Hello I have a Problem with my implementation of haar face detection with the use of OpenCL.
I tried the exact same Code with the use of a CPU based Approach and it worked but a bit slow in realtime, so I want to make it faster with OCL. when I call the cascade.detectMultiScale function the program crashes with the following error: OpenCV Error: Null pointer (Invalid classifier cascade) in cv::ocl::OclCascadeClassifier::oclHaarDetectObjects, file C:\builds\2_4_PackSlave-win32-vc12-shared\opencv\modules\ocl\src\haar.cpp, line 686
Code:
int main(int argc, const char** argv)
{
string cascadeName = "haarcascade_frontalface_alt.xml";
VideoCapture cap(0);
Mat frame, frameCopy, image;
ocl::oclMat gpu_mat;
ocl::OclCascadeClassifier cascade;
cv::CascadeClassifier cpu_cascade;
if (!cascade.load(cascadeName) || !cpu_cascade.load(cascadeName))
{
cout << "ERROR: Could not load classifier cascade: " << cascadeName << endl;
return EXIT_FAILURE;
}
if (!cap.isOpened())
cout << "Capture from CAM 0 didn't work" << endl;
namedWindow("result", WINDOW_AUTOSIZE);
while (1)
{
cap.read(frame);
vector faces;
if (frame.empty())
break;
cvtColor(frame,frame, CV_BGR2GRAY);
equalizeHist(frame, frame);
gpu_mat.upload(frame);
cascade.detectMultiScale(gpu_mat, faces, 1.1,
3, 0
| CV_HAAR_SCALE_IMAGE
, Size(30, 30), Size(0, 0));
/*cpu_cascade.detectMultiScale(frame, faces, 1.15,
3, 0
| CV_HAAR_SCALE_IMAGE
, Size(30, 30), Size(0, 0));*/
gpu_mat.download(frame);
for (int i = 0; i < faces.size(); i++)
{
Rect face = faces[i];
rectangle(frame, Point(face.x, face.y), Point(face.x + face.width, face.y + face.height),
Scalar(255, 0, 0), 1, 4);
}
imshow("result", frame);
if (cv::waitKey(1) >= 0)
break;
}
cap.release();
cvDestroyWindow("result");
return 0;
}
Maybe someone can help me.
Thanks
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