| ---
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| license: cc-by-nc-4.0
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| library_name: libreyolo
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| tags:
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| - depth-estimation
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| - depth-anything
|
| ---
|
|
|
| # LibreDepthAnythingV2b-depth
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|
|
| Depth Anything V2 ViT-B encoder (97M params) + DPT head, repackaged for LibreYOLO's 'depth' task.
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|
|
| > **Non-commercial use only.** These weights are CC BY-NC 4.0. The Small encoder
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| > ([LibreDepthAnythingV2s-depth](https://huggingface.co/LibreYOLO/LibreDepthAnythingV2s-depth))
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| > is Apache-2.0 and has no commercial restriction.
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|
|
| ## Source
|
|
|
| Derived from [DepthAnything/Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2)
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| at commit `03876f8651c73a60fe4c2c48294e09fcb6838fcf`.
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| Copyright (c) 2024 Depth Anything V2 authors (TikTok / ByteDance).
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| Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
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|
|
| The ViT-B encoder is a DINOv2 backbone from [facebookresearch/dinov2](https://github.com/facebookresearch/dinov2).
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| Copyright (c) Meta Platforms, Inc. and affiliates. Licensed under the Apache License, Version 2.0.
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|
|
| ## Modifications
|
|
|
| State-dict key remapping only. Learned parameters are unchanged.
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| See `weights/convert_depth_anything_v2_weights.py` in the
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| [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo).
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|
|
| ## Usage
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|
|
| ```python
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| from libreyolo import LibreYOLO
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|
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| model = LibreYOLO("LibreYOLO/LibreDepthAnythingV2b-depth")
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| results = model.predict("image.jpg")
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| depth_map = results[0].depth_map # DepthMap(shape=(H, W), higher = closer)
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| ```
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|
|
| ## License
|
|
|
| Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
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| See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in this repository.
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| **Commercial use is not permitted.**
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|
|
