50 lines
2.1 KiB
Docker
50 lines
2.1 KiB
Docker
FROM nvidia/cuda:10.1-cudnn7-devel
|
|
|
|
ENV DEBIAN_FRONTEND noninteractive
|
|
RUN apt-get update && apt-get install -y \
|
|
python3-opencv ca-certificates python3-dev git wget sudo \
|
|
cmake ninja-build protobuf-compiler libprotobuf-dev && \
|
|
rm -rf /var/lib/apt/lists/*
|
|
RUN ln -sv /usr/bin/python3 /usr/bin/python
|
|
|
|
# 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
|
|
|
|
# install dependencies
|
|
# See https://pytorch.org/ for other options if you use a different version of CUDA
|
|
RUN pip install --user tensorboard cython
|
|
RUN pip install --user torch==1.5+cu101 torchvision==0.6+cu101 -f https://download.pytorch.org/whl/torch_stable.html
|
|
RUN pip install --user 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'
|
|
|
|
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}"
|
|
|
|
RUN pip install --user -e detectron2_repo
|
|
|
|
# Set a fixed model cache directory.
|
|
ENV FVCORE_CACHE="/tmp"
|
|
WORKDIR /home/appuser/detectron2_repo
|
|
|
|
# run detectron2 under user "appuser":
|
|
# wget http://images.cocodataset.org/val2017/000000439715.jpg -O input.jpg
|
|
# python3 demo/demo.py \
|
|
#--config-file configs/COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x.yaml \
|
|
#--input input.jpg --output outputs/ \
|
|
#--opts MODEL.WEIGHTS detectron2://COCO-InstanceSegmentation/mask_rcnn_R_50_FPN_3x/137849600/model_final_f10217.pkl
|