Update app.py

app.py

@@ -65,13 +65,13 @@ carTransforms = transforms.Compose([transforms.Resize(224),
                                     transforms.Normalize(mean=MEAN, std=STD)])
 
 def classifyCar(im):
-  im = Image.fromarray(im.astype('uint8'), 'RGB')
-  im = transforms.ToTensor(im)
+  #im = Image.fromarray(im.astype('uint8'), 'RGB')
+  im = cv2.imread(im)
   try:
     with torch.no_grad():
       outputs = predictor(im)
   except:
-    return im, {"error1": im.shape}
+    return im, {"error1": 0.5}
   try:
       v = Visualizer(im[:, :, ::-1], MetadataCatalog.get(cfg.DATASETS.TRAIN[0]), scale=1.2)
   except Exception as err: