This repository contains the model described in Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.
Project Page: https://videodepthanything.github.io
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.
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
python3 run.py --input_video ./assets/example_videos/davis_rollercoaster.mp4 --output_dir ./outputs --encoder vitl
This repository contains the model described in Video Depth Anything: Consistent Depth Estimation for Super-Long Videos.
Project Page: https://videodepthanything.github.io
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.
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
python3 run.py --input_video ./assets/example_videos/davis_rollercoaster.mp4 --output_dir ./outputs --encoder vitl