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189 lines
5.5 KiB
C++
189 lines
5.5 KiB
C++
#include "opencv2/objdetect.hpp"
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#include "opencv2/imgproc.hpp"
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#include "opencv2/highgui.hpp"
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#include <string>
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#include <iostream>
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using namespace std;
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using namespace cv;
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void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform);
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void getMatWithFPS(Mat &color_image, double fps);
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int liveQRCodeDetect();
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int showImageQRCodeDetect(string in, string out);
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int main(int argc, char *argv[])
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{
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const string keys =
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"{h help ? | | print help messages }"
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"{i in | | input path to file for detect (with parameter - show image, otherwise - camera)}"
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"{o out | | output path to file (save image, work with -i parameter) }";
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CommandLineParser cmd_parser(argc, argv, keys);
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cmd_parser.about("This program detects the QR-codes from camera or images using the OpenCV library.");
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if (cmd_parser.has("help"))
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{
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cmd_parser.printMessage();
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return 0;
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}
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string in_file_name = cmd_parser.get<string>("in"); // input path to image
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string out_file_name = cmd_parser.get<string>("out"); // output path to image
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if (!cmd_parser.check())
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{
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cmd_parser.printErrors();
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return -1;
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}
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int return_code = 0;
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if (in_file_name.empty())
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{
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return_code = liveQRCodeDetect();
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}
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else
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{
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return_code = showImageQRCodeDetect(in_file_name, out_file_name);
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}
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return return_code;
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}
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void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform)
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{
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if (!transform.empty())
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{
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double show_radius = (color_image.rows > color_image.cols)
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? (2.813 * color_image.rows) / color_image.cols
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: (2.813 * color_image.cols) / color_image.rows;
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double contour_radius = show_radius * 0.4;
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vector< vector<Point> > contours;
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contours.push_back(transform);
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drawContours(color_image, contours, 0, Scalar(211, 0, 148), cvRound(contour_radius));
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RNG rng(1000);
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for (size_t i = 0; i < 4; i++)
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{
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Scalar color = Scalar(rng.uniform(0,255), rng.uniform(0, 255), rng.uniform(0, 255));
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circle(color_image, transform[i], cvRound(show_radius), color, -1);
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}
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}
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}
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void getMatWithFPS(Mat &color_image, double fps)
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{
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ostringstream convert;
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convert << cvRound(fps) << " FPS.";
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putText(color_image, convert.str(), Point(25, 25), FONT_HERSHEY_DUPLEX, 1, Scalar(0, 0, 255), 2);
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}
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int liveQRCodeDetect()
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{
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VideoCapture cap(0);
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if(!cap.isOpened())
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{
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cout << "Cannot open a camera" << '\n';
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return -4;
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}
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QRCodeDetector qrcode;
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TickMeter total;
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for(;;)
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{
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Mat frame, src, straight_barcode;
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string decode_info;
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vector<Point> transform;
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cap >> frame;
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if(frame.empty()) { break; }
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cvtColor(frame, src, COLOR_BGR2GRAY);
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total.start();
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bool result_detection = qrcode.detect(src, transform);
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if (result_detection)
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{
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decode_info = qrcode.decode(src, transform, straight_barcode);
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if (!decode_info.empty()) { cout << decode_info << '\n'; }
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}
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total.stop();
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double fps = 1 / total.getTimeSec();
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total.reset();
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if (result_detection) { getMatWithQRCodeContour(frame, transform); }
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getMatWithFPS(frame, fps);
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imshow("Live QR code detector", frame);
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if( waitKey(30) > 0 ) { break; }
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}
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return 0;
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}
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int showImageQRCodeDetect(string in, string out)
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{
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Mat src = imread(in, IMREAD_GRAYSCALE), straight_barcode;
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string decoded_info;
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vector<Point> transform;
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const int count_experiments = 10;
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double transform_time = 0.0;
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bool result_detection = false;
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TickMeter total;
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QRCodeDetector qrcode;
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for (size_t i = 0; i < count_experiments; i++)
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{
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total.start();
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transform.clear();
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result_detection = qrcode.detect(src, transform);
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total.stop();
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transform_time += total.getTimeSec();
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total.reset();
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if (!result_detection) { break; }
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total.start();
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decoded_info = qrcode.decode(src, transform, straight_barcode);
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total.stop();
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transform_time += total.getTimeSec();
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total.reset();
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if (decoded_info.empty()) { break; }
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}
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double fps = count_experiments / transform_time;
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if (!result_detection) { cout << "QR code not found\n"; return -2; }
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if (decoded_info.empty()) { cout << "QR code cannot be decoded\n"; return -3; }
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Mat color_src = imread(in);
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getMatWithQRCodeContour(color_src, transform);
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getMatWithFPS(color_src, fps);
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for(;;)
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{
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imshow("Detect QR code on image", color_src);
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if( waitKey(30) > 0 ) { break; }
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}
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if (!out.empty())
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{
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getMatWithQRCodeContour(color_src, transform);
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getMatWithFPS(color_src, fps);
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cout << "Input image file path: " << in << '\n';
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cout << "Output image file path: " << out << '\n';
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cout << "Size: " << color_src.size() << '\n';
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cout << "FPS: " << fps << '\n';
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cout << "Decoded info: " << decoded_info << '\n';
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vector<int> compression_params;
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compression_params.push_back(IMWRITE_PNG_COMPRESSION);
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compression_params.push_back(9);
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try
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{
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imwrite(out, color_src, compression_params);
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}
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catch (const cv::Exception& ex)
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{
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cout << "Exception converting image to PNG format: ";
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cout << ex.what() << '\n';
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return -3;
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}
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}
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return 0;
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}
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