Closed vbelissen closed 3 years ago
We are currently looking into ways to decrease memory usage for NRS, but right now it indeed requires a lot of memory. You can try reducing image resolution, smaller batch sizes, or decreasing the patch size for the NRS warping. Let me know if any of these help!
Thank you very much! I have investigated the image resolution and it is indeed helpful. I'll look into the patch size now!
Hi,
I've been trying to train the NRS model on omnicam data, however even with a NVIDIA V100 with 24GB of memory, I get a CUDA run out of memory issue.
Any advice on how to get this model training with less GPU memory?
Best