instance segmentation based on polygon labeling?

i am trying to train a mocel for instance segementation using mask Rcnn and i have labelled 1128 image using imqage labeller polygon labelling.

% % Load the ground truth labels using gTruth

load gTruth_1128.mat; % Load your gTruth data

data = gTruth;

classnames = gTruth.LabelDefinitions.Name

% Define the directory where your bounding box data is located and RGB

% image located

RGBDir = 'I:\PROJECTS\PhD Year 2\comparision of Image segmentation models\Data1\Dataset_2';

maskDir = 'I:\PROJECTS\PhD Year 2\comparision of Image segmentation models\Data1\Training\dataset'; % Replace with the directory where you want to save the files

numClasses = 4; % Number of classes

% load the groudtruth

A = 'traning_data.mat';

loadedData = load(A);

% Access the cell array data from the loaded data

cellArrayData = loadedData.combinedCellArray;% Replace 'yourVariableName' with the correct variable name

cellArrayData =cell2table(cellArrayData);

% % % Create a Image source for the dataset

imds = imageDatastore(RGBDir);

% Create a boxLabelDatastore

blds = boxLabelDatastore(cellArrayData(:,(2:3)));

% Create a custom ReadFcn for the maskimageDatastore

readFcn = @(filename) customReadFcn(filename);

% Create the imageDatastore with the custom ReadFcn

imds_mask = imageDatastore(maskDir, 'FileExtensions', {'.mat'}, 'ReadFcn', readFcn);

ds = combine(imds,blds);

ds = combine(ds,imds_mask);

preview(ds)

net = maskrcnn("resnet50-coco",classnames,InputSize=imageSize)

options = trainingOptions("sgdm", ...

InitialLearnRate=0.001, ...

LearnRateSchedule="piecewise", ...

LearnRateDropPeriod=1, ...

LearnRateDropFactor=0.95, ...

Plot="none", ...

Momentum=0.9, ...

MaxEpochs=10, ...

MiniBatchSize=20, ...

BatchNormalizationStatistics="moving", ...

ResetInputNormalization=false, ...

ExecutionEnvironment="gpu", ...

VerboseFrequency=50);

% TT = trainMaskRCNN(ds,net,options);

doTraining = true;

if doTraining

[net,info] = trainMaskRCNN(ds,net,options,FreezeSubNetwork="backbone");

modelDateTime = string(datetime("now",Format="yyyy-MM-dd-HH-mm-ss"));

save("trainedMaskRCNN-"+modelDateTime+".mat","net");

end

But i am iaving this error

Error using minibatchqueue

Invalid transform function defined on datastore.

Error in trainMaskRCNN (line 223)

mbqTrain = minibatchqueue(preprocessDS,4, ...

Caused by:

Index in position 3 exceeds array bounds. Index must not exceed 3.

can you help???

[Joss Knight]

I'm not sure, it's possible there's a bug in your custom ReadFcn. Can you put a breakpoint in it and see if it's erroring?