Instructions to use ETH-CVG/lightglue_superpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ETH-CVG/lightglue_superpoint with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("ETH-CVG/lightglue_superpoint") model = AutoModelForKeypointMatching.from_pretrained("ETH-CVG/lightglue_superpoint") - Notebooks
- Google Colab
- Kaggle
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library_name: transformers
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license: other
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pipeline_tag: keypoint-detection
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# LightGlue
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library_name: transformers
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license: other
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pipeline_tag: keypoint-detection
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tags:
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- keypoint-matching
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---
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# LightGlue
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