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Throw exception on invalid images in retinanet detector #8515

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Merged
merged 2 commits into from
Jul 31, 2025
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Merged

Throw exception on invalid images in retinanet detector #8515

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Throw exception on invalid images in retinanet detector
emmanuel-ferdman Jul 19, 2025
2f0964c
Merge branch 'dev' into dev
KumoLiu Jul 31, 2025
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4 changes: 2 additions & 2 deletions monai/apps/detection/networks/retinanet_detector.py
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Original file line number Diff line number Diff line change
Expand Up @@ -357,7 +357,7 @@ def set_atss_matcher(self, num_candidates: int = 4, center_in_gt: bool = False)
num_candidates: number of positions to select candidates from.
Smaller value will result in a higher matcher threshold and less matched candidates.
center_in_gt: If False (default), matched anchor center points do not need
to lie withing the ground truth box. Recommend False for small objects.
to lie within the ground truth box. Recommend False for small objects.
If True, will result in a strict matcher and less matched candidates.
"""
self.proposal_matcher = ATSSMatcher(num_candidates, self.box_overlap_metric, center_in_gt, debug=self.debug)
Expand Down Expand Up @@ -611,7 +611,7 @@ def _reshape_maps(self, result_maps: list[Tensor]) -> Tensor:
elif self.spatial_dims == 3:
reshaped_result_map = reshaped_result_map.permute(0, 3, 4, 5, 1, 2)
else:
ValueError("Images can only be 2D or 3D.")
raise ValueError("Images can only be 2D or 3D.")

# reshaped_result_map will become (B, HWA, num_channel) or (B, HWDA, num_channel)
reshaped_result_map = reshaped_result_map.reshape(batch_size, -1, num_channel)
Expand Down
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