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build.sh
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build.sh
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#!/usr/bin/env bash
#
# This script builds the jetson-inference docker container from source.
# It should be run from the root dir of the jetson-inference project:
#
# $ cd /path/to/your/jetson-inference
# $ docker/build.sh
#
# Also you should set your docker default-runtime to nvidia:
# https://github.com/dusty-nv/jetson-containers#docker-default-runtime
#
BASE_IMAGE=$1
# find L4T_VERSION
source docker/tag.sh
if [ -z $BASE_IMAGE ]; then
if [ $ARCH = "aarch64" ]; then
if [ $L4T_VERSION = "35.4.1" ]; then
BASE_IMAGE="dustynv/l4t-pytorch:r35.4.1"
elif [ $L4T_VERSION = "35.3.1" ]; then
BASE_IMAGE="dustynv/l4t-pytorch:r35.3.1"
elif [ $L4T_VERSION = "35.2.1" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r35.2.1-pth2.0-py3"
elif [ $L4T_VERSION = "35.1.0" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r35.1.0-pth1.12-py3"
elif [ $L4T_VERSION = "34.1.1" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r34.1.1-pth1.12-py3"
elif [ $L4T_VERSION = "34.1.0" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r34.1.0-pth1.12-py3"
elif [ $L4T_VERSION = "32.7.1" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.7.1-pth1.10-py3"
elif [ $L4T_VERSION = "32.6.1" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.6.1-pth1.9-py3"
elif [ $L4T_VERSION = "32.5.1" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.5.0-pth1.6-py3"
elif [ $L4T_VERSION = "32.5.0" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.5.0-pth1.6-py3"
elif [ $L4T_VERSION = "32.4.4" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.4.4-pth1.6-py3"
elif [ $L4T_VERSION = "32.4.3" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.4.3-pth1.6-py3"
elif [ $L4T_VERSION = "32.4.2" ]; then
BASE_IMAGE="nvcr.io/nvidia/l4t-pytorch:r32.4.2-pth1.5-py3"
else
echo ""
echo "On L4T R$L4T_VERSION, please use jetson-containers to build the docker image with these commands:"
echo ""
echo " git clone https://github.com/dusty-nv/jetson-containers"
echo " bash jetson-containers/install.sh"
echo " jetson-containers build jetson-inference"
echo ""
exit 1
fi
elif [ $ARCH = "x86_64" ]; then
BASE_IMAGE="nvcr.io/nvidia/pytorch:$CONTAINER_TAG-py3"
fi
fi
echo "BASE_IMAGE=$BASE_IMAGE"
echo "CONTAINER_IMAGE=$CONTAINER_LOCAL_IMAGE"
# distro release-dependent build options
source docker/containers/scripts/opencv_version.sh
# build the container
sudo docker build -t $CONTAINER_LOCAL_IMAGE -f Dockerfile \
--build-arg BASE_IMAGE=$BASE_IMAGE \
--build-arg OPENCV_URL=$OPENCV_URL \
--build-arg OPENCV_DEB=$OPENCV_DEB \
.