error CS0122: 'ModelAssetData' is inaccessible due to its protection level

[Juan-Sebastian-Silva]

I already have the correct installation since it follows the steps correctly and I don't get any errors. But when I try to import the "3D ball" scene to Unity I get the following error

Assets\ML-Agents\Examples\SharedAssets\Scripts\ModelOverrider.cs(306,68): error CS0122: 'ModelAssetData' is inaccessible due to its protection level.

• Unity Version: 2023.2.0f1
• OS + version: Windows 10
• ML-Agents version: branch 21
• Torch version: 2.1.1
• Environment: 3D ball
• Python 3.10.12

I would appreciate the help, I have tried many things but I have no ideas left.

[jash-maester]

Hi, has anyone found a solution yet?
I'm facing the same issue.

[powerman984]

    ModelAsset LoadSentisModel(byte[] rawModel)
        {
            
            var asset = ScriptableObject.CreateInstance<ModelAsset>();
           
            var modelAssetDataType = typeof(ModelAsset).Assembly.GetType("NamespaceOfModelAssetData.ModelAssetData"); 
            var modelAssetDataInstance = ScriptableObject.CreateInstance(modelAssetDataType);
     
            FieldInfo modelAssetDataField = typeof(ModelAsset).GetField("modelAssetData", BindingFlags.NonPublic | BindingFlags.Instance);

            if (modelAssetDataField != null)
            {
                modelAssetDataField.SetValue(asset, modelAssetDataInstance);

                FieldInfo valueField = modelAssetDataType.GetField("value", BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance);
                if (valueField != null)
                {
                    valueField.SetValue(modelAssetDataInstance, rawModel);
                }
                else
                {
                    Debug.LogError("Failed to retrieve the value field from ModelAssetData.");
                }
            }
            else
            {
                Debug.LogError("Failed to retrieve modelAssetData field from ModelAsset using reflection.");
            }

            return asset;
        }

The above code works for me, Find the ModelAsset LoadSentisModel Method in the project file:
project\Assets\ML-Agents\Examples\SharedAssets\Scripts\ModelOverrider.cs

also add the
using System.Reflection;

After this replace the method with this code and you should get a working sample. The sample seems to work as intended.
Hope this helps!

[J0hnnyGee]

    ModelAsset LoadSentisModel(byte[] rawModel)
        {
            
            var asset = ScriptableObject.CreateInstance<ModelAsset>();
           
            var modelAssetDataType = typeof(ModelAsset).Assembly.GetType("NamespaceOfModelAssetData.ModelAssetData"); 
            var modelAssetDataInstance = ScriptableObject.CreateInstance(modelAssetDataType);
     
            FieldInfo modelAssetDataField = typeof(ModelAsset).GetField("modelAssetData", BindingFlags.NonPublic | BindingFlags.Instance);

            if (modelAssetDataField != null)
            {
                modelAssetDataField.SetValue(asset, modelAssetDataInstance);

                FieldInfo valueField = modelAssetDataType.GetField("value", BindingFlags.Public | BindingFlags.NonPublic | BindingFlags.Instance);
                if (valueField != null)
                {
                    valueField.SetValue(modelAssetDataInstance, rawModel);
                }
                else
                {
                    Debug.LogError("Failed to retrieve the value field from ModelAssetData.");
                }
            }
            else
            {
                Debug.LogError("Failed to retrieve modelAssetData field from ModelAsset using reflection.");
            }

            return asset;
        }

The above code works for me, Find the ModelAsset LoadSentisModel Method in the project file: project\Assets\ML-Agents\Examples\SharedAssets\Scripts\ModelOverrider.cs

also add the using System.Reflection;

After this replace the method with this code and you should get a working sample. The sample seems to work as intended. Hope this helps!

Worked for me, thanks!

[Jarain001]

Worked for me too! Thankkkkk!

[synosyno8]

J0hnnyGee , Thank you. your code worked!

[haedam19]

Worked for me, too. Thank you!