rename master->main

Summary: many links are invalid

Reviewed By: zhanghang1989

Differential Revision: D32825269

fbshipit-source-id: f5f7b39a80aa1ed217b0b0fbff2878ea20c2fa51

.github/ISSUE_TEMPLATE/bugs.md

@@ -30,7 +30,7 @@ please tell us the expected behavior.
 
 Provide your environment information using the following command:
 ```
-wget -nc -q https://github.com/facebookresearch/detectron2/raw/master/detectron2/utils/collect_env.py && python collect_env.py
+wget -nc -q https://github.com/facebookresearch/detectron2/raw/main/detectron2/utils/collect_env.py && python collect_env.py
 ```
 
 If your issue looks like an installation issue / environment issue,

.github/ISSUE_TEMPLATE/feature-request.md

@@ -27,5 +27,5 @@ We do not take requests for most projects in the `projects/` directory, because
 
 Instead of adding features inside detectron2,
 you can implement many features by [extending detectron2](https://detectron2.readthedocs.io/tutorials/extend.html).
-The [projects/](https://github.com/facebookresearch/detectron2/tree/master/projects/) directory contains many of such examples.
+The [projects/](https://github.com/facebookresearch/detectron2/tree/main/projects/) directory contains many of such examples.
 

.github/ISSUE_TEMPLATE/unexpected-problems-bugs.md

@@ -37,7 +37,7 @@ a model fails to reproduce the results in detectron2 model zoo, or proves existe
 
 Paste the output of the following command:
 ```
-wget -nc -nv https://github.com/facebookresearch/detectron2/raw/master/detectron2/utils/collect_env.py && python collect_env.py
+wget -nc -nv https://github.com/facebookresearch/detectron2/raw/main/detectron2/utils/collect_env.py && python collect_env.py
 ```
 
 If your issue looks like an installation issue / environment issue,

GETTING_STARTED.md

@@ -75,5 +75,5 @@ to learn how to use detectron2 APIs to:
 1. run inference with an existing model
 2. train a builtin model on a custom dataset
 
-See [detectron2/projects](https://github.com/facebookresearch/detectron2/tree/master/projects)
+See [detectron2/projects](https://github.com/facebookresearch/detectron2/tree/main/projects)
 for more ways to build your project on detectron2.

INSTALL.md

@@ -57,8 +57,8 @@ Choose from this table to install [v0.6 (Oct 2021)](https://github.com/facebookr
 Note that:
 1. The pre-built packages have to be used with corresponding version of CUDA and the official package of PyTorch.
    Otherwise, please build detectron2 from source.
-2. New packages are released every few months. Therefore, packages may not contain latest features in the master
-   branch and may not be compatible with the master branch of a research project that uses detectron2
+2. New packages are released every few months. Therefore, packages may not contain latest features in the main
+   branch and may not be compatible with the main branch of a research project that uses detectron2
    (e.g. those in [projects](projects)).
 
 ### Common Installation Issues
@@ -224,7 +224,7 @@ Any issue on windows.
 </summary>
 <br/>
 
-Detectron2 is continuously built on windows with [CircleCI](https://app.circleci.com/pipelines/github/facebookresearch/detectron2?branch=master).
+Detectron2 is continuously built on windows with [CircleCI](https://app.circleci.com/pipelines/github/facebookresearch/detectron2?branch=main).
 However we do not provide official support for it.
 PRs that improves code compatibility on windows are welcome.
 </details>

configs/new_baselines/mask_rcnn_regnetx_4gf_dds_FPN_100ep_LSJ.py

@@ -10,7 +10,7 @@
 from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
 
 # Config source:
-# https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py  # noqa
+# https://github.com/facebookresearch/detectron2/blob/main/configs/COCO-InstanceSegmentation/mask_rcnn_regnetx_4gf_dds_fpn_1x.py  # noqa
 model.backbone.bottom_up = L(RegNet)(
     stem_class=SimpleStem,
     stem_width=32,

configs/new_baselines/mask_rcnn_regnety_4gf_dds_FPN_100ep_LSJ.py

@@ -10,7 +10,7 @@
 from detectron2.modeling.backbone.regnet import SimpleStem, ResBottleneckBlock
 
 # Config source:
-# https://github.com/facebookresearch/detectron2/blob/master/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py  # noqa
+# https://github.com/facebookresearch/detectron2/blob/main/configs/COCO-InstanceSegmentation/mask_rcnn_regnety_4gf_dds_fpn_1x.py  # noqa
 model.backbone.bottom_up = L(RegNet)(
     stem_class=SimpleStem,
     stem_width=32,

detectron2/model_zoo/__init__.py

@@ -1,7 +1,7 @@
 # Copyright (c) Facebook, Inc. and its affiliates.
 """
 Model Zoo API for Detectron2: a collection of functions to create common model architectures
-listed in `MODEL_ZOO.md <https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md>`_,
+listed in `MODEL_ZOO.md <https://github.com/facebookresearch/detectron2/blob/main/MODEL_ZOO.md>`_,
 and optionally load their pre-trained weights.
 """
 

docs/README.md

@@ -5,7 +5,7 @@ Documents in this directory are not meant to be read on github.
 
 # Build the docs:
 
-1. Install detectron2 according to [INSTALL.md](https://github.com/facebookresearch/detectron2/blob/master/INSTALL.md).
+1. Install detectron2 according to [INSTALL.md](../INSTALL.md).
 2. Install additional libraries required to build docs:
   - docutils==0.16
   - Sphinx==3.2.0

docs/conf.py

@@ -33,7 +33,7 @@ class GithubURLDomain(Domain):
     """
 
     name = "githuburl"
-    ROOT = "https://github.com/facebookresearch/detectron2/blob/master/"
+    ROOT = "https://github.com/facebookresearch/detectron2/blob/main/"
     LINKED_DOC = ["tutorials/install", "tutorials/getting_started"]
 
     def resolve_any_xref(self, env, fromdocname, builder, target, node, contnode):

docs/notes/benchmarks.md

@@ -47,7 +47,7 @@ with some other popular open source Mask R-CNN implementations.
 .. _Detectron: https://github.com/facebookresearch/Detectron
 __ https://github.com/matterport/Mask_RCNN/
 
-.. |D2| image:: https://github.com/facebookresearch/detectron2/raw/master/.github/Detectron2-Logo-Horz.svg?sanitize=true
+.. |D2| image:: https://github.com/facebookresearch/detectron2/raw/main/.github/Detectron2-Logo-Horz.svg?sanitize=true
    :height: 15pt
    :target: https://github.com/facebookresearch/detectron2/
 .. |PT| image:: https://pytorch.org/assets/images/logo-icon.svg

projects/DensePose/setup.py

@@ -30,7 +30,7 @@ def get_detectron2_current_version():
     name="detectron2-densepose",
     author="FAIR",
     version=get_detectron2_current_version(),
-    url="https://github.com/facebookresearch/detectron2/tree/master/projects/DensePose",
+    url="https://github.com/facebookresearch/detectron2/tree/main/projects/DensePose",
     packages=find_packages(),
     python_requires=">=3.6",
     install_requires=[

projects/Panoptic-DeepLab/panoptic_deeplab/target_generator.py

@@ -52,7 +52,7 @@ def __init__(
     def __call__(self, panoptic, segments_info):
         """Generates the training target.
         reference: https://github.com/mcordts/cityscapesScripts/blob/master/cityscapesscripts/preparation/createPanopticImgs.py  # noqa
-        reference: https://github.com/facebookresearch/detectron2/blob/master/datasets/prepare_panoptic_fpn.py#L18  # noqa
+        reference: https://github.com/facebookresearch/detectron2/blob/main/datasets/prepare_panoptic_fpn.py#L18  # noqa
 
         Args:
             panoptic: numpy.array, panoptic label, we assume it is already