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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 com.chameleonvision.settings.SettingsManager;
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import com.chameleonvision.vision.Pipeline;
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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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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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SettingsManager.CamerasCurrentPipeline.put(CameraName, SettingsManager.Cameras.get(CameraName).pipelines.keySet().toArray()[0].toString());
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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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double CenterX = ((double) Width / 2) - 0.5;
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double CenterY = ((double) Height/2) - 0.5;
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double CamArea = (double)(Width * Height);
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VisionProcess visionProcess = new VisionProcess(CenterX,CenterY,CamArea);
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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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if (mat.cols() !=0 && mat.rows() != 0) {
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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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// List<MatOfPoint> FilterdContours = visionProcess.FilterContours(Contours, pipeline.area, pipeline.ratio, pipeline.extent, pipeline.sort_mode, pipeline.target_intersection, pipeline.target_group);
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cv_publish.putFrame(mat);
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}
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}
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}
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}
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