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using System;
using System.Collections.Generic;
using System.Diagnostics.CodeAnalysis;
using System.IO;
using Unity.Collections;
using Unity.Profiling;
using Unity.Simulation;
using UnityEditor;
using UnityEngine;
using UnityEngine.Experimental.Rendering;
using UnityEngine.Profiling;
namespace UnityEngine.Perception.GroundTruth
{
/// <summary>
/// Produces instance segmentation for each frame.
/// </summary>
[Serializable]
public sealed class InstanceSegmentationLabeler : CameraLabeler, IOverlayPanelProvider
{
///<inheritdoc/>
public override string description
{
get => "Produces an instance segmentation image for each frame. The image will render the pixels of each labeled object in a distinct color.";
protected set { }
}
/// <inheritdoc/>
protected override bool supportsVisualization => true;
static readonly string k_Directory = "InstanceSegmentation" + Guid.NewGuid().ToString();
const string k_FilePrefix = "Instance_";
/// <summary>
/// The GUID to associate with annotations produced by this labeler.
/// </summary>
[Tooltip("The id to associate with instance segmentation annotations in the dataset.")]
public string annotationId = "1ccebeb4-5886-41ff-8fe0-f911fa8cbcdf";
/// <summary>
/// The <see cref="idLabelConfig"/> which associates objects with labels.
/// </summary>
public IdLabelConfig idLabelConfig;
AnnotationDefinition m_AnnotationDefinition;
static ProfilerMarker s_OnObjectInfoReceivedCallback = new ProfilerMarker("OnInstanceSegmentationObjectInformationReceived");
static ProfilerMarker s_OnImageReceivedCallback = new ProfilerMarker("OnInstanceSegmentationImagesReceived");
Dictionary<int, AsyncAnnotation> m_AsyncAnnotations;
Texture m_CurrentTexture;
/// <inheritdoc cref="IOverlayPanelProvider"/>
// ReSharper disable once ConvertToAutoPropertyWithPrivateSetter
public Texture overlayImage => m_CurrentTexture;
/// <inheritdoc cref="IOverlayPanelProvider"/>
public string label => "InstanceSegmentation";
[SuppressMessage("ReSharper", "InconsistentNaming")]
[SuppressMessage("ReSharper", "NotAccessedField.Local")]
struct InstanceColorValue
{
public uint instance_id;
public Color32 color;
}
string m_InstancePath;
List<InstanceColorValue> m_InstanceColorValues;
struct AsyncWrite
{
public NativeArray<Color32> data;
public int width;
public int height;
public string path;
}
/// <summary>
/// Creates a new InstanceSegmentationLabeler. Be sure to assign <see cref="idLabelConfig"/> before adding to a <see cref="PerceptionCamera"/>.
/// </summary>
public InstanceSegmentationLabeler() { }
/// <summary>
/// Creates a new InstanceSegmentationLabeler with the given <see cref="IdLabelConfig"/>.
/// </summary>
/// <param name="labelConfig">The label config for resolving the label for each object.</param>
public InstanceSegmentationLabeler(IdLabelConfig labelConfig)
{
this.idLabelConfig = labelConfig;
}
void OnRenderedObjectInfosCalculated(int frame, NativeArray<RenderedObjectInfo> renderedObjectInfos)
{
if (!m_AsyncAnnotations.TryGetValue(frame, out var annotation))
return;
m_AsyncAnnotations.Remove(frame);
using (s_OnObjectInfoReceivedCallback.Auto())
{
m_InstanceColorValues.Clear();
foreach (var objectInfo in renderedObjectInfos)
{
if (!idLabelConfig.TryGetLabelEntryFromInstanceId(objectInfo.instanceId, out var labelEntry))
continue;
m_InstanceColorValues.Add(new InstanceColorValue
{
instance_id = objectInfo.instanceId,
color = objectInfo.instanceColor
});
}
annotation.ReportFileAndValues(m_InstancePath, m_InstanceColorValues);
}
}
void OnImageCaptured(int frame, NativeArray<Color32> data, RenderTexture renderTexture)
{
using (s_OnImageReceivedCallback.Auto())
{
m_CurrentTexture = renderTexture;
m_InstancePath = $"{k_Directory}/{k_FilePrefix}{frame}.png";
var localPath = $"{Manager.Instance.GetDirectoryFor(k_Directory)}/{k_FilePrefix}{frame}.png";
var colors = new NativeArray<Color32>(data, Allocator.TempJob);
var asyncRequest = Manager.Instance.CreateRequest<AsyncRequest<AsyncWrite>>();
asyncRequest.data = new AsyncWrite
{
data = colors,
width = renderTexture.width,
height = renderTexture.height,
path = localPath
};
asyncRequest.Enqueue(r =>
{
Profiler.BeginSample("InstanceSegmentationEncode");
var pngBytes = ImageConversion.EncodeArrayToPNG(r.data.data.ToArray(), GraphicsFormat.R8G8B8A8_UNorm, (uint)r.data.width, (uint)r.data.height);
Profiler.EndSample();
Profiler.BeginSample("InstanceSegmentationWritePng");
File.WriteAllBytes(r.data.path, pngBytes);
Manager.Instance.ConsumerFileProduced(r.data.path);
Profiler.EndSample();
r.data.data.Dispose();
return AsyncRequest.Result.Completed;
});
asyncRequest.Execute();
}
}
/// <inheritdoc/>
protected override void OnBeginRendering()
{
m_AsyncAnnotations[Time.frameCount] = perceptionCamera.SensorHandle.ReportAnnotationAsync(m_AnnotationDefinition);
}
/// <inheritdoc/>
protected override void Setup()
{
if (idLabelConfig == null)
throw new InvalidOperationException("InstanceSegmentationLabeler's idLabelConfig field must be assigned");
m_InstanceColorValues = new List<InstanceColorValue>();
perceptionCamera.InstanceSegmentationImageReadback += OnImageCaptured;
perceptionCamera.RenderedObjectInfosCalculated += OnRenderedObjectInfosCalculated;
m_AsyncAnnotations = new Dictionary<int, AsyncAnnotation>();
m_AnnotationDefinition = DatasetCapture.RegisterAnnotationDefinition(
"instance segmentation",
idLabelConfig.GetAnnotationSpecification(),
"pixel-wise instance segmentation label",
"PNG",
Guid.Parse(annotationId));
visualizationEnabled = supportsVisualization;
}
}
}