can u please make that training visualation also works on linux

[Manni1000]

Visualize training progress (only supported on Windows)

[jmunkberg]

As a WAR, please note that you can increase the frequency of saved training images, by increasing the frequency in the config, e.g., "save_interval": 10, to dump an image every 10 iterations.

We typically run headless in docker on Linux servers, and deliberately removed the OpenGL window to minimize dependencies.

It should be straightforward to enable it on your local workstation if needed. The display code is here: https://github.com/NVlabs/nvdiffrec/blob/main/render/util.py#L378