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Use int16 instead of int8 in LabelStats #7489

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Merged
merged 2 commits into from
Feb 23, 2024
Merged

Use int16 instead of int8 in LabelStats #7489

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2de5647
use uint8 instead of int8
KumoLiu Feb 23, 2024
bb6a776
use int16 instead
KumoLiu Feb 23, 2024
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4 changes: 2 additions & 2 deletions monai/auto3dseg/analyzer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -460,7 +460,7 @@ def __call__(self, data: Mapping[Hashable, MetaTensor]) -> dict[Hashable, MetaTe
torch.set_grad_enabled(False)

ndas: list[MetaTensor] = [d[self.image_key][i] for i in range(d[self.image_key].shape[0])] # type: ignore
ndas_label: MetaTensor = d[self.label_key].astype(torch.int8) # (H,W,D)
ndas_label: MetaTensor = d[self.label_key].astype(torch.int16) # (H,W,D)

if ndas_label.shape != ndas[0].shape:
raise ValueError(f"Label shape {ndas_label.shape} is different from image shape {ndas[0].shape}")
Expand All @@ -472,7 +472,7 @@ def __call__(self, data: Mapping[Hashable, MetaTensor]) -> dict[Hashable, MetaTe
if isinstance(ndas_label, (MetaTensor, torch.Tensor)):
unique_label = unique_label.data.cpu().numpy()

unique_label = unique_label.astype(np.int8).tolist()
unique_label = unique_label.astype(np.int16).tolist()

label_substats = [] # each element is one label
pixel_sum = 0
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