...

$ cd ${SDK_DIR}/src/adamapp-py/yuv_yolo_app/external/lib/aarch64-linux-gnu/
$ aarch64-linux-gnu-strip --strip-debug libopencv_world.so.3.4.7

...

Place the downloaded files to “${SDK_DIR}/external/build/sample/docker/docker_volume” directory.

Update compilation instructions file

Put the compilation instructions in “${SDK_DIR}/external/build/sample/docker/docker_volume/module_compile.sh” file.

Please copy the content below.

#!/bin/sh -x

HOME_PATH=/home/docker

OPENSSL_ARCHIVES=openssl-OpenSSL_1_1_1i.tar.gz
OPENSSL_DIR=openssl-OpenSSL_1_1_1i

PYCURL_ARCHIVES=pycurl-7.45.2.tar.gz
PYCURL_DIR=pycurl-7.45.2

apt update
apt install libcurl4-openssl-dev libssl-dev

cd ${HOME_PATH}
tar zxf ${OPENSSL_ARCHIVES}
cd ${OPENSSL_DIR}
./Configure linux-aarch64
make

export PYCURL_SSL_LIBRARY=openssl
export CPPFLAGS=-I${HOME_PATH}/${OPENSSL_DIR}/include/openssl
export LDFLAGS=-L${HOME_PATH}/${OPENSSL_DIR}

## for pycurl
cd ${HOME_PATH}
tar zxf ${PYCURL_ARCHIVES}
cd ${PYCURL_DIR}
python3.7 setup.py --with-openssl --openssl-dir=${HOME_PATH}/${OPENSSL_DIR} build

Compile

Compile pycurl module and OpenSSL module using docker.

...

Update compilation instructions file

Put the compilation instructions in “${SDK_DIR}/external/build/sample/docker/docker_volume/module_compile.sh” file.

Please copy the content below.

#!/bin/sh -x

HOME_PATH=/home/docker

OPENSSL_ARCHIVES=openssl-OpenSSL_1_1_1i.tar.gz
OPENSSL_DIR=openssl-OpenSSL_1_1_1i

PYCURL_ARCHIVES=pycurl-7.45.2.tar.gz
PYCURL_DIR=pycurl-7.45.2

apt update
apt install libcurl4-openssl-dev libssl-dev

cd ${HOME_PATH}
tar zxf ${OPENSSL_ARCHIVES}
cd ${OPENSSL_DIR}
./Configure linux-aarch64
make

export PYCURL_SSL_LIBRARY=openssl
export CPPFLAGS=-I${HOME_PATH}/${OPENSSL_DIR}/include/openssl
export LDFLAGS=-L${HOME_PATH}/${OPENSSL_DIR}

## for pycurl
cd ${HOME_PATH}
tar zxf ${PYCURL_ARCHIVES}
cd ${PYCURL_DIR}
python3.7 setup.py --with-openssl --openssl-dir=${HOME_PATH}/${OPENSSL_DIR} build

Compile

Compile pycurl module and OpenSSL module using docker.

Run Docker in “${SDK_DIR}/external/build/sample/docker” directory.

$ docker run --rm -it --name aarch64-ubuntu -v `pwd`/docker_volume:/home/docker compile/ubuntu-rel:0.1

The compiled module is created in “external/build/sample/docker/docker_volume/install_path”.

Deployment in AdamApp

Deploy the modules to use them with AdamApp.

Here we take “${SDK_DIR}/src/adamapp-py/hogehoge_app” as an example.

Deploy PyCurl

PyCurl module is installed in the following directory.

${SDK_DIR}/external/build/sample/docker/docker_volume/pycurl-7.45.2/build/lib.linux-aarch64-3.7

pycurl.cpython-37m-aarch64-linux-gnu.so

Copy the above file to the AdamApp source directory.

${SDK_DIR}/src/adamapp-py/hogehoge_app/python/site-packages

$ cp -R ${SDK_DIR}/external/build/sample/docker/docker_volume/pycurl-7.45.2/build/lib.linux-aarch64-3.7/pycurl.cpython-37m-aarch64-linux-gnu.so ${SDK_DIR}/src/adamapp-py/hogehoge_app/python/site-packages

Then, the directory structure will be as follows.

${SDK_DIR}/src/adamapp-py/hogehoge_app/python/site-packages/pycurl.cpython-37m-aarch64-linux-gnu.so

Modify the source code to load PyCurl

Open “${SDK_DIR}/src/adamapp-py/hogehoge_app/python/pymain.py” and add as follows.

import os;

Add the following one line below.

import pycurl;

...

Build the sample application

Build the sample application "hogehoge_app" and install it on the camera (eg, it can be installed from the green frame in the image below).

Please perform the build method according to each SDK version.

...

Compile a Python module (Numba)

...

This article describes the steps to build Numba, which is used to speed up Python.

Download source code

Several modules are required to run Numba. Please download each source code from the URL below. Also, please select a version of each module that is compatible with Python 3.7.9.

Numba 0.56.4:
https://github.com/numba/numba/archive/refs/tags/0.56.4.zip

Numpy 1.19.4:
https://github.com/numpy/numpy/archive/v1.19.4.tar.gz

LLVM 11.1.0:
https://github.com/llvm/llvm-project/archive/refs/tags/llvmorg-11.1.0.tar.gz

llvmlite 0.39.1:
https://github.com/numba/llvmlite/archive/refs/tags/v0.39.1.tar.gz

importlib_metadata 6.7.0:
https://github.com/python/importlib_metadata/archive/refs/tags/v6.7.0.zip

typing_extensions 4.7.1:
https://github.com/python/typing_extensions/archive/refs/tags/4.7.1.zip

zipp 3.15.0:
https://github.com/jaraco/zipp/archive/refs/tags/v3.15.0.zip

Place the downloaded file in the following directory. ${SDK_DIR}/external/build/sample/docker/docker_volume

Update the compilation instructions file

The compilation procedure is described in the file below.
${SDK_DIR}/external/build/sample/docker/docker_volume/module_compile.sh

Please copy the content below.

#!/bin/sh -x

#----------
HOME_PATH=/home/docker
LIB_INSTALL_DIR=${HOME_PATH}/install_path
SITE_PACKAGES=${LIB_INSTALL_DIR}/lib/python3.7/site-packages

NUMPY_ARCHIVES=numpy-1.19.4.tar.gz
NUMPY_DIR=numpy-1.19.4

LLVM_ARCHIVES=llvm-project-llvmorg-11.1.0.tar.gz
LLVM_DIR=llvm-project-llvmorg-11.1.0
LLVM_INSTALL_DIR=${LIB_INSTALL_DIR}/llvm
LLVM_PATCH_SRC=${LLVMLITE_DIR}/conda-recipes
LLVM_PATCH_DST=${LLVM_DIR}/llvm

LLVMLITE_ARCHIVES=llvmlite-0.39.1.tar.gz
LLVMLITE_DIR=llvmlite-0.39.1

NUMBA_ARCHIVES=numba-0.56.4.zip
NUMBA_DIR=numba-0.56.4

#----------

# NumPy
cd ${HOME_PATH}
mkdir -p ${SITE_PACKAGES}
tar xf ${NUMPY_ARCHIVES}
cd ${NUMPY_DIR}
python setup.py build
PYTHONPATH=$PYTHONPATH:${SITE_PACKAGES}
export PYTHONPATH
python setup.py install --prefix=${LIB_INSTALL_DIR}


# LLVM / llvmlite
cd ${HOME_PATH}
tar xf ${LLVM_ARCHIVES}
tar xf ${LLVMLITE_ARCHIVES}

cd ${LLVM_PATCH_DST}
for patchFile in $(find ../../${LLVM_PATCH_SRC} -name "*.patch" -type f); do
	patch --dry-run -f -p1 -i ${patchFile}
	if [ $? -eq 0 ]; then
		patch -p1 -i ${patchFile}
	fi
done

LLVM_BUILD_SH="../../${LLVMLITE_DIR}/conda-recipes/llvmdev/build.sh"
mkdir -p ${LLVM_INSTALL_DIR}
export PREFIX=${LLVM_INSTALL_DIR} CPU_COUNT=2
sed -i -e "s/\(^LLVM_TARGETS_TO_BUILD=\).*/\1\$\{LLVM_TARGETS_TO_BUILD:-\"AArch64\"\}/" ${LLVM_BUILD_SH}
sed -i -e "/LLVM_ENABLE_ASSERTIONS/d" ${LLVM_BUILD_SH}
sed -i -e "/LLVM_EXPERIMENTAL_TARGETS_TO_BUILD/d" ${LLVM_BUILD_SH}
chmod +x ${LLVM_BUILD_SH}
${LLVM_BUILD_SH}
cd ../../

cd ${LLVMLITE_DIR}
export LLVM_CONFIG=${LLVM_INSTALL_DIR}/bin/llvm-config
python setup.py build
python setup.py install --prefix=${LIB_INSTALL_DIR}
cd ../


# numba
unzip ${NUMBA_ARCHIVES}
cd ${NUMBA_DIR}
export NUMBA_DISABLE_TBB=1
python setup.py build
python setup.py install --prefix=${LIB_INSTALL_DIR}
cd ../


# replace some libraries compatible with python3.7
cd ${HOME_PATH}
unzip importlib_metadata-6.7.0.zip
mv importlib_metadata-6.7.0/importlib_metadata ${SITE_PACKAGES}
unzip typing_extensions-4.7.1.zip
mv typing_extensions-4.7.1/src/typing_extensions.py ${SITE_PACKAGES}
unzip zipp-3.15.0.zip
mv zipp-3.15.0/zipp ${SITE_PACKAGES}


# cleanup
cd ${SITE_PACKAGES}
rm -f easy-install.pth setuptools.pth site.py
find . -maxdepth 2 -name numpy -type d -exec mv {} . \;
find . -maxdepth 2 -name numba -type d -exec mv {} . \;
rm -rf *.egg*
find . -name *pycache* -type d -print | xargs rm -rf
find . -name tests -type d -print | xargs rm -rf
find . -name *.so | xargs aarch64-linux-gnu-strip --strip-debug
cd ${HOME_PATH}

compile

Compile each module using Docker.
Run Docker in the directory below.
${SDK_DIR}/external/build/sample/docker” directory.docker

$ docker run --rm -it --name aarch64-ubuntu -v `pwd`/docker_volume:/home/docker compile/ubuntu-rel:0.1

The compiled module is created in “external/build/sample/docker/docker_volume/install_path”.

Deployment in AdamApp

Deploy the modules to use them with AdamApp.

Here we take “${SDK_DIR}/src/adamapp-py/additional_info_sample_app” as an example.

Deploy PyCurl

PyCurl module is installed in the following directoryCompiled modules are placed in the following directories.
${SDK_DIR}/external/build/sample/docker/docker_volume/

...

pycurl.cpython-37m-aarch64-linux-gnu.so

Copy the above file to the AdamApp source directoryinstall_path/lib/python3.7/site-packages

Place in AdamApp

Place the created module so that it can be used by AdamApp.
The tutorial uses the following as an example.
${SDK_DIR}/src/adamapp-py/

...

yuv_

...

yolov5_

...

app

Place the module

Copy the compiled module to the AdamApp source directory, keeping the directory structure as is.

$ cp -R ${SDK_DIR}/external/build/sample/docker/docker_volume/

...

Then, the directory structure will be as follows.

install_path/lib/python3.7/site-packages ${SDK_DIR}/src/adamapp-py/additionalyuv_info_sampleyolov5_app/python/site-packages/pycurl.cpython-37m-aarch64-linux-gnu.so

...

update pymain.py

Change the source code to

...

Open “${SDK_DIR}/src/adamapp-py/additional_info_sample_app/python/pymain.py” and add as follows.

import os;

Add the following one line below.

import pycurl;

...

Build the sample application

Build the sample application "additional_info_samplebe compatible with numba. Replace the attached file "pymain.py" with the file below.
\src\adamapp-py\yuv_yolov5_app\python\pymain.py

Build the sample app

Build the sample app "yuv_yolov5_app" and install it on the camera (eg, it can be installed from the green frame in the image below). Please perform the build method according to each SDK version. Open When you open the app screen (red frame button in the image below), and if the string is displayed like "body", it is successful.

...

, if there is a frame around the object (such as a person) on the screen, it is a success.

Please also refer to the operation explanation of the sample application.

If it fails, a message will be displayed on the application screen indicating that the application has failed to start. From now on, please use the message content and debugging tools to solve the problem and create an application.

...