metadata
license: apache-2.0
pipeline_tag: depth-estimation
tags:
- '360'
- depth-estimation
- computer-vision
ORB: Omni-directional Reconstruction Backbone
ORB is a 360° panorama depth estimation model that predicts dense distance maps from equirectangular panoramas in a single forward pass.
Model Description
This model takes a 360° equirectangular panorama (2:1 aspect ratio) as input and outputs a dense depth/distance map at the same resolution. It's designed for:
- Zero-shot depth estimation from panoramic images
- Scale-invariant predictions with geometric fidelity
- End-to-end processing without post-processing
Quick Start
from orb import predict_pano_depth
# Predict depth from panorama
distance = predict_pano_depth('panorama.png')
Model Details
- Input: RGB panorama (equirectangular, width = 2 × height)
- Output: Dense depth/distance map (same resolution as input)
- Format: SafeTensors (1.3 GB)
- Precision: FP32 / FP16 supported
- Base Architecture: Built upon DA²: Depth Anything in Any Direction
📖 Full Documentation
For complete installation instructions, advanced usage, API documentation, and examples, please visit:
License
Apache 2.0 - See LICENSE
Acknowledgements
Built upon the foundational work of the DA-2.
Made with ❤️ by Sperid Labs