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# Copyright (c) OpenMMLab. All rights reserved.
def is_3dlist(x):
"""check x is 3d-list([[[1], []]]) or 2d empty list([[], []]) or 1d empty
list([]).
Notice:
The reason that it contains 1d or 2d empty list is because
some arguments from gt annotation file or model prediction
may be empty, but usually, it should be 3d-list.
"""
if not isinstance(x, list):
return False
if len(x) == 0:
return True
for sub_x in x:
if not is_2dlist(sub_x):
return False
return True
def is_2dlist(x):
"""check x is 2d-list([[1], []]) or 1d empty list([]).
Notice:
The reason that it contains 1d empty list is because
some arguments from gt annotation file or model prediction
may be empty, but usually, it should be 2d-list.
"""
if not isinstance(x, list):
return False
if len(x) == 0:
return True
return all(isinstance(item, list) for item in x)
def is_type_list(x, type):
if not isinstance(x, list):
return False
return all(isinstance(item, type) for item in x)
def is_none_or_type(x, type):
return isinstance(x, type) or x is None
def equal_len(*argv):
assert len(argv) > 0
num_arg = len(argv[0])
for arg in argv:
if len(arg) != num_arg:
return False
return True
def valid_boundary(x, with_score=True):
num = len(x)
if num < 8:
return False
if num % 2 == 0 and (not with_score):
return True
if num % 2 == 1 and with_score:
return True
return False
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