Update app.py

app.py

@@ -13,7 +13,7 @@ state_dict = torch.load('fasterRCNNKangaroo.pth', map_location=torch.device('cpu
 model.load_state_dict(state_dict)
 size = 384
 
-   infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])
+infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])
 def predict(img):
    img = PILImage.create(img)
    pred_dict = models.torchvision.faster_rcnn.end2end_detect(img, infer_tfms, model.to("cpu"), class_map=class_map, detection_threshold=0.5)