Merge branch 'master' into v1.0.0.dev0

docs/tutorials/config.md → docs/en/tutorials/config.md

@@ -214,13 +214,13 @@ train_pipeline = [  # Training pipeline, refer to mmdet3d.datasets.pipelines for
         rot_range=[-0.027777777777777776, 0.027777777777777776],  # Range of rotation
         scale_range=None),  # Range of scale
     dict(
-        type='DefaultFormatBundle3D',  # Default format bundle to gather data in the pipeline, refer to mmdet3d.datasets.pipelines.formating for more details
+        type='DefaultFormatBundle3D',  # Default format bundle to gather data in the pipeline, refer to mmdet3d.datasets.pipelines.formatting for more details
         class_names=('cabinet', 'bed', 'chair', 'sofa', 'table', 'door',
                      'window', 'bookshelf', 'picture', 'counter', 'desk',
                      'curtain', 'refrigerator', 'showercurtrain', 'toilet',
                      'sink', 'bathtub', 'garbagebin')),
     dict(
-        type='Collect3D',  # Pipeline that decides which keys in the data should be passed to the detector, refer to mmdet3d.datasets.pipelines.formating for more details
+        type='Collect3D',  # Pipeline that decides which keys in the data should be passed to the detector, refer to mmdet3d.datasets.pipelines.formatting for more details
         keys=[
             'points', 'gt_bboxes_3d', 'gt_labels_3d', 'pts_semantic_mask',
             'pts_instance_mask'
@@ -235,12 +235,12 @@ test_pipeline = [  # Testing pipeline, refer to mmdet3d.datasets.pipelines for m
     dict(type='PointSample',  # Sample points, refer to mmdet3d.datasets.pipelines.transforms_3d for more details
         num_points=40000),  # Number of points to be sampled
     dict(
-        type='DefaultFormatBundle3D',  # Default format bundle to gather data in the pipeline, refer to mmdet3d.datasets.pipelines.formating for more details
+        type='DefaultFormatBundle3D',  # Default format bundle to gather data in the pipeline, refer to mmdet3d.datasets.pipelines.formatting for more details
         class_names=('cabinet', 'bed', 'chair', 'sofa', 'table', 'door',
                      'window', 'bookshelf', 'picture', 'counter', 'desk',
                      'curtain', 'refrigerator', 'showercurtrain', 'toilet',
                      'sink', 'bathtub', 'garbagebin')),
-    dict(type='Collect3D',  # Pipeline that decides which keys in the data should be passed to the detector, refer to mmdet3d.datasets.pipelines.formating for more details
+    dict(type='Collect3D',  # Pipeline that decides which keys in the data should be passed to the detector, refer to mmdet3d.datasets.pipelines.formatting for more details
         keys=['points'])
 ]
 eval_pipeline = [  # Pipeline used for evaluation or visualization, refer to mmdet3d.datasets.pipelines for more details
@@ -250,13 +250,13 @@ eval_pipeline = [  # Pipeline used for evaluation or visualization, refer to mmd
         load_dim=6,  # The dimension of the loaded points
         use_dim=[0, 1, 2]),  # Which dimensions of the points to be used
     dict(
-        type='DefaultFormatBundle3D',  # Default format bundle to gather data in the pipeline, refer to mmdet3d.datasets.pipelines.formating for more details
+        type='DefaultFormatBundle3D',  # Default format bundle to gather data in the pipeline, refer to mmdet3d.datasets.pipelines.formatting for more details
         class_names=('cabinet', 'bed', 'chair', 'sofa', 'table', 'door',
                      'window', 'bookshelf', 'picture', 'counter', 'desk',
                      'curtain', 'refrigerator', 'showercurtrain', 'toilet',
                      'sink', 'bathtub', 'garbagebin')),
         with_label=False),
-    dict(type='Collect3D',  # Pipeline that decides which keys in the data should be passed to the detector, refer to mmdet3d.datasets.pipelines.formating for more details
+    dict(type='Collect3D',  # Pipeline that decides which keys in the data should be passed to the detector, refer to mmdet3d.datasets.pipelines.formatting for more details
         keys=['points'])
 ]
 data = dict(

docs/conf.py → docs/zh_cn/conf.py

@@ -17,7 +17,7 @@ import sys
 from m2r import MdInclude
 from recommonmark.transform import AutoStructify
 
-sys.path.insert(0, os.path.abspath('..'))
+sys.path.insert(0, os.path.abspath('../../'))
 
 # -- Project information -----------------------------------------------------
 
@@ -25,7 +25,7 @@ project = 'MMDetection3D'
 copyright = '2020-2023, OpenMMLab'
 author = 'MMDetection3D Authors'
 
-version_file = '../mmdet3d/version.py'
+version_file = '../../mmdet3d/version.py'
 
 
 def get_version():
@@ -54,7 +54,7 @@ extensions = [
 
 autodoc_mock_imports = [
     'matplotlib', 'nuscenes', 'PIL', 'pycocotools', 'pyquaternion',
-    'terminaltables', 'mmdet3d.version', 'mmdet3d.ops'
+    'terminaltables', 'mmdet3d.version', 'mmdet3d.ops', 'mmcv.ops'
 ]
 autosectionlabel_prefix_document = True
 
@@ -95,75 +95,30 @@ html_theme_options = {
         },
         {
             'name':
-            'Projects',
+            '上游库',
             'children': [
-                {
-                    'name': 'MMAction2',
-                    'url': 'https://github.com/open-mmlab/mmaction2',
-                },
-                {
-                    'name': 'MMClassification',
-                    'url': 'https://github.com/open-mmlab/mmclassification',
-                },
                 {
                     'name': 'MMCV',
-                    'url': 'https://github.com/open-mmlab/mmmmcv',
+                    'url': 'https://github.com/open-mmlab/mmcv',
+                    'description': '基础视觉库'
                 },
                 {
                     'name': 'MMDetection',
                     'url': 'https://github.com/open-mmlab/mmdetection',
-                },
-                {
-                    'name': 'MMEditing',
-                    'url': 'https://github.com/open-mmlab/mmediting',
-                },
-                {
-                    'name': 'MMGeneration',
-                    'url': 'https://github.com/open-mmlab/mmgeneration',
-                },
-                {
-                    'name': 'MMOCR',
-                    'url': 'https://github.com/open-mmlab/mmocr',
-                },
-                {
-                    'name': 'MMPose',
-                    'url': 'https://github.com/open-mmlab/mmpose',
-                },
-                {
-                    'name': 'MMSegmentation',
-                    'url': 'https://github.com/open-mmlab/mmsegmentation',
-                },
-                {
-                    'name': 'MMTracking',
-                    'url': 'https://github.com/open-mmlab/mmtracking',
-                },
-            ]
-        },
-        {
-            'name':
-            'OpenMMLab',
-            'children': [
-                {
-                    'name': 'Homepage',
-                    'url': 'https://openmmlab.com/'
-                },
-                {
-                    'name': 'GitHub',
-                    'url': 'https://github.com/open-mmlab/'
-                },
-                {
-                    'name': 'Twitter',
-                    'url': 'https://twitter.com/OpenMMLab'
-                },
-                {
-                    'name': 'Zhihu',
-                    'url': 'https://zhihu.com/people/openmmlab'
+                    'description': '目标检测工具箱'
                 },
             ]
         },
-    ]
+    ],
+    # Specify the language of shared menu
+    'menu_lang':
+    'cn',
 }
 
+language = 'zh_CN'
+
+master_doc = 'index'
+
 # 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".