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https://github.com/PhotonVision/photonvision
synced 2026-06-20 00:51:41 +00:00
Refactor member variables and functions to start with lowercase letters
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@@ -3,7 +3,6 @@ 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 com.chameleonvision.vision.camera.Camera;
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import com.chameleonvision.web.Server;
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import com.chameleonvision.web.ServerHandler;
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import edu.wpi.cscore.VideoException;
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import edu.wpi.first.networktables.*;
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@@ -31,14 +30,14 @@ public class VisionProcess implements Runnable {
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private Pipeline currentPipeline;
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private CVProcess cvProcess;
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// pipeline process items
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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<RotatedRect> GroupedContours = new ArrayList<>();
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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<RotatedRect> groupedContours = new ArrayList<>();
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private Mat cameraInputMat = new Mat();
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private Mat hsvThreshMat = new Mat();
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private Mat streamOutputMat = new Mat();
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private Scalar contourRectColor = new Scalar(255, 0, 0);
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private long TimeStamp = 0;
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private long timeStamp = 0;
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public VisionProcess(Camera processCam) {
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camera = processCam;
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@@ -53,8 +52,8 @@ public class VisionProcess implements Runnable {
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ntDistanceEntry = ntTable.getEntry("distance");
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ntTimeStampEntry = ntTable.getEntry("timestamp");
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ntValidEntry = ntTable.getEntry("is_valid");
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ntDriverModeEntry.addListener(this::DriverModeListener, EntryListenerFlags.kUpdate);
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ntPipelineEntry.addListener(this::PipelineListener, EntryListenerFlags.kUpdate);
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ntDriverModeEntry.addListener(this::driverModeListener, EntryListenerFlags.kUpdate);
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ntPipelineEntry.addListener(this::pipelineListener, EntryListenerFlags.kUpdate);
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ntDriverModeEntry.setBoolean(false);
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ntPipelineEntry.setNumber(camera.getCurrentPipelineIndex());
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@@ -63,7 +62,7 @@ public class VisionProcess implements Runnable {
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cameraProcess = new CameraProcess(camera);
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}
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private void DriverModeListener(EntryNotification entryNotification) {
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private void driverModeListener(EntryNotification entryNotification) {
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if (entryNotification.value.getBoolean()) {
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camera.setExposure(25);
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camera.setBrightness(15);
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@@ -74,7 +73,7 @@ public class VisionProcess implements Runnable {
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}
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}
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private void PipelineListener(EntryNotification entryNotification) {
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private void pipelineListener(EntryNotification entryNotification) {
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var ntPipelineIndex = (int) entryNotification.value.getDouble();
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if (camera.getPipelines().containsKey(ntPipelineIndex)) {
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// camera.setEntryNotification.value.getString());
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@@ -117,7 +116,7 @@ public class VisionProcess implements Runnable {
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ntDistanceEntry.setNumber(pipelineResult.Area);
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NetworkTableInstance.getDefault().flush();
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}
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ntTimeStampEntry.setNumber(TimeStamp);
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ntTimeStampEntry.setNumber(timeStamp);
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}
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private PipelineResult runVisionProcess(Mat inputImage, Mat outputImage) {
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@@ -136,20 +135,20 @@ public class VisionProcess implements Runnable {
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Scalar hsvLower = new Scalar(currentPipeline.hue.get(0), currentPipeline.saturation.get(0), currentPipeline.value.get(0));
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Scalar hsvUpper = new Scalar(currentPipeline.hue.get(1), currentPipeline.saturation.get(1), currentPipeline.value.get(1));
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cvProcess.HSVThreshold(inputImage, hsvThreshMat, hsvLower, hsvUpper, currentPipeline.erode, currentPipeline.dilate);
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cvProcess.hsvThreshold(inputImage, hsvThreshMat, hsvLower, hsvUpper, currentPipeline.erode, currentPipeline.dilate);
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if (currentPipeline.is_binary == 1) {
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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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FoundContours = cvProcess.FindContours(hsvThreshMat);
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if (FoundContours.size() > 0) {
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FilteredContours = cvProcess.FilterContours(FoundContours, currentPipeline.area, currentPipeline.ratio, currentPipeline.extent);
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if (FilteredContours.size() > 0) {
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GroupedContours = cvProcess.GroupTargets(FilteredContours, currentPipeline.target_intersection, currentPipeline.target_group);
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if (GroupedContours.size() > 0) {
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var finalRect = cvProcess.SortTargetsToOne(GroupedContours, currentPipeline.sort_mode);
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foundContours = cvProcess.findContours(hsvThreshMat);
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if (foundContours.size() > 0) {
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filteredContours = cvProcess.filterContours(foundContours, currentPipeline.area, currentPipeline.ratio, currentPipeline.extent);
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if (filteredContours.size() > 0) {
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groupedContours = cvProcess.groupTargets(filteredContours, currentPipeline.target_intersection, currentPipeline.target_group);
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if (groupedContours.size() > 0) {
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var finalRect = cvProcess.sortTargetsToOne(groupedContours, currentPipeline.sort_mode);
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// System.out.printf("Largest Contour Area: %.2f\n", finalRect.size.area());
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pipelineResult.RawPoint = finalRect;
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pipelineResult.IsValid = true;
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@@ -188,9 +187,9 @@ public class VisionProcess implements Runnable {
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while (!Thread.interrupted()) {
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startTime = System.nanoTime();
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if ((startTime - lastFrameEndNanosec) * 1e-6 >= 1000.0 / maxFps + 3) { // 3 additional fps to allow for overhead
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FoundContours.clear();
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FilteredContours.clear();
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GroupedContours.clear();
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foundContours.clear();
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filteredContours.clear();
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groupedContours.clear();
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// update FPS for ui only every 0.5 seconds
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if ((startTime - fpsLastTime) * 1e-6 >= 500) {
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@@ -204,7 +203,7 @@ public class VisionProcess implements Runnable {
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currentPipeline = camera.getCurrentPipeline();
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// start fps counter right before grabbing input frame
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TimeStamp = cameraProcess.getLatestFrame(cameraInputMat);
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timeStamp = cameraProcess.getLatestFrame(cameraInputMat);
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if (cameraInputMat.cols() == 0 && cameraInputMat.rows() == 0) {
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continue;
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}
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