I am trying to take mediapipes detection.score as a float value, however, I am unsure how to convert it to that. I am trying to compare detection.score with a float number. Check code below:

imgRGB = cv2.cvtColor(frame, cv2.COLOR_BGR2RGB)
        self.results = self.faceDetection.process(imgRGB)

        bboxs = []

        if self.results.detections:
            for id, detection in enumerate(self.results.detections):

                #Creating the rectangle for drawing
                bboxC = detection.location_data.relative_bounding_box
                imgH, imgW, imgC = frame.shape
                bbox = int(bboxC.xmin * imgW), int(bboxC.ymin * imgH), 
                       int(bboxC.width * imgW), int(bboxC.height * imgH)
                
                bboxs.append([bbox, detection.score])

                if draw:
                    cv2.rectangle(frame, bbox, (255, 0, 255), 2)
                    cv2.putText(frame, f'{int(detection.score[0]*100)}%', 
                        (bbox[0], bbox[1]-20), cv2.FONT_HERSHEY_PLAIN,
                        2, (255, 0, 255), 2)
                    

                print(type(detection.score))

                if detection.score > 0.95:
                    #print("Good image")
                else:
                    #print("Bad image")

The print for the type of detection.score outputs as: <class 'google.protobuf.pyext._message.RepeatedScalarContainer'>. I am trying to convert this to a float value.

Tried using float(detection.score). Tried looking through documentation, but could not find anything.