|
|
| import os
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| import argparse
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| import json
|
| from datetime import datetime
|
| import cv2
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| import numpy as np
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| from skimage.metrics import peak_signal_noise_ratio as psnr
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| from PIL import Image, UnidentifiedImageError
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|
|
| def verify_image(path, exts=('.png', '.jpg', '.jpeg', '.webp')):
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| """Verify file exists, is non-empty, has valid extension, and can be opened by PIL."""
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| if not os.path.isfile(path):
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| return False, f'File not found: {path}'
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| if os.path.getsize(path) == 0:
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| return False, f'File is empty: {path}'
|
| if not path.lower().endswith(exts):
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| return False, f'Unsupported format: {path}'
|
| try:
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| img = Image.open(path)
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| img.verify()
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| except (UnidentifiedImageError, Exception) as e:
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| return False, f'Cannot read image: {path} ({e})'
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| return True, ''
|
|
|
| def evaluate_psnr(input_img_path, output_img_path):
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| """Read images and calculate PSNR"""
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| img1 = cv2.imread(input_img_path)
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| img2 = cv2.imread(output_img_path)
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| img1 = cv2.cvtColor(img1, cv2.COLOR_BGR2RGB)
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| img2 = cv2.cvtColor(img2, cv2.COLOR_BGR2RGB)
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|
|
| if img1.shape != img2.shape:
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| img2 = cv2.resize(img2, (img1.shape[1], img1.shape[0]))
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|
|
| return psnr(img1, img2)
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|
|
| if __name__ == "__main__":
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| parser = argparse.ArgumentParser(description="PSNR image quality evaluation")
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| parser.add_argument('--groundtruth', required=True, help='Original image path')
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| parser.add_argument('--output', required=True, help='Reconstructed image path')
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| parser.add_argument('--result', required=True, help='Path to save results as JSONL')
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| args = parser.parse_args()
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|
|
| process = True
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| comments = []
|
|
|
|
|
| for tag, path in [('input', args.groundtruth), ('output', args.output)]:
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| ok, msg = verify_image(path)
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| if not ok:
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| process = False
|
| comments.append(f'[{tag}] {msg}')
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|
|
|
|
| psnr_val = None
|
| if process:
|
| try:
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| psnr_val = evaluate_psnr(args.groundtruth, args.output)
|
| result_flag = psnr_val > 10
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| comments.append(f'PSNR={psnr_val:.2f} (>10 → {"PASS" if result_flag else "FAIL"})')
|
| except Exception as e:
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| process = False
|
| result_flag = False
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| comments.append(f'PSNR calculation error: {e}')
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| else:
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| result_flag = False
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|
|
|
|
| entry = {
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| "Process": process,
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| "Result": result_flag,
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| "TimePoint": datetime.now().isoformat(sep='T', timespec='seconds'),
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| "comments": "; ".join(comments)
|
| }
|
| print(entry["comments"])
|
| os.makedirs(os.path.dirname(args.result) or '.', exist_ok=True)
|
| with open(args.result, 'a', encoding='utf-8') as f:
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| f.write(json.dumps(entry, ensure_ascii=False, default=str) + "\n")
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|
|
|
|
| print("\nTest complete - Final status: " + ("PASS" if result_flag else "FAIL")) |
