format configs with yapf (open-mmlab#2023)

Author: hellock

.isort.cfg

@@ -3,6 +3,6 @@ line_length = 79
 multi_line_output = 0
 known_standard_library = setuptools
 known_first_party = mmdet
-known_third_party = Cython,albumentations,asynctest,cv2,imagecorruptions,matplotlib,mmcv,numpy,pycocotools,robustness_eval,roi_align,roi_pool,seaborn,six,terminaltables,torch,torchvision
+known_third_party = Cython,asynctest,cv2,matplotlib,mmcv,numpy,pycocotools,robustness_eval,roi_align,roi_pool,seaborn,six,terminaltables,torch,torchvision
 no_lines_before = STDLIB,LOCALFOLDER
 default_section = THIRDPARTY

.travis.yml

@@ -31,7 +31,7 @@ install:
 before_script:
   - flake8 .
   - isort -rc --check-only --diff mmdet/ tools/ tests/
-  - yapf -r -d --style .style.yapf mmdet/ tools/ tests/
+  - yapf -r -d --style .style.yapf mmdet/ tools/ tests/ configs/
 
 script:
   - python setup.py check -m -s

configs/dcn/cascade_mask_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -10,8 +10,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCN', deformable_groups=1, fallback_on_stride=False),
+        dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/dcn/cascade_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -10,8 +10,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCN', deformable_groups=1, fallback_on_stride=False),
+        dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/dcn/faster_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -9,8 +9,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCN', deformable_groups=1, fallback_on_stride=False),
+        dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/dcn/faster_rcnn_dconv_c3-c5_x101_32x4d_fpn_1x.py

@@ -11,10 +11,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCN',
-            deformable_groups=1,
-            fallback_on_stride=False),
+        dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/dcn/faster_rcnn_mdconv_c3-c5_group4_r50_fpn_1x.py

@@ -9,8 +9,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCNv2', deformable_groups=4, fallback_on_stride=False),
+        dcn=dict(type='DCNv2', deformable_groups=4, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/dcn/faster_rcnn_mdconv_c3-c5_r50_fpn_1x.py

@@ -9,8 +9,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCNv2', deformable_groups=1, fallback_on_stride=False),
+        dcn=dict(type='DCNv2', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/dcn/mask_rcnn_dconv_c3-c5_r50_fpn_1x.py

@@ -9,8 +9,7 @@
         out_indices=(0, 1, 2, 3),
         frozen_stages=1,
         style='pytorch',
-        dcn=dict(
-            type='DCN', deformable_groups=1, fallback_on_stride=False),
+        dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True)),
     neck=dict(
         type='FPN',

configs/empirical_attention/faster_rcnn_r50_fpn_attention_0010_dcn_1x.py

@@ -12,8 +12,7 @@
         gen_attention=dict(
             spatial_range=-1, num_heads=8, attention_type='0010', kv_stride=2),
         stage_with_gen_attention=[[], [], [0, 1, 2, 3, 4, 5], [0, 1, 2]],
-        dcn=dict(
-            type='DCN', deformable_groups=1, fallback_on_stride=False),
+        dcn=dict(type='DCN', deformable_groups=1, fallback_on_stride=False),
         stage_with_dcn=(False, True, True, True),
     ),
     neck=dict(