Ë ÛÓ^jßãó>—ddlmZddlmZerddlZGd„de«Zy)é)Ú TYPE_CHECKINGé)Ú BatchFeatureNcó&—eZdZUdZded<ded<y)Ú'SemanticSegmentationPostProcessorOutputao Output of a semantic segmentation post-processing step. Attributes: segmentation (`torch.LongTensor` of shape `(height, width)`): Predicted class label for each pixel. Height and width match ``target_sizes`` when provided, otherwise the model's native logit size. segmentation_scores (`torch.FloatTensor` of shape `(num_labels, height, width)`): Raw classification scores for each class at every pixel position. Height and width are the same as for ``segmentation``. May be `None` in cases where per-class scores are not available. z torch.TensorÚ segmentationztorch.Tensor | NoneÚsegmentation_scoresN)Ú__name__Ú __module__Ú __qualname__Ú__doc__Ú__annotations__©óúp/var/www/ramen.bs-engineer-server.com/venv/lib/python3.12/site-packages/transformers/image_processing_outputs.pyrrs…ñ ð!Ó Ø.Ô.rr)ÚtypingrÚimage_processing_baserÚtorchrrrrúrs!ðõ!å/ñÛô/¨lõ/r