diff --git a/modules/dnn/src/onnx/onnx_importer.cpp b/modules/dnn/src/onnx/onnx_importer.cpp
index 2b0d846721..682418bffa 100644
--- a/modules/dnn/src/onnx/onnx_importer.cpp
+++ b/modules/dnn/src/onnx/onnx_importer.cpp
@@ -806,6 +806,10 @@ void ONNXImporter::populateNet(Net dstNet)
         {
             layerParams.type = "ELU";
         }
+        else if (layer_type == "Tanh")
+        {
+            layerParams.type = "TanH";
+        }
         else if (layer_type == "PRelu")
         {
             layerParams.type = "PReLU";
diff --git a/samples/dnn/virtual_try_on.py b/samples/dnn/virtual_try_on.py
index bbc655a276..e4f2e518ec 100644
--- a/samples/dnn/virtual_try_on.py
+++ b/samples/dnn/virtual_try_on.py
@@ -185,7 +185,7 @@ class CpVton(object):
 
         agnostic = np.concatenate((res_shape, img_head, pose_map), axis=0)
         agnostic = np.expand_dims(agnostic, axis=0)
-        return agnostic
+        return agnostic.astype(np.float32)
 
     def get_warped_cloth(self, cloth_img, agnostic, height=256, width=192):
         cloth = cv.dnn.blobFromImage(cloth_img, 1.0 / 127.5, (width, height), mean=(127.5, 127.5, 127.5), swapRB=True)