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name: Build Docker Image | ||
on: | ||
workflow_dispatch: | ||
workflow_call: | ||
pull_request: | ||
push: | ||
branches: | ||
- main | ||
- master | ||
tags: | ||
- 'v*' | ||
env: | ||
REGISTRY: ghcr.io | ||
IMAGE_NAME: ${{ github.repository }} | ||
jobs: | ||
build-and-publish-docker-image: | ||
runs-on: ubuntu-latest | ||
name: build-and-publish-docker-image | ||
permissions: | ||
packages: write | ||
contents: read | ||
attestations: write | ||
id-token: write | ||
steps: | ||
- uses: actions/checkout@v4 | ||
- name: Login to GitHub Container Registry | ||
uses: docker/login-action@v3 | ||
with: | ||
registry: ghcr.io | ||
username: ${{ github.repository_owner }} | ||
password: ${{ secrets.GITHUB_TOKEN }} | ||
- name: Extract metadata (tags, labels) for Docker | ||
id: meta | ||
uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7 | ||
with: | ||
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }} | ||
tags: | | ||
type=ref,event=branch | ||
type=ref,event=pr | ||
type=semver,pattern={{version}} | ||
type=semver,pattern={{major}}.{{minor}} | ||
- name: Free root space | ||
uses: almahmoud/free-root-space@main | ||
with: | ||
remove-gcc: false | ||
remove-cplusplus: false | ||
- name: Build and push Docker image | ||
id: push | ||
uses: docker/build-push-action@3b5e8027fcad23fda98b2e3ac259d8d67585f671 | ||
with: | ||
context: . | ||
file: ./Dockerfile | ||
push: ${{ github.event_name != 'pull_request' }} | ||
tags: ${{ steps.meta.outputs.tags }} | ||
labels: ${{ steps.meta.outputs.labels }} | ||
- name: Generate artifact attestation | ||
uses: actions/attest-build-provenance@v1 | ||
with: | ||
subject-name: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME}} | ||
subject-digest: ${{ steps.push.outputs.digest }} | ||
push-to-registry: ${{ github.event_name != 'pull_request' }} | ||
|
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ARG CUDA_VERSION=11.8.0 | ||
ARG OS_VERSION=22.04 | ||
# Define base image. | ||
FROM nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${OS_VERSION} | ||
ARG CUDA_VERSION | ||
ARG OS_VERSION | ||
# syntax=docker/dockerfile:1 | ||
ARG UBUNTU_VERSION=22.04 | ||
ARG NVIDIA_CUDA_VERSION=11.8.0 | ||
# CUDA architectures, required by Colmap and tiny-cuda-nn. Use >= 8.0 for faster TCNN. | ||
ARG CUDA_ARCHITECTURES="90;89;86;80;75;70;61" | ||
ARG NERFSTUDIO_VERSION="" | ||
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# Pull source either provided or from git. | ||
FROM scratch as source_copy | ||
ONBUILD COPY . /tmp/nerfstudio | ||
FROM alpine/git as source_no_copy | ||
ARG NERFSTUDIO_VERSION | ||
ONBUILD RUN git clone --branch ${NERFSTUDIO_VERSION} --recursive https://github.com/nerfstudio-project/nerfstudio.git /tmp/nerfstudio | ||
ARG NERFSTUDIO_VERSION | ||
FROM source_${NERFSTUDIO_VERSION:+no_}copy as source | ||
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||
FROM nvidia/cuda:${NVIDIA_CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} as builder | ||
ARG CUDA_ARCHITECTURES | ||
ARG NVIDIA_CUDA_VERSION | ||
ARG UBUNTU_VERSION | ||
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# Define username, user uid and gid | ||
ARG USERNAME=user | ||
ARG USER_UID=1000 | ||
ARG USER_GID=$USER_UID | ||
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# metainformation | ||
LABEL org.opencontainers.image.version = "0.1.18" | ||
LABEL org.opencontainers.image.source = "https://github.com/nerfstudio-project/nerfstudio" | ||
LABEL org.opencontainers.image.licenses = "Apache License 2.0" | ||
LABEL org.opencontainers.image.base.name="docker.io/library/nvidia/cuda:${CUDA_VERSION}-devel-ubuntu${OS_VERSION}" | ||
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# Variables used at build time. | ||
## CUDA architectures, required by Colmap and tiny-cuda-nn. | ||
## NOTE: All commonly used GPU architectures are included and supported here. To speedup the image build process remove all architectures but the one of your explicit GPU. Find details here: https://developer.nvidia.com/cuda-gpus (8.6 translates to 86 in the line below) or in the docs. | ||
ARG CUDA_ARCHITECTURES=90;89;86;80;75;70;61;52;37 | ||
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# Set environment variables. | ||
## Set non-interactive to prevent asking for user inputs blocking image creation. | ||
ENV DEBIAN_FRONTEND=noninteractive | ||
## Set timezone as it is required by some packages. | ||
ENV TZ=Europe/Berlin | ||
## CUDA Home, required to find CUDA in some packages. | ||
ENV CUDA_HOME="/usr/local/cuda" | ||
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||
# Install required apt packages and clear cache afterwards. | ||
ENV QT_XCB_GL_INTEGRATION=xcb_egl | ||
RUN apt-get update && \ | ||
apt-get install -y --no-install-recommends \ | ||
build-essential \ | ||
cmake \ | ||
curl \ | ||
ffmpeg \ | ||
git \ | ||
libatlas-base-dev \ | ||
libboost-filesystem-dev \ | ||
libboost-graph-dev \ | ||
libboost-program-options-dev \ | ||
libboost-system-dev \ | ||
libboost-test-dev \ | ||
libhdf5-dev \ | ||
libcgal-dev \ | ||
libeigen3-dev \ | ||
libflann-dev \ | ||
libfreeimage-dev \ | ||
libgflags-dev \ | ||
libglew-dev \ | ||
libgoogle-glog-dev \ | ||
libmetis-dev \ | ||
libprotobuf-dev \ | ||
libqt5opengl5-dev \ | ||
libsqlite3-dev \ | ||
libsuitesparse-dev \ | ||
nano \ | ||
protobuf-compiler \ | ||
python-is-python3 \ | ||
python3.10-dev \ | ||
python3-pip \ | ||
qtbase5-dev \ | ||
sudo \ | ||
vim-tiny \ | ||
wget && \ | ||
rm -rf /var/lib/apt/lists/* | ||
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# Install GLOG (required by ceres). | ||
RUN git clone --branch v0.6.0 https://github.com/google/glog.git --single-branch && \ | ||
cd glog && \ | ||
mkdir build && \ | ||
cd build && \ | ||
cmake .. && \ | ||
make -j `nproc` && \ | ||
make install && \ | ||
cd ../.. && \ | ||
rm -rf glog | ||
# Add glog path to LD_LIBRARY_PATH. | ||
ENV LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/lib" | ||
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# Install Ceres-solver (required by colmap). | ||
RUN git clone --branch 2.1.0 https://ceres-solver.googlesource.com/ceres-solver.git --single-branch && \ | ||
cd ceres-solver && \ | ||
git checkout $(git describe --tags) && \ | ||
mkdir build && \ | ||
cd build && \ | ||
cmake .. -DBUILD_TESTING=OFF -DBUILD_EXAMPLES=OFF && \ | ||
make -j `nproc` && \ | ||
make install && \ | ||
cd ../.. && \ | ||
rm -rf ceres-solver | ||
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# Install colmap. | ||
RUN git clone --branch 3.8 https://github.com/colmap/colmap.git --single-branch && \ | ||
apt-get install -y --no-install-recommends --no-install-suggests \ | ||
git \ | ||
cmake \ | ||
ninja-build \ | ||
build-essential \ | ||
libboost-program-options-dev \ | ||
libboost-filesystem-dev \ | ||
libboost-graph-dev \ | ||
libboost-system-dev \ | ||
libeigen3-dev \ | ||
libflann-dev \ | ||
libfreeimage-dev \ | ||
libmetis-dev \ | ||
libgoogle-glog-dev \ | ||
libgtest-dev \ | ||
libsqlite3-dev \ | ||
libglew-dev \ | ||
qtbase5-dev \ | ||
libqt5opengl5-dev \ | ||
libcgal-dev \ | ||
libceres-dev \ | ||
python3.10-dev \ | ||
python3-pip | ||
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# Build and install COLMAP. | ||
RUN git clone https://github.com/colmap/colmap.git && \ | ||
cd colmap && \ | ||
git checkout "3.9.1" && \ | ||
mkdir build && \ | ||
cd build && \ | ||
cmake .. -DCUDA_ENABLED=ON \ | ||
-DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} && \ | ||
make -j `nproc` && \ | ||
make install && \ | ||
cd ../.. && \ | ||
rm -rf colmap | ||
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# Create non root user, add it to custom group and setup environment. | ||
RUN groupadd --gid $USER_GID $USERNAME \ | ||
&& useradd --uid $USER_UID --gid $USER_GID -m $USERNAME -d /home/${USERNAME} --shell /usr/bin/bash | ||
# OPTIONAL | ||
# If sudo privilages are not required comment below line | ||
# Create simple password for user and add it to sudo group | ||
# Update group so that it is not required to type password for commands: apt update/upgrade/install/remove | ||
RUN echo "${USERNAME}:password" | chpasswd \ | ||
&& usermod -aG sudo ${USERNAME} \ | ||
&& echo "%sudo ALL=NOPASSWD:/usr/bin/apt-get update, /usr/bin/apt-get upgrade, /usr/bin/apt-get install, /usr/bin/apt-get remove" >> /etc/sudoers | ||
mkdir -p /build && \ | ||
cmake .. -GNinja "-DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES}" \ | ||
-DCMAKE_INSTALL_PREFIX=/build/colmap && \ | ||
ninja install -j1 && \ | ||
cd ~ | ||
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# Upgrade pip and install dependencies. | ||
# pip install torch==2.2.2 torchvision==0.17.2 --index-url https://download.pytorch.org/whl/cu118 && \ | ||
RUN pip install --no-cache-dir --upgrade pip 'setuptools<70.0.0' && \ | ||
pip install --no-cache-dir torch==2.1.2+cu118 torchvision==0.16.2+cu118 'numpy<2.0.0' --extra-index-url https://download.pytorch.org/whl/cu118 && \ | ||
git clone --branch master --recursive https://github.com/cvg/Hierarchical-Localization.git /opt/hloc && \ | ||
cd /opt/hloc && git checkout v1.4 && python3.10 -m pip install --no-cache-dir . && cd ~ && \ | ||
TCNN_CUDA_ARCHITECTURES="${CUDA_ARCHITECTURES}" pip install --no-cache-dir "git+https://github.com/NVlabs/tiny-cuda-nn.git@b3473c81396fe927293bdfd5a6be32df8769927c#subdirectory=bindings/torch" && \ | ||
pip install --no-cache-dir pycolmap==0.6.1 pyceres==2.1 omegaconf==2.3.0 | ||
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# Install gsplat and nerfstudio. | ||
# NOTE: both are installed jointly in order to prevent docker cache with latest | ||
# gsplat version (we do not expliticly specify the commit hash). | ||
# | ||
# We set MAX_JOBS to reduce resource usage for GH actions: | ||
# - https://github.com/nerfstudio-project/gsplat/blob/db444b904976d6e01e79b736dd89a1070b0ee1d0/setup.py#L13-L23 | ||
COPY --from=source /tmp/nerfstudio/ /tmp/nerfstudio | ||
RUN export TORCH_CUDA_ARCH_LIST="$(echo "$CUDA_ARCHITECTURES" | tr ';' '\n' | awk '$0 > 70 {print substr($0,1,1)"."substr($0,2)}' | tr '\n' ' ' | sed 's/ $//')" && \ | ||
export MAX_JOBS=4 && \ | ||
GSPLAT_VERSION="$(sed -n 's/.*gsplat==\s*\([^," '"'"']*\).*/\1/p' /tmp/nerfstudio/pyproject.toml)" && \ | ||
pip install --no-cache-dir git+https://github.com/nerfstudio-project/gsplat.git@v${GSPLAT_VERSION} && \ | ||
pip install --no-cache-dir /tmp/nerfstudio 'numpy<2.0.0' && \ | ||
rm -rf /tmp/nerfstudio | ||
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# Fix permissions | ||
RUN chmod -R go=u /usr/local/lib/python3.10 && \ | ||
chmod -R go=u /build | ||
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# | ||
# Docker runtime stage. | ||
# | ||
FROM nvidia/cuda:${NVIDIA_CUDA_VERSION}-runtime-ubuntu${UBUNTU_VERSION} as runtime | ||
ARG CUDA_ARCHITECTURES | ||
ARG NVIDIA_CUDA_VERSION | ||
ARG UBUNTU_VERSION | ||
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# Create workspace folder and change ownership to new user | ||
RUN mkdir /workspace && chown ${USER_UID}:${USER_GID} /workspace | ||
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# Switch to new user and workdir. | ||
USER ${USER_UID} | ||
WORKDIR /home/${USERNAME} | ||
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# Add local user binary folder to PATH variable. | ||
ENV PATH="${PATH}:/home/${USERNAME}/.local/bin" | ||
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# Upgrade pip and install packages. | ||
RUN python3.10 -m pip install --no-cache-dir --upgrade pip setuptools==69.5.1 pathtools promise pybind11 omegaconf | ||
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# Install pytorch and submodules | ||
# echo "${CUDA_VERSION}" | sed 's/.$//' | tr -d '.' -- CUDA_VERSION -> delete last digit -> delete all '.' | ||
RUN CUDA_VER=$(echo "${CUDA_VERSION}" | sed 's/.$//' | tr -d '.') && python3.10 -m pip install --no-cache-dir \ | ||
torch==2.1.2+cu${CUDA_VER} \ | ||
torchvision==0.16.2+cu${CUDA_VER} \ | ||
--extra-index-url https://download.pytorch.org/whl/cu${CUDA_VER} | ||
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# Install tiny-cuda-nn (we need to set the target architectures as environment variable first). | ||
ENV TCNN_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} | ||
RUN python3.10 -m pip install --no-cache-dir git+https://github.com/NVlabs/tiny-cuda-nn.git#subdirectory=bindings/torch | ||
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# Install pycolmap, required by hloc. | ||
RUN git clone --branch v0.4.0 --recursive https://github.com/colmap/pycolmap.git && \ | ||
cd pycolmap && \ | ||
python3.10 -m pip install --no-cache-dir . && \ | ||
cd .. | ||
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# Install hloc 1.4 as alternative feature detector and matcher option for nerfstudio. | ||
RUN git clone --branch master --recursive https://github.com/cvg/Hierarchical-Localization.git && \ | ||
cd Hierarchical-Localization && \ | ||
git checkout v1.4 && \ | ||
python3.10 -m pip install --no-cache-dir -e . && \ | ||
cd .. | ||
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# Install pyceres from source | ||
RUN git clone --branch v1.0 --recursive https://github.com/cvg/pyceres.git && \ | ||
cd pyceres && \ | ||
python3.10 -m pip install --no-cache-dir -e . && \ | ||
cd .. | ||
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# Install pixel perfect sfm. | ||
RUN git clone --recursive https://github.com/cvg/pixel-perfect-sfm.git && \ | ||
cd pixel-perfect-sfm && \ | ||
git reset --hard 40f7c1339328b2a0c7cf71f76623fb848e0c0357 && \ | ||
git clean -df && \ | ||
python3.10 -m pip install --no-cache-dir -e . && \ | ||
cd .. | ||
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# Copy nerfstudio folder and give ownership to user. | ||
COPY --chown=${USER_UID}:${USER_GID} . /home/${USERNAME}/nerfstudio | ||
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# Install nerfstudio dependencies. | ||
RUN cd nerfstudio && \ | ||
python3.10 -m pip install --no-cache-dir -e . && \ | ||
cd .. | ||
LABEL org.opencontainers.image.source = "https://github.com/nerfstudio-project/nerfstudio" | ||
LABEL org.opencontainers.image.licenses = "Apache License 2.0" | ||
LABEL org.opencontainers.image.base.name="docker.io/library/nvidia/cuda:${NVIDIA_CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION}" | ||
LABEL org.opencontainers.image.documentation = "https://docs.nerf.studio/" | ||
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# Switch to workspace folder and install nerfstudio cli auto completion | ||
WORKDIR /workspace | ||
RUN ns-install-cli --mode install | ||
# Minimal dependencies to run COLMAP binary compiled in the builder stage. | ||
# Note: this reduces the size of the final image considerably, since all the | ||
# build dependencies are not needed. | ||
RUN apt-get update && \ | ||
apt-get install -y --no-install-recommends --no-install-suggests \ | ||
libboost-filesystem1.74.0 \ | ||
libboost-program-options1.74.0 \ | ||
libc6 \ | ||
libceres2 \ | ||
libfreeimage3 \ | ||
libgcc-s1 \ | ||
libgl1 \ | ||
libglew2.2 \ | ||
libgoogle-glog0v5 \ | ||
libqt5core5a \ | ||
libqt5gui5 \ | ||
libqt5widgets5 \ | ||
python3.10 \ | ||
python3.10-dev \ | ||
build-essential \ | ||
python-is-python3 \ | ||
ffmpeg | ||
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# Copy packages from builder stage. | ||
COPY --from=builder /build/colmap/ /usr/local/ | ||
COPY --from=builder /usr/local/lib/python3.10/dist-packages/ /usr/local/lib/python3.10/dist-packages/ | ||
COPY --from=builder /usr/local/bin/ns* /usr/local/bin/ | ||
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# Install nerfstudio cli auto completion | ||
RUN /bin/bash -c 'ns-install-cli --mode install' | ||
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# Bash as default entrypoint. | ||
CMD /bin/bash -l | ||
# Force changing password on first container run | ||
# Change line above: CMD /bin/bash -l -> CMD /bin/bash -l -c passwd && /usr/bin/bash -l |
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