Keypoint Detection
Transformers
PyTorch
Safetensors
superpoint
feature-extraction
vision
image-matching
Instructions to use magic-leap-community/superpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use magic-leap-community/superpoint with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("magic-leap-community/superpoint") model = AutoModel.from_pretrained("magic-leap-community/superpoint", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download preprocessor_config.json from magic-leap-community/superpoint: direct link, hf CLI and curl.
- Browser
- Download file 194 Bytes
-
https://huggingface.co/magic-leap-community/superpoint/resolve/refs%2Fpr%2F4/preprocessor_config.json
- Command line
-
hf download hf://magic-leap-community/superpoint@refs/pr/4/preprocessor_config.json
-
curl -L -o preprocessor_config.json https://huggingface.co/magic-leap-community/superpoint/resolve/refs%2Fpr%2F4/preprocessor_config.json
194 Bytes
| { | |
| "do_rescale": true, | |
| "do_resize": true, | |
| "image_processor_type": "SuperPointImageProcessor", | |
| "rescale_factor": 0.00392156862745098, | |
| "size": { | |
| "height": 480, | |
| "width": 640 | |
| } | |
| } | |