OpenCv dnn 多线程优化例子

非常感谢您的提问。以下是一个 OpenCV DNN 多线程优化的例子：

#include <opencv2/opencv.hpp>
#include <opencv2/dnn.hpp>
#include <thread>

using namespace cv;
using namespace cv::dnn;

void worker(Net net, Mat input, Mat& output)
{
    net.setInput(input);
    output = net.forward();
}

int main()
{
    // Load the model
    Net net = readNetFromCaffe("model.prototxt", "model.caffemodel");

    // Load the input image
    Mat input = imread("input.jpg");

    // Create output matrices for each thread
    std::vector<Mat> outputs(4);

    // Create threads and run inference
    std::vector<std::thread> threads;
    for (int i = 0; i < 4; i++)
    {
        threads.emplace_back(worker, net, input, std::ref(outputs[i]));
    }

    // Wait for all threads to finish
    for (auto& thread : threads)
    {
        thread.join();
    }

    // Merge the output matrices
    Mat output;
    cv::hconcat(outputs, output);

    // Display the output
    imshow("Output", output);
    waitKey(0);

    return 0;
}

希望这个例子能够帮助您。如果您有任何其他问题，请随时问我。