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/
yolo-lightnet

Object Detection
darknet
yolo
Model card Files Community
yunkai1841 commited on
Commit
d12e74f
•
1 Parent(s): 029c4a8

fix weights and config

Browse files
Files changed (3) hide show
  1. face/lightnet-face-1024x768.cfg +80 -80
  2. face/{lightnet_face-640x640.cfg → lightnet-face-640x640.cfg} +0 -0
  3. face/{lightnet_face-640x640.weights → lightnet-face-640x640.weights} +1 -1
face/lightnet-face-1024x768.cfg CHANGED
@@ -21,7 +21,7 @@ scales=.5,.5,.5,.5
21
  gaussian_noise=1
22
  flip=1
23
 
24
- #sparse=1 : 2:4 structured sparsity
25
 
26
  [convolutional]
27
  batch_normalize=1
@@ -32,7 +32,7 @@ pad=1
32
  activation=relu
33
 
34
  [convolutional]
35
- sparse=1
36
  batch_normalize=1
37
  filters=64
38
  size=3
@@ -41,7 +41,7 @@ pad=1
41
  activation=relu
42
 
43
  [convolutional]
44
- sparse=1
45
  batch_normalize=1
46
  filters=32
47
  size=1
@@ -53,7 +53,7 @@ activation=relu
53
  layers=-2
54
 
55
  [convolutional]
56
- sparse=1
57
  batch_normalize=1
58
  filters=32
59
  size=1
@@ -62,7 +62,7 @@ pad=1
62
  activation=relu
63
 
64
  [convolutional]
65
- sparse=1
66
  batch_normalize=1
67
  filters=32
68
  size=3
@@ -71,7 +71,7 @@ pad=1
71
  activation=relu
72
 
73
  [convolutional]
74
- sparse=1
75
  batch_normalize=1
76
  filters=32
77
  size=3
@@ -80,7 +80,7 @@ pad=1
80
  activation=relu
81
 
82
  [convolutional]
83
- sparse=1
84
  batch_normalize=1
85
  filters=32
86
  size=3
@@ -89,7 +89,7 @@ pad=1
89
  activation=relu
90
 
91
  [convolutional]
92
- sparse=1
93
  batch_normalize=1
94
  filters=32
95
  size=3
@@ -101,7 +101,7 @@ activation=relu
101
  layers = -1,-3,-5,-7
102
 
103
  [convolutional]
104
- sparse=1
105
  batch_normalize=1
106
  filters=64
107
  size=1
@@ -110,7 +110,7 @@ pad=1
110
  activation=relu
111
 
112
  [convolutional]
113
- sparse=1
114
  batch_normalize=1
115
  filters=64
116
  size=3
@@ -120,7 +120,7 @@ activation=relu
120
 
121
 
122
  [convolutional]
123
- sparse=1
124
  batch_normalize=1
125
  filters=64
126
  size=1
@@ -132,7 +132,7 @@ activation=relu
132
  layers=-2
133
 
134
  [convolutional]
135
- sparse=1
136
  batch_normalize=1
137
  filters=64
138
  size=1
@@ -141,7 +141,7 @@ pad=1
141
  activation=relu
142
 
143
  [convolutional]
144
- sparse=1
145
  batch_normalize=1
146
  filters=64
147
  size=3
@@ -150,7 +150,7 @@ pad=1
150
  activation=relu
151
 
152
  [convolutional]
153
- sparse=1
154
  batch_normalize=1
155
  filters=64
156
  size=3
@@ -159,7 +159,7 @@ pad=1
159
  activation=relu
160
 
161
  [convolutional]
162
- sparse=1
163
  batch_normalize=1
164
  filters=64
165
  size=3
@@ -168,7 +168,7 @@ pad=1
168
  activation=relu
169
 
170
  [convolutional]
171
- sparse=1
172
  batch_normalize=1
173
  filters=64
174
  size=3
@@ -180,7 +180,7 @@ activation=relu
180
  layers = -1,-3,-5,-7
181
 
182
  [convolutional]
183
- sparse=1
184
  batch_normalize=1
185
  filters=128
186
  size=1
@@ -189,7 +189,7 @@ pad=1
189
  activation=relu
190
 
191
  [convolutional]
192
- sparse=1
193
  batch_normalize=1
194
  filters=128
195
  size=3
@@ -198,7 +198,7 @@ pad=1
198
  activation=relu
199
 
200
  [convolutional]
201
- sparse=1
202
  batch_normalize=1
203
  filters=128
204
  size=1
@@ -210,7 +210,7 @@ activation=relu
210
  layers=-2
211
 
212
  [convolutional]
213
- sparse=1
214
  batch_normalize=1
215
  filters=128
216
  size=1
@@ -219,7 +219,7 @@ pad=1
219
  activation=relu
220
 
221
  [convolutional]
222
- sparse=1
223
  batch_normalize=1
224
  filters=128
225
  size=3
@@ -228,7 +228,7 @@ pad=1
228
  activation=relu
229
 
230
  [convolutional]
231
- sparse=1
232
  batch_normalize=1
233
  filters=128
234
  size=3
@@ -237,7 +237,7 @@ pad=1
237
  activation=relu
238
 
239
  [convolutional]
240
- sparse=1
241
  batch_normalize=1
242
  filters=128
243
  size=3
@@ -246,7 +246,7 @@ pad=1
246
  activation=relu
247
 
248
  [convolutional]
249
- sparse=1
250
  batch_normalize=1
251
  filters=128
252
  size=3
@@ -258,7 +258,7 @@ activation=relu
258
  layers = -1,-3,-5,-7
259
 
260
  [convolutional]
261
- sparse=1
262
  batch_normalize=1
263
  filters=256
264
  size=1
@@ -267,7 +267,7 @@ pad=1
267
  activation=relu
268
 
269
  [convolutional]
270
- sparse=1
271
  batch_normalize=1
272
  filters=256
273
  size=3
@@ -276,7 +276,7 @@ pad=1
276
  activation=relu
277
 
278
  [convolutional]
279
- sparse=1
280
  batch_normalize=1
281
  filters=256
282
  size=1
@@ -288,7 +288,7 @@ activation=relu
288
  layers=-2
289
 
290
  [convolutional]
291
- sparse=1
292
  batch_normalize=1
293
  filters=256
294
  size=1
@@ -297,7 +297,7 @@ pad=1
297
  activation=relu
298
 
299
  [convolutional]
300
- sparse=1
301
  batch_normalize=1
302
  filters=256
303
  size=3
@@ -306,7 +306,7 @@ pad=1
306
  activation=relu
307
 
308
  [convolutional]
309
- sparse=1
310
  batch_normalize=1
311
  filters=256
312
  size=3
@@ -315,7 +315,7 @@ pad=1
315
  activation=relu
316
 
317
  [convolutional]
318
- sparse=1
319
  batch_normalize=1
320
  filters=256
321
  size=3
@@ -324,7 +324,7 @@ pad=1
324
  activation=relu
325
 
326
  [convolutional]
327
- sparse=1
328
  batch_normalize=1
329
  filters=256
330
  size=3
@@ -336,7 +336,7 @@ activation=relu
336
  layers = -1,-3,-5,-7
337
 
338
  [convolutional]
339
- sparse=1
340
  batch_normalize=1
341
  filters=512
342
  size=1
@@ -349,7 +349,7 @@ activation=relu
349
 
350
  ### ASPPCSP ###
351
  [convolutional]
352
- sparse=1
353
  batch_normalize=1
354
  filters=256
355
  size=1
@@ -361,7 +361,7 @@ activation=relu
361
  layers = -2
362
 
363
  [convolutional]
364
- sparse=1
365
  batch_normalize=1
366
  filters=256
367
  size=1
@@ -371,7 +371,7 @@ activation=relu
371
 
372
  ### ASPP ###
373
  [convolutional]
374
- sparse=1
375
  batch_normalize=1
376
  filters=256
377
  size=1
@@ -384,7 +384,7 @@ activation=relu
384
  layers=-2
385
 
386
  [convolutional]
387
- sparse=1
388
  batch_normalize=1
389
  filters=256
390
  size=1
@@ -397,7 +397,7 @@ activation=relu
397
  layers=-4
398
 
399
  [convolutional]
400
- sparse=1
401
  batch_normalize=1
402
  filters=256
403
  size=1
@@ -411,7 +411,7 @@ layers=-1,-3,-5,-6
411
  ### End ASPP ###
412
 
413
  [convolutional]
414
- sparse=1
415
  batch_normalize=1
416
  filters=256
417
  size=1
@@ -424,7 +424,7 @@ layers = -10,-1
424
 
425
  # 44
426
  [convolutional]
427
- sparse=1
428
  batch_normalize=1
429
  filters=256
430
  size=1
@@ -434,7 +434,7 @@ activation=relu
434
  ### End ASPPCSP ###
435
 
436
  [convolutional]
437
- sparse=1
438
  batch_normalize=1
439
  filters=128
440
  size=1
@@ -449,7 +449,7 @@ stride=2
449
  layers = 30
450
 
451
  [convolutional]
452
- sparse=1
453
  batch_normalize=1
454
  filters=128
455
  size=1
@@ -461,7 +461,7 @@ activation=relu
461
  layers = -1,-3
462
 
463
  [convolutional]
464
- sparse=1
465
  batch_normalize=1
466
  filters=64
467
  size=1
@@ -473,7 +473,7 @@ activation=relu
473
  layers=-2
474
 
475
  [convolutional]
476
- sparse=1
477
  batch_normalize=1
478
  filters=64
479
  size=1
@@ -482,7 +482,7 @@ pad=1
482
  activation=relu
483
 
484
  [convolutional]
485
- sparse=1
486
  batch_normalize=1
487
  filters=64
488
  size=3
@@ -491,7 +491,7 @@ pad=1
491
  activation=relu
492
 
493
  [convolutional]
494
- sparse=1
495
  batch_normalize=1
496
  filters=64
497
  size=3
@@ -500,7 +500,7 @@ pad=1
500
  activation=relu
501
 
502
  [convolutional]
503
- sparse=1
504
  batch_normalize=1
505
  filters=64
506
  size=3
@@ -509,7 +509,7 @@ pad=1
509
  activation=relu
510
 
511
  [convolutional]
512
- sparse=1
513
  batch_normalize=1
514
  filters=64
515
  size=3
@@ -523,7 +523,7 @@ layers = -1,-3,-5,-7
523
 
524
  # 56
525
  [convolutional]
526
- sparse=1
527
  batch_normalize=1
528
  filters=128
529
  size=1
@@ -532,7 +532,7 @@ pad=1
532
  activation=relu
533
 
534
  [convolutional]
535
- sparse=1
536
  batch_normalize=1
537
  filters=64
538
  size=1
@@ -547,7 +547,7 @@ stride=2
547
  layers = 20
548
 
549
  [convolutional]
550
- sparse=1
551
  batch_normalize=1
552
  filters=64
553
  size=1
@@ -559,7 +559,7 @@ activation=relu
559
  layers = -1,-3
560
 
561
  [convolutional]
562
- sparse=1
563
  batch_normalize=1
564
  filters=32
565
  size=1
@@ -571,7 +571,7 @@ activation=relu
571
  layers=-2
572
 
573
  [convolutional]
574
- sparse=1
575
  batch_normalize=1
576
  filters=32
577
  size=1
@@ -580,7 +580,7 @@ pad=1
580
  activation=relu
581
 
582
  [convolutional]
583
- sparse=1
584
  batch_normalize=1
585
  filters=32
586
  size=3
@@ -589,7 +589,7 @@ pad=1
589
  activation=relu
590
 
591
  [convolutional]
592
- sparse=1
593
  batch_normalize=1
594
  filters=32
595
  size=3
@@ -598,7 +598,7 @@ pad=1
598
  activation=relu
599
 
600
  [convolutional]
601
- sparse=1
602
  batch_normalize=1
603
  filters=32
604
  size=3
@@ -607,7 +607,7 @@ pad=1
607
  activation=relu
608
 
609
  [convolutional]
610
- sparse=1
611
  batch_normalize=1
612
  filters=32
613
  size=3
@@ -619,7 +619,7 @@ activation=relu
619
  layers = -1,-3,-5,-7
620
 
621
  [convolutional]
622
- sparse=1
623
  batch_normalize=1
624
  filters=64
625
  size=1
@@ -629,7 +629,7 @@ activation=relu
629
 
630
 
631
  [convolutional]
632
- sparse=1
633
  batch_normalize=1
634
  size=3
635
  stride=2
@@ -641,7 +641,7 @@ activation=relu
641
  layers = -1,67
642
 
643
  [convolutional]
644
- sparse=1
645
  batch_normalize=1
646
  filters=64
647
  size=1
@@ -653,7 +653,7 @@ activation=relu
653
  layers=-2
654
 
655
  [convolutional]
656
- sparse=1
657
  batch_normalize=1
658
  filters=64
659
  size=1
@@ -662,7 +662,7 @@ pad=1
662
  activation=relu
663
 
664
  [convolutional]
665
- sparse=1
666
  batch_normalize=1
667
  filters=64
668
  size=3
@@ -671,7 +671,7 @@ pad=1
671
  activation=relu
672
 
673
  [convolutional]
674
- sparse=1
675
  batch_normalize=1
676
  filters=64
677
  size=3
@@ -680,7 +680,7 @@ pad=1
680
  activation=relu
681
 
682
  [convolutional]
683
- sparse=1
684
  batch_normalize=1
685
  filters=64
686
  size=3
@@ -689,7 +689,7 @@ pad=1
689
  activation=relu
690
 
691
  [convolutional]
692
- sparse=1
693
  batch_normalize=1
694
  filters=64
695
  size=3
@@ -701,7 +701,7 @@ activation=relu
701
  layers = -1,-3,-5,-7
702
 
703
  [convolutional]
704
- sparse=1
705
  batch_normalize=1
706
  filters=128
707
  size=1
@@ -710,7 +710,7 @@ pad=1
710
  activation=relu
711
 
712
  [convolutional]
713
- sparse=1
714
  batch_normalize=1
715
  size=3
716
  stride=2
@@ -722,7 +722,7 @@ activation=relu
722
  layers = -1,53
723
 
724
  [convolutional]
725
- sparse=1
726
  batch_normalize=1
727
  filters=128
728
  size=1
@@ -734,7 +734,7 @@ activation=relu
734
  layers=-2
735
 
736
  [convolutional]
737
- sparse=1
738
  batch_normalize=1
739
  filters=128
740
  size=1
@@ -743,7 +743,7 @@ pad=1
743
  activation=relu
744
 
745
  [convolutional]
746
- sparse=1
747
  batch_normalize=1
748
  filters=128
749
  size=3
@@ -752,7 +752,7 @@ pad=1
752
  activation=relu
753
 
754
  [convolutional]
755
- sparse=1
756
  batch_normalize=1
757
  filters=128
758
  size=3
@@ -761,7 +761,7 @@ pad=1
761
  activation=relu
762
 
763
  [convolutional]
764
- sparse=1
765
  batch_normalize=1
766
  filters=128
767
  size=3
@@ -770,7 +770,7 @@ pad=1
770
  activation=relu
771
 
772
  [convolutional]
773
- sparse=1
774
  batch_normalize=1
775
  filters=128
776
  size=3
@@ -782,7 +782,7 @@ activation=relu
782
  layers = -1,-3,-5,-7
783
 
784
  [convolutional]
785
- sparse=1
786
  batch_normalize=1
787
  filters=256
788
  size=1
@@ -802,7 +802,7 @@ activation=relu
802
  layers = 80
803
 
804
  [convolutional]
805
- sparse=1
806
  batch_normalize=1
807
  size=3
808
  stride=1
@@ -811,7 +811,7 @@ filters=128
811
  activation=relu
812
 
813
  [convolutional]
814
- #sparse=1
815
  size=1
816
  stride=1
817
  pad=1
@@ -839,7 +839,7 @@ iou_normalizer=0.05
839
  layers = 91
840
 
841
  [convolutional]
842
- sparse=1
843
  batch_normalize=1
844
  size=3
845
  stride=1
@@ -848,7 +848,7 @@ filters=256
848
  activation=relu
849
 
850
  [convolutional]
851
- #sparse=1
852
  size=1
853
  stride=1
854
  pad=1
@@ -876,7 +876,7 @@ iou_normalizer=0.05
876
  layers = 102
877
 
878
  [convolutional]
879
- sparse=1
880
  batch_normalize=1
881
  size=3
882
  stride=1
@@ -885,7 +885,7 @@ filters=512
885
  activation=relu
886
 
887
  [convolutional]
888
- #sparse=1
889
  size=1
890
  stride=1
891
  pad=1
 
21
  gaussian_noise=1
22
  flip=1
23
 
24
+ ##sparse=1 : 2:4 structured sparsity
25
 
26
  [convolutional]
27
  batch_normalize=1
 
32
  activation=relu
33
 
34
  [convolutional]
35
+ #sparse=1
36
  batch_normalize=1
37
  filters=64
38
  size=3
 
41
  activation=relu
42
 
43
  [convolutional]
44
+ #sparse=1
45
  batch_normalize=1
46
  filters=32
47
  size=1
 
53
  layers=-2
54
 
55
  [convolutional]
56
+ #sparse=1
57
  batch_normalize=1
58
  filters=32
59
  size=1
 
62
  activation=relu
63
 
64
  [convolutional]
65
+ #sparse=1
66
  batch_normalize=1
67
  filters=32
68
  size=3
 
71
  activation=relu
72
 
73
  [convolutional]
74
+ #sparse=1
75
  batch_normalize=1
76
  filters=32
77
  size=3
 
80
  activation=relu
81
 
82
  [convolutional]
83
+ #sparse=1
84
  batch_normalize=1
85
  filters=32
86
  size=3
 
89
  activation=relu
90
 
91
  [convolutional]
92
+ #sparse=1
93
  batch_normalize=1
94
  filters=32
95
  size=3
 
101
  layers = -1,-3,-5,-7
102
 
103
  [convolutional]
104
+ #sparse=1
105
  batch_normalize=1
106
  filters=64
107
  size=1
 
110
  activation=relu
111
 
112
  [convolutional]
113
+ #sparse=1
114
  batch_normalize=1
115
  filters=64
116
  size=3
 
120
 
121
 
122
  [convolutional]
123
+ #sparse=1
124
  batch_normalize=1
125
  filters=64
126
  size=1
 
132
  layers=-2
133
 
134
  [convolutional]
135
+ #sparse=1
136
  batch_normalize=1
137
  filters=64
138
  size=1
 
141
  activation=relu
142
 
143
  [convolutional]
144
+ #sparse=1
145
  batch_normalize=1
146
  filters=64
147
  size=3
 
150
  activation=relu
151
 
152
  [convolutional]
153
+ #sparse=1
154
  batch_normalize=1
155
  filters=64
156
  size=3
 
159
  activation=relu
160
 
161
  [convolutional]
162
+ #sparse=1
163
  batch_normalize=1
164
  filters=64
165
  size=3
 
168
  activation=relu
169
 
170
  [convolutional]
171
+ #sparse=1
172
  batch_normalize=1
173
  filters=64
174
  size=3
 
180
  layers = -1,-3,-5,-7
181
 
182
  [convolutional]
183
+ #sparse=1
184
  batch_normalize=1
185
  filters=128
186
  size=1
 
189
  activation=relu
190
 
191
  [convolutional]
192
+ #sparse=1
193
  batch_normalize=1
194
  filters=128
195
  size=3
 
198
  activation=relu
199
 
200
  [convolutional]
201
+ #sparse=1
202
  batch_normalize=1
203
  filters=128
204
  size=1
 
210
  layers=-2
211
 
212
  [convolutional]
213
+ #sparse=1
214
  batch_normalize=1
215
  filters=128
216
  size=1
 
219
  activation=relu
220
 
221
  [convolutional]
222
+ #sparse=1
223
  batch_normalize=1
224
  filters=128
225
  size=3
 
228
  activation=relu
229
 
230
  [convolutional]
231
+ #sparse=1
232
  batch_normalize=1
233
  filters=128
234
  size=3
 
237
  activation=relu
238
 
239
  [convolutional]
240
+ #sparse=1
241
  batch_normalize=1
242
  filters=128
243
  size=3
 
246
  activation=relu
247
 
248
  [convolutional]
249
+ #sparse=1
250
  batch_normalize=1
251
  filters=128
252
  size=3
 
258
  layers = -1,-3,-5,-7
259
 
260
  [convolutional]
261
+ #sparse=1
262
  batch_normalize=1
263
  filters=256
264
  size=1
 
267
  activation=relu
268
 
269
  [convolutional]
270
+ #sparse=1
271
  batch_normalize=1
272
  filters=256
273
  size=3
 
276
  activation=relu
277
 
278
  [convolutional]
279
+ #sparse=1
280
  batch_normalize=1
281
  filters=256
282
  size=1
 
288
  layers=-2
289
 
290
  [convolutional]
291
+ #sparse=1
292
  batch_normalize=1
293
  filters=256
294
  size=1
 
297
  activation=relu
298
 
299
  [convolutional]
300
+ #sparse=1
301
  batch_normalize=1
302
  filters=256
303
  size=3
 
306
  activation=relu
307
 
308
  [convolutional]
309
+ #sparse=1
310
  batch_normalize=1
311
  filters=256
312
  size=3
 
315
  activation=relu
316
 
317
  [convolutional]
318
+ #sparse=1
319
  batch_normalize=1
320
  filters=256
321
  size=3
 
324
  activation=relu
325
 
326
  [convolutional]
327
+ #sparse=1
328
  batch_normalize=1
329
  filters=256
330
  size=3
 
336
  layers = -1,-3,-5,-7
337
 
338
  [convolutional]
339
+ #sparse=1
340
  batch_normalize=1
341
  filters=512
342
  size=1
 
349
 
350
  ### ASPPCSP ###
351
  [convolutional]
352
+ #sparse=1
353
  batch_normalize=1
354
  filters=256
355
  size=1
 
361
  layers = -2
362
 
363
  [convolutional]
364
+ #sparse=1
365
  batch_normalize=1
366
  filters=256
367
  size=1
 
371
 
372
  ### ASPP ###
373
  [convolutional]
374
+ #sparse=1
375
  batch_normalize=1
376
  filters=256
377
  size=1
 
384
  layers=-2
385
 
386
  [convolutional]
387
+ #sparse=1
388
  batch_normalize=1
389
  filters=256
390
  size=1
 
397
  layers=-4
398
 
399
  [convolutional]
400
+ #sparse=1
401
  batch_normalize=1
402
  filters=256
403
  size=1
 
411
  ### End ASPP ###
412
 
413
  [convolutional]
414
+ #sparse=1
415
  batch_normalize=1
416
  filters=256
417
  size=1
 
424
 
425
  # 44
426
  [convolutional]
427
+ #sparse=1
428
  batch_normalize=1
429
  filters=256
430
  size=1
 
434
  ### End ASPPCSP ###
435
 
436
  [convolutional]
437
+ #sparse=1
438
  batch_normalize=1
439
  filters=128
440
  size=1
 
449
  layers = 30
450
 
451
  [convolutional]
452
+ #sparse=1
453
  batch_normalize=1
454
  filters=128
455
  size=1
 
461
  layers = -1,-3
462
 
463
  [convolutional]
464
+ #sparse=1
465
  batch_normalize=1
466
  filters=64
467
  size=1
 
473
  layers=-2
474
 
475
  [convolutional]
476
+ #sparse=1
477
  batch_normalize=1
478
  filters=64
479
  size=1
 
482
  activation=relu
483
 
484
  [convolutional]
485
+ #sparse=1
486
  batch_normalize=1
487
  filters=64
488
  size=3
 
491
  activation=relu
492
 
493
  [convolutional]
494
+ #sparse=1
495
  batch_normalize=1
496
  filters=64
497
  size=3
 
500
  activation=relu
501
 
502
  [convolutional]
503
+ #sparse=1
504
  batch_normalize=1
505
  filters=64
506
  size=3
 
509
  activation=relu
510
 
511
  [convolutional]
512
+ #sparse=1
513
  batch_normalize=1
514
  filters=64
515
  size=3
 
523
 
524
  # 56
525
  [convolutional]
526
+ #sparse=1
527
  batch_normalize=1
528
  filters=128
529
  size=1
 
532
  activation=relu
533
 
534
  [convolutional]
535
+ #sparse=1
536
  batch_normalize=1
537
  filters=64
538
  size=1
 
547
  layers = 20
548
 
549
  [convolutional]
550
+ #sparse=1
551
  batch_normalize=1
552
  filters=64
553
  size=1
 
559
  layers = -1,-3
560
 
561
  [convolutional]
562
+ #sparse=1
563
  batch_normalize=1
564
  filters=32
565
  size=1
 
571
  layers=-2
572
 
573
  [convolutional]
574
+ #sparse=1
575
  batch_normalize=1
576
  filters=32
577
  size=1
 
580
  activation=relu
581
 
582
  [convolutional]
583
+ #sparse=1
584
  batch_normalize=1
585
  filters=32
586
  size=3
 
589
  activation=relu
590
 
591
  [convolutional]
592
+ #sparse=1
593
  batch_normalize=1
594
  filters=32
595
  size=3
 
598
  activation=relu
599
 
600
  [convolutional]
601
+ #sparse=1
602
  batch_normalize=1
603
  filters=32
604
  size=3
 
607
  activation=relu
608
 
609
  [convolutional]
610
+ #sparse=1
611
  batch_normalize=1
612
  filters=32
613
  size=3
 
619
  layers = -1,-3,-5,-7
620
 
621
  [convolutional]
622
+ #sparse=1
623
  batch_normalize=1
624
  filters=64
625
  size=1
 
629
 
630
 
631
  [convolutional]
632
+ #sparse=1
633
  batch_normalize=1
634
  size=3
635
  stride=2
 
641
  layers = -1,67
642
 
643
  [convolutional]
644
+ #sparse=1
645
  batch_normalize=1
646
  filters=64
647
  size=1
 
653
  layers=-2
654
 
655
  [convolutional]
656
+ #sparse=1
657
  batch_normalize=1
658
  filters=64
659
  size=1
 
662
  activation=relu
663
 
664
  [convolutional]
665
+ #sparse=1
666
  batch_normalize=1
667
  filters=64
668
  size=3
 
671
  activation=relu
672
 
673
  [convolutional]
674
+ #sparse=1
675
  batch_normalize=1
676
  filters=64
677
  size=3
 
680
  activation=relu
681
 
682
  [convolutional]
683
+ #sparse=1
684
  batch_normalize=1
685
  filters=64
686
  size=3
 
689
  activation=relu
690
 
691
  [convolutional]
692
+ #sparse=1
693
  batch_normalize=1
694
  filters=64
695
  size=3
 
701
  layers = -1,-3,-5,-7
702
 
703
  [convolutional]
704
+ #sparse=1
705
  batch_normalize=1
706
  filters=128
707
  size=1
 
710
  activation=relu
711
 
712
  [convolutional]
713
+ #sparse=1
714
  batch_normalize=1
715
  size=3
716
  stride=2
 
722
  layers = -1,53
723
 
724
  [convolutional]
725
+ #sparse=1
726
  batch_normalize=1
727
  filters=128
728
  size=1
 
734
  layers=-2
735
 
736
  [convolutional]
737
+ #sparse=1
738
  batch_normalize=1
739
  filters=128
740
  size=1
 
743
  activation=relu
744
 
745
  [convolutional]
746
+ #sparse=1
747
  batch_normalize=1
748
  filters=128
749
  size=3
 
752
  activation=relu
753
 
754
  [convolutional]
755
+ #sparse=1
756
  batch_normalize=1
757
  filters=128
758
  size=3
 
761
  activation=relu
762
 
763
  [convolutional]
764
+ #sparse=1
765
  batch_normalize=1
766
  filters=128
767
  size=3
 
770
  activation=relu
771
 
772
  [convolutional]
773
+ #sparse=1
774
  batch_normalize=1
775
  filters=128
776
  size=3
 
782
  layers = -1,-3,-5,-7
783
 
784
  [convolutional]
785
+ #sparse=1
786
  batch_normalize=1
787
  filters=256
788
  size=1
 
802
  layers = 80
803
 
804
  [convolutional]
805
+ #sparse=1
806
  batch_normalize=1
807
  size=3
808
  stride=1
 
811
  activation=relu
812
 
813
  [convolutional]
814
+ ##sparse=1
815
  size=1
816
  stride=1
817
  pad=1
 
839
  layers = 91
840
 
841
  [convolutional]
842
+ #sparse=1
843
  batch_normalize=1
844
  size=3
845
  stride=1
 
848
  activation=relu
849
 
850
  [convolutional]
851
+ ##sparse=1
852
  size=1
853
  stride=1
854
  pad=1
 
876
  layers = 102
877
 
878
  [convolutional]
879
+ #sparse=1
880
  batch_normalize=1
881
  size=3
882
  stride=1
 
885
  activation=relu
886
 
887
  [convolutional]
888
+ ##sparse=1
889
  size=1
890
  stride=1
891
  pad=1
face/{lightnet_face-640x640.cfg → lightnet-face-640x640.cfg} RENAMED
File without changes
face/{lightnet_face-640x640.weights → lightnet-face-640x640.weights} RENAMED
@@ -1,3 +1,3 @@
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  size 35988588
 
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  version https://git-lfs.github.com/spec/v1
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