Open ghost opened 4 months ago
@kqjt0e11gy0jkgmy Hi, could you share your configuration information? For example, Python version, PyTorch version, CUDA version, etc. I haven't resolved the memory error issue despite trying the solutions mentioned above.
@kqjt0e11gy0jkgmy Hi, could you share your configuration information? For example, Python version, PyTorch version, CUDA version, etc. I haven't resolved the memory error issue despite trying the solutions mentioned above.
I run the FSGS code on the RTX3090 with python3.8, torch1.12, CUDA11.3 (I am not sure about it since recently I did't run it) However, I don't think that the memory error issue is caused by the environment configuration?
Hi, thanks for the fancy work. I have tried running the code and it works well. However, I am confused that It seems that the generation of pseudo poses is the average of all training view poses with noise, but the description on Page 4 of this paper is "The synthesized view is sampled from the two closest training views in Euclidean space, calculating the averaged camera orientation and interpolating a virtual one between them." I can't find the corresponding code related to generating random poses described in the paper. Please confirm if my understanding is correct, or if there is any misunderstanding of the code.