deal with 3.7

fastlabel/__init__.py

@@ -1,6 +1,7 @@
 import os
 import glob
 import json
+from typing import List
 from logging import getLogger
 from PIL import Image, ImageDraw
 
@@ -615,7 +616,7 @@ def export_labelme(self, tasks: list, output_dir: str = os.path.join("output", "
 
 
     # Instance / Semantic Segmetation
-    def export_instance_segmentation(self, tasks: list, output_dir: str = os.path.join("output", "instance_segmentation"), pallete: list[int] = const.COLOR_PALETTE) -> None:
+    def export_instance_segmentation(self, tasks: list, output_dir: str = os.path.join("output", "instance_segmentation"), pallete: List[int] = const.COLOR_PALETTE) -> None:
         """
         Convert tasks to index color instance segmentation (PNG files).
         Supports only bbox, polygon and segmentation annotation types. Hollowed points are not supported.
@@ -629,7 +630,7 @@ def export_instance_segmentation(self, tasks: list, output_dir: str = os.path.jo
         for task in tasks:
             self.__export_index_color_image(task=task, output_dir=output_dir, pallete=pallete, is_instance_segmentation=True)
 
-    def export_semantic_segmentation(self, tasks: list, output_dir: str = os.path.join("output", "semantic_segmentation"), pallete: list[int] = const.COLOR_PALETTE) -> None:
+    def export_semantic_segmentation(self, tasks: list, output_dir: str = os.path.join("output", "semantic_segmentation"), pallete: List[int] = const.COLOR_PALETTE) -> None:
         """
         Convert tasks to index color semantic segmentation (PNG files).
         Supports only bbox, polygon and segmentation annotation types. Hollowed points are not supported.
@@ -650,7 +651,7 @@ def export_semantic_segmentation(self, tasks: list, output_dir: str = os.path.jo
         for task in tasks:
             self.__export_index_color_image(task=task, output_dir=output_dir, pallete=pallete, is_instance_segmentation=False, classes=classes)
 
-    def __export_index_color_image(self, task: list, output_dir: str, pallete: list[int], is_instance_segmentation: bool = True, classes: list = []) -> None:
+    def __export_index_color_image(self, task: list, output_dir: str, pallete: List[int], is_instance_segmentation: bool = True, classes: list = []) -> None:
         image = Image.new("RGB", (task["width"], task["height"]), 0)
         image = image.convert('P')
         image.putpalette(pallete)
@@ -680,7 +681,7 @@ def __export_index_color_image(self, task: list, output_dir: str, pallete: list[
         os.makedirs(os.path.dirname(image_path), exist_ok=True)
         image.save(image_path)
 
-    def __get_pillow_draw_points(self, points: list[int]) -> list[int]:
+    def __get_pillow_draw_points(self, points: List[int]) -> List[int]:
         """
         Convert points to pillow draw points. Diagonal points are not supported.
         """

fastlabel/converters.py

@@ -1,4 +1,5 @@
 from concurrent.futures import ThreadPoolExecutor
+from typing import List
 
 import copy
 import geojson
@@ -302,7 +303,7 @@ def to_pixel_coordinates(tasks: list) -> list:
                 continue
     return tasks
 
-def __get_pixel_coordinates(points: list[int or float]) -> list[int]:
+def __get_pixel_coordinates(points: List[int or float]) -> List[int]:
     """
     Remove diagonal coordinates and return pixel outline coordinates.
     """

setup.py

@@ -8,7 +8,7 @@
 
 setuptools.setup(
     name="fastlabel",
-    version="0.9.7",
+    version="0.9.8",
     author="eisuke-ueta",
     author_email="eisuke.ueta@fastlabel.ai",
     description="The official Python SDK for FastLabel API, the Data Platform for AI",