I've trained two 4DGS model with different intervals on same dataset and same configs as DyNerf data format. However, on running merging multiple 4dgs models merge_many_4dgs.py throws a mismatch error.
This is how I ran the merging code ->
python merge_many_4dgs.py --skip_train --model_path output/interval_1-20/ --configs1 arguments/dynerf/default.py --configs2 arguments/dynerf/default.py --modelpath2 output/interval_21-40/
Besides, as I understand that the merge_many_4dgs.py script, provides a merged/concatenated render that includes both trained model scenes.
Question 1 -> Is there anything wrong on the running section with 2 trained 4DGS ?
Question 2 -> Is it true that what merge_many_4dgs.py does as technically ? For my example, I'm expecting a 1-40 (1-20 + 21-40 intervals) interval dynamic GS.
Hello everyone,
I've trained two 4DGS model with different intervals on same dataset and same configs as DyNerf data format. However, on running merging multiple 4dgs models
merge_many_4dgs.pythrows a mismatch error.This is how I ran the merging code ->
python merge_many_4dgs.py --skip_train --model_path output/interval_1-20/ --configs1 arguments/dynerf/default.py --configs2 arguments/dynerf/default.py --modelpath2 output/interval_21-40/Besides, as I understand that the
merge_many_4dgs.pyscript, provides a merged/concatenated render that includes both trained model scenes.Question 1 -> Is there anything wrong on the running section with 2 trained 4DGS ? Question 2 -> Is it true that what
merge_many_4dgs.pydoes as technically ? For my example, I'm expecting a 1-40 (1-20 + 21-40 intervals) interval dynamic GS.This is the error log and configs I'm using
Cheers