how to run deep learning project with raspberry pi 4 modelB

Question

호찬 2023년 8월 22일

0
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이 질문에 대한 바로 가기 링크

https://kr.mathworks.com/matlabcentral/answers/2011307-how-to-run-deep-learning-project-with-raspberry-pi-4-modelb

댓글: 호찬 2023년 8월 23일

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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Answer 1

MathWorks MATLAB Hardware Team 2023년 8월 22일

0
링크

이 답변에 대한 바로 가기 링크

https://kr.mathworks.com/matlabcentral/answers/2011307-how-to-run-deep-learning-project-with-raspberry-pi-4-modelb#answer_1291207

편집: MathWorks MATLAB Hardware Team 2023년 8월 22일

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.