalar(0, 60, 32), new Scalar(180, 255, 255), mask);
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MatOfFloat range = new MatOfFloat(0, 256);
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Mat roi_hist = new Mat();
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MatOfInt histSize = new MatOfInt(180);
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MatOfInt channels = new MatOfInt(0);
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Imgproc.calcHist(Arrays.asList(hsv_roi), channels, mask, roi_hist, histSize, range);
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Core.normalize(roi_hist, roi_hist, 0, 255, Core.NORM_MINMAX);
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// Setup the termination criteria, either 10 iteration or move by atleast 1 pt
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TermCriteria term_crit = new TermCriteria(TermCriteria.EPS | TermCriteria.COUNT, 10, 1);
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while (true) {
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Mat hsv = new Mat() , dst = new Mat();
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capture.read(frame);
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if (frame.empty()) {
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break;
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}
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Imgproc.cvtColor(frame, hsv, Imgproc.COLOR_BGR2HSV);
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Imgproc.calcBackProject(Arrays.asList(hsv), channels, roi_hist, dst, range, 1);
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// apply meanshift to get the new location
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Video.meanShift(dst, track_window, term_crit);
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// Draw it on image
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Imgproc.rectangle(frame, track_window, new Scalar(255, 0, 0), 2);
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HighGui.imshow("img2", frame);
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int keyboard = HighGui.waitKey(30);
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if (keyboard == 'q' || keyboard == 27) {
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break;
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}
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}
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System.exit(0);
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}
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}
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public class MeanshiftDemo {
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public static void main(String[] args) {
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System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
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new Meanshift().run(args);
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}
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}
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