Update Populus_Stomatal_Images_Datasets.py

Populus_Stomatal_Images_Datasets.py

@@ -168,7 +168,7 @@ class NewDataset(datasets.GeneratorBasedBuilder):
         return annotations
     
     def _generate_examples(self, filepaths, species_info, data_dir):
-        """Yields examples as (key, example) tuples."""
+    """Yields examples as (key, example) tuples."""
         for file_name in filepaths:
             image_id = os.path.splitext(file_name)[0]  # Extract the base name without the file extension
             image_path = os.path.join(data_dir, f"{image_id}.jpg")
@@ -179,19 +179,15 @@ class NewDataset(datasets.GeneratorBasedBuilder):
             if not species_row.empty:
                 species = species_row['Species'].values[0]
                 scientific_name = species_row['ScientificName'].values[0]
-                width = species_row['Witdh'].values[0]
-                height = species_row['Heigth'].values[0]
+                width = species_row['Width'].values[0]
+                height = species_row['Height'].values[0]
             else:
-                # Default values if not found
-                species = None
-                scientific_name = None
-                width = 1024  # Default value
-                height = 768   # Default value
-    
-            pics_array = None
+                # If the species info is not found, continue to the next file
+                continue
+        
             with Image.open(image_path) as img:
                 pics_array = np.array(img).tolist()  # Convert the PIL image to a numpy array and then to a list
-    
+        
             annotations = self._parse_yolo_labels(label_path, width, height)
             
             # Yield the dataset example
@@ -203,3 +199,4 @@ class NewDataset(datasets.GeneratorBasedBuilder):
                 "image_resolution": {"width": width, "height": height},
                 "annotations": annotations
             }
+