forked from ano-demo/AdvAttacksASVspoof
-
Notifications
You must be signed in to change notification settings - Fork 0
/
3.run_eval.sh
executable file
·445 lines (295 loc) · 21.3 KB
/
3.run_eval.sh
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
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
#
# script to eval 4 models denoise
#
echo "LCNN half denoise"
python eval.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230224_123957/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 0 >> LCNN_half_denoise.txt &
echo "LCNN denoise"
python eval.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230224_133103/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 1 >> LCNN_denoise.txt &
echo "SENet12 denoise"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230224_152937/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 2 >> SENet12_denoise.txt &
echo "SENet34 denoise"
python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230224_155356/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 3 >> SENet34_denoise.txt &
echo done
exit
# SCRIPT TO EVALUATE DF 2021 dataset
# 4 models trained with noise
echo "eval DF"
python eval_df.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230222_234308/model_best.pth \
--protocol_file /data/longnv/trn_dev_eval_scps/ASVspoof2021_DF_eval.scp \
--asv_score_file X \
--device 0 >> LCNN_half_over5k.txt &
python eval_df.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230223_003112/model_best.pth \
--protocol_file /data/longnv/trn_dev_eval_scps/ASVspoof2021_DF_eval.scp \
--asv_score_file X \
--device 1 >> LCNN_over5k.txt &
python eval_df.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230223_041446/model_best.pth \
--protocol_file /data/longnv/trn_dev_eval_scps/ASVspoof2021_DF_eval.scp \
--asv_score_file X \
--device 2 >> SENet12_over5k.txt &
python eval_df.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230223_053119/model_best.pth \
--protocol_file /data/longnv/trn_dev_eval_scps/ASVspoof2021_DF_eval.scp \
--asv_score_file X \
--device 3 >> SENet34_over5k.txt &
echo DONE
exit
echo "LCNN half over 5k"
python eval.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230222_234308/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 0 >> LCNN_half_over5k.txt &
echo "LCNN over 5k"
python eval.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230223_003112/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 1 >> LCNN_over5k.txt &
echo "SENet12 over 5k"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230223_041446/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 2 >> SENet12_over5k.txt &
echo "SENet34 over 5k"
python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230223_053119/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device 3 >> SENet34_over5k.txt &
echo done
exit
# EVAL NO SILENCE 100-5000
# /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230211_000058/model_best.pth
# /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230211_005619/model_best.pth
# /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230211_024130/model_best.pth
# /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230211_030100/model_best.pth
#
# EVAL NO SILENCE 2K-4K
#
# lcnn half /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230209_213041/model_best.pth
# lcnn /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230209_220300/model_best.pth
# senet12 /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230209_233452/model_best.pth
# senet34 /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230209_235944/model_best.pth
GPU=3 #cannot run with multiple GPU for now
echo "LCNN half no silence 100-5k"
python eval.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230211_000058/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> LCNN_half_original_nosilence1005k.txt
echo "LCNN no silence"
python eval.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230211_005619/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> LCNN_original_nosilence1005k.txt
echo "SENet12 no silence"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230211_024130/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> SENet12_original_nosilence1005k.txt
echo "SENet34 no silence"
python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230211_030100/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> SENet34_original_nosilence1005k.txt
echo done
exit
#
# DONE EVAL NO SILENCE 100-5k
#
#
# EVAL NO SILENCE
#
# lcnn half /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230208_030025/model_best.pth
# lcnn /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230208_033642/model_best.pth
# senet12 /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230208_062733/model_best.pth
# senet34 /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230208_065642/model_best.pth
GPU=3 #cannot run with multiple GPU for now
echo "LCNN half no silence"
python eval.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230208_030025/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> LCNN_half_original_nosilence.txt
echo "LCNN no silence"
python eval.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230208_033642/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> LCNN_original_nosilence.txt
echo "SENet12 no silence"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230208_062733/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> SENet12_original_nosilence.txt
echo "SENet34 no silence"
python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230208_065642/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> SENet34_original_nosilence.txt
echo done
exit
#
# DONE EVAL NO SILENCE
#
# /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230113_152328/model_best.pth
# /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230113_161026/model_best.pth
# /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230113_175511/model_best.pth
# /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230113_185148/model_best.pth
GPU=1 #cannot run with multiple GPU for now
echo "LCNN half (2k-4k) on original data (2k-4k)"
python eval.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20230113_152328/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> LCNN_half_2k4k_original_2k4k.txt
echo "LCNN (2k-4k) on original data (2k-4k)"
python eval.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20230113_161026/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> LCNN_2k4k_original_2k4k.txt
echo "SENet12 (2k-4k) on original data (2k-4k)"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20230113_175511/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> SENet12_2k4k_original_2k4k.txt
echo "SENet34 (2k-4k) on original data (2k-4k)"
python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20230113_185148/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> SENet34_2k4k_original_2k4k.txt
echo done
exit
# for num in `seq 1 56`; do
# echo CUMBERSOME
# echo $num
# echo "\n"
# python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20221114_132025_b256e5/checkpoint-epoch${num}.pth \
# --protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU} >> /data/longnv/OutDir/result__20221114_EVAL_epoch${num}__SENet34BS256LRe5_.txt
# done
# exit
# exit()
# echo DISTILL
# for num in `seq 1 27` ; do
# echo $num
# echo "\n"
# python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20221110_183444_T1a0.5BS128LR0.00001_from_20221110SE34/checkpoint-epoch${num}.pth \
# --protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU} >> /data/longnv/OutDir/result__20221114_EVAL_epoch${num}_T1a0.5_SENet12_DISTILL_128e5_CE_.txt
# done
# exit
# exit()
echo DISTILL
for num in `seq 1 48` ; do
echo $num
echo "\n"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20221112_222049_64e4_nll/checkpoint-epoch${num}.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20221113_EVAL_epoch${num}_T1a0.5_SENet12_DISTILL_64e4_.txt
done
exit
exit()
GPU=1
echo NoDISTILL
for num in 1 2 3 4 5 6 7 8 9 ; do
echo $num
echo "\n"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20221101_110205_NOdistill/checkpoint-epoch${num}.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20221107_EVAL_epoch${num}_T1a0.3_SENet12NODISTILL_.txt
done
exit
exit()
GPU=3
for num in 1 2 3 4 5 6 7 8 9 ; do
echo $num
echo "\n"
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20221107_161924/checkpoint-epoch${num}.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20221107_EVAL_epoch${num}_T1a0.3_SENet12_.txt
done
exit
exit()
GPU=0,1
python eval.py --resume /data/longnv/_saved/models/LA_SENet34_LPSseg_uf_seg600/20221013_053132/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20221020_EVAL_dimdefault.txt
exit
exit()
GPU=0,1
echo "SENET12" >> /data/longnv/OutDir/result__20221020_EVAL.txt
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20221019_184112_dim1/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20221020_EVAL_dim1.txt
echo "end eval"
GPU=0,1
exit
exit()
echo "SENET12" >> /data/longnv/OutDir/result__20221020_EVAL.txt
python eval.py --resume /data/longnv/_saved/models/LA_SENet12_LPSseg_uf_seg600/20221020_152656dimminus1/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20221020_EVAL_dimminus1.txt
exit
exit()
echo "LCNN HALF" >> /data/longnv/OutDir/result__20220605_EVAL.txt
python eval.py --resume /data/longnv/_saved/models/LA_lcnnHalf_LPSseg_uf_seg600/20220603_083303/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20220605_EVAL.txt
echo "LCNN" >> /data/longnv/OutDir/result__20220605_EVAL.txt
python eval.py --resume /data/longnv/_saved/models/LA_lcnn_LPSseg_uf_seg600/20220603_103336/model_best.pth \
--protocol_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
--asv_score_file /data/Dataset/ASVspoof/LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
--device ${GPU} >> /data/longnv/OutDir/result__20220605_EVAL.txt
# python develop.py --resume _saved/models/PA_SENet34_LPS_uf_seg200hop100/20190424_220438/model_best.pth \
# --protocol_file data/ASVspoof2019.PA.cm.dev.trl.txt \
# --asv_score_file data/ASVspoof2019_PA_dev_asv_scores_v1.txt \
# --device ${GPU}
# python develop.py --resume _saved/models/PA_SENet34_LPS_uf_seg400hop200/20190426_093940/model_best.pth \
# --protocol_file data/ASVspoof2019.PA.cm.dev.trl.txt \
# --asv_score_file data/ASVspoof2019_PA_dev_asv_scores_v1.txt \
# --device ${GPU}
# python eval.py --resume _saved/models/LA_lcnnSmall_LPSseg_uf_seg600_noEmph/20190618_191154/model_best.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}
# python eval.py --resume _saved/models/LA_lcnnSmall_LPSseg_uf_seg600_noEmph/20190618_191154/checkpoint-epoch2.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}
# python eval2.py --resume _saved/models/config_LA_lcnnSmall3_LPS_257_uf_seg400hop200/20190619_231629/checkpoint-epoch1.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}
# for i in 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90 95 100
# do
# python eval2.py --resume _saved/models/config_LA_lcnnSmall3_LPS_257_uf_seg400hop200/20190619_231629/checkpoint-epoch$i.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}
# done
# python eval2.py --resume _saved/models/config_LA_lcnnSmall4_LPS_257_uf_seg400hop200/20190620_083937/model_best.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}
# python eval4.py --resume _saved/models/LA_lcnn_LPSseg_uf_seg600/20190620_121836/checkpoint-epoch3.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}
# python eval_tmp.py --resume _saved/models/LA_lcnn_LPSseg_uf_seg600/20190620_121836/checkpoint-epoch3.pth \
# --protocol_file data_LA/ASVspoof2019_LA_cm_protocols/ASVspoof2019.LA.cm.eval.trl.txt \
# --asv_score_file data_LA/ASVspoof2019_LA_asv_scores/ASVspoof2019.LA.asv.eval.gi.trl.scores.txt \
# --device ${GPU}