Command: "exportONNXNetwork" doesn't seem to work properly.

I am working on a machine learning project using a Faster RCNN network (specifically ResNet-50). I used the image annotation tool to annotate the photos to be used with the model, and the training of the model seems to have gone rather well. I need to export the trained model to a format compatiable with TensorFlow, but the two commands I have been using: "exportNetworkToTensorFlow" and "exportONNXNetwork" do not seem to be working propely. Any help would be appreciated!

The "exportNetworkToTensorFlow" command yields this (the app is installed):

>> net = BridRCNN.Network;

>> exportNetworkToTensorFlow(net, "myModel")

Unrecognized function or variable 'exportNetworkToTensorFlow'.

The "exportONNXNetwork" command yields this:

>> net = BridRCNN.Network;

>> exportONNXNetwork(net,"testModel.onnx")

Warning: ONNX does not support layer 'nnet.cnn.layer.RegionProposalLayer'. Exporting to ONNX operator 'com.MathWorks.Placeholder'.

> In nnet.internal.cnn.onnx/NNTLayerConverter/makeLayerConverter (line 276)

In nnet.internal.cnn.onnx/ConverterForNetwork/networkToGraphProto (line 112)

In nnet.internal.cnn.onnx/ConverterForNetwork/toOnnx (line 45)

In nnet.internal.cnn.onnx.exportONNXNetwork (line 17)

In exportONNXNetwork (line 38)

Error using warning

Error filling holes for nnet_cnn_onnx:onnx:ROIMaxPooling2DLayerScalesUnequal. Floating point numbers are not allowed as holes. They should be converted to character vectors.

Error in nnet.internal.cnn.onnx.ConverterForROIMaxPooling2DLayer/toOnnx (line 23)

warning(message('nnet_cnn_onnx:onnx:ROIMaxPooling2DLayerScalesUnequal', ...

Error in nnet.internal.cnn.onnx.ConverterForNetwork/networkToGraphProto (line 115)

= toOnnx(layerConverter, nodeProtos, TensorNameMap, TensorLayoutMap);

Error in nnet.internal.cnn.onnx.ConverterForNetwork/toOnnx (line 45)

modelProto.graph = networkToGraphProto(this);

Error in nnet.internal.cnn.onnx.exportONNXNetwork (line 17)

modelProto = toOnnx(converter);

Error in exportONNXNetwork (line 38)

nnet.internal.cnn.onnx.exportONNXNetwork(Network, filename, varargin{:});

It seems to me like there is a value that is stored as a floating point number instead of a character. I am not sure how to fix it, however.

This is the code I used to train the model:

%% Gather Relavent Image Labeller Data

data = load('MRO135Labels.mat');

%% Transform Truth Table into Usable Table

[imds,blds] = objectDetectorTrainingData(data.gTruth);

%% Combine Datastores

ds = combine(imds,blds);

%% Set up the Network Layers

inputImageSize = [400 600 3];

numClasses = 11;

network = 'resnet50';

featureLayer = 'activation_40_relu';

%% Anchor Boxes

numAnchors = 5;

anchorBoxes = estimateAnchorBoxes(blds,numAnchors);

%% Finally Constructing the Model

%lgraph = layerGraph(inputImageSize, numClasses, anchorBoxes, network, featureLayer);

lgraph = fasterRCNNLayers(inputImageSize, numClasses, anchorBoxes, network, featureLayer);

%% Configure Traininig Options

options = trainingOptions('sgdm', ...

'MiniBatchSize', 1, ...

'InitialLearnRate', 1e-3, ...

'MaxEpochs', 7, ...

'VerboseFrequency', 15, ...

'CheckpointPath', tempdir);

%% Train Detector

detector = trainFasterRCNNObjectDetector(ds, lgraph, options, ...

'NegativeOverlapRange',[0 0.3], ...

'PositiveOverlapRange',[0.6 1]);

%% Test Detector

img = imread('MRO135.jpg');

[bbox, score, label] = detect(detector, img);

%% Display Detection Results

detectedImg = insertShape(img,'Rectangle',bbox);

figure

imshow(detectedImg)

%% Save Model

BridRCNN = detector;

save BridRCNN

Answer 1

[Sivylla Paraskevopoulou]

Which MATLAB version are you using? The exportNetworkToTensorFlow function was introduced in R2022b.