rename

configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_cml.yml

@@ -33,7 +33,7 @@ Architecture:
         model_name: large
         disable_se: true
       Neck:
-        name: CAFPN
+        name: RSEFPN
         out_channels: 96
         shortcut: True
       Head:
@@ -49,7 +49,7 @@ Architecture:
         model_name: large
         disable_se: true
       Neck:
-        name: CAFPN
+        name: RSEFPN
         out_channels: 96
         shortcut: True
       Head:
@@ -65,7 +65,7 @@ Architecture:
         in_channels: 3
         layers: 50
       Neck:
-        name: FEPAN
+        name: LKPAN
         out_channels: 256
       Head:
         name: DBHead

configs/det/ch_PP-OCRv3/ch_PP-OCRv3_det_student.yml

@@ -28,7 +28,7 @@ Architecture:
     model_name: large
     disable_se: True
   Neck:
-    name: CAFPN
+    name: RSEFPN
     out_channels: 96
     shortcut: True
   Head:

ppocr/modeling/necks/__init__.py

@@ -26,7 +26,7 @@ def build_neck(config):
     from .fce_fpn import FCEFPN
     from .pren_fpn import PRENFPN
     support_dict = [
-        'FPN', 'FCEFPN', 'FEPAN', 'DBFPN', 'CAFPN', 'EASTFPN', 'SASTFPN',
+        'FPN', 'FCEFPN', 'LKPAN', 'DBFPN', 'RSEFPN', 'EASTFPN', 'SASTFPN',
         'SequenceEncoder', 'PGFPN', 'TableFPN', 'PRENFPN'
     ]
 

ppocr/modeling/necks/db_fpn.py

@@ -190,9 +190,9 @@ class DBFPN(nn.Layer):
         return fuse
 
 
-class CALayer(nn.Layer):
+class RSELayer(nn.Layer):
     def __init__(self, in_channels, out_channels, kernel_size, shortcut=True):
-        super(CALayer, self).__init__()
+        super(RSELayer, self).__init__()
         weight_attr = paddle.nn.initializer.KaimingUniform()
         self.out_channels = out_channels
         self.in_conv = nn.Conv2D(
@@ -214,9 +214,9 @@ class CALayer(nn.Layer):
         return out
 
 
-class CAFPN(nn.Layer):
+class RSEFPN(nn.Layer):
     def __init__(self, in_channels, out_channels, shortcut=True, **kwargs):
-        super(CAFPN, self).__init__()
+        super(RSEFPN, self).__init__()
         self.out_channels = out_channels
         self.ins_conv = nn.LayerList()
         self.inp_conv = nn.LayerList()
@@ -263,9 +263,9 @@ class CAFPN(nn.Layer):
         return fuse
 
 
-class FEPAN(nn.Layer):
+class LKPAN(nn.Layer):
     def __init__(self, in_channels, out_channels, mode='large', **kwargs):
-        super(FEPAN, self).__init__()
+        super(LKPAN, self).__init__()
         self.out_channels = out_channels
         weight_attr = paddle.nn.initializer.KaimingUniform()