| from ultralytics.models.yolo.detect import DetectionTrainer | |
| from .val import YOLOv10DetectionValidator | |
| from .model import YOLOv10DetectionModel | |
| from copy import copy | |
| from ultralytics.utils import RANK | |
| class YOLOv10DetectionTrainer(DetectionTrainer): | |
| def get_validator(self): | |
| """Returns a DetectionValidator for YOLO model validation.""" | |
| self.loss_names = "box_om", "cls_om", "dfl_om", "box_oo", "cls_oo", "dfl_oo", | |
| return YOLOv10DetectionValidator( | |
| self.test_loader, save_dir=self.save_dir, args=copy(self.args), _callbacks=self.callbacks | |
| ) | |
| def get_model(self, cfg=None, weights=None, verbose=True): | |
| """Return a YOLO detection model.""" | |
| model = YOLOv10DetectionModel(cfg, nc=self.data["nc"], verbose=verbose and RANK == -1) | |
| if weights: | |
| model.load(weights) | |
| return model | |