ootdiffusion

preprocess/humanparsing/mhp_extension/detectron2/dev/linter.sh

+#!/bin/bash -e
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+# Run this script at project root by "./dev/linter.sh" before you commit
+
+vergte() {
+  [ "$2" = "$(echo -e "$1\\n$2" | sort -V | head -n1)" ]
+}
+
+{
+  black --version | grep -E "(19.3b0.*6733274)|(19.3b0\\+8)" > /dev/null
+} || {
+	echo "Linter requires 'black @ git+https://github.com/psf/black@673327449f86fce558adde153bb6cbe54bfebad2' !"
+	exit 1
+}
+
+ISORT_TARGET_VERSION="4.3.21"
+ISORT_VERSION=$(isort -v | grep VERSION | awk '{print $2}')
+vergte "$ISORT_VERSION" "$ISORT_TARGET_VERSION" || {
+  echo "Linter requires isort>=${ISORT_TARGET_VERSION} !"
+  exit 1
+}
+
+set -v
+
+echo "Running isort ..."
+isort -y -sp . --atomic
+
+echo "Running black ..."
+black -l 100 .
+
+echo "Running flake8 ..."
+if [ -x "$(command -v flake8-3)" ]; then
+  flake8-3 .
+else
+  python3 -m flake8 .
+fi
+
+# echo "Running mypy ..."
+# Pytorch does not have enough type annotations
+# mypy detectron2/solver detectron2/structures detectron2/config
+
+echo "Running clang-format ..."
+find . -regex ".*\.\(cpp\|c\|cc\|cu\|cxx\|h\|hh\|hpp\|hxx\|tcc\|mm\|m\)" -print0 | xargs -0 clang-format -i
+
+command -v arc > /dev/null && arc lint

preprocess/humanparsing/mhp_extension/detectron2/dev/packaging/README.md

+
+## To build a cu101 wheel for release:
+
+```
+$ nvidia-docker run -it --storage-opt "size=20GB" --name pt  pytorch/manylinux-cuda101
+# inside the container:
+# git clone https://github.com/facebookresearch/detectron2/
+# cd detectron2
+# export CU_VERSION=cu101 D2_VERSION_SUFFIX= PYTHON_VERSION=3.7 PYTORCH_VERSION=1.4
+# ./dev/packaging/build_wheel.sh
+```
+
+## To build all wheels for `CUDA {9.2,10.0,10.1}` x `Python {3.6,3.7,3.8}`:
+```
+./dev/packaging/build_all_wheels.sh
+./dev/packaging/gen_wheel_index.sh /path/to/wheels
+```

preprocess/humanparsing/mhp_extension/detectron2/dev/packaging/build_all_wheels.sh

+#!/bin/bash -e
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+PYTORCH_VERSION=1.5
+
+build_for_one_cuda() {
+  cu=$1
+
+  case "$cu" in
+    cu*)
+      container_name=manylinux-cuda${cu/cu/}
+      ;;
+    cpu)
+      container_name=manylinux-cuda101
+      ;;
+    *)
+      echo "Unrecognized cu=$cu"
+      exit 1
+      ;;
+  esac
+
+  echo "Launching container $container_name ..."
+
+  for py in 3.6 3.7 3.8; do
+    docker run -itd \
+      --name $container_name \
+      --mount type=bind,source="$(pwd)",target=/detectron2 \
+      pytorch/$container_name
+
+    cat <<EOF | docker exec -i $container_name sh
+      export CU_VERSION=$cu D2_VERSION_SUFFIX=+$cu PYTHON_VERSION=$py
+      export PYTORCH_VERSION=$PYTORCH_VERSION
+      cd /detectron2 && ./dev/packaging/build_wheel.sh
+EOF
+
+#     if [[ "$cu" == "cu101" ]]; then
+#       # build wheel without local version
+#       cat <<EOF | docker exec -i $container_name sh
+#         export CU_VERSION=$cu D2_VERSION_SUFFIX= PYTHON_VERSION=$py
+#         export PYTORCH_VERSION=$PYTORCH_VERSION
+#         cd /detectron2 && ./dev/packaging/build_wheel.sh
+# EOF
+#     fi
+
+    docker exec -i $container_name rm -rf /detectron2/build/$cu
+    docker container stop $container_name
+    docker container rm $container_name
+  done
+}
+
+if [[ -n "$1" ]]; then
+  build_for_one_cuda "$1"
+else
+  for cu in cu102 cu101 cu92 cpu; do
+    build_for_one_cuda "$cu"
+  done
+fi

preprocess/humanparsing/mhp_extension/detectron2/dev/packaging/build_wheel.sh

+#!/bin/bash
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+set -ex
+
+ldconfig  # https://github.com/NVIDIA/nvidia-docker/issues/854
+
+script_dir="$( cd "$( dirname "${BASH_SOURCE[0]}" )" >/dev/null 2>&1 && pwd )"
+. "$script_dir/pkg_helpers.bash"
+
+echo "Build Settings:"
+echo "CU_VERSION: $CU_VERSION"                 # e.g. cu101
+echo "D2_VERSION_SUFFIX: $D2_VERSION_SUFFIX"   # e.g. +cu101 or ""
+echo "PYTHON_VERSION: $PYTHON_VERSION"         # e.g. 3.6
+echo "PYTORCH_VERSION: $PYTORCH_VERSION"       # e.g. 1.4
+
+setup_cuda
+setup_wheel_python
+yum install ninja-build -y && ln -sv /usr/bin/ninja-build /usr/bin/ninja
+
+export TORCH_VERSION_SUFFIX="+$CU_VERSION"
+if [[ "$CU_VERSION" == "cu102" ]]; then
+	export TORCH_VERSION_SUFFIX=""
+fi
+pip_install pip numpy -U
+pip_install "torch==$PYTORCH_VERSION$TORCH_VERSION_SUFFIX" \
+	-f https://download.pytorch.org/whl/$CU_VERSION/torch_stable.html
+
+# use separate directories to allow parallel build
+BASE_BUILD_DIR=build/$CU_VERSION/$PYTHON_VERSION
+python setup.py \
+  build -b $BASE_BUILD_DIR \
+  bdist_wheel -b $BASE_BUILD_DIR/build_dist -d wheels/$CU_VERSION

preprocess/humanparsing/mhp_extension/detectron2/dev/packaging/gen_wheel_index.sh

+#!/bin/bash -e
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+
+root=$1
+if [[ -z "$root" ]]; then
+  echo "Usage: ./gen_wheel_index.sh /path/to/wheels"
+  exit
+fi
+
+index=$root/index.html
+
+cd "$root"
+for cu in cpu cu92 cu100 cu101 cu102; do
+  cd $cu
+  echo "Creating $PWD/index.html ..."
+  for whl in *.whl; do
+    echo "<a href=\"${whl/+/%2B}\">$whl</a><br>"
+  done > index.html
+  cd "$root"
+done
+
+echo "Creating $index ..."
+for whl in $(find . -type f -name '*.whl' -printf '%P\n' | sort); do
+  echo "<a href=\"${whl/+/%2B}\">$whl</a><br>"
+done > "$index"
+

preprocess/humanparsing/mhp_extension/detectron2/dev/packaging/pkg_helpers.bash

+#!/bin/bash -e
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+# Function to retry functions that sometimes timeout or have flaky failures
+retry () {
+    $*  || (sleep 1 && $*) || (sleep 2 && $*) || (sleep 4 && $*) || (sleep 8 && $*)
+}
+# Install with pip a bit more robustly than the default
+pip_install() {
+  retry pip install --progress-bar off "$@"
+}
+
+
+setup_cuda() {
+  # Now work out the CUDA settings
+  # Like other torch domain libraries, we choose common GPU architectures only.
+  export FORCE_CUDA=1
+  case "$CU_VERSION" in
+    cu102)
+      export CUDA_HOME=/usr/local/cuda-10.2/
+      export TORCH_CUDA_ARCH_LIST="3.5;3.7;5.0;5.2;6.0+PTX;6.1+PTX;7.0+PTX;7.5+PTX"
+      ;;
+    cu101)
+      export CUDA_HOME=/usr/local/cuda-10.1/
+      export TORCH_CUDA_ARCH_LIST="3.5;3.7;5.0;5.2;6.0+PTX;6.1+PTX;7.0+PTX;7.5+PTX"
+      ;;
+    cu100)
+      export CUDA_HOME=/usr/local/cuda-10.0/
+      export TORCH_CUDA_ARCH_LIST="3.5;3.7;5.0;5.2;6.0+PTX;6.1+PTX;7.0+PTX;7.5+PTX"
+      ;;
+    cu92)
+      export CUDA_HOME=/usr/local/cuda-9.2/
+      export TORCH_CUDA_ARCH_LIST="3.5;3.7;5.0;5.2;6.0+PTX;6.1+PTX;7.0+PTX"
+      ;;
+    cpu)
+      unset FORCE_CUDA
+      export CUDA_VISIBLE_DEVICES=
+      ;;
+    *)
+      echo "Unrecognized CU_VERSION=$CU_VERSION"
+      exit 1
+      ;;
+  esac
+}
+
+setup_wheel_python() {
+  case "$PYTHON_VERSION" in
+    3.6) python_abi=cp36-cp36m ;;
+    3.7) python_abi=cp37-cp37m ;;
+    3.8) python_abi=cp38-cp38 ;;
+    *)
+      echo "Unrecognized PYTHON_VERSION=$PYTHON_VERSION"
+      exit 1
+      ;;
+  esac
+  export PATH="/opt/python/$python_abi/bin:$PATH"
+}

preprocess/humanparsing/mhp_extension/detectron2/dev/parse_results.sh

+#!/bin/bash
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+# A shell script that parses metrics from the log file.
+# Make it easier for developers to track performance of models.
+
+LOG="$1"
+
+if [[ -z "$LOG" ]]; then
+	echo "Usage: $0 /path/to/log/file"
+	exit 1
+fi
+
+# [12/15 11:47:32] trainer INFO: Total training time: 12:15:04.446477 (0.4900 s / it)
+# [12/15 11:49:03] inference INFO: Total inference time: 0:01:25.326167 (0.13652186737060548 s / demo per device, on 8 devices)
+# [12/15 11:49:03] inference INFO: Total inference pure compute time: .....
+
+# training time
+trainspeed=$(grep -o 'Overall training.*' "$LOG" | grep -Eo '\(.*\)' | grep -o '[0-9\.]*')
+echo "Training speed: $trainspeed s/it"
+
+# inference time: there could be multiple inference during training
+inferencespeed=$(grep -o 'Total inference pure.*' "$LOG" | tail -n1 | grep -Eo '\(.*\)' | grep -o '[0-9\.]*' | head -n1)
+echo "Inference speed: $inferencespeed s/it"
+
+# [12/15 11:47:18] trainer INFO: eta: 0:00:00  iter: 90000  loss: 0.5407 (0.7256)  loss_classifier: 0.1744 (0.2446)  loss_box_reg: 0.0838 (0.1160)  loss_mask: 0.2159 (0.2722)  loss_objectness: 0.0244 (0.0429)  loss_rpn_box_reg: 0.0279 (0.0500)  time: 0.4487 (0.4899)  data: 0.0076 (0.0975) lr: 0.000200  max mem: 4161
+memory=$(grep -o 'max[_ ]mem: [0-9]*' "$LOG" | tail -n1 | grep -o '[0-9]*')
+echo "Training memory: $memory MB"
+
+echo "Easy to copypaste:"
+echo "$trainspeed","$inferencespeed","$memory"
+
+echo "------------------------------"
+
+# [12/26 17:26:32] engine.coco_evaluation: copypaste: Task: bbox
+# [12/26 17:26:32] engine.coco_evaluation: copypaste: AP,AP50,AP75,APs,APm,APl
+# [12/26 17:26:32] engine.coco_evaluation: copypaste: 0.0017,0.0024,0.0017,0.0005,0.0019,0.0011
+# [12/26 17:26:32] engine.coco_evaluation: copypaste: Task: segm
+# [12/26 17:26:32] engine.coco_evaluation: copypaste: AP,AP50,AP75,APs,APm,APl
+# [12/26 17:26:32] engine.coco_evaluation: copypaste: 0.0014,0.0021,0.0016,0.0005,0.0016,0.0011
+
+echo "COCO Results:"
+num_tasks=$(grep -o 'copypaste:.*Task.*' "$LOG" | sort -u | wc -l)
+# each task has 3 lines
+grep -o 'copypaste:.*' "$LOG" | cut -d ' ' -f 2- | tail -n $((num_tasks * 3))

preprocess/humanparsing/mhp_extension/detectron2/dev/run_inference_tests.sh

+#!/bin/bash -e
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+BIN="python tools/train_net.py"
+OUTPUT="inference_test_output"
+NUM_GPUS=2
+
+CFG_LIST=( "${@:1}" )
+
+if [ ${#CFG_LIST[@]} -eq 0 ]; then
+  CFG_LIST=( ./configs/quick_schedules/*inference_acc_test.yaml )
+fi
+
+echo "========================================================================"
+echo "Configs to run:"
+echo "${CFG_LIST[@]}"
+echo "========================================================================"
+
+
+for cfg in "${CFG_LIST[@]}"; do
+    echo "========================================================================"
+    echo "Running $cfg ..."
+    echo "========================================================================"
+    $BIN \
+      --eval-only \
+      --num-gpus $NUM_GPUS \
+      --config-file "$cfg" \
+      OUTPUT_DIR $OUTPUT
+      rm -rf $OUTPUT
+done
+
+
+echo "========================================================================"
+echo "Running demo.py ..."
+echo "========================================================================"
+DEMO_BIN="python demo/demo.py"
+COCO_DIR=datasets/coco/val2014
+mkdir -pv $OUTPUT
+
+set -v
+
+$DEMO_BIN --config-file ./configs/quick_schedules/panoptic_fpn_R_50_inference_acc_test.yaml \
+  --input $COCO_DIR/COCO_val2014_0000001933* --output $OUTPUT
+rm -rf $OUTPUT

preprocess/humanparsing/mhp_extension/detectron2/dev/run_instant_tests.sh

+#!/bin/bash -e
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+BIN="python tools/train_net.py"
+OUTPUT="instant_test_output"
+NUM_GPUS=2
+
+CFG_LIST=( "${@:1}" )
+if [ ${#CFG_LIST[@]} -eq 0 ]; then
+  CFG_LIST=( ./configs/quick_schedules/*instant_test.yaml )
+fi
+
+echo "========================================================================"
+echo "Configs to run:"
+echo "${CFG_LIST[@]}"
+echo "========================================================================"
+
+for cfg in "${CFG_LIST[@]}"; do
+    echo "========================================================================"
+    echo "Running $cfg ..."
+    echo "========================================================================"
+    $BIN --num-gpus $NUM_GPUS --config-file "$cfg" \
+      SOLVER.IMS_PER_BATCH $(($NUM_GPUS * 2)) \
+      OUTPUT_DIR "$OUTPUT"
+    rm -rf "$OUTPUT"
+done
+

preprocess/humanparsing/mhp_extension/detectron2/docker/Dockerfile

+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

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

+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'

preprocess/humanparsing/mhp_extension/detectron2/docker/README.md

+
+## 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.

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

+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

preprocess/humanparsing/mhp_extension/detectron2/docs/.gitignore

+_build

preprocess/humanparsing/mhp_extension/detectron2/docs/Makefile

+# Minimal makefile for Sphinx documentation
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+# You can set these variables from the command line.
+SPHINXOPTS    =
+SPHINXBUILD   = sphinx-build
+SOURCEDIR     = .
+BUILDDIR      = _build
+
+# Put it first so that "make" without argument is like "make help".
+help:
+	@$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)
+
+.PHONY: help Makefile
+
+# Catch-all target: route all unknown targets to Sphinx using the new
+# "make mode" option.  $(O) is meant as a shortcut for $(SPHINXOPTS).
+%: Makefile
+	@$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O)

preprocess/humanparsing/mhp_extension/detectron2/docs/README.md

+# Read the docs:
+
+The latest documentation built from this directory is available at [detectron2.readthedocs.io](https://detectron2.readthedocs.io/).
+Documents in this directory are not meant to be read on github.
+
+# Build the docs:
+
+1. Install detectron2 according to [INSTALL.md](INSTALL.md).
+2. Install additional libraries required to build docs:
+  - docutils==0.16
+  - Sphinx==3.0.0
+  - recommonmark==0.6.0
+  - sphinx_rtd_theme
+  - mock
+
+3. Run `make html` from this directory.

preprocess/humanparsing/mhp_extension/detectron2/docs/conf.py

+# -*- coding: utf-8 -*-
+# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
+
+# flake8: noqa
+
+# Configuration file for the Sphinx documentation builder.
+#
+# This file does only contain a selection of the most common options. For a
+# full list see the documentation:
+# http://www.sphinx-doc.org/en/master/config
+
+# -- Path setup --------------------------------------------------------------
+
+# If extensions (or modules to document with autodoc) are in another directory,
+# add these directories to sys.path here. If the directory is relative to the
+# documentation root, use os.path.abspath to make it absolute, like shown here.
+#
+import os
+import sys
+import mock
+from sphinx.domains import Domain
+from typing import Dict, List, Tuple
+
+# The theme to use for HTML and HTML Help pages.  See the documentation for
+# a list of builtin themes.
+#
+import sphinx_rtd_theme
+
+
+class GithubURLDomain(Domain):
+    """
+    Resolve certain links in markdown files to github source.
+    """
+
+    name = "githuburl"
+    ROOT = "https://github.com/facebookresearch/detectron2/blob/master/"
+    LINKED_DOC = ["tutorials/install", "tutorials/getting_started"]
+
+    def resolve_any_xref(self, env, fromdocname, builder, target, node, contnode):
+        github_url = None
+        if not target.endswith("html") and target.startswith("../../"):
+            url = target.replace("../", "")
+            github_url = url
+        if fromdocname in self.LINKED_DOC:
+            # unresolved links in these docs are all github links
+            github_url = target
+
+        if github_url is not None:
+            if github_url.endswith("MODEL_ZOO") or github_url.endswith("README"):
+                # bug of recommonmark.
+                # https://github.com/readthedocs/recommonmark/blob/ddd56e7717e9745f11300059e4268e204138a6b1/recommonmark/parser.py#L152-L155
+                github_url += ".md"
+            print("Ref {} resolved to github:{}".format(target, github_url))
+            contnode["refuri"] = self.ROOT + github_url
+            return [("githuburl:any", contnode)]
+        else:
+            return []
+
+
+# to support markdown
+from recommonmark.parser import CommonMarkParser
+
+sys.path.insert(0, os.path.abspath("../"))
+os.environ["DOC_BUILDING"] = "True"
+DEPLOY = os.environ.get("READTHEDOCS") == "True"
+
+
+# -- Project information -----------------------------------------------------
+
+# fmt: off
+try:
+    import torch  # noqa
+except ImportError:
+    for m in [
+        "torch", "torchvision", "torch.nn", "torch.nn.parallel", "torch.distributed", "torch.multiprocessing", "torch.autograd",
+        "torch.autograd.function", "torch.nn.modules", "torch.nn.modules.utils", "torch.utils", "torch.utils.data", "torch.onnx",
+        "torchvision", "torchvision.ops",
+    ]:
+        sys.modules[m] = mock.Mock(name=m)
+    sys.modules['torch'].__version__ = "1.5"  # fake version
+
+for m in [
+    "cv2", "scipy", "portalocker", "detectron2._C",
+    "pycocotools", "pycocotools.mask", "pycocotools.coco", "pycocotools.cocoeval",
+    "google", "google.protobuf", "google.protobuf.internal", "onnx",
+    "caffe2", "caffe2.proto", "caffe2.python", "caffe2.python.utils", "caffe2.python.onnx", "caffe2.python.onnx.backend",
+]:
+    sys.modules[m] = mock.Mock(name=m)
+# fmt: on
+sys.modules["cv2"].__version__ = "3.4"
+
+import detectron2  # isort: skip
+
+
+project = "detectron2"
+copyright = "2019-2020, detectron2 contributors"
+author = "detectron2 contributors"
+
+# The short X.Y version
+version = detectron2.__version__
+# The full version, including alpha/beta/rc tags
+release = version
+
+
+# -- General configuration ---------------------------------------------------
+
+# If your documentation needs a minimal Sphinx version, state it here.
+#
+needs_sphinx = "3.0"
+
+# Add any Sphinx extension module names here, as strings. They can be
+# extensions coming with Sphinx (named 'sphinx.ext.*') or your custom
+# ones.
+extensions = [
+    "recommonmark",
+    "sphinx.ext.autodoc",
+    "sphinx.ext.napoleon",
+    "sphinx.ext.intersphinx",
+    "sphinx.ext.todo",
+    "sphinx.ext.coverage",
+    "sphinx.ext.mathjax",
+    "sphinx.ext.viewcode",
+    "sphinx.ext.githubpages",
+]
+
+# -- Configurations for plugins ------------
+napoleon_google_docstring = True
+napoleon_include_init_with_doc = True
+napoleon_include_special_with_doc = True
+napoleon_numpy_docstring = False
+napoleon_use_rtype = False
+autodoc_inherit_docstrings = False
+autodoc_member_order = "bysource"
+
+if DEPLOY:
+    intersphinx_timeout = 10
+else:
+    # skip this when building locally
+    intersphinx_timeout = 0.1
+intersphinx_mapping = {
+    "python": ("https://docs.python.org/3.6", None),
+    "numpy": ("https://docs.scipy.org/doc/numpy/", None),
+    "torch": ("https://pytorch.org/docs/master/", None),
+}
+# -------------------------
+
+
+# Add any paths that contain templates here, relative to this directory.
+templates_path = ["_templates"]
+
+source_suffix = [".rst", ".md"]
+
+# The master toctree document.
+master_doc = "index"
+
+# The language for content autogenerated by Sphinx. Refer to documentation
+# for a list of supported languages.
+#
+# This is also used if you do content translation via gettext catalogs.
+# Usually you set "language" from the command line for these cases.
+language = None
+
+# List of patterns, relative to source directory, that match files and
+# directories to ignore when looking for source files.
+# This pattern also affects html_static_path and html_extra_path.
+exclude_patterns = ["_build", "Thumbs.db", ".DS_Store", "build", "README.md", "tutorials/README.md"]
+
+# The name of the Pygments (syntax highlighting) style to use.
+pygments_style = "sphinx"
+
+
+# -- Options for HTML output -------------------------------------------------
+
+html_theme = "sphinx_rtd_theme"
+html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
+
+# Theme options are theme-specific and customize the look and feel of a theme
+# further.  For a list of options available for each theme, see the
+# documentation.
+#
+# html_theme_options = {}
+
+# Add any paths that contain custom static files (such as style sheets) here,
+# relative to this directory. They are copied after the builtin static files,
+# so a file named "default.css" will overwrite the builtin "default.css".
+html_static_path = ["_static"]
+
+# Custom sidebar templates, must be a dictionary that maps document names
+# to template names.
+#
+# The default sidebars (for documents that don't match any pattern) are
+# defined by theme itself.  Builtin themes are using these templates by
+# default: ``['localtoc.html', 'relations.html', 'sourcelink.html',
+# 'searchbox.html']``.
+#
+# html_sidebars = {}
+
+
+# -- Options for HTMLHelp output ---------------------------------------------
+
+# Output file base name for HTML help builder.
+htmlhelp_basename = "detectron2doc"
+
+
+# -- Options for LaTeX output ------------------------------------------------
+
+latex_elements = {
+    # The paper size ('letterpaper' or 'a4paper').
+    #
+    # 'papersize': 'letterpaper',
+    # The font size ('10pt', '11pt' or '12pt').
+    #
+    # 'pointsize': '10pt',
+    # Additional stuff for the LaTeX preamble.
+    #
+    # 'preamble': '',
+    # Latex figure (float) alignment
+    #
+    # 'figure_align': 'htbp',
+}
+
+# Grouping the document tree into LaTeX files. List of tuples
+# (source start file, target name, title,
+#  author, documentclass [howto, manual, or own class]).
+latex_documents = [
+    (master_doc, "detectron2.tex", "detectron2 Documentation", "detectron2 contributors", "manual")
+]
+
+
+# -- Options for manual page output ------------------------------------------
+
+# One entry per manual page. List of tuples
+# (source start file, name, description, authors, manual section).
+man_pages = [(master_doc, "detectron2", "detectron2 Documentation", [author], 1)]
+
+
+# -- Options for Texinfo output ----------------------------------------------
+
+# Grouping the document tree into Texinfo files. List of tuples
+# (source start file, target name, title, author,
+#  dir menu entry, description, category)
+texinfo_documents = [
+    (
+        master_doc,
+        "detectron2",
+        "detectron2 Documentation",
+        author,
+        "detectron2",
+        "One line description of project.",
+        "Miscellaneous",
+    )
+]
+
+
+# -- Options for todo extension ----------------------------------------------
+
+# If true, `todo` and `todoList` produce output, else they produce nothing.
+todo_include_todos = True
+
+
+_DEPRECATED_NAMES = set()
+
+
+def autodoc_skip_member(app, what, name, obj, skip, options):
+    # we hide something deliberately
+    if getattr(obj, "__HIDE_SPHINX_DOC__", False):
+        return True
+    # Hide some names that are deprecated or not intended to be used
+    if name in _DEPRECATED_NAMES:
+        return True
+    return None
+
+
+_PAPER_DATA = {
+    "resnet": ("1512.03385", "Deep Residual Learning for Image Recognition"),
+    "fpn": ("1612.03144", "Feature Pyramid Networks for Object Detection"),
+    "mask r-cnn": ("1703.06870", "Mask R-CNN"),
+    "faster r-cnn": (
+        "1506.01497",
+        "Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks",
+    ),
+    "deformconv": ("1703.06211", "Deformable Convolutional Networks"),
+    "deformconv2": ("1811.11168", "Deformable ConvNets v2: More Deformable, Better Results"),
+    "panopticfpn": ("1901.02446", "Panoptic Feature Pyramid Networks"),
+    "retinanet": ("1708.02002", "Focal Loss for Dense Object Detection"),
+    "cascade r-cnn": ("1712.00726", "Cascade R-CNN: Delving into High Quality Object Detection"),
+    "lvis": ("1908.03195", "LVIS: A Dataset for Large Vocabulary Instance Segmentation"),
+    "rrpn": ("1703.01086", "Arbitrary-Oriented Scene Text Detection via Rotation Proposals"),
+    "in1k1h": ("1706.02677", "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour"),
+}
+
+
+def paper_ref_role(
+    typ: str,
+    rawtext: str,
+    text: str,
+    lineno: int,
+    inliner,
+    options: Dict = {},
+    content: List[str] = [],
+):
+    """
+    Parse :paper:`xxx`. Similar to the "extlinks" sphinx extension.
+    """
+    from docutils import nodes, utils
+    from sphinx.util.nodes import split_explicit_title
+
+    text = utils.unescape(text)
+    has_explicit_title, title, link = split_explicit_title(text)
+    link = link.lower()
+    if link not in _PAPER_DATA:
+        inliner.reporter.warning("Cannot find paper " + link)
+        paper_url, paper_title = "#", link
+    else:
+        paper_url, paper_title = _PAPER_DATA[link]
+        if "/" not in paper_url:
+            paper_url = "https://arxiv.org/abs/" + paper_url
+    if not has_explicit_title:
+        title = paper_title
+    pnode = nodes.reference(title, title, internal=False, refuri=paper_url)
+    return [pnode], []
+
+
+def setup(app):
+    from recommonmark.transform import AutoStructify
+
+    app.add_domain(GithubURLDomain)
+    app.connect("autodoc-skip-member", autodoc_skip_member)
+    app.add_role("paper", paper_ref_role)
+    app.add_config_value(
+        "recommonmark_config",
+        {"enable_math": True, "enable_inline_math": True, "enable_eval_rst": True},
+        True,
+    )
+    app.add_transform(AutoStructify)

preprocess/humanparsing/mhp_extension/detectron2/docs/index.rst

+.. detectron2 documentation master file, created by
+   sphinx-quickstart on Sat Sep 21 13:46:45 2019.
+   You can adapt this file completely to your liking, but it should at least
+   contain the root `toctree` directive.
+
+Welcome to detectron2's documentation!
+======================================
+
+.. toctree::
+   :maxdepth: 2
+
+   tutorials/index
+   notes/index
+   modules/index

preprocess/humanparsing/mhp_extension/detectron2/docs/modules/checkpoint.rst

+detectron2.checkpoint package
+=============================
+
+.. automodule:: detectron2.checkpoint
+    :members:
+    :undoc-members:
+    :show-inheritance:

preprocess/humanparsing/mhp_extension/detectron2/docs/modules/config.rst

+detectron2.config package
+=========================
+
+.. automodule:: detectron2.config
+    :members:
+    :undoc-members:
+    :show-inheritance:
+    :inherited-members:
+
+
+Config References
+-----------------
+
+.. literalinclude:: ../../detectron2/config/defaults.py
+  :language: python
+  :linenos:
+  :lines: 4-