我想代码OpenCV写文本一个网络摄像头视频和发送UDP与GST库[关闭]

fdx2calv  于 2023-10-24  发布在  其他
关注(0)|答案(1)|浏览(123)

已关闭。此问题需要更focused。目前不接受答案。
**想要改进此问题吗?**更新问题,使其仅关注editing this post的一个问题。

2天前关闭。
Improve this question
我写了这段代码并尝试了其他功能,但我不能实现这个场景。我该怎么办?问题是在代码,方法还是库中?

#include <gst/gst.h>
#include <opencv2/opencv.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/imgproc/imgproc.hpp>
#include <gst/app/gstappsrc.h>

int main(int argc, char* argv[]) {
    // Initialize GStreamer
    gst_init(&argc, &argv);

    // Create a GStreamer pipeline
    GstElement* pipeline = gst_parse_launch("v4l2src device=/dev/video0 ! videoconvert ! video/x-raw,format=BGR ! appsink", NULL);

    // Check if the pipeline was created successfully
    if (!pipeline) {
        g_print("Pipeline could not be created. Exiting.\n");
        return -1;
    }

    // Set the pipeline state to playing
    GstStateChangeReturn ret = gst_element_set_state(pipeline, GST_STATE_PLAYING);
    if (ret == GST_STATE_CHANGE_FAILURE) {
        g_print("Unable to set the pipeline to the playing state. Exiting.\n");
        return -1;
    }

    // OpenCV VideoCapture for video capture
    cv::VideoCapture cap;

    if (!cap.open("appsrc ! videoconvert ! video/x-raw, format=YUY2,width=640,height=480,framerate=25/1 ! jpegenc ! rtpjpegpay ! appsink ! udpsink host=192.168.1.14 port=5000")) {
        std::cerr << "Error: Could not open OpenCV VideoCapture." << std::endl;
        return -1;
    }

    cv::Mat frame;
    cv::Scalar text_color(0, 255, 0); // Text color (BGR)
    int font = cv::FONT_HERSHEY_SIMPLEX;
    double font_scale = 1.0;
    int font_thickness = 2;
    std::string text = "Hello, GStreamer!";

    while (true) {
        if (!cap.read(frame)) {
            std::cerr << "Error: Could not read frame from OpenCV VideoCapture." << std::endl;
            break;
        }

        // Add text to the video frame using OpenCV
        cv::putText(frame, text, cv::Point(10, 50), font, font_scale, text_color, font_thickness);

        // Display the processed frame using OpenCV
        cv::imshow("Processed Frame", frame);
        cv::waitKey(1);

        // Convert the OpenCV frame to GStreamer format
        GstBuffer* buffer = gst_buffer_new_allocate(NULL, frame.total() * frame.elemSize(), NULL);
        GstMapInfo map_info;
        gst_buffer_map(buffer, &map_info, GST_MAP_WRITE);
        memcpy(map_info.data, frame.data, frame.total() * frame.elemSize());
        gst_buffer_unmap(buffer, &map_info);

        // Push the frame into the GStreamer pipeline
        GstFlowReturn ret = gst_app_src_push_buffer(GST_APP_SRC(gst_bin_get_by_name(GST_BIN(pipeline), "appsrc")), buffer);
        if (ret != GST_FLOW_OK) {
            g_print("Error pushing frame to GStreamer pipeline. Exiting.\n");
            break;
        }
    }

    // Clean up
    cv::destroyAllWindows();

    gst_element_set_state(pipeline, GST_STATE_NULL);
    gst_object_unref(pipeline);

    return 0;
}

我得到这个错误:
(gstreaming_and_opencv_driver:19685):GStreamer-CRITICAL**:15:24:59.492:gst_caps_get_structure:Assert“GST_IS_CAPS(caps)”失败
(gstreaming_and_opencv_driver:19685):GStreamer-CRITICAL**:15:24:59.492:gst_structure_get_int:assertion 'structure!= NULL' failed [ WARN:email protected(https://stackoverflow.com/cdn-cgi/l/email-protection) ] global cap_gstreamer.cpp:1707 open OpenCV| GStreamer警告:无法查询视频宽度/高度
(gstreaming_and_opencv_driver:19685):GStreamer-CRITICAL**:15:24:59.492:gst_structure_get_fraction:assertion 'structure!= NULL' failed [ WARN:email protected(https://stackoverflow.com/cdn-cgi/l/email-protection) ] global cap_gstreamer.cpp:1713 open OpenCV| GStreamer warning:cannot query video fps [ WARN:email protected(https://stackoverflow.com/cdn-cgi/l/email-protection) ] global cap_gstreamer.cpp:1728 open OpenCV| GStreamer警告:无法查询视频位置:状态=0,值=-1,持续时间=-1
我试着写一个文本的网络摄像头视频与opencv和发送与udp的gst库。

k10s72fa

k10s72fa1#

我不确定你的确切目标是什么,但假设你想从默认输出原始视频的摄像机0读取帧(否则使用v4 l2-ctl -d 0--list-formats-ext并在捕获管道中的v4 l2 src之后指定视频caps),然后将一些文本和流结果作为RTP/JPEG通过UDP/5000覆盖到IP为192.168.1.14的客户端,那么你可以做到这一点:

1.使用gstreamer命令行:

gst-launch-1.0 v4l2src device=/dev/video0 ! videoscale ! video/x-raw,width=640,height=480,pixel-aspect-ratio=1/1 ! videoconvert ! videorate ! video/x-raw,framerate=25/1 ! textoverlay text="Hello, Gstreamer" valignment=2 deltax=-200 color=4278255360 ! queue ! videoconvert ! video/x-raw,format=YUY2 !  jpegenc ! rtpjpegpay ! udpsink host=192.168.1.14 port=5000

2.或者使用OpenCv,从V4 L摄像头捕获到OpenCv,以及用于流式输出的writer,例如:

#include <opencv2/opencv.hpp>
#include <opencv2/videoio.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/imgproc.hpp>

int main(int argc, char* argv[]) {

    // Create OpenCV VideoCapture for reading video from camera 
    cv::VideoCapture cap("v4l2src device=/dev/video0 ! videoscale ! video/x-raw,width=640,height=480,pixel-aspect-ratio=1/1 ! videoconvert ! video/x-raw,format=BGR ! videorate ! video/x-raw,framerate=25/1 ! appsink drop=1", cv::CAP_GSTREAMER);
    if (!cap.isOpened()) {
        std::cerr << "Error failed to open camera" << std::endl;
        return -1;
    }
    unsigned int width = (unsigned int) cap.get(cv::CAP_PROP_FRAME_WIDTH);
    unsigned int height = (unsigned int) cap.get(cv::CAP_PROP_FRAME_HEIGHT);
    double fps = cap.get(cv::CAP_PROP_FPS);
    std::cout << "Capture input opened, Ffaming: " << width << " x " << height << " @" << fps << " FPS" << std::endl;

    // OpenCV VideoWriter to RTP/JPG streaming to client 192.168.1.14 over UDP/5000
    cv::VideoWriter streamer("appsrc ! queue ! video/x-raw,format=BGR ! videoconvert ! video/x-raw,format=YUY2 !  jpegenc ! rtpjpegpay ! udpsink host=192.168.1.14 port=5000", cv::CAP_GSTREAMER, 0, (float)fps, cv::Size(width, height));
    if (!streamer.isOpened()) {
        std::cerr << "Error: Failed to open streamer writer." << std::endl;
        return -2;
    }
    std::cout << "streamer opened, ready for streaming to client 192.168.1.14 over UDP/5000" << std::endl;

    cv::Scalar text_color(0, 255, 0); // Text color (BGR)
    int font = cv::FONT_HERSHEY_SIMPLEX;
    double font_scale = 1.0;
    int font_thickness = 2;
    std::string text = "Hello, GStreamer!";
    
    cv::Mat frame;
    while (true) {
        if (!cap.read(frame)) {
            std::cerr << "Error: Could not read frame from OpenCV VideoCapture." << std::endl;
            break;
        }

        // Add text to the video frame using OpenCV
        cv::putText(frame, text, cv::Point(10, 50), font, font_scale, text_color, font_thickness);

        streamer.write(frame);
    
        // Display the processed frame using OpenCV
        cv::imshow("Processed Frame", frame);
        cv::waitKey(1);
    }

    // Clean up
    cv::destroyAllWindows();

    return 0;
}

相关问题