demo custom mask

inference.py

@@ -32,6 +32,16 @@ STANDARD_12_LEAD_NAMES: tuple[str, ...] = (
 )
 
 
+def _is_git_lfs_pointer_file(path: Path) -> bool:
+    """True if ``path`` is a Git LFS stub (text pointer) instead of the real blob."""
+    try:
+        with path.open("r", encoding="ascii", errors="replace") as f:
+            head = f.read(128)
+    except OSError:
+        return False
+    return head.startswith("version https://git-lfs.github.com/spec/v1")
+
+
 def load_pipeline(
     checkpoint_path: str | Path,
     device: torch.device | str | None = None,
@@ -40,6 +50,12 @@ def load_pipeline(
     """Load ``MAEReconstructionPipeline`` weights from a training checkpoint dict."""
     checkpoint_path = Path(checkpoint_path)
     device = torch.device(device or ("cuda" if torch.cuda.is_available() else "cpu"))
+    if _is_git_lfs_pointer_file(checkpoint_path):
+        raise RuntimeError(
+            f"{checkpoint_path} is a Git LFS pointer file, not checkpoint bytes. "
+            "Install Git LFS if needed, then run: git lfs pull\n"
+            "Or place a real checkpoint .pt at this path (e.g. from runs/ after training)."
+        )
     ckpt = torch.load(checkpoint_path, map_location=device, weights_only=False)
     cfg = config or ckpt.get("config")
     if cfg is None: