Mirror MoGe-2 ViT-L surface-normal weights (MIT)

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LibreMoGe2l-normal.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:342c13b7028a2e87d164ee9647ad4f34d822dcb73221004c9f25d0458e17580a
+size 1277824976

NOTICE

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+LibreMoGe2 weights
+------------------
+
+This product contains weights derived from MoGe-2
+(https://github.com/microsoft/MoGe).
+Copyright (c) Microsoft Corporation.
+Licensed under the MIT License.
+
+The DINOv2 encoder these weights build on is separately licensed under the
+Apache License, Version 2.0, by Meta AI
+(https://github.com/facebookresearch/dinov2).

README.md

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+---
+license: mit
+library_name: libreyolo
+tags:
+  - image-to-image
+  - surface-normals
+  - moge
+---
+
+# LibreMoGe2l-normal
+
+MoGe-2 ViT-L/14 surface-normal estimator, repackaged in LibreYOLO checkpoint format.
+
+## Source
+
+Derived from [Ruicheng/moge-2-vitl-normal](https://huggingface.co/Ruicheng/moge-2-vitl-normal)
+at revision `b135031bae30b5ac2ae141a0e68717795ce38340`, the exact commit LibreYOLO pins.
+Copyright (c) Microsoft Corporation. Licensed under the MIT License.
+
+The DINOv2 encoder MoGe-2 builds on is separately licensed Apache-2.0 by
+Meta AI.
+
+## Modifications
+
+State-dict key remapping only. Learned parameters are unchanged.
+See `weights/convert_moge2_weights.py` in the
+[LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).
+
+## Usage
+
+```python
+from libreyolo import LibreYOLO
+
+model = LibreYOLO("LibreMoGe2l-normal.pt")
+result = model.predict("image.jpg")[0]
+normals = result.normals
+```
+
+## License
+
+MIT License. See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in
+this repository.