How to test trained fasterRCNN

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Pawel Habrzyk
Pawel Habrzyk on 6 Mar 2020
Commented: Sai Bhargav Avula on 26 Mar 2020
So I've been trying to train a fasterRCNN, but unfortunetly test it on my dataset.
I am aplllying the same transformation to both trainingData and testData, but it doesn't work.
My log:
Invalid transform function defined on datastore.
Invalid transform function defined on datastore.
The cause of the error was:
Error using bboxresize>iParseInputs (line 89)
The value of 'bboxA' is invalid. Expected input number 1, bboxA, to be integer-valued.
Error in bboxresize (line 49)
params = iParseInputs(bboxA,scale);
Error in untitled>preprocessData (line 97)
data{2} = bboxresize(data{2},scale);
Error in untitled>@(data)preprocessData(data,inputSize) (line 73)
testData= transform(testData,@(data)preprocessData(data,inputSize));
Error in matlab.io.datastore.TransformedDatastore/read (line 148)
data = self.Transforms{ii}(data);
Error in nnet.internal.cnn.DataLoader/manageReadQueue (line 161)
data = read(self.Datastore);
Error in nnet.internal.cnn.DataLoader/nextBatch (line 88)
manageReadQueue(self);
Error in nnet.internal.cnn.GeneralDatastoreDispatcher/readNextBatchIntoCache (line 350)
data = nextBatch(this.DataLoader);
Error in nnet.internal.cnn.GeneralDatastoreDispatcher/next (line 307)
this.readNextBatchIntoCache();
Error in DAGNetwork/activationsMIMO (line 162)
X = dispatcher.next();
Error in vision.internal.cnn.fastrcnn.detectUsingDatastore (line 14)
[features, regression, proposals] = network.activationsMIMO(ds,...
Error in fasterRCNNObjectDetector/detect (line 535)
varargout{1} = vision.internal.cnn.fastrcnn.detectUsingDatastore(ds, this.Network, dataMap, layerOut, params);
Error in untitled (line 76)
detectionResults = detect(detector,testData,'MinibatchSize',1);
23 rethrow(ME);
Your MATLAB session has timed out. All license keys have been returned.
>> detectionResults = detect(detector,testData,'MinibatchSize',1);
Invalid transform function defined on datastore.
The cause of the error was:
Error using bboxresize>iParseInputs (line 89)
The value of 'bboxA' is invalid. Expected input number 1, bboxA, to be integer-valued.
Error in bboxresize (line 49)
params = iParseInputs(bboxA,scale);
Error in untitled>preprocessData (line 97)
data{2} = bboxresize(data{2},scale);
Error in untitled>@(data)preprocessData(data,inputSize) (line 73)
testData= transform(testData,@(data)preprocessData(data,inputSize));
Error in matlab.io.datastore.TransformedDatastore/read (line 148)
data = self.Transforms{ii}(data);
Error in nnet.internal.cnn.DataLoader/manageReadQueue (line 161)
data = read(self.Datastore);
Error in nnet.internal.cnn.DataLoader/nextBatch (line 88)
manageReadQueue(self);
Error in nnet.internal.cnn.GeneralDatastoreDispatcher/readNextBatchIntoCache (line 350)
data = nextBatch(this.DataLoader);
Error in nnet.internal.cnn.GeneralDatastoreDispatcher/next (line 307)
this.readNextBatchIntoCache();
Error in DAGNetwork/activationsMIMO (line 162)
X = dispatcher.next();
Error in vision.internal.cnn.fastrcnn.detectUsingDatastore (line 14)
[features, regression, proposals] = network.activationsMIMO(ds,...
Error in fasterRCNNObjectDetector/detect (line 535)
varargout{1} = vision.internal.cnn.fastrcnn.detectUsingDatastore(ds, this.Network, dataMap, layerOut, params);
23 rethrow(ME);
>> testData
testData =
TransformedDatastore with properties:
UnderlyingDatastore: [1×1 matlab.io.datastore.CombinedDatastore]
Transforms: {@(data)preprocessData(data,inputSize)}
IncludeInfo: 0
  1 Comment
Sai Bhargav Avula
Sai Bhargav Avula on 26 Mar 2020
Can you share the transforms that was applied on the datastore object?

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