157 lines
6.3 KiB
C++
157 lines
6.3 KiB
C++
#include <cstdio>
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#include <cstdlib>
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#include <cstring>
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#include <chrono>
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#include <iostream>
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#include <csignal>
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#include <sstream>
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#include <Processing.NDI.Lib.h>
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#include <opencv2/core/core.hpp>
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#include <opencv2/opencv.hpp>
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#include <array>
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using namespace std::chrono;
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#ifdef _WIN32
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#ifdef _WIN64
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#pragma comment(lib, "Processing.NDI.Lib.x64.lib")
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#else // _WIN64
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#pragma comment(lib, "Processing.NDI.Lib.x86.lib")
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#endif // _WIN64
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#endif // _WIN32
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static bool is_terminated = false;
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void signalHandler(int signum) {
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// Ctrl+C -> SIGINT
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// SystemD -> SIGTERM
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std::cout << "Interrupt signal (" << signum << ") received.";
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is_terminated = true;
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};
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int main(int argc, char* argv[]) {
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signal(SIGINT, signalHandler);
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signal(SIGTERM, signalHandler);
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// Not required, but "correct" (see the SDK documentation.
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if (!NDIlib_initialize()) {
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return 0;
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}
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// We create the NDI sender
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NDIlib_send_instance_t pNDI_send = NDIlib_send_create();
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if (!pNDI_send) return 0;
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int64_t total_frames_counter = 0;
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// Let's open the video with OpenCV and read it
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std::string path_to_file = "C:\\Users\\ivan\\Source\\Repos\\cv_networking_pipeline\\gstreamer_receive_video\\videos\\camera1-2020-10-14---19-38-42---093390448_scaled.mp4";
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//std::string path_to_file;
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//std::cout << "Please, enter the path to the video_file" << std::endl;
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//std::cin >> path_to_file;
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std::string confirmation;
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while (true) {
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std::cout << "Please, write key y or yes to continue" << std::endl;
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std::cin >> confirmation;
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if ( (confirmation == "y") || (confirmation == "yes") ) {
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break;
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}
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confirmation = "";
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}
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cv::VideoCapture video_file(path_to_file);
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std::cout << "Video File opened" << std::endl;
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cv::Mat frame;
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int cnt = 0;
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while (!is_terminated) {
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// Get the current time
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const auto start_send = high_resolution_clock::now();
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// Send 200 frames
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for (int idx = 200; idx; idx--) {
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// Fill in the buffer. It is likely that you would do something much smarter than this.
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video_file.read(frame);
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//std::cout << "Successfully read video_file" << std::endl;
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//std::cout << "Frame channels is: " << frame.channels() << " " << frame.rows << " " << frame.cols << std::endl;
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//std::cout << frame.total() * frame.channels() << std::endl;
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// from https://stackoverflow.com/questions/26681713/convert-mat-to-array-vector-in-opencv
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// TODO: Seems that the conversion was unseccesful. Understand what really happens when you set the frame.ptr<uint8_t>(0) and what happens when
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// TODO: you make (uint8_t*)malloc(xres * yres * 4)
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uchar* p_data = new uchar[frame.total() * 4];
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cv::Mat continiousRGBA(frame.size(), CV_8UC4, p_data);
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cv::cvtColor(frame, continiousRGBA, CV_BGR2RGBA, 4);
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//uchar* p_data = (uchar*)frame.clone().data;
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//uchar* p_data = (uchar*)frame.ptr(0);
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//std::cout << "Successfully converted frame." << std::endl;
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//std::cout << &p_data[50] << std::endl;
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//for (int i = 0; i < frame.total() * frame.channels(); i++) {
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// std::cout << (int)*(p_data + i) << std::endl;
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//}
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// We are going to create a 1920x1080 interlaced frame at 29.97Hz.
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int xres = 480;
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int yres = 270;
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std::string metadata_string = "<metadata_string " + std::to_string(total_frames_counter) + std::to_string(cnt) + ">";
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// (uint8_t*)malloc(xres * yres * 4) is the frame itself.
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NDIlib_video_frame_v2_t ndi_video_frame(
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xres, yres, NDIlib_FourCC_type_RGBA,
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30000, 1001, 2,
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NDIlib_frame_format_type_progressive,
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0,
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p_data,
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0,
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metadata_string.c_str()
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);
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//std::cout << "Successfully created ndi_video_frame" << std::endl;
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//
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// std::cout << "hi there" << std::endl;
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// std::cout << "xres = " << ndi_video_frame.xres << std::endl;
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// std::cout << "yres = " << ndi_video_frame.yres << std::endl;
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// std::cout << "frame_rate_N = " << ndi_video_frame.frame_rate_N << std::endl;
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// std::cout << "frame_rate_D = " << ndi_video_frame.frame_rate_D << std::endl;
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// std::cout << "picture_aspect_ratio = " << ndi_video_frame.picture_aspect_ratio << std::endl;
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// std::cout << "frame_format_type = " << ndi_video_frame.frame_format_type << std::endl;
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// std::cout << "timecode = " << ndi_video_frame.timecode << std::endl;
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// std::cout << "line_stride_in_bytes = " << ndi_video_frame.line_stride_in_bytes << std::endl;
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// std::cout << "p_metadata = " << ndi_video_frame.p_metadata << std::endl;
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// std::cout << "timestamp = " << ndi_video_frame.timestamp << std::endl;
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//memset((void*)ndi_video_frame.p_data, 0x33, ndi_video_frame.xres * ndi_video_frame.yres * 4);
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ndi_video_frame.timestamp = total_frames_counter;
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ndi_video_frame.timecode = total_frames_counter;
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std::cout << "timestamp and timecode success." << std::endl;
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// memset((void*)ndi_video_frame.p_data, (idx & 1) ? 255 : 0, ndi_video_frame.xres*ndi_video_frame.yres * 4);
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// We now submit the frame. Note that this call will be clocked so that we end up submitting at exactly 29.97fps.
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NDIlib_send_send_video_v2(pNDI_send, &ndi_video_frame);
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std::cout << "Successfully sent frame." << std::endl;
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total_frames_counter += 1;
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//free(ndi_video_frame.p_data);
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// Free the video frame
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// NDIlib_recv_free_video(pNDI_recv, &video_frame);
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// free(ndi_video_frame.p_metadata);
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}
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// Just display something helpful
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printf("200 frames sent, at %1.2ffps\n", 200.0f / duration_cast<duration<float>>(high_resolution_clock::now() - start_send).count());
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cnt++;
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}
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// Destroy the NDI sender
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NDIlib_send_destroy(pNDI_send);
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// Not required, but nice
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NDIlib_destroy();
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// Success
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return 0;
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}
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