RollingDepth

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RollingDepth is a computer vision tool that performs video depth estimation without relying on traditional video models. It provides an official implementation for researchers and developers to estimate depth in videos.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Skill level

Technical

About

What is RollingDepth?

RollingDepth is an open-source implementation of the paper "Video Depth without Video Models," accepted at CVPR 2025. This tool allows users to perform video depth estimation, offering different presets for inference speed and detail, including 'fast', 'fast1024', 'full', and 'paper' for reproducing research results. It supports various input video formats and provides options for output settings like frame rate, resolution restoration, and saving side-by-side RGB and depth videos. The tool is designed for computer vision researchers and AI developers, providing flexible configuration for processing resolution, refinement steps, and temporal analysis parameters.

Best used for

Ideal for computer vision researchers and AI developers who need to accurately estimate depth in video sequences, reproduce research results, and experiment with different inference parameters. Especially valuable for academic projects and developing applications requiring monocular video depth information.

Common actions

estimate video depth

analyze video frames

implement computer vision

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Capabilities

Key features

Video depth estimation
Multiple inference presets
Customizable processing resolution
Adjustable refinement steps
Flexible temporal analysis
Save depth maps as .npy
Side-by-side RGB and depth output

Target Audience

developerresearcher

Integrations

Not yet documented

Pricing & Plans

Open Source

Free

FAQs

What are the system requirements for running RollingDepth?

RollingDepth was tested on Debian 12 with Python 3.12.7 (venv), CUDA 12.4, and a GeForce RTX 3090. It also relies on ffmpeg for video I/O, specifically tested with version 5.1.6-0+deb12u1. Users should ensure their environment meets these specifications for optimal performance.

Can I customize the inference settings for my videos?

Yes, RollingDepth offers extensive customization. You can choose from presets like 'fast' or 'full', or manually adjust parameters such as maximum processing resolution, number of refinement iterations, snippet lengths, and dilations for temporal analysis. This allows fine-tuning for specific video characteristics or performance needs.

How can I reduce GPU memory usage when processing videos?

For footage requiring lower GPU memory, you can pass the arguments `--max-vae-bs 1` and `--unload-snippet true`. Additionally, using a smaller processing resolution, such as `--res 512`, can significantly help in managing memory consumption during inference.

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