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>>> masks_queries_logits = outputs.masks_queries_logits
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>>> # you can pass them to feature_extractor for postprocessing
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>>> output = feature_extractor.post_process_semantic_segmentation(outputs)
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>>> predicted_semantic_map = feature_extractor.post_process_semantic_segmentation(outputs)[0]
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```
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For more code examples, we refer to the [documentation](https://huggingface.co/docs/transformers/master/en/model_doc/maskformer).
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