Error while training SSD object detector

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i am using MATLAB 2020a to train SSD object detetctor for my database.I receive error which i am unable to troubleshoot. please help me out.
here is the code:
shuffledIndices1 = randperm(height(vehicleDataset1));
idx1 = floor(0.6 * length(shuffledIndices1) );
trainingData1 = vehicleDataset1(shuffledIndices1(1:idx1),:);
testData1 = vehicleDataset1(shuffledIndices1(idx1+1:end),:);
imdsTrain1 = imageDatastore(trainingData1{:,'filename'});
bldsTrain1 = boxLabelDatastore(trainingData1(:,'wbc'));
imdsTest1 = imageDatastore(testData1{:,'filename'});
bldsTest1 = boxLabelDatastore(testData1(:,'wbc'));
trainingData1 = combine(imdsTrain1,bldsTrain1);
testData1 = combine(imdsTest1, bldsTest1);
data1 = read(trainingData1);
I1 = data1{1};
bbox1 = data1{2};
annotatedImage1 = insertShape(I1,'Rectangle',bbox1);
annotatedImage1 = imresize(annotatedImage1,2);
inputSize1 = [300 300 3];
numClasses1 = width(vehicleDataset1)-1;
lgraph1 = ssdLayers(inputSize1, numClasses1, 'resnet50');
augmentedTrainingData1 = transform(trainingData1,@augmentData);
augmentedData1 = cell(4,1);
for k = 1:4
data1 = read(augmentedTrainingData1);
augmentedData1{k} = insertShape(data1{1},'Rectangle',data1{2});
preprocessedTrainingData1 = transform(augmentedTrainingData1,@(data)preprocessData(data,inputSize1));
data1 = read(preprocessedTrainingData1);
I1 = data1{1};
bbox1 = data1{2};
annotatedImage1 = insertShape(I1,'Rectangle',bbox1);
annotatedImage1 = imresize(annotatedImage1,2);
options = trainingOptions('sgdm',...
[detector1,info1] = trainSSDObjectDetector(preprocessedTrainingData1,lgraph1,options);
data1 = read(testData1);
I1 = data1{1,1};
I1 = imresize(I1,inputSize1(1:2));
[bboxes1,scores1] = detect(detector1,I1, 'Threshold', 0.4);
I1 = insertObjectAnnotation(I1,'rectangle',bboxes1,scores1);
here is error:
Invalid transform function defined on datastore.
The cause of the error was:
Error using bboxwarp>iParseInputs (line 324)
The value of 'bboxA' is invalid. Expected input number 1, bboxA, to be integer-valued.
Error in bboxwarp (line 81)
params = iParseInputs(bboxA,tform,ref,varargin{:});
Error in augmentData (line 23)
[B{2},indices] = bboxwarp(A{2},tform,rout,'OverlapThreshold',0.25);
Error in (line 489)
data = ds.Transforms{ii}(data);
Error in (line 162)
[data, info] = ds.applyTransforms(data, info);
Error in nnet.internal.cnn.DataLoader/manageReadQueue (line 161)
data = read(self.Datastore);
Error in nnet.internal.cnn.DataLoader/readAhead (line 192)
Error in nnet.internal.cnn.DataLoader (line 80)
Error in nnet.internal.cnn.GeneralDatastoreDispatcher (line 272)
this.DataLoader = nnet.internal.cnn.DataLoader(ds,...
Error in nnet.internal.cnn.DataDispatcherFactory.createDataDispatcherMIMO (line 170)
nnet.internal.cnn.GeneralDatastoreDispatcher( ...
Error in vision.internal.cnn.trainNetwork>iCreateTrainingDataDispatcher (line 190)
dispatcher = nnet.internal.cnn.DataDispatcherFactory.createDataDispatcherMIMO( ...
Error in vision.internal.cnn.trainNetwork (line 40)
trainingDispatcher = iCreateTrainingDataDispatcher(ds, mapping, trainedNet,...
Error in trainSSDObjectDetector (line 233)
[network, info] = vision.internal.cnn.trainNetwork(...
Error in wbc_detetctor_traininga (line 61)
[detector1,info1] = trainSSDObjectDetector(preprocessedTrainingData1,lgraph1,options);

Accepted Answer

Divya Gaddipati
Divya Gaddipati on 16 Jun 2020
Make sure your groundtruths are valid and non-empty i.e., the values of the bounding boxes are finite, positive, non-fractional, non-NaN and should be within the image boundary with a positive height and width. You should either discard or fix the samples with invalid bounding boxes.
Huma Hafeez
Huma Hafeez on 24 May 2021
Thanks for your reply. You are right, there was a problem with ground truth

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