Dockerfile

ARG PYTORCH="1.11.0"
ARG CUDA="11.3"
ARG CUDNN="8"
ARG MMCV="2.0.1"

FROM pytorch/pytorch:${PYTORCH}-cuda${CUDA}-cudnn${CUDNN}-devel

ENV TORCH_CUDA_ARCH_LIST="6.0 6.1 7.0+PTX"
ENV TORCH_NVCC_FLAGS="-Xfatbin -compress-all"
ENV CMAKE_PREFIX_PATH="$(dirname $(which conda))/../"

# To fix GPG key error when running apt-get update
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-dev  \
    && apt-get clean \
    && rm -rf /var/lib/apt/lists/*

RUN conda clean --all

# Install MMCV
ARG PYTORCH
ARG CUDA
ARG MMCV
RUN ["/bin/bash", "-c", "pip install openmim"]
RUN ["/bin/bash", "-c", "mim install mmengine"]
RUN ["/bin/bash", "-c", "mim install mmcv==${MMCV}"]

# Copy your project files into the Docker image
WORKDIR /5GCAR1
COPY . /5GCAR1

# Install MMSegmentation
WORKDIR /5GCAR1/mmsegmentation
ENV FORCE_CUDA="1"
RUN pip install -r requirements.txt
RUN pip install --no-cache-dir -e .

# Install AirSim
RUN pip install msgpack-rpc-python
RUN pip install airsim
RUN pip install customtkinter

ENV NVIDIA_VISIBLE_DEVICES=all

# Set the entry point or command
WORKDIR /5GCAR1/
CMD ["python", "./app/GuiApp.py"]