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)] #if SIMULATION_TOOLS_PRESENT [Unity.Simulation.Tools.CloudTest] #endif 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); yield return null; DatasetCapture.ResetSimulation(); var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json"); var capturesJson = File.ReadAllText(capturesPath); StringAssert.Contains(jsonExpected, capturesJson); } [UnityTest] #if SIMULATION_TOOLS_PRESENT [Unity.Simulation.Tools.CloudTest] #endif public IEnumerator EnableSemanticSegmentation_GeneratesCorrectDataset() { SetupCamera(pc => { pc.AddLabeler(new SemanticSegmentationLabeler(CreateSemanticSegmentationLabelConfig())); }); 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 = $"SemanticSegmentation/{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; } void SetupCamera(Action initPerceptionCamera) { var cameraObject = new GameObject(); cameraObject.SetActive(false); var camera = cameraObject.AddComponent(); camera.orthographic = true; camera.orthographicSize = 1; var perceptionCamera = cameraObject.AddComponent(); perceptionCamera.captureRgbImages = false; initPerceptionCamera?.Invoke(perceptionCamera); cameraObject.SetActive(true); AddTestObjectForCleanup(cameraObject); } } }