mirror of
https://github.com/graphdeco-inria/gaussian-splatting
synced 2024-11-26 05:39:31 +00:00
34 lines
1.1 KiB
Bash
Executable File
34 lines
1.1 KiB
Bash
Executable File
#!/bin/bash
|
|
|
|
DIR="$( cd "$( dirname "${BASH_SOURCE[0]}" )" && pwd )"
|
|
cd "$DIR"
|
|
|
|
|
|
#cd ..
|
|
|
|
mkdir -p $1-data/input
|
|
mkdir -p $1-data/output
|
|
|
|
FPS="5" #<-change this to change framerate
|
|
|
|
|
|
if [ -f $1-data/input/0001.jpg ]
|
|
then
|
|
echo "File $1 appears to have already been split .."
|
|
else
|
|
ffmpeg -i $1 -qscale:v 1 -qmin 1 -vf fps=$FPS $1-data/input/%04d.jpg
|
|
fi
|
|
|
|
|
|
python3.10 convert.py -s $1-data/ --camera SIMPLE_RADIAL --no_gpu #GPU produces worse results (?)
|
|
python3.10 train.py -s $1-data/ -r 1 --model_path=$1-data/output/ --position_lr_init 0.000016 --position_lr_final 0.000001 --scaling_lr 0.001 --iterations 100000 #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/output/point_cloud/iteration_30000/output_cc.ply -o $1-data/output/output/point_cloud/iteration_30000/point_cloud_clean.ply -f 3dgs
|
|
|
|
#pack it in
|
|
#tar cvfjh "$1.tar.bz2" $1-data/
|
|
|
|
|
|
exit 0
|