reformat black

Author: takahiro-tamenishi

examples/import_yolo.py

@@ -1,8 +1,9 @@
-import fastlabel
-import os
 import glob
+import os
 import time
 
+import fastlabel
+
 client = fastlabel.Client()
 
 project = "YOUR_PROJECT_SLUG"
@@ -12,16 +13,17 @@
 annotations_map = client.convert_yolo_to_fastlabel(
     classes_file_path=input_file_path,
     dataset_folder_path=input_dataset_path,
-    project_type="segmentation"
+    project_type="segmentation",
 )
-for image_file_path in glob.iglob(os.path.join(input_dataset_path, "**/**.jpg"), recursive=True):
+for image_file_path in glob.iglob(
+    os.path.join(input_dataset_path, "**/**.jpg"), recursive=True
+):
     time.sleep(1)
     name = image_file_path.replace(os.path.join(*[input_dataset_path, ""]), "")
     file_path = image_file_path
-    annotations = annotations_map.get(name) if annotations_map.get(name) is not None else []
+    annotations = (
+        annotations_map.get(name) if annotations_map.get(name) is not None else []
+    )
     task_id = client.create_image_task(
-        project=project,
-        name=name,
-        file_path=file_path,
-        annotations=annotations
+        project=project, name=name, file_path=file_path, annotations=annotations
     )

fastlabel/__init__.py

@@ -2890,7 +2890,10 @@ def convert_pascalvoc_to_fastlabel(self, folder_path: str) -> dict:
         return results
 
     def convert_yolo_to_fastlabel(
-        self, classes_file_path: str, dataset_folder_path: str, project_type: str,
+        self,
+        classes_file_path: str,
+        dataset_folder_path: str,
+        project_type: str,
     ) -> dict:
         """
         Convert YOLO format to FastLabel format as annotation files.
@@ -2948,7 +2951,7 @@ def convert_yolo_to_fastlabel(
         image_sizes = self.__get_yolo_image_sizes(dataset_folder_path)
         yolo_annotations = self.__get_yolo_format_annotations(dataset_folder_path)
 
-        if (project_type == "segmentation"):
+        if project_type == "segmentation":
             return converters.execute_segmentation_yolo_to_fastlabel(
                 classes,
                 image_sizes,