|hH JddlZddlmZddlmZddlmZmZGddeZy)N)Results)DetectionPredictor) DEFAULT_CFGopsc0eZdZdZeddffd ZdZxZS) OBBPredictora A class extending the DetectionPredictor class for prediction based on an Oriented Bounding Box (OBB) model. This predictor handles oriented bounding box detection tasks, processing images and returning results with rotated bounding boxes. Attributes: args (namespace): Configuration arguments for the predictor. model (torch.nn.Module): The loaded YOLO OBB model. Examples: >>> from ultralytics.utils import ASSETS >>> from ultralytics.models.yolo.obb import OBBPredictor >>> args = dict(model="yolo11n-obb.pt", source=ASSETS) >>> predictor = OBBPredictor(overrides=args) >>> predictor.predict_cli() NcJt||||d|j_y)a Initialize OBBPredictor with optional model and data configuration overrides. Args: cfg (dict, optional): Default configuration for the predictor. overrides (dict, optional): Configuration overrides that take precedence over the default config. _callbacks (list, optional): List of callback functions to be invoked during prediction. Examples: >>> from ultralytics.utils import ASSETS >>> from ultralytics.models.yolo.obb import OBBPredictor >>> args = dict(model="yolo11n-obb.pt", source=ASSETS) >>> predictor = OBBPredictor(overrides=args) obbN)super__init__argstask)selfcfg overrides _callbacks __class__s b/var/www/html/test/engine/venv/lib/python3.12/site-packages/ultralytics/models/yolo/obb/predict.pyr zOBBPredictor.__init__s! i4 c tjtj|ddddf|ddddfgd}tj|j dd|ddddf|j d|ddddf<tj||ddddfgd}t |||jj| S) a Construct the result object from the prediction. Args: pred (torch.Tensor): The predicted bounding boxes, scores, and rotation angles with shape (N, 7) where the last dimension contains [x, y, w, h, confidence, class_id, angle]. img (torch.Tensor): The image after preprocessing with shape (B, C, H, W). orig_img (np.ndarray): The original image before preprocessing. img_path (str): The path to the original image. Returns: (Results): The result object containing the original image, image path, class names, and oriented bounding boxes. N)dimT)xywh)pathnamesr ) rregularize_rboxestorchcat scale_boxesshapermodelr)rpredimgorig_imgimg_pathrboxesr s rconstruct_resultzOBBPredictor.construct_result/s&&uyy$q"1"u+tArsF|1LRT'UV !" va!e}hnn[_`q"1"u iia1f.B7xhdjj6F6FCPPr)__name__ __module__ __qualname____doc__rr r* __classcell__)rs@rrr s$'$4$Qrr) r ultralytics.engine.resultsr&ultralytics.models.yolo.detect.predictrultralytics.utilsrrrrrr4s" .E.7Q%7Qr