mirror of
https://github.com/PhotonVision/photonvision
synced 2026-06-22 01:11:40 +00:00
stated camera process and vision process
-added camera thread call in main -initial work on camera process class -initial work on vision process class
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@@ -1,4 +0,0 @@
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package Handlers.Vision;
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public class Camera {
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}
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56
Main/src/main/java/Handlers/Vision/CameraProcess.java
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56
Main/src/main/java/Handlers/Vision/CameraProcess.java
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package Handlers.Vision;
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import Classes.SettingsManager;
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import Objects.Pipeline;
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import edu.wpi.first.networktables.NetworkTable;
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import edu.wpi.first.networktables.NetworkTableInstance;
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import edu.wpi.first.cameraserver.CameraServer;
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import org.opencv.core.Mat;
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import org.apache.commons.math3.fraction.Fraction;
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import org.apache.commons.math3.util.FastMath;
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import org.opencv.core.MatOfPoint;
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import java.util.List;
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public class CameraProcess implements Runnable{
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private String CameraName;
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public CameraProcess(String CameraName){
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this.CameraName = CameraName;
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}
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@Override
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public void run() {
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//calling all classes
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CameraServer cs = CameraServer.getInstance();
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NetworkTableInstance networkTableInstance = NetworkTableInstance.getDefault();
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SettingsManager manager = SettingsManager.getInstance();
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VisionProcess visionProcess = new VisionProcess();
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//Setting up camera and network table
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var Table = networkTableInstance.getTable("/Chameleon-Vision/" + CameraName);
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var PipeLineEntry = Table.getEntry("Pipeline");
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var DriverModeEntry = Table.getEntry("Driver_Mode");
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var cv_sink = cs.getVideo(manager.UsbCameras.get(CameraName));
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int Width = manager.Cameras.get(CameraName).camVideoMode.width;
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int Height = manager.Cameras.get(CameraName).camVideoMode.heigh;
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var cv_publish = cs.putVideo(CameraName,Width,Height);
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//initial math setup for camera
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double DiagonalView = FastMath.toRadians(manager.Cameras.get(CameraName).FOV);
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Fraction AspectFraction = new Fraction(Width,Height);
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int HorizontalRatio = AspectFraction.getNumerator();
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int VerticalRatio = AspectFraction.getDenominator();
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double HorizontalView = FastMath.atan(FastMath.tan(DiagonalView/2) * (HorizontalRatio / DiagonalView)) * 2;
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double VerticalView = FastMath.atan(FastMath.tan(DiagonalView/2) * (VerticalRatio / DiagonalView)) * 2;
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double H_FOCAL_LENGTH = Width / (2 * FastMath.tan(HorizontalView /2));
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double V_FOCAL_LENGTH = Width / (2 * FastMath.tan(VerticalView /2));
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Mat mat = new Mat();
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long time;
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while (!Thread.interrupted()){
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Pipeline pipeline = manager.Cameras.get(CameraName).pipelines.get(manager.CamerasCurrentPipeline.get(CameraName));
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time = cv_sink.grabFrame(mat);
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Mat HSVImage = visionProcess.HSVThreshold(pipeline.hue,pipeline.saturation,pipeline.value,mat,pipeline.erode,pipeline.dilate);
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List<MatOfPoint> Contours = visionProcess.FindContours(HSVImage);
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}
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}
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}
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@@ -1,4 +1,32 @@
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package Handlers.Vision;
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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.List;
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public class VisionProcess {
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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(threshold,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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}
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