How to deploy a matlab function to raspberry pi 3b+

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I've try to deploy a matlab function into my raspberry pi. Bellow is my matlab function and my deployment script :

function raspi_gneet_es_proj()
raspiObj=raspi();
cam=cameraboard(raspiObj,'Resolution','1920x1080');
 
net=coder.loadDeepLearningNetwork('MyNet_Result.mat','MyNetResult');
ukuran=net.Layers(1).InputSize;
ukuran=ukuran(1:2);
 
to_show="..........";
 
start=tic;
fprintf('Entry While Loop..... \n');
 
while true
    img=snapshot(cam);
    el_time=toc(start);
    if el_time>1
        IMG=imresize(img,ukuran);
        [label,score]=net.classify(IMG);
        max_scr=max(score);
        label_str=string(label);
        to_show=sprintf("Label : %s \n Score : %f \n",label_str,max_scr);
        start=tic;
    end
    img_label=insertText(img,[0 0],to_show);
    displayImage(raspiObj,img_label);
end
end

and bellow is my deployment script :

board=targetHardware("Raspberry Pi");
board.CoderConfig.TargetLang="C++";
 
dlcfg=coder.DeepLearningConfig("arm-compute");
dlcfg.ArmArchitecture="armv7";
dlcfg.ArmComputeVersion="19.05";
board.CoderConfig.DeepLearningConfig=dlcfg;
 
deploy(board,'raspi_gneet_es_proj')

and i got this error message :

Operands to the || and && operators must be convertible to logical scalar values.
Error in coder.Hardware
Error in coder.Hardware
Error in coder.matlabtarget.Hardware
Error in targetHardware (line 32)
            obj = obj@coder.matlabtarget.Hardware(name);