Error generating MEX PIL due to missing header file for deployment of TFLite model to Raspberry Pi

Hi!
I am encountering a problem when I am trying to deploy a TFLite mode for semantic segmentation on Raspberry Pi. I was following this example by following openExample(‘deeplearning_shared/SemanticSegmentationUsingTFLiteModelOnHostAndRasPiExample’)
Before running this example, I have installed the TFLite library on both the local Windows computer directly under "C:tensorflow-2.15.0" following this link:
https://www.mathworks.com/matlabcentral/answers/1631265-matlab-coder-how-do-i-build-tensorflow-lite-for-deep-learning-c-code-generation-and-deployment
and Raspberry Pi 4b (buster; 32bit OS) under "/home/pi/tensorflow/tensorflow/" following this:
https://qengineering.eu/install-tensorflow-2-lite-on-raspberry-pi-4.html
Additionally, the environment variables are set on both the local and raspi machines according to:
https://www.mathworks.com/help/deeplearning/ug/prerequisites-for-deep-learning-with-tensorflow-lite-models.html

While I had no problem with generating the MEX file on the local Windows computer with this section of codes in the example:
cfg = coder.config(‘mex’);
cfg.TargetLang = ‘C++’;
codegen -config cfg tflite_semantic_predict -args ones(257, 257,3,’single’)
I encountered errors when I tried to generate the MEX PIL function through
cfg = coder.config(‘lib’,’ecoder’,true);
cfg.TargetLang = ‘C++’;
cfg.VerificationMode = ‘PIL’;
hw = coder.hardware(‘Raspberry Pi’);
cfg.Hardware = hw;
codegen -config cfg tflite_semantic_predict -args ones(257,257,3,’single’)
I have attached the entire error message in the txt file. Part of the error message reads:
fatal error: kernels/register.h: No such file or directory
#include "kernels/register.h"
However, when I searched the directories indicated by the environment variables, I could find the kernels/register.h file on both the Windows and RPi machines under the PATH (in Windows) or LD_LIBRARY_PATH (in RPi) variables. Please see the attached screenshots.
Here is how I set the environmental variables. On RPI, I executed:
export TFLITE_PATH="/home/pi/tensorflow/tensorflow"
export LD_LIBRARY_PATH="/home/pi/tensorflow/tensorflow/tensorflow/lite"
export TFLITE_MODEL_PATH="/home/pi"
and on Windows, I directly edited the environmental variable TFLITE_PATH and amended Path variable.
I’d appreciate any advice on how to resolve this missing header file issue by MATLAB coder.
Thank you all!Hi!
I am encountering a problem when I am trying to deploy a TFLite mode for semantic segmentation on Raspberry Pi. I was following this example by following openExample(‘deeplearning_shared/SemanticSegmentationUsingTFLiteModelOnHostAndRasPiExample’)
Before running this example, I have installed the TFLite library on both the local Windows computer directly under "C:tensorflow-2.15.0" following this link:
https://www.mathworks.com/matlabcentral/answers/1631265-matlab-coder-how-do-i-build-tensorflow-lite-for-deep-learning-c-code-generation-and-deployment
and Raspberry Pi 4b (buster; 32bit OS) under "/home/pi/tensorflow/tensorflow/" following this:
https://qengineering.eu/install-tensorflow-2-lite-on-raspberry-pi-4.html
Additionally, the environment variables are set on both the local and raspi machines according to:
https://www.mathworks.com/help/deeplearning/ug/prerequisites-for-deep-learning-with-tensorflow-lite-models.html

While I had no problem with generating the MEX file on the local Windows computer with this section of codes in the example:
cfg = coder.config(‘mex’);
cfg.TargetLang = ‘C++’;
codegen -config cfg tflite_semantic_predict -args ones(257, 257,3,’single’)
I encountered errors when I tried to generate the MEX PIL function through
cfg = coder.config(‘lib’,’ecoder’,true);
cfg.TargetLang = ‘C++’;
cfg.VerificationMode = ‘PIL’;
hw = coder.hardware(‘Raspberry Pi’);
cfg.Hardware = hw;
codegen -config cfg tflite_semantic_predict -args ones(257,257,3,’single’)
I have attached the entire error message in the txt file. Part of the error message reads:
fatal error: kernels/register.h: No such file or directory
#include "kernels/register.h"
However, when I searched the directories indicated by the environment variables, I could find the kernels/register.h file on both the Windows and RPi machines under the PATH (in Windows) or LD_LIBRARY_PATH (in RPi) variables. Please see the attached screenshots.
Here is how I set the environmental variables. On RPI, I executed:
export TFLITE_PATH="/home/pi/tensorflow/tensorflow"
export LD_LIBRARY_PATH="/home/pi/tensorflow/tensorflow/tensorflow/lite"
export TFLITE_MODEL_PATH="/home/pi"
and on Windows, I directly edited the environmental variable TFLITE_PATH and amended Path variable.
I’d appreciate any advice on how to resolve this missing header file issue by MATLAB coder.
Thank you all! Hi!
I am encountering a problem when I am trying to deploy a TFLite mode for semantic segmentation on Raspberry Pi. I was following this example by following openExample(‘deeplearning_shared/SemanticSegmentationUsingTFLiteModelOnHostAndRasPiExample’)
Before running this example, I have installed the TFLite library on both the local Windows computer directly under "C:tensorflow-2.15.0" following this link:
https://www.mathworks.com/matlabcentral/answers/1631265-matlab-coder-how-do-i-build-tensorflow-lite-for-deep-learning-c-code-generation-and-deployment
and Raspberry Pi 4b (buster; 32bit OS) under "/home/pi/tensorflow/tensorflow/" following this:
https://qengineering.eu/install-tensorflow-2-lite-on-raspberry-pi-4.html
Additionally, the environment variables are set on both the local and raspi machines according to:
https://www.mathworks.com/help/deeplearning/ug/prerequisites-for-deep-learning-with-tensorflow-lite-models.html

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