diff --git a/tests/test_cnn.py b/tests/test_cnn.py
index 070ec35..a074d5e 100644
--- a/tests/test_cnn.py
+++ b/tests/test_cnn.py
@@ -8,6 +8,7 @@
 import torch
 from PIL import Image
 import pytest
+import warnings
 from torchvision.transforms import transforms
 
 from imagededup.methods.cnn import CNN
@@ -891,7 +892,8 @@ def test_find_duplicates_encoding_integration(cnn):
     }
 
     encodings = cnn.encode_images(TEST_IMAGE_DIR_MIXED)
-    with pytest.warns(None):
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
         duplicates = cnn.find_duplicates(
             encoding_map=encodings, min_similarity_threshold=0.9, scores=True, outfile=False
         )
diff --git a/tests/test_hashing.py b/tests/test_hashing.py
index d7409ca..3e38210 100644
--- a/tests/test_hashing.py
+++ b/tests/test_hashing.py
@@ -5,6 +5,7 @@
 
 from multiprocessing import cpu_count
 import pytest
+import warnings
 import numpy as np
 
 from imagededup.methods.hashing import Hashing, PHash, DHash, AHash, WHash
@@ -800,7 +801,8 @@ def test_find_duplicates_encoding_map_input():
         'ukbench09268.jpg': 'c73c36c2da2f29c9',
     }
     phasher = PHash()
-    with pytest.warns(None):
+    with warnings.catch_warnings():
+        warnings.simplefilter("ignore")
         duplicate_dict = phasher.find_duplicates(
             encoding_map=encoding, max_distance_threshold=10
         )