Question

目前我从IPP移植我的应用程序以使用NPP。我遇到问题nppiWarpPerspectiveBack_32f_C1R返回警告2（NPP_WRONG_INTERSECTION_QUAD_WARNING）。但我知道相同的系数IPP通话工作正常。

在附加程序中有两个系数差别不大但一个工作和其他工作失败。对此的任何帮助都会很棒。

高级中的Tnxs 巴拉

// WarpIssue.cpp : Defines the entry point for the console application.
//

#include <stdafx.h>
#include "cuda_runtime.h"
#include "device_launch_parameters.h"
#include "nppi.h"


cudaError_t warp(Npp32f* srcImg, NppiSize srcSize, int srcWidthStep, Npp32f* dstImg, NppiSize dstSize, int dstWidthStep, double coeff[][3]);

int _tmain(int argc, _TCHAR* argv[])
{
    const int arraySize = 5;
    const int a[arraySize] = { 1, 2, 3, 4, 5 };
    const int b[arraySize] = { 10, 20, 30, 40, 50 };
    int c[arraySize] = { 0 };

    // Choose which GPU to run on, change this on a multi-GPU system.
    cudaError_t cudaStatus = cudaSetDevice(0);
    if (cudaStatus != cudaSuccess) {
        fprintf(stderr, "cudaSetDevice failed!  Do you have a CUDA-capable GPU installed?");
        return 1;
    }

    //Allocate src image data
    int srcWidth=1600;
    int srcHeight=1200;
    int srcWidthStep = 0;
    Npp32f* srcImgData = nppiMalloc_32f_C1(srcWidth, srcHeight, &srcWidthStep);

    NppiSize srcSize = {srcWidth, srcHeight};
    nppiSet_32f_C1R(255.0f, srcImgData, srcWidthStep, srcSize);

    //Allocate dst image data
    int dstWidth=720;
    int dstHeight=480;
    int dstWidthStep = 0;
    Npp32f* dstImgData = nppiMalloc_32f_C1(dstWidth, dstHeight, &dstWidthStep);

    NppiSize dstSize = {dstWidth, dstHeight};
    nppiSet_32f_C1R(0.0f, dstImgData, dstWidthStep, dstSize);

    //Not Working
    double coeff[3][3] = {  0.990986,   -0.008086,  733.528174,
                            0.002669,   1.000126,   352.375707,
                            -0.000010,  0.000000,   1.001975, };

    //Working
    /*double coeff[3][3] = {  0.991379,       -0.007775,       722.431470,
                            0.002568,       1.000126,       352.410450,
                            -0.000009,     0.000000,        1.001949 };*/

    //Warp
    cudaStatus = warp(srcImgData, srcSize, srcWidthStep, dstImgData, dstSize, dstWidthStep, coeff);
    if (cudaStatus != cudaSuccess) {
        fprintf(stderr, "Back warp failed!");
        return 1;
    }

    //Copy it to cpu
    int step = 0;
    Npp8u* byteImg = nppiMalloc_8u_C1(dstWidth, dstHeight, &step);
    NppiSize sz = {dstWidth, dstHeight };
    nppiConvert_32f8u_C1R(dstImgData, dstWidthStep, byteImg, step, sz, NPP_RND_NEAR);

    char* cpuImg = (char*)malloc(dstWidth*dstHeight);
    cudaMemcpy2D(cpuImg, dstWidth, byteImg, step, dstWidth, dstHeight, cudaMemcpyDeviceToHost);

    FILE* imgFile = fopen("output.raw", "w");
    fwrite(cpuImg, dstWidth*dstHeight, 1, imgFile);
    fclose(imgFile);

    //Cleanup
    nppiFree(srcImgData);
    nppiFree(dstImgData);
    nppiFree(byteImg);


    cudaStatus = cudaThreadExit();
    if (cudaStatus != cudaSuccess) {
        fprintf(stderr, "cudaThreadExit failed!");
        return 1;
    }

    return 0;
}

cudaError_t warp(Npp32f* srcImg, NppiSize srcSize, int srcWidthStep, Npp32f* dstImg, NppiSize dstSize, int dstWidthStep, double coeff[][3])
{
    int *dev_a = 0;
    int *dev_b = 0;
    int *dev_c = 0;
    cudaError_t cudaStatus;

    NppiRect srcRoi = {0, 0, srcSize.width, srcSize.height};
    NppiRect dstRoi = {0, 0, dstSize.width, dstSize.height};

    cudaStatus= (cudaError_t)nppiWarpPerspectiveBack_32f_C1R(srcImg, srcSize, srcWidthStep, srcRoi,
                                                dstImg, dstWidthStep, dstRoi, coeff, NPPI_INTER_LINEAR);

    if (cudaStatus != cudaSuccess) {
        fprintf(stderr, "nppiWarpPerspectiveBack_32f_C1R returned error code %d !\n", cudaStatus);
        goto Error;
    }




    cudaStatus = cudaDeviceSynchronize();
    if (cudaStatus != cudaSuccess) {
        fprintf(stderr, "cudaDeviceSynchronize returned error code %d after launching addKernel!\n", cudaStatus);
        goto Error;
    }



Error:


    return cudaStatus;
}

Answer 1

NPP在这里发出警告，因为在执行变形之前检查参数时，变换后的srcROI的起始X坐标是732，但是你的dstROI从X坐标0开始，宽度为720.因此，没有后变换目标ROI中的源像素。

nppiWarpPerspectiveBack_32f_C1R问题

1 个答案: