style: [CI] format

spatialyze/video_processor/stream/strongsort.py

@@ -1,9 +1,9 @@
 from dataclasses import dataclass, field
 from pathlib import Path
 
-import torch
 import numpy as np
 import numpy.typing as npt
+import torch
 
 from ..modules.yolo_tracker.trackers.multi_tracker_zoo import StrongSORT as _StrongSORT
 from ..modules.yolo_tracker.trackers.multi_tracker_zoo import create_tracker
@@ -12,7 +12,7 @@
 from ..stages.tracking_2d.tracking_2d import Tracking2DResult
 from ..types import DetectionId
 from ..video import Video
-from .data_types import Detection2D, Skip, skip
+from .data_types import Detection2D, Skip
 from .reusable import reusable
 from .stream import Stream
 

spatialyze/video_processor/stream/yolo.py

@@ -12,10 +12,10 @@
     scale_boxes,
 )
 from ..modules.yolo_tracker.yolov5.utils.torch_utils import select_device
-from ..stages.detection_2d.yolo_detection import YoloDetection, class_mapping_to_list
+from ..stages.detection_2d.yolo_detection import class_mapping_to_list
 from ..types import DetectionId
 from ..video.video import Video
-from .data_types import Detection2D, Frame, Skip, skip
+from .data_types import Detection2D, Skip, skip
 from .reusable import reusable
 from .stream import Stream
 

spatialyze/video_processor/utils/prepare_trajectory.py

@@ -5,7 +5,9 @@
 from ..types import Float3
 
 
-def prepare_trajectory(video_name: "str", obj_id: "int", track: "list[TrackingResult]", configs: list[CameraConfig]):
+def prepare_trajectory(
+    video_name: "str", obj_id: "int", track: "list[TrackingResult]", configs: list[CameraConfig]
+):
     timestamps: "list[datetime.datetime]" = []
     pairs: "list[Float3]" = []
     itemHeadings: "list[float | None]" = [None] * len(track)