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Use a class attribute for type checking #721

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Use a class attribute for type checking #721

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6 changes: 3 additions & 3 deletions segment_anything/utils/amg.py
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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,6 @@

import numpy as np
import torch

import math
from copy import deepcopy
from itertools import product
Expand All @@ -18,17 +17,18 @@ class MaskData:
A structure for storing masks and their related data in batched format.
Implements basic filtering and concatenation.
"""
SUPPORTED_TYPES = (list, np.ndarray, torch.Tensor)

def __init__(self, **kwargs) -> None:
for v in kwargs.values():
assert isinstance(
v, (list, np.ndarray, torch.Tensor)
v, (self.SUPPORTED_TYPES)
), "MaskData only supports list, numpy arrays, and torch tensors."
self._stats = dict(**kwargs)

def __setitem__(self, key: str, item: Any) -> None:
assert isinstance(
item, (list, np.ndarray, torch.Tensor)
item, (self.SUPPORTED_TYPES)
), "MaskData only supports list, numpy arrays, and torch tensors."
self._stats[key] = item

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