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LibreDepthAnythingV2b Depth

Depth Anything V2 ViT-B encoder (97M params) + DPT head, repackaged for LibreYOLO's 'depth' task.

TypeOtherVersionLibre Depth Anything V2b depthCClasse

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
Hugging FacePrincipalVersion f73fff2e1f045737d78d71f5bef079ebbea1fa37
huggingface.co/LibreYOLO/LibreDepthAnythingV2b-depth/tree/f73fff2e1f045737d78d71f5bef079ebbea1fa37

Vérifié 10 oct.

Artefacts du modèle

1 artefact

LibreDepthAnythingV2b-depth.pt

pt · 372 MB · SHA-256 c607634872c7…7b2c · Hugging Face

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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