# Depth Anything 3

> Usa a estimar profundidad con Depth Anything V3.

- Skill: `ntizar/depth-anything-3` (Agent Skill)
- Install (CLI): `npx skillmds@latest add ntizar/depth-anything-3`
- Raw SKILL.md: https://api.skillmd.com/api/skills/ntizar/depth-anything-3/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: ntizar (https://skillmd.com/u/ntizar)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/ntizar/depth-anything-3

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# Depth Anything V3 — profundidad monocular

> ⚠️ Corrección 2026-09-05 (auditoría): la API real es `depth_anything_3.api.DepthAnything3` + `from_pretrained` + `model.inference()`; **no** `depth_anything_v3.dpt.DepthAnythingV3`/`predict()`. El checkpoint HF es el del repo (ByteDance-Seed).

**Repo:** `https://github.com/ByteDance-Seed/Depth-Anything-3` (Python, ~6.3K⭐).

## When to Use

- Cuando pidas **estimar profundidad monocolar** de una imagen (relieve, 3D, reframes) con el modelo V3 de ByteDance.

## Uso (API real)

```python
from depth_anything_3.api import DepthAnything3
model = DepthAnything3.from_pretrained("ByteDance-Seed/Depth-Anything-3", device=...)
depth = model.inference(image_path)   # método inference (no predict)
```

## Pitfalls

- Import: **`depth_anything_3.api.DepthAnything3`**; no `depth_anything_v3.dpt.DepthAnythingV3`.
- Método: **`model.inference(...)`**, no `predict()`.

## Verificación

- `DepthAnything3.from_pretrained(...)` → `model.inference(img)` y comprobar el mapa de profundidad.