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import logging
from PIL import Image
import numpy as np
from pathlib import Path
class ImageAnalysis:
@staticmethod
def analyze_image(img_path):
if not img_path:
return {"error": "No image provided"}
try:
img = Image.open(img_path)
analysis = {
"dimensions": f"{img.width} x {img.height}",
"format": img.format,
"mode": img.mode,
"file_size": f"{Path(img_path).stat().st_size / 1024:.1f} KB",
"has_transparency": img.mode in ("RGBA", "LA") or "transparency" in img.info,
"color_palette": "Analyzed" if img.mode == "P" else "N/A"
}
if img.mode == "RGB":
img_array = np.array(img)
analysis["average_color"] = {
"red": int(np.mean(img_array[:,:,0])),
"green": int(np.mean(img_array[:,:,1])),
"blue": int(np.mean(img_array[:,:,2]))
}
analysis["brightness"] = int(np.mean(img_array))
return analysis
except Exception as e:
logging.exception("Image analysis failed")
return {"error": f"Analysis failed: {str(e)}"}
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