C++ Realsense openCV facedetection - access - c++

Question

I am new to Realsense & C++. I know this question might be easy on.
However, I cannot solve this even I searched half of day.
I am trying to use Realsense with OpenCV face detection(Haarcascade).
But when I use 'face_cascade,detectMultiScale', the project gets access violation error.
(just like the picture underneath)
and my codes are this :
// License: Apache 2.0.See LICENSE file in root directory.
// Copyright(c) 2017 Intel Corporation. All Rights Reserved.
#include <rs.hpp> // Include RealSense Cross Platform API
#include <opencv2/opencv.hpp> // Include OpenCV API
#include "opencv2/objdetect.hpp"
#include "opencv2/videoio.hpp"
#include "opencv2/highgui.hpp"
#include "opencv2/imgproc.hpp"
using namespace std;
using namespace cv;
//String face_cascade_name;
CascadeClassifier face_cascade;
string window_name = "Face detection";
void detectAndDisplay(Mat frame)
{
std::vector<Rect> faces;
Mat frame_gray;
cvtColor(frame, frame_gray, COLOR_BGR2GRAY);
equalizeHist(frame_gray, frame_gray);
if (frame.empty()) {
printf("error, no data");
}
else {
printf("no problem");
}
//face_cascade.detectMultiScale(frame_gray, faces, 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(30, 30));
face_cascade.detectMultiScale(frame_gray, faces , 1.1, 2, 0 | CASCADE_SCALE_IMAGE, Size(500, 500));
for (size_t i = 0; i < faces.size(); i++)
{
Point center(faces[i].x + faces[i].width / 2, faces[i].y + faces[i].height / 2);
ellipse(frame, center, Size(faces[i].width / 2, faces[i].height / 2),
0, 0, 360, Scalar(0, 0, 255), 4, 8, 0);
}
imshow(window_name, frame);
}
int main(int argc, char * argv[]) try
{
// Declare depth colorizer for pretty visualization of depth data
rs2::colorizer color_map;
// Declare RealSense pipeline, encapsulating the actual device and sensors
rs2::pipeline pipe;
face_cascade.load("C:\\opencv\\sources\\data\\haarcascades\\haarcascade_frontalface_alt.xml");
//if (!face_cascade.load(face_cascade_name)) { printf("--(!)Error loading face cascade\n"); };
// Start streaming with default recommended configuration
pipe.start();
const auto window_name = "Display Image";
namedWindow(window_name, WINDOW_AUTOSIZE);
while (waitKey(1) < 0 && cvGetWindowHandle(window_name))
{
rs2::frameset data = pipe.wait_for_frames(); // Wait for next set of frames from the camera
//rs2::frame depth = color_map(data.get_depth_frame());
rs2::frame color = data.get_color_frame();
// Query frame size (width and height)
//const int w = depth.as<rs2::video_frame>().get_width();
//const int h = depth.as<rs2::video_frame>().get_height();
const int color_w = color.as<rs2::video_frame>().get_width();
const int color_h = color.as<rs2::video_frame>().get_height();
// Create OpenCV matrix of size (w,h) from the colorized depth data
//Mat image(Size(w, h), CV_8UC3, (void*)depth.get_data(), Mat::AUTO_STEP);
Mat image(Size(color_w, color_h), CV_8UC3, (void*)color.get_data(), Mat::AUTO_STEP);
// Update the window with new data
//imshow(window_name, image);
detectAndDisplay(image);
}
return EXIT_SUCCESS;
}
catch (const rs2::error & e)
{
std::cerr << "RealSense error calling " << e.get_failed_function() << "(" << e.get_failed_args() << "):\n " << e.what() << std::endl;
return EXIT_FAILURE;
}
catch (const std::exception& e)
{
std::cerr << e.what() << std::endl;
return EXIT_FAILURE;
}
enter code here