Lacking Understanding for boxLabelDatastore command

Hi All,

I am working on a Fast RCNN example and i am finding it challenging to move forward from my errors.

everytime I run my code I keep getting an error

can a someone with greater experience assit me please? Thank you in advance for acknowledging my digital presence.

This the error!!!!

Undefined function or variable 'boxLabelDatastore'.

Error in trainFastRCNNObjectDetector (line 19)
blds = boxLabelDatastore(stopSigns(:,2:end));

This is my code:

%% 1 Loading Data
data = load('rcnnStopSigns.mat', 'stopSigns', 'fastRCNNLayers');
stopSigns = data.stopSigns;
fastRCNNLayers = data.fastRCNNLayers;

%% 2 Add Full Path To Image Files
stopSigns.imageFilename = fullfile(toolboxdir('vision'),'visiondata', ...
stopSigns.imageFilename);

%% 3 Randomly shuffling Data For Training
rng(0);
shuffledIdx = randperm(height(stopSigns));
stopSigns = stopSigns(shuffledIdx,:);

%% 4 Creating ImageDatastore Utilising Table Files
imds = imageDatastore(stopSigns.imageFilename);

%% 5 Creating A BoxLabelDatastore Utilising Label Columns From The Table
blds = boxLabelDatastore(stopSigns(:,2:end));

%% 6 Combining the Datastores
ds = combine(imds, blds);

%% 7 Applying Preprocessing/Resizing Image & Boxes For Predefined Size
ds = transform(ds,@(data)preprocessData(data,[920 968 3]));

%% 8 Setting Network Training Options
options = trainingOptions('sgdm', ...
    'MiniBatchSize', 10, ...
    'InitialLearnRate', 1e-3, ...
    'MaxEpochs', 10, ...
    'CheckpointPath', tempdir);

%% 9 Training The Fast R-CNN Detector
frcnn = trainFastRCNNObjectDetector(ds, fastRCNNLayers , options, ...
'NegativeOverlapRange', [0 0.1],'PositiveOverlapRange', [0.7 1]);

%% 10 Testing The Fast R-CNN Detector On Test Image
img = imread('stopSignTest.jpg');

%% 11 Running The Detector Results
detectedImg = insertObjectAnnotation(img,'rectangle',bbox,score);
figure
imshow(detectedImg)

Answer 1

[Srivardhan Gadila]

The function boxLabelDatastore is introduced in R2019b release. Please use the function in MATLAB R2019b.