updated docker file, still needs a few commands

docker/Dockerfile

@@ -1,28 +1,30 @@
-FROM nvidia/cuda:10.1-cudnn7-devel
+# Start from the CUDA 11.3 base image
+FROM nvidia/cuda:11.1.1-base-ubuntu20.04
 
-# https://github.com/NVIDIA/nvidia-docker/issues/1632
-RUN rm /etc/apt/sources.list.d/cuda.list
-RUN rm /etc/apt/sources.list.d/nvidia-ml.list
-ENV DEBIAN_FRONTEND noninteractive
-RUN apt-get update && apt-get install -y \
-	python3-opencv ca-certificates python3-dev git wget sudo ninja-build
-RUN ln -sv /usr/bin/python3 /usr/bin/python
+# Install Python 3.8 and other essential packages
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    build-essential \
+    python3.8 \
+    python3-pip \
+    python3.8-dev \
+    && apt-get clean \
+    && rm -rf /var/lib/apt/lists/*
 
-# create a non-root user
-ARG USER_ID=1000
-RUN useradd -m --no-log-init --system  --uid ${USER_ID} appuser -g sudo
-RUN echo '%sudo ALL=(ALL) NOPASSWD:ALL' >> /etc/sudoers
-USER appuser
-WORKDIR /home/appuser
+# Set the python3.8 as the default python version
+RUN update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.8 1 \
+    && update-alternatives --set python3 /usr/bin/python3.8
 
-# https://github.com/facebookresearch/detectron2/issues/3933
-ENV PATH="/home/appuser/.local/bin:${PATH}"
-RUN wget https://bootstrap.pypa.io/pip/3.6/get-pip.py && \
-	python3 get-pip.py --user && \
-	rm get-pip.py
+# Update pip to the latest version
+RUN python3 -m pip install --upgrade pip
 
-# install dependencies
-# See https://pytorch.org/ for other options if you use a different version of CUDA
-RUN pip install --user tensorboard cmake   # cmake from apt-get is too old
-RUN pip install --user torch==1.6.0+cu101 torchvision==0.7.0+cu101 -f https://download.pytorch.org/whl/cu101/torch_stable.html
-RUN pip install --user -i https://pypi.tuna.tsinghua.edu.cn/simple tensorboard opencv-python cython yacs termcolor scikit-learn tabulate gdown gpustat faiss-gpu ipdb h5py
+# Set the working directory in the container
+WORKDIR /workspace
+
+# Copy the requirements file into the container at /usr/src/app
+COPY requirements.txt ./
+
+# Install any needed packages specified in requirements.txt
+RUN python3 -m pip install --no-cache-dir -r requirements.txt
+
+# Copy the rest of your application's code into the container
+COPY . .

docker/requirements.txt

@@ -0,0 +1,20 @@
+matplotlib
+scipy
+Pillow
+numpy
+prettytable
+easydict
+scikit-learn
+pyyaml
+yacs
+termcolor
+tabulate
+tensorboard
+opencv-python
+pyyaml
+yacs
+termcolor
+scikit-learn
+tabulate
+gdown
+faiss-gpu