pip install MyQR

uv add MyQR

myqr.run(
    words='https://github.com',  # 目標鏈接
    save_name='basic_qr.png',    # 輸出文件名
)

def get_simple_qrcode(words, save_name):
    if save_name[-3:] in ["jpg", "png"]:
        myqr.run(
            words=words,
            save_name=save_name
        )
        print("已生成簡單二維碼，存儲至%s" % save_name)
    else:
        raise AttributeError("二維碼不支持保存為%s格式" % save_name[-3:])

myqr.run(
    words='Hello World!',
    picture='input.gif',         # 動態(tài)背景圖
    colorized=True,              # 啟用彩色
    save_name='animated_qr.gif', # 輸出動態(tài)二維碼
    version=6                    # 復(fù)雜度等級(1-40)
)

myqr.run(
    words='COLOR DEMO',
    picture='bg.jpg',
    colorized=True,
    contrast=1.2,
    brightness=0.8,
    save_name='color_qr.gif'
)

pip install pillow

uv add pillow

# 需要手動處理GIF時序
from PIL import Image

with Image.open('input.gif') as img:
    img.save('adjusted.gif', 
             save_all=True, 
             duration=100,  # 每幀時長(ms)
             loop=0)

from MyQR import myqr
import os


def get_img_qrcode(words, save_name, picture, version=6, colorized=True):
    if save_name[-3:] in ["jpg", "png", "gif"]:
        if picture[-3:] in ["png", "jpg", "gif"]:
            myqr.run(
                words=words,
                picture=picture,
                colorized=colorized,
                save_name=save_name,
                version=version
            )
            print("已生成圖片二維碼，存儲至%s" % save_name)
        else:
            raise AttributeError("不支持的圖片格式\t%s" % picture[-3:])
    else:
        raise AttributeError("二維碼不支持保存為%s格式" % save_name[-3:])
        
if __name__ == '__main__':
    url = "https://blog.csdn.net/Humbunklung"
    if not os.path.isdir("img_qrcode"):
        os.mkdir("img_qrcode")

    for root, dirs, files in os.walk("logo"):
        for file in files:
            get_img_qrcode(
                words=url,
                save_name=f"img_qrcode/qrcode_{file}",
                picture=os.path.join(root, file),
                colorized=True
            )

import cv2
img = cv2.imread('input.jpg')
adjusted = cv2.convertScaleAbs(img, alpha=1.2, beta=50)

import os

contents = ['link1', 'link2', 'link3']
for idx, text in enumerate(contents):
    myqr.run(
        words=text,
        picture=f'bg{idx%3}.gif',
        save_name=f'qr_{idx}.gif'
    )