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v0.1.0: LightGlue-ONNX
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@fabio-sim fabio-sim released this 04 Jul 11:31
· 63 commits to main since this release
v0.1.0
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LightGlue-ONNX Models

This release provides exported ONNX models of the DISK, SuperPoint (feature extractors), and LightGlue (keypoint matcher) models. Both standalone models and end-to-end pipelines (*_end2end.onnx) are provided.

Individual Models

  • disk.onnx: DISK feature extractor.
  • disk_{N}.onnx: DISK feature extractor with max_num_keypoints=N.
  • disk_lightglue.onnx: LightGlue model trained on DISK features.
  • superpoint.onnx: SuperPoint feature extractor.
  • superpoint_{N}.onnx: SuperPoint feature extractor with max_num_keypoints=N.
  • superpoint_lightglue.onnx: LightGlue model trained on SuperPoint features.

End-to-end Pipelines

  • disk_lightglue_end2end.onnx: LightGlue model fused to DISK.
  • disk_{N}_lightglue_end2end.onnx: LightGlue model fused to DISK with max_num_keypoints=N.
  • superpoint_lightglue_end2end.onnx: LightGlue model fused to SuperPoint.
  • superpoint_{N}_lightglue_end2end.onnx: LightGlue model fused to SuperPoint with max_num_keypoints=N.

All models are dynamic with respect to image size. Note that a model exported with static input shapes may perform faster due to ONNX optimisations.

For reproducibility, the environment in which these models were exported is also provided (pip-freeze.txt). All models were exported with ONNX opset version 16.

Assets 21