DatasetCapture | Perception | 0.5.0-preview.1
docs.unity3d.com
    Show / Hide Table of Contents

    DatasetCapture

    DatasetCapture tracks egos, sensors, annotations, and metrics, combining them into a unified JSON-based dataset on disk. It also controls the simulation time elapsed per frame to accommodate the active sensors.

    Sensor scheduling

    While sensors are registered, DatasetCapture ensures that frame timing is deterministic and run at the appropriate simulation times to let each sensor run at its own rate.

    Using Time.CaptureDeltaTime, it also decouples wall clock time from simulation time, allowing the simulation to run as fast as possible.

    Custom sensors

    You can register custom sensors using DatasetCapture.RegisterSensor(). The period you pass in at registration time determines how often (in simulation time) frames should be scheduled for the sensor to run. The sensor implementation then checks ShouldCaptureThisFrame on the returned SensorHandle each frame to determine whether it is time for the sensor to perform a capture. SensorHandle.ReportCapture should then be called in each of these frames to report the state of the sensor to populate the dataset.

    Custom annotations and metrics

    In addition to the common annotations and metrics produced by PerceptionCamera, scripts can produce their own via DatasetCapture. You must first register annotation and metric definitions using DatasetCapture.RegisterAnnotationDefinition() or DatasetCapture.RegisterMetricDefinition(). These return AnnotationDefinition and MetricDefinition instances which you can then use to report values during runtime.

    Annotations and metrics are always associated with the frame they are reported in. They may also be associated with a specific sensor by using the Report* methods on SensorHandle.

    Example

    using System;
    using UnityEngine;
    using UnityEngine.Perception.GroundTruth;
    
    [RequireComponent(typeof(PerceptionCamera))]
    public class CustomAnnotationAndMetricReporter : MonoBehaviour
    {
        public GameObject targetLight;
        public GameObject target;
    
        MetricDefinition lightMetricDefinition;
        AnnotationDefinition boundingBoxAnnotationDefinition;
        SensorHandle cameraSensorHandle;
    
        public void Start()
        {
            //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 = DatasetCapture.RegisterAnnotationDefinition(
                "Target bounding box",
                "The position of the target in the camera's local space",
                id: Guid.Parse("C0B4A22C-0420-4D9F-BAFC-954B8F7B35A7"));
        }
    
        public void Update()
        {
            //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 });
            }
        }
    }
    
    // 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
    //     ]
    //   ]
    // }
    
    Back to top
    Copyright © 2023 Unity Technologies — Terms of use
    • Legal
    • Privacy Policy
    • Cookies
    • Do Not Sell or Share My Personal Information
    • Your Privacy Choices (Cookie Settings)
    "Unity", Unity logos, and other Unity trademarks are trademarks or registered trademarks of Unity Technologies or its affiliates in the U.S. and elsewhere (more info here). Other names or brands are trademarks of their respective owners.
    Generated by DocFX on 18 October 2023