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Open Source Computer Vision Library
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61 lines
1.9 KiB
61 lines
1.9 KiB
3 years ago
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#include <fstream>
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#include <opencv2/gapi.hpp>
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#include <opencv2/gapi/core.hpp>
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#include <opencv2/gapi/gframe.hpp>
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#include <opencv2/gapi/oak/oak.hpp>
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#include <opencv2/gapi/streaming/format.hpp> // BGR accessor
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#include <opencv2/highgui.hpp> // CommandLineParser
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const std::string keys =
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"{ h help | | Print this help message }"
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"{ output | output.h265 | Path to the output .h265 video file }";
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int main(int argc, char *argv[]) {
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cv::CommandLineParser cmd(argc, argv, keys);
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if (cmd.has("help")) {
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cmd.printMessage();
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return 0;
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}
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const std::string output_name = cmd.get<std::string>("output");
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cv::gapi::oak::EncoderConfig cfg;
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cfg.profile = cv::gapi::oak::EncoderConfig::Profile::H265_MAIN;
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cv::GFrame in;
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cv::GArray<uint8_t> encoded = cv::gapi::oak::encode(in, cfg);
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auto args = cv::compile_args(cv::gapi::oak::ColorCameraParams{}, cv::gapi::oak::kernels());
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auto pipeline = cv::GComputation(cv::GIn(in), cv::GOut(encoded)).compileStreaming(std::move(args));
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// Graph execution /////////////////////////////////////////////////////////
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pipeline.setSource(cv::gapi::wip::make_src<cv::gapi::oak::ColorCamera>());
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pipeline.start();
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std::vector<uint8_t> out_h265_data;
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std::ofstream out_h265_file;
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out_h265_file.open(output_name, std::ofstream::out | std::ofstream::binary | std::ofstream::trunc);
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// Pull 300 frames from the camera
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uint32_t frames = 300;
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uint32_t pulled = 0;
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while (pipeline.pull(cv::gout(out_h265_data))) {
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if (out_h265_file.is_open()) {
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out_h265_file.write(reinterpret_cast<const char*>(out_h265_data.data()),
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out_h265_data.size());
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}
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if (pulled++ == frames) {
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pipeline.stop();
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break;
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}
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}
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std::cout << "Pipeline finished: " << output_name << " file has been written." << std::endl;
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}
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