-num lines-num-old">
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255
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+size=3
|
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256
|
+stride=1
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257
|
+pad=1
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258
|
+activation=leaky
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259
|
+
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260
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+[shortcut]
|
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261
|
+from=-3
|
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262
|
+activation=linear
|
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263
|
+
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264
|
+[convolutional]
|
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265
|
+batch_normalize=1
|
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|
266
|
+filters=128
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267
|
+size=1
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+stride=1
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269
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+pad=1
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270
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+activation=leaky
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271
|
+
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272
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+[convolutional]
|
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273
|
+batch_normalize=1
|
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274
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+filters=256
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275
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+size=3
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|
+stride=1
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+pad=1
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|
+activation=leaky
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279
|
+
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280
|
+[shortcut]
|
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281
|
+from=-3
|
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282
|
+activation=linear
|
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283
|
+
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284
|
+# Downsample
|
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285
|
+
|
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286
|
+[convolutional]
|
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287
|
+batch_normalize=1
|
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288
|
+filters=512
|
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289
|
+size=3
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|
+stride=2
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|
+pad=1
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292
|
+activation=leaky
|
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293
|
+
|
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294
|
+[convolutional]
|
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295
|
+batch_normalize=1
|
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296
|
+filters=256
|
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297
|
+size=1
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298
|
+stride=1
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299
|
+pad=1
|
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|
300
|
+activation=leaky
|
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301
|
+
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302
|
+[convolutional]
|
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|
303
|
+batch_normalize=1
|
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|
304
|
+filters=512
|
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|
305
|
+size=3
|
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306
|
+stride=1
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307
|
+pad=1
|
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|
308
|
+activation=leaky
|
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|
309
|
+
|
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|
310
|
+[shortcut]
|
|
|
311
|
+from=-3
|
|
|
312
|
+activation=linear
|
|
|
313
|
+
|
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314
|
+
|
|
|
315
|
+[convolutional]
|
|
|
316
|
+batch_normalize=1
|
|
|
317
|
+filters=256
|
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|
318
|
+size=1
|
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|
319
|
+stride=1
|
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|
320
|
+pad=1
|
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|
321
|
+activation=leaky
|
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|
322
|
+
|
|
|
323
|
+[convolutional]
|
|
|
324
|
+batch_normalize=1
|
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|
325
|
+filters=512
|
|
|
326
|
+size=3
|
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|
327
|
+stride=1
|
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|
328
|
+pad=1
|
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|
329
|
+activation=leaky
|
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|
330
|
+
|
|
|
331
|
+[shortcut]
|
|
|
332
|
+from=-3
|
|
|
333
|
+activation=linear
|
|
|
334
|
+
|
|
|
335
|
+
|
|
|
336
|
+[convolutional]
|
|
|
337
|
+batch_normalize=1
|
|
|
338
|
+filters=256
|
|
|
339
|
+size=1
|
|
|
340
|
+stride=1
|
|
|
341
|
+pad=1
|
|
|
342
|
+activation=leaky
|
|
|
343
|
+
|
|
|
344
|
+[convolutional]
|
|
|
345
|
+batch_normalize=1
|
|
|
346
|
+filters=512
|
|
|
347
|
+size=3
|
|
|
348
|
+stride=1
|
|
|
349
|
+pad=1
|
|
|
350
|
+activation=leaky
|
|
|
351
|
+
|
|
|
352
|
+[shortcut]
|
|
|
353
|
+from=-3
|
|
|
354
|
+activation=linear
|
|
|
355
|
+
|
|
|
356
|
+
|
|
|
357
|
+[convolutional]
|
|
|
358
|
+batch_normalize=1
|
|
|
359
|
+filters=256
|
|
|
360
|
+size=1
|
|
|
361
|
+stride=1
|
|
|
362
|
+pad=1
|
|
|
363
|
+activation=leaky
|
|
|
364
|
+
|
|
|
365
|
+[convolutional]
|
|
|
366
|
+batch_normalize=1
|
|
|
367
|
+filters=512
|
|
|
368
|
+size=3
|
|
|
369
|
+stride=1
|
|
|
370
|
+pad=1
|
|
|
371
|
+activation=leaky
|
|
|
372
|
+
|
|
|
373
|
+[shortcut]
|
|
|
374
|
+from=-3
|
|
|
375
|
+activation=linear
|
|
|
376
|
+
|
|
|
377
|
+[convolutional]
|
|
|
378
|
+batch_normalize=1
|
|
|
379
|
+filters=256
|
|
|
380
|
+size=1
|
|
|
381
|
+stride=1
|
|
|
382
|
+pad=1
|
|
|
383
|
+activation=leaky
|
|
|
384
|
+
|
|
|
385
|
+[convolutional]
|
|
|
386
|
+batch_normalize=1
|
|
|
387
|
+filters=512
|
|
|
388
|
+size=3
|
|
|
389
|
+stride=1
|
|
|
390
|
+pad=1
|
|
|
391
|
+activation=leaky
|
|
|
392
|
+
|
|
|
393
|
+[shortcut]
|
|
|
394
|
+from=-3
|
|
|
395
|
+activation=linear
|
|
|
396
|
+
|
|
|
397
|
+
|
|
|
398
|
+[convolutional]
|
|
|
399
|
+batch_normalize=1
|
|
|
400
|
+filters=256
|
|
|
401
|
+size=1
|
|
|
402
|
+stride=1
|
|
|
403
|
+pad=1
|
|
|
404
|
+activation=leaky
|
|
|
405
|
+
|
|
|
406
|
+[convolutional]
|
|
|
407
|
+batch_normalize=1
|
|
|
408
|
+filters=512
|
|
|
409
|
+size=3
|
|
|
410
|
+stride=1
|
|
|
411
|
+pad=1
|
|
|
412
|
+activation=leaky
|
|
|
413
|
+
|
|
|
414
|
+[shortcut]
|
|
|
415
|
+from=-3
|
|
|
416
|
+activation=linear
|
|
|
417
|
+
|
|
|
418
|
+
|
|
|
419
|
+[convolutional]
|
|
|
420
|
+batch_normalize=1
|
|
|
421
|
+filters=256
|
|
|
422
|
+size=1
|
|
|
423
|
+stride=1
|
|
|
424
|
+pad=1
|
|
|
425
|
+activation=leaky
|
|
|
426
|
+
|
|
|
427
|
+[convolutional]
|
|
|
428
|
+batch_normalize=1
|
|
|
429
|
+filters=512
|
|
|
430
|
+size=3
|
|
|
431
|
+stride=1
|
|
|
432
|
+pad=1
|
|
|
433
|
+activation=leaky
|
|
|
434
|
+
|
|
|
435
|
+[shortcut]
|
|
|
436
|
+from=-3
|
|
|
437
|
+activation=linear
|
|
|
438
|
+
|
|
|
439
|
+[convolutional]
|
|
|
440
|
+batch_normalize=1
|
|
|
441
|
+filters=256
|
|
|
442
|
+size=1
|
|
|
443
|
+stride=1
|
|
|
444
|
+pad=1
|
|
|
445
|
+activation=leaky
|
|
|
446
|
+
|
|
|
447
|
+[convolutional]
|
|
|
448
|
+batch_normalize=1
|
|
|
449
|
+filters=512
|
|
|
450
|
+size=3
|
|
|
451
|
+stride=1
|
|
|
452
|
+pad=1
|
|
|
453
|
+activation=leaky
|
|
|
454
|
+
|
|
|
455
|
+[shortcut]
|
|
|
456
|
+from=-3
|
|
|
457
|
+activation=linear
|
|
|
458
|
+
|
|
|
459
|
+# Downsample
|
|
|
460
|
+
|
|
|
461
|
+[convolutional]
|
|
|
462
|
+batch_normalize=1
|
|
|
463
|
+filters=1024
|
|
|
464
|
+size=3
|
|
|
465
|
+stride=2
|
|
|
466
|
+pad=1
|
|
|
467
|
+activation=leaky
|
|
|
468
|
+
|
|
|
469
|
+[convolutional]
|
|
|
470
|
+batch_normalize=1
|
|
|
471
|
+filters=512
|
|
|
472
|
+size=1
|
|
|
473
|
+stride=1
|
|
|
474
|
+pad=1
|
|
|
475
|
+activation=leaky
|
|
|
476
|
+
|
|
|
477
|
+[convolutional]
|
|
|
478
|
+batch_normalize=1
|
|
|
479
|
+filters=1024
|
|
|
480
|
+size=3
|
|
|
481
|
+stride=1
|
|
|
482
|
+pad=1
|
|
|
483
|
+activation=leaky
|
|
|
484
|
+
|
|
|
485
|
+[shortcut]
|
|
|
486
|
+from=-3
|
|
|
487
|
+activation=linear
|
|
|
488
|
+
|
|
|
489
|
+[convolutional]
|
|
|
490
|
+batch_normalize=1
|
|
|
491
|
+filters=512
|
|
|
492
|
+size=1
|
|
|
493
|
+stride=1
|
|
|
494
|
+pad=1
|
|
|
495
|
+activation=leaky
|
|
|
496
|
+
|
|
|
497
|
+[convolutional]
|
|
|
498
|
+batch_normalize=1
|
|
|
499
|
+filters=1024
|
|
|
500
|
+size=3
|
|
|
501
|
+stride=1
|
|
|
502
|
+pad=1
|
|
|
503
|
+activation=leaky
|
|
|
504
|
+
|
|
|
505
|
+[shortcut]
|
|
|
506
|
+from=-3
|
|
|
507
|
+activation=linear
|
|
|
508
|
+
|
|
|
509
|
+[convolutional]
|
|
|
510
|
+batch_normalize=1
|
|
|
511
|
+filters=512
|
|
|
512
|
+size=1
|
|
|
513
|
+stride=1
|
|
|
514
|
+pad=1
|
|
|
515
|
+activation=leaky
|
|
|
516
|
+
|
|
|
517
|
+[convolutional]
|
|
|
518
|
+batch_normalize=1
|
|
|
519
|
+filters=1024
|
|
|
520
|
+size=3
|
|
|
521
|
+stride=1
|
|
|
522
|
+pad=1
|
|
|
523
|
+activation=leaky
|
|
|
524
|
+
|
|
|
525
|
+[shortcut]
|
|
|
526
|
+from=-3
|
|
|
527
|
+activation=linear
|
|
|
528
|
+
|
|
|
529
|
+[convolutional]
|
|
|
530
|
+batch_normalize=1
|
|
|
531
|
+filters=512
|
|
|
532
|
+size=1
|
|
|
533
|
+stride=1
|
|
|
534
|
+pad=1
|
|
|
535
|
+activation=leaky
|
|
|
536
|
+
|
|
|
537
|
+[convolutional]
|
|
|
538
|
+batch_normalize=1
|
|
|
539
|
+filters=1024
|
|
|
540
|
+size=3
|
|
|
541
|
+stride=1
|
|
|
542
|
+pad=1
|
|
|
543
|
+activation=leaky
|
|
|
544
|
+
|
|
|
545
|
+[shortcut]
|
|
|
546
|
+from=-3
|
|
|
547
|
+activation=linear
|
|
|
548
|
+
|
|
|
549
|
+######################
|
|
|
550
|
+
|
|
|
551
|
+[convolutional]
|
|
|
552
|
+batch_normalize=1
|
|
|
553
|
+filters=512
|
|
|
554
|
+size=1
|
|
|
555
|
+stride=1
|
|
|
556
|
+pad=1
|
|
|
557
|
+activation=leaky
|
|
|
558
|
+
|
|
|
559
|
+[convolutional]
|
|
|
560
|
+batch_normalize=1
|
|
|
561
|
+size=3
|
|
|
562
|
+stride=1
|
|
|
563
|
+pad=1
|
|
|
564
|
+filters=1024
|
|
|
565
|
+activation=leaky
|
|
|
566
|
+
|
|
|
567
|
+[convolutional]
|
|
|
568
|
+batch_normalize=1
|
|
|
569
|
+filters=512
|
|
|
570
|
+size=1
|
|
|
571
|
+stride=1
|
|
|
572
|
+pad=1
|
|
|
573
|
+activation=leaky
|
|
|
574
|
+
|
|
|
575
|
+[convolutional]
|
|
|
576
|
+batch_normalize=1
|
|
|
577
|
+size=3
|
|
|
578
|
+stride=1
|
|
|
579
|
+pad=1
|
|
|
580
|
+filters=1024
|
|
|
581
|
+activation=leaky
|
|
|
582
|
+
|
|
|
583
|
+[convolutional]
|
|
|
584
|
+batch_normalize=1
|
|
|
585
|
+filters=512
|
|
|
586
|
+size=1
|
|
|
587
|
+stride=1
|
|
|
588
|
+pad=1
|
|
|
589
|
+activation=leaky
|
|
|
590
|
+
|
|
|
591
|
+[convolutional]
|
|
|
592
|
+batch_normalize=1
|
|
|
593
|
+size=3
|
|
|
594
|
+stride=1
|
|
|
595
|
+pad=1
|
|
|
596
|
+filters=1024
|
|
|
597
|
+activation=leaky
|
|
|
598
|
+
|
|
|
599
|
+[convolutional]
|
|
|
600
|
+size=1
|
|
|
601
|
+stride=1
|
|
|
602
|
+pad=1
|
|
|
603
|
+filters=255
|
|
|
604
|
+activation=linear
|
|
|
605
|
+
|
|
|
606
|
+
|
|
|
607
|
+[yolo]
|
|
|
608
|
+mask = 6,7,8
|
|
|
609
|
+anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
|
|
|
610
|
+classes=80
|
|
|
611
|
+num=9
|
|
|
612
|
+jitter=.3
|
|
|
613
|
+ignore_thresh = .7
|
|
|
614
|
+truth_thresh = 1
|
|
|
615
|
+random=1
|
|
|
616
|
+
|
|
|
617
|
+
|
|
|
618
|
+[route]
|
|
|
619
|
+layers = -4
|
|
|
620
|
+
|
|
|
621
|
+[convolutional]
|
|
|
622
|
+batch_normalize=1
|
|
|
623
|
+filters=256
|
|
|
624
|
+size=1
|
|
|
625
|
+stride=1
|
|
|
626
|
+pad=1
|
|
|
627
|
+activation=leaky
|
|
|
628
|
+
|
|
|
629
|
+[upsample]
|
|
|
630
|
+stride=2
|
|
|
631
|
+
|
|
|
632
|
+[route]
|
|
|
633
|
+layers = -1, 61
|
|
|
634
|
+
|
|
|
635
|
+
|
|
|
636
|
+
|
|
|
637
|
+[convolutional]
|
|
|
638
|
+batch_normalize=1
|
|
|
639
|
+filters=256
|
|
|
640
|
+size=1
|
|
|
641
|
+stride=1
|
|
|
642
|
+pad=1
|
|
|
643
|
+activation=leaky
|
|
|
644
|
+
|
|
|
645
|
+[convolutional]
|
|
|
646
|
+batch_normalize=1
|
|
|
647
|
+size=3
|
|
|
648
|
+stride=1
|
|
|
649
|
+pad=1
|
|
|
650
|
+filters=512
|
|
|
651
|
+activation=leaky
|
|
|
652
|
+
|
|
|
653
|
+[convolutional]
|
|
|
654
|
+batch_normalize=1
|
|
|
655
|
+filters=256
|
|
|
656
|
+size=1
|
|
|
657
|
+stride=1
|
|
|
658
|
+pad=1
|
|
|
659
|
+activation=leaky
|
|
|
660
|
+
|
|
|
661
|
+[convolutional]
|
|
|
662
|
+batch_normalize=1
|
|
|
663
|
+size=3
|
|
|
664
|
+stride=1
|
|
|
665
|
+pad=1
|
|
|
666
|
+filters=512
|
|
|
667
|
+activation=leaky
|
|
|
668
|
+
|
|
|
669
|
+[convolutional]
|
|
|
670
|
+batch_normalize=1
|
|
|
671
|
+filters=256
|
|
|
672
|
+size=1
|
|
|
673
|
+stride=1
|
|
|
674
|
+pad=1
|
|
|
675
|
+activation=leaky
|
|
|
676
|
+
|
|
|
677
|
+[convolutional]
|
|
|
678
|
+batch_normalize=1
|
|
|
679
|
+size=3
|
|
|
680
|
+stride=1
|
|
|
681
|
+pad=1
|
|
|
682
|
+filters=512
|
|
|
683
|
+activation=leaky
|
|
|
684
|
+
|
|
|
685
|
+[convolutional]
|
|
|
686
|
+size=1
|
|
|
687
|
+stride=1
|
|
|
688
|
+pad=1
|
|
|
689
|
+filters=255
|
|
|
690
|
+activation=linear
|
|
|
691
|
+
|
|
|
692
|
+
|
|
|
693
|
+[yolo]
|
|
|
694
|
+mask = 3,4,5
|
|
|
695
|
+anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
|
|
|
696
|
+classes=80
|
|
|
697
|
+num=9
|
|
|
698
|
+jitter=.3
|
|
|
699
|
+ignore_thresh = .7
|
|
|
700
|
+truth_thresh = 1
|
|
|
701
|
+random=1
|
|
|
702
|
+
|
|
|
703
|
+
|
|
|
704
|
+
|
|
|
705
|
+[route]
|
|
|
706
|
+layers = -4
|
|
|
707
|
+
|
|
|
708
|
+[convolutional]
|
|
|
709
|
+batch_normalize=1
|
|
|
710
|
+filters=128
|
|
|
711
|
+size=1
|
|
|
712
|
+stride=1
|
|
|
713
|
+pad=1
|
|
|
714
|
+activation=leaky
|
|
|
715
|
+
|
|
|
716
|
+[upsample]
|
|
|
717
|
+stride=2
|
|
|
718
|
+
|
|
|
719
|
+[route]
|
|
|
720
|
+layers = -1, 36
|
|
|
721
|
+
|
|
|
722
|
+
|
|
|
723
|
+
|
|
|
724
|
+[convolutional]
|
|
|
725
|
+batch_normalize=1
|
|
|
726
|
+filters=128
|
|
|
727
|
+size=1
|
|
|
728
|
+stride=1
|
|
|
729
|
+pad=1
|
|
|
730
|
+activation=leaky
|
|
|
731
|
+
|
|
|
732
|
+[convolutional]
|
|
|
733
|
+batch_normalize=1
|
|
|
734
|
+size=3
|
|
|
735
|
+stride=1
|
|
|
736
|
+pad=1
|
|
|
737
|
+filters=256
|
|
|
738
|
+activation=leaky
|
|
|
739
|
+
|
|
|
740
|
+[convolutional]
|
|
|
741
|
+batch_normalize=1
|
|
|
742
|
+filters=128
|
|
|
743
|
+size=1
|
|
|
744
|
+stride=1
|
|
|
745
|
+pad=1
|
|
|
746
|
+activation=leaky
|
|
|
747
|
+
|
|
|
748
|
+[convolutional]
|
|
|
749
|
+batch_normalize=1
|
|
|
750
|
+size=3
|
|
|
751
|
+stride=1
|
|
|
752
|
+pad=1
|
|
|
753
|
+filters=256
|
|
|
754
|
+activation=leaky
|
|
|
755
|
+
|
|
|
756
|
+[convolutional]
|
|
|
757
|
+batch_normalize=1
|
|
|
758
|
+filters=128
|
|
|
759
|
+size=1
|
|
|
760
|
+stride=1
|
|
|
761
|
+pad=1
|
|
|
762
|
+activation=leaky
|
|
|
763
|
+
|
|
|
764
|
+[convolutional]
|
|
|
765
|
+batch_normalize=1
|
|
|
766
|
+size=3
|
|
|
767
|
+stride=1
|
|
|
768
|
+pad=1
|
|
|
769
|
+filters=256
|
|
|
770
|
+activation=leaky
|
|
|
771
|
+
|
|
|
772
|
+[convolutional]
|
|
|
773
|
+size=1
|
|
|
774
|
+stride=1
|
|
|
775
|
+pad=1
|
|
|
776
|
+filters=255
|
|
|
777
|
+activation=linear
|
|
|
778
|
+
|
|
|
779
|
+
|
|
|
780
|
+[yolo]
|
|
|
781
|
+mask = 0,1,2
|
|
|
782
|
+anchors = 10,13, 16,30, 33,23, 30,61, 62,45, 59,119, 116,90, 156,198, 373,326
|
|
|
783
|
+classes=80
|
|
|
784
|
+num=9
|
|
|
785
|
+jitter=.3
|
|
|
786
|
+ignore_thresh = .7
|
|
|
787
|
+truth_thresh = 1
|
|
|
788
|
+random=1
|