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🐞 🛠 Bug fix in the inferencer #475

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merged 1 commit into from
Aug 2, 2022
Merged

🐞 🛠 Bug fix in the inferencer #475

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2 changes: 1 addition & 1 deletion anomalib/deploy/inferencers/torch_inferencer.py
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Original file line number Diff line number Diff line change
Expand Up @@ -143,7 +143,7 @@ def post_process(self, predictions: Tensor, meta_data: Optional[Union[Dict, Dict
meta_data = self.meta_data

if isinstance(predictions, Tensor):
anomaly_map = predictions.cpu().numpy()
anomaly_map = predictions.detach().cpu().numpy()
pred_score = anomaly_map.reshape(-1).max()
else:
# NOTE: Patchcore `forward`` returns heatmap and score.
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2 changes: 1 addition & 1 deletion anomalib/post_processing/normalization/min_max.py
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Expand Up @@ -29,7 +29,7 @@ def normalize(
) -> Union[np.ndarray, Tensor]:
"""Apply min-max normalization and shift the values such that the threshold value is centered at 0.5."""
normalized = ((targets - threshold) / (max_val - min_val)) + 0.5
if isinstance(targets, (np.ndarray, np.float32)):
if isinstance(targets, (np.ndarray, np.float32, np.float64)):
normalized = np.minimum(normalized, 1)
normalized = np.maximum(normalized, 0)
elif isinstance(targets, Tensor):
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