/j)ZddlZddlmZddlmZddlmZddlmZGddeZ dS)N) LetterBox) BasePredictor)Results)opsceZdZdZdZdZdS)RTDETRPredictoraHRT-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 *t|ttfs|dg}|djd}|dd|dz fd\}}t|tst j|ddddf}g}t||||jdD]e\}} } } t j |}| dd\} } | d|j j k}|j j?| tj|j j| j kd |z}tj|| | gd|}||dddfd d|j j}| jdd \}}|ddd gfxx|zcc<|dd d gfxx|zcc<|t/| | |jj|g|S)aPostprocess 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: (list[Results]): A list of Results objects containing the post-processed bounding boxes, confidence scores, and class labels. Nr)dim.T)keepdim)device) descending)pathnamesboxes) isinstancelisttupleshapesplitrconvert_torch2numpy_batchzipbatch xywh2xyxymaxsqueezeargsconfclassestorchtensorranycatargsortmax_detappendrmodelr)selfpredsimg orig_imgsndbboxesscoresresultsbboxscoreorig_imgimg_path max_scoreclsidxpredohows f/home/longshao/multi-rider-rag/.venv/lib/python3.11/site-packages/ultralytics/models/rtdetr/predict.py postprocesszRTDETRPredictor.postprocess#s& %$// "DME 1X^B qBF <<)T** L5i@@dddKI/2669djYZm/\/\ a a +D%8=&&D"YYr4Y88NIs##B''$).8Cy ,el49+ z1RTDETRPredictor.pre_transform..Ws&///q """///r@)rimgsz)r,imrIs @r> pre_transformzRTDETRPredictor.pre_transformKs5djuFFF ////B////r@N)__name__ __module__ __qualname____doc__r?rMrFr@r>rr s=.&&&P 0 0 0 0 0r@r) r$ultralytics.data.augmentrultralytics.engine.predictorrultralytics.engine.resultsrultralytics.utilsrrrFr@r>rVs ......666666......!!!!!!L0L0L0L0L0mL0L0L0L0L0r@