Add at new repo again

vton-api/preprocess/humanparsing/mhp_extension/detectron2/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  \
+	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

vton-api/preprocess/humanparsing/mhp_extension/detectron2/docker/Dockerfile-circleci

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+FROM nvidia/cuda:10.1-cudnn7-devel
+# This dockerfile only aims to provide an environment for unittest on CircleCI
+
+ENV DEBIAN_FRONTEND noninteractive
+RUN apt-get update && apt-get install -y \
+	python3-opencv ca-certificates python3-dev git wget sudo ninja-build && \
+  rm -rf /var/lib/apt/lists/*
+
+RUN wget -q https://bootstrap.pypa.io/get-pip.py && \
+	python3 get-pip.py && \
+	rm get-pip.py
+
+# install dependencies
+# See https://pytorch.org/ for other options if you use a different version of CUDA
+RUN pip install tensorboard cython
+RUN pip install torch==1.5+cu101 torchvision==0.6+cu101 -f https://download.pytorch.org/whl/torch_stable.html
+RUN pip install 'git+https://github.com/cocodataset/cocoapi.git#subdirectory=PythonAPI'

vton-api/preprocess/humanparsing/mhp_extension/detectron2/docker/README.md

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+
+## Use the container (with docker ≥ 19.03)
+
+```
+cd docker/
+# Build:
+docker build --build-arg USER_ID=$UID -t detectron2:v0 .
+# Run:
+docker run --gpus all -it \
+	--shm-size=8gb --env="DISPLAY" --volume="/tmp/.X11-unix:/tmp/.X11-unix:rw" \
+	--name=detectron2 detectron2:v0
+
+# Grant docker access to host X server to show images
+xhost +local:`docker inspect --format='{{ .Config.Hostname }}' detectron2`
+```
+
+## Use the container (with docker < 19.03)
+
+Install docker-compose and nvidia-docker2, then run:
+```
+cd docker && USER_ID=$UID docker-compose run detectron2
+```
+
+#### Using a persistent cache directory
+
+You can prevent models from being re-downloaded on every run,
+by storing them in a cache directory.
+
+To do this, add `--volume=$HOME/.torch/fvcore_cache:/tmp:rw` in the run command.
+
+## Install new dependencies
+Add the following to `Dockerfile` to make persistent changes.
+```
+RUN sudo apt-get update && sudo apt-get install -y vim
+```
+Or run them in the container to make temporary changes.

vton-api/preprocess/humanparsing/mhp_extension/detectron2/docker/docker-compose.yml

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+version: "2.3"
+services:
+  detectron2:
+    build:
+      context: .
+      dockerfile: Dockerfile
+      args:
+        USER_ID: ${USER_ID:-1000}
+    runtime: nvidia  # TODO: Exchange with "gpu: all" in the future (see https://github.com/facebookresearch/detectron2/pull/197/commits/00545e1f376918db4a8ce264d427a07c1e896c5a).
+    shm_size: "8gb"
+    ulimits:
+      memlock: -1
+      stack: 67108864
+    volumes:
+      - /tmp/.X11-unix:/tmp/.X11-unix:ro
+    environment:
+      - DISPLAY=$DISPLAY
+      - NVIDIA_VISIBLE_DEVICES=all