[pre-commit.ci] auto fixes from pre-commit.com hooks

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perception_dataset/deepen/deepen_to_t4_converter.py

@@ -21,7 +21,9 @@
 )
 from perception_dataset.rosbag2.rosbag2_converter import Rosbag2Converter
 from perception_dataset.t4_dataset.annotation_files_generator import AnnotationFilesGenerator
-from perception_dataset.t4_dataset.resolver.keyframe_consistency_resolver import KeyFrameConsistencyResolver
+from perception_dataset.t4_dataset.resolver.keyframe_consistency_resolver import (
+    KeyFrameConsistencyResolver,
+)
 from perception_dataset.utils.logger import configure_logger
 import perception_dataset.utils.misc as misc_utils
 

perception_dataset/fastlabel_to_t4/fastlabel_2d_to_t4_updater.py

@@ -83,12 +83,13 @@ def convert(self) -> None:
                 raise ValueError("If you want to overwrite files, use --overwrite option.")
 
             # Start updating annotations
-            annotation_files_updater = AnnotationFilesUpdater(description=self._description, surface_categories=self._surface_categories)
+            annotation_files_updater = AnnotationFilesUpdater(
+                description=self._description, surface_categories=self._surface_categories
+            )
             annotation_files_updater.convert_one_scene(
                 input_dir=input_dir,
                 output_dir=output_dir,
                 scene_anno_dict=fl_annotations[t4dataset_name],
                 dataset_name=t4dataset_name,
             )
             logger.info(f"Finished updating annotations for {t4dataset_name}")
-

perception_dataset/t4_dataset/annotation_files_generator.py

@@ -117,9 +117,7 @@ def convert_one_scene(
             prev_wid_hgt: Tuple = (0, 0)
             # NOTE: num_cameras is always 6, because it is hard coded above.
             for frame_index_nuim, sample_nuim in enumerate(nuim.sample_data):
-                if (
-                    sample_nuim["fileformat"] == "png" or sample_nuim["fileformat"] == "jpg"
-                ):
+                if sample_nuim["fileformat"] == "png" or sample_nuim["fileformat"] == "jpg":
                     cam = sample_nuim["filename"].split("/")[1]
                     cam_idx = self._camera2idx[cam]
 

perception_dataset/t4_dataset/annotation_files_updater.py

@@ -1,6 +1,6 @@
 import json
-from pathlib import Path
 import os.path as osp
+from pathlib import Path
 from typing import Any, Dict, List
 
 from perception_dataset.t4_dataset.annotation_files_generator import AnnotationFilesGenerator
@@ -13,7 +13,9 @@
     SurfaceAnnTable,
     VisibilityTable,
 )
-from perception_dataset.t4_dataset.resolver.keyframe_consistency_resolver import KeyFrameConsistencyResolver
+from perception_dataset.t4_dataset.resolver.keyframe_consistency_resolver import (
+    KeyFrameConsistencyResolver,
+)
 
 
 def _load_json(filepath: str) -> Any:
@@ -23,7 +25,12 @@ def _load_json(filepath: str) -> Any:
 
 
 class AnnotationFilesUpdater(AnnotationFilesGenerator):
-    def __init__(self, with_camera: bool = True, description: Dict[str, Dict[str, str]] = ..., surface_categories: List[str] = []):
+    def __init__(
+        self,
+        with_camera: bool = True,
+        description: Dict[str, Dict[str, str]] = ...,
+        surface_categories: List[str] = [],
+    ):
         super().__init__(with_camera, description, surface_categories)
         self.description = description