package com.chameleonvision.common; import com.chameleonvision.common.util.TestUtils; import com.chameleonvision.common.util.math.MathUtils; import com.chameleonvision.common.util.numbers.NumberListUtils; import com.chameleonvision.common.vision.frame.FrameProvider; import com.chameleonvision.common.vision.frame.provider.FileFrameProvider; import com.chameleonvision.common.vision.opencv.CVMat; import com.chameleonvision.common.vision.opencv.ContourGroupingMode; import com.chameleonvision.common.vision.opencv.ContourIntersectionDirection; import com.chameleonvision.common.vision.pipeline.*; import java.util.ArrayList; import java.util.Collections; import java.util.List; import org.junit.jupiter.api.BeforeAll; import org.junit.jupiter.api.Test; /** Various tests that check performance on long-running tasks (i.e. a pipeline) */ public class BenchmarkTest { @BeforeAll public static void init() { TestUtils.loadLibraries(); } @Test public void Reflective240pBenchmark() { var pipeline = new ReflectivePipeline(); pipeline.getSettings().hsvHue.set(60, 100); pipeline.getSettings().hsvSaturation.set(100, 255); pipeline.getSettings().hsvValue.set(190, 255); pipeline.getSettings().outputShowThresholded = true; pipeline.getSettings().outputShowMultipleTargets = true; pipeline.getSettings().contourGroupingMode = ContourGroupingMode.Dual; pipeline.getSettings().contourIntersection = ContourIntersectionDirection.Up; var frameProvider = new FileFrameProvider( TestUtils.getWPIImagePath(TestUtils.WPI2019Image.kCargoSideStraightDark72in), TestUtils.WPI2019Image.FOV); frameProvider.setImageReloading(true); benchmarkPipeline(frameProvider, pipeline, 5); } @Test public void Reflective480pBenchmark() { var pipeline = new ReflectivePipeline(); pipeline.getSettings().hsvHue.set(60, 100); pipeline.getSettings().hsvSaturation.set(200, 255); pipeline.getSettings().hsvValue.set(200, 255); pipeline.getSettings().outputShowThresholded = true; var frameProvider = new FileFrameProvider( TestUtils.getWPIImagePath(TestUtils.WPI2019Image.kCargoSideStraightDark72in), TestUtils.WPI2019Image.FOV); frameProvider.setImageReloading(true); benchmarkPipeline(frameProvider, pipeline, 5); } @Test public void Reflective1920x1440Benchmark() { var pipeline = new ReflectivePipeline(); pipeline.getSettings().hsvHue.set(60, 100); pipeline.getSettings().hsvSaturation.set(100, 255); pipeline.getSettings().hsvValue.set(190, 255); pipeline.getSettings().outputShowThresholded = true; pipeline.getSettings().outputShowMultipleTargets = true; pipeline.getSettings().contourGroupingMode = ContourGroupingMode.Dual; pipeline.getSettings().contourIntersection = ContourIntersectionDirection.Up; var frameProvider = new FileFrameProvider( TestUtils.getWPIImagePath(TestUtils.WPI2019Image.kCargoStraightDark72in_HighRes), TestUtils.WPI2019Image.FOV); frameProvider.setImageReloading(true); benchmarkPipeline(frameProvider, pipeline, 5); } private static

void benchmarkPipeline( FrameProvider frameProvider, P pipeline, int secondsToRun) { CVMat.enablePrint(false); // warmup for 5 loops. System.out.println("Warming up for 5 loops..."); for (int i = 0; i < 5; i++) { pipeline.run(frameProvider.get()); } final List processingTimes = new ArrayList<>(); final List latencyTimes = new ArrayList<>(); var frameProps = frameProvider.get().frameStaticProperties; // begin benchmark System.out.println("Beginning " + secondsToRun + " second benchmark at resolution " + frameProps.imageWidth + "x" + frameProps.imageHeight); var benchmarkStartMillis = System.currentTimeMillis(); do { CVPipelineResult pipelineResult = pipeline.run(frameProvider.get()); pipelineResult.release(); processingTimes.add(MathUtils.roundTo(pipelineResult.processingMillis, 3)); latencyTimes.add(MathUtils.roundTo(pipelineResult.getLatencyMillis(), 3)); } while (System.currentTimeMillis() - benchmarkStartMillis < secondsToRun * 1000); System.out.println("Benchmark complete."); var processingMin = Collections.min(processingTimes); var processingMean = NumberListUtils.mean(processingTimes); var processingMax = Collections.max(processingTimes); var latencyMin = Collections.min(latencyTimes); var latencyMean = NumberListUtils.mean(latencyTimes); var latencyMax = Collections.max(latencyTimes); String processingResult = "Processing times - " + "Min: " + processingMin + "ms (" + 1000 / processingMin + " FPS), " + "Mean: " + processingMean + "ms (" + 1000 / processingMean + " FPS), " + "Max: " + processingMax + "ms (" + 1000 / processingMax + " FPS)"; System.out.println(processingResult); String latencyResult = "Latency times - " + "Min: " + latencyMin + "ms (" + 1000 / latencyMin + " FPS), " + "Mean: " + latencyMean + "ms (" + 1000 / latencyMean + " FPS), " + "Max: " + latencyMax + "ms (" + 1000 / latencyMax + " FPS)"; System.out.println(latencyResult); } }