Update mmod2.py

mmod2.py

@@ -5,6 +5,8 @@ from os.path import (
     basename
   # listdir
 )
+import os.path
+
 import random
 import scipy.io
 import datasets
@@ -98,16 +100,15 @@ class Mmod2(datasets.GeneratorBasedBuilder):
       # if file_basename in files_to_keep:
 
       raw_image_file = f"{self.data_dir}/data/{_IMAGES_DIR}/{file_name}.jpg"
-      annotation = scipy.io.loadmat(f"{self.data_dir}/data/{_ANNOTATIONS_DIR}/{file_name}.mat")["annotations"][0][0][0]
-      # print(f"{annotation = }")
-
-      image = Image.open(raw_image_file)
-
-    
-      yield file_name, {
-        "image": image,     #   {"path": file_path, "bytes": file_obj.read()},
-        "label": self.decode_labels(image, annotation),
-      }
+          
+      if os.path.exists(raw_image_image) and os.path.exists(annotation_file):
+        image = Image.open(raw_image_file)
+        annotation = scipy.io.loadmat(f"{self.data_dir}/data/{_ANNOTATIONS_DIR}/{file_name}.mat")["annotations"][0][0][0]
+
+        yield file_name, {
+          "image": image,     #   {"path": file_path, "bytes": file_obj.read()},
+          "label": self.decode_labels(image, annotation),
+        }
 
   def decode_labels(self, image: Image.Image, mask, num_images=1, num_classes=3):
     """Decode batch of segmentation masks.