回传数据解析，兼容v5和v10

ultralytics/models/yolov10/train.py

@@ -0,0 +1,20 @@
+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