| license: mit | |
| library_name: libreyolo | |
| tags: | |
| - image-to-image | |
| - surface-normals | |
| - moge | |
| # LibreMoGe2s-normal | |
| MoGe-2 ViT-S/14 surface-normal estimator, repackaged in LibreYOLO checkpoint format. | |
| ## Source | |
| Derived from [Ruicheng/moge-2-vits-normal](https://huggingface.co/Ruicheng/moge-2-vits-normal) | |
| at revision `679230677b4d282c6f304189a93e98e14f085902`, 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("LibreMoGe2s-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. | |