[BUG]: cv::Mat to numpy

[pythondever]

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What version (or hash if on master) of pybind11 are you using?

2.11.1

Problem description

Hi everyone I'm a newbie learning C++ and I am trying to convert c++ cv::Mat into python numpy, when I runing code, An exception was encountered. return code: code -1073741819 (0xC0000005) and no more detail
I also tried this solution: https://github.com/pthom/cvnp and #538 but got same exception
How can I solve this problem?

env info:
windows10 msvc 2022 opencv4.5.5 pybind11 2.11.1 python 3.8.10

Reproducible example code

#include <iostream>
// #include "cvnp/cvnp.h"
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <pybind11/numpy.h>
using namespace std;
namespace py = pybind11;
#include <opencv2/opencv.hpp>
using namespace cv;

int main() {
    Mat img = imread("E:/code/cpp_cv/1.jpg",0);
    cout << "into read...." << endl;
    if (img.empty()) {
        cout << "cannot read image...." << endl;
        return 0;
    }
    if (img.isContinuous() != 1) {
        cout << "cannot read image.... is not continuous()" << endl;
        return 0;
    }
    cout << "transform image...." << endl;
    Mat clone_img = img.clone();
    // cvnp::mat_to_nparray(img);
    py::array_t<unsigned char> dst = py::array_t<unsigned char>({ img.rows, img.cols }, clone_img.data);
    return 0;
}

Is this a regression? Put the last known working version here if it is.

Not a regression

[pythondever]

I'm trying to convert vector to python bytes got same runtime exception:

Exception 0xc0000005 encountered at address 0x000000: User-mode data execution prevention (DEP) violation at location 0x00000000

#include <iostream>
#include <pybind11/pybind11.h>
#include <pybind11/numpy.h>
namespace py = pybind11;

std::vector<uint8_t> getImageData() {
    const unsigned int width = 100; //
    const unsigned int height = 100; //
    std::vector<uint8_t> imageData(width * height); //
    for (size_t i = 0; i < imageData.size(); ++i) {
        imageData[i] = 0;
    }
    return imageData;
}

py::bytes get_frame() {
    auto image = getImageData();
    return py::bytes(reinterpret_cast<char*>(image.data()), image.size()); //
}

int main() {
    auto frame = get_frame(); // debug
    return 0;
}