hi3516d v300使用yolov3训练数据集仿真正确，板上运行识别不出结果

最近在研究Hi3516D V300运行yolov3，采用Hi3516CV500_SDK_V2.0.2.1
自己训练数据集（3个类别），仿真正常，识别出错，哪位同仁遇到过相同问题或已经成功运行的还望不吝赐教，多谢！
步骤如下
一 板上nnie测试例子已经运行成功；

二 自己训练的数据集，功能、指令仿真都正常，置信度0.99、0.97，类别识别、位置都准确；
>>>>>>> HI_MPI_SVP_NNIE_Forward(Seg-0) FINISH <<<<<<<
n:1, c:24, h:13, w:13
n:1, c:24, h:26, w:26
n:1, c:24, h:52, w:52
u32BoxResultNum: 2
==============================================================================
416  416
test_416x416     0  0.99276584  90.98  98.06  201.46  146.06
test_416x416     1  0.96975088  184.34  129.41  201.01  416.00
==============================================================================
SvpSampleCnnDetYoloV3 end ...

三 修改nnie sample识别不出结果
# ./sample_nnie_main 8
[Level]:Debug,[Func]:SAMPLE_COMM_SVP_CheckSysInit [Line]:81 [Info]:Svp mpi init ok!
[Level]:Info,[Func]:SAMPLE_SVP_NNIE_Yolov3 [Line]:3408 [Info]:Yolov3 Load model!
random: crng init done
[Level]:Info,[Func]:SAMPLE_SVP_NNIE_Yolov3 [Line]:3417 [Info]:Yolov3 parameter initialization!
[Level]:Info,[Func]:SAMPLE_SVP_NNIE_Yolov3 [Line]:3424 [Info]:Yolov3 start!
[Level]:Info,[Func]:SAMPLE_SVP_NNIE_Yolov3 [Line]:3461 [Info]:Yolov3 result:
[Level]:Debug,[Func]:SAMPLE_COMM_SVP_CheckSysExit [Line]:94 [Info]:Svp mpi exit ok!

四 附录
修改如下：
1. sample_nnie.c
void SAMPLE_SVP_NNIE_Yolov3(void)
{
    HI_CHAR *pcSrcFile = "./data/nnie_image/rgb_planar/test_416x416.bgr";                       // 修改，BGR图片文件
    HI_CHAR *pcModelName = "./data/nnie_model/detection/yolov3-voc-test_inst.wk";               // 修改，指令仿真的wk文件

    ...
}

static HI_S32 SAMPLE_SVP_NNIE_Yolov3_SoftwareInit(SAMPLE_SVP_NNIE_CFG_S* pstCfg,
    SAMPLE_SVP_NNIE_PARAM_S *pstNnieParam, SAMPLE_SVP_NNIE_YOLOV3_SOFTWARE_PARAM_S* pstSoftWareParam)
{
    ...
    pstSoftWareParam->u32ClassNum = 3;         // 修改，类别为3
  
    pstSoftWareParam->au32GridNumHeight[0] = 13;
    pstSoftWareParam->au32GridNumHeight[1] = 26;
    pstSoftWareParam->au32GridNumHeight[2] = 52;
    pstSoftWareParam->au32GridNumWidth[0] = 13;
    pstSoftWareParam->au32GridNumWidth[1] = 26;
    pstSoftWareParam->au32GridNumWidth[2] = 52;

    ...
}

2. sample_model_yolo.h
enum {
    SVP_SAMPLE_YOLOV3_SRC_WIDTH = 416,
    SVP_SAMPLE_YOLOV3_SRC_HEIGHT = 416,
    SVP_SAMPLE_YOLOV3_GRIDNUM_CONV_82 = 13,
    SVP_SAMPLE_YOLOV3_GRIDNUM_CONV_94 = 26,
    SVP_SAMPLE_YOLOV3_GRIDNUM_CONV_106 = 52,
    SVP_SAMPLE_YOLOV3_CHANNLENUM = 24,//255, //修改，3x(5+ClassNum)
    SVP_SAMPLE_YOLOV3_PARAMNUM = 8,//85,     //修改，(5+ClassNum)
    SVP_SAMPLE_YOLOV3_BOXNUM = 3,
    SVP_SAMPLE_YOLOV3_CLASSNUM = 3,//80,     //修改，类别数量
    SVP_SAMPLE_YOLOV3_MAX_BOX_NUM = 10
};

3. sample_svp_nnie_software.h
//修改，类别数+5
#define SAMPLE_SVP_NNIE_YOLOV3_EACH_BBOX_INFER_RESULT_NUM   8//85 /*yolov3 inference result num of each bbox*/