我可能有点晚了，但由于我在 StackOverflow 中没有找到 C++ 和 mjpeg 的完全更新的解决方案，所以考虑写一个新的答案。
现在有一些很好且简单的 C++ 任务库（c++ mjpg Streaming to html）
https://github.com/nadjieb/cpp-mjpeg-streamer https://github.com/nadjieb/cpp-mjpeg-streamer
https://github.com/jacksonliam/mjpg-streamer https://github.com/jacksonliam/mjpg-streamer
https://github.com/codewithpassion/mjpg-streamer/tree/master/mjpg-streamer https://github.com/codewithpassion/mjpg-streamer/tree/master/mjpg-streamer
我发现第一个非常简单。您需要 CMake，并在系统中安装 make。
git clone https://github.com/nadjieb/cpp-mjpeg-streamer.git;
cd cpp-mjpeg-streamer;
mkdir build && cd build;
cmake ../;
make;
sudo make install;
现在，编写流光：
mjpeg_server.cc
#include <opencv2/opencv.hpp>
#include <nadjieb/mjpeg_streamer.hpp>
// for convenience
using MJPEGStreamer = nadjieb::MJPEGStreamer;
int main()
{
cv::VideoCapture cap;
cap.open("demo.mp4");
if (!cap.isOpened())
{
std::cerr << "VideoCapture not opened\n";
exit(EXIT_FAILURE);
}
std::vector<int> params = {cv::IMWRITE_JPEG_QUALITY, 90};
MJPEGStreamer streamer;
// By default 1 worker is used for streaming
// if you want to use 4 workers:
// streamer.start(8080, 4);
streamer.start(8000);
// Visit /shutdown or another defined target to stop the loop and graceful shutdown
while (streamer.isAlive())
{
cv::Mat frame;
cap >> frame;
if (frame.empty())
{
std::cerr << "frame not grabbed\n";
//continue;
exit(EXIT_FAILURE);
}
// http://localhost:8080/bgr
std::vector<uchar> buff_bgr;
cv::imencode(".jpg", frame, buff_bgr, params);
streamer.publish("/bgr", std::string(buff_bgr.begin(), buff_bgr.end()));
cv::Mat hsv;
cv::cvtColor(frame, hsv, cv::COLOR_BGR2HSV);
// http://localhost:8080/hsv
std::vector<uchar> buff_hsv;
cv::imencode(".jpg", hsv, buff_hsv, params);
streamer.publish("/hsv", std::string(buff_hsv.begin(), buff_hsv.end()));
// std::cout<< "published" << std::endl;
}
streamer.stop();
}
写下CMakeLists.txt
cmake_minimum_required(VERSION 3.1)
project(mjpeg_streamer CXX)
find_package(OpenCV 4.2 REQUIRED)
find_package(nadjieb_mjpeg_streamer REQUIRED)
include_directories(${OpenCV_INCLUDE_DIRS})
add_executable(stream_test
"mjpeg_server.cc")
target_compile_features(stream_test PRIVATE cxx_std_11)
target_link_libraries(stream_test PRIVATE nadjieb_mjpeg_streamer::nadjieb_mjpeg_streamer
${OpenCV_LIBS})
| --- mjpeg_server.cc
| --- CMakeLists.txt
| --- ...
| --- build
| --- demo.mp4
| --- ...
现在，我们可以构建流媒体了。
mkdir build && cd build;
cmake ../;
make;
./stream_test
现在，如果你去"http://ip_address:port/bgr" or, "http://ip_address:port/hsv"您应该能够看到该流。就我而言，ip = 192.168.1.7 / localhost，端口 = 8000。
如果你想用另一台服务器抓取流，
index.html
<html>
<body>
<img src="http://localhost:8000/bgr">
<img src="http://localhost:8000/hsv">
</body>
</html>
serve.py
import http.server
import socketserver
class MyHttpRequestHandler(http.server.SimpleHTTPRequestHandler):
def do_GET(self):
if self.path == '/':
self.path = 'index.html'
return http.server.SimpleHTTPRequestHandler.do_GET(self)
# Create an object of the above class
handler_object = MyHttpRequestHandler
PORT = 8080
my_server = socketserver.TCPServer(("", PORT), handler_object)
# Star the server
my_server.serve_forever()
python3 serve.py
最后，尽管它非常简单，但它并不安全。
