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)
args, rest = parser.parse_known_args()
data_root = os.path.join(os.getcwd(),default.root_path)
parser.add_argument('--root_path', help='output data folder', default=data_root, type=str)
parser.add_argument('--subset',help='subset of dataset,only for refer dataset',default=default.subset,type=str)
parser.add_argument('--split',help='split of dataset,only for refer dataset',default=default.split,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=int)
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-1, 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)
args = parser.parse_args()
return args
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