Thank you very much for your great work!
I use the training command recommended by the repository to train on the public bicycle dataset and can't converge, please help to see where the problem is, thank you! The command to run is as follows:
python train.py -s /home/xx/lab/SteepGS/data/bicycle -m /home/xx/lab/SteepGS/output/bicycle --no_gui --densify_strategy steepest --S_estimator partial --eval
even i used
python train.py -s /home/xx/lab/SteepGS/data/bicycle -m /home/xx/lab/SteepGS/output/bicycle --no_gui --densify_strategy steepest --S_estimator approx --eval
and
python train.py -s /home/xx/lab/SteepGS/data/bicycle -m /home/xx/lab/SteepGS/output/bicycle --no_gui --densify_strategy steepest --S_estimator inv_cov --eval
None of them could converge!
Thank you very much for your great work!
I use the training command recommended by the repository to train on the public bicycle dataset and can't converge, please help to see where the problem is, thank you! The command to run is as follows:
python train.py -s /home/xx/lab/SteepGS/data/bicycle -m /home/xx/lab/SteepGS/output/bicycle --no_gui --densify_strategy steepest --S_estimator partial --eval
even i used
python train.py -s /home/xx/lab/SteepGS/data/bicycle -m /home/xx/lab/SteepGS/output/bicycle --no_gui --densify_strategy steepest --S_estimator approx --eval
and
python train.py -s /home/xx/lab/SteepGS/data/bicycle -m /home/xx/lab/SteepGS/output/bicycle --no_gui --densify_strategy steepest --S_estimator inv_cov --eval
None of them could converge!