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()

@@ -2156,18 +2156,18 @@
 d')%0A
-%09
+    
 try:%0A%09
-   
 exp 
@@ -2204,20 +2204,16 @@
 p_name)%0A
-    
     exce
@@ -2228,62 +2228,8 @@
     
-   exp = cc.open_experiment(args.exp_name)%0A    else:%0A%09
 exp 

fix exp_name error