Boost up Image numpy accessing speed through PIL (#2586)

* boost up numpy accessing speed through PIL

* update CHANGELOG

* resolve precommit error

* resolve precommit error

* add fallback logic with PIL open

* use convert instead of draft

CHANGELOG.md

@@ -8,6 +8,7 @@ All notable changes to this project will be documented in this file.
 
 - Update ModelAPI configuration(<https://github.com/openvinotoolkit/training_extensions/pull/2564>)
 - Add Anomaly modelAPI changes (<https://github.com/openvinotoolkit/training_extensions/pull/2563>)
+- Update Image numpy access (<https://github.com/openvinotoolkit/training_extensions/pull/2586>)
 
 ### Bug fixes
 

src/otx/api/entities/image.py

@@ -10,6 +10,7 @@
 import cv2
 import imagesize
 import numpy as np
+from PIL import Image as PILImage
 
 from otx.api.entities.annotation import Annotation
 from otx.api.entities.media import IMedia2DEntity
@@ -91,7 +92,12 @@ def numpy(self) -> np.ndarray:
             np.ndarray: NumPy representation of the image.
         """
         if self.__data is None:
-            return cv2.cvtColor(cv2.imread(self.__file_path), cv2.COLOR_BGR2RGB)
+            try:
+                image = PILImage.open(self.__file_path)
+                image = np.asarray(image.convert("RGB"))
+            except ValueError:
+                image = cv2.cvtColor(cv2.imread(self.__file_path), cv2.COLOR_BGR2RGB)
+            return image
         if callable(self.__data):
             return self.__data()
         return self.__data