Getting started with TI Jacinto 7 Edge AI/Demos/C++ Demos/Build the Docker container & apps

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Build the Docker container & apps

C++ Demos need to be run in a Docker image. This section shows the steps necessary to build the Docker container and demos.

Build the Docker container

• Login to your Jacinto 7 and navigate to the docker directory:

cd /opt/edge_ai_apps/docker/

• Build the Docker container:

./docker_build.sh

• The command line should display something like the following:

Sending build context to Docker daemon  24.06kB
Step 1/13 : FROM arm64v8/ubuntu:20.04 as edgeaikit
 ---> 6a98cbe39225
Step 2/13 : ARG DEBIAN_FRONTEND=noninteractive
 ---> Using cache
 ---> 7099b799debf
Step 3/13 : ARG NPROC=1
 ---> Using cache
 ---> a7a8c2e2e6a7
Step 4/13 : ARG PROJECT_NAME=edge_ai_apps
 ---> Using cache
 ---> 9ead13dbe218
Step 5/13 : ENV USE_PROXY=none
 ---> Using cache
 ---> 9d192f292557
Step 6/13 : ADD entrypoint.sh setup_proxy.sh setup_ti_processor_sdk.sh /usr/bin/
 ---> Using cache
 ---> c29446d2018a
Step 7/13 : RUN /usr/bin/setup_proxy.sh
 ---> Using cache
 ---> 69a09af4e3e4
Step 8/13 : RUN apt-get update -y && apt-get dist-upgrade -y && apt-get install -y     glib-2.0-dev     ncurses-dev     libgtk-3-dev     libavcodec-dev     libavformat-dev     libswscale-dev     libv4l-dev     libxvidcore-dev     libx264-dev     libjpeg-dev     libpng-dev     libtiff-dev     libatlas-base-dev     libtbb2     libtbb-dev     libdc1394-22-dev     libgl-dev     libopencv-core-dev     libopencv-imgproc-dev     libglib2.0-0     libyaml-cpp-dev     libboost-all-dev
 ---> Using cache
 ---> f27f0998d648
Step 9/13 : RUN apt-get install -y     build-essential     cmake     ninja-build     git     wget     unzip     pkg-config     gfortran     openexr
 ---> Using cache
 ---> 361b456bb40d
Step 10/13 : RUN apt-get install -y     python3     python3-dev     python3-numpy     python3-opencv     python3-pip &&     pip3 install         jupyterlab         meson         PyYAML         Dlr &&     pip3 install --extra-index-url https://google-coral.github.io/py-repo/ tflite_runtime
 ---> Using cache
 ---> 97b0a6b00425
Step 11/13 : RUN apt-get install -y     vim     rsync     strace     gdb     net-tools     dialog     chrony     nfs-common
 ---> Using cache
 ---> 3291eeb37839
Step 12/13 : RUN apt-get install -y     libgstreamer1.0-0     libgstreamer1.0-dev     libgstreamer-plugins-base1.0-dev     gstreamer1.0-plugins-base     gstreamer1.0-plugins-good     gstreamer1.0-plugins-bad     gstreamer1.0-libav     gstreamer1.0-tools &&     rm -rf /var/lib/apt/lists/* /tmp/* /var/tmp/*
 ---> Using cache
 ---> 79677fd988fd
Step 13/13 : ENTRYPOINT ["/usr/bin/entrypoint.sh"]
 ---> Using cache
 ---> a27e6ab55a78
Successfully built a27e6ab55a78
Successfully tagged edge_ai_kit:latest
tensorflow

• Run the Docker container:

./docker_run.sh

• After running the containter, your session should display a [docker] label before the root username:

[docker] root@j7-evm:/#

Build the C++ demos

• Navigate to the C++ apps directory:

cd /opt/edge_ai_apps/apps_cpp/

• Build the apps:

mkdir build
cd build
cmake ..
make