Import and export ONNX™ (Open Neural Network Exchange) models within MATLAB for interoperability with other deep learning frameworks. ONNX enables models to be trained in one framework and transferred to another for inference.
Opening the onnxconverter.mlpkginstall file from your operating system or from within MATLAB will initiate the installation process for the release you have.
This mlpkginstall file is functional for R2018a and beyond.
%% Export to ONNX model format
net = squeezenet; % Pretrained Model to be exported
filename = 'squeezenet.onnx';
%% Import the network that was exported
net2 = importONNXNetwork('squeezenet.onnx', 'OutputLayerType', 'classification');
% Compare the predictions of the two networks on a random input image
img = rand(net.Layers(1).InputSize);
y = predict(net, img);
y2 = predict(net2,img);
For more details, please visit the documentation at https://www.mathworks.com/help/nnet/ref/exportonnxnetwork.html
exportONNXNetwork does not work properly using CNTK and Python. The conversion produces a ValueError: Gemm: Invalid shape, input A and B are expected to be rank=2 matrices.
Hi, Is the code or toolbox available for Faster R-CNN model to be exported? As i get the error mentioning the model is not DAGnetwork. Hopefully can get some feedback or help here
Do you guys know when support for the constant operator will get added?
Error using importONNXNetwork (line 39)
Node 'node_20': Constant operator is not supported yet.
I worked this code:) It is very good. Thank you.
We would like to hear more details on the problem of importONNXNetwork(). Have you installed an old version of this converter before?
The function importONNXNetwork() doesn't work when I use example above!
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