using System; using System.Collections; using System.Collections.Generic; using System.IO; using NUnit.Framework; using UnityEngine; using UnityEngine.Perception.GroundTruth; using UnityEngine.TestTools; #if MOQ_PRESENT using Moq; #endif namespace GroundTruthTests { #if HDRP_PRESENT [Ignore("Ignoring in HDRP because of a rendering issue in the first frame. See issue AISV-455.")] #endif public class PerceptionCameraIntegrationTests : GroundTruthTestBase { [UnityTest] [UnityPlatform(RuntimePlatform.LinuxPlayer, RuntimePlatform.WindowsPlayer)] public IEnumerator EnableBoundingBoxes_GeneratesCorrectDataset() { //set resolution to ensure we don't have rounding in rendering leading to bounding boxes to change height/width Screen.SetResolution(400, 400, false); //give the screen a chance to resize yield return null; var jsonExpected = $@"[ {{ ""label_id"": 100, ""label_name"": ""label"", ""instance_id"": 1, ""x"": 0.0, ""y"": {Screen.height / 4:F1}, ""width"": {Screen.width:F1}, ""height"": {Screen.height / 2:F1} }} ]"; var labelingConfiguration = CreateLabelingConfiguration(); SetupCamera(pc => { pc.AddLabeler(new BoundingBox2DLabeler(labelingConfiguration)); }); var plane = TestHelper.CreateLabeledPlane(); AddTestObjectForCleanup(plane); //a plane is 10x10 by default, so scale it down to be 10x1 to cover the center half of the image plane.transform.localScale = new Vector3(10f, -1f, .1f); plane.transform.localPosition = new Vector3(0, 0, 10); var plane2 = TestHelper.CreateLabeledPlane(label: "nonmatching"); AddTestObjectForCleanup(plane2); //place a smaller plane in front to test non-matching objects plane2.transform.localScale = new Vector3(.1f, -1f, .1f); plane2.transform.localPosition = new Vector3(0, 0, 5); yield return null; DatasetCapture.ResetSimulation(); var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json"); var capturesJson = File.ReadAllText(capturesPath); StringAssert.Contains(TestHelper.NormalizeJson(jsonExpected, true), TestHelper.NormalizeJson(capturesJson, true)); } [UnityTest] public IEnumerator EnableSemanticSegmentation_GeneratesCorrectDataset([Values(true, false)] bool enabled) { SemanticSegmentationLabeler semanticSegmentationLabeler = null; SetupCamera(pc => { semanticSegmentationLabeler = new SemanticSegmentationLabeler(CreateSemanticSegmentationLabelConfig()); pc.AddLabeler(semanticSegmentationLabeler); }, enabled); string expectedImageFilename = $"segmentation_{Time.frameCount}.png"; this.AddTestObjectForCleanup(TestHelper.CreateLabeledPlane()); yield return null; DatasetCapture.ResetSimulation(); if (enabled) { var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json"); var capturesJson = File.ReadAllText(capturesPath); var imagePath = $"{semanticSegmentationLabeler.semanticSegmentationDirectory}/{expectedImageFilename}"; StringAssert.Contains(imagePath, capturesJson); } else { DirectoryAssert.DoesNotExist(DatasetCapture.OutputDirectory); } } [UnityTest] public IEnumerator Disabled_GeneratesCorrectDataset() { SemanticSegmentationLabeler semanticSegmentationLabeler = null; SetupCamera(pc => { semanticSegmentationLabeler = new SemanticSegmentationLabeler(CreateSemanticSegmentationLabelConfig()); pc.AddLabeler(semanticSegmentationLabeler); }); string expectedImageFilename = $"segmentation_{Time.frameCount}.png"; this.AddTestObjectForCleanup(TestHelper.CreateLabeledPlane()); yield return null; DatasetCapture.ResetSimulation(); var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json"); var capturesJson = File.ReadAllText(capturesPath); var imagePath = $"{semanticSegmentationLabeler.semanticSegmentationDirectory}/{expectedImageFilename}"; StringAssert.Contains(imagePath, capturesJson); } static IdLabelConfig CreateLabelingConfiguration() { var label = "label"; var labelConfig = ScriptableObject.CreateInstance(); labelConfig.Init(new List { new IdLabelEntry { id = 100, label = label } }); return labelConfig; } static SemanticSegmentationLabelConfig CreateSemanticSegmentationLabelConfig() { var label = "label"; var labelingConfiguration = ScriptableObject.CreateInstance(); labelingConfiguration.Init(new List { new SemanticSegmentationLabelEntry() { label = label, color = Color.blue } }); return labelingConfiguration; } } }