fix

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

@@ -32,7 +32,7 @@ NetWorks:
       model_name: large
       disable_se: true
     Neck:
-      name: CAPAN
+      name: CAFPN
       out_channels: 96
       shortcut: True
     Head:
@@ -48,7 +48,7 @@ NetWorks:
       model_name: large
       disable_se: true
     Neck:
-      name: CAPAN
+      name: CAFPN
       out_channels: 96
       shortcut: True
     Head:

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

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

ppocr/modeling/heads/det_db_head.py

@@ -37,8 +37,8 @@ class Head(nn.Layer):
         self.conv1 = nn.Conv2D(
             in_channels=in_channels,
             out_channels=in_channels // 4,
-            kernel_size=kernel_size[0],
-            padding=int(kernel_size[0] // 2),
+            kernel_size=kernel_list[0],
+            padding=int(kernel_list[0] // 2),
             weight_attr=ParamAttr(),
             bias_attr=False)
         self.conv_bn1 = nn.BatchNorm(
@@ -51,7 +51,7 @@ class Head(nn.Layer):
         self.conv2 = nn.Conv2DTranspose(
             in_channels=in_channels // 4,
             out_channels=in_channels // 4,
-            kernel_size=kernel_size[1],
+            kernel_size=kernel_list[1],
             stride=2,
             weight_attr=ParamAttr(
                 initializer=paddle.nn.initializer.KaimingUniform()),
@@ -66,7 +66,7 @@ class Head(nn.Layer):
         self.conv3 = nn.Conv2DTranspose(
             in_channels=in_channels // 4,
             out_channels=1,
-            kernel_size=kernel_size[2],
+            kernel_size=kernel_list[2],
             stride=2,
             weight_attr=ParamAttr(
                 initializer=paddle.nn.initializer.KaimingUniform()),