text: #!/usr/bin/env python
  
  # --------------------------------------------------------
  # Fast/er/ R-CNN
  # Copyright (c) 2015 Microsoft
  # Licensed under The MIT License [see LICENSE for details]
  # Written by Ross Girshick
  # --------------------------------------------------------
  
  """Generate RPN proposals."""
  
  import _init_paths
  import numpy as np
  from fast_rcnn.config import cfg, cfg_from_file, cfg_from_list, get_output_dir
  from datasets.factory import get_imdb
  from rpn.generate import imdb_proposals
  import cPickle
  import caffe
  import argparse
  import pprint
  import time, os, sys
  
  def parse_args():
      """
      Parse input arguments
      """
      parser = argparse.ArgumentParser(description='Test a Fast R-CNN network')
      parser.add_argument('--gpu', dest='gpu_id', help='GPU id to use',
                          default=0, type=int)
      parser.add_argument('--def', dest='prototxt',
                          help='prototxt file defining the network',
                          default=None, type=str)
      parser.add_argument('--net', dest='caffemodel',
                          help='model to test',
                          default=None, type=str)
      parser.add_argument('--cfg', dest='cfg_file',
                          help='optional config file', default=None, type=str)
      parser.add_argument('--wait', dest='wait',
                          help='wait until net file exists',
                          default=True, type=bool)
      parser.add_argument('--imdb', dest='imdb_name',
                          help='dataset to test',
                          default='voc_2007_test', type=str)
      parser.add_argument('--set', dest='set_cfgs',
                          help='set config keys', default=None,
                          nargs=argparse.REMAINDER)
  
      if len(sys.argv) == 1:
          parser.print_help()
          sys.exit(1)
  
      args = parser.parse_args()
      return args
  
  if __name__ == '__main__':
      args = parse_args()
  
      print('Called with args:')
      print(args)
  
      if args.cfg_file is not None:
          cfg_from_file(args.cfg_file)
      if args.set_cfgs is not None:
          cfg_from_list(args.set_cfgs)
  
      cfg.GPU_ID = args.gpu_id
  
      # RPN test settings
      cfg.TEST.RPN_PRE_NMS_TOP_N = -1
      cfg.TEST.RPN_POST_NMS_TOP_N = 2000
  
      print('Using config:')
      pprint.pprint(cfg)
  
      while not os.path.exists(args.caffemodel) and args.wait:
          print('Waiting for {} to exist...'.format(args.caffemodel))
          time.sleep(10)
  
      caffe.set_mode_gpu()
      caffe.set_device(args.gpu_id)
      net = caffe.Net(args.prototxt, args.caffemodel, caffe.TEST)
      net.name = os.path.splitext(os.path.basename(args.caffemodel))[0]
  
      imdb = get_imdb(args.imdb_name)
      imdb_boxes = imdb_proposals(net, imdb)
  
      output_dir = get_output_dir(imdb, net)
      rpn_file = os.path.join(output_dir, net.name + '_rpn_proposals.pkl')
      with open(rpn_file, 'wb') as f:
          cPickle.dump(imdb_boxes, f, cPickle.HIGHEST_PROTOCOL)
      print 'Wrote RPN proposals to {}'.format(rpn_file)
  