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Merge branch 'nerfstudio-project:main' into rgba_renderer
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hardikdava authored Sep 8, 2024
2 parents 2daa9a0 + f86dbe6 commit 8e20ec6
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62 changes: 62 additions & 0 deletions .github/workflows/build_docker_image.yml
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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' }}

2 changes: 1 addition & 1 deletion .pre-commit-config.yaml
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Expand Up @@ -17,7 +17,7 @@ repos:
- id: trailing-whitespace
- id: end-of-file-fixer
- repo: https://github.com/charliermarsh/ruff-pre-commit
rev: v0.1.13
rev: v0.6.2
hooks:
- id: ruff
types_or: [ python, pyi, jupyter ]
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296 changes: 122 additions & 174 deletions Dockerfile
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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=""

# 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

FROM nvidia/cuda:${NVIDIA_CUDA_VERSION}-devel-ubuntu${UBUNTU_VERSION} as builder
ARG CUDA_ARCHITECTURES
ARG NVIDIA_CUDA_VERSION
ARG UBUNTU_VERSION

# Define username, user uid and gid
ARG USERNAME=user
ARG USER_UID=1000
ARG USER_GID=$USER_UID

# 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}"

# 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

# 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"

# 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/*


# 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"

# 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

# 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

# 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

# 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 ~

# 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

# 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

# Fix permissions
RUN chmod -R go=u /usr/local/lib/python3.10 && \
chmod -R go=u /build

#
# 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

# Create workspace folder and change ownership to new user
RUN mkdir /workspace && chown ${USER_UID}:${USER_GID} /workspace

# Switch to new user and workdir.
USER ${USER_UID}
WORKDIR /home/${USERNAME}

# Add local user binary folder to PATH variable.
ENV PATH="${PATH}:/home/${USERNAME}/.local/bin"

# Upgrade pip and install packages.
RUN python3.10 -m pip install --no-cache-dir --upgrade pip setuptools==69.5.1 pathtools promise pybind11 omegaconf

# 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}

# 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

# 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 ..

# 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 ..

# 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 ..

# 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 ..

# Copy nerfstudio folder and give ownership to user.
COPY --chown=${USER_UID}:${USER_GID} . /home/${USERNAME}/nerfstudio

# 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/"

# 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

# 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/

# Install nerfstudio cli auto completion
RUN /bin/bash -c 'ns-install-cli --mode install'

# 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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