怎么手动为.param添加priorbox等层参数

Question

怎么手动为.param添加priorbox等层参数

paul5634 opened this issue 4 years ago · comments

你好，我这边自己训练了一个模型，只有1个类（总共2个，1个是backgroud）。然后按照你的readme先将模型转成onnx模型，再转成ncnn模型得到.bin和.param 文件。之后就比较疑惑了，param里面的参数应该怎么加？有什么规则？我是直接把你提供的模型param复制到我的param里面，但是运行会报错：“parse layer_type failed”"load_model error at layer 312, parameter file has inconsistent content"

mb3-ssdlite.txt

7767517
408 470
Input input MemoryData 582 MemoryData 586 MemoryData 627 MemoryData 630 MemoryData 646 MemoryData 649 MemoryData 666 MemoryData 669 MemoryData 675 MemoryData 679 MemoryData 683 MemoryData 687 MemoryData 693 MemoryData 697 MemoryData 701 MemoryData 705 MemoryData 712 MemoryData 716 MemoryData 720 MemoryData 724 MemoryData 731 MemoryData 735 MemoryData 739 MemoryData 743 MemoryData 750 MemoryData 754 MemoryData 758 MemoryData 762 MemoryData 771 MemoryData 774 MemoryData 782 MemoryData 786 MemoryData 790 MemoryData 794 MemoryData 803 MemoryData 806 MemoryData 812 MemoryData 816 MemoryData 820 MemoryData 824 MemoryData 833 MemoryData 836 MemoryData 844 MemoryData 848 MemoryData 852 MemoryData 856 MemoryData 865 MemoryData 868 MemoryData 873 MemoryData 877 MemoryData 881 MemoryData 885 MemoryData 894 MemoryData 897 MemoryData 903 MemoryData 907 Split Convolution 580 HardSwish 587 Split Convolution 588 ReLU 590 ConvolutionDepthWise 591 ReLU 593 Convolution 594 BinaryOp 596 Convolution 597 ReLU 599 ConvolutionDepthWise 600 ReLU 602 Convolution 603 Split Convolution 605 ReLU 607 ConvolutionDepthWise 608 ReLU 610 Convolution 611 BinaryOp 613 Convolution 614 ReLU 616 ConvolutionDepthWise 617 ReLU 619 Convolution 620 Split Convolution 622 ReLU 624 Convolution 625 HardSigmoid 631 BinaryOp 632 Split Convolution 633 ReLU 635 ConvolutionDepthWise 636 ReLU 638 Convolution 639 Split Convolution 641 ReLU 643 Convolution 644 HardSigmoid 650 BinaryOp 651 BinaryOp 652 Split Convolution 653 ReLU 655 ConvolutionDepthWise 656 ReLU 658 Convolution 659 Split Convolution 661 ReLU 663 Convolution 664 HardSigmoid 670 BinaryOp 671 BinaryOp 672 Convolution 673 HardSwish 680 ConvolutionDepthWise 681 HardSwish 688 Convolution 689 Split Convolution 691 HardSwish 698 ConvolutionDepthWise 699 HardSwish 706 Convolution 707 BinaryOp 709 Split Convolution 710 HardSwish 717 ConvolutionDepthWise 718 HardSwish 725 Convolution 726 BinaryOp 728 Split Convolution 729 HardSwish 736 ConvolutionDepthWise 737 HardSwish 744 Convolution 745 BinaryOp 747 Split Convolution 748 HardSwish 755 ConvolutionDepthWise 756 HardSwish 763 Convolution 764 Split Convolution 766 ReLU 768 Convolution 769 HardSigmoid 775 BinaryOp 776 Convolution 777 BinaryOp 779 Split Convolution 780 HardSwish 787 ConvolutionDepthWise 788 HardSwish 795 Convolution 796 Split Convolution 798 ReLU 800 Convolution 801 HardSigmoid 807 BinaryOp 808 BinaryOp 809 Split Convolution 810 HardSwish 817 ConvolutionDepthWise 818 HardSwish 825 Convolution 826 Split Convolution 828 ReLU 830 Convolution 831 HardSigmoid 837 BinaryOp 838 Convolution 839 BinaryOp 841 Convolution 842 HardSwish 849 Split ConvolutionDepthWise 850 HardSwish 857 Convolution 858 Split Convolution 860 ReLU 862 Convolution 863 HardSigmoid 869 BinaryOp 870 Split Convolution 871 HardSwish 878 ConvolutionDepthWise 879 HardSwish 886 Convolution 887 Split Convolution 889 ReLU 891 Convolution 892 HardSigmoid 898 BinaryOp 899 BinaryOp 900 Convolution 901 HardSwish 908 Split Convolution 909 Clip 911 ConvolutionDepthWise 912 Clip 914 Convolution 915 Clip 917 Split Convolution 918 Clip 920 ConvolutionDepthWise 921 Clip 923 Convolution 924 Clip 926 Split Convolution 927 Clip 929 ConvolutionDepthWise 930 Clip 932 Convolution 933 Clip 935 Split Convolution 936 Clip 938 ConvolutionDepthWise 939 Clip 941 Convolution 942 Clip 944 Split ConvolutionDepthWise 945 Clip 947 Convolution output Permute Flatten ConvolutionDepthWise 949 Clip 951 Convolution 952 Permute Flatten PriorBox ConvolutionDepthWise 953 Clip 955 Convolution 956 Permute Flatten ConvolutionDepthWise 957 Clip 959 Convolution 960 Permute Flatten PriorBox ConvolutionDepthWise 961 Clip 963 Convolution 964 Permute Flatten ConvolutionDepthWise 965 Clip 967 Convolution 968 Permute Flatten PriorBox ConvolutionDepthWise 969 Clip 971 Convolution 972 Permute Flatten ConvolutionDepthWise 973 Clip 975 Convolution 976 Permute Flatten PriorBox ConvolutionDepthWise 977 Clip 979 Convolution 980 Permute Flatten ConvolutionDepthWise 981 Clip 983 Convolution 984 Permute Flatten PriorBox ConvolutionDepthWise 985 Clip 987 Convolution 988 Permute Flatten ConvolutionDepthWise 989 Clip 991 Convolution 992 Permute Flatten PriorBox Concat Concat Concat Reshape Softmax Flatten DetectionOutput 0 1 input
0 1 582 0=1
0 1 586 0=1
0 1 627 0=1
0 1 630 0=1
0 1 646 0=1
0 1 649 0=1
0 1 666 0=1
0 1 669 0=1
0 1 675 0=1
0 1 679 0=1
0 1 683 0=1
0 1 687 0=1
0 1 693 0=1
0 1 697 0=1
0 1 701 0=1
0 1 705 0=1
0 1 712 0=1
0 1 716 0=1
0 1 720 0=1
0 1 724 0=1
0 1 731 0=1
0 1 735 0=1
0 1 739 0=1
0 1 743 0=1
0 1 750 0=1
0 1 754 0=1
0 1 758 0=1
0 1 762 0=1
0 1 771 0=1
0 1 774 0=1
0 1 782 0=1
0 1 786 0=1
0 1 790 0=1
0 1 794 0=1
0 1 803 0=1
0 1 806 0=1
0 1 812 0=1
0 1 816 0=1
0 1 820 0=1
0 1 824 0=1
0 1 833 0=1
0 1 836 0=1
0 1 844 0=1
0 1 848 0=1
0 1 852 0=1
0 1 856 0=1
0 1 865 0=1
0 1 868 0=1
0 1 873 0=1
0 1 877 0=1
0 1 881 0=1
0 1 885 0=1
0 1 894 0=1
0 1 897 0=1
0 1 903 0=1
0 1 907 0=1
splitncnn_data 1 7 input data_splitncnn_0 data_splitncnn_1 data_splitncnn_2 data_splitncnn_3 data_splitncnn_4 data_splitncnn_5 data_splitncnn_6
1 1 data_splitncnn_6 580 0=16 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=432
1 1 580 587 0=1.666667e-01 1=5.000000e-01
splitncnn_0 1 2 587 587_splitncnn_0 587_splitncnn_1
1 1 587_splitncnn_1 588 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=256
1 1 588 590
1 1 590 591 0=16 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=144 7=16
1 1 591 593
1 1 593 594 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=256
2 1 594 587_splitncnn_0 596 0=0
1 1 596 597 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024
1 1 597 599
1 1 599 600 0=64 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=576 7=64
1 1 600 602
1 1 602 603 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1536
splitncnn_1 1 2 603 603_splitncnn_0 603_splitncnn_1
1 1 603_splitncnn_1 605 0=72 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1728
1 1 605 607
1 1 607 608 0=72 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=648 7=72
1 1 608 610
1 1 610 611 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1728
2 1 611 603_splitncnn_0 613 0=0
1 1 613 614 0=72 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1728
1 1 614 616
1 1 616 617 0=72 1=5 11=5 2=1 12=1 3=2 13=2 4=2 14=2 15=2 16=2 5=1 6=1800 7=72
1 1 617 619
1 1 619 620 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2880
splitncnn_2 1 2 620 620_splitncnn_0 620_splitncnn_1
1 1 620_splitncnn_1 622 0=10 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
1 1 622 624
1 1 624 625 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
1 1 625 631 0=1.666667e-01 1=5.000000e-01
2 1 620_splitncnn_0 631 632 0=2
splitncnn_3 1 2 632 632_splitncnn_0 632_splitncnn_1
1 1 632_splitncnn_1 633 0=120 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
1 1 633 635
1 1 635 636 0=120 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=3000 7=120
1 1 636 638
1 1 638 639 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
splitncnn_4 1 2 639 639_splitncnn_0 639_splitncnn_1
1 1 639_splitncnn_1 641 0=10 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
1 1 641 643
1 1 643 644 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
1 1 644 650 0=1.666667e-01 1=5.000000e-01
2 1 639_splitncnn_0 650 651 0=2
2 1 651 632_splitncnn_0 652 0=0
splitncnn_5 1 2 652 652_splitncnn_0 652_splitncnn_1
1 1 652_splitncnn_1 653 0=120 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
1 1 653 655
1 1 655 656 0=120 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=3000 7=120
1 1 656 658
1 1 658 659 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
splitncnn_6 1 2 659 659_splitncnn_0 659_splitncnn_1
1 1 659_splitncnn_1 661 0=10 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
1 1 661 663
1 1 663 664 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
1 1 664 670 0=1.666667e-01 1=5.000000e-01
2 1 659_splitncnn_0 670 671 0=2
2 1 671 652_splitncnn_0 672 0=0
1 1 672 673 0=240 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=9600
1 1 673 680 0=1.666667e-01 1=5.000000e-01
1 1 680 681 0=240 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=2160 7=240
1 1 681 688 0=1.666667e-01 1=5.000000e-01
1 1 688 689 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=19200
splitncnn_7 1 2 689 689_splitncnn_0 689_splitncnn_1
1 1 689_splitncnn_1 691 0=200 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16000
1 1 691 698 0=1.666667e-01 1=5.000000e-01
1 1 698 699 0=200 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1800 7=200
1 1 699 706 0=1.666667e-01 1=5.000000e-01
1 1 706 707 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16000
2 1 707 689_splitncnn_0 709 0=0
splitncnn_8 1 2 709 709_splitncnn_0 709_splitncnn_1
1 1 709_splitncnn_1 710 0=184 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
1 1 710 717 0=1.666667e-01 1=5.000000e-01
1 1 717 718 0=184 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1656 7=184
1 1 718 725 0=1.666667e-01 1=5.000000e-01
1 1 725 726 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
2 1 726 709_splitncnn_0 728 0=0
splitncnn_9 1 2 728 728_splitncnn_0 728_splitncnn_1
1 1 728_splitncnn_1 729 0=184 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
1 1 729 736 0=1.666667e-01 1=5.000000e-01
1 1 736 737 0=184 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1656 7=184
1 1 737 744 0=1.666667e-01 1=5.000000e-01
1 1 744 745 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
2 1 745 728_splitncnn_0 747 0=0
splitncnn_10 1 2 747 747_splitncnn_0 747_splitncnn_1
1 1 747_splitncnn_1 748 0=480 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=38400
1 1 748 755 0=1.666667e-01 1=5.000000e-01
1 1 755 756 0=480 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4320 7=480
1 1 756 763 0=1.666667e-01 1=5.000000e-01
1 1 763 764 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=53760
splitncnn_11 1 2 764 764_splitncnn_0 764_splitncnn_1
1 1 764_splitncnn_1 766 0=28 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
1 1 766 768
1 1 768 769 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
1 1 769 775 0=1.666667e-01 1=5.000000e-01
2 1 764_splitncnn_0 775 776 0=2
1 1 747_splitncnn_0 777 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8960
2 1 776 777 779 0=0
splitncnn_12 1 2 779 779_splitncnn_0 779_splitncnn_1
1 1 779_splitncnn_1 780 0=672 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=75264
1 1 780 787 0=1.666667e-01 1=5.000000e-01
1 1 787 788 0=672 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=6048 7=672
1 1 788 795 0=1.666667e-01 1=5.000000e-01
1 1 795 796 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=75264
splitncnn_13 1 2 796 796_splitncnn_0 796_splitncnn_1
1 1 796_splitncnn_1 798 0=28 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
1 1 798 800
1 1 800 801 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
1 1 801 807 0=1.666667e-01 1=5.000000e-01
2 1 796_splitncnn_0 807 808 0=2
2 1 808 779_splitncnn_0 809 0=0
splitncnn_14 1 2 809 809_splitncnn_0 809_splitncnn_1
1 1 809_splitncnn_1 810 0=672 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=75264
1 1 810 817 0=1.666667e-01 1=5.000000e-01
1 1 817 818 0=672 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=16800 7=672
1 1 818 825 0=1.666667e-01 1=5.000000e-01
1 1 825 826 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=107520
splitncnn_15 1 2 826 826_splitncnn_0 826_splitncnn_1
1 1 826_splitncnn_1 828 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
1 1 828 830
1 1 830 831 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
1 1 831 837 0=1.666667e-01 1=5.000000e-01
2 1 826_splitncnn_0 837 838 0=2
1 1 809_splitncnn_0 839 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=17920
2 1 838 839 841 0=0
1 1 841 842 0=672 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=107520
1 1 842 849 0=1.666667e-01 1=5.000000e-01
splitncnn_16 1 3 849 849_splitncnn_0 849_splitncnn_1 849_splitncnn_2
1 1 849_splitncnn_2 850 0=672 1=5 11=5 2=1 12=1 3=2 13=2 4=2 14=2 15=2 16=2 5=1 6=16800 7=672
1 1 850 857 0=1.666667e-01 1=5.000000e-01
1 1 857 858 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=107520
splitncnn_17 1 2 858 858_splitncnn_0 858_splitncnn_1
1 1 858_splitncnn_1 860 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
1 1 860 862
1 1 862 863 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
1 1 863 869 0=1.666667e-01 1=5.000000e-01
2 1 858_splitncnn_0 869 870 0=2
splitncnn_18 1 2 870 870_splitncnn_0 870_splitncnn_1
1 1 870_splitncnn_1 871 0=960 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=153600
1 1 871 878 0=1.666667e-01 1=5.000000e-01
1 1 878 879 0=960 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=24000 7=960
1 1 879 886 0=1.666667e-01 1=5.000000e-01
1 1 886 887 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=153600
splitncnn_19 1 2 887 887_splitncnn_0 887_splitncnn_1
1 1 887_splitncnn_1 889 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
1 1 889 891
1 1 891 892 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
1 1 892 898 0=1.666667e-01 1=5.000000e-01
2 1 887_splitncnn_0 898 899 0=2
2 1 899 870_splitncnn_0 900 0=0
1 1 900 901 0=960 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=153600
1 1 901 908 0=1.666667e-01 1=5.000000e-01
splitncnn_20 1 3 908 908_splitncnn_0 908_splitncnn_1 908_splitncnn_2
1 1 908_splitncnn_2 909 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=245760
1 1 909 911 0=0.000000e+00 1=6.000000e+00
1 1 911 912 0=256 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
1 1 912 914 0=0.000000e+00 1=6.000000e+00
1 1 914 915 0=512 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=131072
1 1 915 917 0=0.000000e+00 1=6.000000e+00
splitncnn_21 1 3 917 917_splitncnn_0 917_splitncnn_1 917_splitncnn_2
1 1 917_splitncnn_2 918 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=65536
1 1 918 920 0=0.000000e+00 1=6.000000e+00
1 1 920 921 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
1 1 921 923 0=0.000000e+00 1=6.000000e+00
1 1 923 924 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768
1 1 924 926 0=0.000000e+00 1=6.000000e+00
splitncnn_22 1 3 926 926_splitncnn_0 926_splitncnn_1 926_splitncnn_2
1 1 926_splitncnn_2 927 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768
1 1 927 929 0=0.000000e+00 1=6.000000e+00
1 1 929 930 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
1 1 930 932 0=0.000000e+00 1=6.000000e+00
1 1 932 933 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768
1 1 933 935 0=0.000000e+00 1=6.000000e+00
splitncnn_23 1 3 935 935_splitncnn_0 935_splitncnn_1 935_splitncnn_2
1 1 935_splitncnn_2 936 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384
1 1 936 938 0=0.000000e+00 1=6.000000e+00
1 1 938 939 0=64 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=576 7=64
1 1 939 941 0=0.000000e+00 1=6.000000e+00
1 1 941 942 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8192
1 1 942 944 0=0.000000e+00 1=6.000000e+00
splitncnn_24 1 2 944 944_splitncnn_0 944_splitncnn_1
1 1 849_splitncnn_1 945 0=672 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=6048 7=672
1 1 945 947 0=0.000000e+00 1=6.000000e+00
1 1 947 output 0=8 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=5376
P1_conf 1 1 output P1_conf 0=3
F1_conf 1 1 P1_conf F1_conf
1 1 849_splitncnn_0 949 0=672 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=6048 7=672
1 1 949 951 0=0.000000e+00 1=6.000000e+00
1 1 951 952 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=10752
P1_loc 1 1 952 P1_loc 0=3
F1_loc 1 1 P1_loc F1_loc
priorbox_1 2 1 849_splitncnn_2 data_splitncnn_5 priorbox_1 -23300=1,60.000000 -23301=1,105.0 -23302=1,2.000000 3=0.100000 4=0.100000 5=0.200000 6=0.200000 7=1 8=0 9=-233 10=-233 11=-233 12=-233 13=0.500000 14=1 15=1
1 1 908_splitncnn_1 953 0=960 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=8640 7=960
1 1 953 955 0=0.000000e+00 1=6.000000e+00
1 1 955 956 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=11520
P2_conf 1 1 956 P2_conf 0=3
F2_conf 1 1 P2_conf F2_conf
1 1 908_splitncnn_0 957 0=960 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=8640 7=960
1 1 957 959 0=0.000000e+00 1=6.000000e+00
1 1 959 960 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=23040
P2_loc 1 1 960 P2_loc 0=3
F2_loc 1 1 P2_loc F2_loc
priorbox_2 2 1 908_splitncnn_2 data_splitncnn_4 priorbox_2 -23300=1,105.000000 -23301=1,150.00000 -23302=2,2.000000,3.0 3=0.100000 4=0.100000 5=0.200000 6=0.200000 7=1 8=0 9=-233 10=-233 11=-233.000000 12=-233.000000 13=0.500000 14=1 15=1
1 1 917_splitncnn_1 961 0=512 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4608 7=512
1 1 961 963 0=0.000000e+00 1=6.000000e+00
1 1 963 964 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6144
P3_conf 1 1 964 P3_conf 0=3
F3_conf 1 1 P3_conf F3_conf
1 1 917_splitncnn_0 965 0=512 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4608 7=512
1 1 965 967 0=0.000000e+00 1=6.000000e+00
1 1 967 968 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=12288
P3_loc 1 1 968 P3_loc 0=3
F3_loc 1 1 P3_loc F3_loc
priorbox_3 2 1 917_splitncnn_2 data_splitncnn_3 priorbox_3 -23300=1,150.000000 -23301=1,195.0 -23302=2,2.000000,3.0 3=0.100000 4=0.100000 5=0.200000 6=0.200000 7=1 8=0 9=-233 10=-233 11=-233.000000 12=-233.000000 13=0.500000 14=1 15=1
1 1 926_splitncnn_1 969 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
1 1 969 971 0=0.000000e+00 1=6.000000e+00
1 1 971 972 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072
P4_conf 1 1 972 P4_conf 0=3
F4_conf 1 1 P4_conf F4_conf
1 1 926_splitncnn_0 973 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
1 1 973 975 0=0.000000e+00 1=6.000000e+00
1 1 975 976 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6144
P4_loc 1 1 976 P4_loc 0=3
F4_loc 1 1 P4_loc F4_loc
priorbox_4 2 1 926_splitncnn_2 data_splitncnn_2 priorbox_4 -23300=1,195.000000 -23301=1,240.0 -23302=2,2.000000,3.0 3=0.100000 4=0.100000 5=0.200000 6=0.200000 7=1 8=0 9=-233 10=-233 11=-233.000000 12=-233.000000 13=0.500000 14=1 15=1
1 1 935_splitncnn_1 977 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
1 1 977 979 0=0.000000e+00 1=6.000000e+00
1 1 979 980 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072
P5_conf 1 1 980 P5_conf 0=3
F5_conf 1 1 P5_conf F5_conf
1 1 935_splitncnn_0 981 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
1 1 981 983 0=0.000000e+00 1=6.000000e+00
1 1 983 984 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6144
P5_loc 1 1 984 P5_loc 0=3
F5_loc 1 1 P5_loc F5_loc
priorbox_5 2 1 935_splitncnn_2 data_splitncnn_1 priorbox_5 -23300=1,240.000000 -23301=1,285.0 -23302=1,2.000000 3=0.100000 4=0.100000 5=0.200000 6=0.200000 7=1 8=0 9=-233 10=-233 11=-233.000000 12=-233.000000 13=0.500000 14=1 15=1
1 1 944_splitncnn_1 985 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
1 1 985 987 0=0.000000e+00 1=6.000000e+00
1 1 987 988 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1536
P6_conf 1 1 988 P6_conf 0=3
F6_conf 1 1 P6_conf F6_conf
1 1 944_splitncnn_0 989 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
1 1 989 991 0=0.000000e+00 1=6.000000e+00
1 1 991 992 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072
P6_loc 1 1 992 P6_loc 0=3
F6_loc 1 1 P6_loc F6_loc
priorbox_6 2 1 944_splitncnn_1 data_splitncnn_0 priorbox_6 -23300=1,285.000000 -23301=1,300.0 -23302=1,2.000000 3=0.100000 4=0.100000 5=0.200000 6=0.200000 7=1 8=0 9=-233 10=-233 11=-233.000000 12=-233.000000 13=0.500000 14=1 15=1
mbox_loc 6 1 F1_loc F2_loc F3_loc F4_loc F5_loc F6_loc mbox_loc 0=0
mbox_conf 6 1 F1_conf F2_conf F3_conf F4_conf F5_conf F6_conf mbox_conf 0=0
mbox_priorbox 6 1 priorbox_1 priorbox_2 priorbox_3 priorbox_4 priorbox_5 priorbox_6 mbox_priorbox 0=1
mbox_conf_reshape 1 1 mbox_conf mbox_conf_reshape 0=21 1=-1
mbox_conf_softmax 1 1 mbox_conf_reshape mbox_conf_softmax 0=1 1=1
mbox_conf_flatten 1 1 mbox_conf_softmax mbox_conf_flatten
detection_out 3 1 mbox_loc mbox_conf_flatten mbox_priorbox detection_out 0=21 1=0.450000 2=300 3=100 4=0.010000 5=0.1 6=0.1 7=0.2 8=0.2

paul5634 · Answer 1 · Tue Apr 07 2020 16:36:23 GMT+0800 (China Standard Time)

上面那个是修改过的param文件，原始的param文件在这

7767517
218 248
Input input.1 0 1 input.1
Convolution 580 1 1 input.1 580 0=16 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=432
HardSwish 587 1 1 580 587 0=1.666667e-01 1=5.000000e-01
Split splitncnn_0 1 2 587 587_splitncnn_0 587_splitncnn_1
Convolution 588 1 1 587_splitncnn_1 588 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=256
ReLU 590 1 1 588 590
ConvolutionDepthWise 591 1 1 590 591 0=16 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=144 7=16
ReLU 593 1 1 591 593
Convolution 594 1 1 593 594 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=256
BinaryOp 596 2 1 594 587_splitncnn_0 596 0=0
Convolution 597 1 1 596 597 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1024
ReLU 599 1 1 597 599
ConvolutionDepthWise 600 1 1 599 600 0=64 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=576 7=64
ReLU 602 1 1 600 602
Convolution 603 1 1 602 603 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1536
Split splitncnn_1 1 2 603 603_splitncnn_0 603_splitncnn_1
Convolution 605 1 1 603_splitncnn_1 605 0=72 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1728
ReLU 607 1 1 605 607
ConvolutionDepthWise 608 1 1 607 608 0=72 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=648 7=72
ReLU 610 1 1 608 610
Convolution 611 1 1 610 611 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1728
BinaryOp 613 2 1 611 603_splitncnn_0 613 0=0
Convolution 614 1 1 613 614 0=72 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1728
ReLU 616 1 1 614 616
ConvolutionDepthWise 617 1 1 616 617 0=72 1=5 11=5 2=1 12=1 3=2 13=2 4=2 14=2 15=2 16=2 5=1 6=1800 7=72
ReLU 619 1 1 617 619
Convolution 620 1 1 619 620 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=2880
Split splitncnn_2 1 2 620 620_splitncnn_0 620_splitncnn_1
Convolution 622 1 1 620_splitncnn_1 622 0=10 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
ReLU 624 1 1 622 624
Convolution 625 1 1 624 625 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
HardSigmoid 631 1 1 625 631 0=1.666667e-01 1=5.000000e-01
BinaryOp 632 2 1 620_splitncnn_0 631 632 0=2
Split splitncnn_3 1 2 632 632_splitncnn_0 632_splitncnn_1
Convolution 633 1 1 632_splitncnn_1 633 0=120 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
ReLU 635 1 1 633 635
ConvolutionDepthWise 636 1 1 635 636 0=120 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=3000 7=120
ReLU 638 1 1 636 638
Convolution 639 1 1 638 639 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
Split splitncnn_4 1 2 639 639_splitncnn_0 639_splitncnn_1
Convolution 641 1 1 639_splitncnn_1 641 0=10 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
ReLU 643 1 1 641 643
Convolution 644 1 1 643 644 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
HardSigmoid 650 1 1 644 650 0=1.666667e-01 1=5.000000e-01
BinaryOp 651 2 1 639_splitncnn_0 650 651 0=2
BinaryOp 652 2 1 651 632_splitncnn_0 652 0=0
Split splitncnn_5 1 2 652 652_splitncnn_0 652_splitncnn_1
Convolution 653 1 1 652_splitncnn_1 653 0=120 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
ReLU 655 1 1 653 655
ConvolutionDepthWise 656 1 1 655 656 0=120 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=3000 7=120
ReLU 658 1 1 656 658
Convolution 659 1 1 658 659 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=4800
Split splitncnn_6 1 2 659 659_splitncnn_0 659_splitncnn_1
Convolution 661 1 1 659_splitncnn_1 661 0=10 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
ReLU 663 1 1 661 663
Convolution 664 1 1 663 664 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=400
HardSigmoid 670 1 1 664 670 0=1.666667e-01 1=5.000000e-01
BinaryOp 671 2 1 659_splitncnn_0 670 671 0=2
BinaryOp 672 2 1 671 652_splitncnn_0 672 0=0
Convolution 673 1 1 672 673 0=240 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=9600
HardSwish 680 1 1 673 680 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 681 1 1 680 681 0=240 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=2160 7=240
HardSwish 688 1 1 681 688 0=1.666667e-01 1=5.000000e-01
Convolution 689 1 1 688 689 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=19200
Split splitncnn_7 1 2 689 689_splitncnn_0 689_splitncnn_1
Convolution 691 1 1 689_splitncnn_1 691 0=200 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16000
HardSwish 698 1 1 691 698 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 699 1 1 698 699 0=200 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1800 7=200
HardSwish 706 1 1 699 706 0=1.666667e-01 1=5.000000e-01
Convolution 707 1 1 706 707 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16000
BinaryOp 709 2 1 707 689_splitncnn_0 709 0=0
Split splitncnn_8 1 2 709 709_splitncnn_0 709_splitncnn_1
Convolution 710 1 1 709_splitncnn_1 710 0=184 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
HardSwish 717 1 1 710 717 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 718 1 1 717 718 0=184 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1656 7=184
HardSwish 725 1 1 718 725 0=1.666667e-01 1=5.000000e-01
Convolution 726 1 1 725 726 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
BinaryOp 728 2 1 726 709_splitncnn_0 728 0=0
Split splitncnn_9 1 2 728 728_splitncnn_0 728_splitncnn_1
Convolution 729 1 1 728_splitncnn_1 729 0=184 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
HardSwish 736 1 1 729 736 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 737 1 1 736 737 0=184 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1656 7=184
HardSwish 744 1 1 737 744 0=1.666667e-01 1=5.000000e-01
Convolution 745 1 1 744 745 0=80 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=14720
BinaryOp 747 2 1 745 728_splitncnn_0 747 0=0
Split splitncnn_10 1 2 747 747_splitncnn_0 747_splitncnn_1
Convolution 748 1 1 747_splitncnn_1 748 0=480 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=38400
HardSwish 755 1 1 748 755 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 756 1 1 755 756 0=480 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4320 7=480
HardSwish 763 1 1 756 763 0=1.666667e-01 1=5.000000e-01
Convolution 764 1 1 763 764 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=53760
Split splitncnn_11 1 2 764 764_splitncnn_0 764_splitncnn_1
Convolution 766 1 1 764_splitncnn_1 766 0=28 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
ReLU 768 1 1 766 768
Convolution 769 1 1 768 769 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
HardSigmoid 775 1 1 769 775 0=1.666667e-01 1=5.000000e-01
BinaryOp 776 2 1 764_splitncnn_0 775 776 0=2
Convolution 777 1 1 747_splitncnn_0 777 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8960
BinaryOp 779 2 1 776 777 779 0=0
Split splitncnn_12 1 2 779 779_splitncnn_0 779_splitncnn_1
Convolution 780 1 1 779_splitncnn_1 780 0=672 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=75264
HardSwish 787 1 1 780 787 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 788 1 1 787 788 0=672 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=6048 7=672
HardSwish 795 1 1 788 795 0=1.666667e-01 1=5.000000e-01
Convolution 796 1 1 795 796 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=75264
Split splitncnn_13 1 2 796 796_splitncnn_0 796_splitncnn_1
Convolution 798 1 1 796_splitncnn_1 798 0=28 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
ReLU 800 1 1 798 800
Convolution 801 1 1 800 801 0=112 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3136
HardSigmoid 807 1 1 801 807 0=1.666667e-01 1=5.000000e-01
BinaryOp 808 2 1 796_splitncnn_0 807 808 0=2
BinaryOp 809 2 1 808 779_splitncnn_0 809 0=0
Split splitncnn_14 1 2 809 809_splitncnn_0 809_splitncnn_1
Convolution 810 1 1 809_splitncnn_1 810 0=672 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=75264
HardSwish 817 1 1 810 817 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 818 1 1 817 818 0=672 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=16800 7=672
HardSwish 825 1 1 818 825 0=1.666667e-01 1=5.000000e-01
Convolution 826 1 1 825 826 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=107520
Split splitncnn_15 1 2 826 826_splitncnn_0 826_splitncnn_1
Convolution 828 1 1 826_splitncnn_1 828 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
ReLU 830 1 1 828 830
Convolution 831 1 1 830 831 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
HardSigmoid 837 1 1 831 837 0=1.666667e-01 1=5.000000e-01
BinaryOp 838 2 1 826_splitncnn_0 837 838 0=2
Convolution 839 1 1 809_splitncnn_0 839 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=17920
BinaryOp 841 2 1 838 839 841 0=0
Convolution 842 1 1 841 842 0=672 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=107520
HardSwish 849 1 1 842 849 0=1.666667e-01 1=5.000000e-01
Split splitncnn_16 1 3 849 849_splitncnn_0 849_splitncnn_1 849_splitncnn_2
ConvolutionDepthWise 850 1 1 849_splitncnn_2 850 0=672 1=5 11=5 2=1 12=1 3=2 13=2 4=2 14=2 15=2 16=2 5=1 6=16800 7=672
HardSwish 857 1 1 850 857 0=1.666667e-01 1=5.000000e-01
Convolution 858 1 1 857 858 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=107520
Split splitncnn_17 1 2 858 858_splitncnn_0 858_splitncnn_1
Convolution 860 1 1 858_splitncnn_1 860 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
ReLU 862 1 1 860 862
Convolution 863 1 1 862 863 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
HardSigmoid 869 1 1 863 869 0=1.666667e-01 1=5.000000e-01
BinaryOp 870 2 1 858_splitncnn_0 869 870 0=2
Split splitncnn_18 1 2 870 870_splitncnn_0 870_splitncnn_1
Convolution 871 1 1 870_splitncnn_1 871 0=960 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=153600
HardSwish 878 1 1 871 878 0=1.666667e-01 1=5.000000e-01
ConvolutionDepthWise 879 1 1 878 879 0=960 1=5 11=5 2=1 12=1 3=1 13=1 4=2 14=2 15=2 16=2 5=1 6=24000 7=960
HardSwish 886 1 1 879 886 0=1.666667e-01 1=5.000000e-01
Convolution 887 1 1 886 887 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=153600
Split splitncnn_19 1 2 887 887_splitncnn_0 887_splitncnn_1
Convolution 889 1 1 887_splitncnn_1 889 0=40 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
ReLU 891 1 1 889 891
Convolution 892 1 1 891 892 0=160 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6400
HardSigmoid 898 1 1 892 898 0=1.666667e-01 1=5.000000e-01
BinaryOp 899 2 1 887_splitncnn_0 898 899 0=2
BinaryOp 900 2 1 899 870_splitncnn_0 900 0=0
Convolution 901 1 1 900 901 0=960 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=153600
HardSwish 908 1 1 901 908 0=1.666667e-01 1=5.000000e-01
Split splitncnn_20 1 3 908 908_splitncnn_0 908_splitncnn_1 908_splitncnn_2
Convolution 909 1 1 908_splitncnn_2 909 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=245760
Clip 911 1 1 909 911 0=0.000000e+00 1=6.000000e+00
ConvolutionDepthWise 912 1 1 911 912 0=256 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
Clip 914 1 1 912 914 0=0.000000e+00 1=6.000000e+00
Convolution 915 1 1 914 915 0=512 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=131072
Clip 917 1 1 915 917 0=0.000000e+00 1=6.000000e+00
Split splitncnn_21 1 3 917 917_splitncnn_0 917_splitncnn_1 917_splitncnn_2
Convolution 918 1 1 917_splitncnn_2 918 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=65536
Clip 920 1 1 918 920 0=0.000000e+00 1=6.000000e+00
ConvolutionDepthWise 921 1 1 920 921 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
Clip 923 1 1 921 923 0=0.000000e+00 1=6.000000e+00
Convolution 924 1 1 923 924 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768
Clip 926 1 1 924 926 0=0.000000e+00 1=6.000000e+00
Split splitncnn_22 1 3 926 926_splitncnn_0 926_splitncnn_1 926_splitncnn_2
Convolution 927 1 1 926_splitncnn_2 927 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768
Clip 929 1 1 927 929 0=0.000000e+00 1=6.000000e+00
ConvolutionDepthWise 930 1 1 929 930 0=128 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
Clip 932 1 1 930 932 0=0.000000e+00 1=6.000000e+00
Convolution 933 1 1 932 933 0=256 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=32768
Clip 935 1 1 933 935 0=0.000000e+00 1=6.000000e+00
Split splitncnn_23 1 3 935 935_splitncnn_0 935_splitncnn_1 935_splitncnn_2
Convolution 936 1 1 935_splitncnn_2 936 0=64 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=16384
Clip 938 1 1 936 938 0=0.000000e+00 1=6.000000e+00
ConvolutionDepthWise 939 1 1 938 939 0=64 1=3 11=3 2=1 12=1 3=2 13=2 4=1 14=1 15=1 16=1 5=1 6=576 7=64
Clip 941 1 1 939 941 0=0.000000e+00 1=6.000000e+00
Convolution 942 1 1 941 942 0=128 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=8192
Clip 944 1 1 942 944 0=0.000000e+00 1=6.000000e+00
Split splitncnn_24 1 2 944 944_splitncnn_0 944_splitncnn_1
ConvolutionDepthWise 945 1 1 849_splitncnn_1 945 0=672 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=6048 7=672
Clip 947 1 1 945 947 0=0.000000e+00 1=6.000000e+00
Convolution 948 1 1 947 948 0=8 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=5376
ConvolutionDepthWise 949 1 1 849_splitncnn_0 949 0=672 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=6048 7=672
Clip 951 1 1 949 951 0=0.000000e+00 1=6.000000e+00
Convolution 952 1 1 951 952 0=16 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=10752
ConvolutionDepthWise 953 1 1 908_splitncnn_1 953 0=960 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=8640 7=960
Clip 955 1 1 953 955 0=0.000000e+00 1=6.000000e+00
Convolution 956 1 1 955 956 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=11520
ConvolutionDepthWise 957 1 1 908_splitncnn_0 957 0=960 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=8640 7=960
Clip 959 1 1 957 959 0=0.000000e+00 1=6.000000e+00
Convolution 960 1 1 959 960 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=23040
ConvolutionDepthWise 961 1 1 917_splitncnn_1 961 0=512 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4608 7=512
Clip 963 1 1 961 963 0=0.000000e+00 1=6.000000e+00
Convolution 964 1 1 963 964 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6144
ConvolutionDepthWise 965 1 1 917_splitncnn_0 965 0=512 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=4608 7=512
Clip 967 1 1 965 967 0=0.000000e+00 1=6.000000e+00
Convolution 968 1 1 967 968 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=12288
ConvolutionDepthWise 969 1 1 926_splitncnn_1 969 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
Clip 971 1 1 969 971 0=0.000000e+00 1=6.000000e+00
Convolution 972 1 1 971 972 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072
ConvolutionDepthWise 973 1 1 926_splitncnn_0 973 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
Clip 975 1 1 973 975 0=0.000000e+00 1=6.000000e+00
Convolution 976 1 1 975 976 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6144
ConvolutionDepthWise 977 1 1 935_splitncnn_1 977 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
Clip 979 1 1 977 979 0=0.000000e+00 1=6.000000e+00
Convolution 980 1 1 979 980 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072
ConvolutionDepthWise 981 1 1 935_splitncnn_0 981 0=256 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=2304 7=256
Clip 983 1 1 981 983 0=0.000000e+00 1=6.000000e+00
Convolution 984 1 1 983 984 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=6144
ConvolutionDepthWise 985 1 1 944_splitncnn_1 985 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
Clip 987 1 1 985 987 0=0.000000e+00 1=6.000000e+00
Convolution 988 1 1 987 988 0=12 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=1536
ConvolutionDepthWise 989 1 1 944_splitncnn_0 989 0=128 1=3 11=3 2=1 12=1 3=1 13=1 4=1 14=1 15=1 16=1 5=1 6=1152 7=128
Clip 991 1 1 989 991 0=0.000000e+00 1=6.000000e+00
Convolution 992 1 1 991 992 0=24 1=1 11=1 2=1 12=1 3=1 13=1 4=0 14=0 15=0 16=0 5=1 6=3072

yehao · Answer 2 · Mon Apr 13 2020 17:54:42 GMT+0800 (China Standard Time)

先查看下param中每层网络对应参数的含义比如convolution bottom_blob_name top_blob_name 0, 1, 2等对应的含义

paul5634 · Answer 3 · Fri Apr 17 2020 10:20:22 GMT+0800 (China Standard Time)

先查看下param中每层网络对应参数的含义比如convolution bottom_blob_name top_blob_name 0, 1, 2等对应的含义

谢谢