rknn_yolo_demo模型跑不起来

li-long

使用1808-JD4核心板，编译rknn_yolo_demo模型，运行系统总是直接崩溃了。
能给一个可以运行的例子吗？python的也行。

1. sudo ./build/rknn_yolo_demo ./model/yolov3.rknn ./model/dog.jpg rknn_yolo_dem
   
2. resize 768 576 to 416 416
   
3. [  276.117388] Unable to handle kernel paging request at virtual address 22efc008
   
4. [  276.118084] pgd = ffffffc03d7c8000
   
5. [  276.118433] [22efc008] *pgd=000000001e98f003, *pud=000000001e98f003, *pmd=00000000241c7003, *pte=0000000000000000
   
6. [  276.119375] Internal error: Oops: 96000007 [#1] PREEMPT SMP
   
7. [  276.119872] Modules linked in: galcore(O)
   
8. [  276.120253] CPU: 0 PID: 1337 Comm: rknn_yolo_demo Tainted: G           O    4.4.194 #2
   
9. [  276.120956] Hardware name: AIO-RK1808-JD4 Board (DT)
   
10. [  276.121400] task: ffffffc03d5b0ac0 task.stack: ffffffc03c524000
    
11. [  276.121936] PC is at find_vma+0x78/0x80
    
12. [  276.122284] LR is at find_vma+0x1c/0x80
    
13. [  276.122630] pc : [<ffffff8008131464>] lr : [<ffffff8008131408>] pstate: 20000145
    
14. [  276.123279] sp : ffffffc03c527a50
    
15. [  276.123579] x29: ffffffc03c527a50 x28: ffffffc03d5b0ac0
    
16. [  276.124071] x27: ffffff8008872000 x26: 000000000000001d
    
17. [  276.124561] x25: 0000000000000000 x24: ffffffc03cbf8200
    
18. [  276.125052] x23: 0000000000000539 x22: ffffffc03c580f40
    
19. [  276.125542] x21: ffffffc0241c6840 x20: 0000007f8e4e8000
    
20. [  276.126032] x19: 0000000000000000 x18: 000000000000084d
    
21. [  276.126523] x17: 0000007f9706e530 x16: ffffff8008152a8c
    
22. [  276.127012] x15: 0000007f96fa9e08 x14: 0010000000000000
    
23. [  276.127503] x13: 0000000000000000 x12: 0000000000000038
    
24. [  276.127993] x11: 0101010101010101 x10: 7f7f7f7f7f7f7f7f
    
25. [  276.128485] x9 : ffffffc03c46d860 x8 : 0068000000000f53
    
26. [  276.128976] x7 : 00000000002000fb x6 : ffffffc03c46d8f0
    
27. [  276.129466] x5 : 0068000000000f4f x4 : ffffffc0241c6840
    
28. [  276.129957] x3 : 0000000000000000 x2 : 0000000000000000
    
29. [  276.130447] x1 : 0000000022efbfe0 x0 : 0000000022efc000
    
30. [  276.130939]
    
31. [  276.130939] PC: 0xffffff80081313e4:
    
32. [  276.131382] 13e4  d2800003 17ffffef a9bd7bfd 910003fd a90153f3 aa0103f4 f90013f5 aa0003f5
    
33. [  276.132199] 1404  97ffe232 aa0003f3 b50000e0 f94006a0 b5000140 b4000093 aa1303e1 aa1403e0
    
34. [  276.133014] 1424  97ffe21f aa1303e0 f94013f5 a94153f3 a8c37bfd d65f03c0 f85e8002 d1008001
    
35. [  276.133829] 1444  eb02029f 540000e2 aa0103f3 f85e0001 eb01029f 54fffe02 f9400800 17ffffed
    
36. [  276.134644] 1464  f9400400 17ffffeb a9be7bfd d0003a42 912f4042 910003fd a90153f3 f9404803
    
37. [  276.135460] 1484  f9405400 eb02007f 54000040 f9400400 f9400422 b50000e2 f9400013 b5000153
    
38. [  276.136273] 14a4  52800040 a94153f3 a8c27bfd d65f03c0 f9400003 b4ffff23 d1000442 91002000
    
39. [  276.137095] 14c4  17fffff5 f9401260 aa0103f4 37000140 91007262 f9800051 885f7c40 11000400
    
40. [  276.137911]
    
41. [  276.137911] LR: 0xffffff8008131388:
    
42. [  276.138354] 1388  aa1803e1 910123a0 97fff172 b4000254 f9400682 b4000257 f94002e3 aa1803e1
    
43. [  276.139168] 13a8  910123a0 97ffef2e aa1603e2 aa1503e1 910123a0 97ffee23 a94153f3 a9425bf5
    
44. [  276.139983] 13c8  a94363f7 a8cd7bfd d65f03c0 f9400017 17ffffdd d2800002 17ffffef d2800003
    
45. [  276.140798] 13e8  17ffffef a9bd7bfd 910003fd a90153f3 aa0103f4 f90013f5 aa0003f5 97ffe232
    
46. [  276.141612] 1408  aa0003f3 b50000e0 f94006a0 b5000140 b4000093 aa1303e1 aa1403e0 97ffe21f
    
47. [  276.142426] 1428  aa1303e0 f94013f5 a94153f3 a8c37bfd d65f03c0 f85e8002 d1008001 eb02029f
    
48. [  276.143242] 1448  540000e2 aa0103f3 f85e0001 eb01029f 54fffe02 f9400800 17ffffed f9400400
    
49. [  276.144056] 1468  17ffffeb a9be7bfd d0003a42 912f4042 910003fd a90153f3 f9404803 f9405400
    

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板蓝根

external/rknntoolkit 里的 demo 不可以跑吗？