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train.bash
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83 lines (76 loc) · 1.77 KB
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output_dir="./exp/"
# PISR dataset
root_dir=''
list="StandingRabbit LyingRabbit"
for i in $list; do
time=$(date "+%Y%m%d%H%M%S")
python train.py \
-s ${root_dir}${i} \
-m ${output_dir}${i}_${time} \
--resolution 2 \
--iterations 15000 \
--stokes_l 0.1 \
--azimuth_l 0.05 \
--azimuth_start 1000\
python render.py \
-m ${output_dir}${i}_${time} \
--resolution 2 \
--img \
--iteration -1
done
# SMVP3D dataset
root_dir=''
list="snail david hedgehog dragon squirrel"
for i in $list; do
time=$(date "+%Y%m%d%H%M%S")
python train.py \
-s ${root_dir}${i} \
-m ${output_dir}${i}_${time} \
--resolution 1 \
--iterations 15000 \
--stokes_l 0.1 \
--azimuth_l 0.5 \
--azimuth_start 1000
python render.py \
-m ${output_dir}${i}_${time} \
--resolution 1 \
--img \
--iteration -1
done
# RMVP3D dataset
root_dir=''
list="shisa frog dog"
for i in $list; do
time=$(date "+%Y%m%d%H%M%S")
python train.py \
-s ${root_dir}${i} \
-m ${output_dir}${i}_${time} \
--resolution 2 \
--iterations 15000 \
--stokes_l 0.1\
--azimuth_l 0.1 \
--azimuth_start 1000\
python render.py \
-m ${output_dir}${i}_${time} \
--resolution 2 \
--img \
--iteration -1
done
# PANDORA dataset
list="owl vase"
for i in $list; do
time=$(date "+%Y%m%d%H%M%S")
python train.py \
-s ${root_dir}${i} \
-m ${output_dir}${i}_${time} \
--resolution 4 \
--iterations 15000 \
--stokes_l 0.1 \
--azimuth_l 0.1 \
--azimuth_start 1000\
python render.py \
-m ${output_dir}${i}_${time} \
--resolution 4 \
--img \
--iteration -1
done