Hello! I am trying to revitalise this network as it seems very good at producing image based lighting from panoramas.
However even after building the environment correctly in a runpod environment using a GTX3090 and 126GB of RAM it all runs extremely slowly with very minimal utilisation of any GPU memory. Currently the test image provided in ./test/pano1.png always hangs on "processing" instead of being processed in a few seconds.
GPU utilisation also seems to be very low, at around ~5% even though I am using tensorflow-gpu==1.13.1 and I can confirm that CUDA is available
Do you have any tips for getting it to run inference fast or if there are any similar more up to date projects?
Hello! I am trying to revitalise this network as it seems very good at producing image based lighting from panoramas.
However even after building the environment correctly in a runpod environment using a GTX3090 and 126GB of RAM it all runs extremely slowly with very minimal utilisation of any GPU memory. Currently the test image provided in ./test/pano1.png always hangs on "processing" instead of being processed in a few seconds.
GPU utilisation also seems to be very low, at around ~5% even though I am using tensorflow-gpu==1.13.1 and I can confirm that CUDA is available
Do you have any tips for getting it to run inference fast or if there are any similar more up to date projects?