def text_rekognition(self, event = None):
        client=boto3.client('rekognition')
        img = cv2.imread(self.imageFile)
        imOut = img
        img_PIL = Image.open(self.imageFile)
        width, height = img_PIL.size
        with open(self.imageFile, 'rb') as image:
            text_response = client.detect_text(Image={'Bytes': image.read()})
            
        text_jsonfile = "textoutput.json"
        with open(text_jsonfile, 'w') as fp:
            json.dump(text_response, fp)

        #i = 0
        for text in text_response['TextDetections']:
            #Rectangle The text BoundingBox       
            cv2.rectangle(imOut,
            (int(width*text['Geometry']['BoundingBox']['Left']),
              int(height*text['Geometry']['BoundingBox']['Top'])),
             (int(width*(text['Geometry']['BoundingBox']['Left']+
              text['Geometry']['BoundingBox']['Width'])),
             int(height*(text['Geometry']['BoundingBox']['Top']+
             text['Geometry']['BoundingBox']['Height']))),
             self.color_1,
            int(self.linesizespinbox.get()))
            #print the text
            cv2.putText(imOut,
                        text['DetectedText'],
                        (int(width*text['Geometry']['BoundingBox']['Left']),
                         int(height*text['Geometry']['BoundingBox']['Top'])),
                         self.fontcv2Var.get(),
                         int(self.fontsizespinbox.get()),
                         self.color_2,
                         int(self.linesizespinbox.get()), 
                         self.fontlinetypecv2Var.get())
            self.DisplaySceneMarkInfo.insert(tk.END,text['DetectedText']+'\n')

        while True:
            cv2.imshow("Output", imOut)
            k = cv2.waitKey(0) & 0xFF
            if k == 113:
                break
        cv2.destroyAllWindows()