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"""
Download Sample Images for ViT Auditing Toolkit
This Python script downloads free sample images from Unsplash for testing.
"""
import os
import urllib.request
from pathlib import Path
# Color codes for terminal output
GREEN = "\033[92m"
BLUE = "\033[94m"
RED = "\033[91m"
RESET = "\033[0m"
def download_image(url, filepath, description):
"""Download an image from URL to filepath."""
try:
print(f"{BLUE}📥 Downloading:{RESET} {description}")
# Create directory if it doesn't exist
os.makedirs(os.path.dirname(filepath), exist_ok=True)
# Download the image
urllib.request.urlretrieve(url, filepath)
# Check if file was created
if os.path.exists(filepath):
file_size = os.path.getsize(filepath) / 1024 # KB
print(f"{GREEN}✅ Saved:{RESET} {filepath} ({file_size:.1f} KB)\n")
return True
else:
print(f"{RED}❌ Failed to save:{RESET} {filepath}\n")
return False
except Exception as e:
print(f"{RED}❌ Error:{RESET} {str(e)}\n")
return False
def main():
"""Main function to download all sample images."""
print("🖼️ Downloading sample images for ViT Auditing Toolkit...\n")
# Base directory
base_dir = "examples"
# Create directories
directories = [
"basic_explainability",
"counterfactual",
"calibration",
"bias_detection",
"general",
]
for directory in directories:
os.makedirs(os.path.join(base_dir, directory), exist_ok=True)
# Image download list: (url, filepath, description)
images = [
# Basic Explainability
(
"https://images.unsplash.com/photo-1574158622682-e40e69881006?w=800&q=80",
f"{base_dir}/basic_explainability/cat_portrait.jpg",
"Cat Portrait",
),
(
"https://images.unsplash.com/photo-1543466835-00a7907e9de1?w=800&q=80",
f"{base_dir}/basic_explainability/dog_portrait.jpg",
"Dog Portrait",
),
(
"https://images.unsplash.com/photo-1444464666168-49d633b86797?w=800&q=80",
f"{base_dir}/basic_explainability/bird_flying.jpg",
"Bird Flying",
),
(
"https://images.unsplash.com/photo-1583121274602-3e2820c69888?w=800&q=80",
f"{base_dir}/basic_explainability/sports_car.jpg",
"Sports Car",
),
(
"https://images.unsplash.com/photo-1509042239860-f550ce710b93?w=800&q=80",
f"{base_dir}/basic_explainability/coffee_cup.jpg",
"Coffee Cup",
),
# Counterfactual Analysis
(
"https://images.unsplash.com/photo-1494790108377-be9c29b29330?w=800&q=80",
f"{base_dir}/counterfactual/face_portrait.jpg",
"Face Portrait",
),
(
"https://images.unsplash.com/photo-1552519507-da3b142c6e3d?w=800&q=80",
f"{base_dir}/counterfactual/car_side.jpg",
"Car Side View",
),
(
"https://images.unsplash.com/photo-1480714378408-67cf0d13bc1b?w=800&q=80",
f"{base_dir}/counterfactual/building.jpg",
"Building Architecture",
),
(
"https://images.unsplash.com/photo-1490750967868-88aa4486c946?w=800&q=80",
f"{base_dir}/counterfactual/flower.jpg",
"Flower",
),
# Calibration
(
"https://images.unsplash.com/photo-1583511655857-d19b40a7a54e?w=800&q=80",
f"{base_dir}/calibration/clear_panda.jpg",
"Clear Panda Image",
),
(
"https://images.unsplash.com/photo-1425082661705-1834bfd09dca?w=800&q=80",
f"{base_dir}/calibration/outdoor_scene.jpg",
"Outdoor Scene",
),
(
"https://images.unsplash.com/photo-1519389950473-47ba0277781c?w=800&q=80",
f"{base_dir}/calibration/workspace.jpg",
"Workspace Scene",
),
# Bias Detection
(
"https://images.unsplash.com/photo-1601758228041-f3b2795255f1?w=800&q=80",
f"{base_dir}/bias_detection/dog_daylight.jpg",
"Dog in Daylight",
),
(
"https://images.unsplash.com/photo-1596492784531-6e6eb5ea9993?w=800&q=80",
f"{base_dir}/bias_detection/cat_indoor.jpg",
"Cat Indoors",
),
(
"https://images.unsplash.com/photo-1530595467537-0b5996c41f2d?w=800&q=80",
f"{base_dir}/bias_detection/bird_outdoor.jpg",
"Bird Outdoors",
),
(
"https://images.unsplash.com/photo-1449844908441-8829872d2607?w=800&q=80",
f"{base_dir}/bias_detection/urban_scene.jpg",
"Urban Environment",
),
# General
(
"https://images.unsplash.com/photo-1565299624946-b28f40a0ae38?w=800&q=80",
f"{base_dir}/general/pizza.jpg",
"Pizza",
),
(
"https://images.unsplash.com/photo-1506905925346-21bda4d32df4?w=800&q=80",
f"{base_dir}/general/mountain.jpg",
"Mountain Landscape",
),
(
"https://images.unsplash.com/photo-1593642632823-8f785ba67e45?w=800&q=80",
f"{base_dir}/general/laptop.jpg",
"Laptop",
),
(
"https://images.unsplash.com/photo-1555041469-a586c61ea9bc?w=800&q=80",
f"{base_dir}/general/chair.jpg",
"Modern Chair",
),
]
# Download all images
successful = 0
failed = 0
print("=" * 50)
print("Starting downloads...\n")
for url, filepath, description in images:
if download_image(url, filepath, description):
successful += 1
else:
failed += 1
# Summary
print("=" * 50)
print(f"{GREEN}✅ Download complete!{RESET}")
print("=" * 50)
print(f"\n📊 Summary:")
print(f" ✅ Successful: {successful}")
print(f" ❌ Failed: {failed}")
print(f"\n📁 Image count by category:")
for directory in directories:
path = Path(base_dir) / directory
image_count = len(list(path.glob("*.jpg")))
print(f" - {directory}: {image_count} images")
print(f"\n🚀 Ready to test! Run: python app.py\n")
if __name__ == "__main__":
main()
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