remove defaultdict
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00c5acf31a
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bb1fc50d5a
@ -17,15 +17,20 @@ import argparse
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import json
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from collections import defaultdict
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def load_label_and_score(keyword, label_file, score_file):
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score_table = defaultdict(list)
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# score_table: {uttid: [keywordlist]}
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score_table = {}
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with open(score_file, 'r', encoding='utf8') as fin:
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for line in fin:
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arr = line.strip().split()
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key = arr[0]
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str_list = arr[1:]
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scores = list(map(float, str_list))
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score_table[key].append(scores)
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current_keyword = arr[1]
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str_list = arr[2:]
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if int(current_keyword) == keyword:
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scores = list(map(float, str_list))
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if key not in score_table:
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score_table.update({key: scores})
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keyword_table = {}
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filler_table = {}
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filler_duration = 0.0
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@ -46,12 +51,14 @@ def load_label_and_score(keyword, label_file, score_file):
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filler_duration += duration
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return keyword_table, filler_table, filler_duration
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='compute det curve')
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parser.add_argument('--test_data', required=True, help='label file')
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parser.add_argument('--keyword', type=int, default=0, help='score file')
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parser.add_argument('--keyword', type=int, default=0, help='keyword label')
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parser.add_argument('--score_file', required=True, help='score file')
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parser.add_argument('--step', type=float, default=0.01, help='score file')
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parser.add_argument('--step', type=float, default=0.01,
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help='threshold step')
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parser.add_argument('--window_shift', type=int, default=50,
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help='window_shift is used to skip the frames after triggered')
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parser.add_argument('--stats_file',
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@ -63,32 +70,32 @@ if __name__ == '__main__':
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args.keyword, args.test_data, args.score_file)
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print('Filler total duration Hours: {}'.format(filler_duration / 3600.0))
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with open(args.stats_file, 'w', encoding='utf8') as fout:
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keyword_index = int(args.stats_file.split('/')[-1].split('.')[1])
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keyword_index = int(args.keyword)
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threshold = 0.0
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while threshold <= 1.0:
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num_false_reject = 0
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# transverse the all keyword_table
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for key, scores_list in keyword_table.items():
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for key, score_list in keyword_table.items():
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# computer positive test sample, use the max score of list.
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score = max(scores_list[keyword_index])
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score = max(score_list)
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if float(score) < threshold:
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num_false_reject += 1
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num_false_alarm = 0
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# transverse the all filler_table
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for key, scores_list in filler_table.items():
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for key, score_list in filler_table.items():
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i = 0
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score_list = scores_list[keyword_index]
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while i < len(score_list):
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if score_list[i] >= threshold:
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num_false_alarm += 1
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i += window_shift
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else:
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i += 1
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if len(keyword_table) != 0 :
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if len(keyword_table) != 0:
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false_reject_rate = num_false_reject / len(keyword_table)
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num_false_alarm = max(num_false_alarm, 1e-6)
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if filler_duration != 0:
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false_alarm_per_hour = num_false_alarm / (filler_duration / 3600.0)
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false_alarm_per_hour = num_false_alarm / \
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(filler_duration / 3600.0)
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fout.write('{:.6f} {:.6f} {:.6f}\n'.format(threshold,
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false_alarm_per_hour,
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false_reject_rate))
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@ -119,7 +119,8 @@ def main():
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keyword_scores = score[:, keyword_i]
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score_frames = ' '.join(['{:.6f}'.format(x)
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for x in keyword_scores.tolist()])
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fout.write('{} {}\n'.format(key, score_frames))
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fout.write('{} {} {}\n'.format(
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key, keyword_i, score_frames))
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if batch_idx % 10 == 0:
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print('Progress batch {}'.format(batch_idx))
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sys.stdout.flush()
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