§ ‚ŠtjßãóF—ddlmZddlmZerddlZGd„de¦«ZdS)é)Ú TYPE_CHECKINGé)Ú BatchFeatureNcó(—eZdZUdZded<ded<dS)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__©óúc/var/www/html/CA-Chatbot/venv/lib/python3.11/site-packages/transformers/image_processing_outputs.pyrrs6€€€€€€ð ð ð!Ð Ð Ñ Ø.Ð.Ð.Ñ.Ð.Ð.rr)ÚtypingrÚimage_processing_baserÚtorchrrrrúrsrðð!Ð Ð Ð Ð Ð à/Ð/Ð/Ð/Ð/Ð/ððØ€L€L€Lð/ð/ð/ð/ð/¨lñ/ô/ð/ð/ð/r