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run_analysis.py
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29 lines (24 loc) · 2.11 KB
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import sys
import os
import Rheoflu
params_fpath = os.path.join('Rheoflu', 'default_params.txt')
if __name__ == "__main__":
if len(sys.argv)>1:
if os.path.isfile(sys.argv[1]):
params_fpath = sys.argv[1]
if False:
for d in [25, 35]:
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_500h_acmc_20240911_110922_PM_20240911_110950_PM', fps=4204, filter_d=d)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_800h_acmc_20240911_110229_PM_20240911_110255_PM', fps=4204, filter_d=d)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_1000h_acmc_20240911_105640_PM_20240911_105654_PM', fps=4204, filter_d=d)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_2000h_acmc_20240911_103709_PM_20240911_103857_PM', fps=4204, filter_d=d)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_2000h_acmc_20240911_104620_PM_20240911_104648_PM', fps=4204, filter_d=d)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_7000ulh_20240815_52604_PM_20240815_052657_PM_rotated', fps=4954, filter_d=d)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_500ulh_20240815_51852_PM_20240815_051939_PM_rotated', fps=4954,
filter_d=21, track_minmass=1000, filter_range=[5, 50], filter_ss_maxtomean=10, allowed_badpoints=10)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_2000ulh_20240815_50923_PM_20240815_051110_PM_rotated', fps=4954,
filter_d=21, track_minmass=1000, filter_range=[5, 50], filter_ss_maxtomean=10, allowed_badpoints=10)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_10000ulh_20240815_54215_PM_20240815_054339_PM_rotated', fps=4954,
filter_d=21, track_minmass=1000, filter_range=[5, 50], filter_ss_maxtomean=10, allowed_badpoints=10)
Rheoflu.rheoflu_analysis(params_fpath, img_name='tween80_10000ulh_20240815_54915_PM_20240815_055020_PM_rotated', fps=4954,
filter_d=21, track_minmass=1000, filter_range=[5, 50], filter_ss_maxtomean=10, allowed_badpoints=10)