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import os
import requests
from PIL import Image
import json
def download_image_with_retries(image_url, output_file):
try:
response = requests.get(image_url, stream=True, timeout=5)
if response.status_code == 200:
with open(output_file, 'wb') as out_file:
for chunk in response.iter_content(1024):
out_file.write(chunk)
return True
except requests.RequestException as e:
print(f"Download failed: {e}")
return False
def convert_to_jpg(input_path, output_path):
try:
with Image.open(input_path) as img:
# Convert image to RGB to ensure compatibility if original is in a different mode (e.g., RGBA, P)
rgb_img = img.convert('RGB')
rgb_img.save(output_path, 'JPEG')
os.remove(input_path) # Remove the original image file after conversion
return True
except Exception as e:
print(f"Error converting image to JPG: {e}")
return False
def verify_and_download_images(data):
images_directory = './images'
os.makedirs(images_directory, exist_ok=True)
for key, value in data.items():
image_url = value['imageURL']
ext = os.path.splitext(image_url)[1].lower() # Ensure extension is in lowercase for comparison
needs_conversion = ext in ['.gif', '.png']
output_ext = '.jpg' if needs_conversion else ext
output_file = f'{images_directory}/{key}{output_ext}'
if not os.path.exists(output_file):
print(f"Image {key}{output_ext} not found, attempting to download...")
temp_output_file = output_file if not needs_conversion else f'{images_directory}/{key}{ext}'
if not download_image_with_retries(image_url, temp_output_file):
print(f"Warning: Could not download image {image_url}")
elif needs_conversion:
# Convert image to JPG
if not convert_to_jpg(temp_output_file, output_file):
print(f"Warning: Could not convert image to JPG for image {image_url}")
# Load the dataset JSON file (assuming you have a dataset.json file in the same directory)
with open('dataset.json', 'r') as fp:
data = json.load(fp)
# Check and download images as necessary
verify_and_download_images(data)
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