Keypoint Detection
Transformers
Safetensors
LightGlue
keypoint-matching
model_hub_mixin
pytorch_model_hub_mixin
Instructions to use ETH-CVG/lightglue_disk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ETH-CVG/lightglue_disk with Transformers:
# Load model directly from transformers import AutoImageProcessor, AutoModelForKeypointMatching processor = AutoImageProcessor.from_pretrained("ETH-CVG/lightglue_disk") model = AutoModelForKeypointMatching.from_pretrained("ETH-CVG/lightglue_disk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Add image processor
Browse files- preprocessor_config.json +2 -2
preprocessor_config.json
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@@ -6,7 +6,7 @@
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height":
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"width":
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}
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}
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"resample": 2,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 480,
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"width": 640
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}
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}
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