Closed marclava closed 1 year ago
The idea is to use two separate meshes to simulate the right ear and left ear because using graded meshes significantly speeds up the simulations. We are currently preparing a paper that could be a good introduction to the concepts behind Mesh2HRTF. If you leave an e-mail, I can send you the current version.
If you leave an e-mail, I can send you the current version.
I sent you an email.
Hi, Even if you use Linux, most of the steps, settings and explanations are exactly the same: https://github.com/Any2HRTF/Mesh2HRTF/wiki/Basic_3D_optimization_and_ReMeshing#get-the-hrtf_mesh_grading
In the tutorial there is also a link to the original GitHub repository with usage instructions for Linux. In the end you can use the beginner's tutorial (video or text) and instead of running .bat files for Windows, execute about the same commands in Linux terminal (you can even look inside .bat files to see what is executed).
Quick notification: I made it!
The issue is closed, but here's what I did that seemed to fix the issue: for each mesh (left and right), I assigned only one "ear" material, leaving the Skin material on the contralateral ear. Does it makes sense? I had the impression that the exported Mesh2HRTF projects were not excluding the contralateral ears from the simulations...
If both ears would be included, it would be a bug. Can you share the NC.inp files from the NumCalc/source_* folders for both cases? Then I could have a look.
I sent you an email with the NC.inp files.
Hi Mesh2HRTF team,
I tried to follow the beginner's tutorial, but I'm a Linux user... Then I found there's a new version in the making ('develop' branch) with a corresponding documentation: https://github.com/Any2HRTF/Mesh2HRTF/wiki/Mesh2HRTF-1.x I was able to follow the hrtf tutorial: https://github.com/Any2HRTF/Mesh2HRTF/wiki/Unix_Tutorials#hrtf-tutorial But I don't understand how to use the hrtf_mesh_grading software; it can be used to create 2 optimized models, one for each ear, but how to use them in 1.x workflow?
Thanks for your attention and help.