File size: 3,219 Bytes
7af9a4a |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 |
from PIL import Image, ImageDraw, ImageFont
import os
from typing import Dict, Any
import cv2
import numpy as np
def add_watermark(image: Image.Image, watermark_text: str, opacity: float = 0.5) -> Image.Image:
"""
Add a semi-transparent text watermark directly to a PIL Image.
Args:
image: PIL Image object to watermark
watermark_text: Text to use as watermark
opacity: Opacity of the watermark (0.1-1.0)
Returns:
PIL Image with watermark added
"""
from PIL import ImageDraw, ImageFont
overlay = Image.new('RGBA', image.size, (255, 255, 255, 0))
draw = ImageDraw.Draw(overlay)
try:
font_size = min(image.width, image.height) // 20
font = ImageFont.truetype("arial.ttf", font_size)
except:
font = ImageFont.load_default()
bbox = draw.textbbox((0, 0), watermark_text, font=font)
text_width = bbox[2] - bbox[0]
text_height = bbox[3] - bbox[1]
x = (image.width - text_width) // 2
y = (image.height - text_height) // 2
alpha_value = int(255 * opacity)
text_color = (255, 255, 255, alpha_value)
shadow_color = (0, 0, 0, int(alpha_value * 0.5))
draw.text((x-2, y-2), watermark_text, fill=shadow_color, font=font)
draw.text((x, y), watermark_text, fill=text_color, font=font)
watermarked = Image.alpha_composite(image.convert('RGBA'), overlay)
return watermarked.convert('RGB')
def remove_watermark(image_path: str, alpha: float = 2.0, beta: float = -160) -> Dict[str, Any]:
"""
Attempt to remove watermarks from an image using contrast and brightness adjustment.
Args:
image_path: The path to the input image file.
alpha: Contrast control (1.0-3.0, default 2.0). Higher values increase contrast.
beta: Brightness control (-255 to 255, default -160). Negative values decrease brightness.
Returns:
A dictionary containing success status, file paths, and operation details.
On success: success=True, input_path, output_path, output_size_bytes, alpha, beta, message.
On failure: success=False, error message, input_path, output_path=None.
"""
try:
img = cv2.imread(image_path)
if img is None:
raise ValueError("Could not load image")
new = alpha * img + beta
new = np.clip(new, 0, 255).astype(np.uint8)
base_dir = os.path.dirname(image_path)
base_name, ext = os.path.splitext(os.path.basename(image_path))
new_filename = f"{base_name}_cleaned{ext}"
new_path = os.path.join(base_dir, new_filename)
cv2.imwrite(new_path, new)
output_size = os.path.getsize(new_path)
return {
"success": True,
"message": "Watermark removal attempted successfully",
"input_path": image_path,
"output_path": new_path,
"output_size_bytes": output_size,
"alpha": alpha,
"beta": beta
}
except Exception as e:
return {
"success": False,
"error": str(e),
"input_path": image_path,
"output_path": None
} |