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