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']: name = 'voc_water_{}_{}'.format(year, split) __sets[name] = ( lambda split=split, year=year: pascal_voc_water(split, year))
# Set up cityscape_<year>_<split> for year in ['2007']: devkit_path = '/userhome/Datasets/cityscape' # devkit_path = '/userhome/Datasets/Cityscape_FroggyCityscape/cityscape' for split in ['test', 'trainval']: name = 'cityscape_{}_{}'.format(year, split) __sets[name] = (lambda year=year, split=split, devkit_path=devkit_path: cityscape(split, year, devkit_path=devkit_path)) # Set up foggy_cityscape_<year>_<split> for year in ['2007']: devkit_path = '/userhome/Datasets/Cityscape_FroggyCityscape/foggy-cityscape' for split in ['test', 'trainval']: name = 'foggy_cityscape_{}_{}'.format(year, split) __sets[name] = (lambda year=year, split=split, devkit_path=devkit_path: foggy_cityscape(split, year, devkit_path=devkit_path)) # Set up city2foggy_<year>_<split> for year in ['2007']: devkit_path = '/userhome/Datasets/city2foggy' for split in ['test', 'trainval']: name = 'city2foggy_{}_{}'.format(year, split) __sets[name] = (lambda year=year, split=split, devkit_path=devkit_path: city2foggy(split, year, devkit_path=devkit_path)) # Set up foggy2city_<year>_<split> for year in ['2007']: devkit_path = '/userhome/Datasets/foggy2city' for split in ['test', 'trainval']: name = 'foggy2city_{}_{}'.format(year, split) __sets[name] = (lambda year=year, split=split, devkit_path=devkit_path: foggy2city(split, year, devkit_path=devkit_path)) # Set up pl_foggy_cityscape_<year>_<split>
import os for split in ['train', 'trainval','val','test','detection_train']: for data_percentage in ['', '_1_00', '_1_01', '_1_02', '_10_samples', '_10_samples_2', '_10_samples_3']: name = 'cityscapes{}_{}'.format(data_percentage, split) __sets[name] = (lambda split=split, data_percentage=data_percentage : cityscape("cityscapes_" + split, devkit_path="datasets/voc_cityscapes{}".format(data_percentage))) for split in ['train', 'trainval','val','test']: name = 'kitti_{}'.format(split) __sets[name] = (lambda split=split : kitti("kitti_" + split, devkit_path="datasets/voc_kitti")) 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']: for data_percentage in ['', '_1_00', '_1_01', '_1_02', '_10_samples', '_10_samples_2', '_10_samples_3']: name = 'foggy_cityscapes{}_{}'.format(data_percentage, split) __sets[name] = (lambda split=split, data_percentage=data_percentage : foggy_cityscape("foggy_" + split, devkit_path="datasets/voc_cityscapes2foggy{}".format(data_percentage))) for split in ['train', 'trainval','test']: for data_percentage in ['', '_1_00', '_1_01', '_1_02', '_10_samples', '_10_samples_2', '_10_samples_3']: name = 'kitti{}_{}'.format(data_percentage, split) __sets[name] = (lambda split=split, data_percentage=data_percentage : kitti("kitti_" + split, devkit_path="datasets/voc_kitti{}".format(data_percentage))) 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']: