def test_can_save_dataset_with_cyrillic_and_spaces_in_filename(self):
dataset = Dataset.from_iterable([
DatasetItem(id='кириллица с пробелом', image=np.ones((4, 2, 3))),
])
with TestDir() as test_dir:
check_save_and_load(self,
dataset,
ImageDirConverter.convert,
test_dir,
importer='image_dir')
def test_relative_paths(self):
dataset = Dataset.from_iterable([
DatasetItem(id='1', image=np.ones((4, 2, 3))),
DatasetItem(id='subdir1/1', image=np.ones((2, 6, 3))),
DatasetItem(id='subdir2/1', image=np.ones((5, 4, 3))),
])
with TestDir() as test_dir:
check_save_and_load(self,
dataset,
ImageDirConverter.convert,
test_dir,
importer='image_dir')
def test_can_load(self):
dataset = Dataset.from_iterable([
DatasetItem(id=1, image=np.ones((10, 6, 3))),
DatasetItem(id=2, image=np.ones((5, 4, 3))),
])
with TestDir() as test_dir:
check_save_and_load(self,
dataset,
ImageDirConverter.convert,
test_dir,
importer='image_dir',
require_images=True)
def test_can_save_and_load_image_with_arbitrary_extension(self):
dataset = Dataset.from_iterable([
DatasetItem(id='q/1',
image=Image(path='q/1.JPEG', data=np.zeros(
(4, 3, 3)))),
DatasetItem(id='a/b/c/2',
image=Image(path='a/b/c/2.bmp',
data=np.zeros((3, 4, 3)))),
])
with TestDir() as test_dir:
check_save_and_load(self,
dataset,
ImageDirConverter.convert,
test_dir,
importer='image_dir',
require_images=True)
def _test_save_and_load(self,
source_dataset,
converter,
test_dir,
target_dataset=None,
importer_args=None,
**kwargs):
return check_save_and_load(self,
source_dataset,
converter,
test_dir,
importer='mot_seq',
target_dataset=target_dataset,
importer_args=importer_args,
**kwargs)
def _test_save_and_load(self,
source_dataset,
converter,
test_dir,
target_dataset=None,
importer_args=None,
**kwargs):
kwargs.setdefault('dimension', Dimensions.dim_3d)
return check_save_and_load(self,
source_dataset,
converter,
test_dir,
importer='kitti_raw',
target_dataset=target_dataset,
importer_args=importer_args,
**kwargs)
def _test_save_and_load(self,
source_dataset,
converter,
test_dir,
target_dataset=None,
importer_args=None,
compare=compare_datasets_strict,
**kwargs):
return check_save_and_load(self,
source_dataset,
converter,
test_dir,
importer='datumaro',
target_dataset=target_dataset,
importer_args=importer_args,
compare=compare,
**kwargs)