pythonav资源分享登录流程：

版一：
import time
from selenium import webdriver
from aip import AipOcr


def initial():
    """ 初始化连接 """
    APP_ID = '16611607'
    API_KEY = 'wAIXfXOUS8ztLa4FrK3rZex1'
    SECRET_KEY = '3b8nvjSGUZq0LPC18VVAizKYRBbny6Mq'
    return AipOcr(APP_ID, API_KEY, SECRET_KEY)


def get_file_content(filePath):
    """ 读取图片 """
    print(333, filePath)
    with open(filePath, 'rb') as f:
        return f.read()


def selenium_msg():
    """保存到本地图片验证码"""
    driver = webdriver.Chrome()
    try:
        driver.get("https://pythonav.com/login/")
        time.sleep(1)
        obj = driver.find_element_by_class_name('navbar-brand')
        # 获取文本
        print(obj.text)
        # 获取标签名
        print(obj.tag_name)
        # 获取标签的属性
        print(obj.get_attribute('href'))
        obj.click()
        # 获取图片验证码标签名
        div_obj = driver.find_element_by_class_name('col-xs-7')
        div_obj.find_element_by_id('id_code').send_keys('休息休息')
        # 获取鼠标悬浮样式
        obj = driver.find_element_by_class_name('btn-primary').value_of_css_property("cursor")
        obj = driver.find_element_by_class_name('btn-primary')
        # 获取鼠标悬浮样式
        print(obj.value_of_css_property('cursor'))
        # 获取颜色
        print(obj.value_of_css_property('cursor'))
        # 获取图标尺寸
        print(obj.value_of_css_property('font-size'))
        # 输入用户密码
        driver.find_element_by_id('id_username').send_keys('刘亚洲')
        time.sleep(1)
        driver.find_element_by_id('id_password').send_keys('dsb123')
        time.sleep(1)

        # 保存验证码
        image = driver.find_element_by_id("image_code")
        print(image.size)
        file_path = "b.png"
        image.screenshot(file_path)

        # 百度ai相关
        client = initial()
        image = get_file_content(file_path)
        print(444, image)
        # 调用通用文字识别, 图片参数为本地图片
        res1 = client.basicGeneral(image)
        # 调用通用文字识别（高精度版）
        res2 = client.basicAccurate(image)
        print(555, res1)
        print(666, res1["words_result"][0]["words"])  # 拿到验证码
        # 找到验证码的id并输入验证码：
        driver.find_element_by_id("id_code").send_keys(res1["words_result"][0]["words"])
        time.sleep(1)
        # 找到登录并点击：
        driver.find_element_by_class_name("btn-primary").click()
        a = ''
        for text in res1:
            print(text)
    finally:
        time.sleep(1)
        driver.quit()
    return file_path


if __name__ == '__main__':
    selenium_msg()
    # 调用通用文字识别, 图片参数为远程url图片
    # res3 = client.basicGeneralUrl(
    #     'https://img2018.com/blog/1168165/201906/1168165-20190623215706582-962703809.png')
    # for text in res1['words_result']:
    #     print(text['words'])

效果：

输出结果：

{'height': 30, 'width': 120}
333 b.png
444 b'\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00x\x00\x00\x00\x1e\x08\x06\x00\x00\x00\xe7\xc9\xda\x95\x00\x00\x00\x01sRGB\x00\xae\xce\x1c\xe9\x00\x00\x03QIDATh\x81\xedZ\xb1N\xe40\x10}\x83\xae:\x89\x1aA\x0fHt\xec7\xa0+)\x10\xf0\x01HtG\x01\x12\x7f@\x87\xc4\x17 >\x80\x02jZzz\xd8\x06*\x04=W\xcf\x159\x9f\xed\xc4\xe3\xd8\xd9\xf1n\x82\xf2\xa4hW\x8e\xf3f<\xcfcO\xbcK\xcc\xccH\x04\x11!\xa3\xbb*\x87\x86\xedR\xe8\xe2\xdb\xbc\xc6C9\x02\'\x93\xf6X\x8c>\x83\x88\x00@\x8c]\xa7\x89$\t\\Z\xa4\xb6\xc1\xe4\xf0\x8c\x93I\xc6R\xbd\xc1\x04>\x84\xd8\xbd\xdc\xbe\xcc\xac"\xccw\x167\'\xde\x12\x1a\x02\x9b\x80\x85\x02\x97\x13L\xb7\xaf\x86\xa3#\xba\xa1!p\t\x94\xce\xb2\xfa\x04\x1a\xd2\x84\x8a\xf9\xaa\x117u\x81\x89\xaak\xd1\xd0\xdcNJ@\xa3\x06!\xa2\xd6-U\xbd\x8a6\xf6\xe6\xb15\xc6t\xd1\xb6/\xd9\xea{\t0\x97%\xba\x04\xdc\x89T\xbf\xbas\xfa*N&q[}\x85\x9b\xd9\x83\xcd`\xa2\xf9\xae\x12}\x164\x86b\x19\x9c\xb2\xad\xb5\xed!\x12..\xday5prR}\x0eU\\\xa0`\x06\x03U`\x96\x97\x81\xaf/\xbfmVL\xa7\xc0\xe6\xa6.g\x08\xf5\xb1\x0c\x11j\x19l\xabB\xb7\xad\x12\xd7\xdd\xb34\x92kc\xa3i\xe7\xee.\x8f\xa3\xcf\xafR\x9f\x9f\xf6m$t}|\xc4\x9f7+#\x11\xe9\t,-\x04n\xb3+\xb2F|\x99\x81\xf3\xf3\xea\xfb\xde\xdel\\!\xc1\x17\x91\xb5\xbb\xbb\xc0\xca\x8a\xb5_\xf9@\xce\x05\xac\xae\x92\'b\xfd2\xa7\x84\xcc\xdc\\\xa2u~1\xb2\x0ev\xb9\xdf\xc5\x96\x0bMa\xea\xc5\\xb\xb6\x1f\xcb\xca\xfc\xa1g\xb9\xc1i8rc\'\x1eU\xf6\rRA\xe6\xbe\xb6\xec\xef\x9b\xbe\xf6\x99T^\xe9\xf2\xfb\x00\xc0\x04~F\xfd\x06\xc0^\xd6\xe4\xd8p\x9fcf\x1c\x1e\xda\xa3\xe2:\xe7\xebk\xfe\xe4\r\x16Y\xb3f\xb1v\x06\xc7N}\xe4\x0c\xf8\xdf#\xca\xdd6\xce&}\xbb\xbd:g\xceqdJa\x97S\xfc\xfd\x90n\x94\xfe\x19n:\xf5m\xa5@\xea\x17\n\x12\xb3\xf9l\x130\xc5\xb6\xe1\xf8\x15c\x82/\xb4\xec\xdf,x{s\xc7V\xf3 \xa0Y\xebkR\xaa\xd0~\xa0~\x02\xf8\x039{\xe4=F\x13\xeeJ!\x8d#G\xe06\x17\xb5\x0e_\x88\xaa\xd7\xc0\xe7\xe7v[m6\xc5\x0c6\xb0\x9b{\xfaRg\x03\x1b\n\xa8|\xaf\x04\x1e\x1f\xad\xbd\xd4\x15\xa0\x0e"\xe0\xf22\x1e\xcc\xedm\xdb7F\x97\x9a0//2\x97\xad1\x80\x87\x878O\xa1\xbf\xecT\x9f\xcc\xc0\xfb;\xb0\xb6\xd6l\x9f\x07*{:\xff\x1c1|\xb7\xb7\xc0\xc1\x81d\x0b\xffl\xcdl*)V)YL\xcc\xcc\xda\xfb\xad4\xd8.\x02\xc7|3\x02\xc6V\n\xd7\x9eV\xf1\xe8\xf2\x96:Uk\x9b0\xee\xfd\xf5u\xbf\xa6q\xb1T\x11\xe4\xbe\xa7\xa5\xc3=\x81\xa9l\xe5=\x1f\xf3mk\x0b\x008x\xdac\x9fO\xe3j\xfa\x1d\x1e\xf7\xce\x8e\xcf[?U\xd3\x84\xe1==\xb5m\xf7\xf7\xd5\xf8\x8e\x8e\xec}I\\@\xb1\xc8*\x89E\xf9 \x17f\xe1\xfe%\\\xbc\xbe\x06\x8e\x8fe;F\xec\x9b\x1b!\xd3]\x81\xfb \xe6\x08\x1fD\xc0\xd9\x19pu\xe5\xb7O&\xc0\xd3S\xc2R^\xa2\xc8\x1a\xd1\x1f\x0c\xf6\x1f\x1d#\xd2\xb0\x04\xf4\xfb\xa7\xb3\xa1C:COm\xcb\xb1\x13l\x1f\x97\xe8\xef\x01\xa9~\x1a\x97\xe8\x1e\xa2K&Ky\xfa\x17\x8cg\xf2\xceP\x15\xca\xe9\x00\x00\x00\x00IEND\xaeB`\x82'
555 {'log_id': 8235000937407263369, 'words_result_num': 1, 'words_result': [{'words': '飞'}]}
666 飞
log_id
words_result_num
words_result
版二：

import time
from selenium import webdriver
from aip import AipOcr


def initial():
    """ 初始化连接 """
    APP_ID = '16611607'
    API_KEY = 'wAIXfXOUS8ztLa4FrK3rZex1'
    SECRET_KEY = '3b8nvjSGUZq0LPC18VVAizKYRBbny6Mq'
    return AipOcr(APP_ID, API_KEY, SECRET_KEY)


def get_file_content(filePath):
    """ 读取图片 """
    print(333, filePath)
    with open(filePath, 'rb') as f:
        return f.read()


def selenium_msg():
    """保存到本地图片验证码"""
    driver = webdriver.Chrome()
    try:
        driver.get("https://pythonav.com/login/")
        time.sleep(1)
        # 输入用户密码
        driver.find_element_by_id('id_username').send_keys('刘亚洲')
        time.sleep(1)
        driver.find_element_by_id('id_password').send_keys('dsb123')
        time.sleep(1)

        # 保存验证码
        image = driver.find_element_by_id("image_code")
        print(image.size)
        file_path = "b.png"
        image.screenshot(file_path)

        # 百度ai相关
        client = initial()
        image = get_file_content(file_path)
        print(444, image)
        # 调用通用文字识别, 图片参数为本地图片
        res1 = client.basicGeneral(image)
        # 调用通用文字识别（高精度版）
        res2 = client.basicAccurate(image)
        print(555, res1)
        print(666, res1["words_result"][0]["words"])  # 拿到验证码
        # 找到验证码的id并输入验证码：
        driver.find_element_by_id("id_code").send_keys(res1["words_result"][0]["words"])
        time.sleep(1)
        # 找到登录并点击：
        driver.find_element_by_class_name("btn-primary").click()
        a = ''
        for text in res1:
            print(text)
    finally:
        time.sleep(1)
        driver.quit()
    return file_path


if __name__ == '__main__':
    selenium_msg()
    # 调用通用文字识别, 图片参数为远程url图片
    # res3 = client.basicGeneralUrl(
    #     'https://img2018.com/blog/1168165/201906/1168165-20190623215706582-962703809.png')
    # for text in res1['words_result']:
    #     print(text['words'])

版三：

import time
import random
from selenium import webdriver
#导入PIL模块和Image：
from PIL import Image
#导入expected_conditions预期包判断标题是否正确：
from selenium.webdriver.support import expected_conditions as EC
#导入WebDriverWait
from selenium.webdriver.support.wait import WebDriverWait
#导入by:
from selenium.webdriver.common.by import By
from aip import AipOcr
driver = webdriver.Chrome()
driver.maximize_window()
driver.get("https://pythonav.com/login/")
#操作滚轮滑动到底部：
# driver.execute_script("window.scrollTo(0,document.body.scrollHeight);")
#保存整个页面的图片用save_screenshot：
driver.save_screenshot("D:\s27\老师还没有讲的\imooc.png")
#获取定位验证码图片元素的id：
code_element = driver.find_element_by_id("image_code")
#拿到图片的坐标值用location：
print(code_element.location)    #结果是：{"x":123,"y":345}
#拿到左边x的值：
left = code_element.location["x"]
#拿到右边y的值：
top = code_element.location["y"]
#通过size拿到图片的宽度和高度：
right = code_element.size["width"] + left
height = code_element.size["height"] + top
#打开图片：
# im = Image.open("D:\s27\老师还没有讲的\imooc.png")
#按照一定坐标裁剪图片用crop：
# img = im.crop((left,top,right,height))
#保存图片为imooc1.png：
# img.save("D:\s27\老师还没有讲的\imooc.png")
image = Image.open("D:\s27\老师还没有讲的\imooc.png")
cropped_image = image.crop((left,top,right,height))
cropped_image.save("D:\s27\老师还没有讲的\imooc1.png")
image = Image.open("D:\s27\老师还没有讲的\imooc1.png").convert("L")
cropped_image = image.crop((0,0,45,50))
cropped_image.save("cropped_image.png")

#图像去杂、清理干扰因子：
pixel_matrix = cropped_image.load()
for col in range(0,cropped_image.height):
    for row in range(0,cropped_image.width):
        if pixel_matrix[row,col] != 0:
            pixel_matrix[row,col] = 255
            image.save("thresholded_image.png")

# 去除图像中的黑点：
for column in range(1,image.height - 1):
    for row in range(1,image.width - 1):
        if pixel_matrix[row,column] == 0 and pixel_matrix[row,column - 1] == 255 and pixel_matrix[row,column + 1] == 255:
            pixel_matrix[row,column] = 255
        if pixel_matrix[row,column] == 0 and pixel_matrix[row - 1,column] == 255 and pixel_matrix[row + 1,column] == 255:
            pixel_matrix[row,column] = 255

def initial():
    """ 初始化连接 """
    APP_ID = '16611607'
    API_KEY = 'wAIXfXOUS8ztLa4FrK3rZex1'
    SECRET_KEY = '3b8nvjSGUZq0LPC18VVAizKYRBbny6Mq'
    return AipOcr(APP_ID, API_KEY, SECRET_KEY)

def get_file_content(filePath):
    """ 读取图片 """
    with open(filePath, 'rb') as f:
        return f.read()

if __name__ == '__main__':
    client = initial()
    image = get_file_content('thresholded_image.png')
    res1 = client.basicGeneral(image)  # 调用通用文字识别, 图片参数为本地图片
    res2 = client.basicAccurate(image)  # 调用通用文字识别（高精度版）
    # 调用通用文字识别, 图片参数为远程url图片
    res3 = client.basicGeneralUrl('https://img201.com/blog/1168165/201906/1168165-20190623215706582-962703809.png')
    print(111,res2)  # 返回结果
    for text in res2['words_result']:
        print(text['words'])