Fix paper regex (open-mmlab#354)

* Fix paper regex

Signed-off-by: lizz <lizz@sensetime.com>

* Fix lint

Signed-off-by: lizz <lizz@sensetime.com>

docs/stat.py

@@ -16,7 +16,7 @@
 
     # count papers
     papers = set(x.lower().strip()
-                 for x in re.findall(r'\btitle={(.*)}', content))
+                 for x in re.findall(r'\btitle\s*=\s*{(.*)}', content))
     paperlist = '\n'.join(sorted('    - ' + x for x in papers))
     # count configs
     configs = set(x.lower().strip()

mmpose/models/backbones/mspn.py

@@ -382,9 +382,9 @@ def forward(self, img):
 
 @BACKBONES.register_module()
 class MSPN(BaseBackbone):
-    """MSPN backbone.
-        Paper ref: Li et al. "Rethinking on Multi-Stage Networks
-              for Human Pose Estimation" (CVPR 2020).
+    """MSPN backbone. Paper ref: Li et al. "Rethinking on Multi-Stage Networks
+    for Human Pose Estimation" (CVPR 2020).
+
     Args:
         unit_channels (int): Number of Channels in an upsample unit.
             Default: 256
@@ -398,6 +398,7 @@ class MSPN(BaseBackbone):
             Default: dict(type='BN')
         res_top_channels (int): Number of channels of feature from ResNetTop.
             Default: 64.
+
     Example:
         >>> from mmpose.models import MSPN
         >>> import torch

mmpose/models/backbones/rsn.py

@@ -509,9 +509,10 @@ def forward(self, img):
 
 @BACKBONES.register_module()
 class RSN(BaseBackbone):
-    """Residual Steps Network backbone.
-              Paper ref: Cai et al. "Learning Delicate Local Representations
-              for Multi-Person Pose Estimation" (ECCV 2020).
+    """Residual Steps Network backbone. Paper ref: Cai et al. "Learning
+    Delicate Local Representations for Multi-Person Pose Estimation" (ECCV
+    2020).
+
     Args:
         unit_channels (int): Number of Channels in an upsample unit.
             Default: 256