fixed rec_img_aug 20220801

configs/rec/rec_r31_robustscanner.yml

@@ -66,7 +66,8 @@ Metric:
 Train:
   dataset:
     name: LMDBDataSet
-    data_dir: ./train_data/data_lmdb_release/training/
+    # data_dir: ./train_data/data_lmdb_release/training/
+    data_dir: I:/dataset/OCR/STR/evaluation/evaluation/CUTE80
     transforms:
       - DecodeImage: # load image
           img_mode: BGR
@@ -88,7 +89,8 @@ Train:
 Eval:
   dataset:
     name: LMDBDataSet
-    data_dir: ./train_data/data_lmdb_release/evaluation/
+    # data_dir: ./train_data/data_lmdb_release/evaluation/
+    data_dir: I:/dataset/OCR/STR/evaluation/evaluation/CUTE80
     transforms:
       - DecodeImage: # load image
           img_mode: BGR

ppocr/data/imaug/rec_img_aug.py

@@ -259,24 +259,6 @@ class PRENResizeImg(object):
         data['image'] = resized_img.astype(np.float32)
         return data
 
-<<<<<<< HEAD
-class RobustScannerRecResizeImg(object):
-    def __init__(self, image_shape, max_text_length, width_downsample_ratio=0.25, **kwargs):
-        self.image_shape = image_shape
-        self.width_downsample_ratio = width_downsample_ratio
-        self.max_text_length = max_text_length
-
-    def __call__(self, data):
-        img = data['image']
-        norm_img, resize_shape, pad_shape, valid_ratio = resize_norm_img_sar(
-            img, self.image_shape, self.width_downsample_ratio)
-        word_positons = np.array(range(0, self.max_text_length)).astype('int64')
-        data['image'] = norm_img
-        data['resized_shape'] = resize_shape
-        data['pad_shape'] = pad_shape
-        data['valid_ratio'] = valid_ratio
-        data['word_positons'] = word_positons
-=======
 class SPINRecResizeImg(object):
     def __init__(self,
                  image_shape,
@@ -319,7 +301,6 @@ class SPINRecResizeImg(object):
         img -= mean
         img *= stdinv
         data['image'] = img
->>>>>>> 1696b36bdb4152138ed5cb08a357df8fe03dc067
         return data
 
 class GrayRecResizeImg(object):
@@ -399,6 +380,23 @@ class SVTRRecResizeImg(object):
         data['valid_ratio'] = valid_ratio
         return data
 
+class RobustScannerRecResizeImg(object):
+    def __init__(self, image_shape, max_text_length, width_downsample_ratio=0.25, **kwargs):
+        self.image_shape = image_shape
+        self.width_downsample_ratio = width_downsample_ratio
+        self.max_text_length = max_text_length
+
+    def __call__(self, data):
+        img = data['image']
+        norm_img, resize_shape, pad_shape, valid_ratio = resize_norm_img_sar(
+            img, self.image_shape, self.width_downsample_ratio)
+        word_positons = np.array(range(0, self.max_text_length)).astype('int64')
+        data['image'] = norm_img
+        data['resized_shape'] = resize_shape
+        data['pad_shape'] = pad_shape
+        data['valid_ratio'] = valid_ratio
+        data['word_positons'] = word_positons
+        return data
 
 def resize_norm_img_sar(img, image_shape, width_downsample_ratio=0.25):
     imgC, imgH, imgW_min, imgW_max = image_shape