一.官方文档 https://pypi.org/project/muggle-ocr/ 二模块安装 pip install muggle-ocr# 因模块过新,阿里/清华等第三方源可能尚未更新镜像,因此手动指定使用境外源,为了提高依赖的安装速度,可
一.官方文档
https://pypi.org/project/muggle-ocr/
二模块安装
pip install muggle-ocr # 因模块过新,阿里/清华等第三方源可能尚未更新镜像,因此手动指定使用境外源,为了提高依赖的安装速度,可预先自行安装依赖:tensorflow/numpy/opencv-python/pillow/pyyaml
三.使用代码
# 导入包 import muggle_ocr # 初始化;model_type 包含了 ModelType.OCR/ModelType.Captcha 两种 sdk = muggle_ocr.SDK(model_type=muggle_ocr.ModelType.OCR) # ModelType.OCR 可识别光学印刷文本 这里个人觉得应该是官方文档写错了 官方文档是ModelType.Captcha 可识别光学印刷文本 with open(r"test1.png", "rb") as f: b = f.read() text = sdk.predict(image_bytes=b) print(text) # ModelType.Captcha 可识别4-6位验证码 sdk = muggle_ocr.SDK(model_type=muggle_ocr.ModelType.Captcha) with open(r"test1.png", "rb") as f: b = f.read() text = sdk.predict(image_bytes=b) print(text)
PS:下面看下 Python 实现全自动登录(真正的全自动,自动识别验证码)
你没有看错,全自动验证~~~
黑科技?还是黑代码?
我感觉这个看在你用啥,对不对?反正我用来(* * * * ) 你懂得
好了,先说一下用到的东西
- selenium (本意是用来全自动测试)
- Phantomjs (一种没有界面的浏览器)
- ** 验证码识别器(一块钱可用100次的这种)
关门放代码
from selenium import webdriver from PIL import Image if __name__ == '__main__': wbe = webdriver.PhantomJS() wbe.get("http://img.558idc.com/uploadfile/allimg/python/xpath路径 left = element.location['x'] top = element.location['y'] right = element.location['x'] + element.size['width'] bottom = element.location['y'] + element.size['height'] im = Image.open(r'登录页.png')//全页面截屏 im = im.crop((left, top, right, bottom)) im.save('验证码.png')
#!/usr/bin/env python # coding:utf-8 import requests from hashlib import md5 class RClient(object): def __init__(self, username, password, soft_id, soft_key): self.username = username self.password = md5(password).hexdigest() self.soft_id = soft_id self.soft_key = soft_key self.base_params = { 'username': self.username, 'password': self.password, 'softid': self.soft_id, 'softkey': self.soft_key, } self.headers = { 'Connection': 'Keep-Alive', 'Expect': '100-continue', 'User-Agent': 'ben', } def rk_create(self, im, im_type, timeout=60): """ im: 图片字节 im_type: 题目类型 """ params = { 'typeid': im_type, 'timeout': timeout, } params.update(self.base_params) files = {'image': ('a.png', im)} r = requests.post('http://api.ruokuai.com/create.json', data=params, files=files, headers=self.headers) return r.json() def rk_report_error(self, im_id): """ im_id:报错题目的ID """ params = { 'id': im_id, } params.update(self.base_params) r = requests.post('http://api.ruokuai.com/reporterror.json', data=params, headers=self.headers) return r.json() def get_code(): rc = RClient('用户名', '密码', '94522', '62c235939b7240879453f31603733fd6')//想拿下测试的留言我,教你拿到测试账号 im = open('a.png', 'rb').read() print rc.rk_create(im, 3040)
完整代码
#!/usr/bin/env python # coding:utf-8 from selenium import webdriver from PIL import Image import requests from hashlib import md5 import time class RClient(object): def __init__(self, username, password, soft_id, soft_key): self.username = username self.password = md5(password.encode("utf-8")).hexdigest() self.soft_id = soft_id self.soft_key = soft_key self.base_params = { 'username': self.username, 'password': self.password, 'softid': self.soft_id, 'softkey': self.soft_key, } self.headers = { 'Connection': 'Keep-Alive', 'Expect': '100-continue', 'User-Agent': 'ben', } def rk_create(self, im, im_type, timeout=60): """ im: 图片字节 im_type: 题目类型 """ params = { 'typeid': im_type, 'timeout': timeout, } params.update(self.base_params) files = {'image': ('a.png', im)} r = requests.post('http://api.ruokuai.com/create.json', data=params, files=files, headers=self.headers) return r.json() def rk_report_error(self, im_id): """ im_id:报错题目的ID """ params = { 'id': im_id, } params.update(self.base_params) r = requests.post('http://api.ruokuai.com/reporterror.json', data=params, headers=self.headers) return r.json() def get_code(im_file): rc = RClient('账号', '密码', '94522', '62c235939b7240879453f31603733fd6') im_source = open(im_file, "rb").read() print(rc.rk_create(im_source, 3040)) if __name__ == '__main__': wbe = webdriver.PhantomJS() wbe.get("https://www.dajiang365.com/login/index.html") time.sleep(2) wbe.save_screenshot("das.png") element = wbe.find_element_by_xpath('//*[@id="entry_name"]/p[3]/img') left = element.location['x'] top = element.location['y'] right = element.location['x'] + element.size['width'] bottom = element.location['y'] + element.size['height'] im = Image.open(r'das.png') im = im.crop((left, top, right, bottom)) im.save('a.png') time.sleep(2) get_code("a.png")
总结
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