Sushil Bharati

Yes, this would be very helpful for testing the algorithm on various devices running Windows. It would also be better if you could give more information on how one could...

@lmxyy Do you know if the models are CPU friendly? Do we "require" GPU to run them optimally? I tried it in my CPU-only environment and it takes ~1.96 sec...

Thank you, @lmxyy for the prompt response. That explains why I am getting such a slow speed. I am indeed using model(s) using Pytorch's CPU backend settings. So, is there...

Suggested method -1 did not work for me. Also, why is focal length set to 1?? Can you provide the link to sample images where the pipeline was tested with....

Here is the log: (What wonders me is "Segmentation Fault".. why did the code crash with that? And where is the core dumped file? You called : /openMVG_Build/Linux-x86_64-RELEASE/openMVG_main_SfMInit_ImageListing --imageDirectory /imgs...

Yes. Also I tried video mode `-v 4` with `openMVG_main_ComputeMatches` but failed.

Just a heads up. Any investigations so far? Why is it throwing Seg Fault?? I also tried in other 360 vid and the problem persists.

Dataset is shared. Hope to get something from the team asap on this. Any leads on this would be helpful.

Any progress or anyone looking into this? I have not heard since a week!

> I will try to obtain better corresponding point and better reconstruction later in the week. Sure. Thanks for the guidelines.