Dockerfile

# Start with a base image that includes CUDA
FROM nvidia/cuda:11.4.1-base-ubuntu20.04
# FROM huggingface/accelerate-gpu

# Set the timezone
ENV TZ=Europe/Berlin
RUN ln -fs /usr/share/zoneinfo/Europe/Berlin /etc/localtime
RUN apt-get update && apt-get install -y tzdata
RUN dpkg-reconfigure --frontend noninteractive tzdata

# Install Python and other dependencies
# RUN apt-get update && apt-get install -y python3 python3-pip 

# Install the libglib2.0-0 package
RUN apt-get update && apt-get install -y libgl1-mesa-glx
RUN apt-get update && apt-get install -y libglib2.0-0
RUN apt-get update && apt-get install -y python3 python3-pip

# Install the Python dependencies
WORKDIR /code
COPY ./requirements.txt /code/requirements.txt
RUN  python3 -m pip install --no-cache-dir --upgrade -r /code/requirements.txt


# Set up a new user named "user" with user ID 1000
RUN useradd -m -u 1000 user
# Add write permissions for others to the /usr/local/lib/python3.9/site-packages/oemer/checkpoints/seg_net/ directory
RUN chmod o+w /usr/local/lib/python3.8/dist-packages/oemer/checkpoints/seg_net/
RUN chmod o+w /usr/local/lib/python3.8/dist-packages/oemer/checkpoints/unet_big/
# RUN chmod o+w /opt/conda/lib/python3.10/site-packages/oemer/checkpoints/unet_big/
# RUN chmod o+w /opt/conda/lib/python3.10/site-packages/oemer/checkpoints/seg_net/


RUN pip3 list -v

# Switch to the "user" user
USER user
# Set home to the user's home directory
ENV HOME=/home/user \
    PATH=/home/user/.local/bin:$PATH

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

# Add write permissions for others to the /home/user/app directory
RUN chmod o+w /home/user/app

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

CMD ["python3", "main.py"]