Generating the SfM bags for new scenes

[sarlinpe]

I want to do some additional validation of the SfM task using training scenes of the Phototourism dataset. How should I generate the bags? The paper says that the bags are randomly sampled from the original set of 100 images per scene – with a co-visibility check (Section 4.5). I tried to:

1. pick subsets where all images share 3D points: this is too restrictive and yields very few to no bags of 25 images.
2. perform random walks on the visibility graph with a minimum ratio of covisible 3D points: this yields chains that are more difficult to reconstruct than the bags in the validation scenes.

Any pointer or code would be much appreciated, thanks!

[etrulls]

It was pretty simple, from what I recall. We refactored the code and there's a new script to do this, but I can't find it right now. @jyh2005xx can you please point Paul-Edouard to it? Thanks.

[sarlinpe]

@jyh2005xx helped out, thanks!

[biggiantpigeon]

@jyh2005xx helped out, thanks!

Hi, I'm trying to generating my own test set. Could you please show me the script you use? I am also wondering how to generate the folders like 'calibration', 'depth_maps' in a scene, could you give me some hint? Thanks a lot!