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arm64v8_dockers's Introduction

Docker images for Voxl Board

Essential packages

  • ROS melodic (base)
  • Python3.6 and corresponding tensorflow lite
  • Essential pythong packages: Pillow, Numpy, Cython
  • ROS catkin_tools (needs a hack to disable pty)

Optional packages

  • Opencv-python: uncomment the corresponding line in Dockerfile to install

Prerequisites

  • Install Docker CE
  • Install qemu tools

To install Docker CE

bash install_docker_ce.sh

To install qemu tools

sudo apt install binfmt-support
sudo apt install qemu-user-static android-tools-adb android-tools-fastboot

Build

There are two ways to build and run: onboard (VOXL) and on x86 machines (laptop, desktop...)

Build on board

docker build -t <image_name>:<tag_name> .

Build on an x86 machine

Make sure the you've installed the prerequisites

docker run --rm --privileged multiarch/qemu-user-static --reset -p yes
bash build_docker_image.sh

Usage

Create a container

bash create_docker_container.sh

Make sure the name of the docker image and the container are satisfied.

Attach to a running container

bash attach_docker_container.sh

arm64v8_dockers's People

Contributors

tdinesh avatar tynguyen avatar tyunist avatar tyuezhan avatar

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