check equirectangular photo connected ?

I’m looking for a Python-based workflow that takes my equirectangular photo collection and, for any two images I select, confirms whether they were shot from the same angle. Beyond the yes/no decision, the script must also:

- check whether they are connected
• calculate the scale ratio between the pair,
- the angle yaw and pitch they connected
• assign a reliability/confidence score to its assessment.

sample dataset :

https://drive.google.com/drive/folders/1SAaVIyq-3tLlY7W9YdyFKBgT5N_rIVM1?usp=sharing

i run the progam using cli, json output is fine

All results should be written to a concise text report that I can easily parse or forward—feel free to suggest the most convenient plain-text structure.

You’re free to use OpenCV, scikit-image, NumPy, or any other well-supported libraries so long as installation remains straightforward (pip/conda). Robustness matters more than raw speed: lighting changes, slight exposure shifts, and minor stitching artefacts are present in some files, so the algorithm should tolerate them without false positives.

If you have experience matching viewpoints in panorama or VR imagery—and can demonstrate a repeatable accuracy metric—let’s talk about your approach and timeline.