本課程使用的是 超級鷹 打碼平臺， 沒有賬戶的請自行注冊！
超級鷹驗證碼識別-專業的驗證碼云端識別服務,讓驗證碼識別更快速、更準確、更強大
使用打碼平臺來攻破驗證碼難題， 是很簡單容易的， 但是要錢！
案例代碼及測試資源：
git clone https://github.com/Python3WebSpider/CaptchaPlatform.git
?使用git 將資源拽取下來， 然后你會發現多了一個文件夾， 文件夾中有一個chaojiying.py 文件， 這里面就是基于官方 SDK 改寫的代碼：
username: 用戶名 ， 你注冊的超級鷹用戶。
password：密碼
soft_id:? 軟件ID。
import requests
from hashlib import md5class Chaojiying(object):def __init__(self, username, password, soft_id):self.username = usernameself.password = md5(password.encode('utf-8')).hexdigest()self.soft_id = soft_idself.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: 圖片字節codetype: 題目類型 參考 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:報錯題目的圖片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()
圖片驗證碼：
CAPTCHA_KIND 則為圖片的類型， 可以在 驗證碼類型與價格表-超級鷹驗證碼識別?看到。
from chaojiying import ChaojiyingUSERNAME = '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)?點選驗證碼：
from chaojiying import ChaojiyingUSERNAME = '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)?得到的響應結果為：
{'err_no': 0, 'err_str': 'OK', 'pic_id': '2256514491185230017', 'pic_str': '118,177|249,173', 'md5': 'e89f632e91cc6b8a85dad2fbbc13c803'}
?可以看到圖片的坐標信息為： '118,177|249,173'? 使用opencv 技術來標記這個點測試一下：
import cv2image = 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)
?滑塊驗證碼：
from chaojiying import ChaojiyingUSERNAME = '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測試驗證一下：
import cv2image = 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， 不是很準確，? 我們可以向打碼平臺的工作人員傳遞一些信息， 盡可能的標記的準確一些：
from chaojiying import Chaojiyingimport cv2
from PIL import ImageFont, ImageDraw, Image
import numpy as np
import iodef 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, '請點擊目標滑塊左上角', 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)
