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LibreDepthAnythingV2b Depth

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

ArtOtherVersionLibre Depth Anything V2b depthCBewertung

Modellquelle

Art
Other
Dateigröße
372 MB
Version
vLibre Depth Anything V2b depth
Aktualisiert
10. Okt. 2026
Quelle
Hugging Face

Quellenbeschreibung

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.

Quellen

1 Quelle
Hugging FacePrimärVersion f73fff2e1f045737d78d71f5bef079ebbea1fa37
huggingface.co/LibreYOLO/LibreDepthAnythingV2b-depth/tree/f73fff2e1f045737d78d71f5bef079ebbea1fa37

Verifiziert 10. Okt.

Modellartefakte

1 Artefakt

LibreDepthAnythingV2b-depth.pt

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

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Quellenauszüge

2 Auszüge

--- 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