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fix: handle empty inputs in OrientationPredictor #2069

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fix: handle empty inputs in OrientationPredictor #2069

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3 changes: 3 additions & 0 deletions doctr/models/classification/predictor/pytorch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -37,6 +37,9 @@ def forward(
self,
inputs: list[np.ndarray],
) -> list[list[int] | list[float]]:
if len(inputs) == 0:
return [[], [], []]

# Dimension check
if any(input.ndim != 3 for input in inputs):
raise ValueError("incorrect input shape: all inputs are expected to be multi-channel 2D images.")
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