This demo is a simple Neural Network powered estimator for the values of the sin function at different points. We represent this as a floating 'ball', which glides around a sine shaped trajectory.

You may also be interested in our wrapper repository stm32-tflm-demos for further details.

mkdir build
cd build
cmake -DTF_COMMIT=37c2bf5016fcbed261476386eced503e907cdc01 ..
make
make flash

For more details about build instruction, see the main README.

Other make targets we provide include make debug and make convert (to convert the *.tflite file into tfite_micro_compiler sources).

Fetching the dependencies (Tensorflow, STM32 Firmware) for the first time can take a very long time. You can either take a break or do the following to speed-up the process when using multiple examples:

export SOME_DIRECTORY=<CHOOSE_SOME_PATH>
git clone --recursive https://github.com/tensorflow/tensorflow.git $SOME_DIRECTORY/tensorflow
git clone https://github.com/mborgerding/kissfft.git $SOME_DIRECTORY/kissfft
git clone https://github.com/STMicroelectronics/STM32CubeF4 $SOME_DIRECTORY/STM32CubeF4
git clone https://github.com/STMicroelectronics/STM32CubeF7 $SOME_DIRECTORY/STM32CubeF7
git clone https://github.com/ARM-software/CMSIS_5.git $SOME_DIRECTORY/CMSIS_5
$SOME_DIRECTORY/tensorflow/tensorflow/lite/tools/make/download_dependencies.sh

After doing this a single time, just replace cmake .. with the following command in the future:

cmake -DTF_SRC=$SOME_DIRECTORY/tensorflow -DSTM32Cube_DIR=$SOME_DIRECTORY/STM32CubeF7 -DARM_CMSIS_SRC=$SOME_DIRECTORY/CMSIS_5 -DKISSFFT_SRC=$SOME_DIRECTORY/kissfft ..

Tipp: Swap out STM32CubeF7 with STM32CubeF4 when building for the F413ZH board!

It is mandatory to delete CMakeCache.txt after changing the STM32 board. Sometimes, you need to delete the _deps folder under build before running cmake .. again.