pear-classifier / image_downloader.py
Valentin Tunev
Add image downloader
a43e23c
# Thanks to Claude!
import os
import sys
import argparse
import requests
import time
from PIL import Image
from io import BytesIO
import matplotlib.pyplot as plt
from duckduckgo_search import DDGS
def download_images(query, save_dir, max_images=50):
"""
Download images based on search query with interactive approval using DuckDuckGo.
Args:
query (str): Search query for images
save_dir (str): Directory to save approved images
max_images (int): Maximum number of images to download
"""
# Create save directory if it doesn't exist
if not os.path.exists(save_dir):
os.makedirs(save_dir)
print(f"Created directory: {save_dir}")
# Search for images using duckduckgo-search
print(f"Searching for '{query}' on DuckDuckGo...")
try:
# Initialize DDGS
ddgs = DDGS()
# Get image results
image_results = list(ddgs.images(
query,
region="wt-wt", # Worldwide
safesearch="off",
size=None, # Any size
color=None, # Any color
type_image=None, # Any type
layout=None, # Any layout
license_image=None, # Any license
max_results=max_images
))
except Exception as e:
print(f"Error searching for images: {e}")
sys.exit(1)
if not image_results:
print("No images found for the query.")
return
print(f"Found {len(image_results)} images. Starting download process...")
# Download and display images one by one
for i, image_data in enumerate(image_results, 1):
try:
# Get image URL
image_url = image_data.get("image")
if not image_url:
print(f"Image {i}: No URL found, skipping")
continue
# Create filename from query
filename = f"{query.replace(' ', '_')}_{i}.jpg"
filepath = os.path.join(save_dir, filename)
# Download image
try:
headers = {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/91.0.4472.124 Safari/537.36'
}
response = requests.get(image_url, headers=headers, timeout=10)
response.raise_for_status() # Raise exception for HTTP errors
# Open image
img = Image.open(BytesIO(response.content))
# Display image and metadata
plt.figure(figsize=(10, 8))
plt.imshow(img)
image_title = image_data.get('title', 'Unknown title')
plt.title(f"File: {filename}\nSize: {img.width}x{img.height}\nTitle: {image_title}")
plt.axis('off')
plt.tight_layout()
plt.show(block=False)
# Ask user if they want to keep the image
while True:
choice = input(f"Keep image '{filename}'? (y/n/q to quit): ").lower()
if choice == 'y':
# Save the image
img.save(filepath)
print(f"Saved: {filepath}")
break
elif choice == 'n':
print(f"Skipped: {filename}")
break
elif choice == 'q':
print("Quitting...")
return
else:
print("Please enter 'y' to keep, 'n' to skip, or 'q' to quit.")
# Close the figure
plt.close()
# Add a small delay to avoid being blocked
time.sleep(0.5)
except requests.exceptions.RequestException as e:
print(f"Failed to download image {i}: {e}")
continue
except Exception as e:
print(f"Failed to process image {i}: {e}")
continue
except Exception as e:
print(f"Error processing image {i}: {e}")
print(f"\nFinished downloading images for '{query}'")
def main():
# Set up argument parser
parser = argparse.ArgumentParser(description='Interactive image downloader using DuckDuckGo')
parser.add_argument('query', help='Search query for images (e.g., "concorde pear photos")')
parser.add_argument('--save-dir', default='downloaded_images', help='Directory to save approved images')
parser.add_argument('--max-images', type=int, default=50, help='Maximum number of images to download')
# Parse arguments
args = parser.parse_args()
# Download images
download_images(args.query, args.save_dir, args.max_images)
if __name__ == "__main__":
main()