nihui 写的:https://github.com/Tencent/ncnn/wiki/use-ncnn-with-opencv
1、cv::Mat转ncnn::Mat
cv::Mat bgr = cv::Mat(img_h,img_w,CV_8UC3);
ncnn::Mat in = ncnn::Mat::from_pixels_resize(bgr.data, ncnn::Mat::PIXEL_BGR2RGB, img_w, img_h, w, h);
2、ncnn::Mat 转 cv::Mat
ncnn::Mat in_pad;
ncnn::copy_make_border(in, in_pad, hpad / 2, hpad - hpad / 2, wpad / 2, wpad - wpad / 2, ncnn::BORDER_CONSTANT, 114.f);
(1)uchar
cv::Mat Mat1(in_pad.h, in_pad.w, CV_8UC3);
in_pad.to_pixels(Mat1.data, ncnn::Mat::PIXEL_BGR2RGB);
(2)float
const float norm_vals[3] = { 1 / 255.f, 1 / 255.f, 1 / 255.f };const float mean_vals[3] = { 0.f, 0.f, 0.f };
in_pad.substract_mean_normalize(mean_vals, norm_vals);cv::Mat Mat2(in_pad.h, in_pad.w, CV_32FC3);
float *pMat2Data = Mat2.ptr<float>(0);
for (int c = 0; c < 3; c++) {
int idx = 0;
for (int i = 0; i < in_pad.h; i++)
{
for (int j = 0; j < in_pad.w; j++)
{
float t = ((float*)in_pad.data)[j + i * in_pad.w + c * in_pad.h * in_pad.w];
*(pMat2Data+2-c+idx) = t;
idx += 3;
}
}
}
原文链接: https://www.cnblogs.com/WenJXUST/p/16105792.html
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