Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目,它使游戏和模拟能够作为训练智能代理的环境。
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using UnityEngine;
using Unity.MLAgents.Sensors;
namespace Unity.MLAgents.Extensions.Sensors
{
/// <summary>
/// A SensorComponent that creates a <see cref="GridSensor"/>.
/// </summary>
[AddComponentMenu("ML Agents/Grid Sensor", (int)MenuGroup.Sensors)]
public class GridSensorComponent : SensorComponent
{
protected GridSensor m_Sensor;
[HideInInspector, SerializeField]
internal string m_SensorName = "GridSensor";
// <summary>
/// Name of the generated <see cref="GridSensor"/> object.
/// Note that changing this at runtime does not affect how the Agent sorts the sensors.
/// </summary>
public string SensorName
{
get { return m_SensorName; }
set { m_SensorName = value; }
}
[HideInInspector, SerializeField]
internal Vector3 m_CellScale = new Vector3(1f, 0.01f, 1f);
/// <summary>
/// The scale of each grid cell.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public Vector3 CellScale
{
get { return m_CellScale; }
set { m_CellScale = value; }
}
[HideInInspector, SerializeField]
internal Vector3Int m_GridNumSide = new Vector3Int(16, 1, 16);
/// <summary>
/// The number of grid on each side.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public Vector3Int GridNumSide
{
get { return m_GridNumSide; }
set
{
if (value.y != 1)
{
m_GridNumSide = new Vector3Int(value.x, 1, value.z);
}
else
{
m_GridNumSide = value;
}
}
}
[HideInInspector, SerializeField]
internal bool m_RotateWithAgent = true;
/// <summary>
/// Rotate the grid based on the direction the agent is facing.
/// </summary>
public bool RotateWithAgent
{
get { return m_RotateWithAgent; }
set { m_RotateWithAgent = value; }
}
[HideInInspector, SerializeField]
internal int[] m_ChannelDepth = new int[] { 1 };
/// <summary>
/// Array holding the depth of each channel.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public int[] ChannelDepth
{
get { return m_ChannelDepth; }
set { m_ChannelDepth = value; }
}
[HideInInspector, SerializeField]
internal string[] m_DetectableObjects;
/// <summary>
/// List of tags that are detected.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public string[] DetectableObjects
{
get { return m_DetectableObjects; }
set { m_DetectableObjects = value; }
}
[HideInInspector, SerializeField]
internal LayerMask m_ObserveMask;
/// <summary>
/// The layer mask.
/// </summary>
public LayerMask ObserveMask
{
get { return m_ObserveMask; }
set { m_ObserveMask = value; }
}
[HideInInspector, SerializeField]
internal GridDepthType m_DepthType = GridDepthType.Channel;
/// <summary>
/// The data layout that the grid should output.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public GridDepthType DepthType
{
get { return m_DepthType; }
set { m_DepthType = value; }
}
[HideInInspector, SerializeField]
internal GameObject m_RootReference;
/// <summary>
/// The reference of the root of the agent. This is used to disambiguate objects with the same tag as the agent. Defaults to current GameObject.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public GameObject RootReference
{
get { return m_RootReference == null ? gameObject : m_RootReference; }
set { m_RootReference = value; }
}
[HideInInspector, SerializeField]
internal int m_MaxColliderBufferSize = 500;
/// <summary>
/// The absolute max size of the Collider buffer used in the non-allocating Physics calls. In other words
/// the Collider buffer will never grow beyond this number even if there are more Colliders in the Grid Cell.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public int MaxColliderBufferSize
{
get { return m_MaxColliderBufferSize; }
set { m_MaxColliderBufferSize = value; }
}
[HideInInspector, SerializeField]
internal int m_InitialColliderBufferSize = 4;
/// <summary>
/// The Estimated Max Number of Colliders to expect per cell. This number is used to
/// pre-allocate an array of Colliders in order to take advantage of the OverlapBoxNonAlloc
/// Physics API. If the number of colliders found is >= InitialColliderBufferSize the array
/// will be resized to double its current size. The hard coded absolute size is 500.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public int InitialColliderBufferSize
{
get { return m_InitialColliderBufferSize; }
set { m_InitialColliderBufferSize = value; }
}
[HideInInspector, SerializeField]
internal Color[] m_DebugColors;
/// <summary>
/// Array of Colors used for the grid gizmos.
/// </summary>
public Color[] DebugColors
{
get { return m_DebugColors; }
set { m_DebugColors = value; }
}
[HideInInspector, SerializeField]
internal float m_GizmoYOffset = 0f;
/// <summary>
/// The height of the gizmos grid.
/// </summary>
public float GizmoYOffset
{
get { return m_GizmoYOffset; }
set { m_GizmoYOffset = value; }
}
[HideInInspector, SerializeField]
internal bool m_ShowGizmos = false;
/// <summary>
/// Whether to show gizmos or not.
/// </summary>
public bool ShowGizmos
{
get { return m_ShowGizmos; }
set { m_ShowGizmos = value; }
}
[HideInInspector, SerializeField]
internal SensorCompressionType m_CompressionType = SensorCompressionType.PNG;
/// <summary>
/// The compression type to use for the sensor.
/// </summary>
public SensorCompressionType CompressionType
{
get { return m_CompressionType; }
set { m_CompressionType = value; UpdateSensor(); }
}
[HideInInspector, SerializeField]
[Range(1, 50)]
[Tooltip("Number of frames of observations that will be stacked before being fed to the neural network.")]
internal int m_ObservationStacks = 1;
/// <summary>
/// Whether to stack previous observations. Using 1 means no previous observations.
/// Note that changing this after the sensor is created has no effect.
/// </summary>
public int ObservationStacks
{
get { return m_ObservationStacks; }
set { m_ObservationStacks = value; }
}
/// <inheritdoc/>
public override ISensor[] CreateSensors()
{
m_Sensor = new GridSensor(
m_SensorName,
m_CellScale,
m_GridNumSide,
m_RotateWithAgent,
m_ChannelDepth,
m_DetectableObjects,
m_ObserveMask,
m_DepthType,
RootReference,
m_CompressionType,
m_MaxColliderBufferSize,
m_InitialColliderBufferSize
);
if (ObservationStacks != 1)
{
return new ISensor[] { new StackingSensor(m_Sensor, ObservationStacks) };
}
return new ISensor[] { m_Sensor };
}
/// <summary>
/// Update fields that are safe to change on the Sensor at runtime.
/// </summary>
internal void UpdateSensor()
{
if (m_Sensor != null)
{
m_Sensor.CompressionType = m_CompressionType;
}
}
void OnDrawGizmos()
{
if (m_ShowGizmos)
{
if (m_Sensor == null)
{
return;
}
var cellColors = m_Sensor.PerceiveGizmoColor();
var cellPositions = m_Sensor.GetGizmoPositions();
var rotation = m_Sensor.GetGridRotation();
var scale = new Vector3(m_CellScale.x, 1, m_CellScale.z);
var gizmoYOffset = new Vector3(0, m_GizmoYOffset, 0);
var oldGizmoMatrix = Gizmos.matrix;
for (var i = 0; i < cellPositions.Length; i++)
{
var cubeTransform = Matrix4x4.TRS(cellPositions[i] + gizmoYOffset, rotation, scale);
Gizmos.matrix = oldGizmoMatrix * cubeTransform;
var colorIndex = cellColors[i];
var debugRayColor = Color.white;
if (colorIndex > -1 && m_DebugColors.Length > colorIndex)
{
debugRayColor = m_DebugColors[colorIndex];
}
Gizmos.color = new Color(debugRayColor.r, debugRayColor.g, debugRayColor.b, .5f);
Gizmos.DrawCube(Vector3.zero, Vector3.one);
}
Gizmos.matrix = oldGizmoMatrix;
}
}
}
}