TIOVX：opencv的Mat类图像零拷贝转为openvx的vx_image格式，通过Not节点无效果问题记录

问题描述

代码中，创建了一个opencv的Mat图像(并打印了所有的像素值)，然后通过vxCreateImageFromHandle函数将Mat图像转为了vx_image图像(通过映射的方式打印了所有的像素值，通过日志可以看出与之前打印相同)。然后创建graph，将其作为vxNotNode的输入，运行图之后，将vxNotNode节点的输出图像进行映射打印。按理说，打印的像素值应该是输入图像的取反图像(即输出像素值=255-输入像素值)，然而事实并非如此，该问题应该如何解决？

代码 

void show_image_all_pixel(vx_image in_img)
{
    vx_uint32 width;
    vx_uint32 height;

    vxQueryImage(in_img, (vx_enum)VX_IMAGE_WIDTH, &width, sizeof(vx_uint32));
    vxQueryImage(in_img, (vx_enum)VX_IMAGE_HEIGHT, &height, sizeof(vx_uint32));

    vx_map_id map_id_in;
    vx_rectangle_t rect_in = {0, 0, width, height};
    vx_imagepatch_addressing_t map_addr_in;
    vx_uint8* map_ptr_in;
    vxMapImagePatch(in_img, &rect_in, 0, &map_id_in, &map_addr_in, (void **)&map_ptr_in, VX_READ_ONLY, VX_MEMORY_TYPE_HOST, VX_NOGAP_X);

    printf("/************************************打印图像像素值************************************/\n");
    volatile vx_uint32 i,j,k;
    i=j=k=0;
    for(volatile vx_uint32 y = 0; y < map_addr_in.dim_y; y+=map_addr_in.step_y)
    {
        j = (map_addr_in.stride_y*y*map_addr_in.scale_y)/VX_SCALE_UNITY;
        for (volatile vx_uint32 x = 0; x < map_addr_in.dim_x; x+=map_addr_in.step_x)
        {
            i = j + (map_addr_in.stride_x*x*map_addr_in.scale_x)/VX_SCALE_UNITY;
            k++;
            if (0 == k%width)
            {
                printf("%u\n", *(map_ptr_in+i));
            }
            else
            {
                printf("%u, ", *(map_ptr_in+i));
            }
        }
    }
    printf("/************************************打印图像像素值结束************************************/\n");
    vxUnmapImagePatch(in_img, map_id_in);
}

void main(void)
{
    vx_uint32 width = 16;
    vx_uint32 height = 5;

    // 创建opencv图像
    Mat img(height,width,CV_8UC1,Scalar(0));
    img(Range(1,5), Range(1,5)) = Scalar(255);
    printf("opencv创建图像(高*宽*通道数)：%d*%d*%d\n", img.rows, img.cols, img.channels());
    cout << "img.elemSize():  " << img.elemSize() << endl;
    cout << "img.elemSize1(): " << img.elemSize1() << endl;
    cout << "img.step:        " << img.step << endl;
    cout << "img.step1():     " << img.step1() << endl;
    imwrite("pics/inImg_cvSave.bmp", img);
    // 打印opencv创建的图像的所有像素
    cout << "---------------------------------打印opencv创建的图像的所有像素---------------------------------" << endl;
    int tt=0;
    for (int i=0; i<(int)height; i++)
    {
        for(int j=0; j<(int)width; j++)
        {
            tt++;
            if (0 == tt%width)
            {
                cout << img.at(i,j) << endl;
            }
            else
            {
                cout << (int)img.at(i,j) << ", ";
            }
        }
    }

    
    // 利用opencv图像信息配置openvx图像地址结构
    vx_imagepatch_addressing_t addr;
    addr.dim_x = width;
    addr.dim_y = height;
    addr.stride_x = (vx_uint32)img.elemSize();
    addr.stride_y = (vx_uint32)img.step;
    addr.step_x = 1;
    addr.step_y = 1;
    addr.scale_x = VX_SCALE_UNITY;
    addr.scale_y = VX_SCALE_UNITY;
    void* ptr = img.data;
    
    // 创建上下文，输入图像
    vx_context context = vxCreateContext();
    ERROR_CHECK_OBJECT(context);
    vx_image in_img;
    vx_status status = VX_SUCCESS;

    // 从句柄中导入输入图像，打印图像属性，openvx图像地址结构
    in_img = vxCreateImageFromHandle(context, VX_DF_IMAGE_U8, &addr, &ptr, VX_MEMORY_TYPE_HOST);
    cout << "---------------------------------打印vxCreateImageFromHandle创建的图像的所有像素---------------------------------" << endl;
    show_image_all_pixel(in_img);
    
    // 创建图，创建输出图像
    vx_graph graph = vxCreateGraph(context);
    vx_image out_img = vxCreateImage(context, width, height, VX_DF_IMAGE_U8);
    
    // 创建节点
    vx_node n0 = vxNotNode(graph, in_img, out_img);
    
    // 验证图，保存图结构
    status = vxVerifyGraph(graph);
    
    // 调度图
    status = vxScheduleGraph(graph);
    status = vxWaitGraph(graph);

    if (VX_SUCCESS == status)
    {
        cout << "---------------------------------打印vxNotNode输出图像的所有像素---------------------------------" << endl;
        show_image_all_pixel(out_img);
    }

    // 释放资源
    vxReleaseImage(&in_img);
    vxReleaseImage(&out_img);
    vxReleaseNode(&n0);
    vxReleaseGraph(&graph);
    vxReleaseContext(&context);
}

日志

APP: Init ... !!!
MEM: Init ... !!!
MEM: Initialized DMA HEAP (fd=4) !!!
MEM: Init ... Done !!!
IPC: Init ... !!!
IPC: Init ... Done !!!
REMOTE_SERVICE: Init ... !!!
REMOTE_SERVICE: Init ... Done !!!
 30433.712534 s: GTC Frequency = 200 MHz
APP: Init ... Done !!!
 30433.712892 s:  VX_ZONE_INIT:Enabled
 30433.712904 s:  VX_ZONE_ERROR:Enabled
 30433.712948 s:  VX_ZONE_WARNING:Enabled
 30433.713889 s:  VX_ZONE_INIT:[tivxInitLocal:130] Initialization Done !!!
 30433.715078 s:  VX_ZONE_INIT:[tivxHostInitLocal:93] Initialization Done for HOST !!!
/************************************打印Target使能情况************************************/
TIVX_TARGET_A72_0 Enable:                     YES
TIVX_TARGET_A72_1 Enable:                     YES
TIVX_TARGET_A72_2 Enable:                     YES
TIVX_TARGET_A72_3 Enable:                     YES
TIVX_TARGET_DSP1 Enable:                      YES
TIVX_TARGET_DSP2 Enable:                      YES
TIVX_TARGET_DSP_C7_1 Enable:                  YES
/************************************打印Target使能情况结束************************************/
opencv创建图像(高*宽*通道数)：5*16*1
img.elemSize():  1
img.elemSize1(): 1
img.step:        16
img.step1():     16
---------------------------------打印opencv创建的图像的所有像素---------------------------------
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 
---------------------------------打印vxCreateImageFromHandle创建的图像的所有像素---------------------------------
/************************************打印图像像素值************************************/
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 255, 255, 255, 255, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
/************************************打印图像像素值结束************************************/
---------------------------------打印vxNotNode输出图像的所有像素---------------------------------
/************************************打印图像像素值************************************/
90, 30, 1, 1, 22, 0, 0, 0, 33, 0, 0, 0, 44, 0, 0, 0
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0
/************************************打印图像像素值结束************************************/
 30433.719841 s:  VX_ZONE_INIT:[tivxHostDeInitLocal:107] De-Initialization Done for HOST !!!
 30433.724260 s:  VX_ZONE_INIT:[tivxDeInitLocal:193] De-Initialization Done !!!
APP: Deinit ... !!!
REMOTE_SERVICE: Deinit ... !!!
REMOTE_SERVICE: Deinit ... Done !!!
IPC: Deinit ... !!!
IPC: DeInit ... Done !!!
MEM: Deinit ... !!!
DDR_SHARED_MEM: Alloc's: 1 alloc's of 80 bytes 
DDR_SHARED_MEM: Free's : 1 free's  of 80 bytes 
DDR_SHARED_MEM: Open's : 0 allocs  of 0 bytes 
DDR_SHARED_MEM: Total size: 536870912 bytes 
MEM: Deinit ... Done !!!
APP: Deinit ... Done !!!