Updates

1 files changed, 7 insertions, 7 deletions

diff --git a/text_recognizer/data/iam_lines.py b/text_recognizer/data/iam_lines.py
index 78bc8e1..9c78a22 100644
--- a/text_recognizer/data/iam_lines.py
+++ b/text_recognizer/data/iam_lines.py
@@ -13,7 +13,7 @@ from loguru import logger
 from PIL import Image, ImageFile, ImageOps
 import numpy as np
 from torch import Tensor
-from torchvision import transforms
+import torchvision.transforms as T
 from torchvision.transforms.functional import InterpolationMode
 
 from text_recognizer.data.base_dataset import (
@@ -208,7 +208,7 @@ def load_line_crops_and_labels(split: str, data_dirname: Path) -> Tuple[List, Li
     return crops, labels
 
 
-def get_transform(image_width: int, augment: bool = False) -> transforms.Compose:
+def get_transform(image_width: int, augment: bool = False) -> T.Compose:
     """Augment with brigthness, sligth rotation, slant, translation, scale, and Gaussian noise."""
 
     def embed_crop(
@@ -237,20 +237,20 @@ def get_transform(image_width: int, augment: bool = False) -> transforms.Compose
 
         return image
 
-    transfroms_list = [transforms.Lambda(embed_crop)]
+    transfroms_list = [T.Lambda(embed_crop)]
 
     if augment:
         transfroms_list += [
-            transforms.ColorJitter(brightness=(0.8, 1.6)),
-            transforms.RandomAffine(
+            T.ColorJitter(brightness=(0.8, 1.6)),
+            T.RandomAffine(
                 degrees=1,
                 shear=(-30, 20),
                 interpolation=InterpolationMode.BILINEAR,
                 fill=0,
             ),
         ]
-    transfroms_list.append(transforms.ToTensor())
-    return transforms.Compose(transfroms_list)
+    transfroms_list.append(T.ToTensor())
+    return T.Compose(transfroms_list)
 
 
 def generate_iam_lines() -> None: