Oops37

Thanks for your sharing！When I tried to train the enerf_outdoor dataset on Windows11, I got the following error message:   But I have installed pyopengl3.1.7. ...

I have installed 4K4D on autodl and installed related dependencies. During training, an egl error still occurs, as follows:   Does this project not support training in a headless...

Here is my environment: linux: ubuntu20.04 python 3.10.14+pytorch1.13.0+cuda11.6 nvidia driver version: 510.60.02 The driver cannot be updated and the 10_nvidia.json file cannot be found because it is a cloud server...

I'm really sorry to bother you...This is my mistake...I tried creating 10_nvidia.json under both "/etc/glvnd/egl_vendor.d" and "/usr/share/glvnd/egl_vendor.d". But a new EGL error occurred.Complete information is as follows: (easyvolcap) root@autodl-container-45f511a5e8-b65a70b6:~/4K4D# evc...

Thank you very much! Executing this command can successfully convert the joint training model to real-time format. Then I called superb.yaml during gui real-time rendering and it worked.

> We use the default settings as shown by the code: rescaling large resolution to 1.6k. May I ask if the Mipnerf-360 experimental results in the paper were also obtained...