fix det

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

@@ -32,12 +32,12 @@ NetWorks:
       model_name: large
       disable_se: true
     Neck:
-      name: FEPAN
+      name: CAPAN
       out_channels: 96
+      shortcut: True
     Head:
       name: DBHead
       k: 50
-      kernel_size: [7, 2, 2]
   Student2:
     model_type: det
     algorithm: DB
@@ -48,12 +48,12 @@ NetWorks:
       model_name: large
       disable_se: true
     Neck:
-      name: FEPAN
+      name: CAPAN
       out_channels: 96
+      shortcut: True
     Head:
       name: DBHead
       k: 50
-      kernel_size: [7, 2, 2]
   Teacher:
     pretrained: ./inference/ch_ppocr_resnet50/student
     model_type: det
@@ -63,12 +63,11 @@ NetWorks:
       in_channels: 3
       layers: 50
     Neck:
-      name: DBFPN
+      name: FEPAN
       out_channels: 256
-      big_kernel: true
     Head:
       name: DBHead
-      big_kernel: true
+      kernel_list: [7,2,2]
       k: 50
     
 Loss:

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

@@ -28,12 +28,12 @@ Architecture:
     model_name: large
     disable_se: True
   Neck:
-    name: FEPAN
+    name: CAPAN
     out_channels: 96
+    shortcut: True
   Head:
     name: DBHead
     k: 50
-    kernel_size: [7, 2, 2]
 
 Loss:
   name: DBLoss

ppocr/modeling/necks/db_fpn.py

@@ -21,6 +21,8 @@ from paddle import nn
 import paddle.nn.functional as F
 from paddle import ParamAttr
 import os
+import sys
+
 __dir__ = os.path.dirname(os.path.abspath(__file__))
 sys.path.append(__dir__)
 sys.path.insert(0, os.path.abspath(os.path.join(__dir__, '../../..')))
@@ -138,11 +140,11 @@ class CALayer(nn.Layer):
 
 
 class CAFPN(nn.Layer):
-    def __init__(self, in_channels, out_channels, shortcut, **kwargs):
+    def __init__(self, in_channels, out_channels, shortcut=True, **kwargs):
         super(CAFPN, self).__init__()
-
-        self.ins_convs = []
-        self.inp_convs = []
+        self.out_channels = out_channels
+        self.ins_conv = []
+        self.inp_conv = []
 
         for i in range(len(in_channels)):
             self.ins_conv.append(
@@ -192,8 +194,8 @@ class FEPAN(nn.Layer):
         self.out_channels = out_channels
         weight_attr = paddle.nn.initializer.KaimingUniform()
 
-        self.ins_convs = []
-        self.inp_convs = []
+        self.ins_conv = []
+        self.inp_conv = []
         # pan head
         self.pan_head_conv = []
         self.pan_lat_conv = []