Create data_loading.py

data_loading.py

@@ -0,0 +1,49 @@
+import os
+import csv
+import shutil
+import json
+from sam_api import segment_image_from_url
+import requests
+
+def process_data(data, output_csv, base_image_folder, segmented_image_folder):
+    # Create the folders for base and segmented images if they don't exist
+    os.makedirs(base_image_folder, exist_ok=True)
+    os.makedirs(segmented_image_folder, exist_ok=True)
+
+    # Open the CSV file and write the header
+    with open(output_csv, 'w', newline='') as csvfile:
+        fieldnames = ['base_image', 'segmented_image', 'description']
+        writer = csv.DictWriter(csvfile, fieldnames=fieldnames)
+        writer.writeheader()
+
+        # Iterate through the dataset
+        for row in data['rows']:
+            image_url = row['row']['image']['src']
+            report = row['row']['report'].strip("b'")
+            base_image_file = os.path.join(base_image_folder, f"base_image_{row['row_idx']}.jpg")
+            segmented_image_file = os.path.join(segmented_image_folder, f"segmented_image_{row['row_idx']}.png")
+
+            # Download and save the base image
+            response = requests.get(image_url, stream=True)
+            with open(base_image_file, 'wb') as out_file:
+                shutil.copyfileobj(response.raw, out_file)
+            del response
+
+            # Segment the image and save it
+            _ = segment_image_from_url(image_url)
+            shutil.move('segmented_image.png', segmented_image_file)
+
+            # Write the data to the CSV file
+            writer.writerow({'base_image': base_image_file, 'segmented_image': segmented_image_file, 'description': report})
+
+# Example usage
+# Load the data from the JSON file
+with open('data.json', 'r') as json_file:
+    data = json.load(json_file)
+
+
+output_csv = 'output.csv'
+base_image_folder = 'base_images'
+segmented_image_folder = 'segmented_images'
+
+process_data(data, output_csv, base_image_folder, segmented_image_folder)