diff --git a/adv_patch_gen/conv_visdrone_2_yolo/conv_visdrone_2_yolo_fmt.py b/adv_patch_gen/conv_visdrone_2_yolo/conv_visdrone_2_yolo_fmt.py
index 64ec3db81ffd..1bb5672dc121 100644
--- a/adv_patch_gen/conv_visdrone_2_yolo/conv_visdrone_2_yolo_fmt.py
+++ b/adv_patch_gen/conv_visdrone_2_yolo/conv_visdrone_2_yolo_fmt.py
@@ -4,14 +4,15 @@
 YOLOv7 requires an additional txt file (Same name as the first parent directory) with paths to the images for the train,
 val & test splits
 """
+
+import argparse
+import glob
 import os
 import os.path as osp
-import glob
-import argparse
 from typing import Optional
 
-import tqdm
 import imagesize
+import tqdm
 
 # VisDrone annot fmt
 # <bbox_left>, <bbox_top>, <bbox_width>, <bbox_height>, <score>, <object_category>, <truncation>, <occlusion>
diff --git a/adv_patch_gen/conv_visdrone_2_yolo/disp_visdrone.py b/adv_patch_gen/conv_visdrone_2_yolo/disp_visdrone.py
index c01e41f7a68a..ddd6387a8a3f 100644
--- a/adv_patch_gen/conv_visdrone_2_yolo/disp_visdrone.py
+++ b/adv_patch_gen/conv_visdrone_2_yolo/disp_visdrone.py
@@ -4,8 +4,8 @@
 sys.path.append(".")
 
 import cv2
-from adv_patch_gen.conv_visdrone_2_yolo.utils import get_annot_img_paths, load_visdrone_annots_as_np
 
+from adv_patch_gen.conv_visdrone_2_yolo.utils import get_annot_img_paths, load_visdrone_annots_as_np
 
 # visdrone dataset classes
 # ignore(0), pedestrian(1), people(2), bicycle(3),
diff --git a/adv_patch_gen/conv_visdrone_2_yolo/disp_yolo.py b/adv_patch_gen/conv_visdrone_2_yolo/disp_yolo.py
index 035e89cc6d3d..bd5c0bbc8009 100644
--- a/adv_patch_gen/conv_visdrone_2_yolo/disp_yolo.py
+++ b/adv_patch_gen/conv_visdrone_2_yolo/disp_yolo.py
@@ -4,8 +4,8 @@
 sys.path.append(".")
 
 import cv2
-from adv_patch_gen.conv_visdrone_2_yolo.utils import get_annot_img_paths, load_yolo_annots_as_np
 
+from adv_patch_gen.conv_visdrone_2_yolo.utils import get_annot_img_paths, load_yolo_annots_as_np
 
 # visdrone dataset classes
 # ignore(0), pedestrian(1), people(2), bicycle(3),
diff --git a/adv_patch_gen/conv_visdrone_2_yolo/utils.py b/adv_patch_gen/conv_visdrone_2_yolo/utils.py
index bd08a1e48cf3..70ac84ea4b6a 100644
--- a/adv_patch_gen/conv_visdrone_2_yolo/utils.py
+++ b/adv_patch_gen/conv_visdrone_2_yolo/utils.py
@@ -1,6 +1,6 @@
-import os
 import glob
-from typing import List, Tuple, Set
+import os
+from typing import List, Set, Tuple
 
 import numpy as np
 
diff --git a/adv_patch_gen/utils/common.py b/adv_patch_gen/utils/common.py
index 97f02beb6947..8b92049c8e9f 100644
--- a/adv_patch_gen/utils/common.py
+++ b/adv_patch_gen/utils/common.py
@@ -1,11 +1,11 @@
 """Common utils."""
+
 import socket
 from typing import Tuple, Union
 
 import numpy as np
 from PIL import Image
 
-
 IMG_EXTNS = {".png", ".jpg", ".jpeg"}
 
 
diff --git a/adv_patch_gen/utils/config_parser.py b/adv_patch_gen/utils/config_parser.py
index 459d6b7d9fc5..d3299e717f34 100644
--- a/adv_patch_gen/utils/config_parser.py
+++ b/adv_patch_gen/utils/config_parser.py
@@ -1,6 +1,8 @@
 """Create argparse options for config files."""
-import json
+
 import argparse
+import json
+
 from easydict import EasyDict as edict
 
 
diff --git a/adv_patch_gen/utils/dataset.py b/adv_patch_gen/utils/dataset.py
index 123416c8c035..00239c84dff0 100644
--- a/adv_patch_gen/utils/dataset.py
+++ b/adv_patch_gen/utils/dataset.py
@@ -1,18 +1,18 @@
 """Dataset Class for loading YOLO format datasets where the source data dir has the image and labels subdirs where each
 image must have a corresponding label file with the same name.
 """
+
 import glob
 import os.path as osp
-from typing import Tuple, Optional
+from typing import Optional, Tuple
 
 import numpy as np
-from PIL import Image
 import torch
 import torch.nn.functional as F
+from PIL import Image
 from torch.utils.data import Dataset
 from torchvision import transforms
 
-
 IMG_EXTNS = {".png", ".jpg", ".jpeg"}
 
 
diff --git a/adv_patch_gen/utils/loss.py b/adv_patch_gen/utils/loss.py
index 52f9c452eb9e..27e6586b2a9d 100644
--- a/adv_patch_gen/utils/loss.py
+++ b/adv_patch_gen/utils/loss.py
@@ -1,4 +1,5 @@
 """Loss functions used in patch generation."""
+
 from typing import Tuple
 
 import torch
diff --git a/adv_patch_gen/utils/patch.py b/adv_patch_gen/utils/patch.py
index d00ea64fcc42..f1e24d7e0422 100644
--- a/adv_patch_gen/utils/patch.py
+++ b/adv_patch_gen/utils/patch.py
@@ -1,6 +1,7 @@
 """Modules for creating adversarial object patch."""
+
 import math
-from typing import Union, Tuple
+from typing import Tuple, Union
 
 import numpy as np
 import torch
diff --git a/adv_patch_gen/utils/scheduler.py b/adv_patch_gen/utils/scheduler.py
index 4750123427ab..1030d76c8625 100644
--- a/adv_patch_gen/utils/scheduler.py
+++ b/adv_patch_gen/utils/scheduler.py
@@ -3,8 +3,8 @@
 # Gradual increase in learning rate by a constant amount to avoid sudden increase in lr
 
 import warnings
-from torch.optim.lr_scheduler import _LRScheduler, ReduceLROnPlateau
 
+from torch.optim.lr_scheduler import ReduceLROnPlateau, _LRScheduler
 
 EPOCH_DEPRECATION_WARNING = (
     "The epoch parameter in `scheduler.step()` was not necessary and is being "
diff --git a/adv_patch_gen/utils/video.py b/adv_patch_gen/utils/video.py
index 42da72101db5..7ce1eadb8b18 100644
--- a/adv_patch_gen/utils/video.py
+++ b/adv_patch_gen/utils/video.py
@@ -1,6 +1,6 @@
 import os.path as osp
+from subprocess import PIPE, Popen
 from typing import Optional
-from subprocess import Popen, PIPE
 
 
 def ffmpeg_create_video_from_image_dir(
diff --git a/detect_oak.py b/detect_oak.py
index 8f5dbb3fc1e4..1a73580404c6 100644
--- a/detect_oak.py
+++ b/detect_oak.py
@@ -5,15 +5,16 @@
 requirements:
     depthai-sdk==1.9.4
 """
+
 import time
-from typing import Tuple
 from threading import Thread
+from typing import Tuple
 
 import cv2
-import torch
-import numpy as np
 import depthai
+import numpy as np
 import onnxruntime
+import torch
 
 from models.common import DetectMultiBackend
 from utils.augmentations import letterbox
diff --git a/explainer.py b/explainer.py
index f21d31519bfc..091a4e6dc4f1 100644
--- a/explainer.py
+++ b/explainer.py
@@ -17,16 +17,16 @@
 from pytorch_grad_cam import (
     AblationCAM,
     EigenCAM,
+    EigenGradCAM,
     FullGrad,
     GradCAM,
+    GradCAMElementWise,
     GradCAMPlusPlus,
     HiResCAM,
-    ScoreCAM,
-    XGradCAM,
-    EigenGradCAM,
-    GradCAMElementWise,
     LayerCAM,
     RandomCAM,
+    ScoreCAM,
+    XGradCAM,
 )
 from pytorch_grad_cam.utils.image import scale_cam_image, show_cam_on_image
 
@@ -36,13 +36,11 @@
     sys.path.append(str(ROOT))  # add ROOT to PATH
 ROOT = Path(os.path.relpath(ROOT, Path.cwd()))  # relative
 
-from utils.general import print_args, check_file, non_max_suppression
-from utils.torch_utils import select_device
-
 from models.common import DetectMultiBackend
-from utils.dataloaders import LoadImages, IMG_FORMATS, VID_FORMATS
-from utils.general import check_img_size, scale_boxes
+from utils.dataloaders import IMG_FORMATS, VID_FORMATS, LoadImages
+from utils.general import check_file, check_img_size, non_max_suppression, print_args, scale_boxes
 from utils.plots import Annotator, colors
+from utils.torch_utils import select_device
 
 
 def yolo_reshape_transform(x):
diff --git a/export.py b/export.py
index 9ea2b936d740..8fe7ce8fdce1 100644
--- a/export.py
+++ b/export.py
@@ -742,9 +742,9 @@ def pipeline_coreml(model, im, file, names, y, prefix=colorstr("CoreML Pipeline:
     model = ct.models.MLModel(pipeline.spec)
     model.input_description["image"] = "Input image"
     model.input_description["iouThreshold"] = f"(optional) IOU Threshold override (default: {nms.iouThreshold})"
-    model.input_description[
-        "confidenceThreshold"
-    ] = f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
+    model.input_description["confidenceThreshold"] = (
+        f"(optional) Confidence Threshold override (default: {nms.confidenceThreshold})"
+    )
     model.output_description["confidence"] = 'Boxes × Class confidence (see user-defined metadata "classes")'
     model.output_description["coordinates"] = "Boxes × [x, y, width, height] (relative to image size)"
     model.save(f)  # pipelined
diff --git a/models/experimental.py b/models/experimental.py
index ab229d50e30f..62ee802f6248 100644
--- a/models/experimental.py
+++ b/models/experimental.py
@@ -1,5 +1,6 @@
 # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
 """Experimental modules."""
+
 import math
 
 import numpy as np
diff --git a/test_patch.py b/test_patch.py
index 61ebe56cbe66..acc7fba61c49 100644
--- a/test_patch.py
+++ b/test_patch.py
@@ -1,38 +1,38 @@
 """Testing code for evaluating Adversarial patches against object detection."""
+
+import glob
 import io
+import json
 import os
 import os.path as osp
-import time
-import json
-import glob
 import random
-from pathlib import Path
-from typing import Optional, List, Tuple
+import time
 from contextlib import redirect_stdout
+from pathlib import Path
+from typing import List, Optional, Tuple
 
-import tqdm
 import numpy as np
-from PIL import Image
-from easydict import EasyDict as edict
 import torch
-from torchvision import transforms
+import tqdm
+from easydict import EasyDict as edict
+from PIL import Image
 from pycocotools.coco import COCO
 from pycocotools.cocoeval import COCOeval
+from torchvision import transforms
 
-from models.common import DetectMultiBackend
-from utils.metrics import ConfusionMatrix
-from utils.general import non_max_suppression, xyxy2xywh
-from utils.torch_utils import select_device
-from utils.plots import Annotator, colors
-
+from adv_patch_gen.utils.common import IMG_EXTNS, BColors, pad_to_square
 from adv_patch_gen.utils.config_parser import get_argparser, load_config_object
 from adv_patch_gen.utils.patch import PatchApplier, PatchTransformer
-from adv_patch_gen.utils.common import pad_to_square, BColors, IMG_EXTNS
 from adv_patch_gen.utils.video import (
-    ffmpeg_create_video_from_image_dir,
-    ffmpeg_combine_two_vids,
     ffmpeg_combine_three_vids,
+    ffmpeg_combine_two_vids,
+    ffmpeg_create_video_from_image_dir,
 )
+from models.common import DetectMultiBackend
+from utils.general import non_max_suppression, xyxy2xywh
+from utils.metrics import ConfusionMatrix
+from utils.plots import Annotator, colors
+from utils.torch_utils import select_device
 
 # optionally set seed for repeatability
 SEED = 42
diff --git a/train_patch.py b/train_patch.py
index b50e35b9dc6c..9d650e4e328e 100644
--- a/train_patch.py
+++ b/train_patch.py
@@ -3,38 +3,36 @@
 
 python train_patch.py --cfg config_json_file
 """
+
+import glob
+import json
 import os
 import os.path as osp
+import random
 import time
-import json
 from contextlib import nullcontext
 
-import glob
-import random
 import numpy as np
-from PIL import Image
-from tqdm import tqdm
-from easydict import EasyDict as edict
-
 import torch
 import torch.nn.functional as F
-from torch import optim, autograd
+from easydict import EasyDict as edict
+from PIL import Image
+from tensorboard import program
+from torch import autograd, optim
 from torch.cuda.amp import autocast
-from torchvision import transforms as T
-
 from torch.utils.tensorboard import SummaryWriter
-from tensorboard import program
-
-from models.common import DetectMultiBackend
-from utils.torch_utils import select_device
-from utils.general import non_max_suppression, xyxy2xywh
+from torchvision import transforms as T
+from tqdm import tqdm
 
-from test_patch import PatchTester
+from adv_patch_gen.utils.common import IMG_EXTNS, is_port_in_use, pad_to_square
 from adv_patch_gen.utils.config_parser import get_argparser, load_config_object
-from adv_patch_gen.utils.common import is_port_in_use, pad_to_square, IMG_EXTNS
 from adv_patch_gen.utils.dataset import YOLODataset
+from adv_patch_gen.utils.loss import MaxProbExtractor, NPSLoss, SaliencyLoss, TotalVariationLoss
 from adv_patch_gen.utils.patch import PatchApplier, PatchTransformer
-from adv_patch_gen.utils.loss import MaxProbExtractor, SaliencyLoss, TotalVariationLoss, NPSLoss
+from models.common import DetectMultiBackend
+from test_patch import PatchTester
+from utils.general import non_max_suppression, xyxy2xywh
+from utils.torch_utils import select_device
 
 # optionally set seed for repeatability
 SEED = None
diff --git a/utils/augmentations.py b/utils/augmentations.py
index 64f71db24400..dfac11f28776 100644
--- a/utils/augmentations.py
+++ b/utils/augmentations.py
@@ -1,9 +1,9 @@
 # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
 """Image augmentation functions."""
 
-import os
 import glob
 import math
+import os
 import random
 
 import cv2
diff --git a/utils/dataloaders.py b/utils/dataloaders.py
index c930095f452d..3991563e7910 100644
--- a/utils/dataloaders.py
+++ b/utils/dataloaders.py
@@ -27,8 +27,8 @@
 from tqdm import tqdm
 
 from utils.augmentations import (
-    BboxPatcher,
     Albumentations,
+    BboxPatcher,
     augment_hsv,
     classify_albumentations,
     classify_transforms,
diff --git a/utils/loggers/__init__.py b/utils/loggers/__init__.py
index c3fbded50a3c..2a2c5d734c2e 100644
--- a/utils/loggers/__init__.py
+++ b/utils/loggers/__init__.py
@@ -1,5 +1,6 @@
 # YOLOv5 🚀 by Ultralytics, AGPL-3.0 license
 """Logging utils."""
+
 import json
 import os
 import warnings
diff --git a/utils/loggers/clearml/clearml_utils.py b/utils/loggers/clearml/clearml_utils.py
index 1bbea61effc2..6a6ed7636c88 100644
--- a/utils/loggers/clearml/clearml_utils.py
+++ b/utils/loggers/clearml/clearml_utils.py
@@ -1,4 +1,5 @@
 """Main Logger class for ClearML experiment tracking."""
+
 import glob
 import re
 from pathlib import Path