Add pixsfm files

This commit is contained in:
2025-11-17 17:13:50 +08:00
parent 4092e6e85e
commit f97fdf8da4
7 changed files with 190 additions and 0 deletions
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path = lichtfeld-studio/LichtFeld-Studio path = lichtfeld-studio/LichtFeld-Studio
url = https://github.com/MrNeRF/LichtFeld-Studio url = https://github.com/MrNeRF/LichtFeld-Studio
branch = master branch = master
[submodule "pixsfm/pixel-perfect-sfm"]
path = pixsfm/pixel-perfect-sfm
url = https://github.com/cvg/pixel-perfect-sfm.git
branch = main
[submodule "pixsfm/Hierarchical-Localization"]
path = pixsfm/Hierarchical-Localization
url = https://github.com/cvg/Hierarchical-Localization.git
branch = master
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FROM nvidia/cuda:11.8.0-devel-ubuntu22.04 AS builder
ARG COLMAP_VERSION=3.8
ARG CUDA_ARCHITECTURES=86
ENV DEBIAN_FRONTEND=noninteractive
# Set up initial PyTorch environment and build environment
RUN apt-get update && apt-get install -y \
build-essential \
cmake \
git \
libatlas-base-dev \
libboost-filesystem-dev \
libboost-graph-dev \
libboost-program-options-dev \
libboost-system-dev \
libboost-test-dev \
libcgal-dev \
libeigen3-dev \
libflann-dev \
libfreeimage-dev \
libgflags-dev \
libglew-dev \
libgoogle-glog-dev \
libhdf5-dev \
libmetis-dev \
libqt5opengl5-dev \
libsqlite3-dev \
libsuitesparse-dev \
ninja-build \
python3 \
python3-pip \
qtbase5-dev
# Tencent mirror as an alternative to main repo in case CDN fails
# NumPy 2.0 in order to support both 1.x and 2.x versions of NumPy, since
# legacy code is present
RUN pip3 install --upgrade pip
RUN pip3 install --no-cache-dir \
--extra-index-url https://download.pytorch.org/whl/cu118 \
#--extra-index-url https://mirrors.tencent.com/pytorch-wheels/whl/cu118/ \
torch==2.1.2+cu118 \
torchvision==0.16.2+cu118 \
'numpy<2.0.0'
WORKDIR /opt
# Install Ceres Solver. PixSFM requires version 2.1 or higher. Testing is
# disabled since `docker build` doesn't have access to the GPU
RUN git clone https://github.com/ceres-solver/ceres-solver && \
cd ceres-solver && \
git checkout 2.2.0
RUN mkdir ceres-bin && \
cd ceres-bin && \
cmake ../ceres-solver \
-DUSE_CUDA=ON \
-DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} \
-DBUILD_TESTING=OFF \
-DBUILD_EXAMPLES=OFF \
-DCMAKE_BUILD_TYPE=Release && \
make -j8 && \
make test && \
make install
# Install COLMAP 3.8 specifically, since this is a dependency of PixSFM. Set
# C++17 standard to match Ceres libraries
RUN git clone https://github.com/colmap/colmap.git
RUN cd colmap && \
git reset --hard ${COLMAP_VERSION} && \
mkdir build && \
cd build && \
cmake .. \
-GNinja \
-DCMAKE_CUDA_ARCHITECTURES=${CUDA_ARCHITECTURES} \
-DCMAKE_CXX_STANDARD=17 \
-DCMAKE_CXX_STANDARD_REQUIRED=ON && \
ninja && \
ninja install -j8 && \
cd .. && rm -rf colmap
WORKDIR /workspace
# Install both PixSFM and Hloc in-place, since their run scripts should ideally
# be stored in the workspace
# PixSFM is installed first since its version requirements take precedence over
# Hloc's
COPY pixel-perfect-sfm /workspace/pixel-perfect-sfm
RUN cd pixel-perfect-sfm && \
pip3 install -r requirements.txt
# Git reset to the last commit compatible with pycolmap==0.4.0, which is a
# dependency of PixSFM
COPY Hierarchical-Localization /workspace/Hierarchical-Localization
RUN cd Hierarchical-Localization/ && \
pip3 install -e .
# Install PixSFM last since it has Hloc as one of its dependencies
RUN cd pixel-perfect-sfm && \
pip3 install -e .
# Reinstall NumPy<2.0.0, since the used version of PyTorch was compiled with an
# older version of NumPy
RUN pip3 install --no-cache-dir 'numpy<2.0.0'
# Set up runtime
FROM nvidia/cuda:11.8.0-runtime-ubuntu22.04
ENV CUDA_ARCHITECTURES=86
ENV NVIDIA_CUDA_VERSION=11.8.0
ENV GRADIO_SERVER_NAME=0.0.0.0
# Install runtime versions of packages in builder stage
RUN apt-get update && apt-get install -y --no-install-recommends \
libatlas3-base \
libboost-filesystem1.74.0 \
libboost-graph1.74.0 \
libboost-program-options1.74.0 \
libboost-system1.74.0 \
libboost-test1.74.0 \
libflann1.9 \
libfreeimage3 \
libgl1 \
libglew2.2 \
libgoogle-glog0v5 \
libhdf5-dev \
libmetis5 \
libpython3.10 \
libqt5opengl5 \
libsuitesparse-dev \
python-is-python3 \
python3 \
wget
RUN rm -rf /var/cache/apt/archives /var/lib/apt/lists/*
# Copy COLMAP and Ceres builds and installed Python libraries
# `include` directory only has ceres and colmap
# NOTE: Python packages are found here, assuming Python 3.10
# /usr/local/lib/python3.10/dist-packages/
COPY --from=builder /usr/local/include/ /usr/local/include/
COPY --from=builder /usr/local/bin/colmap /usr/local/bin/colmap
COPY --from=builder /usr/local/lib/ /usr/local/lib/
COPY --from=builder /usr/local/share/ /usr/local/share/
# Copy the actual workspace
COPY --from=builder /workspace/ /workspace/
# A PixSFM dependency that seems to be missing from the copy process. This is
# technically deprecated as an API, and in case of failure should be pinned to
# setuptools<81
RUN python3 -m pip install --no-cache-dir setuptools
CMD ["/bin/bash", "-l"]
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docker compose run -d --rm -it --workdir /workspace --name pixsfm-tmp pixsfm
docker cp pixsfm-tmp:/workspace/Hierarchical-Localization .
docker cp pixsfm-tmp:/workspace/pixel-perfect-sfm .
docker stop pixsfm-tmp
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services:
pixsfm:
build:
context: .
image: pixsfm:dev
extends:
file: ../config.yml
service: win-gui-app
volumes:
- type: bind
source: ./.cache/pixsfm
target: /root/.cache
- type: bind
source: ./.cache/pixsfm/features/models/checkpoints
target: /workspace/pixel-perfect-sfm/pixsfm/features/models/checkpoints
- type: bind
source: ./pixel-perfect-sfm
target: /workspace/pixel-perfect-sfm
- type: bind
source: ./Hierarchical-Localization
target: /workspace/Hierarchical-Localization
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docker compose run --rm -it --workdir /workspace --name pixsfm pixsfm