Instructions to use zju-community/efficientloftr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zju-community/efficientloftr with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("zju-community/efficientloftr") model = AutoModelForKeypointMatching.from_pretrained("zju-community/efficientloftr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 239 Bytes
0631093 | 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": "EfficientLoFTRImageProcessor",
"resample": 2,
"rescale_factor": 0.00392156862745098,
"size": {
"height": 480,
"width": 640
}
}
|