Baumer工业相机堡盟相机如何通过OpenCV直接使用图像数据进行图像显示（C++）

#include <opencv2/core/core.hpp>
#include <opencv2/highgui/highgui.hpp>
#include<opencv2\opencv.hpp>

#pragma comment(lib, "opencv_world341.lib")
#pragma comment(lib, "opencv_world341d.lib")

void* buffer_pointer = buffer_filled->GetMemPtr();
uint64_t buffer_size = buffer_filled->GetSizeFilled();
BGAPI2::Image* image = image_processor->CreateImage(image_width, image_height,
    pixel_format, buffer_pointer, buffer_size);
CheckAndFixRoi(&roi, image_width, image_height);
#if USE_OPENCV
// Display the image
if (pixel_format == "Mono8") {
    ShowImage(buffer_pointer, image_width, image_height, CV_8UC1, &roi);
} else {
    // Convert to BGR8
    const size_t size = static_cast<size_t>(image->GetTransformBufferLength("BGR8"));
    char* mem_buffer = new char[size];
    if (mem_buffer) {
        image_processor->TransformImageToBuffer(image, "BGR8", mem_buffer, size);
        ShowImage(mem_buffer, image_width, image_height, CV_8UC3, &roi);
        delete[] mem_buffer;
    }
}
#endif
#ifdef USE_OPENCV  // OpenCV
//---------------------------------------------------------------------------------------------------------------------
// If the example is compiled with OpenCV this method is used to show the images from the camera
void ShowImage(void* buffer, int64_t width, int64_t height, int type, ROI* roi) {
  cv::Mat img(static_cast<int>(height), static_cast<int>(width), type, buffer, cv::Mat::AUTO_STEP);
    if (roi) {
        cv::rectangle(
            img,
            cv::Point(static_cast<int>(roi->x + 1), static_cast<int>(roi->y + 1)),
            cv::Point(static_cast<int>(roi->x + roi->width - 2), static_cast<int>(roi->y + roi->height - 2)),
            cv::Scalar(255, 0, 255),
            3
        );
    }
    static int showtest = 0;
    if (!showtest++) {
        cv::namedWindow("Test Image", cv::WINDOW_NORMAL);
        cv::moveWindow("Test Image", 100, 100);
        cv::resizeWindow("Test Image", 1000, 800);
    }
    cv::imshow("Test Image", img);
    cv::waitKey(1);
}
#endif  // USE_OPENCV   // OpenCV
// Checks, if the choosen Region of Interest fits the camera sensor.
// If it is outside the sensor, it will be reduced to fit.
bool CheckAndFixRoi(ROI* roi, int64_t width, int64_t height) {
    bool result = false;
    if (roi) {
        result = true;
        if (roi->x <= 0) {
            result = false;
            roi->x = 0;
        }
        if (roi->y <= 0) {
            result = false;
            roi->y = 0;
        }
        if (roi->width <= 0 || roi->width > width - roi->x) {
            result = false;
            roi->width = width - roi->x;
        }
        if (roi->height <= 0 || roi->height > height - roi->y) {
            result = false;
            roi->height = height - roi->y;
        }
    }
    return result;
}
// This example uses a Software Trigger to get images from the camera. This method will trigger regularly using 
// a separate thread to trigger and calculate in parallel.
void SoftwareTriggerThread(BGAPI2::Device* device, int64_t time_delay) {
    std::this_thread::sleep_for(std::chrono::milliseconds(time_delay));
    device->GetRemoteNode("TriggerSoftware")->Execute();
}