Keypoint Detection
Transformers
Safetensors
LightGlue
keypoint-matching
model_hub_mixin
pytorch_model_hub_mixin
Instructions to use ETH-CVG/lightglue_disk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ETH-CVG/lightglue_disk with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("ETH-CVG/lightglue_disk") model = AutoModelForKeypointMatching.from_pretrained("ETH-CVG/lightglue_disk") - Notebooks
- Google Colab
- Kaggle
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README.md
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- **Developed by:** ETH Zurich - Computer Vision and Geometry Lab
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- **Model type:** Image Matching
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- **License:**
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### Model Sources
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- **Developed by:** ETH Zurich - Computer Vision and Geometry Lab
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- **Model type:** Image Matching
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- **License:** Apache 2.0
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### Model Sources
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