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fixed benchmark scripts for compression
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Original file line number | Diff line number | Diff line change |
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SCENE_DIR="data/db" | ||
# eval all 9 scenes for benchmarking | ||
SCENE_LIST="playroom drjohnson" | ||
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# # 0.36M GSs | ||
# RESULT_DIR="results/benchmark_db_mcmc_0_36M_png_compression" | ||
# CAP_MAX=360000 | ||
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# # 0.49M GSs | ||
# RESULT_DIR="results/benchmark_db_mcmc_0_49M_png_compression" | ||
# CAP_MAX=490000 | ||
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# 1M GSs | ||
RESULT_DIR="results/benchmark_db_mcmc_1M_png_compression" | ||
CAP_MAX=1000000 | ||
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# # 4M GSs | ||
# RESULT_DIR="results/benchmark_db_mcmc_4M_png_compression" | ||
# CAP_MAX=4000000 | ||
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for SCENE in $SCENE_LIST; | ||
do | ||
echo "Running $SCENE" | ||
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# train without eval | ||
CUDA_VISIBLE_DEVICES=0 python simple_trainer.py mcmc --eval_steps -1 --disable_viewer --data_factor 1 \ | ||
--strategy.cap-max $CAP_MAX \ | ||
--data_dir $SCENE_DIR/$SCENE/ \ | ||
--result_dir $RESULT_DIR/$SCENE/ | ||
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# eval: use vgg for lpips to align with other benchmarks | ||
CUDA_VISIBLE_DEVICES=0 python simple_trainer.py mcmc --disable_viewer --data_factor 1 \ | ||
--strategy.cap-max $CAP_MAX \ | ||
--data_dir $SCENE_DIR/$SCENE/ \ | ||
--result_dir $RESULT_DIR/$SCENE/ \ | ||
--lpips_net vgg \ | ||
--compression png \ | ||
--ckpt $RESULT_DIR/$SCENE/ckpts/ckpt_29999_rank0.pt | ||
done | ||
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# Zip the compressed files and summarize the stats | ||
if command -v zip &> /dev/null | ||
then | ||
echo "Zipping results" | ||
python benchmarks/compression/summarize_stats.py --results_dir $RESULT_DIR --scenes $SCENE_LIST --scenes $SCENE_LIST | ||
else | ||
echo "zip command not found, skipping zipping" | ||
fi |
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