How to use the scenedetect.detectors function in scenedetect

detect-content --threshold 27.5
    """

    #if intensity_cutoff is not None:
    #    raise NotImplementedError()

    min_scene_len = parse_timecode(ctx.obj, min_scene_len)

    logging.debug('Detecting content, parameters:\n'
                  '  threshold: %d, min-scene-len: %d',
                  threshold, min_scene_len)

    # Initialize detector and add to scene manager.
    # Need to ensure that a detector is not added twice, or will cause
    # a frame metric key error when registering the detector.
    ctx.obj.add_detector(scenedetect.detectors.ContentDetector(
        threshold=threshold, min_scene_len=min_scene_len))

def shotdetect(clip_dir, clip_path):

	start = time.time()
	
	scene_list = []
	detector_list = [scenedetect.detectors.ContentDetector(threshold = 20)]
	video_fps, frames_read = my_detect_scenes_file(clip_path, scene_list, detector_list, save_images = True)
	scene_list_sec = [round((x) / float(video_fps), 3) for x in scene_list]

	pyscene_timestamps = []
	for item in scene_list_sec:
		pyscene_timestamps.append(round(item - .01, 3))
		pyscene_timestamps.append(round(item + .01, 3))
	# create new list with scene boundaries in timecode strings ("HH:MM:SS.nnn").
	# scene_list_tc = [scenedetect.timecodes.get_string(x) for x in scene_list_msec]

	end = time.time()
	print "Shots detected in %.3f!\n" %(end-start)

	return scene_list_sec, pyscene_timestamps

def crap_detect(video_dir):
  detector_list = [
    scenedetect.detectors.ThresholdDetector(threshold=16, min_percent=0.6)
  ]

  file_paths = gfile.Glob(os.path.join(video_dir, '*.avi'))
  l = []
  for file_path in file_paths:
    try:
      print(file_path)
      scene_list = []
      video_framerate, frames_read = scenedetect.detect_scenes_file(
        file_path, scene_list, detector_list)

      # scene_list now contains the frame numbers of scene boundaries.
      print(l)
      if len(scene_list) >= 1:
        l.append(file_path)
    except:

def scene_detect(videoPath):
    sceneDetect = []
    detector_list = [scenedetect.detectors.ThresholdDetector(threshold = 30, min_percent = 0.9)]
    print videoPath
    video_framerate, frames_read = scenedetect.detect_scenes_file(videoPath, sceneDetect, detector_list)
    return sceneDetect