Sync nnUNet robustness updates to cchmc app from seg_metrics_op

examples/apps/cchmc_nnunet_fifteen_ckpt_app/convert_nnunet_ckpts.py

@@ -23,19 +23,25 @@
 if current_dir not in sys.path:
     sys.path.insert(0, current_dir)
 
-# Try importing from local apps.nnunet_bundle instead of from MONAI
-try:
-    from my_app.nnunet_bundle import convert_best_nnunet_to_monai_bundle
-except ImportError:
-    # If local import fails, try to find the module in alternate locations
+
+def _import_converter():
+    """Deferred import so nnunetv2 is loaded AFTER nnUNet_results env var is set,
+    preventing nnunetv2.paths from caching a None value for nnUNet_results."""
+    try:
+        from my_app.nnunet_bundle import convert_best_nnunet_to_monai_bundle
+
+        return convert_best_nnunet_to_monai_bundle
+    except ImportError:
+        pass
     try:
         from monai.apps.nnunet_bundle import convert_best_nnunet_to_monai_bundle
+
+        return convert_best_nnunet_to_monai_bundle
     except ImportError:
-        print(
-            "Error: Could not import convert_best_nnunet_to_monai_bundle from my_app.nnunet_bundle or apps.nnunet_bundle"
-        )
-        print("Please ensure that nnunet_bundle.py is properly installed in your project.")
-        sys.exit(1)
+        pass
+    print("Error: Could not import convert_best_nnunet_to_monai_bundle from my_app.nnunet_bundle or apps.nnunet_bundle")
+    print("Please ensure that nnunet_bundle.py is properly installed in your project.")
+    sys.exit(1)
 
 
 def parse_args():
@@ -57,6 +63,15 @@ def parse_args():
         default=None,
         help="Path to nnUNet results directory with trained models.",
     )
+    parser.add_argument(
+        "--checkpoint_type",
+        type=str,
+        default="final",
+        choices=["final", "best", "both"],
+        help="Which nnUNet checkpoint(s) to convert: 'final' (default) saves checkpoint_final.pth weights as "
+        "final_model.pt; 'best' saves checkpoint_best.pth weights as best_model.pt; "
+        "'both' saves checkpoint_final.pth as final_model.pt and checkpoint_best.pth as best_model.pt.",
+    )
     return parser.parse_args()
 
 
@@ -90,9 +105,12 @@ def main():
     print(f"MAP will be created at: {map_root}")
     print(f"  nnUNet_results: {os.environ.get('nnUNet_results')}")
 
+    # Import AFTER env vars are set so nnunetv2.paths caches the correct nnUNet_results value
+    convert_best_nnunet_to_monai_bundle = _import_converter()
+
     # Convert the nnUNet checkpoints to MONAI bundle format
     try:
-        convert_best_nnunet_to_monai_bundle(nnunet_config, map_root)
+        convert_best_nnunet_to_monai_bundle(nnunet_config, map_root, checkpoint_type=args.checkpoint_type)
         print(f"Successfully converted nnUNet checkpoints to MONAI bundle at: {map_root}/models")
     except Exception as e:
         print(f"Error converting nnUNet checkpoints: {e}")