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Correcting bug for SemanticKitti.py when using multiple frames

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HuguesTHOMAS 2021-05-12 14:10:38 -04:00
parent 9a491475b5
commit 1cd3742fc5
1 changed files with 1 additions and 1 deletions
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datasets/SemanticKitti.py
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@ -769,7 +769,7 @@ class SemanticKittiSampler(Sampler):
_, class_indices = torch.topk(class_potentials, class_n, largest=False) _, class_indices = torch.topk(class_potentials, class_n, largest=False)
else: else:
class_indices = torch.zeros((0,), dtype=torch.int32) class_indices = torch.zeros((0,), dtype=torch.int32)
while class_indices.shape < class_n: while class_indices.shape[0] < class_n:
new_class_inds = torch.randperm(class_potentials.shape[0]) new_class_inds = torch.randperm(class_potentials.shape[0])
class_indices = torch.cat((class_indices, new_class_inds), dim=0) class_indices = torch.cat((class_indices, new_class_inds), dim=0)
class_indices = class_indices[:class_n] class_indices = class_indices[:class_n]