#!/usr/bin/env python

# --------------------------------------------------------
# Fast R-CNN
# Copyright (c) 2015 Microsoft
# Licensed under The MIT License [see LICENSE for details]
# Written by Ross Girshick
# Modified by Xingyi Zhou
# --------------------------------------------------------

# Reval = re-eval. Re-evaluate saved detections.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function

import sys
import os.path as osp
sys.path.insert(0, osp.join(osp.dirname(__file__), 'voc_eval_lib'))

from model.test import apply_nms
from datasets.pascal_voc import pascal_voc
import pickle
import os, argparse
import numpy as np
import json

def parse_args():
 """
 Parse input arguments
 """
 parser = argparse.ArgumentParser(description='Re-evaluate results')
 parser.add_argument('detection_file', type=str)
 parser.add_argument('--output_dir', help='results directory', type=str)
 parser.add_argument('--imdb', dest='imdb_name',
 help='dataset to re-evaluate',
 default='voc_2007_test', type=str)
 parser.add_argument('--matlab', dest='matlab_eval',
 help='use matlab for evaluation',
 action='store_true')
 parser.add_argument('--comp', dest='comp_mode', help='competition mode',
 action='store_true')
 parser.add_argument('--nms', dest='apply_nms', help='apply nms',
 action='store_true')

 if len(sys.argv) == 1:
 parser.print_help()
 sys.exit(1)

 args = parser.parse_args()
 return args


def from_dets(imdb_name, detection_file, args):
 imdb = pascal_voc('test', '2007')
 imdb.competition_mode(args.comp_mode)
 imdb.config['matlab_eval'] = args.matlab_eval
 with open(os.path.join(detection_file), 'rb') as f:
 if 'json' in detection_file:
 dets = json.load(f)
 else:
 dets = pickle.load(f, encoding='latin1')
 # import pdb; pdb.set_trace()
 if args.apply_nms:
 print('Applying NMS to all detections')
 test_nms = 0.3
 nms_dets = apply_nms(dets, test_nms)
 else:
 nms_dets = dets

 print('Evaluating detections')
 imdb.evaluate_detections(nms_dets)


if __name__ == '__main__':
 args = parse_args()

 imdb_name = args.imdb_name
 from_dets(imdb_name, args.detection_file, args)