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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 234 Bytes
458b788 | 1 2 3 4 5 6 7 8 9 10 11 12 13 | {
"do_grayscale": true,
"do_rescale": true,
"do_resize": true,
"image_processor_type": "LightGlueImageProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 480,
"width": 640
}
}
|