small typo

Fix a small typo in example script

README.md

@@ -49,19 +49,19 @@ model = OneFormerForUniversalSegmentation.from_pretrained("shi-labs/oneformer_ad
 semantic_inputs = processor(images=image, task_inputs=["semantic"], return_tensors="pt")
 semantic_outputs = model(**semantic_inputs)
 # pass through image_processor for postprocessing
-predicted_semantic_map = processor.post_process_semantic_segmentation(outputs, target_sizes=[image.size[::-1]])[0]
+predicted_semantic_map = processor.post_process_semantic_segmentation(semantic_outputs, target_sizes=[image.size[::-1]])[0]
 
 # Instance Segmentation
 instance_inputs = processor(images=image, task_inputs=["instance"], return_tensors="pt")
 instance_outputs = model(**instance_inputs)
 # pass through image_processor for postprocessing
-predicted_instance_map = processor.post_process_instance_segmentation(outputs, target_sizes=[image.size[::-1]])[0]["segmentation"]
+predicted_instance_map = processor.post_process_instance_segmentation(instance_outputs, target_sizes=[image.size[::-1]])[0]["segmentation"]
 
 # Panoptic Segmentation
 panoptic_inputs = processor(images=image, task_inputs=["panoptic"], return_tensors="pt")
 panoptic_outputs = model(**panoptic_inputs)
 # pass through image_processor for postprocessing
-predicted_semantic_map = processor.post_process_panoptic_segmentation(outputs, target_sizes=[image.size[::-1]])[0]["segmentation"]
+predicted_semantic_map = processor.post_process_panoptic_segmentation(panoptic_outputs, target_sizes=[image.size[::-1]])[0]["segmentation"]
 ```
 
 For more examples, please refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/oneformer).