Update app.py

app.py

@@ -10,6 +10,7 @@ model.eval()
 preprocessor = MaskFormerFeatureExtractor.from_pretrained("facebook/maskformer-swin-tiny-ade")
 
 def visualize_instance_seg_mask(mask):
+    print(mask)
     image = np.zeros((mask.shape[0], mask.shape[1], 3))
     labels = np.unique(mask)
     label2color = {label: (random.randint(0, 1), random.randint(0, 255), random.randint(0, 255)) for label in labels}