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ultralytics/solutions/action_recognition.py

@@ -1,7 +1,7 @@
 # Ultralytics YOLO 🚀, AGPL-3.0 license
 
 from collections import defaultdict
-from typing import List, Optional, Tuple
+from typing import List, Tuple
 
 import cv2
 import numpy as np
@@ -45,7 +45,7 @@ class ActionRecognition:
         )
 
         self.device = select_device(device)
-        self.fp16 = torch.cuda.is_available() and torch.cuda.is_bf16_supported() and 'cuda' in self.device
+        self.fp16 = torch.cuda.is_available() and torch.cuda.is_bf16_supported() and "cuda" in self.device
 
         # Check if environment supports imshow
         self.env_check = check_imshow(warn=True)
@@ -58,7 +58,7 @@ class ActionRecognition:
             self.video_classifier = TorchVisionVideoClassifier(video_classifier_model, device=self.device)
         else:
             self.video_classifier = HuggingFaceVideoClassifier(
-                self.labels, model_name=video_classifier_model, device=self.device, fp16= self.fp16
+                self.labels, model_name=video_classifier_model, device=self.device, fp16=self.fp16
             )
 
         self.track_history = defaultdict(list)

ultralytics/utils/__init__.py

@@ -1280,7 +1280,6 @@ def crop_and_pad(frame, box, margin_percent):
     return cv2.resize(square_crop, (224, 224), interpolation=cv2.INTER_LINEAR)
 
 
-
 # Run below code on utils init ------------------------------------------------------------------------------------
 
 # Check first-install steps