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本课程使用的是 超级鹰 打码平台， 没有账户的请自行注册！
超级鹰验证码识别-专业的验证码云端识别服务,让验证码识别更快速、更准确、更强大
使用打码平台来攻破验证码难题， 是很简单容易的， 但是要钱！
案例代码及测试资源：
git clone https://github.com/Python3WebSpider/CaptchaPlatform.git
使用git 将资源拽取下来， 然后你会发现多了一个文件夹， 文件夹中有一个chaojiying.py 文件， 这里面就是基于官方 SDK 改写的代码：
username: 用户名 ， 你注册的超级鹰用户。
password：密码
soft_id: 软件ID。
import requests from hashlib import md5 class Chaojiying(object): def __init__(self, username, password, soft_id): self.username = username self.password = md5(password.encode('utf-8')).hexdigest() self.soft_id = soft_id self.base_params = { 'user': self.username, 'pass2': self.password, 'softid': self.soft_id, } self.headers = { 'User-Agent': 'Mozilla/4.0 (compatible; MSIE 8.0; Windows NT 5.1; Trident/4.0)', } def post_pic(self, im, codetype): """ im: 图片字节 codetype: 题目类型 参考 http://www.chaojiying.com/price.html """ params = { 'codetype': codetype, } params.update(self.base_params) files = {'userfile': ('ccc.jpg', im)} r = requests.post('http://upload.chaojiying.net/Upload/Processing.php', data=params, files=files, headers=self.headers) return r.json() def report_error(self, im_id): """ im_id:报错题目的图片ID """ params = { 'id': im_id, } params.update(self.base_params) r = requests.post('http://upload.chaojiying.net/Upload/ReportError.php', data=params, headers=self.headers) return r.json()
图片验证码：
CAPTCHA_KIND 则为图片的类型， 可以在 验证码类型与价格表-超级鹰验证码识别 看到。
from chaojiying import Chaojiying USERNAME = '136xxxx108' PASSWORD = 'xxxxxx' SOFT_ID = 'xxxxxxxx' CAPTCHA_KIND = '1006' FILE_NAME = 'captcha1.png' client = Chaojiying(USERNAME, PASSWORD, SOFT_ID) result = client.post_pic(open(FILE_NAME, 'rb').read(), CAPTCHA_KIND) print(result)点选验证码：
from chaojiying import Chaojiying USERNAME = 'xxx' PASSWORD = '' SOFT_ID = 'xxxxxx' CAPTCHA_KIND = '9004' FILE_NAME = 'captcha2.png' client = Chaojiying(USERNAME, PASSWORD, SOFT_ID) result = client.post_pic(open(FILE_NAME, 'rb').read(), CAPTCHA_KIND) print(result)得到的响应结果为：
{'err_no': 0, 'err_str': 'OK', 'pic_id': '2256514491185230017', 'pic_str': '118,177|249,173', 'md5': 'e89f632e91cc6b8a85dad2fbbc13c803'}
可以看到图片的坐标信息为： '118,177|249,173' 使用opencv 技术来标记这个点测试一下：
import cv2 image = cv2.imread('captcha2.png') image = cv2.circle(image, (108, 133), radius=10, color=(0, 0, 255), thickness=-1) image = cv2.circle(image, (227, 143), radius=10, color=(0, 0, 255), thickness=-1) cv2.imwrite('captcha2_label.png', image)
滑块验证码：
from chaojiying import Chaojiying USERNAME = '136xxxx08' PASSWORD = 'hxxxxx.' SOFT_ID = '9xxxx' CAPTCHA_KIND = '9101' FILE_NAME = 'captcha5.png' client = Chaojiying(USERNAME, PASSWORD, SOFT_ID) result = client.post_pic(open(FILE_NAME, 'rb').read(), CAPTCHA_KIND) print(result){'err_no': 0, 'err_str': 'OK', 'pic_id': '1256519431185230022', 'pic_str': '218,96', 'md5': '627d620bccd9a6dd1366329b951f1511'}
使用OpenCV测试验证一下：
import cv2 image = cv2.imread('captcha2.png') image = cv2.circle(image, (231, 85), radius=10, color=(0, 0, 255), thickness=-1) cv2.imwrite('captcha3_label.png', image)
可以看到， 不是很准确， 我们可以向打码平台的工作人员传递一些信息， 尽可能的标记的准确一些：
from chaojiying import Chaojiying import cv2 from PIL import ImageFont, ImageDraw, Image import numpy as np import io def cv2_add_text(image, text, left, top, textColor=(255, 0, 0), text_size=20): image = Image.fromarray(cv2.cvtColor(image, cv2.COLOR_BGR2RGB)) draw = ImageDraw.Draw(image) font = ImageFont.truetype('simsun.ttc', text_size, encoding="utf-8") draw.text((left, top), text, textColor, font=font) return cv2.cvtColor(np.asarray(image), cv2.COLOR_RGB2BGR) USERNAME = '136XXXX08' PASSWORD = 'hXXXXXXXXXXX..' SOFT_ID = '9XXXXXXX2' CAPTCHA_KIND = '9101' FILE_NAME = 'captcha3.png' image = cv2.imread(FILE_NAME) image = cv2_add_text(image, '请点击目标滑块左上角', int(image.shape[1] / 10), int(image.shape[0] / 2), (255, 0, 0), 40) client = Chaojiying(USERNAME, PASSWORD, SOFT_ID) result = client.post_pic(io.BytesIO(cv2.imencode( '.png', image)[1]).getvalue(), CAPTCHA_KIND) print(result) 