add yolo v10 and modify pipeline

ultralytics/models/yolo/detect/predict.py

@@ -22,12 +22,14 @@ class DetectionPredictor(BasePredictor):
 
     def postprocess(self, preds, img, orig_imgs):
         """Post-processes predictions and returns a list of Results objects."""
-        preds = ops.non_max_suppression(preds,
-                                        self.args.conf,
-                                        self.args.iou,
-                                        agnostic=self.args.agnostic_nms,
-                                        max_det=self.args.max_det,
-                                        classes=self.args.classes)
+        preds = ops.non_max_suppression(
+            preds,
+            self.args.conf,
+            self.args.iou,
+            agnostic=self.args.agnostic_nms,
+            max_det=self.args.max_det,
+            classes=self.args.classes,
+        )
 
         if not isinstance(orig_imgs, list):  # input images are a torch.Tensor, not a list
             orig_imgs = ops.convert_torch2numpy_batch(orig_imgs)