Case study

upright: reconstructing Lightroom Classic's perspective correction

upright reconstructs Lightroom Classic's Upright perspective correction from catalog transforms, controlled application runs, and selected CameraRaw binary observations. It publishes a two-camera homography model, measured Auto-mode behavior, evidence files, and an MIT-licensed Python port; the author reports that the port performs poorly on real photographs.

Targets: App · Binary
Category: Independent reconstruction cases
Relationship: Independent reconstruction project
Sources reviewed: 2026-11-06
Evidence class: C2 code & docs, no demo or download

Stars: 1
Last commit: 2026-10-31
Language: Python
License (GitHub): MIT

GitHub data as of 2026-11-10

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Evidence

Observed: Code and documentation observed; no download method or demo found.
Checked: 2026-11-08

How evidence classes are assigned

Requirements & limits

Prerequisites: Python 3.10 or newer, NumPy, and OpenCV are needed for the port.
Limits: The author reports that the port often returns identity on real photos and has a 40.7% loss rate against plain identity in the stated comparison.
License: MIT License.

Cite

BibTeX

@misc{lightroom-upright-case,
  title = {{upright: reconstructing Lightroom Classic's perspective correction}},
  howpublished = {\url{https://github.com/rohanpandula/upright}},
  url = {https://github.com/rohanpandula/upright},
  urldate = {2026-11-06},
  note = {Awesome REA entry: \url{https://awesomerea.org/resources/lightroom-upright-case/}}
}

Plain text

upright: reconstructing Lightroom Classic's perspective correction. https://github.com/rohanpandula/upright (accessed 2026-11-06). Awesome REA entry: https://awesomerea.org/resources/lightroom-upright-case/

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About this entry

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Primary sources

README.md GitHub · rohanpandula/upright · Revision 490391d
README-validation.md GitHub · rohanpandula/upright · Revision 490391d
port/README.md GitHub · rohanpandula/upright · Revision 490391d