Instructions to use wardner/Depth-Anything-V3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- RKLLM
How to use wardner/Depth-Anything-V3 with RKLLM:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
|
Download README.md from wardner/Depth-Anything-V3: direct link, hf CLI and curl.
- Browser
- Download file 3.73 kB
-
https://huggingface.co/wardner/Depth-Anything-V3/resolve/main/README.md
- Command line
-
hf download hf://wardner/Depth-Anything-V3/README.md
-
curl -L -o README.md https://huggingface.co/wardner/Depth-Anything-V3/resolve/main/README.md
3.73 kB
| license: apache-2.0 | |
| library_name: rkllm | |
| tags: | |
| - rk182x | |
| - rockchip | |
| - rknpu | |
| - llm | |
| - qwen | |
| - edge-ai | |
| # Depth-Anything-V3 — [Depth]视觉深度信息v3 | |
| [English](README.md) | [简体中文](README_CN.md) | |
| ## 1. Overview | |
| 视觉深度信息v3,给定图像输出逐像素深度图与置信度(Depth Anything V3 单目深度估计) | |
| This repository ships the RK182x deployment artifacts (RKNN graphs + | |
| weights) **together with the wdnwebui worker manifest** | |
| (`DepthAnythingV3.json`). | |
| | Item | Value | | |
| | --- | --- | | |
| | Model ID | `wardner/Depth-Anything-V3` | | |
| | Display name | Depth-Anything-V3 | | |
| | Model type | LLM | | |
| | Compute target | RK182x | | |
| | Host platform | RK3588 | | |
| | Runtime | RKLLM + RKNN | | |
| | Capabilities | `swcap_vision_depth` | | |
| | Worker factory | `depth_anything_v3` | | |
| | Memory estimate | ~3000 MB | | |
| | Init time | ~30 s | | |
| | Cards required | 1 | | |
| | Total weight size | 1.04 GB | | |
| ## 2. Files | |
| | Path | Description | Size | | |
| | --- | --- | --- | | |
| | `global_DepthAnythingV3.280x280.1view.1828.rknn` | RKNN graph (RK182x compute card, 1.82 TOPS generation) | 2.7 MB | | |
| | `global_DepthAnythingV3.280x280.1view.weight` | Weights paired with the RKNN graph above | 552.7 MB | | |
| | `head_DepthAnythingV3.280x280.1view.1828.rknn` | RKNN graph (RK182x compute card, 1.82 TOPS generation) | 1.8 MB | | |
| | `head_DepthAnythingV3.280x280.1view.weight` | Weights paired with the RKNN graph above | 188.0 MB | | |
| | `local_DepthAnythingV3.280x280.1view.1828.rknn` | RKNN graph (RK182x compute card, 1.82 TOPS generation) | 1.7 MB | | |
| | `local_DepthAnythingV3.280x280.1view.weight` | Weights paired with the RKNN graph above | 316.6 MB | | |
| | `DepthAnythingV3.json` | **worker manifest** — deliberately plain text | 1943 B | | |
| > `DepthAnythingV3.json` is **deliberately not** in Git LFS. It is the | |
| > manual of this distribution unit and must stay plain text so it can be | |
| > diffed, reviewed and previewed on the Hub. | |
| ## 3. Download | |
| ```bash | |
| hf download wardner/Depth-Anything-V3 --local-dir ./Depth-Anything-V3 | |
| ``` | |
| Or with git (requires Git LFS): | |
| ```bash | |
| git clone https://huggingface.co/wardner/Depth-Anything-V3 | |
| ``` | |
| If `huggingface.co` is unreachable from your network (DNS interception / | |
| blocked access), point the client at a mirror instead: | |
| ```bash | |
| HF_ENDPOINT=https://hf-mirror.com hf download wardner/Depth-Anything-V3 \ | |
| --local-dir ./Depth-Anything-V3 | |
| ``` | |
| Note: with `git clone` the weights are Git LFS **pointers** until | |
| `git lfs pull` completes. `hf download` fetches the real files directly, and | |
| does not create a `.git` directory — neither is required for the model to | |
| work; see §4. | |
| ## 4. Installation (wdnwebui) | |
| Clone the repository into the model root so the folder holds **both** the | |
| weights and the worker manifest: | |
| ```bash | |
| git clone https://huggingface.co/wardner/Depth-Anything-V3 /userdata/models/Depth-Anything-V3 | |
| ``` | |
| Then open the web UI → **Compute** → the card appears under "local compute" | |
| (the backend rescans the model root every ~2 s, **no restart needed**) → | |
| click "enable". | |
| The directory name does not have to match the model name: the SDK follows | |
| "the folder the manifest was found in", located through the | |
| `WDNAI_DEPTH_ANYTHING_V3_DIR` environment variable declared in the manifest. | |
| ## 5. SHA-256 verification | |
| ```bash | |
| cd ./Depth-Anything-V3 | |
| sha256sum -c SHA256SUMS | |
| ``` | |
| All entries must report `OK` before deployment. | |
| ## 6. Caveats and limits | |
| See the `notes` field of `DepthAnythingV3.json` — it records the | |
| per-model specifics (sampling defaults, capability layout, side effects). | |
| ## 7. License | |
| The upstream model is released under the Apache License 2.0. The files here | |
| are RKNN-converted derivatives, not unmodified upstream weights. See | |
| [LICENSE](LICENSE) and [NOTICE](NOTICE). | |