1
input: "data"
2
input_shape {
3
  dim: 1
4
  dim: 3
5
  dim: 300
6
  dim: 300
7
}
8

9
layer {
10
  name: "data_bn"
11
  type: "BatchNorm"
12
  bottom: "data"
13
  top: "data_bn"
14
  param {
15
    lr_mult: 0.0
16
  }
17
  param {
18
    lr_mult: 0.0
19
  }
20
  param {
21
    lr_mult: 0.0
22
  }
23
}
24
layer {
25
  name: "data_scale"
26
  type: "Scale"
27
  bottom: "data_bn"
28
  top: "data_bn"
29
  param {
30
    lr_mult: 1.0
31
    decay_mult: 1.0
32
  }
33
  param {
34
    lr_mult: 2.0
35
    decay_mult: 1.0
36
  }
37
  scale_param {
38
    bias_term: true
39
  }
40
}
41
layer {
42
  name: "conv1_h"
43
  type: "Convolution"
44
  bottom: "data_bn"
45
  top: "conv1_h"
46
  param {
47
    lr_mult: 1.0
48
    decay_mult: 1.0
49
  }
50
  param {
51
    lr_mult: 2.0
52
    decay_mult: 1.0
53
  }
54
  convolution_param {
55
    num_output: 32
56
    pad: 3
57
    kernel_size: 7
58
    stride: 2
59
    weight_filler {
60
      type: "msra"
61
      variance_norm: FAN_OUT
62
    }
63
    bias_filler {
64
      type: "constant"
65
      value: 0.0
66
    }
67
  }
68
}
69
layer {
70
  name: "conv1_bn_h"
71
  type: "BatchNorm"
72
  bottom: "conv1_h"
73
  top: "conv1_h"
74
  param {
75
    lr_mult: 0.0
76
  }
77
  param {
78
    lr_mult: 0.0
79
  }
80
  param {
81
    lr_mult: 0.0
82
  }
83
}
84
layer {
85
  name: "conv1_scale_h"
86
  type: "Scale"
87
  bottom: "conv1_h"
88
  top: "conv1_h"
89
  param {
90
    lr_mult: 1.0
91
    decay_mult: 1.0
92
  }
93
  param {
94
    lr_mult: 2.0
95
    decay_mult: 1.0
96
  }
97
  scale_param {
98
    bias_term: true
99
  }
100
}
101
layer {
102
  name: "conv1_relu"
103
  type: "ReLU"
104
  bottom: "conv1_h"
105
  top: "conv1_h"
106
}
107
layer {
108
  name: "conv1_pool"
109
  type: "Pooling"
110
  bottom: "conv1_h"
111
  top: "conv1_pool"
112
  pooling_param {
113
    kernel_size: 3
114
    stride: 2
115
  }
116
}
117
layer {
118
  name: "layer_64_1_conv1_h"
119
  type: "Convolution"
120
  bottom: "conv1_pool"
121
  top: "layer_64_1_conv1_h"
122
  param {
123
    lr_mult: 1.0
124
    decay_mult: 1.0
125
  }
126
  convolution_param {
127
    num_output: 32
128
    bias_term: false
129
    pad: 1
130
    kernel_size: 3
131
    stride: 1
132
    weight_filler {
133
      type: "msra"
134
    }
135
    bias_filler {
136
      type: "constant"
137
      value: 0.0
138
    }
139
  }
140
}
141
layer {
142
  name: "layer_64_1_bn2_h"
143
  type: "BatchNorm"
144
  bottom: "layer_64_1_conv1_h"
145
  top: "layer_64_1_conv1_h"
146
  param {
147
    lr_mult: 0.0
148
  }
149
  param {
150
    lr_mult: 0.0
151
  }
152
  param {
153
    lr_mult: 0.0
154
  }
155
}
156
layer {
157
  name: "layer_64_1_scale2_h"
158
  type: "Scale"
159
  bottom: "layer_64_1_conv1_h"
160
  top: "layer_64_1_conv1_h"
161
  param {
162
    lr_mult: 1.0
163
    decay_mult: 1.0
164
  }
165
  param {
166
    lr_mult: 2.0
167
    decay_mult: 1.0
168
  }
169
  scale_param {
170
    bias_term: true
171
  }
172
}
173
layer {
174
  name: "layer_64_1_relu2"
175
  type: "ReLU"
176
  bottom: "layer_64_1_conv1_h"
177
  top: "layer_64_1_conv1_h"
178
}
179
layer {
180
  name: "layer_64_1_conv2_h"
181
  type: "Convolution"
182
  bottom: "layer_64_1_conv1_h"
183
  top: "layer_64_1_conv2_h"
184
  param {
185
    lr_mult: 1.0
186
    decay_mult: 1.0
187
  }
188
  convolution_param {
189
    num_output: 32
190
    bias_term: false
191
    pad: 1
192
    kernel_size: 3
193
    stride: 1
194
    weight_filler {
195
      type: "msra"
196
    }
197
    bias_filler {
198
      type: "constant"
199
      value: 0.0
200
    }
201
  }
202
}
203
layer {
204
  name: "layer_64_1_sum"
205
  type: "Eltwise"
206
  bottom: "layer_64_1_conv2_h"
207
  bottom: "conv1_pool"
208
  top: "layer_64_1_sum"
209
}
210
layer {
211
  name: "layer_128_1_bn1_h"
212
  type: "BatchNorm"
213
  bottom: "layer_64_1_sum"
214
  top: "layer_128_1_bn1_h"
215
  param {
216
    lr_mult: 0.0
217
  }
218
  param {
219
    lr_mult: 0.0
220
  }
221
  param {
222
    lr_mult: 0.0
223
  }
224
}
225
layer {
226
  name: "layer_128_1_scale1_h"
227
  type: "Scale"
228
  bottom: "layer_128_1_bn1_h"
229
  top: "layer_128_1_bn1_h"
230
  param {
231
    lr_mult: 1.0
232
    decay_mult: 1.0
233
  }
234
  param {
235
    lr_mult: 2.0
236
    decay_mult: 1.0
237
  }
238
  scale_param {
239
    bias_term: true
240
  }
241
}
242
layer {
243
  name: "layer_128_1_relu1"
244
  type: "ReLU"
245
  bottom: "layer_128_1_bn1_h"
246
  top: "layer_128_1_bn1_h"
247
}
248
layer {
249
  name: "layer_128_1_conv1_h"
250
  type: "Convolution"
251
  bottom: "layer_128_1_bn1_h"
252
  top: "layer_128_1_conv1_h"
253
  param {
254
    lr_mult: 1.0
255
    decay_mult: 1.0
256
  }
257
  convolution_param {
258
    num_output: 128
259
    bias_term: false
260
    pad: 1
261
    kernel_size: 3
262
    stride: 2
263
    weight_filler {
264
      type: "msra"
265
    }
266
    bias_filler {
267
      type: "constant"
268
      value: 0.0
269
    }
270
  }
271
}
272
layer {
273
  name: "layer_128_1_bn2"
274
  type: "BatchNorm"
275
  bottom: "layer_128_1_conv1_h"
276
  top: "layer_128_1_conv1_h"
277
  param {
278
    lr_mult: 0.0
279
  }
280
  param {
281
    lr_mult: 0.0
282
  }
283
  param {
284
    lr_mult: 0.0
285
  }
286
}
287
layer {
288
  name: "layer_128_1_scale2"
289
  type: "Scale"
290
  bottom: "layer_128_1_conv1_h"
291
  top: "layer_128_1_conv1_h"
292
  param {
293
    lr_mult: 1.0
294
    decay_mult: 1.0
295
  }
296
  param {
297
    lr_mult: 2.0
298
    decay_mult: 1.0
299
  }
300
  scale_param {
301
    bias_term: true
302
  }
303
}
304
layer {
305
  name: "layer_128_1_relu2"
306
  type: "ReLU"
307
  bottom: "layer_128_1_conv1_h"
308
  top: "layer_128_1_conv1_h"
309
}
310
layer {
311
  name: "layer_128_1_conv2"
312
  type: "Convolution"
313
  bottom: "layer_128_1_conv1_h"
314
  top: "layer_128_1_conv2"
315
  param {
316
    lr_mult: 1.0
317
    decay_mult: 1.0
318
  }
319
  convolution_param {
320
    num_output: 128
321
    bias_term: false
322
    pad: 1
323
    kernel_size: 3
324
    stride: 1
325
    weight_filler {
326
      type: "msra"
327
    }
328
    bias_filler {
329
      type: "constant"
330
      value: 0.0
331
    }
332
  }
333
}
334
layer {
335
  name: "layer_128_1_conv_expand_h"
336
  type: "Convolution"
337
  bottom: "layer_128_1_bn1_h"
338
  top: "layer_128_1_conv_expand_h"
339
  param {
340
    lr_mult: 1.0
341
    decay_mult: 1.0
342
  }
343
  convolution_param {
344
    num_output: 128
345
    bias_term: false
346
    pad: 0
347
    kernel_size: 1
348
    stride: 2
349
    weight_filler {
350
      type: "msra"
351
    }
352
    bias_filler {
353
      type: "constant"
354
      value: 0.0
355
    }
356
  }
357
}
358
layer {
359
  name: "layer_128_1_sum"
360
  type: "Eltwise"
361
  bottom: "layer_128_1_conv2"
362
  bottom: "layer_128_1_conv_expand_h"
363
  top: "layer_128_1_sum"
364
}
365
layer {
366
  name: "layer_256_1_bn1"
367
  type: "BatchNorm"
368
  bottom: "layer_128_1_sum"
369
  top: "layer_256_1_bn1"
370
  param {
371
    lr_mult: 0.0
372
  }
373
  param {
374
    lr_mult: 0.0
375
  }
376
  param {
377
    lr_mult: 0.0
378
  }
379
}
380
layer {
381
  name: "layer_256_1_scale1"
382
  type: "Scale"
383
  bottom: "layer_256_1_bn1"
384
  top: "layer_256_1_bn1"
385
  param {
386
    lr_mult: 1.0
387
    decay_mult: 1.0
388
  }
389
  param {
390
    lr_mult: 2.0
391
    decay_mult: 1.0
392
  }
393
  scale_param {
394
    bias_term: true
395
  }
396
}
397
layer {
398
  name: "layer_256_1_relu1"
399
  type: "ReLU"
400
  bottom: "layer_256_1_bn1"
401
  top: "layer_256_1_bn1"
402
}
403
layer {
404
  name: "layer_256_1_conv1"
405
  type: "Convolution"
406
  bottom: "layer_256_1_bn1"
407
  top: "layer_256_1_conv1"
408
  param {
409
    lr_mult: 1.0
410
    decay_mult: 1.0
411
  }
412
  convolution_param {
413
    num_output: 256
414
    bias_term: false
415
    pad: 1
416
    kernel_size: 3
417
    stride: 2
418
    weight_filler {
419
      type: "msra"
420
    }
421
    bias_filler {
422
      type: "constant"
423
      value: 0.0
424
    }
425
  }
426
}
427
layer {
428
  name: "layer_256_1_bn2"
429
  type: "BatchNorm"
430
  bottom: "layer_256_1_conv1"
431
  top: "layer_256_1_conv1"
432
  param {
433
    lr_mult: 0.0
434
  }
435
  param {
436
    lr_mult: 0.0
437
  }
438
  param {
439
    lr_mult: 0.0
440
  }
441
}
442
layer {
443
  name: "layer_256_1_scale2"
444
  type: "Scale"
445
  bottom: "layer_256_1_conv1"
446
  top: "layer_256_1_conv1"
447
  param {
448
    lr_mult: 1.0
449
    decay_mult: 1.0
450
  }
451
  param {
452
    lr_mult: 2.0
453
    decay_mult: 1.0
454
  }
455
  scale_param {
456
    bias_term: true
457
  }
458
}
459
layer {
460
  name: "layer_256_1_relu2"
461
  type: "ReLU"
462
  bottom: "layer_256_1_conv1"
463
  top: "layer_256_1_conv1"
464
}
465
layer {
466
  name: "layer_256_1_conv2"
467
  type: "Convolution"
468
  bottom: "layer_256_1_conv1"
469
  top: "layer_256_1_conv2"
470
  param {
471
    lr_mult: 1.0
472
    decay_mult: 1.0
473
  }
474
  convolution_param {
475
    num_output: 256
476
    bias_term: false
477
    pad: 1
478
    kernel_size: 3
479
    stride: 1
480
    weight_filler {
481
      type: "msra"
482
    }
483
    bias_filler {
484
      type: "constant"
485
      value: 0.0
486
    }
487
  }
488
}
489
layer {
490
  name: "layer_256_1_conv_expand"
491
  type: "Convolution"
492
  bottom: "layer_256_1_bn1"
493
  top: "layer_256_1_conv_expand"
494
  param {
495
    lr_mult: 1.0
496
    decay_mult: 1.0
497
  }
498
  convolution_param {
499
    num_output: 256
500
    bias_term: false
501
    pad: 0
502
    kernel_size: 1
503
    stride: 2
504
    weight_filler {
505
      type: "msra"
506
    }
507
    bias_filler {
508
      type: "constant"
509
      value: 0.0
510
    }
511
  }
512
}
513
layer {
514
  name: "layer_256_1_sum"
515
  type: "Eltwise"
516
  bottom: "layer_256_1_conv2"
517
  bottom: "layer_256_1_conv_expand"
518
  top: "layer_256_1_sum"
519
}
520
layer {
521
  name: "layer_512_1_bn1"
522
  type: "BatchNorm"
523
  bottom: "layer_256_1_sum"
524
  top: "layer_512_1_bn1"
525
  param {
526
    lr_mult: 0.0
527
  }
528
  param {
529
    lr_mult: 0.0
530
  }
531
  param {
532
    lr_mult: 0.0
533
  }
534
}
535
layer {
536
  name: "layer_512_1_scale1"
537
  type: "Scale"
538
  bottom: "layer_512_1_bn1"
539
  top: "layer_512_1_bn1"
540
  param {
541
    lr_mult: 1.0
542
    decay_mult: 1.0
543
  }
544
  param {
545
    lr_mult: 2.0
546
    decay_mult: 1.0
547
  }
548
  scale_param {
549
    bias_term: true
550
  }
551
}
552
layer {
553
  name: "layer_512_1_relu1"
554
  type: "ReLU"
555
  bottom: "layer_512_1_bn1"
556
  top: "layer_512_1_bn1"
557
}
558
layer {
559
  name: "layer_512_1_conv1_h"
560
  type: "Convolution"
561
  bottom: "layer_512_1_bn1"
562
  top: "layer_512_1_conv1_h"
563
  param {
564
    lr_mult: 1.0
565
    decay_mult: 1.0
566
  }
567
  convolution_param {
568
    num_output: 128
569
    bias_term: false
570
    pad: 1
571
    kernel_size: 3
572
    stride: 1 # 2
573
    weight_filler {
574
      type: "msra"
575
    }
576
    bias_filler {
577
      type: "constant"
578
      value: 0.0
579
    }
580
  }
581
}
582
layer {
583
  name: "layer_512_1_bn2_h"
584
  type: "BatchNorm"
585
  bottom: "layer_512_1_conv1_h"
586
  top: "layer_512_1_conv1_h"
587
  param {
588
    lr_mult: 0.0
589
  }
590
  param {
591
    lr_mult: 0.0
592
  }
593
  param {
594
    lr_mult: 0.0
595
  }
596
}
597
layer {
598
  name: "layer_512_1_scale2_h"
599
  type: "Scale"
600
  bottom: "layer_512_1_conv1_h"
601
  top: "layer_512_1_conv1_h"
602
  param {
603
    lr_mult: 1.0
604
    decay_mult: 1.0
605
  }
606
  param {
607
    lr_mult: 2.0
608
    decay_mult: 1.0
609
  }
610
  scale_param {
611
    bias_term: true
612
  }
613
}
614
layer {
615
  name: "layer_512_1_relu2"
616
  type: "ReLU"
617
  bottom: "layer_512_1_conv1_h"
618
  top: "layer_512_1_conv1_h"
619
}
620
layer {
621
  name: "layer_512_1_conv2_h"
622
  type: "Convolution"
623
  bottom: "layer_512_1_conv1_h"
624
  top: "layer_512_1_conv2_h"
625
  param {
626
    lr_mult: 1.0
627
    decay_mult: 1.0
628
  }
629
  convolution_param {
630
    num_output: 256
631
    bias_term: false
632
    pad: 2 # 1
633
    kernel_size: 3
634
    stride: 1
635
    dilation: 2
636
    weight_filler {
637
      type: "msra"
638
    }
639
    bias_filler {
640
      type: "constant"
641
      value: 0.0
642
    }
643
  }
644
}
645
layer {
646
  name: "layer_512_1_conv_expand_h"
647
  type: "Convolution"
648
  bottom: "layer_512_1_bn1"
649
  top: "layer_512_1_conv_expand_h"
650
  param {
651
    lr_mult: 1.0
652
    decay_mult: 1.0
653
  }
654
  convolution_param {
655
    num_output: 256
656
    bias_term: false
657
    pad: 0
658
    kernel_size: 1
659
    stride: 1 # 2
660
    weight_filler {
661
      type: "msra"
662
    }
663
    bias_filler {
664
      type: "constant"
665
      value: 0.0
666
    }
667
  }
668
}
669
layer {
670
  name: "layer_512_1_sum"
671
  type: "Eltwise"
672
  bottom: "layer_512_1_conv2_h"
673
  bottom: "layer_512_1_conv_expand_h"
674
  top: "layer_512_1_sum"
675
}
676
layer {
677
  name: "last_bn_h"
678
  type: "BatchNorm"
679
  bottom: "layer_512_1_sum"
680
  top: "layer_512_1_sum"
681
  param {
682
    lr_mult: 0.0
683
  }
684
  param {
685
    lr_mult: 0.0
686
  }
687
  param {
688
    lr_mult: 0.0
689
  }
690
}
691
layer {
692
  name: "last_scale_h"
693
  type: "Scale"
694
  bottom: "layer_512_1_sum"
695
  top: "layer_512_1_sum"
696
  param {
697
    lr_mult: 1.0
698
    decay_mult: 1.0
699
  }
700
  param {
701
    lr_mult: 2.0
702
    decay_mult: 1.0
703
  }
704
  scale_param {
705
    bias_term: true
706
  }
707
}
708
layer {
709
  name: "last_relu"
710
  type: "ReLU"
711
  bottom: "layer_512_1_sum"
712
  top: "fc7"
713
}
714

715
layer {
716
  name: "conv6_1_h"
717
  type: "Convolution"
718
  bottom: "fc7"
719
  top: "conv6_1_h"
720
  param {
721
    lr_mult: 1
722
    decay_mult: 1
723
  }
724
  param {
725
    lr_mult: 2
726
    decay_mult: 0
727
  }
728
  convolution_param {
729
    num_output: 128
730
    pad: 0
731
    kernel_size: 1
732
    stride: 1
733
    weight_filler {
734
      type: "xavier"
735
    }
736
    bias_filler {
737
      type: "constant"
738
      value: 0
739
    }
740
  }
741
}
742
layer {
743
  name: "conv6_1_relu"
744
  type: "ReLU"
745
  bottom: "conv6_1_h"
746
  top: "conv6_1_h"
747
}
748
layer {
749
  name: "conv6_2_h"
750
  type: "Convolution"
751
  bottom: "conv6_1_h"
752
  top: "conv6_2_h"
753
  param {
754
    lr_mult: 1
755
    decay_mult: 1
756
  }
757
  param {
758
    lr_mult: 2
759
    decay_mult: 0
760
  }
761
  convolution_param {
762
    num_output: 256
763
    pad: 1
764
    kernel_size: 3
765
    stride: 2
766
    weight_filler {
767
      type: "xavier"
768
    }
769
    bias_filler {
770
      type: "constant"
771
      value: 0
772
    }
773
  }
774
}
775
layer {
776
  name: "conv6_2_relu"
777
  type: "ReLU"
778
  bottom: "conv6_2_h"
779
  top: "conv6_2_h"
780
}
781
layer {
782
  name: "conv7_1_h"
783
  type: "Convolution"
784
  bottom: "conv6_2_h"
785
  top: "conv7_1_h"
786
  param {
787
    lr_mult: 1
788
    decay_mult: 1
789
  }
790
  param {
791
    lr_mult: 2
792
    decay_mult: 0
793
  }
794
  convolution_param {
795
    num_output: 64
796
    pad: 0
797
    kernel_size: 1
798
    stride: 1
799
    weight_filler {
800
      type: "xavier"
801
    }
802
    bias_filler {
803
      type: "constant"
804
      value: 0
805
    }
806
  }
807
}
808
layer {
809
  name: "conv7_1_relu"
810
  type: "ReLU"
811
  bottom: "conv7_1_h"
812
  top: "conv7_1_h"
813
}
814
layer {
815
  name: "conv7_2_h"
816
  type: "Convolution"
817
  bottom: "conv7_1_h"
818
  top: "conv7_2_h"
819
  param {
820
    lr_mult: 1
821
    decay_mult: 1
822
  }
823
  param {
824
    lr_mult: 2
825
    decay_mult: 0
826
  }
827
  convolution_param {
828
    num_output: 128
829
    pad: 1
830
    kernel_size: 3
831
    stride: 2
832
    weight_filler {
833
      type: "xavier"
834
    }
835
    bias_filler {
836
      type: "constant"
837
      value: 0
838
    }
839
  }
840
}
841
layer {
842
  name: "conv7_2_relu"
843
  type: "ReLU"
844
  bottom: "conv7_2_h"
845
  top: "conv7_2_h"
846
}
847
layer {
848
  name: "conv8_1_h"
849
  type: "Convolution"
850
  bottom: "conv7_2_h"
851
  top: "conv8_1_h"
852
  param {
853
    lr_mult: 1
854
    decay_mult: 1
855
  }
856
  param {
857
    lr_mult: 2
858
    decay_mult: 0
859
  }
860
  convolution_param {
861
    num_output: 64
862
    pad: 0
863
    kernel_size: 1
864
    stride: 1
865
    weight_filler {
866
      type: "xavier"
867
    }
868
    bias_filler {
869
      type: "constant"
870
      value: 0
871
    }
872
  }
873
}
874
layer {
875
  name: "conv8_1_relu"
876
  type: "ReLU"
877
  bottom: "conv8_1_h"
878
  top: "conv8_1_h"
879
}
880
layer {
881
  name: "conv8_2_h"
882
  type: "Convolution"
883
  bottom: "conv8_1_h"
884
  top: "conv8_2_h"
885
  param {
886
    lr_mult: 1
887
    decay_mult: 1
888
  }
889
  param {
890
    lr_mult: 2
891
    decay_mult: 0
892
  }
893
  convolution_param {
894
    num_output: 128
895
    pad: 1
896
    kernel_size: 3
897
    stride: 1
898
    weight_filler {
899
      type: "xavier"
900
    }
901
    bias_filler {
902
      type: "constant"
903
      value: 0
904
    }
905
  }
906
}
907
layer {
908
  name: "conv8_2_relu"
909
  type: "ReLU"
910
  bottom: "conv8_2_h"
911
  top: "conv8_2_h"
912
}
913
layer {
914
  name: "conv9_1_h"
915
  type: "Convolution"
916
  bottom: "conv8_2_h"
917
  top: "conv9_1_h"
918
  param {
919
    lr_mult: 1
920
    decay_mult: 1
921
  }
922
  param {
923
    lr_mult: 2
924
    decay_mult: 0
925
  }
926
  convolution_param {
927
    num_output: 64
928
    pad: 0
929
    kernel_size: 1
930
    stride: 1
931
    weight_filler {
932
      type: "xavier"
933
    }
934
    bias_filler {
935
      type: "constant"
936
      value: 0
937
    }
938
  }
939
}
940
layer {
941
  name: "conv9_1_relu"
942
  type: "ReLU"
943
  bottom: "conv9_1_h"
944
  top: "conv9_1_h"
945
}
946
layer {
947
  name: "conv9_2_h"
948
  type: "Convolution"
949
  bottom: "conv9_1_h"
950
  top: "conv9_2_h"
951
  param {
952
    lr_mult: 1
953
    decay_mult: 1
954
  }
955
  param {
956
    lr_mult: 2
957
    decay_mult: 0
958
  }
959
  convolution_param {
960
    num_output: 128
961
    pad: 1
962
    kernel_size: 3
963
    stride: 1
964
    weight_filler {
965
      type: "xavier"
966
    }
967
    bias_filler {
968
      type: "constant"
969
      value: 0
970
    }
971
  }
972
}
973
layer {
974
  name: "conv9_2_relu"
975
  type: "ReLU"
976
  bottom: "conv9_2_h"
977
  top: "conv9_2_h"
978
}
979
layer {
980
  name: "conv4_3_norm"
981
  type: "Normalize"
982
  bottom: "layer_256_1_bn1"
983
  top: "conv4_3_norm"
984
  norm_param {
985
    across_spatial: false
986
    scale_filler {
987
      type: "constant"
988
      value: 20
989
    }
990
    channel_shared: false
991
  }
992
}
993
layer {
994
  name: "conv4_3_norm_mbox_loc"
995
  type: "Convolution"
996
  bottom: "conv4_3_norm"
997
  top: "conv4_3_norm_mbox_loc"
998
  param {
999
    lr_mult: 1
1000
    decay_mult: 1
1001
  }
1002
  param {
1003
    lr_mult: 2
1004
    decay_mult: 0
1005
  }
1006
  convolution_param {
1007
    num_output: 16
1008
    pad: 1
1009
    kernel_size: 3
1010
    stride: 1
1011
    weight_filler {
1012
      type: "xavier"
1013
    }
1014
    bias_filler {
1015
      type: "constant"
1016
      value: 0
1017
    }
1018
  }
1019
}
1020
layer {
1021
  name: "conv4_3_norm_mbox_loc_perm"
1022
  type: "Permute"
1023
  bottom: "conv4_3_norm_mbox_loc"
1024
  top: "conv4_3_norm_mbox_loc_perm"
1025
  permute_param {
1026
    order: 0
1027
    order: 2
1028
    order: 3
1029
    order: 1
1030
  }
1031
}
1032
layer {
1033
  name: "conv4_3_norm_mbox_loc_flat"
1034
  type: "Flatten"
1035
  bottom: "conv4_3_norm_mbox_loc_perm"
1036
  top: "conv4_3_norm_mbox_loc_flat"
1037
  flatten_param {
1038
    axis: 1
1039
  }
1040
}
1041
layer {
1042
  name: "conv4_3_norm_mbox_conf"
1043
  type: "Convolution"
1044
  bottom: "conv4_3_norm"
1045
  top: "conv4_3_norm_mbox_conf"
1046
  param {
1047
    lr_mult: 1
1048
    decay_mult: 1
1049
  }
1050
  param {
1051
    lr_mult: 2
1052
    decay_mult: 0
1053
  }
1054
  convolution_param {
1055
    num_output: 8 # 84
1056
    pad: 1
1057
    kernel_size: 3
1058
    stride: 1
1059
    weight_filler {
1060
      type: "xavier"
1061
    }
1062
    bias_filler {
1063
      type: "constant"
1064
      value: 0
1065
    }
1066
  }
1067
}
1068
layer {
1069
  name: "conv4_3_norm_mbox_conf_perm"
1070
  type: "Permute"
1071
  bottom: "conv4_3_norm_mbox_conf"
1072
  top: "conv4_3_norm_mbox_conf_perm"
1073
  permute_param {
1074
    order: 0
1075
    order: 2
1076
    order: 3
1077
    order: 1
1078
  }
1079
}
1080
layer {
1081
  name: "conv4_3_norm_mbox_conf_flat"
1082
  type: "Flatten"
1083
  bottom: "conv4_3_norm_mbox_conf_perm"
1084
  top: "conv4_3_norm_mbox_conf_flat"
1085
  flatten_param {
1086
    axis: 1
1087
  }
1088
}
1089
layer {
1090
  name: "conv4_3_norm_mbox_priorbox"
1091
  type: "PriorBox"
1092
  bottom: "conv4_3_norm"
1093
  bottom: "data"
1094
  top: "conv4_3_norm_mbox_priorbox"
1095
  prior_box_param {
1096
    min_size: 30.0
1097
    max_size: 60.0
1098
    aspect_ratio: 2
1099
    flip: true
1100
    clip: false
1101
    variance: 0.1
1102
    variance: 0.1
1103
    variance: 0.2
1104
    variance: 0.2
1105
    step: 8
1106
    offset: 0.5
1107
  }
1108
}
1109
layer {
1110
  name: "fc7_mbox_loc"
1111
  type: "Convolution"
1112
  bottom: "fc7"
1113
  top: "fc7_mbox_loc"
1114
  param {
1115
    lr_mult: 1
1116
    decay_mult: 1
1117
  }
1118
  param {
1119
    lr_mult: 2
1120
    decay_mult: 0
1121
  }
1122
  convolution_param {
1123
    num_output: 24
1124
    pad: 1
1125
    kernel_size: 3
1126
    stride: 1
1127
    weight_filler {
1128
      type: "xavier"
1129
    }
1130
    bias_filler {
1131
      type: "constant"
1132
      value: 0
1133
    }
1134
  }
1135
}
1136
layer {
1137
  name: "fc7_mbox_loc_perm"
1138
  type: "Permute"
1139
  bottom: "fc7_mbox_loc"
1140
  top: "fc7_mbox_loc_perm"
1141
  permute_param {
1142
    order: 0
1143
    order: 2
1144
    order: 3
1145
    order: 1
1146
  }
1147
}
1148
layer {
1149
  name: "fc7_mbox_loc_flat"
1150
  type: "Flatten"
1151
  bottom: "fc7_mbox_loc_perm"
1152
  top: "fc7_mbox_loc_flat"
1153
  flatten_param {
1154
    axis: 1
1155
  }
1156
}
1157
layer {
1158
  name: "fc7_mbox_conf"
1159
  type: "Convolution"
1160
  bottom: "fc7"
1161
  top: "fc7_mbox_conf"
1162
  param {
1163
    lr_mult: 1
1164
    decay_mult: 1
1165
  }
1166
  param {
1167
    lr_mult: 2
1168
    decay_mult: 0
1169
  }
1170
  convolution_param {
1171
    num_output: 12 # 126
1172
    pad: 1
1173
    kernel_size: 3
1174
    stride: 1
1175
    weight_filler {
1176
      type: "xavier"
1177
    }
1178
    bias_filler {
1179
      type: "constant"
1180
      value: 0
1181
    }
1182
  }
1183
}
1184
layer {
1185
  name: "fc7_mbox_conf_perm"
1186
  type: "Permute"
1187
  bottom: "fc7_mbox_conf"
1188
  top: "fc7_mbox_conf_perm"
1189
  permute_param {
1190
    order: 0
1191
    order: 2
1192
    order: 3
1193
    order: 1
1194
  }
1195
}
1196
layer {
1197
  name: "fc7_mbox_conf_flat"
1198
  type: "Flatten"
1199
  bottom: "fc7_mbox_conf_perm"
1200
  top: "fc7_mbox_conf_flat"
1201
  flatten_param {
1202
    axis: 1
1203
  }
1204
}
1205
layer {
1206
  name: "fc7_mbox_priorbox"
1207
  type: "PriorBox"
1208
  bottom: "fc7"
1209
  bottom: "data"
1210
  top: "fc7_mbox_priorbox"
1211
  prior_box_param {
1212
    min_size: 60.0
1213
    max_size: 111.0
1214
    aspect_ratio: 2
1215
    aspect_ratio: 3
1216
    flip: true
1217
    clip: false
1218
    variance: 0.1
1219
    variance: 0.1
1220
    variance: 0.2
1221
    variance: 0.2
1222
    step: 16
1223
    offset: 0.5
1224
  }
1225
}
1226
layer {
1227
  name: "conv6_2_mbox_loc"
1228
  type: "Convolution"
1229
  bottom: "conv6_2_h"
1230
  top: "conv6_2_mbox_loc"
1231
  param {
1232
    lr_mult: 1
1233
    decay_mult: 1
1234
  }
1235
  param {
1236
    lr_mult: 2
1237
    decay_mult: 0
1238
  }
1239
  convolution_param {
1240
    num_output: 24
1241
    pad: 1
1242
    kernel_size: 3
1243
    stride: 1
1244
    weight_filler {
1245
      type: "xavier"
1246
    }
1247
    bias_filler {
1248
      type: "constant"
1249
      value: 0
1250
    }
1251
  }
1252
}
1253
layer {
1254
  name: "conv6_2_mbox_loc_perm"
1255
  type: "Permute"
1256
  bottom: "conv6_2_mbox_loc"
1257
  top: "conv6_2_mbox_loc_perm"
1258
  permute_param {
1259
    order: 0
1260
    order: 2
1261
    order: 3
1262
    order: 1
1263
  }
1264
}
1265
layer {
1266
  name: "conv6_2_mbox_loc_flat"
1267
  type: "Flatten"
1268
  bottom: "conv6_2_mbox_loc_perm"
1269
  top: "conv6_2_mbox_loc_flat"
1270
  flatten_param {
1271
    axis: 1
1272
  }
1273
}
1274
layer {
1275
  name: "conv6_2_mbox_conf"
1276
  type: "Convolution"
1277
  bottom: "conv6_2_h"
1278
  top: "conv6_2_mbox_conf"
1279
  param {
1280
    lr_mult: 1
1281
    decay_mult: 1
1282
  }
1283
  param {
1284
    lr_mult: 2
1285
    decay_mult: 0
1286
  }
1287
  convolution_param {
1288
    num_output: 12 # 126
1289
    pad: 1
1290
    kernel_size: 3
1291
    stride: 1
1292
    weight_filler {
1293
      type: "xavier"
1294
    }
1295
    bias_filler {
1296
      type: "constant"
1297
      value: 0
1298
    }
1299
  }
1300
}
1301
layer {
1302
  name: "conv6_2_mbox_conf_perm"
1303
  type: "Permute"
1304
  bottom: "conv6_2_mbox_conf"
1305
  top: "conv6_2_mbox_conf_perm"
1306
  permute_param {
1307
    order: 0
1308
    order: 2
1309
    order: 3
1310
    order: 1
1311
  }
1312
}
1313
layer {
1314
  name: "conv6_2_mbox_conf_flat"
1315
  type: "Flatten"
1316
  bottom: "conv6_2_mbox_conf_perm"
1317
  top: "conv6_2_mbox_conf_flat"
1318
  flatten_param {
1319
    axis: 1
1320
  }
1321
}
1322
layer {
1323
  name: "conv6_2_mbox_priorbox"
1324
  type: "PriorBox"
1325
  bottom: "conv6_2_h"
1326
  bottom: "data"
1327
  top: "conv6_2_mbox_priorbox"
1328
  prior_box_param {
1329
    min_size: 111.0
1330
    max_size: 162.0
1331
    aspect_ratio: 2
1332
    aspect_ratio: 3
1333
    flip: true
1334
    clip: false
1335
    variance: 0.1
1336
    variance: 0.1
1337
    variance: 0.2
1338
    variance: 0.2
1339
    step: 32
1340
    offset: 0.5
1341
  }
1342
}
1343
layer {
1344
  name: "conv7_2_mbox_loc"
1345
  type: "Convolution"
1346
  bottom: "conv7_2_h"
1347
  top: "conv7_2_mbox_loc"
1348
  param {
1349
    lr_mult: 1
1350
    decay_mult: 1
1351
  }
1352
  param {
1353
    lr_mult: 2
1354
    decay_mult: 0
1355
  }
1356
  convolution_param {
1357
    num_output: 24
1358
    pad: 1
1359
    kernel_size: 3
1360
    stride: 1
1361
    weight_filler {
1362
      type: "xavier"
1363
    }
1364
    bias_filler {
1365
      type: "constant"
1366
      value: 0
1367
    }
1368
  }
1369
}
1370
layer {
1371
  name: "conv7_2_mbox_loc_perm"
1372
  type: "Permute"
1373
  bottom: "conv7_2_mbox_loc"
1374
  top: "conv7_2_mbox_loc_perm"
1375
  permute_param {
1376
    order: 0
1377
    order: 2
1378
    order: 3
1379
    order: 1
1380
  }
1381
}
1382
layer {
1383
  name: "conv7_2_mbox_loc_flat"
1384
  type: "Flatten"
1385
  bottom: "conv7_2_mbox_loc_perm"
1386
  top: "conv7_2_mbox_loc_flat"
1387
  flatten_param {
1388
    axis: 1
1389
  }
1390
}
1391
layer {
1392
  name: "conv7_2_mbox_conf"
1393
  type: "Convolution"
1394
  bottom: "conv7_2_h"
1395
  top: "conv7_2_mbox_conf"
1396
  param {
1397
    lr_mult: 1
1398
    decay_mult: 1
1399
  }
1400
  param {
1401
    lr_mult: 2
1402
    decay_mult: 0
1403
  }
1404
  convolution_param {
1405
    num_output: 12 # 126
1406
    pad: 1
1407
    kernel_size: 3
1408
    stride: 1
1409
    weight_filler {
1410
      type: "xavier"
1411
    }
1412
    bias_filler {
1413
      type: "constant"
1414
      value: 0
1415
    }
1416
  }
1417
}
1418
layer {
1419
  name: "conv7_2_mbox_conf_perm"
1420
  type: "Permute"
1421
  bottom: "conv7_2_mbox_conf"
1422
  top: "conv7_2_mbox_conf_perm"
1423
  permute_param {
1424
    order: 0
1425
    order: 2
1426
    order: 3
1427
    order: 1
1428
  }
1429
}
1430
layer {
1431
  name: "conv7_2_mbox_conf_flat"
1432
  type: "Flatten"
1433
  bottom: "conv7_2_mbox_conf_perm"
1434
  top: "conv7_2_mbox_conf_flat"
1435
  flatten_param {
1436
    axis: 1
1437
  }
1438
}
1439
layer {
1440
  name: "conv7_2_mbox_priorbox"
1441
  type: "PriorBox"
1442
  bottom: "conv7_2_h"
1443
  bottom: "data"
1444
  top: "conv7_2_mbox_priorbox"
1445
  prior_box_param {
1446
    min_size: 162.0
1447
    max_size: 213.0
1448
    aspect_ratio: 2
1449
    aspect_ratio: 3
1450
    flip: true
1451
    clip: false
1452
    variance: 0.1
1453
    variance: 0.1
1454
    variance: 0.2
1455
    variance: 0.2
1456
    step: 64
1457
    offset: 0.5
1458
  }
1459
}
1460
layer {
1461
  name: "conv8_2_mbox_loc"
1462
  type: "Convolution"
1463
  bottom: "conv8_2_h"
1464
  top: "conv8_2_mbox_loc"
1465
  param {
1466
    lr_mult: 1
1467
    decay_mult: 1
1468
  }
1469
  param {
1470
    lr_mult: 2
1471
    decay_mult: 0
1472
  }
1473
  convolution_param {
1474
    num_output: 16
1475
    pad: 1
1476
    kernel_size: 3
1477
    stride: 1
1478
    weight_filler {
1479
      type: "xavier"
1480
    }
1481
    bias_filler {
1482
      type: "constant"
1483
      value: 0
1484
    }
1485
  }
1486
}
1487
layer {
1488
  name: "conv8_2_mbox_loc_perm"
1489
  type: "Permute"
1490
  bottom: "conv8_2_mbox_loc"
1491
  top: "conv8_2_mbox_loc_perm"
1492
  permute_param {
1493
    order: 0
1494
    order: 2
1495
    order: 3
1496
    order: 1
1497
  }
1498
}
1499
layer {
1500
  name: "conv8_2_mbox_loc_flat"
1501
  type: "Flatten"
1502
  bottom: "conv8_2_mbox_loc_perm"
1503
  top: "conv8_2_mbox_loc_flat"
1504
  flatten_param {
1505
    axis: 1
1506
  }
1507
}
1508
layer {
1509
  name: "conv8_2_mbox_conf"
1510
  type: "Convolution"
1511
  bottom: "conv8_2_h"
1512
  top: "conv8_2_mbox_conf"
1513
  param {
1514
    lr_mult: 1
1515
    decay_mult: 1
1516
  }
1517
  param {
1518
    lr_mult: 2
1519
    decay_mult: 0
1520
  }
1521
  convolution_param {
1522
    num_output: 8 # 84
1523
    pad: 1
1524
    kernel_size: 3
1525
    stride: 1
1526
    weight_filler {
1527
      type: "xavier"
1528
    }
1529
    bias_filler {
1530
      type: "constant"
1531
      value: 0
1532
    }
1533
  }
1534
}
1535
layer {
1536
  name: "conv8_2_mbox_conf_perm"
1537
  type: "Permute"
1538
  bottom: "conv8_2_mbox_conf"
1539
  top: "conv8_2_mbox_conf_perm"
1540
  permute_param {
1541
    order: 0
1542
    order: 2
1543
    order: 3
1544
    order: 1
1545
  }
1546
}
1547
layer {
1548
  name: "conv8_2_mbox_conf_flat"
1549
  type: "Flatten"
1550
  bottom: "conv8_2_mbox_conf_perm"
1551
  top: "conv8_2_mbox_conf_flat"
1552
  flatten_param {
1553
    axis: 1
1554
  }
1555
}
1556
layer {
1557
  name: "conv8_2_mbox_priorbox"
1558
  type: "PriorBox"
1559
  bottom: "conv8_2_h"
1560
  bottom: "data"
1561
  top: "conv8_2_mbox_priorbox"
1562
  prior_box_param {
1563
    min_size: 213.0
1564
    max_size: 264.0
1565
    aspect_ratio: 2
1566
    flip: true
1567
    clip: false
1568
    variance: 0.1
1569
    variance: 0.1
1570
    variance: 0.2
1571
    variance: 0.2
1572
    step: 100
1573
    offset: 0.5
1574
  }
1575
}
1576
layer {
1577
  name: "conv9_2_mbox_loc"
1578
  type: "Convolution"
1579
  bottom: "conv9_2_h"
1580
  top: "conv9_2_mbox_loc"
1581
  param {
1582
    lr_mult: 1
1583
    decay_mult: 1
1584
  }
1585
  param {
1586
    lr_mult: 2
1587
    decay_mult: 0
1588
  }
1589
  convolution_param {
1590
    num_output: 16
1591
    pad: 1
1592
    kernel_size: 3
1593
    stride: 1
1594
    weight_filler {
1595
      type: "xavier"
1596
    }
1597
    bias_filler {
1598
      type: "constant"
1599
      value: 0
1600
    }
1601
  }
1602
}
1603
layer {
1604
  name: "conv9_2_mbox_loc_perm"
1605
  type: "Permute"
1606
  bottom: "conv9_2_mbox_loc"
1607
  top: "conv9_2_mbox_loc_perm"
1608
  permute_param {
1609
    order: 0
1610
    order: 2
1611
    order: 3
1612
    order: 1
1613
  }
1614
}
1615
layer {
1616
  name: "conv9_2_mbox_loc_flat"
1617
  type: "Flatten"
1618
  bottom: "conv9_2_mbox_loc_perm"
1619
  top: "conv9_2_mbox_loc_flat"
1620
  flatten_param {
1621
    axis: 1
1622
  }
1623
}
1624
layer {
1625
  name: "conv9_2_mbox_conf"
1626
  type: "Convolution"
1627
  bottom: "conv9_2_h"
1628
  top: "conv9_2_mbox_conf"
1629
  param {
1630
    lr_mult: 1
1631
    decay_mult: 1
1632
  }
1633
  param {
1634
    lr_mult: 2
1635
    decay_mult: 0
1636
  }
1637
  convolution_param {
1638
    num_output: 8 # 84
1639
    pad: 1
1640
    kernel_size: 3
1641
    stride: 1
1642
    weight_filler {
1643
      type: "xavier"
1644
    }
1645
    bias_filler {
1646
      type: "constant"
1647
      value: 0
1648
    }
1649
  }
1650
}
1651
layer {
1652
  name: "conv9_2_mbox_conf_perm"
1653
  type: "Permute"
1654
  bottom: "conv9_2_mbox_conf"
1655
  top: "conv9_2_mbox_conf_perm"
1656
  permute_param {
1657
    order: 0
1658
    order: 2
1659
    order: 3
1660
    order: 1
1661
  }
1662
}
1663
layer {
1664
  name: "conv9_2_mbox_conf_flat"
1665
  type: "Flatten"
1666
  bottom: "conv9_2_mbox_conf_perm"
1667
  top: "conv9_2_mbox_conf_flat"
1668
  flatten_param {
1669
    axis: 1
1670
  }
1671
}
1672
layer {
1673
  name: "conv9_2_mbox_priorbox"
1674
  type: "PriorBox"
1675
  bottom: "conv9_2_h"
1676
  bottom: "data"
1677
  top: "conv9_2_mbox_priorbox"
1678
  prior_box_param {
1679
    min_size: 264.0
1680
    max_size: 315.0
1681
    aspect_ratio: 2
1682
    flip: true
1683
    clip: false
1684
    variance: 0.1
1685
    variance: 0.1
1686
    variance: 0.2
1687
    variance: 0.2
1688
    step: 300
1689
    offset: 0.5
1690
  }
1691
}
1692
layer {
1693
  name: "mbox_loc"
1694
  type: "Concat"
1695
  bottom: "conv4_3_norm_mbox_loc_flat"
1696
  bottom: "fc7_mbox_loc_flat"
1697
  bottom: "conv6_2_mbox_loc_flat"
1698
  bottom: "conv7_2_mbox_loc_flat"
1699
  bottom: "conv8_2_mbox_loc_flat"
1700
  bottom: "conv9_2_mbox_loc_flat"
1701
  top: "mbox_loc"
1702
  concat_param {
1703
    axis: 1
1704
  }
1705
}
1706
layer {
1707
  name: "mbox_conf"
1708
  type: "Concat"
1709
  bottom: "conv4_3_norm_mbox_conf_flat"
1710
  bottom: "fc7_mbox_conf_flat"
1711
  bottom: "conv6_2_mbox_conf_flat"
1712
  bottom: "conv7_2_mbox_conf_flat"
1713
  bottom: "conv8_2_mbox_conf_flat"
1714
  bottom: "conv9_2_mbox_conf_flat"
1715
  top: "mbox_conf"
1716
  concat_param {
1717
    axis: 1
1718
  }
1719
}
1720
layer {
1721
  name: "mbox_priorbox"
1722
  type: "Concat"
1723
  bottom: "conv4_3_norm_mbox_priorbox"
1724
  bottom: "fc7_mbox_priorbox"
1725
  bottom: "conv6_2_mbox_priorbox"
1726
  bottom: "conv7_2_mbox_priorbox"
1727
  bottom: "conv8_2_mbox_priorbox"
1728
  bottom: "conv9_2_mbox_priorbox"
1729
  top: "mbox_priorbox"
1730
  concat_param {
1731
    axis: 2
1732
  }
1733
}
1734

1735
layer {
1736
  name: "mbox_conf_reshape"
1737
  type: "Reshape"
1738
  bottom: "mbox_conf"
1739
  top: "mbox_conf_reshape"
1740
  reshape_param {
1741
    shape {
1742
      dim: 0
1743
      dim: -1
1744
      dim: 2
1745
    }
1746
  }
1747
}
1748
layer {
1749
  name: "mbox_conf_softmax"
1750
  type: "Softmax"
1751
  bottom: "mbox_conf_reshape"
1752
  top: "mbox_conf_softmax"
1753
  softmax_param {
1754
    axis: 2
1755
  }
1756
}
1757
layer {
1758
  name: "mbox_conf_flatten"
1759
  type: "Flatten"
1760
  bottom: "mbox_conf_softmax"
1761
  top: "mbox_conf_flatten"
1762
  flatten_param {
1763
    axis: 1
1764
  }
1765
}
1766

1767
layer {
1768
  name: "detection_out"
1769
  type: "DetectionOutput"
1770
  bottom: "mbox_loc"
1771
  bottom: "mbox_conf_flatten"
1772
  bottom: "mbox_priorbox"
1773
  top: "detection_out"
1774
  include {
1775
    phase: TEST
1776
  }
1777
  detection_output_param {
1778
    num_classes: 2
1779
    share_location: true
1780
    background_label_id: 0
1781
    nms_param {
1782
      nms_threshold: 0.45
1783
      top_k: 400
1784
    }
1785
    code_type: CENTER_SIZE
1786
    keep_top_k: 200
1787
    confidence_threshold: 0.01
1788
  }
1789
}
1790

1791