如何读取由 cv::FileStorage 编写的 opencv3.0 的 xml 文件的数据,我使用了此 [post][1] 中的相同解决方案,但无济于事。
错误信息是
"C:\Users\yyyy\Qt\3rdLibs\opencv\opencv-3.0.0\sources\modules\core\src\persistence.cpp:739: error: (-2) 节点既不是 map 也不是函数 cvGetFileNodeByName 中的一个空集合”
代码:写
auto rtrees = cv::ml::RTrees::create();
rtrees->setMaxDepth(10);
rtrees->setMinSampleCount(2);
rtrees->setRegressionAccuracy(0);
rtrees->setUseSurrogates(false);
rtrees->setMaxCategories(16);
rtrees->setPriors(cv::Mat());
rtrees->setCalculateVarImportance(false);
rtrees->setActiveVarCount(0);
rtrees->setTermCriteria({cv::TermCriteria::MAX_ITER, 100, 0});
rtrees->train(features_.reshape(1, labels_.size()),
cv::ml::ROW_SAMPLE, labels_);
rtrees->write(cv::FileStorage("smoke_classifier.xml",
cv::FileStorage::WRITE));
Codes : read
using namespace cv::ml;
cv::FileStorage read("smoke_classifier.xml",
cv::FileStorage::READ);
rtrees->read(read.getFirstTopLevelNode());
知道发生了什么事吗?如何从 xml 文件加载数据?谢谢
最佳答案
你应该使用:
rtrees->read(read.root());
测试代码
#include <opencv2\opencv.hpp>
using namespace cv;
using namespace std;
int main()
{
{
auto rtrees = cv::ml::RTrees::create();
rtrees->setMaxDepth(10);
rtrees->setMinSampleCount(2);
rtrees->setRegressionAccuracy(0);
rtrees->setUseSurrogates(false);
rtrees->setMaxCategories(16);
rtrees->setPriors(cv::Mat());
rtrees->setCalculateVarImportance(false);
rtrees->setActiveVarCount(0);
rtrees->setTermCriteria({ cv::TermCriteria::MAX_ITER, 100, 0 });
// Some dummy stuff here...
Mat1f feat(1, 5, 0.f);
Mat1f labels = (Mat1f(1, 5) << 1, 0, 1, 0, 1);
rtrees->train(feat, cv::ml::ROW_SAMPLE, labels);
rtrees->write(cv::FileStorage("smoke_classifier.xml",
cv::FileStorage::WRITE));
}
{
auto rtrees2 = cv::ml::RTrees::create();
cv::FileStorage read("smoke_classifier.xml", cv::FileStorage::READ);
rtrees2->read(read.root());
int a = rtrees2->getMinSampleCount();
}
return 0;
}
关于c++ - 写入和读取opencv3.0 ml文件(随机森林),我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/31760824/