66 lines
2.4 KiB
Python
66 lines
2.4 KiB
Python
# Copyright (c) 2021 Binbin Zhang(binbzha@qq.com)
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# Menglong Xu
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import argparse
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import os
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import numpy as np
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import matplotlib.pyplot as plt
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def load_stats_file(stats_file):
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values = []
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with open(stats_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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threshold, fa_per_hour, frr = arr
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values.append([float(fa_per_hour), float(frr)])
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values.reverse()
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return np.array(values)
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def plot_det_curve(keywords, stats_dir, figure_file):
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plt.figure(dpi=200)
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plt.rcParams['xtick.direction'] = 'in'
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plt.rcParams['ytick.direction'] = 'in'
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plt.rcParams['text.usetex'] = True
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plt.rcParams['font.size'] = 12
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for index, keyword in enumerate(keywords):
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stats_file = os.path.join(stats_dir, 'stats.'+str(index)+'.txt')
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values = load_stats_file(stats_file)
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plt.plot(values[:, 0], values[:, 1], label=keyword)
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plt.xlim([0, 5])
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plt.ylim([0, 0.35])
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plt.xticks([0, 1, 2, 3, 4, 5], ['0', '1','2','3','4','5'])
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plt.yticks([0, 0.05, 0.10, 0.15, 0.20, 0.25, 0.30, 0.35], ['0', '5','10','15','20','25','30','35'])
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plt.xlabel('False Alarm Per Hour')
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plt.ylabel('False Rejection Rate (\%)')
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plt.grid(linestyle='--')
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plt.legend(loc='best', fontsize=16)
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plt.savefig(figure_file)
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if __name__ == '__main__':
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parser = argparse.ArgumentParser(description='plot det curve')
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parser.add_argument('--keywords', required=True, help='keywords, must in the same order as in "dict/words.txt" separated by ", "')
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parser.add_argument('--stats_dir', required=True, help='dir of stats files')
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parser.add_argument('--figure_file', required=True, help='path to save det curve')
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args = parser.parse_args()
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keywords = args.keywords.strip().split(', ')
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plot_det_curve(keywords, args.stats_dir, args.figure_file)
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