继续我的计算机视觉方面的工作,我要为 N 个相机中的一个补丁计算描述符。 问题是当我计算描述符时,OpenCV 中的函数是
descriptor.compute(image, vecKeypoints, matDescriptors);
其中 vecKeypoints 是 cv::KeyPoints
的 vector ,matDescriptors 是一个 cv::Mat
,根据 OpenCV 的文档,它会填充计算的描述符。
因为我有 N 个摄像头,我为每个摄像头计算了几个描述符,所以我为每个 N 个摄像头存储了 K 个描述符。因此我创建了一个描述符 vector (即矩阵)
std::vector<cv::Mat> descriptors;
在每次迭代中,我计算一个新的 matDescriptors 并将其推送到 vector descriptors
。我看到的问题是,每个 matDescriptors 的数据存储地址对于 vector descriptors
据我所知,当我执行 vector.push_back(arg)
时,生成了 arg 的拷贝并将其存储在 vector 中,那么,为什么我有相同的地址? &(descriptors[0].data)
不应该与 &(descriptors[1].data)
不同吗?
这是代码的一般 View
std::vector<Pixel> patchPos;
std::vector<Pixel> disparityPatches;
//cv::Ptr<cv::DescriptorExtractor> descriptor = cv::DescriptorExtractor::create("ORB");
cv::ORB descriptor(0, 1.2f, 8, 0);
std::vector<cv::Mat> camsDescriptors;
std::vector<cv::Mat> refsDescriptors;
uint iPatchV = 0;
uint iPatchH = 0;
// FOR EACH BLOCK OF PATCHES (there are 'blockSize' patches in one block)
for (uint iBlock = 0; iBlock < nBlocks; iBlock++)
{
// FOR EACH PATCH IN THE BLOCK
for(uint iPatch = iBlock*blockSize; iPatch < (iBlock*blockSize)+blockSize; iPatch++)
{
// GET THE POSITION OF THE upper-left CORNER(row, col) AND
// STORE THE COORDINATES OF THE PIXELS INSIDE THE PATCH
for (uint pRow = (iPatch*patchStep)/camRef->getWidth(), pdRow = 0; pRow < iPatchV+patchSize; pRow++, pdRow++)
{
for (uint pCol = (iPatch*patchStep)%camRef->getWidth(), pdCol = 0; pCol < iPatchH+patchSize; pCol++, pdCol++)
{
patchPos.push_back(Pixel(pCol, pRow));
}
}
// KEYPOINT TO GET THE DESCRIPTOR OF THE CURRENT PATCH IN THE REFERENCE CAMERA
std::vector<cv::KeyPoint> refPatchKeyPoint;
// patchCenter*patchSize+patchCenter IS the index of the center pixel after 'linearizing' the patch
refPatchKeyPoint.push_back(cv::KeyPoint(patchPos[patchCenter*patchSize+patchCenter].getX(),
patchPos[patchCenter*patchSize+patchCenter].getY(), patchSize));
// COMPUTE THE DESCRIPTOR OF THE PREVIOUS KEYPOINT
cv::Mat d;
descriptor.compute(Image(camRef->getHeight(), camRef->getWidth(), CV_8U, (uchar*)camRef->getData()),
refPatchKeyPoint, d);
refsDescriptors.push_back(d); // This is OK, address X has data of 'd'
//FOR EVERY OTHER CAMERA
for (uint iCam = 0; iCam < nTotalCams-1; iCam++)
{
//FOR EVERY DISPARITY LEVEL
for (uint iDispLvl = 0; iDispLvl < disparityLevels; iDispLvl++)
{
...
...
//COMPUTE THE DISPARITY FOR EACH OF THE PIXEL COORDINATES IN THE PATCH
for (uint iPatchPos = 0; iPatchPos < patchPos.size(); iPatchPos++)
{
disparityPatches.push_back(Pixel(patchPos[iPatchPos].getX()+dispNodeX, patchPos[iPatchPos].getY()+dispNodeY));
}
}
// KEYPOINTS TO GET THE DESCRIPTORS OF THE 50.DISPAIRED-PATCHES IN CURRENT CAMERA
...
...
descriptor.compute(Image(camList[iCam]->getHeight(), camList[iCam]->getWidth(), CV_8U, (uchar*)camList[iCam]->getData()),
camPatchKeyPoints, d);
// First time this executes is OK, address is different from the previous 'd'
// Second time, the address is the same as the previously pushed 'd'
camsDescriptors.push_back(d);
disparityPatches.clear();
camPatchKeyPoints.clear();
}
}
}
最佳答案
Mat 是某种像素的智能指针,因此 Mat a=b 将具有 a 和 b 的共享像素。 push_back() 的类似情况
如果您需要“深拷贝”,请使用 Mat::clone()
关于c++ - std::cv::Mat 的 vector ,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/19523700/