-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathsample_train_eval_1.log
632 lines (631 loc) · 79.9 KB
/
sample_train_eval_1.log
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
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 10, 'cam_learning_rate': 0.0001, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam_cdy.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': True, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_cam: Thu Apr 29 21:56:40 2021
model pretrained initialized
Epoch 1/10
step: 0/ 1610 loss:0.6765 imps:27.7 lr: 0.0001 etc:Thu Apr 29 22:12:14 2021
step: 100/ 1610 loss:0.4470 imps:128.4 lr: 0.0001 etc:Thu Apr 29 22:00:03 2021
Epoch 2/10
step: 200/ 1610 loss:0.3842 imps:25.8 lr: 0.0001 etc:Thu Apr 29 22:00:02 2021
step: 300/ 1610 loss:0.3517 imps:60.7 lr: 0.0001 etc:Thu Apr 29 22:00:00 2021
Epoch 3/10
step: 400/ 1610 loss:0.3148 imps:25.6 lr: 0.0001 etc:Thu Apr 29 22:00:01 2021
Epoch 4/10
step: 500/ 1610 loss:0.2804 imps:4.7 lr: 0.0001 etc:Thu Apr 29 22:00:01 2021
step: 600/ 1610 loss:0.2621 imps:25.5 lr: 0.0001 etc:Thu Apr 29 22:00:01 2021
Epoch 5/10
step: 700/ 1610 loss:0.2451 imps:10.5 lr: 0.0001 etc:Thu Apr 29 22:00:02 2021
step: 800/ 1610 loss:0.2089 imps:25.4 lr: 0.0001 etc:Thu Apr 29 22:00:02 2021
Epoch 6/10
step: 900/ 1610 loss:0.2040 imps:13.8 lr: 0.0000 etc:Thu Apr 29 22:00:02 2021
Epoch 7/10
step: 1000/ 1610 loss:0.1937 imps:4.5 lr: 0.0000 etc:Thu Apr 29 22:00:03 2021
step: 1100/ 1610 loss:0.1744 imps:15.8 lr: 0.0000 etc:Thu Apr 29 22:00:03 2021
Epoch 8/10
step: 1200/ 1610 loss:0.1570 imps:7.9 lr: 0.0000 etc:Thu Apr 29 22:00:03 2021
Epoch 9/10
step: 1300/ 1610 loss:0.1703 imps:1.3 lr: 0.0000 etc:Thu Apr 29 22:00:03 2021
step: 1400/ 1610 loss:0.1532 imps:10.4 lr: 0.0000 etc:Thu Apr 29 22:00:03 2021
Epoch 10/10
step: 1500/ 1610 loss:0.1718 imps:4.4 lr: 0.0000 etc:Thu Apr 29 22:00:04 2021
step: 1600/ 1610 loss:0.1500 imps:12.2 lr: 0.0000 etc:Thu Apr 29 22:00:04 2021{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': True, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.eval_cam: Fri Apr 30 10:15:59 2021
threshold: 0.15 iou: [0.1392432 0.48638452] miou: 0.3128138584269857 i_imgs 2136
among_predfg_bg 0.5131077847368198
threshold: 0.16 iou: [0.14572892 0.48808183] miou: 0.31690537869795854 i_imgs 2136
among_predfg_bg 0.5113054054460361
threshold: 0.17 iou: [0.15220675 0.48979498] miou: 0.3210008643533217 i_imgs 2136
among_predfg_bg 0.509487450453273
threshold: 0.18 iou: [0.15871325 0.49153113] miou: 0.3251221916765233 i_imgs 2136
among_predfg_bg 0.5076446856974429
threshold: 0.19 iou: [0.16526541 0.49329076] miou: 0.3292780852781434 i_imgs 2136
among_predfg_bg 0.5057738798112767
threshold: 0.2 iou: [0.17184983 0.49505869] miou: 0.3334542635053105 i_imgs 2136
among_predfg_bg 0.5038838014773285
threshold: 0.21 iou: [0.17851923 0.49685547] miou: 0.337687349530217 i_imgs 2136
among_predfg_bg 0.5019557883031043
threshold: 0.22 iou: [0.18524683 0.49868689] miou: 0.3419668625834491 i_imgs 2136
among_predfg_bg 0.4999910715384247
threshold: 0.23 iou: [0.19207271 0.50054482] miou: 0.34630876092609064 i_imgs 2136
among_predfg_bg 0.4979858975477007
threshold: 0.24 iou: [0.19897221 0.50243985] miou: 0.35070603249113813 i_imgs 2136
among_predfg_bg 0.495938982679781
threshold: 0.25 iou: [0.20594607 0.50437612] miou: 0.35516109290741704 i_imgs 2136
among_predfg_bg 0.4938477791616588
threshold: 0.26 iou: [0.21301528 0.50634517] miou: 0.35968022202858996 i_imgs 2136
among_predfg_bg 0.4917114755362789
threshold: 0.27 iou: [0.22014961 0.50833917] miou: 0.3642443871083558 i_imgs 2136
among_predfg_bg 0.48953805586620586
threshold: 0.28 iou: [0.22739889 0.51037049] miou: 0.3688846892989097 i_imgs 2136
among_predfg_bg 0.4873119806247897
threshold: 0.29 iou: [0.23474496 0.51242698] miou: 0.373585970125852 i_imgs 2136
among_predfg_bg 0.48504055149414743
threshold: 0.3 iou: [0.24226248 0.51454364] miou: 0.37840306051385114 i_imgs 2136
among_predfg_bg 0.48269327902844583
threshold: 0.31 iou: [0.24993418 0.51671082] miou: 0.3833225001329114 i_imgs 2136
among_predfg_bg 0.4802757769372951
threshold: 0.32 iou: [0.25779058 0.51893947] miou: 0.3883650235219074 i_imgs 2136
among_predfg_bg 0.47777550007768727
threshold: 0.33 iou: [0.26589992 0.52124722] miou: 0.39357357211466526 i_imgs 2136
among_predfg_bg 0.4751688604958845
threshold: 0.34 iou: [0.27427459 0.52363434] miou: 0.39895446156398645 i_imgs 2136
among_predfg_bg 0.47244995081673835
result/cam_adv_mask_cdy
[0.3128138584269857, 0.31690537869795854, 0.3210008643533217, 0.3251221916765233, 0.3292780852781434, 0.3334542635053105, 0.337687349530217, 0.3419668625834491, 0.34630876092609064, 0.35070603249113813, 0.35516109290741704, 0.35968022202858996, 0.3642443871083558, 0.3688846892989097, 0.373585970125852, 0.37840306051385114, 0.3833225001329114, 0.3883650235219074, 0.39357357211466526, 0.39895446156398645]
0.39895446156398645
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': True, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.eval_cam: Fri Apr 30 10:18:29 2021
threshold: 0.35 iou: [0.28286457 0.52609434] miou: 0.4044794526807246 i_imgs 2136
among_predfg_bg 0.46962866248995216
threshold: 0.36 iou: [0.29174265 0.52862803] miou: 0.41018533776050115 i_imgs 2136
among_predfg_bg 0.46668483000516275
threshold: 0.37 iou: [0.30093005 0.5312393 ] miou: 0.41608467134126403 i_imgs 2136
among_predfg_bg 0.4636071078184854
threshold: 0.38 iou: [0.31045032 0.53394181] miou: 0.42219606405613475 i_imgs 2136
among_predfg_bg 0.46037911781576046
threshold: 0.39 iou: [0.32031686 0.53671071] miou: 0.4285137866483598 i_imgs 2136
among_predfg_bg 0.45699942500271623
threshold: 0.4 iou: [0.33059695 0.53958145] miou: 0.4350892010695655 i_imgs 2136
among_predfg_bg 0.4534303167335053
threshold: 0.41 iou: [0.34136202 0.54258434] miou: 0.4419731766402948 i_imgs 2136
among_predfg_bg 0.4496326329819931
threshold: 0.42 iou: [0.35255167 0.54568932] miou: 0.4491204963163746 i_imgs 2136
among_predfg_bg 0.4456195225564314
threshold: 0.43 iou: [0.36418276 0.54889709] miou: 0.4565399224312707 i_imgs 2136
among_predfg_bg 0.44137198109920545
threshold: 0.44 iou: [0.37631971 0.55221584] miou: 0.4642677769133128 i_imgs 2136
among_predfg_bg 0.43685181093308617
threshold: 0.45 iou: [0.38895333 0.5555989 ] miou: 0.4722761149631914 i_imgs 2136
among_predfg_bg 0.432053258462205
threshold: 0.46 iou: [0.40206348 0.55905 ] miou: 0.48055674256918135 i_imgs 2136
among_predfg_bg 0.42695507220878964
threshold: 0.47 iou: [0.4156431 0.56254625] miou: 0.4890946708855345 i_imgs 2136
among_predfg_bg 0.4215349462110565
threshold: 0.48 iou: [0.42953189 0.56597157] miou: 0.49775172946425766 i_imgs 2136
among_predfg_bg 0.41584044286924693
threshold: 0.49 iou: [0.44380918 0.56937442] miou: 0.506591801778282 i_imgs 2136
among_predfg_bg 0.4097913269036069
threshold: 0.5 iou: [0.4585092 0.57272878] miou: 0.5156189891893981 i_imgs 2136
among_predfg_bg 0.4033290241776723
threshold: 0.51 iou: [0.47348963 0.57590105] miou: 0.5246953411226095 i_imgs 2136
among_predfg_bg 0.39647325789135945
threshold: 0.52 iou: [0.48864646 0.57884261] miou: 0.53374453731655 i_imgs 2136
among_predfg_bg 0.3892055871217767
threshold: 0.53 iou: [0.50386875 0.58148169] miou: 0.5426752201798066 i_imgs 2136
among_predfg_bg 0.3815083769278284
threshold: 0.54 iou: [0.51876834 0.58354013] miou: 0.5511542351850683 i_imgs 2136
among_predfg_bg 0.373523743374868
result/cam_adv_mask_cdy
[0.4044794526807246, 0.41018533776050115, 0.41608467134126403, 0.42219606405613475, 0.4285137866483598, 0.4350892010695655, 0.4419731766402948, 0.4491204963163746, 0.4565399224312707, 0.4642677769133128, 0.4722761149631914, 0.48055674256918135, 0.4890946708855345, 0.49775172946425766, 0.506591801778282, 0.5156189891893981, 0.5246953411226095, 0.53374453731655, 0.5426752201798066, 0.5511542351850683]
0.5511542351850683
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': True, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.eval_cam: Fri Apr 30 10:20:40 2021
threshold: 0.55 iou: [0.53343433 0.5850108 ] miou: 0.5592225662888844 i_imgs 2136
among_predfg_bg 0.3651187214642146
threshold: 0.56 iou: [0.54770873 0.58578378] miou: 0.5667462540792758 i_imgs 2136
among_predfg_bg 0.35628881429220205
threshold: 0.57 iou: [0.56144065 0.58570976] miou: 0.5735752004972382 i_imgs 2136
among_predfg_bg 0.34702651692730097
threshold: 0.58 iou: [0.57450569 0.58467807] miou: 0.5795918786664263 i_imgs 2136
among_predfg_bg 0.3373071456969192
threshold: 0.59 iou: [0.586871 0.58254446] miou: 0.5847077294185944 i_imgs 2136
among_predfg_bg 0.3270287782333778
threshold: 0.6 iou: [0.5982796 0.57903347] miou: 0.5886565346089307 i_imgs 2136
among_predfg_bg 0.3162517322035806
threshold: 0.61 iou: [0.60857784 0.57399903] miou: 0.5912884373179186 i_imgs 2136
among_predfg_bg 0.3049909587050933
threshold: 0.62 iou: [0.61748332 0.56707639] miou: 0.5922798553784325 i_imgs 2136
among_predfg_bg 0.2933912693329272
threshold: 0.63 iou: [0.62478028 0.55809319] miou: 0.5914367326702578 i_imgs 2136
among_predfg_bg 0.28165232074172286
threshold: 0.64 iou: [0.6303833 0.54691019] miou: 0.5886467436134954 i_imgs 2136
among_predfg_bg 0.2699214378498237
threshold: 0.65 iou: [0.63436997 0.53347666] miou: 0.5839233163954319 i_imgs 2136
among_predfg_bg 0.2582088203446728
threshold: 0.66 iou: [0.63671169 0.51761536] miou: 0.577163524235198 i_imgs 2136
among_predfg_bg 0.2466670844243191
threshold: 0.67 iou: [0.63759163 0.499531 ] miou: 0.5685613156434106 i_imgs 2136
among_predfg_bg 0.23531039963323386
threshold: 0.68 iou: [0.63717787 0.47934861] miou: 0.5582632413887605 i_imgs 2136
among_predfg_bg 0.22413171570954435
threshold: 0.69 iou: [0.63540799 0.45685832] miou: 0.5461331524555706 i_imgs 2136
among_predfg_bg 0.21343521753475336
threshold: 0.7 iou: [0.63255561 0.43256749] miou: 0.5325615496634988 i_imgs 2136
among_predfg_bg 0.20326015969942457
threshold: 0.71 iou: [0.62887655 0.40691005] miou: 0.517893297677348 i_imgs 2136
among_predfg_bg 0.1935791835839796
threshold: 0.72 iou: [0.62457564 0.38028666] miou: 0.5024311507155157 i_imgs 2136
among_predfg_bg 0.18440776032052536
threshold: 0.73 iou: [0.61981296 0.35310704] miou: 0.4864600007652773 i_imgs 2136
among_predfg_bg 0.1758611996748775
threshold: 0.74 iou: [0.61480964 0.32579521] miou: 0.47030242792769694 i_imgs 2136
among_predfg_bg 0.16776874495370134
result/cam_adv_mask_cdy
[0.5592225662888844, 0.5667462540792758, 0.5735752004972382, 0.5795918786664263, 0.5847077294185944, 0.5886565346089307, 0.5912884373179186, 0.5922798553784325, 0.5914367326702578, 0.5886467436134954, 0.5839233163954319, 0.577163524235198, 0.5685613156434106, 0.5582632413887605, 0.5461331524555706, 0.5325615496634988, 0.517893297677348, 0.5024311507155157, 0.4864600007652773, 0.47030242792769694]
0.5922798553784325
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.55, 'conf_bg_thres': 0.45, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Fri Apr 30 11:02:04 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Fri Apr 30 11:29:46 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:1.0173 0.4086 4.1586 0.1808 imps:24.8 lr: 0.0100 etc:Fri Apr 30 11:43:59 2021
step: 50/ 660 loss:0.6848 0.5486 4.1342 0.0429 imps:134.8 lr: 0.0093 etc:Fri Apr 30 11:32:25 2021
Epoch 2/10
step: 100/ 660 loss:0.5617 0.4886 4.1373 0.0137 imps:137.6 lr: 0.0086 etc:Fri Apr 30 11:32:22 2021
Epoch 3/10
step: 150/ 660 loss:0.5124 0.4529 4.1385 0.0098 imps:134.1 lr: 0.0079 etc:Fri Apr 30 11:32:21 2021
Epoch 4/10
step: 200/ 660 loss:0.4757 0.4239 4.1370 0.0075 imps:81.0 lr: 0.0072 etc:Fri Apr 30 11:32:20 2021
step: 250/ 660 loss:0.4617 0.4096 4.1365 0.0065 imps:140.3 lr: 0.0065 etc:Fri Apr 30 11:32:19 2021
Epoch 5/10
step: 300/ 660 loss:0.4459 0.3926 4.1355 0.0059 imps:135.9 lr: 0.0058 etc:Fri Apr 30 11:32:19 2021
Epoch 6/10
step: 350/ 660 loss:0.4350 0.3786 4.1308 0.0059 imps:131.5 lr: 0.0051 etc:Fri Apr 30 11:32:19 2021
Epoch 7/10
step: 400/ 660 loss:0.4272 0.3792 4.1292 0.0066 imps:107.1 lr: 0.0043 etc:Fri Apr 30 11:32:19 2021
step: 450/ 660 loss:0.4194 0.3626 4.1239 0.0082 imps:141.0 lr: 0.0036 etc:Fri Apr 30 11:32:19 2021
Epoch 8/10
step: 500/ 660 loss:0.4168 0.3543 4.1155 0.0108 imps:139.2 lr: 0.0028 etc:Fri Apr 30 11:32:19 2021
Epoch 9/10
step: 550/ 660 loss:0.4168 0.3580 4.0983 0.0152 imps:131.1 lr: 0.0020 etc:Fri Apr 30 11:32:19 2021
Epoch 10/10
step: 600/ 660 loss:0.4068 0.3514 4.0818 0.0216 imps:109.1 lr: 0.0012 etc:Fri Apr 30 11:32:19 2021
step: 650/ 660 loss:0.4107 0.3505 4.0638 0.0265 imps:139.8 lr: 0.0002 etc:Fri Apr 30 11:32:19 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.45', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': False}
step.make_sem_seg_labels: Fri Apr 30 12:15:09 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': True}
step.eval_sem_seg: Fri Apr 30 12:36:06 2021
total images 2136
0.047127539566668486 0.42439771254426395
0.3524512124675442 0.03913819035759303
{'iou': array([0.52847475, 0.6084106 ]), 'miou': 0.5684426725319652}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.7', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': False}
step.make_sem_seg_labels: Fri Apr 30 14:09:16 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': True}
step.eval_sem_seg: Fri Apr 30 14:18:07 2021
[[50902952 26083801]
[ 7387381 55610762]]
total images 2136
0.08755504382421275 0.3091445181529211
0.2928068228955578 0.08292792757194434
{'iou': array([0.60330044, 0.62426525]), 'miou': 0.613782843777682}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.6', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': False}
step.make_sem_seg_labels: Fri Apr 30 18:15:54 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': True}
step.eval_sem_seg: Fri Apr 30 18:24:45 2021
[[47361172 29625581]
[ 5535881 57462262]]
total images 2136
0.06708318350575193 0.3589994594695075
0.3198487355140245 0.05976741984591338
{'iou': array([0.57391736, 0.62038384]), 'miou': 0.5971506008324015}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': False}
step.make_sem_seg_labels: Fri Apr 30 19:54:48 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/VOCdevkit/VOC2012/', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': True}
step.eval_sem_seg: Fri Apr 30 20:02:40 2021
[[55725752 21261001]
[10824637 52173506]]
total images 2136
0.12327144576574867 0.24212122140419368
0.25232870867997426 0.12846839507412988
{'iou': array([0.63460733, 0.6192029 ]), 'miou': 0.6269051145379767}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.7, 'conf_bg_thres': 0.3, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Thu May 6 21:10:56 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Thu May 6 21:13:21 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.7473 0.5907 4.0496 0.2011 imps:4.3 lr: 0.0100 etc:Thu May 6 22:35:56 2021
step: 50/ 660 loss:0.5811 0.4720 4.0401 0.0466 imps:89.8 lr: 0.0093 etc:Thu May 6 21:17:41 2021
Epoch 2/10
step: 100/ 660 loss:0.3923 0.3321 3.8607 0.0620 imps:138.7 lr: 0.0086 etc:Thu May 6 21:16:59 2021
Epoch 3/10
step: 150/ 660 loss:0.3222 0.2576 3.4458 0.0840 imps:132.4 lr: 0.0079 etc:Thu May 6 21:16:44 2021
Epoch 4/10
step: 200/ 660 loss:0.2942 0.2304 3.1728 0.0897 imps:88.2 lr: 0.0072 etc:Thu May 6 21:16:37 2021
step: 250/ 660 loss:0.2741 0.2100 2.9998 0.0770 imps:142.7 lr: 0.0065 etc:Thu May 6 21:16:31 2021
Epoch 5/10
step: 300/ 660 loss:0.2618 0.2027 2.8614 0.0647 imps:139.2 lr: 0.0058 etc:Thu May 6 21:16:28 2021
Epoch 6/10
step: 350/ 660 loss:0.2383 0.1809 2.8378 0.0628 imps:132.3 lr: 0.0051 etc:Thu May 6 21:16:27 2021
Epoch 7/10
step: 400/ 660 loss:0.2478 0.1802 2.7820 0.0576 imps:98.1 lr: 0.0043 etc:Thu May 6 21:16:25 2021
step: 450/ 660 loss:0.2428 0.1784 2.7707 0.0526 imps:141.1 lr: 0.0036 etc:Thu May 6 21:16:23 2021
Epoch 8/10
step: 500/ 660 loss:0.2322 0.1712 2.7420 0.0495 imps:140.0 lr: 0.0028 etc:Thu May 6 21:16:23 2021
Epoch 9/10
step: 550/ 660 loss:0.2275 0.1580 2.7198 0.0477 imps:135.3 lr: 0.0020 etc:Thu May 6 21:16:22 2021
Epoch 10/10
step: 600/ 660 loss:0.2277 0.1683 2.7285 0.0480 imps:114.2 lr: 0.0012 etc:Thu May 6 21:16:21 2021
step: 650/ 660 loss:0.2262 0.1657 2.7401 0.0459 imps:141.7 lr: 0.0002 etc:Thu May 6 21:16:21 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': False}
step.make_sem_seg_labels: Thu May 6 21:16:30 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
[[53093785 23892968]
[10292296 52705847]]
total images 2136
0.11792401633523752 0.27375376191369816
0.27497597539062424 0.11845050525363865
{'iou': array([0.60832222, 0.60657352]), 'miou': 0.6074478705534007}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.6, 'conf_bg_thres': 0.4, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Thu May 6 22:37:16 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Thu May 6 22:39:11 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.7973 0.6041 4.1417 0.2219 imps:26.9 lr: 0.0100 etc:Thu May 6 22:52:19 2021
step: 50/ 660 loss:0.6368 0.5265 4.1224 0.0448 imps:137.3 lr: 0.0093 etc:Thu May 6 22:41:48 2021
Epoch 2/10
step: 100/ 660 loss:0.4832 0.4222 4.1188 0.0143 imps:139.1 lr: 0.0086 etc:Thu May 6 22:41:45 2021
Epoch 3/10
step: 150/ 660 loss:0.4227 0.3571 4.1179 0.0113 imps:131.4 lr: 0.0079 etc:Thu May 6 22:41:45 2021
Epoch 4/10
step: 200/ 660 loss:0.3936 0.3325 4.0932 0.0160 imps:81.2 lr: 0.0072 etc:Thu May 6 22:41:44 2021
step: 250/ 660 loss:0.3756 0.3082 3.9196 0.0569 imps:141.4 lr: 0.0065 etc:Thu May 6 22:41:43 2021
Epoch 5/10
step: 300/ 660 loss:0.3643 0.3022 3.7122 0.0823 imps:138.6 lr: 0.0058 etc:Thu May 6 22:41:43 2021
Epoch 6/10
step: 350/ 660 loss:0.3490 0.2838 3.6212 0.0773 imps:135.8 lr: 0.0051 etc:Thu May 6 22:41:43 2021
Epoch 7/10
step: 400/ 660 loss:0.3392 0.2771 3.5575 0.0712 imps:98.8 lr: 0.0043 etc:Thu May 6 22:41:43 2021
step: 450/ 660 loss:0.3424 0.2719 3.5237 0.0738 imps:141.0 lr: 0.0036 etc:Thu May 6 22:41:42 2021
Epoch 8/10
step: 500/ 660 loss:0.3310 0.2655 3.5104 0.0677 imps:139.8 lr: 0.0028 etc:Thu May 6 22:41:42 2021
Epoch 9/10
step: 550/ 660 loss:0.3351 0.2662 3.4907 0.0667 imps:133.8 lr: 0.0020 etc:Thu May 6 22:41:43 2021
Epoch 10/10
step: 600/ 660 loss:0.3309 0.2619 3.4850 0.0642 imps:116.3 lr: 0.0012 etc:Thu May 6 22:41:43 2021
step: 650/ 660 loss:0.3313 0.2694 3.4785 0.0659 imps:142.4 lr: 0.0002 etc:Thu May 6 22:41:42 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Thu May 6 22:41:51 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Thu May 6 22:48:59 2021
[[54854680 22132073]
[10887903 52110240]]
total images 2136
0.1239026528877678 0.2518595691572323
0.2599790537357499 0.12789704421753145
{'iou': array([0.62423778, 0.6121239 ]), 'miou': 0.6181808400008593}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.6, 'conf_bg_thres': 0.5, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Fri May 7 21:21:05 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Fri May 7 21:23:00 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.8494 0.5218 4.1383 0.2016 imps:27.3 lr: 0.0100 etc:Fri May 7 21:35:55 2021
step: 50/ 660 loss:0.6488 0.5471 4.1227 0.0436 imps:137.4 lr: 0.0093 etc:Fri May 7 21:25:36 2021
Epoch 2/10
step: 100/ 660 loss:0.5319 0.4747 4.1209 0.0160 imps:140.5 lr: 0.0086 etc:Fri May 7 21:25:33 2021
Epoch 3/10
step: 150/ 660 loss:0.4893 0.4392 4.1222 0.0116 imps:135.3 lr: 0.0079 etc:Fri May 7 21:25:32 2021
Epoch 4/10
step: 200/ 660 loss:0.4576 0.4016 4.1184 0.0092 imps:87.7 lr: 0.0072 etc:Fri May 7 21:25:32 2021
step: 250/ 660 loss:0.4429 0.3866 4.1208 0.0080 imps:142.6 lr: 0.0065 etc:Fri May 7 21:25:30 2021
Epoch 5/10
step: 300/ 660 loss:0.4306 0.3682 4.1209 0.0075 imps:138.5 lr: 0.0058 etc:Fri May 7 21:25:31 2021
Epoch 6/10
step: 350/ 660 loss:0.4171 0.3647 4.1184 0.0079 imps:136.0 lr: 0.0051 etc:Fri May 7 21:25:31 2021
Epoch 7/10
step: 400/ 660 loss:0.4199 0.3589 4.1139 0.0087 imps:107.8 lr: 0.0043 etc:Fri May 7 21:25:31 2021
step: 450/ 660 loss:0.4080 0.3527 4.1046 0.0118 imps:142.7 lr: 0.0036 etc:Fri May 7 21:25:30 2021
Epoch 8/10
step: 500/ 660 loss:0.4085 0.3477 4.0704 0.0243 imps:140.7 lr: 0.0028 etc:Fri May 7 21:25:30 2021
Epoch 9/10
step: 550/ 660 loss:0.4052 0.3421 4.0210 0.0377 imps:136.4 lr: 0.0020 etc:Fri May 7 21:25:30 2021
Epoch 10/10
step: 600/ 660 loss:0.4011 0.3495 3.9745 0.0497 imps:116.8 lr: 0.0012 etc:Fri May 7 21:25:30 2021
step: 650/ 660 loss:0.4086 0.3362 3.9352 0.0571 imps:142.3 lr: 0.0002 etc:Fri May 7 21:25:30 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Fri May 7 21:25:39 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Fri May 7 21:32:48 2021
[[56957185 20029568]
[11872805 51125338]]
total images 2136
0.13361314491346 0.2254070181172857
0.24123955434589783 0.14299810095932908
{'iou': array([0.64097984, 0.61576234]), 'miou': 0.6283710908320137}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.7, 'conf_bg_thres': 0.5, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Fri May 7 21:55:50 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Fri May 7 21:57:45 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:1.0705 0.3661 4.0713 0.2093 imps:26.4 lr: 0.0100 etc:Fri May 7 22:11:07 2021
step: 50/ 660 loss:0.6325 0.4927 4.0429 0.0506 imps:136.9 lr: 0.0093 etc:Fri May 7 22:00:22 2021
Epoch 2/10
step: 100/ 660 loss:0.4757 0.3896 4.0045 0.0375 imps:139.8 lr: 0.0086 etc:Fri May 7 22:00:19 2021
Epoch 3/10
step: 150/ 660 loss:0.4078 0.3386 3.6694 0.1202 imps:131.2 lr: 0.0079 etc:Fri May 7 22:00:18 2021
Epoch 4/10
step: 200/ 660 loss:0.3868 0.3112 3.4676 0.1256 imps:92.8 lr: 0.0072 etc:Fri May 7 22:00:18 2021
step: 250/ 660 loss:0.3628 0.2914 3.3304 0.1281 imps:143.2 lr: 0.0065 etc:Fri May 7 22:00:16 2021
Epoch 5/10
step: 300/ 660 loss:0.3470 0.2739 3.1946 0.1391 imps:139.9 lr: 0.0058 etc:Fri May 7 22:00:16 2021
Epoch 6/10
step: 350/ 660 loss:0.3486 0.2786 3.0723 0.1488 imps:134.7 lr: 0.0051 etc:Fri May 7 22:00:16 2021
Epoch 7/10
step: 400/ 660 loss:0.3360 0.2643 2.9824 0.1458 imps:98.7 lr: 0.0043 etc:Fri May 7 22:00:17 2021
step: 450/ 660 loss:0.3300 0.2621 2.9685 0.1386 imps:140.9 lr: 0.0036 etc:Fri May 7 22:00:16 2021
Epoch 8/10
step: 500/ 660 loss:0.3263 0.2633 2.9467 0.1340 imps:138.8 lr: 0.0028 etc:Fri May 7 22:00:16 2021
Epoch 9/10
step: 550/ 660 loss:0.3268 0.2424 2.8936 0.1351 imps:135.1 lr: 0.0020 etc:Fri May 7 22:00:16 2021
Epoch 10/10
step: 600/ 660 loss:0.3223 0.2603 2.8951 0.1351 imps:110.7 lr: 0.0012 etc:Fri May 7 22:00:16 2021
step: 650/ 660 loss:0.3231 0.2513 2.8893 0.1325 imps:141.1 lr: 0.0002 etc:Fri May 7 22:00:16 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Fri May 7 22:00:25 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Fri May 7 22:07:34 2021
[[60091285 16895468]
[14233790 48764353]]
total images 2136
0.15603711107047458 0.18521560434035123
0.21147458211645986 0.178159302375255
{'iou': array([0.65874728, 0.61036612]), 'miou': 0.6345567000487297}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.7, 'conf_bg_thres': 0.6, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Sat May 8 09:53:00 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Sat May 8 09:54:56 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.7095 0.6561 4.1095 0.1973 imps:25.3 lr: 0.0100 etc:Sat May 8 10:08:55 2021
step: 50/ 660 loss:0.6603 0.5681 4.0423 0.0484 imps:136.6 lr: 0.0093 etc:Sat May 8 09:57:33 2021
Epoch 2/10
step: 100/ 660 loss:0.5581 0.5014 4.0475 0.0197 imps:139.4 lr: 0.0086 etc:Sat May 8 09:57:30 2021
Epoch 3/10
step: 150/ 660 loss:0.5091 0.4582 4.0490 0.0162 imps:131.7 lr: 0.0079 etc:Sat May 8 09:57:29 2021
Epoch 4/10
step: 200/ 660 loss:0.4841 0.4316 4.0437 0.0163 imps:88.9 lr: 0.0072 etc:Sat May 8 09:57:29 2021
step: 250/ 660 loss:0.4704 0.4122 4.0327 0.0211 imps:142.9 lr: 0.0065 etc:Sat May 8 09:57:27 2021
Epoch 5/10
step: 300/ 660 loss:0.4587 0.4037 3.9896 0.0427 imps:138.8 lr: 0.0058 etc:Sat May 8 09:57:27 2021
Epoch 6/10
step: 350/ 660 loss:0.4526 0.4035 3.7728 0.1340 imps:133.4 lr: 0.0051 etc:Sat May 8 09:57:27 2021
Epoch 7/10
step: 400/ 660 loss:0.4499 0.3832 3.6310 0.1643 imps:108.8 lr: 0.0043 etc:Sat May 8 09:57:27 2021
step: 450/ 660 loss:0.4424 0.3883 3.5886 0.1613 imps:142.6 lr: 0.0036 etc:Sat May 8 09:57:27 2021
Epoch 8/10
step: 500/ 660 loss:0.4410 0.3820 3.5417 0.1614 imps:139.6 lr: 0.0028 etc:Sat May 8 09:57:27 2021
Epoch 9/10
step: 550/ 660 loss:0.4403 0.3809 3.5102 0.1593 imps:134.1 lr: 0.0020 etc:Sat May 8 09:57:27 2021
Epoch 10/10
step: 600/ 660 loss:0.4390 0.3755 3.5096 0.1704 imps:117.5 lr: 0.0012 etc:Sat May 8 09:57:27 2021
step: 650/ 660 loss:0.4334 0.3816 3.5006 0.1579 imps:142.4 lr: 0.0002 etc:Sat May 8 09:57:27 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Sat May 8 09:57:35 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Sat May 8 10:04:45 2021
[[70201092 6785661]
[23592283 39405860]]
total images 2136
0.23456461642762216 0.06746595781649767
0.09723833627642309 0.3380767692171095
{'iou': array([0.69796943, 0.56468489]), 'miou': 0.6313271601311738}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.8, 'conf_bg_thres': 0.6, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Sat May 8 10:16:56 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Sat May 8 10:18:50 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.9421 0.4404 4.0024 0.1865 imps:26.6 lr: 0.0100 etc:Sat May 8 10:32:07 2021
step: 50/ 660 loss:0.6472 0.5066 3.8256 0.0837 imps:136.6 lr: 0.0093 etc:Sat May 8 10:21:28 2021
Epoch 2/10
step: 100/ 660 loss:0.5113 0.4239 3.3051 0.2259 imps:138.7 lr: 0.0086 etc:Sat May 8 10:21:25 2021
Epoch 3/10
step: 150/ 660 loss:0.4502 0.3817 2.8734 0.2549 imps:132.3 lr: 0.0079 etc:Sat May 8 10:21:24 2021
Epoch 4/10
step: 200/ 660 loss:0.4283 0.3595 2.6655 0.2504 imps:82.0 lr: 0.0072 etc:Sat May 8 10:21:24 2021
step: 250/ 660 loss:0.4008 0.3397 2.6336 0.2332 imps:141.3 lr: 0.0065 etc:Sat May 8 10:21:22 2021
Epoch 5/10
step: 300/ 660 loss:0.3898 0.3090 2.6677 0.2162 imps:139.4 lr: 0.0058 etc:Sat May 8 10:21:22 2021
Epoch 6/10
step: 350/ 660 loss:0.3896 0.3244 2.4417 0.2205 imps:131.1 lr: 0.0051 etc:Sat May 8 10:21:23 2021
Epoch 7/10
step: 400/ 660 loss:0.3737 0.3027 2.4700 0.2144 imps:96.7 lr: 0.0043 etc:Sat May 8 10:21:23 2021
step: 450/ 660 loss:0.3751 0.3101 2.4125 0.2120 imps:140.2 lr: 0.0036 etc:Sat May 8 10:21:22 2021
Epoch 8/10
step: 500/ 660 loss:0.3633 0.2850 2.4797 0.2034 imps:137.0 lr: 0.0028 etc:Sat May 8 10:21:23 2021
Epoch 9/10
step: 550/ 660 loss:0.3668 0.3125 2.3451 0.2170 imps:134.7 lr: 0.0020 etc:Sat May 8 10:21:23 2021
Epoch 10/10
step: 600/ 660 loss:0.3677 0.2854 2.3624 0.2008 imps:106.6 lr: 0.0012 etc:Sat May 8 10:21:23 2021
step: 650/ 660 loss:0.3568 0.2992 2.3337 0.2011 imps:139.3 lr: 0.0002 etc:Sat May 8 10:21:23 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.8', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Sat May 8 10:21:31 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Sat May 8 10:29:01 2021
[[68878048 8108705]
[24387155 38610988]]
total images 2136
0.24056638913437178 0.07998808726995121
0.1140355004907544 0.3429649279349297
{'iou': array([0.67944552, 0.54299957]), 'miou': 0.6112225475849965}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.7, 'conf_bg_thres': 0.5, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Sat May 8 10:52:59 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Sat May 8 10:54:55 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.6276 0.7752 4.0895 0.1967 imps:29.7 lr: 0.0100 etc:Sat May 8 11:06:47 2021
step: 50/ 660 loss:0.6203 0.5346 4.0414 0.0524 imps:138.5 lr: 0.0093 etc:Sat May 8 10:57:30 2021
Epoch 2/10
step: 100/ 660 loss:0.4714 0.4038 3.9936 0.0429 imps:139.2 lr: 0.0086 etc:Sat May 8 10:57:28 2021
Epoch 3/10
step: 150/ 660 loss:0.4124 0.3414 3.6713 0.1184 imps:130.6 lr: 0.0079 etc:Sat May 8 10:57:28 2021
Epoch 4/10
step: 200/ 660 loss:0.3768 0.3121 3.4874 0.1192 imps:87.5 lr: 0.0072 etc:Sat May 8 10:57:27 2021
step: 250/ 660 loss:0.3590 0.2916 3.3412 0.1319 imps:142.3 lr: 0.0065 etc:Sat May 8 10:57:26 2021
Epoch 5/10
step: 300/ 660 loss:0.3452 0.2725 3.1804 0.1330 imps:138.6 lr: 0.0058 etc:Sat May 8 10:57:26 2021
Epoch 6/10
step: 350/ 660 loss:0.3398 0.2745 3.0323 0.1505 imps:132.3 lr: 0.0051 etc:Sat May 8 10:57:26 2021
Epoch 7/10
step: 400/ 660 loss:0.3312 0.2576 2.9944 0.1425 imps:108.1 lr: 0.0043 etc:Sat May 8 10:57:26 2021
step: 450/ 660 loss:0.3269 0.2646 2.9627 0.1446 imps:142.4 lr: 0.0036 etc:Sat May 8 10:57:26 2021
Epoch 8/10
step: 500/ 660 loss:0.3337 0.2536 2.9095 0.1422 imps:138.4 lr: 0.0028 etc:Sat May 8 10:57:26 2021
Epoch 9/10
step: 550/ 660 loss:0.3197 0.2582 2.8960 0.1353 imps:134.9 lr: 0.0020 etc:Sat May 8 10:57:26 2021
Epoch 10/10
step: 600/ 660 loss:0.3219 0.2476 2.8718 0.1270 imps:113.9 lr: 0.0012 etc:Sat May 8 10:57:26 2021
step: 650/ 660 loss:0.3225 0.2446 2.8571 0.1378 imps:141.5 lr: 0.0002 etc:Sat May 8 10:57:26 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.7', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Sat May 8 10:57:34 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Sat May 8 11:05:50 2021
[[54119013 22867740]
[10376124 52622019]]
total images 2136
0.1187704017577168 0.2617558027536112
0.2663192784030416 0.120841056278429
{'iou': array([0.6194738 , 0.61283967]), 'miou': 0.6161567304036006}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.7, 'conf_bg_thres': 0.6, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Sun May 9 09:44:11 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Sun May 9 09:46:34 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.8311 0.5851 4.0698 0.1961 imps:11.7 lr: 0.0100 etc:Sun May 9 10:16:41 2021
step: 50/ 660 loss:0.6747 0.5553 4.0512 0.0473 imps:121.6 lr: 0.0093 etc:Sun May 9 09:49:38 2021
Epoch 2/10
step: 100/ 660 loss:0.5571 0.4835 4.0429 0.0182 imps:139.6 lr: 0.0086 etc:Sun May 9 09:49:25 2021
Epoch 3/10
step: 150/ 660 loss:0.5008 0.4446 4.0468 0.0152 imps:134.1 lr: 0.0079 etc:Sun May 9 09:49:21 2021
Epoch 4/10
step: 200/ 660 loss:0.4791 0.4187 4.0434 0.0149 imps:83.8 lr: 0.0072 etc:Sun May 9 09:49:19 2021
step: 250/ 660 loss:0.4665 0.4094 4.0378 0.0177 imps:141.9 lr: 0.0065 etc:Sun May 9 09:49:16 2021
Epoch 5/10
step: 300/ 660 loss:0.4569 0.3983 4.0183 0.0268 imps:139.2 lr: 0.0058 etc:Sun May 9 09:49:16 2021
Epoch 6/10
step: 350/ 660 loss:0.4459 0.3853 3.8905 0.0865 imps:135.7 lr: 0.0051 etc:Sun May 9 09:49:15 2021
Epoch 7/10
step: 400/ 660 loss:0.4416 0.3847 3.7003 0.1532 imps:104.9 lr: 0.0043 etc:Sun May 9 09:49:15 2021
step: 450/ 660 loss:0.4360 0.3746 3.6147 0.1622 imps:142.0 lr: 0.0036 etc:Sun May 9 09:49:14 2021
Epoch 8/10
step: 500/ 660 loss:0.4372 0.3828 3.5786 0.1629 imps:139.2 lr: 0.0028 etc:Sun May 9 09:49:14 2021
Epoch 9/10
step: 550/ 660 loss:0.4374 0.3786 3.5580 0.1664 imps:133.9 lr: 0.0020 etc:Sun May 9 09:49:14 2021
Epoch 10/10
step: 600/ 660 loss:0.4304 0.3666 3.5034 0.1678 imps:114.3 lr: 0.0012 etc:Sun May 9 09:49:14 2021
step: 650/ 660 loss:0.4264 0.3662 3.5212 0.1646 imps:141.4 lr: 0.0002 etc:Sun May 9 09:49:14 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.7', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Sun May 9 09:49:22 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Sun May 9 09:56:36 2021
[[63733938 13252815]
[16628811 46369332]]
total images 2136
0.17762870071476577 0.14156636390077193
0.17380522615860117 0.21808002726995246
{'iou': array([0.68080494, 0.60811475]), 'miou': 0.6444598409779544}
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'voc12/train_aug.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.7, 'conf_bg_thres': 0.6, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': True, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.cam_to_ir_label: Sun May 9 10:47:45 2021
[ ]
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'cdy12/train_aug_building.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 256, 'irn_batch_size': 32, 'irn_num_epoches': 10, 'irn_learning_rate': 0.01, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': 0.25, 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask', 'ir_label_out_dir': 'result/ir_label_cdy', 'sem_seg_out_dir': 'result/sem_seg', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': True, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': False, 'eval_sem_seg_pass': False}
step.train_irn: Sun May 9 10:49:41 2021
model pretrained initialized
Epoch 1/10
step: 0/ 660 loss:0.9863 0.4309 4.0718 0.1842 imps:27.2 lr: 0.0100 etc:Sun May 9 11:02:40 2021
step: 50/ 660 loss:0.6702 0.5474 4.0453 0.0482 imps:135.4 lr: 0.0093 etc:Sun May 9 10:52:19 2021
Epoch 2/10
step: 100/ 660 loss:0.5558 0.4939 4.0490 0.0200 imps:140.4 lr: 0.0086 etc:Sun May 9 10:52:16 2021
Epoch 3/10
step: 150/ 660 loss:0.5052 0.4466 4.0409 0.0172 imps:130.2 lr: 0.0079 etc:Sun May 9 10:52:15 2021
Epoch 4/10
step: 200/ 660 loss:0.4863 0.4325 4.0265 0.0211 imps:91.0 lr: 0.0072 etc:Sun May 9 10:52:14 2021
step: 250/ 660 loss:0.4683 0.4170 3.9070 0.0697 imps:141.0 lr: 0.0065 etc:Sun May 9 10:52:13 2021
Epoch 5/10
step: 300/ 660 loss:0.4548 0.4038 3.7626 0.1255 imps:138.3 lr: 0.0058 etc:Sun May 9 10:52:13 2021
Epoch 6/10
step: 350/ 660 loss:0.4479 0.3951 3.6687 0.1416 imps:131.1 lr: 0.0051 etc:Sun May 9 10:52:13 2021
Epoch 7/10
step: 400/ 660 loss:0.4431 0.3858 3.6142 0.1504 imps:106.7 lr: 0.0043 etc:Sun May 9 10:52:13 2021
step: 450/ 660 loss:0.4396 0.3911 3.5679 0.1560 imps:141.3 lr: 0.0036 etc:Sun May 9 10:52:13 2021
Epoch 8/10
step: 500/ 660 loss:0.4378 0.3781 3.5287 0.1577 imps:137.9 lr: 0.0028 etc:Sun May 9 10:52:13 2021
Epoch 9/10
step: 550/ 660 loss:0.4435 0.3828 3.5024 0.1609 imps:131.3 lr: 0.0020 etc:Sun May 9 10:52:13 2021
Epoch 10/10
step: 600/ 660 loss:0.4335 0.3778 3.4910 0.1615 imps:116.0 lr: 0.0012 etc:Sun May 9 10:52:13 2021
step: 650/ 660 loss:0.4355 0.3785 3.4876 0.1591 imps:141.6 lr: 0.0002 etc:Sun May 9 10:52:13 2021
Analyzing displacements mean ... done.
{'num_workers': 4, 'voc12_root': '/home/ubt/devdata/zdy/AdvCAM/Dataset/cdy', 'train_list': 'voc12/train_aug.txt', 'val_list': 'voc12/val.txt', 'infer_list': 'cdy12/train_aug_building.txt', 'chainer_eval_set': 'train', 'cam_network': 'net.resnet50_cam', 'cam_crop_size': 512, 'cam_batch_size': 16, 'cam_num_epoches': 5, 'cam_learning_rate': 0.1, 'cam_weight_decay': 0.0001, 'cam_eval_thres': 0.15, 'cam_scales': (1.0, 0.5, 1.5, 2.0), 'conf_fg_thres': 0.35, 'conf_bg_thres': 0.15, 'irn_network': 'net.resnet50_irn', 'irn_crop_size': 512, 'irn_batch_size': 32, 'irn_num_epoches': 3, 'irn_learning_rate': 0.1, 'irn_weight_decay': 0.0001, 'beta': 10, 'exp_times': 8, 'ins_seg_bg_thres': 0.25, 'sem_seg_bg_thres': '0.6', 'log_name': 'sample_train_eval', 'cam_weights_name': 'sess/res50_cam.pth', 'irn_weights_name': 'sess/res50_irn_cdy.pth', 'cam_out_dir': 'result/cam_adv_mask_cdy', 'ir_label_out_dir': 'result/ir_label', 'sem_seg_out_dir': 'result/sem_seg_cdy', 'ins_seg_out_dir': 'result/ins_seg', 'train_cam_pass': False, 'make_cam_pass': False, 'eval_cam_pass': False, 'cam_to_ir_label_pass': False, 'train_irn_pass': False, 'make_ins_seg_pass': False, 'eval_ins_seg_pass': False, 'make_sem_seg_pass': True, 'eval_sem_seg_pass': True}
step.make_sem_seg_labels: Sun May 9 10:52:21 2021
model pretrained initialized
sess/res50_irn_cdy.pth
[]
step.eval_sem_seg: Sun May 9 10:59:34 2021
[[55334452 21652301]
[11733036 51265107]]
total images 2136
0.13224824058136564 0.24405266563472106
0.25578484857090644 0.13860572308398056
{'iou': array([0.62369909, 0.60560943]), 'miou': 0.6146542610645132}