您最多选择25个主题 主题必须以中文或者字母或数字开头,可以包含连字符 (-),并且长度不得超过35个字符

72 行
2.5 KiB

using System;
using UnityEngine;
using UnityEngine.Perception.GroundTruth;
[RequireComponent(typeof(PerceptionCamera))]
public class CustomAnnotationAndMetricReporter : MonoBehaviour
{
public GameObject targetLight;
public GameObject target;
// MetricDefinition lightMetricDefinition;
// BoundingBox2DLabeler.BoundingBoxAnnotationDefinition boundingBoxAnnotationDefinition;
SensorHandle cameraSensorHandle;
public void Start()
{
#if false
//Metrics and annotations are registered up-front
lightMetricDefinition = DatasetCapture.RegisterMetricDefinition(
"Light position",
"The world-space position of the light",
Guid.Parse("1F6BFF46-F884-4CC5-A878-DB987278FE35"));
boundingBoxAnnotationDefinition = new BoundingBox2DLabeler.BoundingBoxAnnotationDefinition("Target Bounding Box", "The position of the target in the camera's local space");
DatasetCapture.RegisterAnnotationDefinition(boundingBoxAnnotationDefinition);
#endif
}
public void Update()
{
#if false
//Report the light's position by manually creating the json array string.
var lightPos = targetLight.transform.position;
DatasetCapture.ReportMetric(lightMetricDefinition,
$@"[{{ ""x"": {lightPos.x}, ""y"": {lightPos.y}, ""z"": {lightPos.z} }}]");
//compute the location of the object in the camera's local space
Vector3 targetPos = transform.worldToLocalMatrix * target.transform.position;
//Report using the PerceptionCamera's SensorHandle if scheduled this frame
var sensorHandle = GetComponent<PerceptionCamera>().SensorHandle;
if (sensorHandle.ShouldCaptureThisFrame)
{
sensorHandle.ReportAnnotationValues(
boundingBoxAnnotationDefinition,
new[] { targetPos });
}
#endif
}
}
// Example metric that is added each frame in the dataset:
// {
// "capture_id": null,
// "annotation_id": null,
// "sequence_id": "9768671e-acea-4c9e-a670-0f2dba5afe12",
// "step": 1,
// "metric_definition": "1f6bff46-f884-4cc5-a878-db987278fe35",
// "values": [{ "x": 96.1856, "y": 192.676, "z": -193.8386 }]
// },
// Example annotation that is added to each capture in the dataset:
// {
// "id": "33f5a3aa-3e5e-48f1-8339-6cbd64ed4562",
// "annotation_definition": "c0b4a22c-0420-4d9f-bafc-954b8f7b35a7",
// "values": [
// [
// -1.03097284,
// 0.07265166,
// -6.318692
// ]
// ]
// }