Note: This section is basically from https://github.com/openmv/openmv/blob/master/src/README.md. Please refer to the OpenMV's repo for more details or steps on different env.

sudo apt-get update
sudo apt-get install git build-essential

Install GNU ARM toolchain

Install arm toolchain
TOOLCHAIN_PATH=/usr/local/arm-none-eabi
TOOLCHAIN_URL="https://armkeil.blob.core.windows.net/developer/Files/downloads/gnu-rm/10-2020q4/gcc-arm-none-eabi-10-2020-q4-major-x86_64-linux.tar.bz2"
sudo mkdir ${TOOLCHAIN_PATH}
wget --no-check-certificate -O - ${TOOLCHAIN_URL} | sudo tar --strip-components=1 -jx -C ${TOOLCHAIN_PATH}
export PATH=${TOOLCHAIN_PATH}/bin:${PATH}

Clone the OpenMV source

cd tinyengine/examples/openmv_person_detection/
git clone https://github.com/openmv/openmv.git

Currently, we don't have compatibility tests for the OpenMV source, so let's use the version that has been manually tested before.

cd openmv
git checkout 918ccb937730cc759ee5709df089d9de516dc7bf
git submodule update --init --recursive

Build the source

Let's first build the firmware from the source to make sure all required dependencies are correctly installed. The TARGET is set to OPENMV4 for OpenMV Cam H7.

make -j4 -C src/micropython/mpy-cross
make -j4 TARGET=OPENMV4 -C src

You should see the compiled binary at openmv/src/build/bin/firmware.bin.

Apply customized patch

The patch is to

disable some features in the firmware for SRAM and Flash space
setup for TinyEngine source
add the detection application code in exampleemodule.c

cd tinyengine/examples/openmv_person_detection/openmv
git apply ../openmv_person_detection.patch

Generate model-specific code for person detectopn

cd tinyengine/examples/openmv_person_detection
sh gen_code.sh

Copy the generated code at tinyengine/example/openmv_person_detection/codegen into TinyEngie.

Recompile the firmware with TinyEngine

cd openmv/
make -j4 TARGET=OPENMV4 -C src

Flash the binary openmv/src/build/bin/firmware.bin into your OpenMV. Please refer to the official Instructions.

Start the demo

Open OpenMV IDE
Connect your OpenMV cam to the PC
Run the python script tinyengine/examples/openmv_person_detection/person_detection_demo.py in OpenMV IDE.