fix predict with class filter

ultralytics/models/yolov10/predict.py

@@ -21,7 +21,9 @@ class YOLOv10DetectionPredictor(DetectionPredictor):
             preds = torch.cat([bboxes, scores.unsqueeze(-1), labels.unsqueeze(-1)], dim=-1)
 
         mask = preds[..., 4] > self.args.conf
-
+        if self.args.classes is not None:
+            mask = mask & (preds[..., 5:6] == torch.tensor(self.args.classes, device=preds.device).unsqueeze(0)).any(2)
+        
         preds = [p[mask[idx]] for idx, p in enumerate(preds)]
 
         if not isinstance(orig_imgs, list):  # input images are a torch.Tensor, not a list