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https://github.com/PhotonVision/photonvision
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Start filling in CVPipeline2d
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@@ -7,7 +7,7 @@ import org.opencv.core.Mat;
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* @param <R> Pipeline result type
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*/
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public abstract class CVPipeline<R> {
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private CVPipelineSettings settings;
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protected CVPipelineSettings settings;
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private Mat inputMat;
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protected Mat outputMat;
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@@ -0,0 +1,219 @@
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package com.chameleonvision.classabstraction.pipeline;
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import com.chameleonvision.util.MathHandler;
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import com.chameleonvision.vision.ImageFlipMode;
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import com.chameleonvision.vision.camera.CameraValues;
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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.Imgproc;
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import java.util.ArrayList;
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import java.util.List;
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@SuppressWarnings("WeakerAccess")
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public class CVPipeline2d extends CVPipeline<CVPipeline2d.CVPipeline2dResult> {
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private List<MatOfPoint> foundContours_ = new ArrayList<>();
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private List<MatOfPoint> filteredContours_ = new ArrayList<>();
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private List<MatOfPoint> deSpeckledContours_ = new ArrayList<>();
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private List<RotatedRect> groupedContours_ = new ArrayList<>();
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public CVPipeline2d(CVPipelineSettings settings) {
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super(settings);
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}
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@Override
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void initPipeline() {
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}
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@Override
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CVPipeline2d.CVPipeline2dResult runPipeline(Mat inputMat) {
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var shouldFlip = settings.flipMode.equals(ImageFlipMode.BOTH);
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var result = new CVPipeline2dResult();
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// flip the image
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if (shouldFlip) {
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Core.flip(inputMat, inputMat, -1);
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}
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foundContours_.clear();
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filteredContours_.clear();
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deSpeckledContours_.clear();
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groupedContours_.clear();
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// HSV threshold the image
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Scalar hsvLower = new Scalar(settings.hue.get(0).intValue(), settings.saturation.get(0).intValue(), settings.value.get(0).intValue());
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Scalar hsvUpper = new Scalar(settings.hue.get(1).intValue(), settings.saturation.get(1).intValue(), settings.value.get(1).intValue());
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hsvThreshold(inputImage, hsvThreshMat, settings.erode, settings.dilate);
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// Make sure we're BFR
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if (settings.isBinary) {
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Imgproc.cvtColor(hsvThreshMat, outputImage, Imgproc.COLOR_GRAY2BGR, 3);
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} else {
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inputImage.copyTo(outputImage);
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}
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// search for contours
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foundContours_ = findContours(hsvThreshMat);
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if (foundContours_.size() < 1) {
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return result;
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}
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// filter contours by area, ratio and extent
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filteredContours_ = filterContours(foundContours_, settings.area, settings.ratio, settings.extent);
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if (filteredContours_.size() < 1) {
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return result;
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}
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// reject "speckle" contours
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deSpeckledContours_ = rejectSpeckles(filteredContours_, settings.speckle.doubleValue());
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if (deSpeckledContours_.size() < 1) {
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return result;
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}
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// group targets
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groupedContours_ = groupTargets(deSpeckledContours_, settings.targetIntersection, settings.targetGroup);
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if (groupedContours_.size() < 1) {
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return result;
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}
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// sort targets down to our final target
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var finalRect = sortTargetsToOne(groupedContours_, settings.sortMode);
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result.RawPoint = finalRect;
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result.IsValid = true;
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switch (settings.calibrationMode) {
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case None:
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///use the center of the USBCamera to find the pitch and yaw difference
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result.CalibratedX = cameraValues.CenterX;
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result.CalibratedY = cameraValues.CenterY;
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break;
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case Single:
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// use the static point as a calibration method instead of the center
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result.CalibratedX = settings.point.get(0).doubleValue();
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result.CalibratedY = settings.point.get(1).doubleValue();
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break;
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case Dual:
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// use the calculated line to find the difference in length between the point and the line
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result.CalibratedX = (finalRect.center.y - settings.b) / settings.m;
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result.CalibratedY = (finalRect.center.x * settings.m) + settings.b;
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break;
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}
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result.Pitch = cameraValues.CalculatePitch(finalRect.center.y, result.CalibratedY);
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result.Yaw = cameraValues.CalculateYaw(finalRect.center.x, result.CalibratedX);
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result.Area = finalRect.size.area();
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drawContour(outputImage, finalRect);
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return result;
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}
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/**
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* HSV Threshold a given image. Copies the HSV Thresholded image to the [dst] matrix with the given
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* hsv settings and blur settings. Can also erode and dilate the image
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* @param srcImage the source image, which is not mutated
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* @param dst the destination image, which is mutated to save the result
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* @param hsvLower the lower bound for the HSV settings
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* @param hsvUpper the upper bound for the HSV settings
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* @param kernel the kernal used to erode/dilate the image
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* @param blur the size of the blur image
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* @param shouldErode if we should erode
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* @param shouldDilate if we should dilate
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*/
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public static void hsvThreshold(Mat srcImage, Mat dst, @NotNull Scalar hsvLower,
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@NotNull Scalar hsvUpper, Mat kernel, Size blur,
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boolean shouldErode, boolean shouldDilate) {
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Imgproc.cvtColor(srcImage, dst, Imgproc.COLOR_RGB2HSV, 3);
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Imgproc.blur(dst, dst, blur);
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Core.inRange(dst, hsvLower, hsvUpper, dst);
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if (shouldErode) {
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Imgproc.erode(dst, dst, kernel);
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}
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if (shouldDilate) {
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Imgproc.dilate(dst, dst, kernel);
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}
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dst.release();
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}
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/**
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* Find contours from an image
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* @param src the image we're looking at
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* @param binaryMat a temporary image
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* @param hierarchy the hierarchy of the image (just a new Mat();)
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* @param emptyList a list to fill with stuff. Will be cleared
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* @return the empty list, now full of contours
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*/
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public static List<MatOfPoint> findContours(Mat src, Mat binaryMat, Mat hierarchy, List<MatOfPoint> emptyList) {
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src.copyTo(binaryMat);
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emptyList.clear();
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Imgproc.findContours(binaryMat, emptyList, hierarchy, Imgproc.RETR_EXTERNAL, Imgproc.CHAIN_APPROX_TC89_L1);
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binaryMat.release();
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return emptyList;
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}
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public static List<MatOfPoint> filterContours(List<MatOfPoint> inputContours, List<Number> area, List<Number> ratio, List<Number> extent, CameraValues cameraValues) {
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for (MatOfPoint Contour : inputContours) {
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try {
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double contourArea = Imgproc.contourArea(Contour);
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double AreaRatio = (contourArea / cameraValues.ImageArea) * 100;
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double minArea = (MathHandler.sigmoid(area.get(0)));
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double maxArea = (MathHandler.sigmoid(area.get(1)));
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if (AreaRatio < minArea || AreaRatio > maxArea) {
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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;
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double minExtent = (double) (extent.get(0).doubleValue() * rect.size.area()) / 100;
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double maxExtent = (double) (extent.get(1).doubleValue() * rect.size.area()) / 100;
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if (targetFullness <= minExtent || contourArea >= maxExtent) {
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continue;
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}
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Rect bb = Imgproc.boundingRect(Contour);
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double aspectRatio = (bb.width / bb.height);
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if (aspectRatio < ratio.get(0).doubleValue() || aspectRatio > ratio.get(1).doubleValue()) {
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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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System.err.println("Error while filtering contours");
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e.printStackTrace();
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}
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}
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return filteredContours;
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}
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@Override
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Mat getOutputMat() {
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return null;
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}
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public static class CVPipeline2dSettings extends CVPipelineSettings {
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double dualTargetCalibrationM = 1;
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double dualTargetCalibrationB = 0;
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}
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public static class CVPipeline2dResult {
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public boolean hasTarget = false;
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public ArrayList<Target> targets = new ArrayList<>(); // targets sorted by likelihood
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public CVPipeline2dResult(ArrayList<Target> targets, boolean hasTarget) {
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this.targets = targets;
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this.hasTarget = hasTarget;
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}
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public CVPipeline2dResult() {
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}
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}
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public static class Target {
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public boolean isValid = false;
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public double calibratedX = 0.0;
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public double calibratedY = 0.0;
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public double pitch = 0.0;
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public double yaw = 0.0;
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public double area = 0.0;
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RotatedRect rawPoint;
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}
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}
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@@ -1,4 +0,0 @@
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package com.chameleonvision.classabstraction.pipeline;
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public class CVPipeline2dSettings extends CVPipelineSettings {
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}
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@@ -0,0 +1,33 @@
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package com.chameleonvision.classabstraction.pipeline;
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import org.opencv.core.Mat;
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public class CVPipeline3d extends CVPipeline<CVPipeline3d.CVPipeline3dResult> {
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public CVPipeline3d(CVPipelineSettings settings) {
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super(settings);
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}
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@Override
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void initPipeline() {
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}
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@Override
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CVPipeline3d.CVPipeline3dResult runPipeline(Mat inputMat) {
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return null;
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}
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@Override
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Mat getOutputMat() {
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return null;
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}
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public static class CVPipeline3dSettings extends CVPipelineSettings {
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}
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public static class CVPipeline3dResult {
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}
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}
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@@ -1,4 +0,0 @@
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package com.chameleonvision.classabstraction.pipeline;
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public abstract class CVPipeline3dSettings extends CVPipelineSettings {
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}
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@@ -1,14 +1,13 @@
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package com.chameleonvision.classabstraction.pipeline;
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import com.chameleonvision.vision.CalibrationMode;
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import com.chameleonvision.vision.SortMode;
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import com.chameleonvision.vision.TargetGroup;
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import com.chameleonvision.vision.TargetIntersection;
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import com.chameleonvision.vision.*;
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import java.util.Arrays;
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import java.util.List;
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@SuppressWarnings("ALL")
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public abstract class CVPipelineSettings {
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ImageFlipMode flipMode = ImageFlipMode.NONE;
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List<Number> hue = Arrays.asList(50, 180);
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List<Number> saturation = Arrays.asList(50, 255);
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List<Number> value = Arrays.asList(50, 255);
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@@ -22,9 +21,10 @@ public abstract class CVPipelineSettings {
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SortMode sortMode = SortMode.Largest;
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TargetGroup targetGroup = TargetGroup.Single;
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TargetIntersection targetIntersection = TargetIntersection.Up;
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double m = 1;
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double b = 0;
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List<Number> point = Arrays.asList(0,0);
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CalibrationMode calibrationMode = CalibrationMode.None;
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String nickname = "";
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double exposure = 50.0;
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double brightness = 50.0;
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}
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@@ -9,7 +9,7 @@ public class DriverVisionPipeline extends CVPipeline<Void> {
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@Override
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void initPipeline() {
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// set exposure/brightness of camera?
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// TODO set exposure/brightness of camera
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}
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@Override
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