Saltar al contenido
ModelPublicadoExterno
Descargar

Video Depth Anything Small

This repository contains the model described in Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

TipoOtherVersiónRevision 2568753Bcalidad

Fuente del modelo

Tipo
Other
Tamaño del archivo
111 MB
Versión
vRevision 2568753
Actualizado
1 nov 2026
Descargas
0
Fuente
Hugging Face

Descripción de la fuente

Video Depth Anything

This repository contains the model described in Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.

Project Page: https://videodepthanything.github.io

About

This model is based on Depth Anything V2, and can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy.

Usage

git clone https://github.com/DepthAnything/Video-Depth-Anything
cd Video-Depth-Anything
pip install -r requirements.txt

Download the checkpoints listed here and put them under the checkpoints directory.

bash get_weights.sh

Inference a video

python3 run.py --input_video ./assets/example_videos/davis_rollercoaster.mp4 --output_dir ./outputs --encoder vitl

Fuentes

1 fuente
Hugging FacePrincipalVersión 256875362cff76724b920335dfb4b29dd611f66e
huggingface.co/depth-anything/Video-Depth-Anything-Small/tree/256875362cff76724b920335dfb4b29dd611f66e

Verificado 1 nov

Artefactos del modelo

1 artefacto

video_depth_anything_vits.pth

pth · 111 MB · SHA-256 13379300b739…3609 · Hugging Face

Download file

Extractos de fuentes

2 extractos

--- license: apache-2.0 library_name: pytorch pipeline_tag: depth-estimation --- # Video Depth Anything This repository contains the model described in [Video Depth Anything: Consistent Depth Estimation for Super-Long Videos](https://huggingface.co/papers/2501.12375). Project Page: https://videodepthanything.github.io ## About This model is based on [Depth Anything V2](https://github.com/DepthAnything/Depth-Anything-V2), and can be applied to arbitrarily long videos without compromising quality, consistency, or generalization ability. Compared with other diffusion-based models, it enjoys faster inference speed, fewer parameters, and higher consistent depth accuracy. ## Usage ```bash git clone https://github.com/DepthAnything/Video-Depth-Anything cd Video-Depth-Anything pip install -r requirements.txt ``` Download the checkpoints listed [here](#pre-trained-models) and put them under the `checkpoints` directory. ```bash bash get_weights.sh ``` ### Inference a video ```bash python3 run.py --input_video ./assets/example_videos/davis_rollercoaster.mp4 --output_dir ./outputs --encoder vitl ```

Source context: 0 downloads · 11 likes · Pipeline depth-estimation · Library pytorch · Repo depth-anything/Video-Depth-Anything-Small