LibreDepthAnythingV2b Depth
Depth Anything V2 ViT-B encoder (97M params) + DPT head, repackaged for LibreYOLO's 'depth' task.
Source du modèle
- Type
- Other
- Taille du fichier
- 372 MB
- Version
- vLibre Depth Anything V2b depth
- Mis à jour
- 10 oct. 2026
- Source
- Hugging Face
Description de la source
LibreDepthAnythingV2b-depth
Depth Anything V2 ViT-B encoder (97M params) + DPT head, repackaged for LibreYOLO's 'depth' task.
Non-commercial use only. These weights are CC BY-NC 4.0. The Small encoder (LibreDepthAnythingV2s-depth) is Apache-2.0 and has no commercial restriction.
Source
Derived from DepthAnything/Depth-Anything-V2
at commit 03876f8651c73a60fe4c2c48294e09fcb6838fcf.
Copyright (c) 2024 Depth Anything V2 authors (TikTok / ByteDance).
Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).
The ViT-B encoder is a DINOv2 backbone from facebookresearch/dinov2. Copyright (c) Meta Platforms, Inc. and affiliates. Licensed under the Apache License, Version 2.0.
Modifications
State-dict key remapping only. Learned parameters are unchanged.
See weights/convert_depth_anything_v2_weights.py in the
LibreYOLO source repository.
Usage
from libreyolo import LibreYOLO
model = LibreYOLO("LibreYOLO/LibreDepthAnythingV2b-depth")
results = model.predict("image.jpg")
depth_map = results[0].depth_map # DepthMap(shape=(H, W), higher = closer)
License
Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0).
See the LICENSE and NOTICE files in this repository.
Commercial use is not permitted.
Sources
1 source
Sources
1 sourceVérifié 10 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactExtraits de sources
2 extraits
Extraits de sources
2 extraits--- license: cc-by-nc-4.0 library_name: libreyolo tags: - depth-estimation - depth-anything --- # LibreDepthAnythingV2b-depth Depth Anything V2 ViT-B encoder (97M params) + DPT head, repackaged for LibreYOLO's 'depth' task. > **Non-commercial use only.** These weights are CC BY-NC 4.0. The Small encoder > ([LibreDepthAnythingV2s-depth](https://huggingface.co/LibreYOLO/LibreDepthAnythingV2s-depth)) > is Apache-2.0 and has no commercial restriction. ## Source Derived from [DepthAnything/Depth-Anything-V2](https://github.com/DepthAnything/Depth-Anything-V2) at commit `03876f8651c73a60fe4c2c48294e09fcb6838fcf`. Copyright (c) 2024 Depth Anything V2 authors (TikTok / ByteDance). Licensed under the Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0). The ViT-B encoder is a DINOv2 backbone from [facebookresearch/dinov2](https://github.com/facebookresearch/dinov2). Copyright (c) Meta Platforms, Inc. and affiliates. Licensed under the Apache License, Version 2.0. ## Modifications State-dict key remapping only. Learned parameters are unchanged. See `weights/convert_depth_anything_v2_weights.py` in the [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo). ## Usage ```python from libreyolo import LibreYOLO model = LibreYOLO("LibreYOLO/LibreDepthAnythingV2b-depth") results = model.predict("image.jpg") depth_map = results[0].depth_map # DepthMap(shape=(H, W), higher = closer) ``` ## License Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0). See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in this repository. **Commercial use is not permitted.**
Source context: 0 downloads · 0 likes · Pipeline depth-estimation · Library libreyolo · Repo LibreYOLO/LibreDepthAnythingV2b-depth
