diff --git a/plugins/ncnn/package-lock.json b/plugins/ncnn/package-lock.json
index 8d9455e74..311ed9bf9 100644
--- a/plugins/ncnn/package-lock.json
+++ b/plugins/ncnn/package-lock.json
@@ -1,12 +1,12 @@
 {
    "name": "@scrypted/ncnn",
-   "version": "0.1.89",
+   "version": "0.1.91",
    "lockfileVersion": 2,
    "requires": true,
    "packages": {
       "": {
          "name": "@scrypted/ncnn",
-         "version": "0.1.89",
+         "version": "0.1.91",
          "devDependencies": {
             "@scrypted/sdk": "file:../../sdk"
          }
diff --git a/plugins/ncnn/package.json b/plugins/ncnn/package.json
index 9031734fa..6fccc61a8 100644
--- a/plugins/ncnn/package.json
+++ b/plugins/ncnn/package.json
@@ -50,5 +50,5 @@
    "devDependencies": {
       "@scrypted/sdk": "file:../../sdk"
    },
-   "version": "0.1.89"
+   "version": "0.1.91"
 }
diff --git a/plugins/ncnn/src/nc/face_recognition.py b/plugins/ncnn/src/nc/face_recognition.py
index fcc8d4c29..614497d09 100644
--- a/plugins/ncnn/src/nc/face_recognition.py
+++ b/plugins/ncnn/src/nc/face_recognition.py
@@ -23,7 +23,7 @@ class NCNNFaceRecognition(FaceRecognizeDetection):
 
     def downloadModel(self, model: str):
         scrypted_yolov9 = "scrypted_yolov9" in model
-        ncnnmodel = "best_converted" if scrypted_yolov9 else "best"
+        ncnnmodel = "best_converted" if scrypted_yolov9 else model
         model_path = self.downloadHuggingFaceModelLocalFallback(model)
         binFile = os.path.join(model_path, f"{ncnnmodel}.ncnn.bin")
         paramFile = os.path.join(model_path, f"{ncnnmodel}.ncnn.param")
diff --git a/plugins/openvino/src/predict/face_recognize.py b/plugins/openvino/src/predict/face_recognize.py
index 495de4e3f..d90b25e00 100644
--- a/plugins/openvino/src/predict/face_recognize.py
+++ b/plugins/openvino/src/predict/face_recognize.py
@@ -35,8 +35,12 @@ class FaceRecognizeDetection(PredictPlugin):
         self.loop = asyncio.get_event_loop()
         self.minThreshold = 0.5
 
-        self.detectModel = self.downloadModel("scrypted_yolov9t_relu_face")
-        self.faceModel = self.downloadModel("inception_resnet_v1")
+        try:
+            self.detectModel = self.downloadModel("scrypted_yolov9t_relu_face")
+            self.faceModel = self.downloadModel("inception_resnet_v1")
+        except Exception:
+            traceback.print_exc()
+            raise
 
     def downloadModel(self, model: str):
         pass