title: How can I remove the Class Label from the detected object using TensorFlow
body: <p>I am trying to remove the label appearing above the detected object box (in my case: Human_hand: 96%). Do you have any idea? Here is how it looks like:</p>
  
  <p><a href="https://i.stack.imgur.com/Tck00.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/Tck00.png" alt="enter image description here"></a></p>
  
  <p>I am using the following code to display the detected boxes inside the image, how can I edit it to be able to hide the label?</p>
  
  <pre><code>while(True):
  
      # Acquire frame and expand frame dimensions to have shape: [1, None, None, 3]
      # i.e. a single-column array, where each item in the column has the pixel RGB value
      ret, frame = video.read()
      frame_expanded = np.expand_dims(frame, axis=0)
  
      # Perform the actual detection by running the model with the image as input
      (boxes, scores, classes, num) = sess.run(
          [detection_boxes, detection_scores, detection_classes, num_detections],
          feed_dict={image_tensor: frame_expanded})
  
      # Draw the results of the detection (aka 'visulaize the results')
      vis_util.visualize_boxes_and_labels_on_image_array(
          frame,
          np.squeeze(boxes),
          np.squeeze(classes).astype(np.int32),
          np.squeeze(scores),
          category_index,
          use_normalized_coordinates=True,
          line_thickness=8,
          min_score_thresh=0.60)
  
      # All the results have been drawn on the frame, so it's time to display it.
      cv2.imshow('Object detector', frame)
  
      # Press 'q' to quit
      if cv2.waitKey(1) == ord('q'):
          break
  
  # Clean up
  video.release()
  cv2.destroyAllWindows()
  </code></pre>