-
Notifications
You must be signed in to change notification settings - Fork 1.4k
/
run_tests.py
166 lines (125 loc) · 6.33 KB
/
run_tests.py
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
import argparse
import logging
import time
from os import makedirs
from os.path import exists, join
from shutil import rmtree
import matplotlib.pyplot as plt
import numpy as np
from dejavu.tests.dejavu_test import (DejavuTest, autolabeldoubles,
generate_test_files, log_msg, set_seed)
def main(seconds: int, results_folder: str, temp_folder: str, log: bool, silent: bool,
log_file: str, padding: int, seed: int, src: str):
# set random seed if set by user
set_seed(seed)
# ensure results folder exists
if not exists(results_folder):
makedirs(results_folder)
# set logging
if log:
logging.basicConfig(filename=log_file, level=logging.DEBUG)
# set test seconds
test_seconds = [f'{i}sec' for i in range(1, seconds + 1, 1)]
# generate testing files
for i in range(1, seconds + 1, 1):
generate_test_files(src, temp_folder, i, padding=padding)
# scan files
log_msg(f"Running Dejavu fingerprinter on files in {src}...", log=log, silent=silent)
tm = time.time()
djv = DejavuTest(temp_folder, test_seconds)
log_msg(f"finished obtaining results from dejavu in {(time.time() - tm)}", log=log, silent=silent)
tests = 1 # djv
n_secs = len(test_seconds)
# set result variables -> 4d variables
all_match_counter = [[[0 for x in range(tests)] for x in range(3)] for x in range(n_secs)]
all_matching_times_counter = [[[0 for x in range(tests)] for x in range(2)] for x in range(n_secs)]
all_query_duration = [[[0 for x in range(tests)] for x in range(djv.n_lines)] for x in range(n_secs)]
all_match_confidence = [[[0 for x in range(tests)] for x in range(djv.n_lines)] for x in range(n_secs)]
# group results by seconds
for line in range(0, djv.n_lines):
for col in range(0, djv.n_columns):
# for dejavu
all_query_duration[col][line][0] = djv.result_query_duration[line][col]
all_match_confidence[col][line][0] = djv.result_match_confidence[line][col]
djv_match_result = djv.result_match[line][col]
if djv_match_result == 'yes':
all_match_counter[col][0][0] += 1
elif djv_match_result == 'no':
all_match_counter[col][1][0] += 1
else:
all_match_counter[col][2][0] += 1
djv_match_acc = djv.result_matching_times[line][col]
if djv_match_acc == 0 and djv_match_result == 'yes':
all_matching_times_counter[col][0][0] += 1
elif djv_match_acc != 0:
all_matching_times_counter[col][1][0] += 1
# create plots
djv.create_plots('Confidence', all_match_confidence, results_folder)
djv.create_plots('Query duration', all_query_duration, results_folder)
for sec in range(0, n_secs):
ind = np.arange(3)
width = 0.25 # the width of the bars
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim([-1 * width, 2.75])
means_dvj = [round(x[0] * 100 / djv.n_lines, 1) for x in all_match_counter[sec]]
rects1 = ax.bar(ind, means_dvj, width, color='r')
# add some
ax.set_ylabel('Matching Percentage')
ax.set_title(f'{test_seconds[sec]} Matching Percentage')
ax.set_xticks(ind + width)
labels = ['yes', 'no', 'invalid']
ax.set_xticklabels(labels)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.75, box.height])
autolabeldoubles(rects1, ax)
plt.grid()
fig_name = join(results_folder, f"matching_perc_{test_seconds[sec]}.png")
fig.savefig(fig_name)
for sec in range(0, n_secs):
ind = np.arange(2)
width = 0.25 # the width of the bars
fig = plt.figure()
ax = fig.add_subplot(111)
ax.set_xlim([-1 * width, 1.75])
div = all_match_counter[sec][0][0]
if div == 0:
div = 1000000
means_dvj = [round(x[0] * 100 / div, 1) for x in all_matching_times_counter[sec]]
rects1 = ax.bar(ind, means_dvj, width, color='r')
# add some
ax.set_ylabel('Matching Accuracy')
ax.set_title(f'{test_seconds[sec]} Matching Times Accuracy')
ax.set_xticks(ind + width)
labels = ['yes', 'no']
ax.set_xticklabels(labels)
box = ax.get_position()
ax.set_position([box.x0, box.y0, box.width * 0.75, box.height])
autolabeldoubles(rects1, ax)
plt.grid()
fig_name = join(results_folder, f"matching_acc_{test_seconds[sec]}.png")
fig.savefig(fig_name)
# remove temporary folder
rmtree(temp_folder)
if __name__ == '__main__':
parser = argparse.ArgumentParser(description=f'Runs a few tests for dejavu to evaluate '
f'its configuration performance. '
f'Usage: %(prog).py [options] TESTING_AUDIOFOLDER'
)
parser.add_argument("-sec", "--seconds", action="store", default=5, type=int,
help='Number of seconds starting from zero to test.')
parser.add_argument("-res", "--results-folder", action="store", default="./dejavu_test_results",
help='Sets the path where the results are saved.')
parser.add_argument("-temp", "--temp-folder", action="store", default="./dejavu_temp_testing_files",
help='Sets the path where the temp files are saved.')
parser.add_argument("-l", "--log", action="store_true", default=False, help='Enables logging.')
parser.add_argument("-sl", "--silent", action="store_false", default=False, help='Disables printing.')
parser.add_argument("-lf", "--log-file", default="results-compare.log",
help='Set the path and filename of the log file.')
parser.add_argument("-pad", "--padding", action="store", default=10, type=int,
help='Number of seconds to pad choice of place to test from.')
parser.add_argument("-sd", "--seed", action="store", default=None, type=int, help='Random seed.')
parser.add_argument("src", type=str, help='Source folder for audios to use as tests.')
args = parser.parse_args()
main(args.seconds, args.results_folder, args.temp_folder, args.log, args.silent, args.log_file, args.padding,
args.seed, args.src)