1 files changed, 1 insertions, 55 deletions
diff --git a/src/argaze/ArUcoMarkers/ArUcoScene.py b/src/argaze/ArUcoMarkers/ArUcoScene.py
index 5000833..999fd6f 100644
--- a/src/argaze/ArUcoMarkers/ArUcoScene.py
+++ b/src/argaze/ArUcoMarkers/ArUcoScene.py
@@ -16,7 +16,6 @@ __credits__ = []
 __copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
 __license__ = "GPLv3"
 
-from typing import TypeVar, Tuple
 import json
 import os
 
@@ -27,9 +26,6 @@ from argaze.AreaOfInterest import AOI2DScene
 import cv2
 import numpy
 
-ArUcoSceneType = TypeVar('ArUcoScene', bound="ArUcoScene")
-# Type definition for type annotation convenience
-
 class ArUcoScene(ArFeatures.ArScene):
 	"""
 	Define an ArScene based on an ArUcoMarkersGroup description.
@@ -82,58 +78,8 @@ class ArUcoScene(ArFeatures.ArScene):
 
 			self.__aruco_markers_group.parent = self
 
-	@classmethod
-	def from_dict(cls, aruco_scene_data: dict, working_directory: str = None) -> ArUcoSceneType:
-		"""
-		Load ArUcoScene from dictionary.
-
-		Parameters:
-			aruco_scene_data: dictionary
-			working_directory: folder path where to load files when a dictionary value is a relative filepath.
-		"""
-
-		# Load aruco markers group
-		try:
-
-			# Check aruco_markers_group value type
-			aruco_markers_group_value = aruco_scene_data.pop('aruco_markers_group')
-
-			# str: relative path to description file
-			if type(aruco_markers_group_value) == str:
-
-				filepath = os.path.join(working_directory, aruco_markers_group_value)
-				file_format = filepath.split('.')[-1]
-
-				# JSON file format
-				if file_format == 'json':
-
-					new_aruco_markers_group = ArUcoMarkersGroup.ArUcoMarkersGroup.from_json(filepath)
-
-				# OBJ file format
-				elif file_format == 'obj':
-
-					new_aruco_markers_group = ArUcoMarkersGroup.ArUcoMarkersGroup.from_obj(filepath)
-
-			# dict:
-			else:
-
-				new_aruco_markers_group = ArUcoMarkersGroup.ArUcoMarkersGroup(**aruco_markers_group_value)
-
-		except KeyError:
-
-			new_aruco_markers_group = None
-
-		# Load temporary scene from aruco_scene_data then export it as dict
-		temp_scene_data = ArFeatures.ArScene.from_dict(aruco_scene_data, working_directory).as_dict()
-
-		# Create new aruco scene using temporary ar scene values
-		return ArUcoScene( \
-			aruco_markers_group = new_aruco_markers_group, \
-			**temp_scene_data \
-			)
-
 	@DataFeatures.PipelineStepMethod
-	def estimate_pose(self, detected_markers: dict) -> Tuple[numpy.array, numpy.array, dict]:
+	def estimate_pose(self, detected_markers: dict) -> tuple[numpy.array, numpy.array, dict]:
 		"""Estimate scene pose from detected ArUco markers.
 
 		Parameters: