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
Can it be used as image to image search ?
#3
by nezwork123 - opened
Im wondering it this can be used for image to image search?
Hey @nezwork123 , not sure if it's the best model for that. For image search, it is better to use models with global descriptors, trained specifically for image retrieval
stevenbucaille changed discussion status to closed