Dockerfile

FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04

ARG DEBIAN_FRONTEND=noninteractive

ENV PYTHONUNBUFFERED=1

RUN apt-get update && apt-get install --no-install-recommends -y \
  build-essential \
  python3.9 \
  python3-pip \
  git \
  ffmpeg \
  && apt-get clean && rm -rf /var/lib/apt/lists/*

WORKDIR /code

COPY ./requirements_manual.txt /code/requirements_manual.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_SERVER_NAME=0.0.0.0 \
	GRADIO_THEME=huggingface \
	SYSTEM=spaces

# Install torch, torchvision, OpenCV and NumPy with versions as specified
RUN pip3 install --no-cache-dir torch==2.1.2+cu121 torchvision==0.16.2+cu121 --extra-index-url https://download.pytorch.org/whl/cu121

# Install MMLibrary
RUN pip3 install --no-cache-dir -U openmim
RUN mim install --no-cache-dir mmengine "mmcv==2.1.0" "mmdet==3.3.0" "mmpretrain==1.2.0"
RUN pip3 install --no-cache-dir numpy==1.25.1 opencv-python==4.9.0.80
RUN pip3 install --no-cache-dir --upgrade -r /code/requirements.txt

# 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", "app.py"]