hashb commited on
Commit
54959d4
1 Parent(s): b9d3236

Upload yolov4.cfg

Browse files
Files changed (1) hide show
  1. yolov4.cfg +1155 -0
yolov4.cfg ADDED
@@ -0,0 +1,1155 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [net]
2
+ batch=64
3
+ subdivisions=8
4
+ # Training
5
+ #width=512
6
+ #height=512
7
+ width=608
8
+ height=608
9
+ channels=3
10
+ momentum=0.949
11
+ decay=0.0005
12
+ angle=0
13
+ saturation = 1.5
14
+ exposure = 1.5
15
+ hue=.1
16
+
17
+ learning_rate=0.00261
18
+ burn_in=1000
19
+ max_batches = 500500
20
+ policy=steps
21
+ steps=400000,450000
22
+ scales=.1,.1
23
+
24
+ #cutmix=1
25
+ mosaic=1
26
+
27
+ #:104x104 54:52x52 85:26x26 104:13x13 for 416
28
+
29
+ [convolutional]
30
+ batch_normalize=1
31
+ filters=32
32
+ size=3
33
+ stride=1
34
+ pad=1
35
+ activation=mish
36
+
37
+ # Downsample
38
+
39
+ [convolutional]
40
+ batch_normalize=1
41
+ filters=64
42
+ size=3
43
+ stride=2
44
+ pad=1
45
+ activation=mish
46
+
47
+ [convolutional]
48
+ batch_normalize=1
49
+ filters=64
50
+ size=1
51
+ stride=1
52
+ pad=1
53
+ activation=mish
54
+
55
+ [route]
56
+ layers = -2
57
+
58
+ [convolutional]
59
+ batch_normalize=1
60
+ filters=64
61
+ size=1
62
+ stride=1
63
+ pad=1
64
+ activation=mish
65
+
66
+ [convolutional]
67
+ batch_normalize=1
68
+ filters=32
69
+ size=1
70
+ stride=1
71
+ pad=1
72
+ activation=mish
73
+
74
+ [convolutional]
75
+ batch_normalize=1
76
+ filters=64
77
+ size=3
78
+ stride=1
79
+ pad=1
80
+ activation=mish
81
+
82
+ [shortcut]
83
+ from=-3
84
+ activation=linear
85
+
86
+ [convolutional]
87
+ batch_normalize=1
88
+ filters=64
89
+ size=1
90
+ stride=1
91
+ pad=1
92
+ activation=mish
93
+
94
+ [route]
95
+ layers = -1,-7
96
+
97
+ [convolutional]
98
+ batch_normalize=1
99
+ filters=64
100
+ size=1
101
+ stride=1
102
+ pad=1
103
+ activation=mish
104
+
105
+ # Downsample
106
+
107
+ [convolutional]
108
+ batch_normalize=1
109
+ filters=128
110
+ size=3
111
+ stride=2
112
+ pad=1
113
+ activation=mish
114
+
115
+ [convolutional]
116
+ batch_normalize=1
117
+ filters=64
118
+ size=1
119
+ stride=1
120
+ pad=1
121
+ activation=mish
122
+
123
+ [route]
124
+ layers = -2
125
+
126
+ [convolutional]
127
+ batch_normalize=1
128
+ filters=64
129
+ size=1
130
+ stride=1
131
+ pad=1
132
+ activation=mish
133
+
134
+ [convolutional]
135
+ batch_normalize=1
136
+ filters=64
137
+ size=1
138
+ stride=1
139
+ pad=1
140
+ activation=mish
141
+
142
+ [convolutional]
143
+ batch_normalize=1
144
+ filters=64
145
+ size=3
146
+ stride=1
147
+ pad=1
148
+ activation=mish
149
+
150
+ [shortcut]
151
+ from=-3
152
+ activation=linear
153
+
154
+ [convolutional]
155
+ batch_normalize=1
156
+ filters=64
157
+ size=1
158
+ stride=1
159
+ pad=1
160
+ activation=mish
161
+
162
+ [convolutional]
163
+ batch_normalize=1
164
+ filters=64
165
+ size=3
166
+ stride=1
167
+ pad=1
168
+ activation=mish
169
+
170
+ [shortcut]
171
+ from=-3
172
+ activation=linear
173
+
174
+ [convolutional]
175
+ batch_normalize=1
176
+ filters=64
177
+ size=1
178
+ stride=1
179
+ pad=1
180
+ activation=mish
181
+
182
+ [route]
183
+ layers = -1,-10
184
+
185
+ [convolutional]
186
+ batch_normalize=1
187
+ filters=128
188
+ size=1
189
+ stride=1
190
+ pad=1
191
+ activation=mish
192
+
193
+ # Downsample
194
+
195
+ [convolutional]
196
+ batch_normalize=1
197
+ filters=256
198
+ size=3
199
+ stride=2
200
+ pad=1
201
+ activation=mish
202
+
203
+ [convolutional]
204
+ batch_normalize=1
205
+ filters=128
206
+ size=1
207
+ stride=1
208
+ pad=1
209
+ activation=mish
210
+
211
+ [route]
212
+ layers = -2
213
+
214
+ [convolutional]
215
+ batch_normalize=1
216
+ filters=128
217
+ size=1
218
+ stride=1
219
+ pad=1
220
+ activation=mish
221
+
222
+ [convolutional]
223
+ batch_normalize=1
224
+ filters=128
225
+ size=1
226
+ stride=1
227
+ pad=1
228
+ activation=mish
229
+
230
+ [convolutional]
231
+ batch_normalize=1
232
+ filters=128
233
+ size=3
234
+ stride=1
235
+ pad=1
236
+ activation=mish
237
+
238
+ [shortcut]
239
+ from=-3
240
+ activation=linear
241
+
242
+ [convolutional]
243
+ batch_normalize=1
244
+ filters=128
245
+ size=1
246
+ stride=1
247
+ pad=1
248
+ activation=mish
249
+
250
+ [convolutional]
251
+ batch_normalize=1
252
+ filters=128
253
+ size=3
254
+ stride=1
255
+ pad=1
256
+ activation=mish
257
+
258
+ [shortcut]
259
+ from=-3
260
+ activation=linear
261
+
262
+ [convolutional]
263
+ batch_normalize=1
264
+ filters=128
265
+ size=1
266
+ stride=1
267
+ pad=1
268
+ activation=mish
269
+
270
+ [convolutional]
271
+ batch_normalize=1
272
+ filters=128
273
+ size=3
274
+ stride=1
275
+ pad=1
276
+ activation=mish
277
+
278
+ [shortcut]
279
+ from=-3
280
+ activation=linear
281
+
282
+ [convolutional]
283
+ batch_normalize=1
284
+ filters=128
285
+ size=1
286
+ stride=1
287
+ pad=1
288
+ activation=mish
289
+
290
+ [convolutional]
291
+ batch_normalize=1
292
+ filters=128
293
+ size=3
294
+ stride=1
295
+ pad=1
296
+ activation=mish
297
+
298
+ [shortcut]
299
+ from=-3
300
+ activation=linear
301
+
302
+
303
+ [convolutional]
304
+ batch_normalize=1
305
+ filters=128
306
+ size=1
307
+ stride=1
308
+ pad=1
309
+ activation=mish
310
+
311
+ [convolutional]
312
+ batch_normalize=1
313
+ filters=128
314
+ size=3
315
+ stride=1
316
+ pad=1
317
+ activation=mish
318
+
319
+ [shortcut]
320
+ from=-3
321
+ activation=linear
322
+
323
+ [convolutional]
324
+ batch_normalize=1
325
+ filters=128
326
+ size=1
327
+ stride=1
328
+ pad=1
329
+ activation=mish
330
+
331
+ [convolutional]
332
+ batch_normalize=1
333
+ filters=128
334
+ size=3
335
+ stride=1
336
+ pad=1
337
+ activation=mish
338
+
339
+ [shortcut]
340
+ from=-3
341
+ activation=linear
342
+
343
+ [convolutional]
344
+ batch_normalize=1
345
+ filters=128
346
+ size=1
347
+ stride=1
348
+ pad=1
349
+ activation=mish
350
+
351
+ [convolutional]
352
+ batch_normalize=1
353
+ filters=128
354
+ size=3
355
+ stride=1
356
+ pad=1
357
+ activation=mish
358
+
359
+ [shortcut]
360
+ from=-3
361
+ activation=linear
362
+
363
+ [convolutional]
364
+ batch_normalize=1
365
+ filters=128
366
+ size=1
367
+ stride=1
368
+ pad=1
369
+ activation=mish
370
+
371
+ [convolutional]
372
+ batch_normalize=1
373
+ filters=128
374
+ size=3
375
+ stride=1
376
+ pad=1
377
+ activation=mish
378
+
379
+ [shortcut]
380
+ from=-3
381
+ activation=linear
382
+
383
+ [convolutional]
384
+ batch_normalize=1
385
+ filters=128
386
+ size=1
387
+ stride=1
388
+ pad=1
389
+ activation=mish
390
+
391
+ [route]
392
+ layers = -1,-28
393
+
394
+ [convolutional]
395
+ batch_normalize=1
396
+ filters=256
397
+ size=1
398
+ stride=1
399
+ pad=1
400
+ activation=mish
401
+
402
+ # Downsample
403
+
404
+ [convolutional]
405
+ batch_normalize=1
406
+ filters=512
407
+ size=3
408
+ stride=2
409
+ pad=1
410
+ activation=mish
411
+
412
+ [convolutional]
413
+ batch_normalize=1
414
+ filters=256
415
+ size=1
416
+ stride=1
417
+ pad=1
418
+ activation=mish
419
+
420
+ [route]
421
+ layers = -2
422
+
423
+ [convolutional]
424
+ batch_normalize=1
425
+ filters=256
426
+ size=1
427
+ stride=1
428
+ pad=1
429
+ activation=mish
430
+
431
+ [convolutional]
432
+ batch_normalize=1
433
+ filters=256
434
+ size=1
435
+ stride=1
436
+ pad=1
437
+ activation=mish
438
+
439
+ [convolutional]
440
+ batch_normalize=1
441
+ filters=256
442
+ size=3
443
+ stride=1
444
+ pad=1
445
+ activation=mish
446
+
447
+ [shortcut]
448
+ from=-3
449
+ activation=linear
450
+
451
+
452
+ [convolutional]
453
+ batch_normalize=1
454
+ filters=256
455
+ size=1
456
+ stride=1
457
+ pad=1
458
+ activation=mish
459
+
460
+ [convolutional]
461
+ batch_normalize=1
462
+ filters=256
463
+ size=3
464
+ stride=1
465
+ pad=1
466
+ activation=mish
467
+
468
+ [shortcut]
469
+ from=-3
470
+ activation=linear
471
+
472
+
473
+ [convolutional]
474
+ batch_normalize=1
475
+ filters=256
476
+ size=1
477
+ stride=1
478
+ pad=1
479
+ activation=mish
480
+
481
+ [convolutional]
482
+ batch_normalize=1
483
+ filters=256
484
+ size=3
485
+ stride=1
486
+ pad=1
487
+ activation=mish
488
+
489
+ [shortcut]
490
+ from=-3
491
+ activation=linear
492
+
493
+
494
+ [convolutional]
495
+ batch_normalize=1
496
+ filters=256
497
+ size=1
498
+ stride=1
499
+ pad=1
500
+ activation=mish
501
+
502
+ [convolutional]
503
+ batch_normalize=1
504
+ filters=256
505
+ size=3
506
+ stride=1
507
+ pad=1
508
+ activation=mish
509
+
510
+ [shortcut]
511
+ from=-3
512
+ activation=linear
513
+
514
+
515
+ [convolutional]
516
+ batch_normalize=1
517
+ filters=256
518
+ size=1
519
+ stride=1
520
+ pad=1
521
+ activation=mish
522
+
523
+ [convolutional]
524
+ batch_normalize=1
525
+ filters=256
526
+ size=3
527
+ stride=1
528
+ pad=1
529
+ activation=mish
530
+
531
+ [shortcut]
532
+ from=-3
533
+ activation=linear
534
+
535
+
536
+ [convolutional]
537
+ batch_normalize=1
538
+ filters=256
539
+ size=1
540
+ stride=1
541
+ pad=1
542
+ activation=mish
543
+
544
+ [convolutional]
545
+ batch_normalize=1
546
+ filters=256
547
+ size=3
548
+ stride=1
549
+ pad=1
550
+ activation=mish
551
+
552
+ [shortcut]
553
+ from=-3
554
+ activation=linear
555
+
556
+
557
+ [convolutional]
558
+ batch_normalize=1
559
+ filters=256
560
+ size=1
561
+ stride=1
562
+ pad=1
563
+ activation=mish
564
+
565
+ [convolutional]
566
+ batch_normalize=1
567
+ filters=256
568
+ size=3
569
+ stride=1
570
+ pad=1
571
+ activation=mish
572
+
573
+ [shortcut]
574
+ from=-3
575
+ activation=linear
576
+
577
+ [convolutional]
578
+ batch_normalize=1
579
+ filters=256
580
+ size=1
581
+ stride=1
582
+ pad=1
583
+ activation=mish
584
+
585
+ [convolutional]
586
+ batch_normalize=1
587
+ filters=256
588
+ size=3
589
+ stride=1
590
+ pad=1
591
+ activation=mish
592
+
593
+ [shortcut]
594
+ from=-3
595
+ activation=linear
596
+
597
+ [convolutional]
598
+ batch_normalize=1
599
+ filters=256
600
+ size=1
601
+ stride=1
602
+ pad=1
603
+ activation=mish
604
+
605
+ [route]
606
+ layers = -1,-28
607
+
608
+ [convolutional]
609
+ batch_normalize=1
610
+ filters=512
611
+ size=1
612
+ stride=1
613
+ pad=1
614
+ activation=mish
615
+
616
+ # Downsample
617
+
618
+ [convolutional]
619
+ batch_normalize=1
620
+ filters=1024
621
+ size=3
622
+ stride=2
623
+ pad=1
624
+ activation=mish
625
+
626
+ [convolutional]
627
+ batch_normalize=1
628
+ filters=512
629
+ size=1
630
+ stride=1
631
+ pad=1
632
+ activation=mish
633
+
634
+ [route]
635
+ layers = -2
636
+
637
+ [convolutional]
638
+ batch_normalize=1
639
+ filters=512
640
+ size=1
641
+ stride=1
642
+ pad=1
643
+ activation=mish
644
+
645
+ [convolutional]
646
+ batch_normalize=1
647
+ filters=512
648
+ size=1
649
+ stride=1
650
+ pad=1
651
+ activation=mish
652
+
653
+ [convolutional]
654
+ batch_normalize=1
655
+ filters=512
656
+ size=3
657
+ stride=1
658
+ pad=1
659
+ activation=mish
660
+
661
+ [shortcut]
662
+ from=-3
663
+ activation=linear
664
+
665
+ [convolutional]
666
+ batch_normalize=1
667
+ filters=512
668
+ size=1
669
+ stride=1
670
+ pad=1
671
+ activation=mish
672
+
673
+ [convolutional]
674
+ batch_normalize=1
675
+ filters=512
676
+ size=3
677
+ stride=1
678
+ pad=1
679
+ activation=mish
680
+
681
+ [shortcut]
682
+ from=-3
683
+ activation=linear
684
+
685
+ [convolutional]
686
+ batch_normalize=1
687
+ filters=512
688
+ size=1
689
+ stride=1
690
+ pad=1
691
+ activation=mish
692
+
693
+ [convolutional]
694
+ batch_normalize=1
695
+ filters=512
696
+ size=3
697
+ stride=1
698
+ pad=1
699
+ activation=mish
700
+
701
+ [shortcut]
702
+ from=-3
703
+ activation=linear
704
+
705
+ [convolutional]
706
+ batch_normalize=1
707
+ filters=512
708
+ size=1
709
+ stride=1
710
+ pad=1
711
+ activation=mish
712
+
713
+ [convolutional]
714
+ batch_normalize=1
715
+ filters=512
716
+ size=3
717
+ stride=1
718
+ pad=1
719
+ activation=mish
720
+
721
+ [shortcut]
722
+ from=-3
723
+ activation=linear
724
+
725
+ [convolutional]
726
+ batch_normalize=1
727
+ filters=512
728
+ size=1
729
+ stride=1
730
+ pad=1
731
+ activation=mish
732
+
733
+ [route]
734
+ layers = -1,-16
735
+
736
+ [convolutional]
737
+ batch_normalize=1
738
+ filters=1024
739
+ size=1
740
+ stride=1
741
+ pad=1
742
+ activation=mish
743
+
744
+ ##########################
745
+
746
+ [convolutional]
747
+ batch_normalize=1
748
+ filters=512
749
+ size=1
750
+ stride=1
751
+ pad=1
752
+ activation=leaky
753
+
754
+ [convolutional]
755
+ batch_normalize=1
756
+ size=3
757
+ stride=1
758
+ pad=1
759
+ filters=1024
760
+ activation=leaky
761
+
762
+ [convolutional]
763
+ batch_normalize=1
764
+ filters=512
765
+ size=1
766
+ stride=1
767
+ pad=1
768
+ activation=leaky
769
+
770
+ ### SPP ###
771
+ [maxpool]
772
+ stride=1
773
+ size=5
774
+
775
+ [route]
776
+ layers=-2
777
+
778
+ [maxpool]
779
+ stride=1
780
+ size=9
781
+
782
+ [route]
783
+ layers=-4
784
+
785
+ [maxpool]
786
+ stride=1
787
+ size=13
788
+
789
+ [route]
790
+ layers=-1,-3,-5,-6
791
+ ### End SPP ###
792
+
793
+ [convolutional]
794
+ batch_normalize=1
795
+ filters=512
796
+ size=1
797
+ stride=1
798
+ pad=1
799
+ activation=leaky
800
+
801
+ [convolutional]
802
+ batch_normalize=1
803
+ size=3
804
+ stride=1
805
+ pad=1
806
+ filters=1024
807
+ activation=leaky
808
+
809
+ [convolutional]
810
+ batch_normalize=1
811
+ filters=512
812
+ size=1
813
+ stride=1
814
+ pad=1
815
+ activation=leaky
816
+
817
+ [convolutional]
818
+ batch_normalize=1
819
+ filters=256
820
+ size=1
821
+ stride=1
822
+ pad=1
823
+ activation=leaky
824
+
825
+ [upsample]
826
+ stride=2
827
+
828
+ [route]
829
+ layers = 85
830
+
831
+ [convolutional]
832
+ batch_normalize=1
833
+ filters=256
834
+ size=1
835
+ stride=1
836
+ pad=1
837
+ activation=leaky
838
+
839
+ [route]
840
+ layers = -1, -3
841
+
842
+ [convolutional]
843
+ batch_normalize=1
844
+ filters=256
845
+ size=1
846
+ stride=1
847
+ pad=1
848
+ activation=leaky
849
+
850
+ [convolutional]
851
+ batch_normalize=1
852
+ size=3
853
+ stride=1
854
+ pad=1
855
+ filters=512
856
+ activation=leaky
857
+
858
+ [convolutional]
859
+ batch_normalize=1
860
+ filters=256
861
+ size=1
862
+ stride=1
863
+ pad=1
864
+ activation=leaky
865
+
866
+ [convolutional]
867
+ batch_normalize=1
868
+ size=3
869
+ stride=1
870
+ pad=1
871
+ filters=512
872
+ activation=leaky
873
+
874
+ [convolutional]
875
+ batch_normalize=1
876
+ filters=256
877
+ size=1
878
+ stride=1
879
+ pad=1
880
+ activation=leaky
881
+
882
+ [convolutional]
883
+ batch_normalize=1
884
+ filters=128
885
+ size=1
886
+ stride=1
887
+ pad=1
888
+ activation=leaky
889
+
890
+ [upsample]
891
+ stride=2
892
+
893
+ [route]
894
+ layers = 54
895
+
896
+ [convolutional]
897
+ batch_normalize=1
898
+ filters=128
899
+ size=1
900
+ stride=1
901
+ pad=1
902
+ activation=leaky
903
+
904
+ [route]
905
+ layers = -1, -3
906
+
907
+ [convolutional]
908
+ batch_normalize=1
909
+ filters=128
910
+ size=1
911
+ stride=1
912
+ pad=1
913
+ activation=leaky
914
+
915
+ [convolutional]
916
+ batch_normalize=1
917
+ size=3
918
+ stride=1
919
+ pad=1
920
+ filters=256
921
+ activation=leaky
922
+
923
+ [convolutional]
924
+ batch_normalize=1
925
+ filters=128
926
+ size=1
927
+ stride=1
928
+ pad=1
929
+ activation=leaky
930
+
931
+ [convolutional]
932
+ batch_normalize=1
933
+ size=3
934
+ stride=1
935
+ pad=1
936
+ filters=256
937
+ activation=leaky
938
+
939
+ [convolutional]
940
+ batch_normalize=1
941
+ filters=128
942
+ size=1
943
+ stride=1
944
+ pad=1
945
+ activation=leaky
946
+
947
+ ##########################
948
+
949
+ [convolutional]
950
+ batch_normalize=1
951
+ size=3
952
+ stride=1
953
+ pad=1
954
+ filters=256
955
+ activation=leaky
956
+
957
+ [convolutional]
958
+ size=1
959
+ stride=1
960
+ pad=1
961
+ filters=255
962
+ activation=linear
963
+
964
+
965
+ [yolo]
966
+ mask = 0,1,2
967
+ anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
968
+ classes=80
969
+ num=9
970
+ jitter=.3
971
+ ignore_thresh = .7
972
+ truth_thresh = 1
973
+ scale_x_y = 1.2
974
+ iou_thresh=0.213
975
+ cls_normalizer=1.0
976
+ iou_normalizer=0.07
977
+ iou_loss=ciou
978
+ nms_kind=greedynms
979
+ beta_nms=0.6
980
+
981
+
982
+ [route]
983
+ layers = -4
984
+
985
+ [convolutional]
986
+ batch_normalize=1
987
+ size=3
988
+ stride=2
989
+ pad=1
990
+ filters=256
991
+ activation=leaky
992
+
993
+ [route]
994
+ layers = -1, -16
995
+
996
+ [convolutional]
997
+ batch_normalize=1
998
+ filters=256
999
+ size=1
1000
+ stride=1
1001
+ pad=1
1002
+ activation=leaky
1003
+
1004
+ [convolutional]
1005
+ batch_normalize=1
1006
+ size=3
1007
+ stride=1
1008
+ pad=1
1009
+ filters=512
1010
+ activation=leaky
1011
+
1012
+ [convolutional]
1013
+ batch_normalize=1
1014
+ filters=256
1015
+ size=1
1016
+ stride=1
1017
+ pad=1
1018
+ activation=leaky
1019
+
1020
+ [convolutional]
1021
+ batch_normalize=1
1022
+ size=3
1023
+ stride=1
1024
+ pad=1
1025
+ filters=512
1026
+ activation=leaky
1027
+
1028
+ [convolutional]
1029
+ batch_normalize=1
1030
+ filters=256
1031
+ size=1
1032
+ stride=1
1033
+ pad=1
1034
+ activation=leaky
1035
+
1036
+ [convolutional]
1037
+ batch_normalize=1
1038
+ size=3
1039
+ stride=1
1040
+ pad=1
1041
+ filters=512
1042
+ activation=leaky
1043
+
1044
+ [convolutional]
1045
+ size=1
1046
+ stride=1
1047
+ pad=1
1048
+ filters=255
1049
+ activation=linear
1050
+
1051
+
1052
+ [yolo]
1053
+ mask = 3,4,5
1054
+ anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
1055
+ classes=80
1056
+ num=9
1057
+ jitter=.3
1058
+ ignore_thresh = .7
1059
+ truth_thresh = 1
1060
+ scale_x_y = 1.1
1061
+ iou_thresh=0.213
1062
+ cls_normalizer=1.0
1063
+ iou_normalizer=0.07
1064
+ iou_loss=ciou
1065
+ nms_kind=greedynms
1066
+ beta_nms=0.6
1067
+
1068
+
1069
+ [route]
1070
+ layers = -4
1071
+
1072
+ [convolutional]
1073
+ batch_normalize=1
1074
+ size=3
1075
+ stride=2
1076
+ pad=1
1077
+ filters=512
1078
+ activation=leaky
1079
+
1080
+ [route]
1081
+ layers = -1, -37
1082
+
1083
+ [convolutional]
1084
+ batch_normalize=1
1085
+ filters=512
1086
+ size=1
1087
+ stride=1
1088
+ pad=1
1089
+ activation=leaky
1090
+
1091
+ [convolutional]
1092
+ batch_normalize=1
1093
+ size=3
1094
+ stride=1
1095
+ pad=1
1096
+ filters=1024
1097
+ activation=leaky
1098
+
1099
+ [convolutional]
1100
+ batch_normalize=1
1101
+ filters=512
1102
+ size=1
1103
+ stride=1
1104
+ pad=1
1105
+ activation=leaky
1106
+
1107
+ [convolutional]
1108
+ batch_normalize=1
1109
+ size=3
1110
+ stride=1
1111
+ pad=1
1112
+ filters=1024
1113
+ activation=leaky
1114
+
1115
+ [convolutional]
1116
+ batch_normalize=1
1117
+ filters=512
1118
+ size=1
1119
+ stride=1
1120
+ pad=1
1121
+ activation=leaky
1122
+
1123
+ [convolutional]
1124
+ batch_normalize=1
1125
+ size=3
1126
+ stride=1
1127
+ pad=1
1128
+ filters=1024
1129
+ activation=leaky
1130
+
1131
+ [convolutional]
1132
+ size=1
1133
+ stride=1
1134
+ pad=1
1135
+ filters=255
1136
+ activation=linear
1137
+
1138
+
1139
+ [yolo]
1140
+ mask = 6,7,8
1141
+ anchors = 12, 16, 19, 36, 40, 28, 36, 75, 76, 55, 72, 146, 142, 110, 192, 243, 459, 401
1142
+ classes=80
1143
+ num=9
1144
+ jitter=.3
1145
+ ignore_thresh = .7
1146
+ truth_thresh = 1
1147
+ random=1
1148
+ scale_x_y = 1.05
1149
+ iou_thresh=0.213
1150
+ cls_normalizer=1.0
1151
+ iou_normalizer=0.07
1152
+ iou_loss=ciou
1153
+ nms_kind=greedynms
1154
+ beta_nms=0.6
1155
+