add Dockerfile (#440)

docker/Dockerfile

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+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 ninja-build
+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 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

docker/README.md

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+# Use the container
+
+```shell script
+cd docker/
+# Build:
+docker build -t=fastreid:v0 .
+# Launch (requires GPUs)
+nvidia-docker run -v server_path:docker_path --name=fastreid --net=host --ipc=host -it fastreid:v0 /bin/sh
+```
+
+## Install new dependencies
+
+Add the following to `Dockerfile` to make persist changes.
+```shell script
+RUN sudo apt-get update && sudo apt-get install -y vim
+```
+
+Or run them in the container to make temporary changes.
+
+## A more complete docker container
+
+If you want to use a complete docker container which contains many useful tools, you can check my development environment [Dockerfile](https://github.com/L1aoXingyu/fastreid_docker)