mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
170 lines
4.8 KiB
170 lines
4.8 KiB
#include "opencv2/objdetect.hpp" |
|
#include "opencv2/imgproc.hpp" |
|
#include "opencv2/highgui.hpp" |
|
#include <string> |
|
#include <iostream> |
|
|
|
using namespace std; |
|
using namespace cv; |
|
|
|
void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform); |
|
void getMatWithFPS(Mat &color_image, double fps); |
|
int liveQRCodeDetect(); |
|
int showImageQRCodeDetect(string in, string out); |
|
|
|
int main(int argc, char *argv[]) |
|
{ |
|
const string keys = |
|
"{h help ? | | print help messages }" |
|
"{i in | | input path to file for detect (with parameter - show image, otherwise - camera)}" |
|
"{o out | | output path to file (save image, work with -i parameter) }"; |
|
CommandLineParser cmd_parser(argc, argv, keys); |
|
|
|
cmd_parser.about("This program detects the QR-codes from camera or images using the OpenCV library."); |
|
if (cmd_parser.has("help")) |
|
{ |
|
cmd_parser.printMessage(); |
|
return 0; |
|
} |
|
|
|
string in_file_name = cmd_parser.get<string>("in"); // input path to image |
|
string out_file_name = cmd_parser.get<string>("out"); // output path to image |
|
|
|
if (!cmd_parser.check()) |
|
{ |
|
cmd_parser.printErrors(); |
|
return -1; |
|
} |
|
|
|
int return_code = 0; |
|
if (in_file_name.empty()) |
|
{ |
|
return_code = liveQRCodeDetect(); |
|
} |
|
else |
|
{ |
|
return_code = showImageQRCodeDetect(in_file_name, out_file_name); |
|
} |
|
return return_code; |
|
} |
|
|
|
void getMatWithQRCodeContour(Mat &color_image, vector<Point> transform) |
|
{ |
|
if (!transform.empty()) |
|
{ |
|
double show_radius = (color_image.rows > color_image.cols) |
|
? (2.813 * color_image.rows) / color_image.cols |
|
: (2.813 * color_image.cols) / color_image.rows; |
|
double contour_radius = show_radius * 0.4; |
|
|
|
vector< vector<Point> > contours; |
|
contours.push_back(transform); |
|
drawContours(color_image, contours, 0, Scalar(211, 0, 148), cvRound(contour_radius)); |
|
|
|
RNG rng(1000); |
|
for (size_t i = 0; i < 4; i++) |
|
{ |
|
Scalar color = Scalar(rng.uniform(0,255), rng.uniform(0, 255), rng.uniform(0, 255)); |
|
circle(color_image, transform[i], cvRound(show_radius), color, -1); |
|
} |
|
} |
|
} |
|
|
|
void getMatWithFPS(Mat &color_image, double fps) |
|
{ |
|
ostringstream convert; |
|
convert << cvRound(fps) << " FPS."; |
|
putText(color_image, convert.str(), Point(25, 25), FONT_HERSHEY_DUPLEX, 1, Scalar(0, 0, 255), 2); |
|
} |
|
|
|
int liveQRCodeDetect() |
|
{ |
|
VideoCapture cap(0); |
|
if(!cap.isOpened()) |
|
{ |
|
cout << "Cannot open a camera" << '\n'; |
|
return -4; |
|
} |
|
|
|
TickMeter total; |
|
for(;;) |
|
{ |
|
Mat frame, src; |
|
vector<Point> transform; |
|
cap >> frame; |
|
if(frame.empty()) { break; } |
|
cvtColor(frame, src, COLOR_BGR2GRAY); |
|
|
|
total.start(); |
|
bool result_detection = detectQRCode(src, transform); |
|
total.stop(); |
|
double fps = 1 / total.getTimeSec(); |
|
total.reset(); |
|
|
|
if (result_detection) { getMatWithQRCodeContour(frame, transform); } |
|
getMatWithFPS(frame, fps); |
|
|
|
imshow("Live detect QR code", frame); |
|
if( waitKey(30) > 0 ) { break; } |
|
} |
|
return 0; |
|
} |
|
|
|
int showImageQRCodeDetect(string in, string out) |
|
{ |
|
Mat src = imread(in, IMREAD_GRAYSCALE); |
|
vector<Point> transform; |
|
const int count_experiments = 10; |
|
double transform_time = 0.0; |
|
bool result_detection = false; |
|
TickMeter total; |
|
for (size_t i = 0; i < count_experiments; i++) |
|
{ |
|
total.start(); |
|
transform.clear(); |
|
result_detection = detectQRCode(src, transform); |
|
total.stop(); |
|
transform_time += total.getTimeSec(); |
|
if (!result_detection) { break; } |
|
total.reset(); |
|
|
|
} |
|
double fps = count_experiments / transform_time; |
|
if (!result_detection) { cout << "Not find QR-code." << '\n'; return -2; } |
|
|
|
Mat color_src = imread(in); |
|
getMatWithQRCodeContour(color_src, transform); |
|
getMatWithFPS(color_src, fps); |
|
|
|
for(;;) |
|
{ |
|
imshow("Detect QR code on image", color_src); |
|
if( waitKey(30) > 0 ) { break; } |
|
} |
|
|
|
if (!out.empty()) |
|
{ |
|
getMatWithQRCodeContour(color_src, transform); |
|
getMatWithFPS(color_src, fps); |
|
|
|
cout << "Input image file path: " << in << '\n'; |
|
cout << "Output image file path: " << out << '\n'; |
|
cout << "Size: " << color_src.size() << '\n'; |
|
cout << "FPS: " << fps << '\n'; |
|
|
|
vector<int> compression_params; |
|
compression_params.push_back(IMWRITE_PNG_COMPRESSION); |
|
compression_params.push_back(9); |
|
try |
|
{ |
|
imwrite(out, color_src, compression_params); |
|
} |
|
catch (cv::Exception& ex) |
|
{ |
|
cout << "Exception converting image to PNG format: "; |
|
cout << ex.what() << '\n'; |
|
return -3; |
|
} |
|
} |
|
return 0; |
|
}
|
|
|