hRSSKrSSKJr SSKJr SSKJr SSKJr "SS\5r g)N) LetterBox) BasePredictor)Results)opsc$\rSrSrSrSrSrSrg)RTDETRPredictor a RT-DETR (Real-Time Detection Transformer) Predictor extending the BasePredictor class for making predictions. This class leverages Vision Transformers to provide real-time object detection while maintaining high accuracy. It supports key features like efficient hybrid encoding and IoU-aware query selection. Attributes: imgsz (int): Image size for inference (must be square and scale-filled). args (dict): Argument overrides for the predictor. model (torch.nn.Module): The loaded RT-DETR model. batch (list): Current batch of processed inputs. Methods: postprocess: Postprocess raw model predictions to generate bounding boxes and confidence scores. pre_transform: Pre-transform input images before feeding them into the model for inference. Examples: >>> from ultralytics.utils import ASSETS >>> from ultralytics.models.rtdetr import RTDETRPredictor >>> args = dict(model="rtdetr-l.pt", source=ASSETS) >>> predictor = RTDETRPredictor(overrides=args) >>> predictor.predict_cli() c [U[[45(dUS/nUSRSnUSR SUS- 4SS9upV[U[5(d[ R "U5n/n[XVX0RS5GHaupp[ R"U5nU RSSS9upU RS5URR:nURRbHU [R "URRU R"S9:HR%S 5U-n[R&"XU /SS9UnXSS2S4R)SS 9SURR*nU RSS unnUS SS /4==U-ss'US S S /4==U-ss'UR-[/XUR0R2US95 GMd U$)a Postprocess the raw predictions from the model to generate bounding boxes and confidence scores. The method filters detections based on confidence and class if specified in `self.args`. It converts model predictions to Results objects containing properly scaled bounding boxes. Args: preds (list | tuple): List of [predictions, extra] from the model, where predictions contain bounding boxes and scores. img (torch.Tensor): Processed input images with shape (N, 3, H, W). orig_imgs (list | torch.Tensor): Original, unprocessed images. Returns: results (list[Results]): A list of Results objects containing the post-processed bounding boxes, confidence scores, and class labels. Nr)dimT)keepdim)device) descending.)pathnamesboxes) isinstancelisttupleshapesplitrconvert_torch2numpy_batchzipbatch xywh2xyxymaxsqueezeargsconfclassestorchtensorranycatargsortmax_detappendrmodelr)selfpredsimg orig_imgsndbboxesscoresresultsbboxscoreorig_imgimg_path max_scoreclsidxpredohows [/home/james-whalen/.local/lib/python3.13/site-packages/ultralytics/models/rtdetr/predict.py postprocessRTDETRPredictor.postprocess$s"%$//DME 1X^^B qBF <)T**55i@I/269jjYZm/\ +D==&D"YYr4Y8NI##B'$))..8Cyy  ,ell499+<+rXs$ .6.!Q0mQ0rB