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@@ -59,7 +59,7 @@ class_queries_logits = outputs.class_queries_logits
 masks_queries_logits = outputs.masks_queries_logits
 
 # you can pass them to processor for postprocessing
-result = processor.image_processor.post_process_video_instance_segmentation(outputs, target_sizes=[tuple(video.shape[1:3])])[0]
+result = image_processor.post_process_video_instance_segmentation(outputs, target_sizes=[tuple(video.shape[1:3])])[0]
 # we refer to the demo notebooks for visualization (see "Resources" section in the Mask2Former docs)
 predicted_video_instance_map = result["segmentation"]
 ```