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。
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
 
 
 
 
 

91 行
3.4 KiB

using MLAgents.Sensors;
using UnityEditor;
using Barracuda;
using MLAgents.Policies;
namespace MLAgents.Editor
{
/*
This code is meant to modify the behavior of the inspector on Agent Components.
*/
[CustomEditor(typeof(BehaviorParameters))]
[CanEditMultipleObjects]
internal class BehaviorParametersEditor : UnityEditor.Editor
{
const float k_TimeBetweenModelReloads = 2f;
// Time since the last reload of the model
float m_TimeSinceModelReload;
// Whether or not the model needs to be reloaded
bool m_RequireReload;
public override void OnInspectorGUI()
{
var so = serializedObject;
so.Update();
// Drawing the Behavior Parameters
EditorGUI.BeginChangeCheck();
EditorGUI.indentLevel++;
EditorGUILayout.PropertyField(so.FindProperty("m_BehaviorName"));
EditorGUILayout.PropertyField(so.FindProperty("m_BrainParameters"), true);
EditorGUILayout.PropertyField(so.FindProperty("m_Model"), true);
EditorGUI.indentLevel++;
EditorGUILayout.PropertyField(so.FindProperty("m_InferenceDevice"), true);
EditorGUI.indentLevel--;
EditorGUILayout.PropertyField(so.FindProperty("m_BehaviorType"));
EditorGUILayout.PropertyField(so.FindProperty("TeamId"));
EditorGUILayout.PropertyField(so.FindProperty("m_UseChildSensors"), true);
// EditorGUILayout.PropertyField(serializedObject.FindProperty("m_Heuristic"), true);
EditorGUI.indentLevel--;
if (EditorGUI.EndChangeCheck())
{
m_RequireReload = true;
}
DisplayFailedModelChecks();
so.ApplyModifiedProperties();
}
/// <summary>
/// Must be called within OnEditorGUI()
/// </summary>
void DisplayFailedModelChecks()
{
if (m_RequireReload && m_TimeSinceModelReload > k_TimeBetweenModelReloads)
{
m_RequireReload = false;
m_TimeSinceModelReload = 0;
}
// Display all failed checks
D.logEnabled = false;
Model barracudaModel = null;
var model = (NNModel)serializedObject.FindProperty("m_Model").objectReferenceValue;
var behaviorParameters = (BehaviorParameters)target;
SensorComponent[] sensorComponents;
if (behaviorParameters.useChildSensors)
{
sensorComponents = behaviorParameters.GetComponentsInChildren<SensorComponent>();
}
else
{
sensorComponents = behaviorParameters.GetComponents<SensorComponent>();
}
var brainParameters = behaviorParameters.brainParameters;
if (model != null)
{
barracudaModel = ModelLoader.Load(model);
}
if (brainParameters != null)
{
var failedChecks = Inference.BarracudaModelParamLoader.CheckModel(
barracudaModel, brainParameters, sensorComponents);
foreach (var check in failedChecks)
{
if (check != null)
{
EditorGUILayout.HelpBox(check, MessageType.Warning);
}
}
}
}
}
}