Fix dependencies

Signed-off-by: Beat Buesser <[email protected]>

Author: beat-buesser

tests/attacks/evasion/test_overload_attack.py

@@ -32,7 +32,6 @@ def test_generate(art_warning):
     try:
         import torch
         from ultralytics import YOLO
-        from ultralytics.nn.tasks import DetectionModel
 
         torch.serialization.add_safe_globals([torch.nn.modules.container.Sequential])
 
@@ -68,13 +67,11 @@ def test_generate(art_warning):
 def test_check_params(art_warning):
     try:
         import torch
-        from torch.serialization import add_safe_globals
         from ultralytics import YOLO
-        from ultralytics.nn.tasks import DetectionModel
 
-        add_safe_globals([DetectionModel])
+        torch.serialization.add_safe_globals([torch.nn.modules.container.Sequential])
 
-        model = YOLO("yolov5s.pt")
+        model = YOLO("yolov5su.pt")
         py_model = PyTorchYolo(model=model, input_shape=(3, 640, 640), channels_first=True)
 
         with pytest.raises(ValueError):

tests/attacks/evasion/test_steal_now_attack_later.py

@@ -35,7 +35,6 @@ def test_generate(art_warning):
         import torch
         import requests
         from ultralytics import YOLO
-        from ultralytics.nn.tasks import DetectionModel
 
         torch.serialization.add_safe_globals([torch.nn.modules.container.Sequential])
 
@@ -198,8 +197,12 @@ def test_check_params(art_warning):
     try:
         # The ultralytics package does not support Python versions earlier than 3.8.
         # To avoid an import error with the TF 1.x pipeline, it is imported only within the function scope.
+        import torch
+        import requests
         from ultralytics import YOLO
 
+        torch.serialization.add_safe_globals([torch.nn.modules.container.Sequential])
+
         model = YOLO("yolov8m")
         py_model = PyTorchYolo(model=model, input_shape=(3, 640, 640), channels_first=True, is_yolov8=True)