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:
  print(">>> {}".format(dataset))
  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',
    '../vsr-duf/test.py',
    '--in_dir', './thirds/{}'.format(dataset),
    '--network_dir', '/home/lens/code/vsr-duf',
  ])

subprocess.call([
  'rsync',
  '-a',
  '/media/blue/uprez/renders/',
  'jules@lmno:asdf/neural/uprez/'
])