Update app.py

app.py

@@ -11,6 +11,7 @@ import torch.backends.cudnn as cudnn
 from models.experimental import attempt_load
 import keras_ocr
 import matplotlib.pyplot as plt
+from numpy import asarray
 
 from utils.datasets import LoadStreams, LoadImages
 from utils.general import check_img_size, check_requirements, check_imshow, non_max_suppression, apply_classifier, \
@@ -160,7 +161,7 @@ def detect_Custom(img,model,boundedImage):
 
     print(f'Done. ({time.time() - t0:.3f}s)')
 
-    return Image.fromarray(im0[:,:,::-1]), numpy.asarray(images[0])
+    return Image.fromarray(im0[:,:,::-1]), asarray(images[0])