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OpenSfM

Overview

OpenSfM is a Structure from Motion library written in Python. The library serves as a processing pipeline for reconstructing camera poses and 3D scenes from multiple images. It consists of basic modules for Structure from Motion (feature detection/matching, minimal solvers) with a focus on building a robust and scalable reconstruction pipeline. It also integrates external sensor (e.g. GPS, accelerometer) measurements for geographical alignment and robustness. A JavaScript viewer is provided to preview the models and debug the pipeline.

Getting Started

• Building the library
• Running a reconstruction
• Documentation

License

OpenSfM is BSD-style licensed, as found in the LICENSE file. See also the Facebook Open Source Terms of Use and Privacy Policy

For 360 gaussian splatting

In sample folder, there are config.yaml and camera_models_overrides.json. The difference from the original repository is this repository can use GPU acceralated feature and matching(feature: SUPERPOINT, DISK, ALIKED, matcher: LIGHTGLUE)

Sample data for 360 degree camera can be found here.

360 camera data

Start reconstruction with this command.

./bin/opensfm_pointcloud data/your_data_dir

After reconstruction, you will see reconstruction.json. You can visualize with opensfm viewer.

python3 viewer/server.py -d data/your_data_dir

You can use reconstruction.json and images for 360 gaussian splatting.