Dockerfile

FROM continuumio/anaconda3:main

# Install necessary system libraries
RUN apt-get update && apt-get install -y \
    libgl1-mesa-glx \
    libglib2.0-0

WORKDIR /code
COPY ./environment_docker.yml /code/environment_docker.yml

# Create the environment using the environment.yml file
RUN conda env create -f /code/environment_docker.yml

# Make RUN commands use the new environment
SHELL ["conda", "run", "-n", "masaenv", "/bin/bash", "-c"]

COPY ./install_deps.sh /code/install_deps.sh

# Make the install_deps.sh script executable
RUN chmod +x /code/install_deps.sh

RUN pip install -U openmim
RUN pip install torch torchvision torchaudio
RUN mim install mmengine
RUN pip install mmcv==2.1.0 -f https://download.openmmlab.com/mmcv/dist/cu118/torch2.1/index.html
RUN pip install git+https://github.com/open-mmlab/mmdetection.git@v3.3.0
RUN pip install -U gradio

# Run the install_deps.sh script
RUN /bin/bash /code/install_deps.sh

# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
    PYTHONPATH=$HOME/app \
    PYTHONUNBUFFERED=1 \
    GRADIO_ALLOW_FLAGGING=never \
    GRADIO_NUM_PORTS=1 \
    GRADIO_SERVER_NAME=0.0.0.0 \
    GRADIO_THEME=huggingface \
    SYSTEM=spaces

# Set the working directory to the user's home directory
WORKDIR $HOME/app

# Copy the current directory contents into the container at $HOME/app setting the owner to the user
COPY --chown=user . $HOME/app

# Make run.sh executable
RUN chmod +x $HOME/app/run.sh

CMD ["./run.sh"]