pl_foggy_cityscape(split, year, devkit_path=devkit_path))
# Set up sim10k_<year>_<split>
for year in ['2012']:
devkit_path = '/userhome/Datasets/Sim10k'
for split in ['trainval']:
name = 'sim10k_{}_{}'.format(year, split)
__sets[name] = (lambda year=year, split=split, devkit_path=devkit_path:
sim10k(split, year, devkit_path=devkit_path))
# Set up cityscape_car_<year>_<split>
for year in ['2007']:
devkit_path = '/userhome/Datasets/cityscape'
for split in ['test', 'trainval']:
name = 'cityscape_car_{}_{}'.format(year, split)
__sets[name] = (lambda year=year, split=split, devkit_path=devkit_path:
cityscape_car(split, year, devkit_path=devkit_path))
# Set up sim10k2city_<year>_<split>
for year in ['2012']:
devkit_path = '/userhome/Datasets/sim10k2city'
for split in ['trainval']:
name = 'sim10k2city_{}_{}'.format(year, split)
__sets[name] = (lambda year=year, split=split, devkit_path=devkit_path:
sim10k2city(split, year, devkit_path=devkit_path))
# Set up city2sim10k_<year>_<split>
for year in ['2007']:
devkit_path = '/userhome/Datasets/city2sim10k'
for split in ['test', 'trainval']:
name = 'city2sim10k_{}_{}'.format(year, split)
__sets[name] = (lambda year=year, split=split, devkit_path=devkit_path:
city2sim10k(split, year, devkit_path=devkit_path))
# Set up pl_cityscape_<year>_<split>
from datasets.pascal_voc_cycleclipart import pascal_voc_cycleclipart
from datasets.sim10k import sim10k
from datasets.water import water
from datasets.clipart import clipart
from datasets.sim10k_cycle import sim10k_cycle
from datasets.cityscape import cityscape
from datasets.cityscape_car import cityscape_car
from datasets.foggy_cityscape import foggy_cityscape
import numpy as np
for split in ['train', 'trainval', 'val', 'test']:
name = 'cityscape_{}'.format(split)
__sets[name] = (lambda split=split: cityscape(split))
for split in ['train', 'trainval', 'val', 'test']:
name = 'cityscape_car_{}'.format(split)
__sets[name] = (lambda split=split: cityscape_car(split))
for split in ['train', 'trainval', 'test']:
name = 'foggy_cityscape_{}'.format(split)
__sets[name] = (lambda split=split: foggy_cityscape(split))
for split in ['train', 'val']:
name = 'sim10k_{}'.format(split)
__sets[name] = (lambda split=split: sim10k(split))
for split in ['train', 'val']:
name = 'sim10k_cycle_{}'.format(split)
__sets[name] = (lambda split=split: sim10k_cycle(split))
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'voc_{}_{}'.format(year, split)
__sets[name] = (lambda split=split, year=year: pascal_voc(split, year))
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
