Have you looked at Meshroom ? If you have enough photos maybe you can select a subset which are similar enough to get the algorithm working. It's a hot researc

Have you looked at Meshroom ? If you have enough photos maybe you can select a subset which are similar enough to get the algorithm working. It's a hot research subject combining deep learning and SLAM, to be able to estimate the locations and have a neural network hallucinate the view from a specific position. There will probably be some turn-key solution with-in a few years. But for the virtual visit you may not want no solve the full hard problem of reconstructing the 3d point cloud, if you have the position and orientation of the pictures (which you can position manually), you can have a rendering like in street-view or those point-and-click games, where you jump, to the closest picture in the right orientation. It will also have the merit of not suppressing the foreground of the pictures which in a certain sense is kind of the heart of the memory lane.