#! /usr/bin/env python  from PIL import Image import pytesseract  url='img/denggao.jpeg' image=Image.open(url) #image=image.convert('RGB') # RGB image=image.convert('L') # 灰度 image.load() text=pytesseract.image_to_string(image) print text #image.show()  r'''''# zhongwen_url = 'img/zhongwen003.png' import os fn = "aaaa" # sudo apt-get install tesseract cmd = "tesseract " + zhongwen_url + " " + fn + " -l chi_sim" os.system(cmd)  with open(fn+".txt", "r") as f:   print f   ret=os.system('cat /etc/pam.conf') print ret print '----------------------' ret=os.popen('cat /etc/pam.conf') print ret'''  r''''' import os import subprocess  def image_to_string(img, cleanup=True, plus=''):   # cleanup為True則識別完成后刪除生成的文本文件   # plus參數為給tesseract的附加高級參數   subprocess.check_output('tesseract ' + img + ' ' +               img + ' ' + plus, shell=True) # 生成同名txt文件   text = ''   with open(img + '.txt', 'r') as f:     text = f.read().strip()   if cleanup:     os.remove(img + '.txt')   return text # run >>> # print(image_to_string('./phototest.tif')) # 打印識別出的文本，刪除txt文件 # print(image_to_string('./phototest.tif', False)) # 打印識別出的文本，不刪除txt文件 # print(image_to_string('./phototest.tif', False, '-l eng')) # 打印識別出的文本，不刪除txt文件，同時提供高級參數  # PyTesser廢棄... '''