how to run deep learning project with raspberry pi 4 modelB

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호찬
호찬 on 22 Aug 2023
Commented: 호찬 on 23 Aug 2023
im practicing files with link: https://kr.mathworks.com/matlabcentral/fileexchange/68474-deep-learning-for-defect-detection-on-raspberry-pi?s_tid=srchtitle
but i don't know how to solve this error.
and when i saw this website i can actually understand how should i do.
: https://kr.mathworks.com/help/coder/ug/prerequisites-for-deep-learning-with-matlab-coder.html
this is my installed add-ons.
<< error code>>
Deploying code. This may take a few minutes.
------------------------------------------------------------------------
Error executing command "touch -c /home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction/*.*;make -j$(($(nproc)+1)) -Otarget -f targetFunction_rtw.mk all MATLAB_WORKSPACE="/home/jhch/MATLAB_ws/R2023a" LINUX_TARGET_LIBS_MACRO="" -C /home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction LC_ALL=C". Details:
STDERR: /home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/main_nutsDet_arm.cpp:15:10: fatal error: opencv2/opencv.hpp: No such file or directory
15 | #include "opencv2/opencv.hpp"
| ^~~~~~~~~~~~~~~~~~~~
compilation terminated.
make: *** [targetFunction_rtw.mk:509: main_nutsDet_arm.cpp.o] Error 1
make: *** Waiting for unfinished jobs....
STDOUT: make: Entering directory '/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction'
g++ -c -MMD -MP -MF"MWInputLayer.cpp.dep" -MT"MWInputLayer.cpp.o" -fpermissive -O2 -std=c++11 -mfpu=neon -fopenmp -fopenmp -DUSE_20_02_1_LIBRARY -D__MW_TARGET_USE_HARDWARE_RESOURCES_H__ -D__linux__ -DARM_PROJECT -D_USE_TARGET_UDP_ -D_RUNONTARGETHARDWARE_BUILD_ -DSTACK_SIZE=200000 -DMODEL=targetFunction -I/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction -I/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam -I/opt/ComputeLibrary -I/opt/ComputeLibrary/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/export/include/vision -I/home/jhch/MATLAB_ws/R2023a/C/ProgramData/MATLAB/SupportPackages/R2023a/toolbox/realtime/targets/raspi/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/coder/rtiostream/src/utils -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/extern/include -o "MWInputLayer.cpp.o" "/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction/MWInputLayer.cpp"
make: Leaving directory '/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction'
make: Entering directory '/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction'
g++ -c -MMD -MP -MF"MWMaxPoolingLayer.cpp.dep" -MT"MWMaxPoolingLayer.cpp.o" -fpermissive -O2 -std=c++11 -mfpu=neon -fopenmp -fopenmp -DUSE_20_02_1_LIBRARY -D__MW_TARGET_USE_HARDWARE_RESOURCES_H__ -D__linux__ -DARM_PROJECT -D_USE_TARGET_UDP_ -D_RUNONTARGETHARDWARE_BUILD_ -DSTACK_SIZE=200000 -DMODEL=targetFunction -I/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction -I/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam -I/opt/ComputeLibrary -I/opt/ComputeLibrary/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/export/include/vision -I/home/jhch/MATLAB_ws/R2023a/C/ProgramData/MATLAB/SupportPackages/R2023a/toolbox/realtime/targets/raspi/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/coder/rtiostream/src/utils -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/extern/include -o "MWMaxPoolingLayer.cpp.o" "/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction/MWMaxPoolingLayer.cpp"
make: Leaving directory '/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction'
g++ -c -MMD -MP -MF"insertShapeUtilsCore.cpp.dep" -MT"insertShapeUtilsCore.cpp.o" -fpermissive -O2 -std=c++11 -mfpu=neon -fopenmp -fopenmp -DUSE_20_02_1_LIBRARY -D__MW_TARGET_USE_HARDWARE_RESOURCES_H__ -D__linux__ -DARM_PROJECT -D_USE_TARGET_UDP_ -D_RUNONTARGETHARDWARE_BUILD_ -DSTACK_SIZE=200000 -DMODEL=targetFunction -I/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction -I/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam -I/opt/ComputeLibrary -I/opt/ComputeLibrary/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/export/include/vision -I/home/jhch/MATLAB_ws/R2023a/C/ProgramData/MATLAB/SupportPackages/R2023a/toolbox/realtime/targets/raspi/include -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/coder/rtiostream/src/utils -I/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/extern/include -o "insertShapeUtilsCore.cpp.o" "/home/jhch/MATLAB_ws/R2023a/C/Program_Files/MATLAB/R2023a/toolbox/vision/builtins/src/vision/insertShapeUtilsCore.cpp"
make: Leaving directory '/home/jhch/MATLAB_ws/R2023a/C/matlap-lab/programs/RaspPi_19aCam/codegen/exe/targetFunction'
------------------------------------------------------------------------
Build error: C++ compiler produced
errors. See the Build Log for further
details.
More information
Code generation failed: View Error Report

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Answers (1)

MathWorks MATLAB Hardware Team
Edited: MathWorks MATLAB Hardware Team on 22 Aug 2023
Hi,
It appears that OpenCV and ARM Compute libraries are not installed on your hardware. To resolve this, you can follow these steps using the hardware setup screen.
  • Go to Home tab -> click on Add-Ons dropdown
  • Select Manage Add-Ons
  • Search for MATLAB Support Package for Raspberry Pi Hardware
  • Click on the gear icon at then end
  • Follow the screens
  • Select "Yes" from Install ARM Compute Library screen
  • Select "Yes" from Install OpenCV Library screen
Refer to the following link to know more,
https://in.mathworks.com/help/supportpkg/raspberrypiio/examples.html?category=index&exampleproduct=all&s_tid=CRUX_lftnav
Thanks,
MATLAB Hardware Team
MathWorks
  1 Comment
호찬
호찬 on 23 Aug 2023
hi thank you for your answer!!
but after i followed steps you suggested, i can't still run these code.
is there i have to do about " environment variables"??

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