TimoBolkart
TimoBolkart
You are right, I forgot to commit the file.
It had been tested only with linux
May I ask what you intend to do with the landmarks extracted from a VOCA mesh? VOCA outputs meshes in FLAME topology which provides a much denser correspondence than just...
Can you please specify how you use the AlbedoMM texture model? To you clip the texture values before exporting?
This is weird, I am running sample_texture.py with the first two parameters assigned to -2. All with the albedoModel2020_FLAME_albedoPart.npz albedo model. The resulting texture map looks like this:  However...
Unfortunately, I cannot reproduce your result. Running with -3 I get this:  Even when running with -10, it does not show such clipping artifacts  Running with -10 certainly...
Thank you for the feedback. I do have that line in my code and and it was actually there to prevent such clipping artifacts, by mapping too small or too...
Hi, I just downloaded the trainingdata.zip from the VOCA website and unpacked it. It seems to contain all files that you are missing (See screenshot of the folder below) 
I cannot reproduce this behavior. Can you add a breakpoint [after this line](https://github.com/TimoBolkart/voca/blob/7bfd21ccdefcf284ba784f55eea57f9d5ab11d00/utils/audio_handler.py#L101) in the audio handler and print the loaded tensorflow graph?
As it does not find the input node, you could for instance print the output of `[placeholder for op in tf.get_default_graph().get_operations() if op.type=='Placeholder' for placeholder in op.values()]` which should return...