Dockerfile

FROM nvidia/cuda:12.0.0-cudnn8-devel-ubuntu22.04

WORKDIR /code
COPY ./requirements.txt /code/requirements.txt

#RUN pip install torch==1.9.1+cu111 torchvision==0.10.1+cu111 -f https://download.pytorch.org/whl/torch_stable.ht
#RUN pip install torch==1.9.1 torchvision==0.10.1 -f https://download.pytorch.org/whl/torch_stable.ht -extra-index-url https://download.pytorch.org/whl/cu111
#https://download.pytorch.org/whl/torch_stable.ht

#https://stackoverflow.com/questions/55313610/importerror-libgl-so-1-cannot-open-shared-object-file-no-such-file-or-directo
RUN apt-get update && apt-get install python3.9 python3-pip git ffmpeg libsm6 libxext6  -y

RUN pip install torch --extra-index-url https://download.pytorch.org/whl/cu113
# --index-url https://download.pytorch.org/whl/cu117
# --extra-index-url https://download.pytorch.org/whl/cu113
RUN pip3  install torchvision --extra-index-url https://download.pytorch.org/whl/cu113
RUN pip3  install --no-cache-dir --upgrade -U openmim
RUN mim install --no-cache-dir --upgrade mmengine
RUN mim install "mmcv>=2.0.1"
RUN mim install "mmdet>=3.1.0"

RUN git clone https://github.com/open-mmlab/mmpose.git

# Change directory to mmpose
WORKDIR /code/mmpose
RUN pip3  install -r requirements.txt
RUN pip3  install -e .

# How do we change it back with ..
WORKDIR /..

# RUN mim install "mmpose>=1.1.0"
RUN pip3 install -r /code/requirements.txt

# 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 \
	PATH=/home/user/.local/bin:$PATH \
    PYTHONPATH=$HOME/app \
	PYTHONUNBUFFERED=1 \
	GRADIO_ALLOW_FLAGGING=never \
	GRADIO_NUM_PORTS=1 \
	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 

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