Use classmethod

sam2/sam2_image_predictor.py

@@ -62,7 +62,8 @@ class SAM2ImagePredictor:
             (64, 64),
         ]
 
-    def from_pretrained(model_id: str, **kwargs) -> "SAM2ImagePredictor":
+    @classmethod
+    def from_pretrained(cls, model_id: str, **kwargs) -> "SAM2ImagePredictor":
         """
         Load a pretrained model from the Hugging Face model hub.
 
@@ -74,7 +75,7 @@ class SAM2ImagePredictor:
           (SAM2ImagePredictor): The loaded model.
         """
         sam_model = build_sam2_hf(model_id, **kwargs)
-        return SAM2ImagePredictor(sam_model)
+        return cls(sam_model)
 
     @torch.no_grad()
     def set_image(