__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))
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'voc_cycleclipart_{}_{}'.format(year, split)
__sets[name] = (lambda split=split, year=year: pascal_voc_cycleclipart(
split, year))
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'voc_cyclewater_{}_{}'.format(year, split)
__sets[name] = (
lambda split=split, year=year: pascal_voc_cyclewater(split, year))
for year in ['2007']:
for split in ['trainval', 'test']:
name = 'clipart_{}'.format(split)
__sets[name] = (lambda split=split: clipart(split, year))
for year in ['2007']:
for split in ['train', 'test']:
name = 'water_{}'.format(split)
__sets[name] = (lambda split=split: water(split, year))
def get_imdb(name):
"""Get an imdb (image database) by name."""
if name not in __sets:
raise KeyError('Unknown dataset: {}'.format(name))
return __sets[name]()
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))
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'voc_cycleclipart_{}_{}'.format(year, split)
__sets[name] = (lambda split=split, year=year: pascal_voc_cycleclipart(split, year))
for year in ['2007', '2012']:
for split in ['train', 'val', 'trainval', 'test']:
name = 'voc_cyclewater_{}_{}'.format(year, split)
__sets[name] = (lambda split=split, year=year: pascal_voc_cyclewater(split, year))
for split in ['train', 'trainval', 'test']:
for data_percentage in ['', '_1_00', '_1_01', '_1_02']:
dataset_name = 'clipart{}'.format(data_percentage)
name = '{}_{}'.format(dataset_name, split)
__sets[name] = (lambda split=split, dataset_name=dataset_name: clipart(split,devkit_path=os.path.join('datasets', dataset_name)))
for split in ['train', 'test']:
for data_percentage in ['', '_1_00', '_1_01', '_1_02']:
dataset_name = 'comic{}'.format(data_percentage)
name = '{}_{}'.format(dataset_name, split)
__sets[name] = (lambda split=split, dataset_name=dataset_name: comic(split,devkit_path=os.path.join('datasets', dataset_name)))
for split in ['train', 'test']:
for data_percentage in ['', '_1_00', '_1_01', '_1_02']:
dataset_name = 'watercolor{}'.format(data_percentage)
name = '{}_{}'.format(dataset_name, split)
__sets[name] = (lambda split=split, dataset_name=dataset_name: water(split,devkit_path=os.path.join('datasets', dataset_name)))