Reputation: 819
I'm trying to convert my matrix into CV_32FC1 to train my SVM.I always get the error msg:
OpenCV Error: Assertion failed (func != 0) in convertTo, file /opt/opencv/modules/core/src/convert.cpp, line 1115
/eropt/opencv/modules/core/src/convert.cpp:1115: error: (-215) func != 0 in function convtTo
Basically I'm trying to
Mat eyes_train_data = Mat::zeros(Eyes.features.size(), CV_32FC1);
Eyes.features.copyTo(eyes_train_data);
eyes_train_data.convertTo(eyes_train_data, CV_32FC1);
I already tried to get the depth() of the matrix which returns 7
. I'm not sure what that means. the Eyes.features
matrix is a (or should be) a floating-point matrix
to get the Eyes.features
i use a gotHogFeatures-Method with
vector<float> descriptorsValues;
vector<Point> location;
for( Mat patch : patches) {
hog.compute( patch, descriptorsValues, Size(0,0), Size(0,0), location);
features.push_back(descriptorsValues);
}
descriptorValues represents a row vector and features should than look like:
features:
{
descriptorValues0
descriptorValues1
...
}
thanks for any help.
Upvotes: 0
Views: 992
Reputation: 41765
Your conversion code doesn't seems right. It should be something like:
Mat eyes_train_data;
eyes_train_data.convertTo(eyes_train_data, CV_32FC1);
What's the type of Eyes.features
?
It seems that it should be already a Mat1f
. However, are you sure that features.push_back
works as expected? It seems that push_back
needs a const Mat& m
.
You can get a row matrix from a vector:
Mat1f m;
vector<float> v1 = {1.f, 1.5f, 2.1f};
vector<float> v2 = {3.f, 3.5f, 4.1f};
Mat temp1(Mat1f(v1).t());
Mat temp2(Mat1f(v2).t());
m.push_back(temp1);
m.push_back(temp2);
Upvotes: 2