/jddlmZmZddlmZddlmZddlmZddlm Z m Z m Z ddl m Z Gdd e eZGd d eZGd d e eZGdde eZdS))copydeepcopy)SegmentationTrainer) YOLOESegModel)RANK) YOLOETrainerYOLOETrainerFromScratchYOLOEVPTrainer)YOLOESegValidatorc eZdZdZddZdZdS)YOLOESegTraineraTrainer class for YOLOE segmentation models. This class combines YOLOETrainer and SegmentationTrainer to provide training functionality specifically for YOLOE segmentation models, enabling both object detection and instance segmentation capabilities. Attributes: cfg (dict): Configuration dictionary with training parameters. overrides (dict): Dictionary with parameter overrides. _callbacks (dict): Dictionary of callback functions for training events. NTctt|tr|dn||jdt |jdd|o t dk}|r|||S)aReturn YOLOESegModel initialized with specified config and weights. Args: cfg (dict | str, optional): Model configuration dictionary or YAML file path. weights (str, optional): Path to pretrained weights file. verbose (bool): Whether to display model information. Returns: (YOLOESegModel): Initialized YOLOE segmentation model. yaml_filechannelsncPchrverbose)r isinstancedictdataminrload)selfcfgweightsrmodels l/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/ultralytics/models/yolo/yoloe/train_seg.py get_modelzYOLOESegTrainer.get_models~ *3 5 5 >C  3y$49T?B''*      JJw    cxd|_t|j|jt |j|jS)zCreate and return a validator for YOLOE segmentation model evaluation. Returns: (YOLOESegValidator): Validator for YOLOE segmentation models. )boxsegclsdfl)save_dirargs _callbacks) loss_namesr test_loaderr)rr* callbacks)rs r! get_validatorzYOLOESegTrainer.get_validator1s< 5  t}4 ??W[We    r#NNT)__name__ __module__ __qualname____doc__r"r/r#r!rr sA  0      r#rceZdZdZddZdS)YOLOEPESegTrainera~Fine-tune YOLOESeg model in linear probing way. This trainer specializes in fine-tuning YOLOESeg models using a linear probing approach, which involves freezing most of the model and only training specific layers for efficient adaptation to new tasks. Attributes: data (dict): Dataset configuration containing channels, class names, and number of classes. NTctt|tr|dn||jd|jd|o tdk}|jd`| Jd|r|||t|jd }| |}| |||jd |jt|jdjd d d |jdjd d <t|jdjd d d |jdjd d <t|jdjd d d |jdjd d <t%|jdd dt|jdjd d d |jdjd d <t|jdjd d d |jdjd d <t|jdjd d d |jdjd d <||S)aReturn YOLOESegModel initialized with specified config and weights for linear probing. Args: cfg (dict | str, optional): Model configuration dictionary or YAML file path. weights (str, optional): Path to pretrained weights file. verbose (bool): Whether to display model information. Returns: (YOLOESegModel): Initialized YOLOE segmentation model configured for linear probing. rrrrrNz7Pretrained weights must be provided for linear probing.namesrTr one2one_cv3)rrrrrr savperevallistvalues get_text_pe set_classesfusepercv3requires_grad_getattrr;train)rrrrr r9tpes r!r"zYOLOEPESegTrainer.get_modelGs *3 5 5 >C  3y$y*     KO !""$]"""  JJw    TYw'..0011&& %%%% BUX&&&$,U[_-@-CA-F$G$G$V$VW[$\$\ BAq!$,U[_-@-CA-F$G$G$V$VW[$\$\ BAq!$,U[_-@-CA-F$G$G$V$VW[$\$\ BAq! 5;r?M4 8 8 D08R9LQ9OPQ9R0S0S0b0bcg0h0hEKO ' *1 -08R9LQ9OPQ9R0S0S0b0bcg0h0hEKO ' *1 -08R9LQ9OPQ9R0S0S0b0bcg0h0hEKO ' *1 -  r#r0)r1r2r3r4r"r5r#r!r7r7=s2,,,,,,r#r7ceZdZdZdS)YOLOESegTrainerFromScratchzVTrainer for YOLOE segmentation models trained from scratch without pretrained weights.Nr1r2r3r4r5r#r!rJrJvs``Dr#rJceZdZdZdS)YOLOESegVPTrainerzKTrainer for YOLOE segmentation models with Vision Prompt (VP) capabilities.NrKr5r#r!rMrM|sUUDr#rMN)rrultralytics.models.yolo.segmentrultralytics.nn.tasksrultralytics.utilsrrGr r r valr rr7rJrMr5r#r!rRsC ??????......""""""HHHHHHHHHH""""""- - - - - l$7- - - `66666+666r     !8/        (B     r#