Update README.md

README.md

@@ -51,6 +51,7 @@ class_queries_logits = outputs.class_queries_logits
 masks_queries_logits = outputs.masks_queries_logits
 
 # you can pass them to feature_extractor for postprocessing
+# we refer to the demo notebooks for visualization (see "Resources" section in the MaskFormer docs)
 predicted_semantic_map = feature_extractor.post_process_semantic_segmentation(outputs, target_sizes=[image.size[::-1]])[0]
 ```