fix some configs

ppcls/configs/ImageNet/CSPNet/CSPDarkNet53.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 256, 256]
   save_inference_dir: ./inference
   # training model under @to_static
   to_static: False

ppcls/configs/ImageNet/DarkNet/DarkNet53.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 256, 256]
   save_inference_dir: ./inference
 
 # model architecture
@@ -53,7 +53,7 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - RandCropImage:
-            size: 224
+            size: 256
         - RandFlipImage:
             flip_code: 1
         - NormalizeImage:
@@ -84,9 +84,9 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - ResizeImage:
-            resize_short: 256
+            resize_short: 292
         - CropImage:
-            size: 224
+            size: 256
         - NormalizeImage:
             scale: 1.0/255.0
             mean: [0.485, 0.456, 0.406]
@@ -109,9 +109,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 292
     - CropImage:
-        size: 224
+        size: 256
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB1.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 240, 240]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 272
     - CropImage:
-        size: 224
+        size: 240
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB2.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 260, 260]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 292
     - CropImage:
-        size: 224
+        size: 260
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB3.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 300, 300]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 332
     - CropImage:
-        size: 224
+        size: 300
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB4.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 380, 380]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 412
     - CropImage:
-        size: 224
+        size: 380
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB5.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 456, 456]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 448
     - CropImage:
-        size: 224
+        size: 456
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB6.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 528, 528]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 560
     - CropImage:
-        size: 224
+        size: 528
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/EfficientNet/EfficientNetB7.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 600, 600]
   save_inference_dir: ./inference
 
 # model architecture
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 632
     - CropImage:
-        size: 224
+        size: 600
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]

ppcls/configs/ImageNet/ResNeSt/ResNeSt101.yaml

@@ -11,7 +11,7 @@ Global:
   print_batch_step: 10
   use_visualdl: False
   # used for static mode and model export
-  image_shape: [3, 224, 224]
+  image_shape: [3, 256, 256]
   save_inference_dir: ./inference
 
 # model architecture
@@ -53,7 +53,7 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - RandCropImage:
-            size: 224
+            size: 256
         - RandFlipImage:
             flip_code: 1
         - AutoAugment:
@@ -85,9 +85,9 @@ DataLoader:
             to_rgb: True
             channel_first: False
         - ResizeImage:
-            resize_short: 256
+            resize_short: 288
         - CropImage:
-            size: 224
+            size: 256
         - NormalizeImage:
             scale: 1.0/255.0
             mean: [0.485, 0.456, 0.406]
@@ -110,9 +110,9 @@ Infer:
         to_rgb: True
         channel_first: False
     - ResizeImage:
-        resize_short: 256
+        resize_short: 288
     - CropImage:
-        size: 224
+        size: 256
     - NormalizeImage:
         scale: 1.0/255.0
         mean: [0.485, 0.456, 0.406]