diff --git a/src/face3d/models/arcface_torch/torch2onnx.py b/src/face3d/models/arcface_torch/torch2onnx.py
index fc26ab82..49884a92 100644
--- a/src/face3d/models/arcface_torch/torch2onnx.py
+++ b/src/face3d/models/arcface_torch/torch2onnx.py
@@ -6,7 +6,7 @@
 def convert_onnx(net, path_module, output, opset=11, simplify=False):
     assert isinstance(net, torch.nn.Module)
     img = np.random.randint(0, 255, size=(112, 112, 3), dtype=np.int32)
-    img = img.astype(np.float)
+    img = img.astype(np.float64)
     img = (img / 255. - 0.5) / 0.5  # torch style norm
     img = img.transpose((2, 0, 1))
     img = torch.from_numpy(img).unsqueeze(0).float()
diff --git a/src/face3d/util/my_awing_arch.py b/src/face3d/util/my_awing_arch.py
index cd565617..647fa111 100644
--- a/src/face3d/util/my_awing_arch.py
+++ b/src/face3d/util/my_awing_arch.py
@@ -15,7 +15,7 @@ def calculate_points(heatmaps):
     indexes = np.argmax(heatline, axis=2)
 
     preds = np.stack((indexes % W, indexes // W), axis=2)
-    preds = preds.astype(np.float, copy=False)
+    preds = preds.astype(np.float64, copy=False)
 
     inr = indexes.ravel()
 
diff --git a/src/face3d/util/preprocess.py b/src/face3d/util/preprocess.py
index b77a3a40..48823425 100644
--- a/src/face3d/util/preprocess.py
+++ b/src/face3d/util/preprocess.py
@@ -9,7 +9,6 @@
 from skimage import transform as trans
 import torch
 import warnings
-warnings.filterwarnings("ignore", category=np.VisibleDeprecationWarning) 
 warnings.filterwarnings("ignore", category=FutureWarning) 
 
 
@@ -98,6 +97,7 @@ def align_img(img, lm, lm3D, mask=None, target_size=224., rescale_factor=102.):
 
     # processing the image
     img_new, lm_new, mask_new = resize_n_crop_img(img, lm, t, s, target_size=target_size, mask=mask)
-    trans_params = np.array([w0, h0, s, t[0], t[1]])
+    #trans_params = np.array([w0, h0, s, t[0], t[1]])
+    trans_params = np.array([float(w0), float(h0), float(s), float(t[0]), float(t[1])])
 
     return trans_params, img_new, lm_new, mask_new