hello everybody
i made a LOBE model as onnx. then i used the sample code in the main page
but it shows me an error on runtime:

System.TypeInitializationException
HResult=0x80131534
Message=The type initializer for 'Microsoft.ML.OnnxRuntime.NativeMethods' threw an exception.
Source=Microsoft.ML.OnnxRuntime
StackTrace:
at Microsoft.ML.OnnxRuntime.SessionOptions..ctor() in C:\a\3\s\csharp\src\Microsoft.ML.OnnxRuntime\SessionOptions.cs:line 50
at lobe.OnnxImageClassifier.InitialiseFromSignature(Signature signature, String modelFileName)
at lobe.ImageClassifier.CreateFromSignature(Signature signature, String modelFileName, String engineType)
at lobe.ImageClassifier.CreateFromSignatureFile(FileInfo signatureFile, String modelFileName, String format)
at AIWebApp.ML.LobeOfficeAppDetection.Main(String signatureFilePath, String imageToClassify) in G:***\LobeDetection.cs:line 26 at *.Tests.MyTests.Test1() in G:*\MyTests.cs:line 21

Inner Exception 1:
BadImageFormatException: An attempt was made to load a program with an incorrect format. (Exception from HRESULT: 0x8007000B)

Could you please help me to solve the problem ?
thanks in advanced
regards
mohammad

Hello:
I have installed Lobe Application in my Windows 10 PC, from this URL: https://www.lobe.ai/
I used a small dataset to train and get an ONNX model. This model is an image converter, it is not a classifier.

The following is the signature JSON file:
{
"doc_id": "2cc072ae-dbda-43c5-8db7-4c2515e0548d",
"doc_name": "model",
"doc_version": "9c8be1ab541b4591f46bb01fc60116cf",
"format": "onnx",
"version": 5,
"inputs": {
"Image": {
"dtype": "float32",
"shape": [null, 224, 224, 3],
"name": "Image:0"
}
},
"outputs": {
"Confidences": {
"dtype": "float32",
"shape": [null, 2],
"name": "2cc072ae-dbda-43c5-8db7-4c2515e0548d.9554adfa-5d26-484f-88d3-dea9f2f46f01/dense_2/Softmax:0"
}
},
"tags": [],
"classes": {
"Label": ["test_A", "test_B"]
},
"filename": "model.onnx",
"export_model_version": 1
}

I also use mlgen for Visual Studio 2019 from this URL, to generate some C# wrapper class, like this:
public sealed class ModelInput
{
public TensorFloat Image00; // shape(-1,224,224,3)
}

public sealed class ModelOutput
{
    public TensorFloat output2cc072ae0dbda043c508db704c2515e0548d09554adfa05d260484f088d30dea9f2f46f010dense_20Softmax00; // shape(-1,2)
}

public sealed class ModelModel
{
    private LearningModel model;
    private LearningModelSession session;
    private LearningModelBinding binding;
    public static async Task<ModelModel> CreateFromStreamAsync(IRandomAccessStreamReference stream)
    {
        ModelModel learningModel = new ModelModel();
        learningModel.model = await LearningModel.LoadFromStreamAsync(stream);
        learningModel.session = new LearningModelSession(learningModel.model);
        learningModel.binding = new LearningModelBinding(learningModel.session);
        return learningModel;
    }
    public async Task<ModelOutput> EvaluateAsync(ModelInput input)
    {
        binding.Bind("Image:0", input.Image00);
        var result = await session.EvaluateAsync(binding, "0");
        var output = new ModelOutput();
        output.output2cc072ae0dbda043c508db704c2515e0548d09554adfa05d260484f088d30dea9f2f46f010dense_20Softmax00 = result.Outputs["2cc072ae-dbda-43c5-8db7-4c2515e0548d.9554adfa-5d26-484f-88d3-dea9f2f46f01/dense_2/Softmax:0"] as TensorFloat;
        return output;
    }

But I don’t quite understand the meaning of the above class.
If I want to use an input image and generate an output image from the ONNX model.
How I can write an OnnxInput and OnnxOutputClass?
I have no idea about the input shape [null, …] means what and output shape [null, 2] means what?

By the way, the input/output name seems to be very long and meaningless.
Can I use python code to change the ONNX model, so it will show some meaningful names for input/output? For example, if I want to use output name like: Iamge2Sketch, not like this one:
"name": "2cc072ae-dbda-43c5-8db7-4c2515e0548d.9554adfa-5d26-484f-88d3-dea9f2f46f01/dense_2/Softmax:0"

I am using Visual Studio 2022 and 2019 on Windows 10, I also installed Python 3.9.
Please advise,
Thanks,

Using exported onnx can sometimes produces incorrect classification in comparison to tensorflow and lobe app.

Hello:
I have trained an image converter model in Lobe (version 0.10.1130.5). I also exported as an ONNX model. But I don’t know how to write some C# code to make some predication.
However, I found that I can use Lobe locally and post image to it. So I want to try this model.
I run Lobe in Lobe Connect, and I can see its local URL:
http://localhost:38101/v1/predict/2cc072ae-dbda-43c5-8db7-4c2515e0548d

However, the HTTP request is in this format:
{
"method": "POST",
"headers": {
"Content-Type": "application/json"
},
"body": {
"image": ""
}
}

I used one C# program to convert one of the training image to base64 string. Then I launch PostMan (Version 9.15.2) for Windows 10 to post the following Json data to local lobe connect end-point, like this:
{
"method": "POST",
"headers": {
"Content-Type": "application/json"
},
"body": {
"image": "iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAE......=="
}
}

Then I quickly get response from lobe end-point, with the following Json reply:
{
"errors": [
{
"value": "{ "method": "POST", "headers": { "Content-Type": "application/json" }, "body": {
"image": "iVBORw0KGgoAAAANSUhEUgAABAAAAAQACAIAAADwf7zUAAEAAE......==" }}",
"msg": "Request body should be {"image": ""}",
"param": "",
"location": "body"
}
]
}

It seems Lobe connect does NOT recognize the base64 as an image.
Please advise on how to fix this?

Hi!

I'm working in C#, .NET Framework 4.6.1.

So I've trained a simple 4-class image classifier in Lobe, exported as an onnx model. I'm using the OnnxRuntime.MKLML package to load it, it initializes alright when I call this:

ImageClassifier.Register("onnx", () => new OnnxImageClassifier());
                classifier = ImageClassifier.CreateFromSignatureFile(new FileInfo(ModelPathAndName)); // Lobe.AI Model

but then when I try to call classifier.Classify() on the image, I get this error:

System.Collections.Generic.KeyNotFoundException: 'Cannot parse outputs.Prediction.name'
with the Inner Exception:
KeyNotFoundException: The given key was not present in the dictionary.

I'm calling it with this line:

var results = classifier.Classify(SixLabors.ImageSharp.Image
                .Load(sFilename).CloneAs<Rgb24>());

Just in case, here's the signature.json file that I got when I exported the model:

{
  "doc_id": "c916a4a7-ee27-4926-a5b8-1162f4477fc7",
  "doc_name": "AutoRotate",
  "doc_version": "9d01647d49e2fd0e05622b6a7ec3c4eb",
  "format": "onnx",
  "version": 12,
  "inputs": {
    "Image": {
      "dtype": "float32",
      "shape": [ null, 224, 224, 3 ],
      "name": "Image:0"
    }
  },
  "outputs": {
    "Confidences": {
      "dtype": "float32",
      "shape": [ null, 4 ],
      "name": "c916a4a7-ee27-4926-a5b8-1162f4477fc7.1842bd14-28e9-4261-bc41-4083b30ea3a4/dense_2/Softmax:0"
    }
  },
  "tags": [],
  "classes": 
  { "Label": [ "0", "180", "270", "90" ] },
  "filename": "model.onnx", 
  "export_model_version": 1}

The example on README.md shows:
Console.WriteLine(results.Classification.Label);

But results has a collection called Classifications, not a single item.

I followed the dotnet example provided and get error while registering image classifier as seen on line 52. I exported my model in onnx format from Lobe application.

Below is the error description:
'0x08' is an invalid start of a value. LineNumber: 0 | BytePositionInLine: 0.

Please let me know if I missed any step.