UniqAI/gaussian-splatting
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Ammar Qammaz 2023-11-03 23:24:59 +02:00
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commit 1acf7a3900
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docker/run.sh
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@ -24,7 +24,7 @@ python3.10 convert.py -s $1-data/ --camera SIMPLE_RADIAL --no_gpu #GPU produces
python3.10 train.py -s $1-data/ -r 1 --model_path=$1-data/output/ --position_lr_init 0.000016 --scaling_lr 0.001 --iterations 35000 #Test more training budget python3.10 train.py -s $1-data/ -r 1 --model_path=$1-data/output/ --position_lr_init 0.000016 --scaling_lr 0.001 --iterations 35000 #Test more training budget
python3.10 3dgsconverter/3dgsconverter.py -i $1-data/output/point_cloud/iteration_30000/point_cloud.ply -o $1-data/output/point_cloud/iteration_30000/output_cc.ply -f cc --rgb --density_filter --remove_flyers python3.10 3dgsconverter/3dgsconverter.py -i $1-data/output/point_cloud/iteration_30000/point_cloud.ply -o $1-data/output/point_cloud/iteration_30000/output_cc.ply -f cc --rgb --density_filter --remove_flyers
python3.10 3dgsconverter/3dgsconverter.py -i $1-data/output/output/point_cloud/iteration_30000/output_cc.ply -o $1-data/output/output/point_cloud/iteration_30000/point_cloud_clean.ply -f 3dgs python3.10 3dgsconverter/3dgsconverter.py -i $1-data/output/point_cloud/iteration_30000/output_cc.ply -o $1-data/output/point_cloud/iteration_30000/point_cloud_clean.ply -f 3dgs
#pack it in #pack it in
#tar cvfjh "$1.tar.bz2" $1-data/ #tar cvfjh "$1.tar.bz2" $1-data/