Open Source Computer Vision Library https://opencv.org/
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#include <fstream>
#include <opencv2/gapi.hpp>
#include <opencv2/gapi/core.hpp>
#include <opencv2/gapi/gframe.hpp>
#include <opencv2/gapi/oak/oak.hpp>
#include <opencv2/gapi/streaming/format.hpp> // BGR accessor
#include <opencv2/highgui.hpp> // CommandLineParser
const std::string keys =
"{ h help | | Print this help message }"
"{ output | output.h265 | Path to the output .h265 video file }";
#ifdef HAVE_OAK
int main(int argc, char *argv[]) {
cv::CommandLineParser cmd(argc, argv, keys);
if (cmd.has("help")) {
cmd.printMessage();
return 0;
}
const std::string output_name = cmd.get<std::string>("output");
cv::gapi::oak::EncoderConfig cfg;
cfg.profile = cv::gapi::oak::EncoderConfig::Profile::H265_MAIN;
cv::GFrame in;
cv::GArray<uint8_t> encoded = cv::gapi::oak::encode(in, cfg);
auto args = cv::compile_args(cv::gapi::oak::ColorCameraParams{}, cv::gapi::oak::kernels());
auto pipeline = cv::GComputation(cv::GIn(in), cv::GOut(encoded)).compileStreaming(std::move(args));
// Graph execution /////////////////////////////////////////////////////////
pipeline.setSource(cv::gapi::wip::make_src<cv::gapi::oak::ColorCamera>());
pipeline.start();
std::vector<uint8_t> out_h265_data;
std::ofstream out_h265_file;
out_h265_file.open(output_name, std::ofstream::out | std::ofstream::binary | std::ofstream::trunc);
// Pull 300 frames from the camera
uint32_t frames = 300;
uint32_t pulled = 0;
while (pipeline.pull(cv::gout(out_h265_data))) {
if (out_h265_file.is_open()) {
out_h265_file.write(reinterpret_cast<const char*>(out_h265_data.data()),
out_h265_data.size());
}
if (pulled++ == frames) {
pipeline.stop();
break;
}
}
std::cout << "Pipeline finished: " << output_name << " file has been written." << std::endl;
}
#else // HAVE_OAK
int main() {
GAPI_Assert(false && "Built without OAK support");
return -1;
}
#endif // HAVE_OAK