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FROM nvidia/cuda:11.8.0-devel-ubuntu22.04
# Устанавливаем системные зависимости
RUN apt-get update && apt-get install -y \
wget \
git \
build-essential \
ninja-build \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
libglm-dev \
libavcodec-extra \
libavformat-dev \
libavcodec-dev \
libavutil-dev \
libswscale-dev \
ffmpeg \
mesa-va-drivers \
vainfo \
nano \
vim \
&& rm -rf /var/lib/apt/lists/*
# Устанавливаем Miniconda
RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh -O /miniconda.sh && \
bash /miniconda.sh -b -p /opt/conda && \
rm /miniconda.sh
RUN /opt/conda/bin/conda init bash
ENV PATH=/opt/conda/bin:$PATH
# Настраиваем conda (без auto_activate_base)
RUN conda config --set auto_activate_base false
# Принимаем лицензионное соглашение Anaconda (интерактивно)
RUN yes | conda tos accept --channel https://repo.anaconda.com/pkgs/main || true
RUN yes | conda tos accept --channel https://repo.anaconda.com/pkgs/r || true
RUN conda create -n mvsplat python=3.10 -y && \
conda run -n mvsplat pip install torch==2.1.2 torchvision==0.16.2 torchaudio==2.1.2 --index-url https://download.pytorch.org/whl/cu118
WORKDIR /workspace
# Копируем все файлы проекта
COPY src /workspace/src
COPY requirements.txt /workspace/requirements.txt
COPY constraints.txt /workspace/constraints.txt
RUN conda run -n mvsplat pip install -r /workspace/requirements.txt -c /workspace/constraints.txt
RUN pip uninstall moviepy -y && pip install moviepy==1.0.3
RUN git clone https://github.com/graphdeco-inria/diff-gaussian-rasterization && cd diff-gaussian-rasterization && python setup.py install
RUN echo "conda activate mvsplat" >> ~/.bashrc
ENV CUDA_HOME=/usr/local/cuda
ENV PATH=$CUDA_HOME/bin:$PATH
ENV LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
ENV DISABLE_ITT=1
ENV TORCH_CUDA_ARCH_LIST="7.0;7.5;8.0;8.6;8.9;9.0"
RUN mkdir /workspace/checkpoints
CMD ["/bin/bash"]