教你用Python写安卓游戏外挂

"""OCR in Python using the Tesseract engine from Googlehttp://code.google.com/p/pytesser/by Michael J.T. O'KellyV 0.0.1, 3/10/07"""import Imageimport subprocessimport utilimport errorstesseract_exe_name = 'tesseract' # Name of executable to be called at command linescratch_image_name = "temp.bmp" # This file must be .bmp or other Tesseract-compatible formatscratch_text_name_root = "temp" # Leave out the .txt extensioncleanup_scratch_flag = True # Temporary files cleaned up after OCR operationdef call_tesseract(input_filename, output_filename, language): """Calls external tesseract.exe on input file (restrictions on types), outputting output_filename+'txt'""" args = [tesseract_exe_name, input_filename, output_filename, "-l", language] proc = subprocess.Popen(args) retcode = proc.wait() if retcode!=0:  errors.check_for_errors()def image_to_string(im, cleanup = cleanup_scratch_flag, language = "eng"): """Converts im to file, applies tesseract, and fetches resulting text. If cleanup=True, delete scratch files after operation.""" try:  util.image_to_scratch(im, scratch_image_name)  call_tesseract(scratch_image_name, scratch_text_name_root,language)  text = util.retrieve_text(scratch_text_name_root) finally:  if cleanup:   util.perform_cleanup(scratch_image_name, scratch_text_name_root) return textdef image_file_to_string(filename, cleanup = cleanup_scratch_flag, graceful_errors=True, language = "eng"): """Applies tesseract to filename; or, if image is incompatible and graceful_errors=True, converts to compatible format and then applies tesseract. Fetches resulting text. If cleanup=True, delete scratch files after operation.""" try:  try:   call_tesseract(filename, scratch_text_name_root, language)   text = util.retrieve_text(scratch_text_name_root)  except errors.Tesser_General_Exception:   if graceful_errors:    im = Image.open(filename)    text = image_to_string(im, cleanup)   else:    raise finally:  if cleanup:   util.perform_cleanup(scratch_image_name, scratch_text_name_root) return textif __name__=='__main__': im = Image.open('phototest.tif') text = image_to_string(im) print text try:  text = image_file_to_string('fnord.tif', graceful_errors=False) except errors.Tesser_General_Exception, value:  print "fnord.tif is incompatible filetype. Try graceful_errors=True"  print value text = image_file_to_string('fnord.tif', graceful_errors=True) print "fnord.tif contents:", text text = image_file_to_string('fonts_test.png', graceful_errors=True) print text

def get_hash(self, img):    #计算图片的hash值    image = img.convert("L")    pixels = list(image.getdata())    avg = sum(pixels) / len(pixels)    return "".join(map(lambda p : "1" if p > avg else "0", pixels))

#识别出对应位置图像成字符，把字符交给chose处理  def getWordMeaning(self):    pic_up = ImageGrab.grab((480,350, 480+300, 350+66))    pic_aws1 = ImageGrab.grab((463,456, 463+362, 456+45))    pic_aws2 = ImageGrab.grab((463,530, 463+362, 530+45))    pic_aws3 = ImageGrab.grab((463,601, 463+362, 601+45))    pic_aws4 = ImageGrab.grab((463,673, 463+362, 673+45))    str_up = image_to_string(pic_up).strip().lower()    #判断当前单词和上次识别单词相同，就不继续识别    if str_up <> self.lastWord:      #如果题目单词是英文，选项按中文进行识别      if str_up.isalpha():        eng_up = self.dt[str_up].decode('gbk') if self.dt.has_key(str_up) else ''        chs1 = image_to_string(pic_aws1, language='chi_sim').decode('utf-8').strip()        chs2 = image_to_string(pic_aws2, language='chi_sim').decode('utf-8').strip()        chs3 = image_to_string(pic_aws3, language='chi_sim').decode('utf-8').strip()        chs4 = image_to_string(pic_aws4, language='chi_sim').decode('utf-8').strip()        print str_up, ':', eng_up        self.chose(eng_up, (chs1, chs2, chs3, chs4))      #如果题目单词是中文，选项按英文进行识别      else:        chs_up = image_to_string(pic_up, language='chi_sim').decode('utf-8').strip()        eng1 = image_to_string(pic_aws1).strip()        eng2 = image_to_string(pic_aws2).strip()        eng3 = image_to_string(pic_aws3).strip()        eng4 = image_to_string(pic_aws4).strip()                e2c1 = self.dt[eng1].decode('gbk') if self.dt.has_key(eng1) else ''        e2c2 = self.dt[eng2].decode('gbk') if self.dt.has_key(eng2) else ''        e2c3 = self.dt[eng3].decode('gbk') if self.dt.has_key(eng3) else ''        e2c4 = self.dt[eng4].decode('gbk') if self.dt.has_key(eng4) else ''        print chs_up        self.chose(chs_up, (e2c1, e2c2, e2c3, e2c4))      self.lastWord = str_up    return str_up

#根据传入的题目和选项进行匹配选择  def chose(self, g, chs_list):    j, max_score = -1, 0    same_list = None    #替换掉题目里的特殊字符    re_list = [u'~', u',', u'.', u';', u' ', u'a', u'V', u'v', u'i', u'n', u'【', u')', u'_', u'W', u'd', u'j', u'-', u't']    for i in re_list:      g = g.replace(i, '')    print type(g)    #判断2个字符串中相同字符，相同字符最多的为最佳答案    for i, chsWord in enumerate(chs_list):      print type(chsWord)      l = [x for x in g if x in chsWord and len(x)>0]      score = len(l) if l else 0            if score > max_score:        max_score = score        j = i        same_list = l    #如果没有匹配上默认选最后一个    if j ==-1:      print '1. %s; 2. %s; 3. %s; 4. %s; Not found choice.' % (chs_list[0], chs_list[1], chs_list[2], chs_list[3])    else:      print '1. %s; 2. %s; 3. %s; 4. %s; choice: %s' % (chs_list[0], chs_list[1], chs_list[2], chs_list[3], chs_list[j])      for k, v in enumerate(same_list):        print str(k) + '.' + v,    order = j + 1    self.mouseMove(order)    return order