use numpy

rwth_phoenix_weather_2014.py

@@ -1,6 +1,7 @@
 from typing import List, Dict
 
-import cv2
+from PIL import Image
+import numpy as np
 import datasets
 import pandas as pd
 from datasets.download.streaming_download_manager import ArchiveIterable
@@ -39,6 +40,11 @@ _HOMEPAGE = "https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX/"
 
 _LICENSE = "CC BY-NC 4.0"
 
+# Function to convert image file to numpy array
+def image_to_numpy(file):
+    image = Image.open(file)
+    return np.array(image)
+
 
 class RWTHPhoenixWeather2014Config(datasets.BuilderConfig):
     """BuilderConfig for RWTHPhoenixWeather2014Config."""
@@ -179,7 +185,7 @@ class RWTHPhoenixWeather2014(datasets.GeneratorBasedBuilder):
 
             if self.config.name != 'pre-training':
                 result["frames"] = [
-                    cv2.imdecode(im, 1) for p, im in frames
+                    image_to_numpy(im) for p, im in frames
                 ]
 
             yield key, result