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@@ -31,6 +31,10 @@ to repeatedly detect a much richer set of interest points than the initial pre-a
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  traditional corner detector. The final system gives rise to state-of-the-art homography estimation results on HPatches
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  when compared to LIFT, SIFT and ORB.*
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  ## How to use
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  Here is a quick example of using the model to detect interest points in an image:
 
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  traditional corner detector. The final system gives rise to state-of-the-art homography estimation results on HPatches
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  when compared to LIFT, SIFT and ORB.*
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+ ## Demo notebook
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+ A demo notebook showcasing inference + visualization with SuperPoint can be found [here](https://github.com/NielsRogge/Transformers-Tutorials/blob/master/SuperPoint/Inference_with_SuperPoint_to_detect_interest_points_in_an_image.ipynb).
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  ## How to use
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  Here is a quick example of using the model to detect interest points in an image: