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https://github.com/PhotonVision/photonvision
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Adjusted folder structure to sit under com.chameleonvision package
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package com.chameleonvision.vision.process;
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import org.jetbrains.annotations.NotNull;
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import org.opencv.core.*;
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import org.opencv.imgproc.*;
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import java.util.ArrayList;
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import java.util.HashMap;
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import java.util.List;
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public class VisionProcess {
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private HashMap<String, Integer>TargetGrouping= new HashMap<String, Integer>(){{
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put("Single",1);
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put("Dual",2);
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put("Triple",3);
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put("Quadruple",4);
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put("Quintuple",5);
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}};
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private double CamArea,CenterX, CenterY;
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VisionProcess(double CenterX, double CenterY, double CamArea){
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this.CenterX = CenterX;
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this.CenterY = CenterY;
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this.CamArea = CamArea;
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}
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private Mat Kernel = Imgproc.getStructuringElement(Imgproc.MORPH_RECT, new Size(5, 5));
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public Mat HSVThreshold(@NotNull List<Integer> hue, @NotNull List<Integer> saturation , @NotNull List<Integer> value, Mat image, boolean IsErode, boolean IsDilate){
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Mat hsv = new Mat();
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Imgproc.cvtColor(image,hsv,Imgproc.COLOR_BGR2HSV,3);
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new Scalar(hue.get(0),saturation.get(0),value.get(0));
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Mat threshold = new Mat();
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Core.inRange(hsv,new Scalar(hue.get(0),saturation.get(0),value.get(0)),new Scalar(hue.get(1),saturation.get(1),value.get(1)),threshold);
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if (IsErode){
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Imgproc.erode(threshold,threshold, Kernel);
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}
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if (IsDilate){
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Imgproc.dilate(threshold,threshold, Kernel);
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}
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return threshold;
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}
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public List<MatOfPoint> FindContours(Mat BinaryImage){
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List<MatOfPoint> Contours = new ArrayList<>();
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Imgproc.findContours(BinaryImage,Contours,new Mat(),Imgproc.RETR_EXTERNAL,Imgproc.CHAIN_APPROX_TC89_L1);
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return Contours;
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}
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public List<MatOfPoint> FilterContours(List<MatOfPoint> InputContours, List<Integer> area, List<Integer> ratio, List<Integer> extent, String SortMode,String TargetIntersection , String TargetGrouping){
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List<MatOfPoint> FilteredContours = new ArrayList<MatOfPoint>();
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for (MatOfPoint Contour : InputContours){
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try{
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var contourArea = Imgproc.contourArea(Contour);
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double targetArea = (contourArea / CamArea) * 100;
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if (targetArea >= area.get(0) || targetArea <= area.get(1)){
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continue;
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}
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var rect = Imgproc.minAreaRect(new MatOfPoint2f(Contour.toArray()));
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var targetFullness = (contourArea/rect.size.area())*100;
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if (targetFullness <= extent.get(0) || targetArea >= extent.get(1)){
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continue;
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}
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var aspectRatio = rect.size.width / rect.size.height;
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if (aspectRatio <= ratio.get(0) || aspectRatio >= ratio.get(1)){
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continue;
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}
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FilteredContours.add(Contour);
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} catch (Exception e){
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continue;
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}
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}
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return FilteredContours;
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}
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private List<MatOfPoint> GroupTargets(List<MatOfPoint> InputContours, String IntersectionPoint,String TargetGroup){
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if (!TargetGroup.equals("Single")){
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List<MatOfPoint> FinalCountours = new ArrayList<MatOfPoint>();
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for (var i = 0; i < InputContours.size(); i++){
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var FinalContour = InputContours.get(i);
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for (var c = 0; c < (TargetGrouping.get(TargetGroup)-1);c++){
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try{
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MatOfPoint firstContour = InputContours.get(i + c);
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MatOfPoint secoundContour = InputContours.get(i+c+1);
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if (IsIntersecting(firstContour,secoundContour, IntersectionPoint)){
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System.out.println("");
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}
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} catch (IndexOutOfBoundsException e){
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FinalContour = new MatOfPoint();
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break;
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}
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}
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}
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}
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return InputContours;
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}
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private boolean IsIntersecting(MatOfPoint ContourOne, MatOfPoint ContourTwo, String IntersectionPoint){
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Mat LineA = new Mat();
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Imgproc.fitLine(ContourOne,LineA,Imgproc.CV_DIST_L2,0,0.01,0.01);
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Mat LineB = new Mat();
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Imgproc.fitLine(ContourTwo,LineB,Imgproc.CV_DIST_L2,0,0.01,0.01);
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return true;
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}
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}
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