回传数据解析，兼容v5和v10

ultralytics/models/yolov10/model.py

@@ -0,0 +1,36 @@
+from ultralytics.engine.model import Model
+from ultralytics.nn.tasks import YOLOv10DetectionModel
+from .val import YOLOv10DetectionValidator
+from .predict import YOLOv10DetectionPredictor
+from .train import YOLOv10DetectionTrainer
+
+from huggingface_hub import PyTorchModelHubMixin
+from .card import card_template_text
+
+class YOLOv10(Model, PyTorchModelHubMixin, model_card_template=card_template_text):
+
+    def __init__(self, model="yolov10n.pt", task=None, verbose=False, 
+                 names=None):
+        super().__init__(model=model, task=task, verbose=verbose)
+        if names is not None:
+            setattr(self.model, 'names', names)
+
+    def push_to_hub(self, repo_name, **kwargs):
+        config = kwargs.get('config', {})
+        config['names'] = self.names
+        config['model'] = self.model.yaml['yaml_file']
+        config['task'] = self.task
+        kwargs['config'] = config
+        super().push_to_hub(repo_name, **kwargs)
+
+    @property
+    def task_map(self):
+        """Map head to model, trainer, validator, and predictor classes."""
+        return {
+            "detect": {
+                "model": YOLOv10DetectionModel,
+                "trainer": YOLOv10DetectionTrainer,
+                "validator": YOLOv10DetectionValidator,
+                "predictor": YOLOv10DetectionPredictor,
+            },
+        }