Update soybean_dataset.py

soybean_dataset.py

@@ -21,7 +21,7 @@ import os
 from typing import List
 import datasets
 import logging
-import zipfile
+
 import numpy as np
 from PIL import Image
 import os
@@ -127,33 +127,37 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
 
 
     def _generate_examples(self, filepath):
-        logging.info("generating examples from = %s", filepath)
-        # Open the zip file
-        with zipfile.ZipFile(filepath, 'r') as zip_ref:
-            # List all the contents of the zip file
-            zip_list = zip_ref.namelist()
+        logging.info("Generating examples from = %s", filepath)
+        
+        # Initialize a counter for unique ID
+        unique_id = 0
+        
+        # Get the list of files in the directory
+        file_list = os.listdir(filepath)
+
+        # Create pairs of original and segmentation images
+        images_pairs = [(f, f.replace('_original.jpg', '_segmentation.png')) for f in file_list if '_original.jpg' in f]
+        
+        # Iterate over the pairs and yield examples
+        for original_image_name, segmentation_image_name in images_pairs:
+            # Construct the full path to the original and segmentation images
+            original_image_path = os.path.join(filepath, original_image_name)
+            segmentation_image_path = os.path.join(filepath, segmentation_image_name)
             
-            # Create pairs of original and segmentation images
-            images_pairs = [(f, f.replace('_original.jpg', '_segmentation.png')) for f in zip_list if '_original.jpg' in f]
+            # Open the original image
+            original_image = Image.open(original_image_path)
             
-            # Iterate over the pairs and yield examples
-            for original_image_name, segmentation_image_name in images_pairs:
-                # The unique_id is derived from the original image name by stripping away the file extension and the suffix
-                unique_id = original_image_name.split('_')[0]
-                
-                # Extract and process the original image
-                with zip_ref.open(original_image_name) as original_file:
-                    original_image = Image.open(original_file)
-                
-                # Extract and process the segmentation image
-                with zip_ref.open(segmentation_image_name) as segmentation_file:
-                    segmentation_image = Image.open(segmentation_file)
-                
-                yield unique_id, {
-                    "original_image": original_image,
-                    "segmentation_image": segmentation_image,
-                }        
-
+            # Open the segmentation image
+            segmentation_image = Image.open(segmentation_image_path)
+            
+            # Yield the current example
+            yield unique_id, {
+                "original_image": original_image,
+                "segmentation_image": segmentation_image,
+            }
+            
+            # Increment the unique ID for the next example
+            unique_id += 1