How to test trained fasterRCNN

Question

Pawel Habrzyk 2020-3-6

0
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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/509377-how-to-test-trained-fasterrcnn

评论： Sai Bhargav Avula 2020-3-26

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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