Dockerfile and kubernetes example

Dockerfile

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+FROM nvidia/cuda:11.1-base-ubuntu20.04
+
+RUN apt update && DEBIAN_FRONTEND=noninteractive apt install git bzip2 wget unzip python3-pip python3-dev cmake libgl1-mesa-dev python-is-python3 libgtk2.0-dev -yq
+ADD . /app
+WORKDIR /app
+RUN cd Face_Enhancement/models/networks/ &&\
+  git clone https://github.com/vacancy/Synchronized-BatchNorm-PyTorch &&\
+  cp -rf Synchronized-BatchNorm-PyTorch/sync_batchnorm . &&\
+  cd ../../../
+
+RUN cd Global/detection_models &&\
+  git clone https://github.com/vacancy/Synchronized-BatchNorm-PyTorch &&\
+  cp -rf Synchronized-BatchNorm-PyTorch/sync_batchnorm . &&\
+  cd ../../
+
+RUN cd Face_Detection/ &&\
+  wget http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2 &&\
+  bzip2 -d shape_predictor_68_face_landmarks.dat.bz2 &&\
+  cd ../ 
+
+RUN cd Face_Enhancement/ &&\
+  wget https://facevc.blob.core.windows.net/zhanbo/old_photo/pretrain/Face_Enhancement/checkpoints.zip &&\
+  unzip checkpoints.zip &&\
+  cd ../ &&\
+  cd Global/ &&\
+  wget https://facevc.blob.core.windows.net/zhanbo/old_photo/pretrain/Global/checkpoints.zip &&\
+  unzip checkpoints.zip &&\
+  rm -f checkpoints.zip &&\
+  cd ../
+
+RUN pip3 install numpy
+
+RUN pip3 install dlib
+
+RUN pip3 install -r requirements.txt
+
+RUN git clone https://github.com/NVlabs/SPADE.git
+
+RUN cd SPADE/ && pip3 install -r requirements.txt
+
+RUN cd ..
+
+CMD ["python3", "run.py"]