Error in Codegen process when deploying ResNet50 to Raspberry 4B

In Matlab R2022b, I tried to deploy ResNet50 to my Raspberry 4B according to the tutorial below.

https://ww2.mathworks.cn/help/supportpkg/raspberrypiio/ref/identify-objects-within-video-using-resNet-50-on-raspberry-pi-hardware.html?searchHighlight=Identify%20Objects%20Within%20Live%20Video%20Using%20ResNet-50%20on%20Raspberry%20Pi%20Hardware&s_tid=srchtitle_Identify%20Objects%20Within%20Live%20Video%20Using%20ResNet-50%20on%20Raspberry%20Pi%20Hardware_1

Everything goes well until I runned the deploy function. Some errors occured. The process info is listed below.

r=raspi;

board = targetHardware('Raspberry Pi');

board.CoderConfig.TargetLang = 'C++';

dlcfg = coder.DeepLearningConfig('arm-compute');

dlcfg.ArmArchitecture = 'armv7';

r.system('strings $ARM_COMPUTELIB/lib/libarm_compute.so | grep arm_compute_versio | cut -d\ -f 1')

ans = 'arm_compute_version=v20.02.1 '

dlcfg.ArmComputeVersion = '20.02.1';

board.CoderConfig.DeepLearningConfig = dlcfg

board =

targetHardware with properties:

Name: 'Raspberry Pi'

DeviceAddress: '169.254.215.121'

Username: 'pi'

Password: '*********'

BuildDir: '/home/pi'

EnableRunOnBoot: 0

BuildAction: 'Build, load, and run'

CoderConfig: [1×1 coder.CodeConfig]

deploy(board,'raspi_webcam_resnet') % something wrong here, and the report is listed below:

I

Sincerely hope that someone can help.

Thank you very much.