Dockerfile

FROM nvidia/cuda:11.0-cudnn8-devel-ubuntu18.04-rc

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


RUN sudo apt-get update && sudo apt-get install -y vim
# 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

ENV PATH="/home/appuser/.local/bin:${PATH}"
RUN wget https://bootstrap.pypa.io/get-pip.py && \
	python3 get-pip.py --user && \
	rm get-pip.py

RUN pip install --user ipdb

RUN pip install torch==1.7.1+cu110 torchvision==0.8.2+cu110 torchaudio==0.7.2 -f https://download.pytorch.org/whl/torch_stable.html
#RUN python -m pip install 'git+https://github.com/facebookresearch/detectron2.git'


# 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==1.8 torchvision==0.9 -f https://download.pytorch.org/whl/cu101/torch_stable.html

#RUN pip install --user 'git+https://github.com/facebookresearch/fvcore'
# install detectron2
#RUN git clone https://github.com/facebookresearch/detectron2 detectron2_repo
# set FORCE_CUDA because during `docker build` cuda is not accessible
ENV FORCE_CUDA="1"
# This will by default build detectron2 for all common cuda architectures and take a lot more time,
# because inside `docker build`, there is no way to tell which architecture will be used.
ARG TORCH_CUDA_ARCH_LIST="Kepler;Kepler+Tesla;Maxwell;Maxwell+Tegra;Pascal;Volta;Turing"
ENV TORCH_CUDA_ARCH_LIST="${TORCH_CUDA_ARCH_LIST}"

# Set dataset folder 
ENV DETECTRON2_DATASETS="/home/juan.vallado/data/detectron2/"

RUN pip uninstall jedi -y
RUN pip install --user jedi==0.17.2 
#RUN python -m pip install --user -e detectron2_repo
RUN python -m pip install --user 'git+https://github.com/facebookresearch/detectron2.git'
RUN python3 -m pip install scikit-image

# Set a fixed model cache directory.
ENV FVCORE_CACHE="/tmp"
WORKDIR /home/appuser/
RUN chmod 777 /home/appuser/
#RUN git clone https://github.com/facebookresearch/detectron2
#RUN mv detectron2/projects/TensorMask .
#RUN rm -Rf detectron2
#RUN pip install -e TensorMask
#RUN chmod 777 TensorMask
CMD sudo sh /home/juan.vallado/src/commands.sh