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import os
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import sys
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import mock
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from sphinx.domains import Domain
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from typing import Dict, List, Tuple
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import sphinx_rtd_theme
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class GithubURLDomain(Domain):
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"""
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Resolve certain links in markdown files to github source.
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"""
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name = "githuburl"
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ROOT = "https://github.com/facebookresearch/detectron2/blob/master/"
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LINKED_DOC = ["tutorials/install", "tutorials/getting_started"]
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def resolve_any_xref(self, env, fromdocname, builder, target, node, contnode):
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github_url = None
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if not target.endswith("html") and target.startswith("../../"):
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url = target.replace("../", "")
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github_url = url
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if fromdocname in self.LINKED_DOC:
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github_url = target
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if github_url is not None:
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if github_url.endswith("MODEL_ZOO") or github_url.endswith("README"):
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github_url += ".md"
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print("Ref {} resolved to github:{}".format(target, github_url))
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contnode["refuri"] = self.ROOT + github_url
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return [("githuburl:any", contnode)]
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else:
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return []
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from recommonmark.parser import CommonMarkParser
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sys.path.insert(0, os.path.abspath("../"))
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os.environ["DOC_BUILDING"] = "True"
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DEPLOY = os.environ.get("READTHEDOCS") == "True"
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try:
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import torch
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except ImportError:
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for m in [
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"torch", "torchvision", "torch.nn", "torch.nn.parallel", "torch.distributed", "torch.multiprocessing", "torch.autograd",
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"torch.autograd.function", "torch.nn.modules", "torch.nn.modules.utils", "torch.utils", "torch.utils.data", "torch.onnx",
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"torchvision", "torchvision.ops",
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]:
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sys.modules[m] = mock.Mock(name=m)
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sys.modules['torch'].__version__ = "1.5"
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for m in [
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"cv2", "scipy", "portalocker", "detectron2._C",
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"pycocotools", "pycocotools.mask", "pycocotools.coco", "pycocotools.cocoeval",
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"google", "google.protobuf", "google.protobuf.internal", "onnx",
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"caffe2", "caffe2.proto", "caffe2.python", "caffe2.python.utils", "caffe2.python.onnx", "caffe2.python.onnx.backend",
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]:
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sys.modules[m] = mock.Mock(name=m)
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sys.modules["cv2"].__version__ = "3.4"
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import detectron2
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project = "detectron2"
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copyright = "2019-2020, detectron2 contributors"
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author = "detectron2 contributors"
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version = detectron2.__version__
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release = version
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needs_sphinx = "3.0"
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extensions = [
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"recommonmark",
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"sphinx.ext.autodoc",
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"sphinx.ext.napoleon",
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"sphinx.ext.intersphinx",
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"sphinx.ext.todo",
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"sphinx.ext.coverage",
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"sphinx.ext.mathjax",
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"sphinx.ext.viewcode",
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"sphinx.ext.githubpages",
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]
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napoleon_google_docstring = True
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napoleon_include_init_with_doc = True
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napoleon_include_special_with_doc = True
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napoleon_numpy_docstring = False
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napoleon_use_rtype = False
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autodoc_inherit_docstrings = False
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autodoc_member_order = "bysource"
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if DEPLOY:
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intersphinx_timeout = 10
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else:
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intersphinx_timeout = 0.1
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intersphinx_mapping = {
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"python": ("https://docs.python.org/3.6", None),
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"numpy": ("https://docs.scipy.org/doc/numpy/", None),
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"torch": ("https://pytorch.org/docs/master/", None),
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}
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templates_path = ["_templates"]
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source_suffix = [".rst", ".md"]
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master_doc = "index"
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language = None
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exclude_patterns = ["_build", "Thumbs.db", ".DS_Store", "build", "README.md", "tutorials/README.md"]
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pygments_style = "sphinx"
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html_theme = "sphinx_rtd_theme"
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html_theme_path = [sphinx_rtd_theme.get_html_theme_path()]
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html_static_path = ["_static"]
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htmlhelp_basename = "detectron2doc"
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latex_elements = {
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}
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latex_documents = [
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(master_doc, "detectron2.tex", "detectron2 Documentation", "detectron2 contributors", "manual")
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]
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man_pages = [(master_doc, "detectron2", "detectron2 Documentation", [author], 1)]
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texinfo_documents = [
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(
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master_doc,
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"detectron2",
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"detectron2 Documentation",
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author,
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"detectron2",
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"One line description of project.",
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"Miscellaneous",
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)
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]
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todo_include_todos = True
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_DEPRECATED_NAMES = set()
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def autodoc_skip_member(app, what, name, obj, skip, options):
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if getattr(obj, "__HIDE_SPHINX_DOC__", False):
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return True
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if name in _DEPRECATED_NAMES:
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return True
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return None
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_PAPER_DATA = {
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"resnet": ("1512.03385", "Deep Residual Learning for Image Recognition"),
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"fpn": ("1612.03144", "Feature Pyramid Networks for Object Detection"),
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"mask r-cnn": ("1703.06870", "Mask R-CNN"),
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"faster r-cnn": (
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"1506.01497",
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"Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks",
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),
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"deformconv": ("1703.06211", "Deformable Convolutional Networks"),
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"deformconv2": ("1811.11168", "Deformable ConvNets v2: More Deformable, Better Results"),
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"panopticfpn": ("1901.02446", "Panoptic Feature Pyramid Networks"),
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"retinanet": ("1708.02002", "Focal Loss for Dense Object Detection"),
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"cascade r-cnn": ("1712.00726", "Cascade R-CNN: Delving into High Quality Object Detection"),
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"lvis": ("1908.03195", "LVIS: A Dataset for Large Vocabulary Instance Segmentation"),
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"rrpn": ("1703.01086", "Arbitrary-Oriented Scene Text Detection via Rotation Proposals"),
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"in1k1h": ("1706.02677", "Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour"),
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}
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def paper_ref_role(
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typ: str,
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rawtext: str,
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text: str,
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lineno: int,
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inliner,
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options: Dict = {},
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content: List[str] = [],
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):
|
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"""
|
|
Parse :paper:`xxx`. Similar to the "extlinks" sphinx extension.
|
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"""
|
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from docutils import nodes, utils
|
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from sphinx.util.nodes import split_explicit_title
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|
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text = utils.unescape(text)
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has_explicit_title, title, link = split_explicit_title(text)
|
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link = link.lower()
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if link not in _PAPER_DATA:
|
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inliner.reporter.warning("Cannot find paper " + link)
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paper_url, paper_title = "#", link
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else:
|
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paper_url, paper_title = _PAPER_DATA[link]
|
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if "/" not in paper_url:
|
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paper_url = "https://arxiv.org/abs/" + paper_url
|
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if not has_explicit_title:
|
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title = paper_title
|
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pnode = nodes.reference(title, title, internal=False, refuri=paper_url)
|
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return [pnode], []
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|
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def setup(app):
|
|
from recommonmark.transform import AutoStructify
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|
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app.add_domain(GithubURLDomain)
|
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app.connect("autodoc-skip-member", autodoc_skip_member)
|
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app.add_role("paper", paper_ref_role)
|
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app.add_config_value(
|
|
"recommonmark_config",
|
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{"enable_math": True, "enable_inline_math": True, "enable_eval_rst": True},
|
|
True,
|
|
)
|
|
app.add_transform(AutoStructify)
|
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|