Below is the MATLAB code that I used to train my R-CNN Object Detector

rcnn = trainRCNNObjectDetector(ROI, cifar10Net, options, …
‘NegativeOverlapRange’, [0 0.3], ‘PositiveOverlapRange’,[0.5 1])

save(‘C:UsersPC1Desktoprcnn_Model_2.mat’,’rcnn’);

Now my problem is the blocks like ‘from File’ in SIMULINK can not take any MAT file that are not timeseries object.

Below in the data format that I saved using the codes above,

Name Size Bytes Class Attributes

rcnn 1×1 482631 rcnnObjectDetector

Below is the properties of the model after being loaded,

rcnn =

rcnnObjectDetector with properties:

Network: [1×1 SeriesNetwork]
ClassNames: {‘Left’ ‘Stop’ ‘Go’ ‘Right’ ‘Background’}
RegionProposalFcn: @rcnnObjectDetector.proposeRegions

So, is that any possible way to import the trained network to SIMULINK?Below is the MATLAB code that I used to train my R-CNN Object Detector

rcnn = trainRCNNObjectDetector(ROI, cifar10Net, options, …
‘NegativeOverlapRange’, [0 0.3], ‘PositiveOverlapRange’,[0.5 1])

save(‘C:UsersPC1Desktoprcnn_Model_2.mat’,’rcnn’);

Now my problem is the blocks like ‘from File’ in SIMULINK can not take any MAT file that are not timeseries object.

Below in the data format that I saved using the codes above,

Name Size Bytes Class Attributes

rcnn 1×1 482631 rcnnObjectDetector

Below is the properties of the model after being loaded,

rcnn =

rcnnObjectDetector with properties:

Network: [1×1 SeriesNetwork]
ClassNames: {‘Left’ ‘Stop’ ‘Go’ ‘Right’ ‘Background’}
RegionProposalFcn: @rcnnObjectDetector.proposeRegions

So, is that any possible way to import the trained network to SIMULINK? Below is the MATLAB code that I used to train my R-CNN Object Detector

rcnn = trainRCNNObjectDetector(ROI, cifar10Net, options, …
‘NegativeOverlapRange’, [0 0.3], ‘PositiveOverlapRange’,[0.5 1])

save(‘C:UsersPC1Desktoprcnn_Model_2.mat’,’rcnn’);

Now my problem is the blocks like ‘from File’ in SIMULINK can not take any MAT file that are not timeseries object.

Below in the data format that I saved using the codes above,

Name Size Bytes Class Attributes

rcnn 1×1 482631 rcnnObjectDetector

Below is the properties of the model after being loaded,

rcnn =

rcnnObjectDetector with properties:

Network: [1×1 SeriesNetwork]
ClassNames: {‘Left’ ‘Stop’ ‘Go’ ‘Right’ ‘Background’}
RegionProposalFcn: @rcnnObjectDetector.proposeRegions

So, is that any possible way to import the trained network to SIMULINK? r-cnn, neural networks MATLAB Answers — New Questions

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