Nicole-Yi's picture
Upload 103 files
4a5e815 verified
import argparse
import os
import json
import cv2
from datetime import datetime
from stegano import lsb
from skimage.metrics import peak_signal_noise_ratio as compare_psnr
def evaluate_watermark(input_path, watermark, output_path):
process_success = True
final_result_success = False
comments = []
time_point = datetime.now().isoformat()
# === Step 0: Input file validation ===
if not os.path.exists(input_path) or os.path.getsize(input_path) == 0:
comments.append(f"❌ Original image file missing or empty: {input_path}")
process_success = False
if not os.path.exists(output_path) or os.path.getsize(output_path) == 0:
comments.append(f"❌ Output image file missing or empty: {output_path}")
process_success = False
if process_success:
try:
# Step 1: Extract watermark
extracted = lsb.reveal(output_path)
match = (extracted == watermark)
comments.append(f"{'✅' if match else '❌'} Extraction result: '{extracted}' | GT: '{watermark}'")
# Step 2: Calculate PSNR
original_img = cv2.imread(input_path)
watermarked_img = cv2.imread(output_path)
if original_img is None or watermarked_img is None:
comments.append("❌ Failed to read images, please check paths and formats.")
process_success = False
elif original_img.shape != watermarked_img.shape:
comments.append("❌ Image dimensions don't match, cannot calculate PSNR.")
process_success = False
else:
psnr = compare_psnr(original_img, watermarked_img)
comments.append(f"📐 PSNR: {psnr:.2f} dB")
comments.append(f"🎯 Watermark match: {'100%' if match else '0%'}")
comments.append(f"🎯 PSNR ≥ 40.0: {'✅ Passed' if psnr >= 40.0 else '❌ Failed'}")
final_result_success = match and (psnr >= 40.0)
except Exception as e:
comments.append(f"❌ Exception occurred during execution: {str(e)}")
process_success = False
# Return structured results
return {
"Process": process_success,
"Result": final_result_success,
"TimePoint": time_point,
"comments": "\n".join(comments)
}
def write_to_jsonl(path, data):
try:
os.makedirs(os.path.dirname(path), exist_ok=True)
with open(path, 'a', encoding='utf-8') as f:
f.write(json.dumps(data, ensure_ascii=False, default=str) + "\n")
print(f"✅ Test results saved to {path}")
except Exception as e:
print(f"❌ Failed to write JSONL: {e}")
if __name__ == "__main__":
parser = argparse.ArgumentParser(description="Extract and evaluate 64-bit watermark accuracy and PSNR")
parser.add_argument("--groundtruth", required=True, help="Path to original image")
parser.add_argument("--watermark", required=True, help="Expected 64-bit watermark (8 characters)")
parser.add_argument("--output", required=True, help="Path to watermarked image")
parser.add_argument("--result", help="Path to save results in JSONL format")
args = parser.parse_args()
result = evaluate_watermark(args.groundtruth, args.watermark, args.output)
if args.result:
write_to_jsonl(args.result, result)