Revision 3251f302f33443e9bdf0ca1a4b304766ef90d077 authored by Philipp Erler on 04 March 2024, 14:15:22 UTC, committed by GitHub on 04 March 2024, 14:15:22 UTC
1 parent d1909d3
full_run_pps.py
# this script runs a model through training, testing and prediction of all datasets
import os
from source.base.mp import get_multi_gpu_params
if __name__ == '__main__':
python_call = 'python'
main_cmd = 'pps.py'
name = 'ppsurf_50nn'
version = '0'
# on_server = True
main_cmd = python_call + ' ' + main_cmd
cmd_template = '{main_cmd} {sub_cmd} {configs}'
configs = '-c configs/poco.yaml -c configs/ppsurf.yaml {server} -c configs/{name}.yaml'
# training
# configs_train = configs.format(server='-c configs/device_server.yaml' if on_server else '', name=name)
configs_train = configs.format(server=' '.join(get_multi_gpu_params()), name=name)
cmd_train = cmd_template.format(main_cmd=main_cmd, sub_cmd='fit', configs=configs_train)
os.system(cmd_train)
args_no_train = ('--ckpt_path models/{name}/version_{version}/checkpoints/last.ckpt '
'--trainer.logger False --trainer.devices 1').format(name=name, version=version)
configs_no_train = configs.format(server='', name=name)
cmd_template_no_train = cmd_template + ' --data.init_args.in_file {dataset}/testset.txt ' + args_no_train
# testing
cmd_test = cmd_template_no_train.format(main_cmd=main_cmd, sub_cmd='test', configs=configs_no_train,
dataset='datasets/abc_train')
os.system(cmd_test)
# prediction
datasets = [
# 'abc_minimal',
'abc',
'abc_extra_noisy',
'abc_noisefree',
'real_world',
'famous_original', 'famous_noisefree', 'famous_sparse', 'famous_dense', 'famous_extra_noisy',
'thingi10k_scans_original', 'thingi10k_scans_noisefree', 'thingi10k_scans_sparse',
'thingi10k_scans_dense', 'thingi10k_scans_extra_noisy'
]
for ds in datasets:
cmd_pred = cmd_template_no_train.format(main_cmd=main_cmd, sub_cmd='predict', configs=configs_no_train,
dataset='datasets/' + ds)
os.system(cmd_pred)
# make comparison
os.system('python source/figures/comp_all.py')
print('All done. You should find the results in results/comp/reports/comp_all.xlsx.')
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