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How to create / update a Docker Image

Opendatacam provides Docker images for the last release as well as automatic developer previews through Opendatacam's Docker Hub.

This document explains the generic steps to create the Docker images for

  • Desktop
  • Xavier
  • Nano
  • CPU

platforms.

1. Build environment​

In order to build the docker images you can either build them natively if you have access to the required Hardware (e.g. a Jetson Nano device), or you can use Docker Buildx for cross platform builds.

The build environment should have the following software installed:

2. Build the image​

The following steps assume a native build. If you are using Docker Buildx to do Multi- or Cross-Platform builds please read the Buildx documentation for the correct commands.

In the exmaple below the following placeholder have been used

  • OPENDATACAM_PLATFORM either nano, xavier or desktop
  • IMAGE_ID the ID of the generated docker image
  • DOCKERHUB_USERNAME your Docker Hub username to tag the image
# Get the Opendatacam source code if you don't have it already
git clone git@github.com:opendatacam/opendatacam.git

# Go to the Opendatacam repository root
cd opendatacam

# Download the weights for your platform
# Nano
wget https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v4_pre/yolov4-tiny.weights
# Desktop and Xavier
wget https://github.com/AlexeyAB/darknet/releases/download/darknet_yolo_v3_optimal/yolov4.weights

# Build the docker image
docker build --file docker/<OPENDATACAM_PLATFORM> -t opendatacam .

# Optional: Tag the local image
sudo docker tag <IMAGE_ID> <DOCKERHUB_USERNAME>/opendatacam:local-<OPENDATACAM_PLATFORM>

2.1. Test The Image (Optional)​

Edit your docker-compose.yml file to use the <DOCKERHUB_USERNAME>/opendatacam:latest-<OPENDATACAM_PLATFORM> image. E.g.

services:
  opendatacam:
    image: <DOCKERHUB_USERNAME>/opendatacam:latest-<OPENDATACAM_PLATFORM>

2.2. Publish the Docker image (Optional)​

# Log into the Docker Hub
docker login --username=<DOCKERHUB_USERNAME>

# Check the image ID
#
# You should see something like:
#
# REPOSITORY              TAG       IMAGE ID         CREATED           SIZE
# opendatacam             latest    023ab91c6291     3 minutes ago     1.975 GB
docker images

# Tag your image if you have not yet done so
docker tag <IMAGE_ID> <DOCKERHUB_USERNAME>/opendatacam:latest-<OPENDATACAM_PLATFORM>

# Untag image (if you made a typo)
docker rmi <DOCKERHUB_USERNAME>/opendatacam:latest-<OPENDATACAM_PLATFORM>

# Push image
docker push <DOCKERHUB_USERNAME>/opendatacam:latest-<OPENDATACAM_PLATFORM>

Appendix​

Xavier and Nano: Note about Darknet Makefile differences for docker build​

Change:

NVCC=nvcc
# to
NVCC=/usr/local/cuda-10.0/bin/nvcc

Change:

COMMON+= -DGPU -I/usr/local/cuda/include/
# to
COMMON+= -DGPU -I/usr/local/cuda-10.0/include/

Change:

LDFLAGS+= -L/usr/local/cuda/lib -lcuda -lcudart -lcublas -lcurand
# to
LDFLAGS+= -L/usr/local/cuda-10.0/lib -lcuda -lcudart -lcublas -lcurand

Change:

LDFLAGS+= -L/usr/local/cuda/lib64 -lcuda -lcudart -lcublas -lcurand
# to
LDFLAGS+= -L/usr/local/cuda-10.0/lib64 -lcuda -lcudart -lcublas -lcurand

Change:

CFLAGS+= -DCUDNN -I/usr/local/cuda/include
LDFLAGS+= -L/usr/local/cuda/lib -lcudnn
# to
CFLAGS+= -DCUDNN -I/usr/local/cuda-10.0/include
LDFLAGS+= -L/usr/local/cuda-10.0/lib -lcudnn

Change:

CFLAGS+= -DCUDNN -I/usr/local/cudnn/include
LDFLAGS+= -L/usr/local/cudnn/lib64 -lcudnn
# to
CFLAGS+= -DCUDNN -I/usr/local/cuda-10.0/include
LDFLAGS+= -L/usr/local/cuda-10.0/lib64 -lcudnn