自学教程：python自动化调用百度api解决验证码

from selenium import webdriverfrom PIL import Imageimport base64import requestsimport timedef baidu_api(Verification_code, AK, SK):#Verification_code验证码路径,AK,SK百度云的身份识别码    chrome.get_screenshot_as_file('reg.png')  # 获取登陆页面的图片    code_img = chrome.find_element_by_xpath(Verification_code)  # 找到验证码图片的位置    img = Image.open('reg.png')# 保存图片    c_img = img.crop((code_img.location['x'], code_img.location['y'], code_img.location['x'] + code_img.size['width'],                      code_img.location['y'] + code_img.size['height']))  # 截取验证码图片    c_img.save('reg_code.png')    host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&' /            'client_id='+AK+'&' /            'client_secret='+ SK    response = requests.get(host)    token = response.json()['access_token']    request_url = "https://aip.baidubce.com/rest/2.0/ocr/v1/accurate_basic"    f = open('reg_code.png', 'rb')# 二进制方式打开图片文件    img = base64.b64encode(f.read())    params = {"image": img}    access_token = token    request_url = request_url + "?access_token=" + access_token    headers = {'content-type': 'application/x-www-form-urlencoded'}    response = requests.post(request_url, data=params, headers=headers)    dict_a = response.json()['words_result']    if response:        dict_a = eval(str(dict_a)[1:-1])#数据类型的格式转换        dict_a = dict(dict_a)#转化为字典类型        dict_a = dict_a['words']        dict_a = "".join(dict_a.split())  # 使用一个空字符串合成列表内容生成新的字符串        dict_a = dict_a.lower()#把大写字母改为小写字母        return dict_a    else:        chrome.refresh()chrome = webdriver.Chrome()#浏览器实例化chrome.maximize_window()#最大化浏览器chrome.get('自己登陆的网址')test = baidu_api(Verification_code, AK, SK)#返回识别的验证码chrome = webdriver.Chrome()print(test)#验证码