data_loading.py

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)