MODEL PROFILE

depth-anything.cpp-gguf

mudler · depth-anything.cpp-gguf

GGUF conversions of ByteDance Depth Anything 3, for use with **depth-anything.cpp** — a from-scratch C++17 / ggml port. No Python, no PyTorch, no CUDA toolkit at inference: one self-contained GGUF file plus a small native library and CLI, **faster than PyTorch on CPU** and **bit-exact** against the original (correlation 1.0, verified component by component). Given an image, the engine recovers a dense **depth** map, per-pixel **confidence**, camera **extrinsics (3×4)** and **intrinsics (3×3)**, an optional **sky** mask, a back-projected **3D point cloud**, and exports to **glb / COLMAP / PLY**. Each GGUF is fully self-contained — every dimension, hyperparameter and preprocessing constant is baked into the file; the loader reads them, nothing is hardcoded.

Depth estimationlicense:apache-2.0
Context windowNot disclosed
Input → OutputImage → Image
Model weightsNot verified
Profile updated2026/10/30 17:09:06
OVERVIEW

Model overview

GGUF conversions of ByteDance Depth Anything 3, for use with **depth-anything.cpp** — a from-scratch C++17 / ggml port. No Python, no PyTorch, no CUDA toolkit at inference: one self-contained GGUF file plus a small native library and CLI, **faster than PyTorch on CPU** and **bit-exact** against the original (correlation 1.0, verified component by component). Given an image, the engine recovers a dense **depth** map, per-pixel **confidence**, camera **extrinsics (3×4)** and **intrinsics (3×3)**, an optional **sky** mask, a back-projected **3D point cloud**, and exports to **glb / COLMAP / PLY**. Each GGUF is fully self-contained — every dimension, hyperparameter and preprocessing constant is baked into the file; the loader reads them, nothing is hardcoded.

Key features

特点摘要待依据来源补齐,不凭模型名称推断能力。

Limitations & considerations

Sources are insufficient to establish specific limitations. Verify task performance, latency, data policies, licensing and version lifecycle.

PRICING & COST

Source prices & cost analysis

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INDEPENDENT BENCHMARKS

Public benchmarks & run configuration

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

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Frequently asked questions

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Sources & traceability

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。