cDc

yes, `nIgnoreMaskLabel` can be easily extended to a list (values separated by comma in command line and use `Util::strSplit()` to split it in an array) `LoadInterface()` is for sure not...

I understand, but as I said that is not how things are done in OpenMVS (in order to lower the memory usage). The reference and target images plus the reference...

The paper is building upon the framework proposed in COLMAP which follows a probabilistic model. However, similarly can be applied in OpenMVS; in `ScorePixelImage()`: ``` score = photometric_score + alpha...

thx @CanCanZeng I read the paper a while back, it is interesting, though not sure how accurate is the segmentation per image, as they seem to have also a post...

We are working on it, but nothing to release yet.

It run out of memory, pls use the CPU version for mesh refinement

most probably OOM, install more RAM

you can use `-d ` param in ReconstructMesh to lower the mesh resolution

that might be just the JPG encoder that introduces slight errors, try saving the texture directly in PNG (there is a param as well), or if in TIFF with lossless...

pls try 2019 or 2022, I did not test on 2017