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")
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{ "do_grayscale": false, "do_rescale": true, "do_resize": true, "image_processor_type": "LightGlueImageProcessor", "resample": 2, "rescale_factor": 0.00392156862745098, "size": { "height": 480, "width": 640 } }
