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PhotonVision/photon-server/src/test/java/org/photonvision/common/BenchmarkTest.java

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/*
* Copyright (C) 2020 Photon Vision.
*
* This program is free software: you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation, either version 3 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program. If not, see <https://www.gnu.org/licenses/>.
*/
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package org.photonvision.common;
import java.util.ArrayList;
import java.util.Collections;
import java.util.List;
import org.junit.jupiter.api.BeforeAll;
import org.junit.jupiter.api.Order;
import org.junit.jupiter.api.Test;
import org.photonvision.common.util.TestUtils;
import org.photonvision.common.util.math.MathUtils;
import org.photonvision.common.util.numbers.NumberListUtils;
import org.photonvision.vision.frame.FrameProvider;
import org.photonvision.vision.frame.provider.FileFrameProvider;
import org.photonvision.vision.opencv.CVMat;
import org.photonvision.vision.opencv.ContourGroupingMode;
import org.photonvision.vision.opencv.ContourIntersectionDirection;
import org.photonvision.vision.pipeline.CVPipeline;
import org.photonvision.vision.pipeline.ReflectivePipeline;
Bootup sprint (#18) * Did some stuff * Fix gradle, start implementing mjpeg frame consumer * Did some stuff * bade changes * rename camera config to USBCameraConfiguration, add name * unrename cameraconfiguration * Add pub/sub framework * Add setResolution to mjpeg frame consumer * add NTDataConsumer * Add some totally broken hsv hacks * Start refactoring UI data * Update index.js * Commit and push, he says * Fix up some errors * Fix input tab * Fix fps * Update index.js * Add pipeline field setting, update PipelineManager, fix nullpointers and USBCameraSettables * Change v-model to point to data() * update hsv to use mutations * Work on saving, fix hsv * Rename shouldErode/shouldDilate to erode and dilate * Hook all the tabs up to the Store * Change handleData to handlePipelineData * camera quirk redo, add ICCSub to SocketHandler * Fix some property names * Fixed tons of naming in UI, fix backend for multi-val PSCs, fix PSC enums * change pipeline type to an int in store * Fix mutation naming * Attempt threshold fix * Update SocketHandler.java * Add truthy data sending * Start adding logging support * [UI] Add delay to slider input boxes (#1) * [UI] [Backend] potentially fix camera settings, various logging tweaks * Don't release raw input mat * add setVideoModeIndex to vision settables * Implement pipeline index in socket handler, add framework for renaming/changing pipes * (ish) get pipeline change working * Create index.html * Cleanups, fix pipeline index bug, fix stream res for MJPG, add dashboard stream (unused) * Refactor UI to use mutatePipeline, send pipeline results * Update NetworkConfig.java * Change double to number * Run spotless * Fix reversal of large/small comparators * Fix left/right * Fix pitch/yaw calculation bug, fix area bug * Use Vue.set instead of assignment This fixes {{ }} * Update App.vue * run spotless * Actually add pipelines and reassign indecies * Delete old pipeline configs Fixes duplication on renaming pipeline * Start working on deleting pipes * Fix camera nickname change * run spotless * Fix some test stuff * Update VisionModuleManagerTest.java * vision source manager test is still broken * Fix VisionSourceManager test * Apply spotless 2 electric boogaloo Co-authored-by: Banks Troutman <btrout.dhrs@gmail.com> Co-authored-by: Declan Freeman-Gleason <declanfreemangleason@gmail.com> Co-authored-by: Aaryan Agrawal <54345060+13Ducks@users.noreply.github.com>
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import org.photonvision.vision.pipeline.result.CVPipelineResult;
/** Various tests that check performance on long-running tasks (i.e. a pipeline) */
public class BenchmarkTest {
@BeforeAll
public static void init() {
TestUtils.loadLibraries();
}
@Test
@Order(1)
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);
benchmarkPipeline(frameProvider, pipeline, 5);
}
@Test
@Order(1)
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.WPI2020Image.kBlueGoal_084in_Center),
TestUtils.WPI2020Image.FOV);
benchmarkPipeline(frameProvider, pipeline, 5);
}
@Test
@Order(3)
public void Reflective720pBenchmark() {
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.WPI2020Image.kBlueGoal_084in_Center_720p),
TestUtils.WPI2020Image.FOV);
benchmarkPipeline(frameProvider, pipeline, 5);
}
@Test
@Order(4)
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);
benchmarkPipeline(frameProvider, pipeline, 5);
}
private static <P extends CVPipeline> 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<Double> processingTimes = new ArrayList<>();
final List<Double> 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(pipelineResult.processingMillis);
latencyTimes.add(pipelineResult.getLatencyMillis());
} 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: "
+ MathUtils.roundTo(processingMin, 3)
+ "ms ("
+ MathUtils.roundTo(1000 / processingMin, 3)
+ " FPS), "
+ "Mean: "
+ MathUtils.roundTo(processingMean, 3)
+ "ms ("
+ MathUtils.roundTo(1000 / processingMean, 3)
+ " FPS), "
+ "Max: "
+ MathUtils.roundTo(processingMax, 3)
+ "ms ("
+ MathUtils.roundTo(1000 / processingMax, 3)
+ " FPS)";
System.out.println(processingResult);
String latencyResult =
"Latency times - "
+ "Min: "
+ MathUtils.roundTo(latencyMin, 3)
+ "ms ("
+ MathUtils.roundTo(1000 / latencyMin, 3)
+ " FPS), "
+ "Mean: "
+ MathUtils.roundTo(latencyMean, 3)
+ "ms ("
+ MathUtils.roundTo(1000 / latencyMean, 3)
+ " FPS), "
+ "Max: "
+ MathUtils.roundTo(latencyMax, 3)
+ "ms ("
+ MathUtils.roundTo(1000 / latencyMax, 3)
+ " FPS)";
System.out.println(latencyResult);
}
}