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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<IdLabelConfig>();
labelConfig.Init(new List<IdLabelEntry>
{
new IdLabelEntry
{
id = 100,
label = label
}
});
return labelConfig;
}
static SemanticSegmentationLabelConfig CreateSemanticSegmentationLabelConfig()
{
var label = "label";
var labelingConfiguration = ScriptableObject.CreateInstance<SemanticSegmentationLabelConfig>();
labelingConfiguration.Init(new List<SemanticSegmentationLabelEntry>
{
new SemanticSegmentationLabelEntry()
{
label = label,
color = Color.blue
}
});
return labelingConfiguration;
}
void SetupCamera(Action<PerceptionCamera> initPerceptionCamera)
{
var cameraObject = new GameObject();
cameraObject.SetActive(false);
var camera = cameraObject.AddComponent<Camera>();
camera.orthographic = true;
camera.orthographicSize = 1;
var perceptionCamera = cameraObject.AddComponent<PerceptionCamera>();
perceptionCamera.captureRgbImages = false;
initPerceptionCamera?.Invoke(perceptionCamera);
cameraObject.SetActive(true);
AddTestObjectForCleanup(cameraObject);
}
}
}