Update new_dataset_script.py

new_dataset_script.py

@@ -169,10 +169,10 @@ def _generate_examples(self, filepaths, species_info, data_dir, split):
         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")
         label_path = os.path.join(data_dir, f"{image_id}.txt")
-        json_path = os.path.join(data_dir, f"{image_id}.json")  # JSON file path
         
         with Image.open(image_path) as img:
             width, height = img.size
+            pics_array = np.array(img)  # Convert the PIL image to a numpy array
         
         species_row = species_info.loc[species_info['FileName'] == file_name]
         species = species_row['Species'].values[0] if not species_row.empty else None
@@ -180,10 +180,13 @@ def _generate_examples(self, filepaths, species_info, data_dir, split):
 
         annotations = self._parse_yolo_labels(label_path, width, height)
         
-        # Save metadata to JSON
-        save_metadata_as_json(image_id, annotations, species, scientific_name, json_path)
         
         yield image_id, {
-            "image": img,  # Return the PIL image
-            "metadata_json": json_path  # Return the path to the JSON file
+            "image_id": image_id,
+            "species": species,
+            "scientific_name": scientific_name,
+            "pics_array": pics_array,
+            "image_resolution": {"width": width, "height": height},
+            "annotations": annotations,
+            "image": img  # Return the PIL image
         }