Update Dockerfile

Dockerfile

@@ -8,10 +8,13 @@ FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel
 RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub
 RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub
 
-RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 libxrender-dev libxext6 libgl1-mesa-glx \
+RUN apt-get update && apt-get install -y git ninja-build libglib2.0-0 libsm6 ffmpeg libxrender-dev libxext6 libgl1-mesa-glx \
     && apt-get clean \
     && rm -rf /var/lib/apt/lists/*
 
+COPY ./requirements.txt /code/requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
 RUN pip install -U openmim
 RUN mim install mmengine
 RUN mim install 'mmcv>=2.0.0rc1'
@@ -21,4 +24,21 @@ WORKDIR /mmocr
 # ENV FORCE_CUDA="1"
 RUN pip install -r requirements.txt
 RUN pip install --no-cache-dir -e .
-RUN pip install -r requirements/albu.txt
+RUN pip install -r requirements/albu.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
+
+# 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
+RUN ls
+
+CMD ["python", "main.py"]