Dockerfile

FROM pytorch/pytorch:2.1.2-cuda11.8-cudnn8-devel

# Arguments to build Docker Image using CUDA
ARG USE_CUDA=0
ARG TORCH_ARCH=

ARG GID=1002
ARG UID=1002
ARG USERNAME=xinyuan
ARG DOCKER_HOME_DIR=/root
ARG DOCKER_WORKDIR=/root/xinyuan

ENV AM_I_DOCKER True
ENV BUILD_WITH_CUDA "${USE_CUDA}"
ENV TORCH_CUDA_ARCH_LIST "${TORCH_ARCH}"
ENV CUDA_HOME /usr/local/cuda-11.8/

RUN mkdir -p ${DOCKER_WORKDIR}/Grounded-Segment-Anything
COPY . ${DOCKER_WORKDIR}/Grounded-Segment-Anything

ENV DEBIAN_FRONTEND=noninteractive
RUN apt-get update && apt-get install --no-install-recommends \
    # ADD   
    curl build-essential\ 
    wget ffmpeg=7:* \
    libsm6=2:* libxext6=2:* git=1:* nano \
    vim=2:* -y \
    && apt-get clean && apt-get autoremove && rm -rf /var/lib/apt/lists/*

# ADD
RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- -y
# ADD
ENV PATH="/root/.cargo/bin:${PATH}"

WORKDIR  ${DOCKER_WORKDIR}/Grounded-Segment-Anything
RUN python -m pip install --no-cache-dir -e segment_anything

# When using build isolation, PyTorch with newer CUDA is installed and can't compile GroundingDINO
RUN python -m pip install --no-cache-dir wheel
RUN python -m pip install --no-cache-dir --no-build-isolation -e GroundingDINO

RUN addgroup --gid $GID $USERNAME
RUN adduser --disabled-password --gecos '' --uid $UID --gid $GID $USERNAME

RUN pip install --no-cache-dir diffusers[torch]==0.15.1 opencv-python==4.7.0.72 \
    pycocotools==2.0.6 matplotlib==3.5.3 \
    onnxruntime==1.14.1 onnx==1.13.1 ipykernel==6.16.2 scipy gradio openai \
    # ADD
    litellm

RUN chown -R ${UID}:${GID} ${DOCKER_HOME_DIR}
USER ${USERNAME}