lzh
99 lines
3.5 KiB
Python
99 lines
3.5 KiB
Python
# -*- coding: utf-8 -*-
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# @Time :2023/5/4 8:02
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# @File : usual_code.py
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# @Software: PyCharm
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# 普通四字母验证码
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import time
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import cv2 as cv
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import pytesseract
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from PIL import Image
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import requests
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import numpy as np
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def recognize_text(image_url):
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# 使用OpenCV解码图像
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image = cv.imread(image_url)
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blur = cv.pyrMeanShiftFiltering(image, sp=8, sr=60)
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# 灰度图像
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gray = cv.cvtColor(blur, cv.COLOR_BGR2GRAY)
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# 二值化
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ret, binary = cv.threshold(gray, 0, 255, cv.THRESH_BINARY_INV | cv.THRESH_OTSU)
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print(f'二值化自适应阈值：{ret}')
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# 形态学操作 获取结构元素 开操作
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kernel = cv.getStructuringElement(cv.MORPH_RECT, (3, 2))
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bin1 = cv.morphologyEx(binary, cv.MORPH_OPEN, kernel)
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kernel = cv.getStructuringElement(cv.MORPH_OPEN, (2, 3))
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bin2 = cv.morphologyEx(bin1, cv.MORPH_OPEN, kernel)
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# 逻辑运算 让背景为白色 字体为黑 便于识别
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cv.bitwise_not(bin2, bin2)
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# 识别
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test_message = Image.fromarray(bin2)
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text = pytesseract.image_to_string(test_message)
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print(f'识别结果：{text}')
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def save_image(image_url,name="code.jpg"):
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# 图片保存到本地
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response = requests.get(image_url)
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with open(name, 'wb') as f:
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f.write(response.content)
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available = {
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# 中昱维信
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"https://vip.veesing.com/vip-web/register/vcode": {
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# 验证码地址
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"code": "https://vip.veesing.com/vip-web/register/photocode?timestamp=%s",
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# 发送验证码参数
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"parameter": {
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"phone": "18600000000",
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"code": "1234"
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},
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"headers": {
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"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
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"referer": "https://vip.veesing.com/",
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"User-Agent": "Mozilla/5.0 (Linux; Android 10; Redmi K30 Pro) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.72 Mobile Safari/537.36"
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}
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},
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# 逐浪小说
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"https://www.zhulang.com/home/login/sendCode.html": {
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"code": "https://www.zhulang.com/login/verify.html?_t=%s",
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"parameter": {
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"phone": "18600000000",
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"code": "1234"
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},
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# 验证码参数映射,如果验证码参数名不是code,则需要映射
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"map_param": {
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"code": "charcode"
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},
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"headers": {
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"Content-Type": "application/x-www-form-urlencoded; charset=UTF-8",
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"referer": "https://www.zhulang.com/login/phone.html",
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"User-Agent": "Mozilla/5.0 (Linux; Android 10; Redmi K30 Pro) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/90.0.4430.72 Mobile Safari/537.36"
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}
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}
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}
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for index,target in enumerate(available):
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img_name = "code_%s.jpg" % str(index)
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save_image(available[target]["code"] % str(time.time() * 1000),img_name)
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validate_code = recognize_text(img_name)
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if "map_param" in available[target]:
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for key in available[target]["map_param"]:
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available[target]["parameter"][available[target]["map_param"][key]] = validate_code
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# delte the old key
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del available[target]["parameter"][key]
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else:
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available[target]["parameter"]["code"] = validate_code
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available[target]["parameter"]["phone"] = "13886686058"
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# post提供表单数据
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response = requests.post(target, data=available[target]["parameter"], headers=available[target]["headers"])
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try:
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print(response.json())
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except:
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print(response.text)
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# for url in ["code.jpg","code_0.jpg","code_1.jpg"]:
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# recognize_text(url)
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