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:
# pip install -U transformers accelerate # 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
Download preprocessor_config.json from zju-community/efficientloftr: direct link, hf CLI and curl.
- Browser
- Download file 239 Bytes
-
https://huggingface.co/zju-community/efficientloftr/resolve/refs%2Fpr%2F1/preprocessor_config.json
- Command line
-
hf download hf://zju-community/efficientloftr@refs/pr/1/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/zju-community/efficientloftr/resolve/refs%2Fpr%2F1/preprocessor_config.json
239 Bytes
| { | |
| "do_grayscale": true, | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_processor_type": "EfficientLoFTRImageProcessor", | |
| "resample": 2, | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 480, | |
| "width": 640 | |
| } | |
| } | |