是的,张檬隆鼻了。她自己承认于2016年进行了隆鼻手术,目的是改善其驼峰鼻。
张檬鼻子整容取出的时间:2022年6月23日
截至目前(2023 年 2 月),张檬尚未公开宣布过她的鼻子修复是否已完成。不过,根据她的社交媒体动态和采访,可以推测她已经多次进行鼻子修复手术,并对目前的结果感到满意。她表示,她希望通过修复手术来恢复面部的自然美,并避免过度矫正。
import numpy as np
import base64
def add_text_to_image(image_path, text, font_path, position, fill_color, font_size):
"""
Adds text to an image.
Args:
image_path: Path to the input image.
text: Text to add to the image.
font_path: Path to the font file.
position: Position of the text on the image.
fill_color: Color of the text.
font_size: Size of the font.
Returns:
The image with the added text.
"""
Load the image.
image = Image.open(image_path)
Create an ImageDraw object.
draw = ImageDraw.Draw(image)
Load the font.
font = ImageFont.truetype(font_path, font_size)
Get the width and height of the text.
text_width, text_height = draw.textsize(text, font=font)
Get the position of the text on the image.
x, y = position
Draw the text on the image.
draw.text((x, y), text, fill=fill_color, font=font)
Return the image with the added text.
return image
import io
import os
Function to convert PIL/pillow to base64
def pil2b64(pil_image):
Convert to string buffer
b = io.BytesIO()
pil_image.save(b, format='PNG')
b.seek(0)
base64_image_string = 'data:image/png;base64,' + base64.b64encode(b.read()).decode()
return base64_image_string
Path to the input image.
image_path = 'zhangmengbefore.jpg'
Text to add to the image.
text = '鼻中隔取出'
Path to the font file.
font_path = 'simhei.ttf'
Position of the text on the image.
position = (10, 10)
Color of the text.
fill_color = 'red'
Size of the font.
font_size = 30
Add the text to the image.
image = add_text_to_image(image_path, text, font_path, position, fill_color, font_size)
Convert PIL/pillow to base64
response = pil2b64(image)
Print the base64 encoded image.
print(response)