ó œþöh ãó@•SSKrSSKJr SSKJr S/r"SS\5rg)éN)ÚDetectionValidator)ÚopsÚ NASValidatorcó,^•\rSrSrSrU4SjrSrU=r$)ré a[ Ultralytics YOLO NAS Validator for object detection. Extends DetectionValidator from the Ultralytics models package and is designed to post-process the raw predictions generated by YOLO NAS models. It performs non-maximum suppression to remove overlapping and low-confidence boxes, ultimately producing the final detections. Attributes: args (Namespace): Namespace containing various configurations for post-processing, such as confidence and IoU thresholds. lb (torch.Tensor): Optional tensor for multilabel NMS. Examples: >>> from ultralytics import NAS >>> model = NAS("yolo_nas_s") >>> validator = model.validator >>> # Assumes that raw_preds are available >>> final_preds = validator.postprocess(raw_preds) Notes: This class is generally not instantiated directly but is used internally within the NAS class. có¸>•[R"USS5n[R"X!SS4S5R SSS5n[ TU]U5$)z4Apply Non-maximum suppression to prediction outputs.rééÿÿÿÿé)rÚ xyxy2xywhÚtorchÚcatÚpermuteÚsuperÚ postprocess)ÚselfÚpreds_inÚboxesÚpredsÚ __class__s €ÚT/home/james-whalen/.local/lib/python3.13/site-packages/ultralytics/models/nas/val.pyrÚNASValidator.postprocess#sSø€ä— ’ ˜h q™k¨!™nÓ-ˆÜ— ’ ˜5¨1¡+¨a¡.Ð1°2Ó6×>Ñ>¸qÀ!ÀQÓGˆÜ‰wÑ" 5Ó)Ð)ó©)Ú__name__Ú __module__Ú __qualname__Ú__firstlineno__Ú__doc__rÚ__static_attributes__Ú __classcell__)rs@rrr sø†ñ÷.*ó*r)r Úultralytics.models.yolo.detectrÚultralytics.utilsrÚ__all__rrrrÚr%s%ðó å=Ý!à Ð €ô*Ð%õ*r