使用Python高效解决携程中文点选验证码识别并自动登陆的方法

import base64
import json
import requests
# 复制以下代码，只需填入自己的账号密码、待识别的图片路径即可。
# 关于ID：选做识别的模型ID，会自动生成，无需修改。
def b64_api(username, password, img_path, ID):
    with open(img_path, 'rb') as f:
        b64_data = base64.b64encode(f.read())
    b64 = b64_data.decode()
    data = {"username": username, "password": password, "ID": ID, "b64": b64}
    data_json = json.dumps(data)
    result = json.loads(requests.post("http://www.tulingtech.xyz/tuling/predict", data=data_json).text)
    return result
if __name__ == "__main__":
    img_path = "C:/Users/Administrator/Desktop/file.jpg"
    result = b64_api(username="你的账号", password="你的密码", img_path=img_path, ID="82927344")
    print(result)

import base64
import json
import requests

# 复制以下代码，只需填入自己的账号密码、待识别的图片路径即可。
# 关于ID：选做识别的模型ID，会自动生成，无需修改。

def b64_api(username, password, img_path, ID):
    with open(img_path, 'rb') as f:
        b64_data = base64.b64encode(f.read())
    b64 = b64_data.decode()
    data = {"username": username, "password": password, "ID": ID, "b64": b64}
    data_json = json.dumps(data)
    result = json.loads(requests.post("http://www.tulingtech.xyz/tuling/predict", data=data_json).text)
    return result

if __name__ == "__main__":
    img_path = "C:/Users/Administrator/Desktop/file.jpg"
    result = b64_api(username="你的账号", password="你的密码", img_path=img_path, ID="09322322")
    print(result)