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124 行
4.4 KiB
124 行
4.4 KiB
using System;
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using System.Collections;
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using System.Collections.Generic;
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using System.IO;
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using NUnit.Framework;
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using UnityEngine;
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using UnityEngine.Perception.GroundTruth;
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using UnityEngine.TestTools;
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#if MOQ_PRESENT
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using Moq;
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#endif
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namespace GroundTruthTests
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{
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#if HDRP_PRESENT
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[Ignore("Ignoring in HDRP because of a rendering issue in the first frame. See issue AISV-455.")]
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#endif
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public class PerceptionCameraIntegrationTests : GroundTruthTestBase
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{
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[UnityTest]
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[UnityPlatform(RuntimePlatform.LinuxPlayer, RuntimePlatform.WindowsPlayer)]
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public IEnumerator EnableBoundingBoxes_GeneratesCorrectDataset()
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{
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//set resolution to ensure we don't have rounding in rendering leading to bounding boxes to change height/width
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Screen.SetResolution(400, 400, false);
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//give the screen a chance to resize
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yield return null;
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var jsonExpected = $@" {{
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""label_id"": 100,
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""label_name"": ""label"",
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""instance_id"": 1,
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""x"": 0.0,
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""y"": {Screen.height / 4:F1},
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""width"": {Screen.width:F1},
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""height"": {Screen.height / 2:F1}
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}}";
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var labelingConfiguration = CreateLabelingConfiguration();
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SetupCamera(pc =>
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{
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pc.AddLabeler(new BoundingBox2DLabeler(labelingConfiguration));
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});
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var plane = TestHelper.CreateLabeledPlane();
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AddTestObjectForCleanup(plane);
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//a plane is 10x10 by default, so scale it down to be 10x1 to cover the center half of the image
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plane.transform.localScale = new Vector3(10f, -1f, .1f);
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yield return null;
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DatasetCapture.ResetSimulation();
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var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json");
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var capturesJson = File.ReadAllText(capturesPath);
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StringAssert.Contains(jsonExpected, capturesJson);
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}
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[UnityTest]
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public IEnumerator EnableSemanticSegmentation_GeneratesCorrectDataset()
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{
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SetupCamera(pc =>
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{
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pc.AddLabeler(new SemanticSegmentationLabeler(CreateSemanticSegmentationLabelConfig()));
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});
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string expectedImageFilename = $"segmentation_{Time.frameCount}.png";
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this.AddTestObjectForCleanup(TestHelper.CreateLabeledPlane());
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yield return null;
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DatasetCapture.ResetSimulation();
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var capturesPath = Path.Combine(DatasetCapture.OutputDirectory, "captures_000.json");
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var capturesJson = File.ReadAllText(capturesPath);
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var imagePath = Path.Combine("SemanticSegmentation", expectedImageFilename).Replace(@"\", @"\\");
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StringAssert.Contains(imagePath, capturesJson);
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}
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static IdLabelConfig CreateLabelingConfiguration()
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{
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var label = "label";
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var labelConfig = ScriptableObject.CreateInstance<IdLabelConfig>();
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labelConfig.Init(new List<IdLabelEntry>
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{
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new IdLabelEntry
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{
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id = 100,
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label = label
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}
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});
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return labelConfig;
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}
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static SemanticSegmentationLabelConfig CreateSemanticSegmentationLabelConfig()
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{
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var label = "label";
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var labelingConfiguration = ScriptableObject.CreateInstance<SemanticSegmentationLabelConfig>();
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labelingConfiguration.Init(new List<SemanticSegmentationLabelEntry>
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{
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new SemanticSegmentationLabelEntry()
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{
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label = label,
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color = Color.blue
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}
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});
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return labelingConfiguration;
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}
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void SetupCamera(Action<PerceptionCamera> initPerceptionCamera)
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{
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var cameraObject = new GameObject();
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cameraObject.SetActive(false);
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var camera = cameraObject.AddComponent<Camera>();
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camera.orthographic = true;
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camera.orthographicSize = 1;
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var perceptionCamera = cameraObject.AddComponent<PerceptionCamera>();
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perceptionCamera.captureRgbImages = false;
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initPerceptionCamera?.Invoke(perceptionCamera);
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cameraObject.SetActive(true);
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AddTestObjectForCleanup(cameraObject);
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}
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}
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}
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