TimoBolkart

Results 84 comments of 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: ![tex_sample_-2](https://user-images.githubusercontent.com/26549953/109691389-ae4cc400-7b87-11eb-8055-30dbe9f01134.png) However...

Unfortunately, I cannot reproduce your result. Running with -3 I get this: ![tex_sample_-3](https://user-images.githubusercontent.com/26549953/110239597-1add0f80-7f48-11eb-92e4-f32298b3ead8.png) Even when running with -10, it does not show such clipping artifacts ![tex_sample_-10](https://user-images.githubusercontent.com/26549953/110239614-2e887600-7f48-11eb-8e25-0f6206785e24.png) 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) ![image](https://user-images.githubusercontent.com/26549953/182466250-7c4beba9-f6d2-4aec-9e9e-da214cf5cbec.png)

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...