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import os
import subprocess
datasets = "venice_nearby_building_201810131720 venice_short_alley_201810171907 venice_open_water_201810131823 venice_under_bridge_201810121631 venice_under_bridge_201810131715 smallbridgesvenice_full_sequence_20181014_201810171354 shortsanmarcodronevenice_by_drone_20181014_20181016_201810172111 canalegrandevenice_by_drone_20181014_201810301222 2sanmarcovenice_by_drone_20181030_201811020900".split(" ")
for dataset in datasets:
folder = os.path.join('/media/lens/jules/results', dataset)
subprocess.call([
'/home/lens/miniconda3/envs/py36/bin/python',
'crop-thirds.py',
'--max', 750,
'--vertical_offset', '286',
'--crop_aspect', 1.5,
'--aspect', 3.0,
'--label', dataset,
'--folder', folder,
])
subprocess.call([
'/home/lens/miniconda3/envs/tf/bin/python',
'test.py',
'--in_dir', folder
])
subprocess.call([
'rsync',
'-a',
'/media/blue/uprez/renders/',
'jules@lmno:asdf/neural/uprez/'
])
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