old_contents: from __future__ import print_function
  import argparse
  import mxnet as mx
  from rcnn.config import config, default, generate_config
  from rcnn.tools.test_rcnn import test_rcnn
  from pycrayon import CrayonClient
  from datetime import datetime
  import numpy as np
  
  def parse_args():
      parser = argparse.ArgumentParser(description='Test a Faster R-CNN network')
      # general
      parser.add_argument('--network', help='network name', default=default.network, type=str)
      parser.add_argument('--dataset', help='dataset name', default=default.dataset, type=str)
      args, rest = parser.parse_known_args()
      generate_config(args.network, args.dataset)
      parser.add_argument('--image_set', help='image_set name', default=default.test_image_set, type=str)
      parser.add_argument('--root_path', help='output data folder', default=default.root_path, type=str)
      parser.add_argument('--dataset_path', help='dataset path', default=default.dataset_path, type=str)
      # testing
      parser.add_argument('--prefix', help='model to test with', default=default.e2e_prefix, type=str)
      parser.add_argument('--epoch', help='model to test with', default=default.e2e_epoch, type=str)
      parser.add_argument('--gpu', help='GPU device to test with', default=0, type=int)
      # rcnn
      parser.add_argument('--vis', help='turn on visualization', action='store_true')
      parser.add_argument('--thresh', help='valid detection threshold', default=1e-3, type=float)
      parser.add_argument('--shuffle', help='shuffle data on visualization', action='store_true')
      parser.add_argument('--has_rpn', help='generate proposals on the fly', action='store_true', default=True)
      parser.add_argument('--proposal', help='can be ss for selective search or rpn', default='rpn', type=str)
      # Tensorboard
      parser.add_argument('--exp_name', help='name of tensor board expriment name', default=None, type=str)
      args = parser.parse_args()
      return args
  
  
  def main():
      args = parse_args()
      ctx = mx.gpu(args.gpu)
      print(args)
      cc = CrayonClient(hostname='10.132.90.242')
      if args.exp_name is None:
          args.exp_name = datetime.now().strftime('frcnnEval_%m-%d')
  	try:
  	   exp = cc.create_experiment(args.exp_name)
          except:
             exp = cc.open_experiment(args.exp_name)
      else:
  	exp = cc.open_experiment(args.exp_name)
  
      mAp = [1,2,5];
      for x in args.epoch.split(","):	
  	mAp = test_rcnn(args.network, args.dataset, args.image_set, args.root_path, args.dataset_path,
                ctx, args.prefix,int(x),
                args.vis, args.shuffle, args.has_rpn, args.proposal, args.thresh)
  	os.path.re
      	exp.add_scalar_value('mAp', mAp)
      return 
      
  if __name__ == '__main__':
      main()
  
new_contents: from __future__ import print_function
  import argparse
  import mxnet as mx
  from rcnn.config import config, default, generate_config
  from rcnn.tools.test_rcnn import test_rcnn
  from pycrayon import CrayonClient
  from datetime import datetime
  import numpy as np
  
  def parse_args():
      parser = argparse.ArgumentParser(description='Test a Faster R-CNN network')
      # general
      parser.add_argument('--network', help='network name', default=default.network, type=str)
      parser.add_argument('--dataset', help='dataset name', default=default.dataset, type=str)
      args, rest = parser.parse_known_args()
      generate_config(args.network, args.dataset)
      parser.add_argument('--image_set', help='image_set name', default=default.test_image_set, type=str)
      parser.add_argument('--root_path', help='output data folder', default=default.root_path, type=str)
      parser.add_argument('--dataset_path', help='dataset path', default=default.dataset_path, type=str)
      # testing
      parser.add_argument('--prefix', help='model to test with', default=default.e2e_prefix, type=str)
      parser.add_argument('--epoch', help='model to test with', default=default.e2e_epoch, type=str)
      parser.add_argument('--gpu', help='GPU device to test with', default=0, type=int)
      # rcnn
      parser.add_argument('--vis', help='turn on visualization', action='store_true')
      parser.add_argument('--thresh', help='valid detection threshold', default=1e-3, type=float)
      parser.add_argument('--shuffle', help='shuffle data on visualization', action='store_true')
      parser.add_argument('--has_rpn', help='generate proposals on the fly', action='store_true', default=True)
      parser.add_argument('--proposal', help='can be ss for selective search or rpn', default='rpn', type=str)
      # Tensorboard
      parser.add_argument('--exp_name', help='name of tensor board expriment name', default=None, type=str)
      args = parser.parse_args()
      return args
  
  
  def main():
      args = parse_args()
      ctx = mx.gpu(args.gpu)
      print(args)
      cc = CrayonClient(hostname='10.132.90.242')
      if args.exp_name is None:
          args.exp_name = datetime.now().strftime('frcnnEval_%m-%d')
  	try:
  	   exp = cc.create_experiment(args.exp_name)
          except:
             exp = cc.open_experiment(args.exp_name)
      else:
  	exp = cc.open_experiment(args.exp_name)
  
      for x in args.epoch.split(","):	
  	mAp = test_rcnn(args.network, args.dataset, args.image_set, args.root_path, args.dataset_path,
                ctx, args.prefix,int(x),
                args.vis, args.shuffle, args.has_rpn, args.proposal, args.thresh)
      	exp.add_scalar_value('mAp', mAp)
      return 
      
  if __name__ == '__main__':
      main()
  
subject: fix coding bug