Any one run SqueezeNet by opencv dnn module??

[chibai]

I tried to run SqueezeNet in opencv dnn module
but i got the opencv error
Assertion failed <dim <= 2> in cv::Mat::reshape..............................

Anyone succesfully run squeezeNet in opencv dnn module??!!

[chibai]

#include <opencv2\opencv.hpp>
#include <opencv2\dnn.hpp>
#include
#include
#include

using namespace std;
using namespace cv;
using namespace cv::dnn;

int main()
{
//input
string classNameFile = "synset_words.txt";
String imageFile = "1.jpg";
String modelTxt = "deploy.prototxt";
String modelBin = "squeezenet_v1.0.caffemodel";
// image preprocessing
Mat img = imread(imageFile);
if (img.empty())
{
cerr << "fail to load the image" << endl;
exit(-1);
}
resize(img, img, Size(227, 227));
//read class name syssets word
vector className;
string name;
ifstream fp(classNameFile);
if (!fp.is_open())
{
cerr << "fail to load the class names";
}
while (!fp.eof())
{
getline(fp, name);
if (name.length())
{
className.push_back(name.substr(name.find(' ') + 1));
}
}
fp.close();
//load caffe model
cv::dnn::initModule();
Net CaffeNet = dnn::readNetFromCaffe(modelTxt, modelBin);
if (CaffeNet.empty())
{
cerr << "fail to load model" << endl;
exit(-1);
}
// forward pass
dnn::Blob imgBlob = dnn::Blob::fromImages(img);
CaffeNet.setBlob(".data", imgBlob);
CaffeNet.forward();
dnn::Blob probBlob = CaffeNet.getBlob("prob");
Mat proMat = probBlob.matRefConst().reshape(1, 1);
//

return 0;

}

this is the full code, and the problem comes from the last line
Mat proMat = probBlob.matRefConst().reshape(1, 1);

[chibai]

I somehow solved this by probBlob.getPlane（）function
but still do not know why probBlob.matRefConst() didn't work

[ZhangXinNan]

@chibai I download pre-built opencv 3.4.3 on my windows 10. But init_module is not the member of cv::dnn .

[chibai]

@chibai I download pre-built opencv 3.4.3 on my windows 10. But init_module is not the member of cv::dnn .

API always changed. Please refer the newest version https://github.com/opencv/opencv/blob/master/samples/dnn/classification.cpp