3
Input data 0 1 data -23330=4,3,352,352,3 0=352 1=352 2=3
4
Convolution conv1 1 1 data conv1_relu1 -23330=4,3,176,176,32 0=32 1=3 3=2 4=1 5=1 6=864 9=1
5
ConvolutionDepthWise conv2 1 1 conv1_relu1 conv2_relu2 -23330=4,3,176,176,32 0=32 1=3 4=1 5=1 6=288 7=32 9=1
6
Convolution conv3 1 1 conv2_relu2 conv3 -23330=4,3,176,176,16 0=16 1=1 5=1 6=512
7
Convolution conv4 1 1 conv3 conv4_relu3 -23330=4,3,176,176,96 0=96 1=1 5=1 6=1536 9=1
8
ConvolutionDepthWise conv5 1 1 conv4_relu3 conv5_relu4 -23330=4,3,88,88,96 0=96 1=3 3=2 4=1 5=1 6=864 7=96 9=1
9
Convolution conv6 1 1 conv5_relu4 conv6 -23330=4,3,88,88,24 0=24 1=1 5=1 6=2304
10
Split splitncnn_0 1 2 conv6 conv6_splitncnn_0 conv6_splitncnn_1 -23330=8,3,88,88,24,3,88,88,24
11
Convolution conv7 1 1 conv6_splitncnn_1 conv7_relu5 -23330=4,3,88,88,144 0=144 1=1 5=1 6=3456 9=1
12
ConvolutionDepthWise conv8 1 1 conv7_relu5 conv8_relu6 -23330=4,3,88,88,144 0=144 1=3 4=1 5=1 6=1296 7=144 9=1
13
Convolution conv9 1 1 conv8_relu6 conv9 -23330=4,3,88,88,24 0=24 1=1 5=1 6=3456
14
Eltwise add1 2 1 conv6_splitncnn_0 conv9 add1 -23330=4,3,88,88,24 0=1
15
Convolution conv10 1 1 add1 conv10_relu7 -23330=4,3,88,88,144 0=144 1=1 5=1 6=3456 9=1
16
ConvolutionDepthWise conv11 1 1 conv10_relu7 conv11_relu8 -23330=4,3,44,44,144 0=144 1=3 3=2 4=1 5=1 6=1296 7=144 9=1
17
Convolution conv12 1 1 conv11_relu8 conv12 -23330=4,3,44,44,32 0=32 1=1 5=1 6=4608
18
Split splitncnn_1 1 2 conv12 conv12_splitncnn_0 conv12_splitncnn_1 -23330=8,3,44,44,32,3,44,44,32
19
Convolution conv13 1 1 conv12_splitncnn_1 conv13_relu9 -23330=4,3,44,44,192 0=192 1=1 5=1 6=6144 9=1
20
ConvolutionDepthWise conv14 1 1 conv13_relu9 conv14_relu10 -23330=4,3,44,44,192 0=192 1=3 4=1 5=1 6=1728 7=192 9=1
21
Convolution conv15 1 1 conv14_relu10 conv15 -23330=4,3,44,44,32 0=32 1=1 5=1 6=6144
22
Eltwise add2 2 1 conv12_splitncnn_0 conv15 add2 -23330=4,3,44,44,32 0=1
23
Split splitncnn_2 1 2 add2 add2_splitncnn_0 add2_splitncnn_1 -23330=8,3,44,44,32,3,44,44,32
24
Convolution conv16 1 1 add2_splitncnn_1 conv16_relu11 -23330=4,3,44,44,192 0=192 1=1 5=1 6=6144 9=1
25
ConvolutionDepthWise conv17 1 1 conv16_relu11 conv17_relu12 -23330=4,3,44,44,192 0=192 1=3 4=1 5=1 6=1728 7=192 9=1
26
Convolution conv18 1 1 conv17_relu12 conv18 -23330=4,3,44,44,32 0=32 1=1 5=1 6=6144
27
Eltwise add3 2 1 add2_splitncnn_0 conv18 add3 -23330=4,3,44,44,32 0=1
28
Convolution conv19 1 1 add3 conv19_relu13 -23330=4,3,44,44,192 0=192 1=1 5=1 6=6144 9=1
29
ConvolutionDepthWise conv20 1 1 conv19_relu13 conv20_relu14 -23330=4,3,22,22,192 0=192 1=3 3=2 4=1 5=1 6=1728 7=192 9=1
30
Convolution conv21 1 1 conv20_relu14 conv21 -23330=4,3,22,22,64 0=64 1=1 5=1 6=12288
31
Split splitncnn_3 1 2 conv21 conv21_splitncnn_0 conv21_splitncnn_1 -23330=8,3,22,22,64,3,22,22,64
32
Convolution conv22 1 1 conv21_splitncnn_1 conv22_relu15 -23330=4,3,22,22,384 0=384 1=1 5=1 6=24576 9=1
33
ConvolutionDepthWise conv23 1 1 conv22_relu15 conv23_relu16 -23330=4,3,22,22,384 0=384 1=3 4=1 5=1 6=3456 7=384 9=1
34
Convolution conv24 1 1 conv23_relu16 conv24 -23330=4,3,22,22,64 0=64 1=1 5=1 6=24576
35
Eltwise add4 2 1 conv21_splitncnn_0 conv24 add4 -23330=4,3,22,22,64 0=1
36
Split splitncnn_4 1 2 add4 add4_splitncnn_0 add4_splitncnn_1 -23330=8,3,22,22,64,3,22,22,64
37
Convolution conv25 1 1 add4_splitncnn_1 conv25_relu17 -23330=4,3,22,22,384 0=384 1=1 5=1 6=24576 9=1
38
ConvolutionDepthWise conv26 1 1 conv25_relu17 conv26_relu18 -23330=4,3,22,22,384 0=384 1=3 4=1 5=1 6=3456 7=384 9=1
39
Convolution conv27 1 1 conv26_relu18 conv27 -23330=4,3,22,22,64 0=64 1=1 5=1 6=24576
40
Eltwise add5 2 1 add4_splitncnn_0 conv27 add5 -23330=4,3,22,22,64 0=1
41
Split splitncnn_5 1 2 add5 add5_splitncnn_0 add5_splitncnn_1 -23330=8,3,22,22,64,3,22,22,64
42
Convolution conv28 1 1 add5_splitncnn_1 conv28_relu19 -23330=4,3,22,22,384 0=384 1=1 5=1 6=24576 9=1
43
ConvolutionDepthWise conv29 1 1 conv28_relu19 conv29_relu20 -23330=4,3,22,22,384 0=384 1=3 4=1 5=1 6=3456 7=384 9=1
44
Convolution conv30 1 1 conv29_relu20 conv30 -23330=4,3,22,22,64 0=64 1=1 5=1 6=24576
45
Eltwise add6 2 1 add5_splitncnn_0 conv30 add6 -23330=4,3,22,22,64 0=1
46
Convolution conv31 1 1 add6 conv31_relu21 -23330=4,3,22,22,384 0=384 1=1 5=1 6=24576 9=1
47
ConvolutionDepthWise conv32 1 1 conv31_relu21 conv32_relu22 -23330=4,3,22,22,384 0=384 1=3 4=1 5=1 6=3456 7=384 9=1
48
Convolution conv33 1 1 conv32_relu22 conv33 -23330=4,3,22,22,96 0=96 1=1 5=1 6=36864
49
Split splitncnn_6 1 2 conv33 conv33_splitncnn_0 conv33_splitncnn_1 -23330=8,3,22,22,96,3,22,22,96
50
Convolution conv34 1 1 conv33_splitncnn_1 conv34_relu23 -23330=4,3,22,22,576 0=576 1=1 5=1 6=55296 9=1
51
ConvolutionDepthWise conv35 1 1 conv34_relu23 conv35_relu24 -23330=4,3,22,22,576 0=576 1=3 4=1 5=1 6=5184 7=576 9=1
52
Convolution conv36 1 1 conv35_relu24 conv36 -23330=4,3,22,22,96 0=96 1=1 5=1 6=55296
53
Eltwise add7 2 1 conv33_splitncnn_0 conv36 add7 -23330=4,3,22,22,96 0=1
54
Split splitncnn_7 1 2 add7 add7_splitncnn_0 add7_splitncnn_1 -23330=8,3,22,22,96,3,22,22,96
55
Convolution conv37 1 1 add7_splitncnn_1 conv37_relu25 -23330=4,3,22,22,576 0=576 1=1 5=1 6=55296 9=1
56
ConvolutionDepthWise conv38 1 1 conv37_relu25 conv38_relu26 -23330=4,3,22,22,576 0=576 1=3 4=1 5=1 6=5184 7=576 9=1
57
Convolution conv39 1 1 conv38_relu26 conv39 -23330=4,3,22,22,96 0=96 1=1 5=1 6=55296
58
Eltwise add8 2 1 add7_splitncnn_0 conv39 add8 -23330=4,3,22,22,96 0=1
59
Convolution conv40 1 1 add8 conv40_relu27 -23330=4,3,22,22,576 0=576 1=1 5=1 6=55296 9=1
60
Split splitncnn_8 1 2 conv40_relu27 conv40_relu27_splitncnn_0 conv40_relu27_splitncnn_1 -23330=8,3,22,22,576,3,22,22,576
61
ConvolutionDepthWise conv41 1 1 conv40_relu27_splitncnn_1 conv41_relu28 -23330=4,3,11,11,576 0=576 1=3 3=2 4=1 5=1 6=5184 7=576 9=1
62
Convolution conv42 1 1 conv41_relu28 conv42 -23330=4,3,11,11,160 0=160 1=1 5=1 6=92160
63
Split splitncnn_9 1 2 conv42 conv42_splitncnn_0 conv42_splitncnn_1 -23330=8,3,11,11,160,3,11,11,160
64
Convolution conv43 1 1 conv42_splitncnn_1 conv43_relu29 -23330=4,3,11,11,960 0=960 1=1 5=1 6=153600 9=1
65
ConvolutionDepthWise conv44 1 1 conv43_relu29 conv44_relu30 -23330=4,3,11,11,960 0=960 1=3 4=1 5=1 6=8640 7=960 9=1
66
Convolution conv45 1 1 conv44_relu30 conv45 -23330=4,3,11,11,160 0=160 1=1 5=1 6=153600
67
Eltwise add9 2 1 conv42_splitncnn_0 conv45 add9 -23330=4,3,11,11,160 0=1
68
Split splitncnn_10 1 2 add9 add9_splitncnn_0 add9_splitncnn_1 -23330=8,3,11,11,160,3,11,11,160
69
Convolution conv46 1 1 add9_splitncnn_1 conv46_relu31 -23330=4,3,11,11,960 0=960 1=1 5=1 6=153600 9=1
70
ConvolutionDepthWise conv47 1 1 conv46_relu31 conv47_relu32 -23330=4,3,11,11,960 0=960 1=3 4=1 5=1 6=8640 7=960 9=1
71
Convolution conv48 1 1 conv47_relu32 conv48 -23330=4,3,11,11,160 0=160 1=1 5=1 6=153600
72
Eltwise add10 2 1 add9_splitncnn_0 conv48 add10 -23330=4,3,11,11,160 0=1
73
Convolution conv49 1 1 add10 conv49_relu33 -23330=4,3,11,11,960 0=960 1=1 5=1 6=153600 9=1
74
ConvolutionDepthWise conv50 1 1 conv49_relu33 conv50_relu34 -23330=4,3,11,11,960 0=960 1=3 4=1 5=1 6=8640 7=960 9=1
75
Convolution conv51 1 1 conv50_relu34 conv51 -23330=4,3,11,11,320 0=320 1=1 5=1 6=307200
76
Convolution conv52 1 1 conv51 conv52_relu35 -23330=4,3,11,11,1280 0=1280 1=1 5=1 6=409600 9=1
77
ConvolutionDepthWise yolo/conv1/dw 1 1 conv52_relu35 yolo/conv1/dw_yolo/conv1/dw/relu -23330=4,3,11,11,1280 0=1280 1=3 4=1 5=1 6=11520 7=1280 9=1
78
Convolution yolo/conv1 1 1 yolo/conv1/dw_yolo/conv1/dw/relu yolo/conv1_yolo/conv1/relu -23330=4,3,11,11,576 0=576 1=1 5=1 6=737280 9=1
79
Split splitncnn_11 1 2 yolo/conv1_yolo/conv1/relu yolo/conv1_yolo/conv1/relu_splitncnn_0 yolo/conv1_yolo/conv1/relu_splitncnn_1 -23330=8,3,11,11,576,3,11,11,576
80
DeconvolutionDepthWise upsample 1 1 yolo/conv1_yolo/conv1/relu_splitncnn_1 upsample -23330=4,3,21,21,576 0=576 1=1 3=2 6=576 7=576
81
Pooling maxpool 1 1 upsample maxpool -23330=4,3,22,22,576 1=2 3=1
82
ConvolutionDepthWise yolo/conv2/dw 1 1 conv40_relu27_splitncnn_0 yolo/conv2/dw_yolo/conv2/dw/relu -23330=4,3,22,22,576 0=576 1=3 4=1 5=1 6=5184 7=576 9=1
83
Convolution yolo/conv2 1 1 yolo/conv2/dw_yolo/conv2/dw/relu yolo/conv2_yolo/conv2/relu -23330=4,3,22,22,576 0=576 1=1 5=1 6=331776 9=1
84
Eltwise yolo/conv2/sum 2 1 maxpool yolo/conv2_yolo/conv2/relu yolo/conv2/sum -23330=4,3,22,22,576 0=1
85
ConvolutionDepthWise yolo/conv3/dw 1 1 yolo/conv2/sum yolo/conv3/dw_yolo/conv3/dw/relu -23330=4,3,22,22,576 0=576 1=3 4=1 5=1 6=5184 7=576 9=1
86
Convolution yolo/conv3 1 1 yolo/conv3/dw_yolo/conv3/dw/relu yolo/conv3_yolo/conv3/relu -23330=4,3,22,22,576 0=576 1=1 5=1 6=331776 9=1
87
Convolution yolo/conv4 1 1 yolo/conv1_yolo/conv1/relu_splitncnn_0 yolo/conv4 -23330=4,3,11,11,75 0=75 1=1 5=1 6=43200
88
Convolution yolo/conv5 1 1 yolo/conv3_yolo/conv3/relu yolo/conv5 -23330=4,3,22,22,75 0=75 1=1 5=1 6=43200
89
Yolov3DetectionOutput detection_out 2 1 yolo/conv4 yolo/conv5 output 1=3 2=3.000000e-01 -23304=12,2.000000e+01,3.700000e+01,4.900000e+01,9.400000e+01,7.300000e+01,2.010000e+02,1.430000e+02,2.650000e+02,1.530000e+02,1.210000e+02,2.800000e+02,2.790000e+02 -23305=6,1077936128,1082130432,1084227584,0,1065353216,1073741824 -23306=2,3.200000e+01,1.600000e+01