Update soybean_dataset.py

soybean_dataset.py

@@ -21,10 +21,10 @@ import os
 from typing import List
 import datasets
 import logging
-
+import csv
 import numpy as np
 from PIL import Image
-
+import os
 import io
 import pandas as pd
 import matplotlib.pyplot as plt
@@ -87,15 +87,15 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
               {
                   "unique_id": datasets.Value("string"),
                   "sets": datasets.Value("string"),
-                  "original_image": datasets.Value("string"),
-                  "segmentation_image": datasets.Value("string"),
+                  "original_image": datasets.Image(),
+                  "segmentation_image": datasets.Image(),
                   
               }
           ),
           # No default supervised_keys (as we have to pass both question
           # and context as input).
           supervised_keys=("original_image","segmentation_image"),
-          #homepage="https://rajpurkar.github.io/SQuAD-explorer/",
+          homepage="https://github.com/lisawen0707/soybean/tree/main",
           citation=_CITATION,
       )
 
@@ -118,15 +118,12 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
         ]
 
     def process_image(self,image_url):
-        response = requests.get(image_url)
-        response.raise_for_status()  # This will raise an exception if there is a download error
+            response = requests.get(image_url)
+            response.raise_for_status()  # This will raise an exception if there is a download error
 
-        # Open the image from the downloaded bytes
-        img = Image.open(BytesIO(response.content))
-
-        numpydata = asarray(img)
-
-        return numpydata
+            # Open the image from the downloaded bytes and return the PIL Image
+            img = Image.open(BytesIO(response.content))
+            return img
         
 
 
@@ -145,8 +142,8 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
                 segmentation_image_path = row['segmentation_image']
                 sets = row['sets']
 
-                original_image_array = self.process_image(original_image_path)
-                segmentation_image_array = self.process_image(segmentation_image_path)
+                original_image = self.process_image(original_image_path)
+                segmentation_image = self.process_image(segmentation_image_path)
 
                 
                 # Here you need to replace 'initial_radius', 'final_radius', 'initial_angle', 'final_angle', 'target'
@@ -154,8 +151,8 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
                 yield row['unique_id'], {
                     "unique_id": unique_id,
                     "sets": sets,
-                    "original_image": original_image_array,
-                    "segmentation_image": segmentation_image_array,
+                    "original_image": original_image,
+                    "segmentation_image": segmentation_image,
                     # ... add other features if necessary
                 }
     
@@ -189,6 +186,4 @@ class SoybeanDataset(datasets.GeneratorBasedBuilder):
     
     
     
-    
-    
-    
+