| --- |
| license: apache-2.0 |
| library_name: libreyolo |
| pipeline_tag: depth-estimation |
| tags: |
| - depth-estimation |
| - video-depth |
| - video-depth-anything |
| --- |
| |
| # LibreVideoDepthAnythings-depth |
|
|
| Video Depth Anything Small (ViT-S DINOv2 encoder + temporal DPT head, 28.4M params), repackaged for LibreYOLO's `depth` task. Relative inverse depth (higher = closer), temporally consistent across the frames of a video. |
|
|
| ## Source |
|
|
| Converted from [depth-anything/Video-Depth-Anything-Small](https://huggingface.co/depth-anything/Video-Depth-Anything-Small) |
| at revision `256875362cff76724b920335dfb4b29dd611f66e` (`video_depth_anything_vits.pth`). |
| Code: [DepthAnything/Video-Depth-Anything](https://github.com/DepthAnything/Video-Depth-Anything) |
| at commit `4f5ae23172ba60fd7bc11ef671cca678842c7072` (Apache-2.0). |
| Copyright (2025) Bytedance Ltd. and/or its affiliates. |
| The weights are licensed under the Apache License, Version 2.0. |
|
|
| Chen, S., Guo, H., Zhu, S., Zhang, F., Huang, Z., Feng, J., and Kang, B. |
| "Video Depth Anything: Consistent Depth Estimation for Super-Long Videos." CVPR 2025. |
|
|
| ## Modifications |
|
|
| None to the learned parameters: the upstream state dict is wrapped in LibreYOLO |
| checkpoint metadata with unchanged keys and tensors. See |
| `weights/convert_video_depth_anything_weights.py` in the |
| [LibreYOLO source repository](https://github.com/LibreYOLO/libreyolo). |
|
|
| ## Usage |
|
|
| ```python |
| from libreyolo import LibreYOLO |
| |
| model = LibreYOLO("LibreVideoDepthAnythings-depth.pt") |
| results = model.predict("video.mp4") # one Results per frame, one shared relative scale |
| depth = results[0].depth_map # DepthMap (H, W), higher = closer |
| ``` |
|
|
| ## License |
|
|
| Apache License 2.0. |
| See the [`LICENSE`](./LICENSE) and [`NOTICE`](./NOTICE) files in this repository. |
|
|
