修改了transforms.py中inference_transform的bug: 在训练的eval阶段没有把png图片转化为np.ndarray

src/models/ocr_model/utils/transforms.py

@@ -4,7 +4,7 @@ import numpy as np
 import cv2
 
 from torchvision.transforms import v2
-from typing import List
+from typing import List, Union
 from PIL import Image
 from collections import Counter
 
@@ -190,8 +190,9 @@ def train_transform(images: List[Image.Image]) -> List[torch.Tensor]:
     return images
 
 
-def inference_transform(images: List[np.ndarray]) -> List[torch.Tensor]:
+def inference_transform(images: List[Union[np.ndarray, Image.Image]]) -> List[torch.Tensor]:
     assert IMG_CHANNELS == 1 , "Only support grayscale images for now"
+    images = [np.array(img.convert('RGB')) if isinstance(img, Image.Image) else img for img in images]
     # 裁剪掉白边
     images = [trim_white_border(image) for image in images]
     # general transform pipeline