Reading Combined Datastores Converts to Array ?

I have a augmented image datastore and a box label datastore. I am able to read each individually and receive the appropriate syntax. Here is a my augmented image datastore image (I would have included a '.mat' file however since it has directories specific to my computer I do not believe the data will be able to be processed on another computer):

Here is my box label datastore output (Note: the type of the output is a cell array when using the read function):

I believe this is due to how I created my boxLabelDatastore since I used cell2table function, see code below:

blds = boxLabelDatastore(cell2table(lookup_matrix,'VariableNames',{'char_48','char_49','char_50','char_51','char_52','char_53','char_54','char_55','char_56','char_57'}));

When I combine these datastores the bounding box information is converted to an matrix rather than a cell array. See below for code/output:

This Var2 is the bounding box however it is nolonger a cell array which causes an error when attempting to train:

Error using vision.internal.cnn.validation.checkGroundTruthDatastore>iCheckBoxes (line 75)

The bounding box (2nd column) from the read method output of the training input datastore must be an M-by-1 cell array, containing elements of

N-by-4 double matrix, where N equals the number of bounding boxes.

Error in vision.internal.cnn.validation.checkGroundTruthDatastore (line 46)

mSize = iCheckBoxes(boxes);

Error in trainFasterRCNNObjectDetector>iParseInputs (line 1037)

params.ClassNames = vision.internal.cnn.validation.checkGroundTruthDatastore(trainingDs);

Error in trainFasterRCNNObjectDetector (line 408)

[trainingData, options, params] = iParseInputs(...

Error in main_rev1 (line 20)

detector = trainFasterRCNNObjectDetector(ds, lgraph, options, ...

Answer 1

[Shiva Kalyan Diwakaruni]

Hi,

Please refer to the below link

https://www.mathworks.com/matlabcentral/answers/503210-error-using-vision-internal-cnn-validation-checkgroundtruthdatastore-icheckboxes?s_tid=answers_rc1-1_p1_Topic

Hope it helps.