Update app.py

app.py

@@ -7,8 +7,8 @@ model= torch.load('fasterRCNNKangaroo_obligatorio.pth',map_location='cpu')
     
 # Definimos una función que se encarga de llevar a cabo las predicciones
 def predict(img):
-    img = img.point(range(128, 0, -1) * 3)
-    return img
+    #img = img.point(range(128, 0, -1) * 3)
+    return img.transpose(Image.FLIP_LEFT_RIGHT) 
     size = 384
     class_map = ClassMap(['kangaroo'])
     infer_tfms = tfms.A.Adapter([*tfms.A.resize_and_pad(size),tfms.A.Normalize()])