103 lines
3.1 KiB
Python
103 lines
3.1 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) * 100])
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values.reverse()
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return np.array(values)
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def plot_det_curve(
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keywords,
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stats_dir,
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figure_file,
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xlim,
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x_step,
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ylim,
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y_step):
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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['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, xlim])
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plt.ylim([0, ylim])
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plt.xticks(range(0, xlim + x_step, x_step))
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plt.yticks(range(0, ylim + y_step, y_step))
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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(
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'--keywords_dict',
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required=True,
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help='path to the dictionary of keywords')
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parser.add_argument('--stats_dir', required=True, help='dir of stats files')
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parser.add_argument(
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'--figure_file',
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required=True,
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help='path to save det curve')
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parser.add_argument(
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'--xlim',
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type=int,
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default=5,
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help='xlim：range of x-axis, x is false alarm per hour')
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parser.add_argument('--x_step', type=int, default=1, help='step on x-axis')
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parser.add_argument(
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'--ylim',
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type=int,
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default=35,
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help='ylim：range of y-axis, y is false rejection rate')
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parser.add_argument('--y_step', type=int, default=5, help='step on y-axis')
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args = parser.parse_args()
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keywords = []
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with open(args.keywords_dict, 'r', encoding='utf8') as fin:
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for line in fin:
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keyword, index = line.strip().split()
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if int(index) > -1:
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keywords.append(keyword)
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plot_det_curve(
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keywords,
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args.stats_dir,
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args.figure_file,
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args.xlim,
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args.x_step,
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args.ylim,
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args.y_step)
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