ó œþöhôãóf•SrSSKJr SSKJr SSKJr SSKJr SSK J r SSK J r "S S \5r g ) ag Interface for Baidu's RT-DETR, a Vision Transformer-based real-time object detector. RT-DETR offers real-time performance and high accuracy, excelling in accelerated backends like CUDA with TensorRT. It features an efficient hybrid encoder and IoU-aware query selection for enhanced detection accuracy. References: https://arxiv.org/pdf/2304.08069.pdf é)ÚModel)ÚRTDETRDetectionModel)Ú TORCH_1_11é)ÚRTDETRPredictor)Ú RTDETRTrainer)ÚRTDETRValidatorcóT^•\rSrSrSrS S\SS4U4Sjjjr\S\4Sj5r Sr U=r $) ÚRTDETRéaW Interface for Baidu's RT-DETR model, a Vision Transformer-based real-time object detector. This model provides real-time performance with high accuracy. It supports efficient hybrid encoding, IoU-aware query selection, and adaptable inference speed. Attributes: model (str): Path to the pre-trained model. Methods: task_map: Return a task map for RT-DETR, associating tasks with corresponding Ultralytics classes. Examples: Initialize RT-DETR with a pre-trained model >>> from ultralytics import RTDETR >>> model = RTDETR("rtdetr-l.pt") >>> results = model("image.jpg") ÚmodelÚreturnNcóF>•[(dS5e[TU] USS9 g)z£ Initialize the RT-DETR model with the given pre-trained model file. Args: model (str): Path to the pre-trained model. Supports .pt, .yaml, and .yml formats. zRTDETR requires torch>=1.11Údetect)r ÚtaskN)rÚsuperÚ__init__)Úselfr Ú __class__s €ÚY/home/james-whalen/.local/lib/python3.13/site-packages/ultralytics/models/rtdetr/model.pyrÚRTDETR.__init__)s'ø€÷ŠzÐ8Ð8Ó8ˆzÜ ‰Ñ˜u¨8ÐÒ4ócó4•S[[[[S.0$)zà Return a task map for RT-DETR, associating tasks with corresponding Ultralytics classes. Returns: (dict): A dictionary mapping task names to Ultralytics task classes for the RT-DETR model. r)Ú predictorÚ validatorÚtrainerr )rr rr)rs rÚtask_mapÚRTDETR.task_map3s"€ð Ü,Ü,Ü(Ü-ñ ð ð r©)z rtdetr-l.pt) Ú__name__Ú __module__Ú __qualname__Ú__firstlineno__Ú__doc__ÚstrrÚpropertyÚdictrÚ__static_attributes__Ú __classcell__)rs@rr r s;ø†ññ&5˜cð5°d÷5ð5ðð ˜$ó óö rr N)r$Úultralytics.engine.modelrÚultralytics.nn.tasksrÚultralytics.utils.torch_utilsrÚpredictrÚtrainrÚvalr r rrrÚr0s*ðñõ+Ý5Ý4å$Ý Ý ô- ˆUõ- r