How to run custom model of nanodet on this app ?

[MjiS]

Hi,
I hope you are doing great. I recently trained a custom model on nanodets v0.4 I also converted my output model to onnx and to param and bin files using online tool.
I placed my files in assets of android folder and changed class names in nanodet.cpp #412 file. After building and running the project, no bounding boxes are displayed and I get this info in log cat

I'm new to this, Sorry for my rookie mistakes.
Your help would be grateful to me. Kindly guide me where I need to make further changes.
Your nanodet app is quite fast 20+fps as compared to yolov5 android app of ncnn. Can i make it faster also ?

my param file of custom model

7767517
283 334
Input input.1 0 1 input.1
MemoryData 446 0 1 446 0=1
MemoryData 474 0 1 474 0=1
MemoryData 502 0 1 502 0=1
MemoryData 549 0 1 549 0=1
MemoryData 577 0 1 577 0=1
MemoryData 605 0 1 605 0=1
MemoryData 633 0 1 633 0=1
MemoryData 661 0 1 661 0=1
MemoryData 689 0 1 689 0=1
MemoryData 717 0 1 717 0=1
MemoryData 764 0 1 764 0=1
MemoryData 792 0 1 792 0=1
MemoryData 820 0 1 820 0=1
Convolution Conv_0 1 1 input.1 424 0=24 1=3 3=2 4=1 5=1 6=648 9=2 -23310=1,1.000000e-01
Pooling MaxPool_2 1 1 424 425 1=3 2=2 3=1 5=1
Split splitncnn_0 1 2 425 425_splitncnn_0 425_splitncnn_1
ConvolutionDepthWise Conv_3 1 1 425_splitncnn_1 943 0=24 1=3 3=2 4=1 5=1 6=216 7=24
Convolution Conv_4 1 1 943 430 0=88 1=1 5=1 6=2112 9=2 -23310=1,1.000000e-01
Convolution Conv_6 1 1 425_splitncnn_0 433 0=88 1=1 5=1 6=2112 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_8 1 1 433 952 0=88 1=3 3=2 4=1 5=1 6=792 7=88
Convolution Conv_9 1 1 952 438 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
Concat Concat_11 2 1 430 438 439
ShuffleChannel Reshape_16 1 1 439 444 0=2
Split splitncnn_1 1 3 444 444_splitncnn_0 444_splitncnn_1 444_splitncnn_2
Shape Shape_17 1 1 444_splitncnn_2 445
Gather Gather_19 2 1 445 446 447
BinaryOp Add_22 1 1 447 450 1=1
BinaryOp Div_24 1 1 450 452 0=3 1=1 2=1.401298e-45
Split splitncnn_2 1 2 452 452_splitncnn_0 452_splitncnn_1
BinaryOp Mul_26 1 1 452_splitncnn_1 454 0=2 1=1
Crop Slice_27 3 1 444_splitncnn_1 454 446 455 -23309=1,0 -23311=1,0
BinaryOp Mul_29 1 1 452_splitncnn_0 457 0=2 1=1 2=2.802597e-45
Crop Slice_30 3 1 444_splitncnn_0 457 446 458 -23311=1,0
Convolution Conv_31 1 1 458 461 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_33 1 1 461 961 0=88 1=3 4=1 5=1 6=792 7=88
Convolution Conv_34 1 1 961 466 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
Concat Concat_36 2 1 455 466 467
ShuffleChannel Reshape_41 1 1 467 472 0=2
Split splitncnn_3 1 3 472 472_splitncnn_0 472_splitncnn_1 472_splitncnn_2
Shape Shape_42 1 1 472_splitncnn_2 473
Gather Gather_44 2 1 473 474 475
BinaryOp Add_47 1 1 475 478 1=1 2=1.401298e-45
BinaryOp Div_49 1 1 478 480 0=3 1=1
Split splitncnn_4 1 2 480 480_splitncnn_0 480_splitncnn_1
BinaryOp Mul_51 1 1 480_splitncnn_1 482 0=2 1=1 2=2.802597e-45
Crop Slice_52 3 1 472_splitncnn_1 482 474 483 -23309=1,0 -23311=1,0
BinaryOp Mul_54 1 1 480_splitncnn_0 485 0=2 1=1
Crop Slice_55 3 1 472_splitncnn_0 485 474 486 -23311=1,0
Convolution Conv_56 1 1 486 489 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_58 1 1 489 970 0=88 1=3 4=1 5=1 6=792 7=88
Convolution Conv_59 1 1 970 494 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
Concat Concat_61 2 1 483 494 495
ShuffleChannel Reshape_66 1 1 495 500 0=2
Split splitncnn_5 1 3 500 500_splitncnn_0 500_splitncnn_1 500_splitncnn_2
Shape Shape_67 1 1 500_splitncnn_2 501
Gather Gather_69 2 1 501 502 503
BinaryOp Add_72 1 1 503 506 1=1
BinaryOp Div_74 1 1 506 508 0=3 1=1 2=1.401298e-45
Split splitncnn_6 1 2 508 508_splitncnn_0 508_splitncnn_1
BinaryOp Mul_76 1 1 508_splitncnn_1 510 0=2 1=1
Crop Slice_77 3 1 500_splitncnn_1 510 502 511 -23309=1,0 -23311=1,0
BinaryOp Mul_79 1 1 508_splitncnn_0 513 0=2 1=1 2=2.802597e-45
Crop Slice_80 3 1 500_splitncnn_0 513 502 514 -23311=1,0
Convolution Conv_81 1 1 514 517 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_83 1 1 517 979 0=88 1=3 4=1 5=1 6=792 7=88
Convolution Conv_84 1 1 979 522 0=88 1=1 5=1 6=7744 9=2 -23310=1,1.000000e-01
Concat Concat_86 2 1 511 522 523
ShuffleChannel Reshape_91 1 1 523 528 0=2
Split splitncnn_7 1 3 528 528_splitncnn_0 528_splitncnn_1 528_splitncnn_2
ConvolutionDepthWise Conv_92 1 1 528_splitncnn_2 985 0=176 1=3 3=2 4=1 5=1 6=1584 7=176
Convolution Conv_93 1 1 985 533 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Convolution Conv_95 1 1 528_splitncnn_1 536 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_97 1 1 536 994 0=176 1=3 3=2 4=1 5=1 6=1584 7=176
Convolution Conv_98 1 1 994 541 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_100 2 1 533 541 542
ShuffleChannel Reshape_105 1 1 542 547 0=2
Split splitncnn_8 1 3 547 547_splitncnn_0 547_splitncnn_1 547_splitncnn_2
Shape Shape_106 1 1 547_splitncnn_2 548
Gather Gather_108 2 1 548 549 550
BinaryOp Add_111 1 1 550 553 1=1 2=1.401298e-45
BinaryOp Div_113 1 1 553 555 0=3 1=1
Split splitncnn_9 1 2 555 555_splitncnn_0 555_splitncnn_1
BinaryOp Mul_115 1 1 555_splitncnn_1 557 0=2 1=1 2=2.802597e-45
Crop Slice_116 3 1 547_splitncnn_1 557 549 558 -23309=1,0 -23311=1,0
BinaryOp Mul_118 1 1 555_splitncnn_0 560 0=2 1=1
Crop Slice_119 3 1 547_splitncnn_0 560 549 561 -23311=1,0
Convolution Conv_120 1 1 561 564 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_122 1 1 564 1003 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_123 1 1 1003 569 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_125 2 1 558 569 570
ShuffleChannel Reshape_130 1 1 570 575 0=2
Split splitncnn_10 1 3 575 575_splitncnn_0 575_splitncnn_1 575_splitncnn_2
Shape Shape_131 1 1 575_splitncnn_2 576
Gather Gather_133 2 1 576 577 578
BinaryOp Add_136 1 1 578 581 1=1
BinaryOp Div_138 1 1 581 583 0=3 1=1 2=1.401298e-45
Split splitncnn_11 1 2 583 583_splitncnn_0 583_splitncnn_1
BinaryOp Mul_140 1 1 583_splitncnn_1 585 0=2 1=1
Crop Slice_141 3 1 575_splitncnn_1 585 577 586 -23309=1,0 -23311=1,0
BinaryOp Mul_143 1 1 583_splitncnn_0 588 0=2 1=1 2=2.802597e-45
Crop Slice_144 3 1 575_splitncnn_0 588 577 589 -23311=1,0
Convolution Conv_145 1 1 589 592 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_147 1 1 592 1012 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_148 1 1 1012 597 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_150 2 1 586 597 598
ShuffleChannel Reshape_155 1 1 598 603 0=2
Split splitncnn_12 1 3 603 603_splitncnn_0 603_splitncnn_1 603_splitncnn_2
Shape Shape_156 1 1 603_splitncnn_2 604
Gather Gather_158 2 1 604 605 606
BinaryOp Add_161 1 1 606 609 1=1 2=1.401298e-45
BinaryOp Div_163 1 1 609 611 0=3 1=1
Split splitncnn_13 1 2 611 611_splitncnn_0 611_splitncnn_1
BinaryOp Mul_165 1 1 611_splitncnn_1 613 0=2 1=1 2=2.802597e-45
Crop Slice_166 3 1 603_splitncnn_1 613 605 614 -23309=1,0 -23311=1,0
BinaryOp Mul_168 1 1 611_splitncnn_0 616 0=2 1=1
Crop Slice_169 3 1 603_splitncnn_0 616 605 617 -23311=1,0
Convolution Conv_170 1 1 617 620 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_172 1 1 620 1021 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_173 1 1 1021 625 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_175 2 1 614 625 626
ShuffleChannel Reshape_180 1 1 626 631 0=2
Split splitncnn_14 1 3 631 631_splitncnn_0 631_splitncnn_1 631_splitncnn_2
Shape Shape_181 1 1 631_splitncnn_2 632
Gather Gather_183 2 1 632 633 634
BinaryOp Add_186 1 1 634 637 1=1
BinaryOp Div_188 1 1 637 639 0=3 1=1 2=1.401298e-45
Split splitncnn_15 1 2 639 639_splitncnn_0 639_splitncnn_1
BinaryOp Mul_190 1 1 639_splitncnn_1 641 0=2 1=1
Crop Slice_191 3 1 631_splitncnn_1 641 633 642 -23309=1,0 -23311=1,0
BinaryOp Mul_193 1 1 639_splitncnn_0 644 0=2 1=1 2=2.802597e-45
Crop Slice_194 3 1 631_splitncnn_0 644 633 645 -23311=1,0
Convolution Conv_195 1 1 645 648 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_197 1 1 648 1030 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_198 1 1 1030 653 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_200 2 1 642 653 654
ShuffleChannel Reshape_205 1 1 654 659 0=2
Split splitncnn_16 1 3 659 659_splitncnn_0 659_splitncnn_1 659_splitncnn_2
Shape Shape_206 1 1 659_splitncnn_2 660
Gather Gather_208 2 1 660 661 662
BinaryOp Add_211 1 1 662 665 1=1 2=1.401298e-45
BinaryOp Div_213 1 1 665 667 0=3 1=1
Split splitncnn_17 1 2 667 667_splitncnn_0 667_splitncnn_1
BinaryOp Mul_215 1 1 667_splitncnn_1 669 0=2 1=1 2=2.802597e-45
Crop Slice_216 3 1 659_splitncnn_1 669 661 670 -23309=1,0 -23311=1,0
BinaryOp Mul_218 1 1 667_splitncnn_0 672 0=2 1=1
Crop Slice_219 3 1 659_splitncnn_0 672 661 673 -23311=1,0
Convolution Conv_220 1 1 673 676 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_222 1 1 676 1039 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_223 1 1 1039 681 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_225 2 1 670 681 682
ShuffleChannel Reshape_230 1 1 682 687 0=2
Split splitncnn_18 1 3 687 687_splitncnn_0 687_splitncnn_1 687_splitncnn_2
Shape Shape_231 1 1 687_splitncnn_2 688
Gather Gather_233 2 1 688 689 690
BinaryOp Add_236 1 1 690 693 1=1
BinaryOp Div_238 1 1 693 695 0=3 1=1 2=1.401298e-45
Split splitncnn_19 1 2 695 695_splitncnn_0 695_splitncnn_1
BinaryOp Mul_240 1 1 695_splitncnn_1 697 0=2 1=1
Crop Slice_241 3 1 687_splitncnn_1 697 689 698 -23309=1,0 -23311=1,0
BinaryOp Mul_243 1 1 695_splitncnn_0 700 0=2 1=1 2=2.802597e-45
Crop Slice_244 3 1 687_splitncnn_0 700 689 701 -23311=1,0
Convolution Conv_245 1 1 701 704 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_247 1 1 704 1048 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_248 1 1 1048 709 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_250 2 1 698 709 710
ShuffleChannel Reshape_255 1 1 710 715 0=2
Split splitncnn_20 1 3 715 715_splitncnn_0 715_splitncnn_1 715_splitncnn_2
Shape Shape_256 1 1 715_splitncnn_2 716
Gather Gather_258 2 1 716 717 718
BinaryOp Add_261 1 1 718 721 1=1 2=1.401298e-45
BinaryOp Div_263 1 1 721 723 0=3 1=1
Split splitncnn_21 1 2 723 723_splitncnn_0 723_splitncnn_1
BinaryOp Mul_265 1 1 723_splitncnn_1 725 0=2 1=1 2=2.802597e-45
Crop Slice_266 3 1 715_splitncnn_1 725 717 726 -23309=1,0 -23311=1,0
BinaryOp Mul_268 1 1 723_splitncnn_0 728 0=2 1=1
Crop Slice_269 3 1 715_splitncnn_0 728 717 729 -23311=1,0
Convolution Conv_270 1 1 729 732 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_272 1 1 732 1057 0=176 1=3 4=1 5=1 6=1584 7=176
Convolution Conv_273 1 1 1057 737 0=176 1=1 5=1 6=30976 9=2 -23310=1,1.000000e-01
Concat Concat_275 2 1 726 737 738
ShuffleChannel Reshape_280 1 1 738 743 0=2
Split splitncnn_22 1 3 743 743_splitncnn_0 743_splitncnn_1 743_splitncnn_2
ConvolutionDepthWise Conv_281 1 1 743_splitncnn_2 1063 0=352 1=3 3=2 4=1 5=1 6=3168 7=352
Convolution Conv_282 1 1 1063 748 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
Convolution Conv_284 1 1 743_splitncnn_1 751 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_286 1 1 751 1072 0=352 1=3 3=2 4=1 5=1 6=3168 7=352
Convolution Conv_287 1 1 1072 756 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
Concat Concat_289 2 1 748 756 757
ShuffleChannel Reshape_294 1 1 757 762 0=2
Split splitncnn_23 1 3 762 762_splitncnn_0 762_splitncnn_1 762_splitncnn_2
Shape Shape_295 1 1 762_splitncnn_2 763
Gather Gather_297 2 1 763 764 765
BinaryOp Add_300 1 1 765 768 1=1
BinaryOp Div_302 1 1 768 770 0=3 1=1 2=1.401298e-45
Split splitncnn_24 1 2 770 770_splitncnn_0 770_splitncnn_1
BinaryOp Mul_304 1 1 770_splitncnn_1 772 0=2 1=1
Crop Slice_305 3 1 762_splitncnn_1 772 764 773 -23309=1,0 -23311=1,0
BinaryOp Mul_307 1 1 770_splitncnn_0 775 0=2 1=1 2=2.802597e-45
Crop Slice_308 3 1 762_splitncnn_0 775 764 776 -23311=1,0
Convolution Conv_309 1 1 776 779 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_311 1 1 779 1081 0=352 1=3 4=1 5=1 6=3168 7=352
Convolution Conv_312 1 1 1081 784 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
Concat Concat_314 2 1 773 784 785
ShuffleChannel Reshape_319 1 1 785 790 0=2
Split splitncnn_25 1 3 790 790_splitncnn_0 790_splitncnn_1 790_splitncnn_2
Shape Shape_320 1 1 790_splitncnn_2 791
Gather Gather_322 2 1 791 792 793
BinaryOp Add_325 1 1 793 796 1=1 2=1.401298e-45
BinaryOp Div_327 1 1 796 798 0=3 1=1
Split splitncnn_26 1 2 798 798_splitncnn_0 798_splitncnn_1
BinaryOp Mul_329 1 1 798_splitncnn_1 800 0=2 1=1 2=2.802597e-45
Crop Slice_330 3 1 790_splitncnn_1 800 792 801 -23309=1,0 -23311=1,0
BinaryOp Mul_332 1 1 798_splitncnn_0 803 0=2 1=1
Crop Slice_333 3 1 790_splitncnn_0 803 792 804 -23311=1,0
Convolution Conv_334 1 1 804 807 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_336 1 1 807 1090 0=352 1=3 4=1 5=1 6=3168 7=352
Convolution Conv_337 1 1 1090 812 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
Concat Concat_339 2 1 801 812 813
ShuffleChannel Reshape_344 1 1 813 818 0=2
Split splitncnn_27 1 3 818 818_splitncnn_0 818_splitncnn_1 818_splitncnn_2
Shape Shape_345 1 1 818_splitncnn_2 819
Gather Gather_347 2 1 819 820 821
BinaryOp Add_350 1 1 821 824 1=1
BinaryOp Div_352 1 1 824 826 0=3 1=1 2=1.401298e-45
Split splitncnn_28 1 2 826 826_splitncnn_0 826_splitncnn_1
BinaryOp Mul_354 1 1 826_splitncnn_1 828 0=2 1=1
Crop Slice_355 3 1 818_splitncnn_1 828 820 829 -23309=1,0 -23311=1,0
BinaryOp Mul_357 1 1 826_splitncnn_0 831 0=2 1=1 2=2.802597e-45
Crop Slice_358 3 1 818_splitncnn_0 831 820 832 -23311=1,0
Convolution Conv_359 1 1 832 835 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_361 1 1 835 1099 0=352 1=3 4=1 5=1 6=3168 7=352
Convolution Conv_362 1 1 1099 840 0=352 1=1 5=1 6=123904 9=2 -23310=1,1.000000e-01
Concat Concat_364 2 1 829 840 841
ShuffleChannel Reshape_369 1 1 841 846 0=2
Convolution Conv_370 1 1 528_splitncnn_0 847 0=128 1=1 5=1 6=22528
Convolution Conv_371 1 1 743_splitncnn_0 848 0=128 1=1 5=1 6=45056
Convolution Conv_372 1 1 846 849 0=128 1=1 5=1 6=90112
Split splitncnn_29 1 2 849 849_splitncnn_0 849_splitncnn_1
Interp Resize_374 1 1 849_splitncnn_1 854 0=2 1=2.000000e+00 2=2.000000e+00
BinaryOp Add_375 2 1 848 854 855
Split splitncnn_30 1 2 855 855_splitncnn_0 855_splitncnn_1
Interp Resize_377 1 1 855_splitncnn_1 860 0=2 1=2.000000e+00 2=2.000000e+00
BinaryOp Add_378 2 1 847 860 861
Split splitncnn_31 1 2 861 861_splitncnn_0 861_splitncnn_1
Interp Resize_380 1 1 861_splitncnn_1 866 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Add_381 2 1 855_splitncnn_0 866 867
Split splitncnn_32 1 2 867 867_splitncnn_0 867_splitncnn_1
Interp Resize_383 1 1 867_splitncnn_1 872 0=2 1=5.000000e-01 2=5.000000e-01
BinaryOp Add_384 2 1 849_splitncnn_0 872 873
ConvolutionDepthWise Conv_385 1 1 861_splitncnn_0 876 0=128 1=3 4=1 5=1 6=1152 7=128 9=2 -23310=1,1.000000e-01
Convolution Conv_387 1 1 876 879 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_389 1 1 879 882 0=128 1=3 4=1 5=1 6=1152 7=128 9=2 -23310=1,1.000000e-01
Convolution Conv_391 1 1 882 885 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution Conv_393 1 1 885 886 0=36 1=1 5=1 6=4608
Slice Split_394 1 2 886 887 888 -23300=2,4,-233
Sigmoid Sigmoid_395 1 1 887 889
Reshape Reshape_397 1 1 889 891 0=1 1=4
Permute Transpose_398 1 1 891 cls_pred_stride_8 0=1
Reshape Reshape_400 1 1 888 894 0=1 1=32
Permute Transpose_401 1 1 894 dis_pred_stride_8 0=1
ConvolutionDepthWise Conv_402 1 1 867_splitncnn_0 898 0=128 1=3 4=1 5=1 6=1152 7=128 9=2 -23310=1,1.000000e-01
Convolution Conv_404 1 1 898 901 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_406 1 1 901 904 0=128 1=3 4=1 5=1 6=1152 7=128 9=2 -23310=1,1.000000e-01
Convolution Conv_408 1 1 904 907 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution Conv_410 1 1 907 908 0=36 1=1 5=1 6=4608
Slice Split_411 1 2 908 909 910 -23300=2,4,-233
Sigmoid Sigmoid_412 1 1 909 911
Reshape Reshape_414 1 1 911 913 0=1 1=4
Permute Transpose_415 1 1 913 cls_pred_stride_16 0=1
Reshape Reshape_417 1 1 910 916 0=1 1=32
Permute Transpose_418 1 1 916 dis_pred_stride_16 0=1
ConvolutionDepthWise Conv_419 1 1 873 920 0=128 1=3 4=1 5=1 6=1152 7=128 9=2 -23310=1,1.000000e-01
Convolution Conv_421 1 1 920 923 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01
ConvolutionDepthWise Conv_423 1 1 923 926 0=128 1=3 4=1 5=1 6=1152 7=128 9=2 -23310=1,1.000000e-01
Convolution Conv_425 1 1 926 929 0=128 1=1 5=1 6=16384 9=2 -23310=1,1.000000e-01
Convolution Conv_427 1 1 929 930 0=36 1=1 5=1 6=4608
Slice Split_428 1 2 930 931 932 -23300=2,4,-233
Sigmoid Sigmoid_429 1 1 931 933
Reshape Reshape_431 1 1 933 935 0=1 1=4
Permute Transpose_432 1 1 935 cls_pred_stride_32 0=1
Reshape Reshape_434 1 1 932 938 0=1 1=32
Permute Transpose_435 1 1 938 dis_pred_stride_32 0=1

Sol: Use nanodet v1 for training > convert to onnx > ncnn ..use simpifier to remove layers