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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56 行
1.9 KiB

using System;
using System.IO;
using MLAgents.CommunicatorObjects;
using UnityEditor;
using UnityEngine;
using UnityEditor.Experimental.AssetImporters;
namespace MLAgents
{
/// <summary>
/// Asset Importer used to parse demonstration files.
/// </summary>
[ScriptedImporter(1, new[] {"demo"})]
internal class DemonstrationImporter : ScriptedImporter
{
const string k_IconPath = "Packages/com.unity.ml-agents/Editor/Icons/DemoIcon.png";
public override void OnImportAsset(AssetImportContext ctx)
{
var inputType = Path.GetExtension(ctx.assetPath);
if (inputType == null)
{
throw new Exception("Demonstration import error.");
}
try
{
// Read first two proto objects containing metadata and brain parameters.
Stream reader = File.OpenRead(ctx.assetPath);
var metaDataProto = DemonstrationMetaProto.Parser.ParseDelimitedFrom(reader);
var metaData = metaDataProto.ToDemonstrationMetaData();
reader.Seek(DemonstrationWriter.MetaDataBytes + 1, 0);
var brainParamsProto = BrainParametersProto.Parser.ParseDelimitedFrom(reader);
var brainParameters = brainParamsProto.ToBrainParameters();
reader.Close();
var demonstration = ScriptableObject.CreateInstance<Demonstration>();
demonstration.Initialize(brainParameters, metaData);
userData = demonstration.ToString();
var texture = (Texture2D)
AssetDatabase.LoadAssetAtPath(k_IconPath, typeof(Texture2D));
ctx.AddObjectToAsset(ctx.assetPath, demonstration, texture);
ctx.SetMainObject(demonstration);
}
catch
{
// ignored
}
}
}
}