revert eval mode (#9843)

* revert eval mode

* update hgnet config

configs/rec/PP-OCRv4/ch_PP-OCRv4_rec.yml

@@ -121,13 +121,9 @@ Eval:
         img_mode: BGR
         channel_first: false
     - MultiLabelEncode:
-        max_text_length: 100
-        character_dict_path: ppocr/utils/ppocr_keys_v1.txt
-        use_space_char: True
         gtc_encode: NRTRLabelEncode
     - RecResizeImg:
         image_shape: [3, 48, 320]
-        eval_mode: True
     - KeepKeys:
         keep_keys:
         - image
@@ -138,5 +134,5 @@ Eval:
   loader:
     shuffle: false
     drop_last: false
-    batch_size_per_card: 1
+    batch_size_per_card: 128
     num_workers: 4

configs/rec/PP-OCRv4/ch_PP-OCRv4_rec_hgnet.yml

@@ -75,6 +75,7 @@ Train:
     name: MultiScaleDataSet
     ds_width: false
     data_dir: ./train_data/
+    ext_op_transform_idx: 1
     label_file_list:
     - ./train_data/train_list.txt
     transforms:
@@ -99,16 +100,15 @@ Train:
   sampler:
     name: MultiScaleSampler
     scales: [[320, 32], [320, 48], [320, 64]]
-    # divide_factor: to ensure the width and height dimensions can be devided by downsampling multiple
     first_bs: &bs 128
     fix_bs: false
     divided_factor: [8, 16] # w, h
     is_training: True
   loader:
     shuffle: true
-    batch_size_per_card: 128
+    batch_size_per_card: *bs
     drop_last: true
-    num_workers: 4
+    num_workers: 8
 Eval:
   dataset:
     name: SimpleDataSet
@@ -120,13 +120,9 @@ Eval:
         img_mode: BGR
         channel_first: false
     - MultiLabelEncode:
-        max_text_length: 100
-        character_dict_path: ppocr/utils/ppocr_keys_v1.txt
-        use_space_char: True
         gtc_encode: NRTRLabelEncode
     - RecResizeImg:
         image_shape: [3, 48, 320]
-        eval_mode: True
     - KeepKeys:
         keep_keys:
         - image

ppocr/data/imaug/__init__.py

@@ -73,7 +73,7 @@ def create_operators(op_param_list, global_config=None):
                           dict) and len(operator) == 1, "yaml format error"
         op_name = list(operator)[0]
         param = {} if operator[op_name] is None else operator[op_name]
-        if global_config is not None and "max_text_length" not in param:
+        if global_config is not None:
             param.update(global_config)
         op = eval(op_name)(**param)
         ops.append(op)