1.Python 3.6 安装包
1.要加环境变量
2.pip安装PIL库
3.pip安装pytesseract模块
2.tesseract-ocr-setup-4.00.00dev.exe ---光学识别软件
D:\Tesseract-OCR\tessdata 要加入环境变量。
3.jTessBoxEditor-2.2.0.zip 训练字库 ---依赖java环境
a
del /a /f /q "C:\Program Files (x86)\Tesseract-OCR\tessdata\num.traineddata"
copy num.traineddata "C:\Program Files (x86)\Tesseract-OCR\tessdata\"
pause
b
del /a /f /q num.font.exp0.tr
del /a /f /q num.inttemp
del /a /f /q num.normproto
del /a /f /q num.pffmtable
del /a /f /q num.traineddata
del /a /f /q num.shapetable
del /a /f /q num.unicharset
del /a /f /q unicharset
pause
c
echo Run Tesseract for Training..
tesseract.exe num.font.exp0.tif num.font.exp0 nobatch box.train
echo Compute the Character Set..
unicharset_extractor.exe num.font.exp0.box
mftraining -F font_properties -U unicharset -O num.unicharset num.font.exp0.tr
echo Clustering..
cntraining.exe num.font.exp0.tr
echo Rename Files..
rename normproto num.normproto
rename inttemp num.inttemp
rename pffmtable num.pffmtable
rename shapetable num.shapetable
echo Create Tessdata..
combine_tessdata.exe num.
echo. & pause
d
tesseract num.font.exp0.tif num.font.exp0 batch.nochop makebox
4.实例脚本---
############################################################################################# # 为了不输入验证码,特别写了这个小脚本 # # 作者:brian # # 时间:20190109 # ############################################################################################# from selenium import webdriver from time import sleep from PIL import Image import pytesseract import datetime,time,random now = datetime.datetime.now() name = now.strftime("%Y%m%d_%H_%M_%S") week = datetime.datetime.now().weekday() #配置变量 url = "https://yq.aliyun.com/ziliao/4039425643653" user = "YourLoginName" password = "Qwe12345-*" def binarizing(img, threashold): img = img.convert("L") # 转灰度 pixdata = img.load() w, h = img.size for y in range(h): for x in range(w): if pixdata[x, y] < threashold: pixdata[x, y] = 0 else: pixdata[x, y] = 255 return img def removeFrame(img, width): ''' :param img: :param width: 边框的宽度 :return: ''' w, h = img.size pixdata = img.load() for x in range(width): for y in range(0, h): pixdata[x, y] = 255 for x in range(w - width, w): for y in range(0, h): pixdata[x, y] = 255 for x in range(0, w): for y in range(0, width): pixdata[x, y] = 255 for x in range(0, w): for y in range(h - width, h): pixdata[x, y] = 255 def write_log(data): """ 记录打卡成功的信息,并保存记录,最新记录在第一行。 """ with open(r"d:\user\7000000000\桌面\pic\打卡成功的记录.txt", 'r+') as f: content = f.read() f.seek(0, 0) f.write(data + "\n" + content) #避免被后台检测到老是同一时间打卡 delayTime = random.randint(1,10)*60 print("等待打卡时间是%s秒。" %delayTime) for i in range(1,delayTime): print("等待第%s秒."%i) time.sleep(1) print("开始打卡") while True: """ 因为会识别验证码出错,所以得多次循环去识别,直到识别对为止 """ try: dr = webdriver.Chrome() dr.maximize_window() dr.get(url) dr.find_element_by_xpath("//*[@id='username']").send_keys(user) dr.find_element_by_xpath("//*[@id='password']").send_keys(password) sleep(2) #获取验证码 dr.get_screenshot_as_file(r"d:\user\56765453345\桌面\pic\source\%s.png" % name) location = dr.find_element_by_class_name('yzmImg').location size = dr.find_element_by_class_name('yzmImg').size left = location['x'] top = location['y'] right = location['x'] + size['width'] bottom = location['y'] + size['height'] a = Image.open(r"d:\user\56765453345\桌面\pic\source\%s.png" % name) im = a.crop((left, top, right, bottom)) im.save(r"d:\user\56765453345\桌面\pic\source\%s.png" % name) pic1 = binarizing(im, 110) removeFrame(pic1, 3) pic1.save((r"d:\user\56765453345\桌面\pic\new\%s.tif" % datetime.datetime.now().strftime("%Y%m%d_%H_%M_%S"))) vcode = pytesseract.image_to_string(pic1,lang="num") new_vcode = vcode.replace(" ", "") varify_word = new_vcode if len(varify_word)!= 4 : print("验证码错误不等于4位",varify_word) dr.quit() continue else: print("验证码等于4位", varify_word) dr.find_element_by_xpath("//*[@id='verifyCode']").send_keys(varify_word) sleep(1) dr.find_element_by_xpath("//*[@id='loginForm']/div[5]/div/img").click() sleep(2) if dr.current_url == "https://yq.aliyun.com/ziliao/": print("登录百度系统失败") dr.quit() continue else: print("登录百度系统成功") except Exception as e: """登录过程的出错捕捉""" print("登录过程中出错了", e) dr.quit() continue sleep(2) if int(time.strftime("%H%M%S")) - 120000 <= 0: """判断打上班卡,还是下班卡(以中午12点基准判断)""" print("打上班卡去") try: if dr.find_element_by_xpath('//*[text()="上班签到"]').get_attribute("disabled") == "true": print("已经打过卡了,还打个毛线") dr.quit() break else: dr.find_element_by_xpath('//*[text()="上班签到"]').click() sleep(2) dr.refresh() sleep(2) if dr.find_element_by_xpath('//*[text()="上班签到"]').get_attribute("disabled") == "true": msg_log = "今天工作日是%s,星期%s,打上班卡成功了,打卡时间是%s." % (time.strftime("%Y-%m-%d"), week + 1, time.strftime("%H:%M:%S")) write_log(msg_log) print(msg_log) dr.quit() break else: print("去点击打卡了,但是打卡失败了") dr.quit() continue except Exception as e: print("打上班卡过程出错了",e) dr.quit() continue else: try: print("打下班卡去") sleep(2) startTime = dr.find_element_by_xpath("//div[@class='fc-today']/div/i").text startTime_srt = datetime.datetime.now().strftime("%Y:%m:%d") startTime_new = startTime_srt + " " + startTime print("早上打卡时间是:%s" % startTime_new) timeArray = time.strptime(startTime_new, "%Y:%m:%d %H:%M:%S") tartTime_Stamp = int(time.mktime(timeArray)) end_time = int(tartTime_Stamp + 60*9.5*60) #目标下班时间戳 struct_time = time.localtime(end_time) Format_time = time.strftime("%Y:%m:%d %H:%M:%S",struct_time) print("目标下班时间是: %s "% Format_time) now_end_time = int(time.time()) #现在时间戳 if end_time < now_end_time: #下班时间小于现在时间,才可以去打卡 dr.find_element_by_xpath('//*[text()="下班签退"]').click() sleep(2) dr.find_element_by_xpath('//*[@id="bsWinPopupBoxModal"]/div/div/div[3]/button[1]').click() sleep(2) OffWorkTime = dr.find_element_by_xpath("//div[@class='fc-today']/div/i[2]").text dr.quit() #通过网页获取打下班卡的时间 msg_log = "今天工作日是%s,星期%s,打下班卡成功了,打卡时间是%s." % (time.strftime("%Y-%m-%d"), week + 1, OffWorkTime) write_log(msg_log) print(msg_log) break else: print("现在时间是: %s,目标下班时间是: %s,还没到打卡时间哦,等等吧 !" %(datetime.datetime.now().strftime("%Y:%m:%d %H:%M:%S"),Format_time)) dr.quit() break except Exception as e: print("打下班卡过程出错了",e) dr.quit() continue
来自:https://www.cnblogs.com/MrRead/p/7656800.html
https://www.cnblogs.com/MrRead/p/7656800.html