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@ -795,7 +795,7 @@ class SemanticKittiSampler(Sampler):
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error_message += '{:>15s} {:>15s}\n'.format('Class', '# of frames')
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for iii, ccc in enumerate(self.dataset.label_values):
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error_message += '{:>15s} {:>15d}\n'.format(self.dataset.label_names[iii], len(self.dataset.class_frames[iii]))
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error_message = '\nThis error is raised if one of the classes is not ignored and does not appear in any of the frames of the dataset.\n'
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error_message += '\nThis error is raised if one of the classes is not ignored and does not appear in any of the frames of the dataset.\n'
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raise ValueError(error_message)
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# Stack the chosen indices of all classes
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