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