我提取descriptors
然后将它们保存到这样的文件中:
detector->detect(img, imgKpts);
extractor->compute(img, imgKpts, imgMat);
fsKpts << filename << imgMat;
但是当我read
像这样再次回来时:
std::vector<cv::Mat> filesDVec;
cv::Mat temp;
fs[filename] >> temp;
filesDVec.push_back(temp);
并带有加载的图像match
:descriptors
cv::Mat givenIn, givenInMat;
givenIn = cv::imread(dataDirGivenIn, CV_LOAD_IMAGE_GRAYSCALE);
cv::vector<cv::KeyPoint> givenInKpts;
detector->detect(givenIn, givenInKpts);
extractor->compute(givenIn, givenInKpts, givenInMat);
cv::vector<cv::DMatch> matchesVector;
用 2 cv::Mat
s 这样循环:
matcher->match(filesDVec[i], givenInMat, matchesVector);
AKAmatch(Scene, Object, ...)
输出是:(minDist = 100 maxDist = 0
不是一个匹配项)。
但是这样对待他们:
matcher->match(givenInMat, filesDVec[i], matchesVector);
AKAmatch(Object, Scene, ...)
抛出此错误:
opencv error:assertion failed (type == src2.type() && src1.cols == src2.cols && (type == CV_32F || type = CV_8U)) in void cv::batchDistance
我想保存每个图像的描述性信息,以便可以加载它,我做错了什么?
编辑
我要补充一点,这不是尝试匹配和图像自身的情况,因为众所周知,matcher
如果对象和源图像对于测试目的相等,则它不起作用。
编辑 2
文件内容:
Image_0: !!opencv-matrix
rows: 315
cols: 32
dt: u
data: [ 0, 128, 196, 159, 108, 136, 172, 39, 188, 3, 114, 16, 172,
234, 0, 66, 74, 43, 46, 128, 64, 172, 67, 239, 4, 54, 218, 8, 84,
0, 225, 136, 160, 133, 68, 155, 204, 136, 232, 47, 61, 17, 115,
18, 236, 106, 8, 81, 107, 131, 46, 128, 114, 56, 67, 213, 12, 50,
218, 64, 21, 8, 209, 136, 180, 69, 70, 142, 28, 130, 238, 96, 141,
128, 243, 2, 74, 74, 37, 65, 120, 161, 78, 226, 104, 163, 0, 204,
...
etc
读:
std::vector<cv::Mat> filesDVec(imgVec.size());
cv::Mat temp;
cv::FileStorage fs("tileDesc.yml", cv::FileStorage::READ);
for(size_t i = 0; i < (imgVec.size()); i++){
cv::string iValue = std::to_string(i);
cv::string filename = "Image_" + iValue;
fs[filename] >> temp;
filesDVec.push_back(temp);
}
fs.release();