OpenSfM: Python structure-from-motion library (original repository)

What it supplies: OpenSfM is a Structure from Motion library written in Python that works as a pipeline for reconstructing camera poses and 3D scenes from multiple images, with modules for feature detection and matching and minimal solvers, aiming at a robust and scalable reconstruction pipeline. This repository's README says it is no longer under active development and points to a new OpenSfM repository. Useful for: - Estimate camera poses and a sparse 3D reconstruction from a photo set. - Study the pipeline structure, then move to the maintained repository for current work. First action: - Note the README's pointer to the new OpenSfM repository and prefer that one. - For this repository, use the Building, Running a reconstruction and Documentation pages it links. Prerequisites and limits: The README gives no versions or hardware figures in the text read; it links build, run and documentation pages. - The README states this repository is no longer under active development. - Detailed usage is only in linked pages. The README states OpenSfM is BSD-style licensed (see the LICENSE file) and refers to Facebook Open Source terms. Reconstructions carry the rights of the photographed subjects. Written from the README text only. Statements are as the README gives them; nothing was installed or run. Source inspected: https://raw.githubusercontent.com/mapillary/OpenSfM/caf3e8f6a3a82af83114d3b58a41dcb3a51a0540/README.md ; 2140 bytes ; sha256 401fd607b0ee4118a4ff926e0497ea8ba4d606f79f5e12d3fee89f887ad3a401 ; whole README text

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