§ —/j+ãó:—ddlmZddlmZGd„de¦«ZdS)é)Ú annotations)ÚSegmentationValidatorcó&‡—eZdZdZddˆfd„ ZˆxZS)ÚFastSAMValidatora·Custom validation class for FastSAM (Segment Anything Model) segmentation in the Ultralytics YOLO framework. Extends the SegmentationValidator class, customizing the validation process specifically for FastSAM. This class sets the task to 'segment' and uses the SegmentMetrics for evaluation. Additionally, plotting features are disabled to avoid errors during validation. Attributes: dataloader (torch.utils.data.DataLoader): The data loader object used for validation. save_dir (Path): The directory where validation results will be saved. args (SimpleNamespace): Additional arguments for customization of the validation process. _callbacks (dict): Dictionary of callback functions to be invoked during validation. metrics (SegmentMetrics): Segmentation metrics calculator for evaluation. Methods: __init__: Initialize the FastSAMValidator with custom settings for FastSAM. NÚ _callbacksú dict | Nonec󀕗t¦« ||||¦«d|j_d|j_dS)aYInitialize the FastSAMValidator class, setting the task to 'segment' and metrics to SegmentMetrics. Args: dataloader (torch.utils.data.DataLoader, optional): DataLoader to be used for validation. save_dir (Path, optional): Directory to save results. args (SimpleNamespace, optional): Configuration for the validator. _callbacks (dict, optional): Dictionary of callback functions to be invoked during validation. Notes: Plots for ConfusionMatrix and other related metrics are disabled in this class to avoid errors. ÚsegmentFN)ÚsuperÚ__init__ÚargsÚtaskÚplots)ÚselfÚ dataloaderÚsave_dirr rÚ __class__s €úc/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/ultralytics/models/fastsam/val.pyr zFastSAMValidator.__init__s9ø€õ ‰Œ×Ò˜ X¨t°ZÑ@Ô@Ð@Ø"ˆŒ ŒØˆŒ Œˆˆó)NNNN)rr)Ú__name__Ú __module__Ú __qualname__Ú__doc__r Ú __classcell__)rs@rrrsLø€€€€€ððð" ð ð ð ð ð ð ð ð ð ð rrN)Ú __future__rÚultralytics.models.yolo.segmentrr©rrúrs`ðð#Ð"Ð"Ð"Ð"Ð"àAÐAÐAÐAÐAÐAð  ð  ð  ð  ð  Ð,ñ  ô  ð  ð  ð  r