chore: add Dockerfile for inference set-up

docker/Dockerfile

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+FROM nvidia/cuda:10.0-cudnn7-devel-ubuntu16.04
+
+RUN apt-get -y update
+RUN apt-get install -y --no-install-recommends \
+      build-essential \
+      git \
+      libgoogle-glog-dev \
+      libgtest-dev \
+      libiomp-dev \
+      libleveldb-dev \
+      liblmdb-dev \
+      libopencv-dev \
+      libopenmpi-dev \
+      libsnappy-dev \
+      libprotobuf-dev \
+      openmpi-bin \
+      openmpi-doc \
+      protobuf-compiler \
+      python-dev \
+      python-pip   
+RUN pip install --upgrade pip
+RUN pip install setuptools                       
+RUN pip install --user \
+      future \
+      numpy \
+      protobuf \
+      typing \
+      hypothesis
+RUN apt-get install -y --no-install-recommends \
+      libgflags-dev \
+      cmake
+
+RUN git clone --branch master --recursive https://github.com/pytorch/pytorch.git
+RUN pip install typing pyyaml
+WORKDIR /pytorch
+RUN git submodule update --init --recursive
+RUN python setup.py install
+
+RUN git clone https://github.com/facebookresearch/detectron /detectron
+
+# Install Python dependencies
+RUN pip install -U pip
+RUN pip install -r /detectron/requirements.txt
+
+# Install the COCO API
+RUN git clone https://github.com/cocodataset/cocoapi.git /cocoapi
+WORKDIR /cocoapi/PythonAPI
+
+ENV PYTHONPATH /usr/local
+ENV Caffe2_DIR=/usr/local/lib/python2.7/dist-packages/torch/share/cmake/Caffe2/
+ENV PYTHONPATH=${PYTHONPATH}:/pytorch/build
+ENV LD_LIBRARY_PATH=/usr/local/lib:${LD_LIBRARY_PATH}
+
+ENV LD_LIBRARY_PATH=/usr/local/lib/python2.7/dist-packages/torch/lib/:${LD_LIBRARY_PATH}
+ENV LIBRARY_PATH=/usr/local/lib/python2.7/dist-packages/torch/lib/:${LIBRARY_PATH}
+
+ENV C_INCLUDE_PATH=/usr/local/lib/python2.7/dist-packages/torch/lib/include/:${C_INCLUDE_PATH}
+ENV CPLUS_INCLUDE_PATH=/usr/local/lib/python2.7/dist-packages/torch/lib/include/:${CPLUS_INCLUDE_PATH}
+
+ENV C_INCLUDE_PATH=/pytorch/:${C_INCLUDE_PATH}
+ENV CPLUS_INCLUDE_PATH=/pytorch/:${CPLUS_INCLUDE_PATH}
+
+ENV C_INCLUDE_PATH=/pytorch/build/:${C_INCLUDE_PATH}
+ENV CPLUS_INCLUDE_PATH=/pytorch/build/:${CPLUS_INCLUDE_PATH}
+
+ENV C_INCLUDE_PATH=/pytorch/torch/lib/include/:${C_INCLUDE_PATH}
+ENV CPLUS_INCLUDE_PATH=/pytorch/torch/lib/include/:${CPLUS_INCLUDE_PATH}
+
+RUN make install
+
+WORKDIR /detectron
+
+RUN make
+#RUN make ops
+
+RUN apt-get -y update \
+    && apt-get -y install \
+        wget \
+        software-properties-common
+
+# VideoPose3d
+# get ffmpeg
+RUN add-apt-repository ppa:mc3man/trusty-media  
+RUN apt-get update  
+RUN apt-get install ffmpeg  
+RUN apt-get install frei0r-plugins  
+
+RUN git clone https://github.com/facebookresearch/VideoPose3D.git /VideoPose3D
+RUN mkdir /VideoPose3D/checkpoint && cd /VideoPose3D/checkpoint
+RUN wget https://dl.fbaipublicfiles.com/video-pose-3d/pretrained_h36m_detectron_coco.bin
+
+RUN cp /VideoPose3D/inference/infer_video.py /detectron/tools/

docker/README.md

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+# VideoPose3d Dockerfile
+
+>This dockerfile aims to help to get started with the [Inference](../INFERENCE.md#Step-3:-inferring-2D-keypoints-with-Detectron) for testing VideoPose3d with your own videos.
+>
+>It conducts [Step 1: Setup](../INFERENCE.md#Step-1:-setup)
+
+It is created for Systems that have a RTX graphic card *(maybe other work as well)* and Cuda10 installed on the host system.
+
+## How to work with docker:
+- `docker build -t detectron_cu10:latest .` *(this takes quite some time, don't worry if there pop up some red warnings)*
+- `nvidia-docker run --rm -it detectron_cu10:latest python detectron/tests/test_batch_permutation_op.py` *(should say: 2 tests OK)*
+- `docker run -itd --name detcu10 --runtime=nvidia detectron_cu10` *(run container in detached mode)*
+- `docker exec -it detcu10 /bin/bash` → log into container
+
+→ now you can continue with [Step 2](../INFERENCE.md#Step-2-(optional):-video-preprocessing)
+
+Happy Coding :computer: :tada: