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#include <iostream>
#include <opencv2/opencv.hpp>
#include <opencv2/wechat_qrcode.hpp>
#include <string>
#include <vector>
class WeChatQRCode {
public:
WeChatQRCode(const std::string& detect_prototxt,
const std::string& detect_model,
const std::string& sr_prototxt, const std::string& sr_model,
int backend_target_index)
: backend_target_index_(backend_target_index) {
const std::vector<std::pair<int, int>> backend_target_pairs = {
{cv::dnn::DNN_BACKEND_OPENCV, cv::dnn::DNN_TARGET_CPU},
{cv::dnn::DNN_BACKEND_CUDA, cv::dnn::DNN_TARGET_CUDA},
{cv::dnn::DNN_BACKEND_CUDA, cv::dnn::DNN_TARGET_CUDA_FP16},
{cv::dnn::DNN_BACKEND_TIMVX, cv::dnn::DNN_TARGET_NPU},
{cv::dnn::DNN_BACKEND_CANN, cv::dnn::DNN_TARGET_NPU}};
if (backend_target_index_ < 0 ||
backend_target_index_ >= backend_target_pairs.size()) {
throw std::invalid_argument("Invalid backend-target index");
}
// initialize detector
detector_ = cv::makePtr<cv::wechat_qrcode::WeChatQRCode>(
detect_prototxt, detect_model, sr_prototxt, sr_model);
}
std::pair<std::vector<std::string>, std::vector<cv::Mat>> detect(
const cv::Mat& image) {
std::vector<std::string> results;
std::vector<cv::Mat> points;
results = detector_->detectAndDecode(image, points);
return {results, points};
}
cv::Mat visualize(const cv::Mat& image,
const std::vector<std::string>& results,
const std::vector<cv::Mat>& points,
cv::Scalar points_color = cv::Scalar(0, 255, 0),
cv::Scalar text_color = cv::Scalar(0, 255, 0),
double fps = -1) const {
cv::Mat output = image.clone();
if (fps >= 0) {
cv::putText(output, "FPS: " + std::to_string(fps), cv::Point(0, 15),
cv::FONT_HERSHEY_SIMPLEX, 0.5, text_color);
}
double fontScale = 0.5;
int fontSize = 1;
for (size_t i = 0; i < results.size(); ++i) {
const auto& p = points[i];
for (int r = 0; r < p.rows; ++r) {
cv::Point point(p.at<float>(r, 0), p.at<float>(r, 1));
cv::circle(output, point, 10, points_color, -1);
}
int qrcode_center_x = (p.at<float>(0, 0) + p.at<float>(2, 0)) / 2;
int qrcode_center_y = (p.at<float>(0, 1) + p.at<float>(2, 1)) / 2;
int baseline = 0;
cv::Size text_size =
cv::getTextSize(results[i], cv::FONT_HERSHEY_DUPLEX, fontScale,
fontSize, &baseline);
cv::Point text_pos(qrcode_center_x - text_size.width / 2,
qrcode_center_y + text_size.height / 2);
cv::putText(output, results[i], text_pos, cv::FONT_HERSHEY_DUPLEX,
fontScale, text_color, fontSize);
}
return output;
}
private:
int backend_target_index_;
cv::Ptr<cv::wechat_qrcode::WeChatQRCode> detector_;
};
int main(int argc, char** argv) {
cv::CommandLineParser parser(
argc, argv,
"{help h | | Show this help message.}"
"{input i | | Set path to the input image. Omit for using default camera.}"
"{detect_prototxt_path | detect_2021nov.prototxt | Set path to detect.prototxt.}"
"{detect_model_path | detect_2021nov.caffemodel | Set path to detect.caffemodel.}"
"{sr_prototxt_path | sr_2021nov.prototxt | Set path to sr.prototxt.}"
"{sr_model_path | sr_2021nov.caffemodel | Set path to sr.caffemodel.}"
"{backend_target bt | 0 | Choose one of the backend-target pairs to run this demo.}"
"{save s | false | Specify to save file with results.}"
"{vis v | false | Specify to open a new window to show results.}");
if (parser.has("help")) {
parser.printMessage();
return 0;
}
// get paths
std::string detect_prototxt = parser.get<std::string>("detect_prototxt_path");
std::string detect_model = parser.get<std::string>("detect_model_path");
std::string sr_prototxt = parser.get<std::string>("sr_prototxt_path");
std::string sr_model = parser.get<std::string>("sr_model_path");
int backend_target_index = parser.get<int>("backend_target");
// input check
std::string input_path = parser.get<std::string>("input");
bool save_result = parser.get<bool>("save");
bool visualize_result = parser.get<bool>("vis");
try {
WeChatQRCode qrDetector(detect_prototxt, detect_model, sr_prototxt,
sr_model, backend_target_index);
if (!input_path.empty()) {
// process image
cv::Mat image = cv::imread(input_path);
if (image.empty()) {
std::cerr << "Could not read the image" << std::endl;
return -1;
}
std::pair<std::vector<std::string>, std::vector<cv::Mat>> detectionResult = qrDetector.detect(image);
auto& results = detectionResult.first;
auto& points = detectionResult.second;
for (const auto& result : results) {
std::cout << result << std::endl;
}
cv::Mat result_image = qrDetector.visualize(image, results, points);
if (save_result) {
cv::imwrite("result.jpg", result_image);
std::cout << "Results saved to result.jpg" << std::endl;
}
if (visualize_result) {
cv::imshow(input_path, result_image);
cv::waitKey(0);
}
} else {
// process camera
cv::VideoCapture cap(0);
if (!cap.isOpened()) {
std::cerr << "Error opening camera" << std::endl;
return -1;
}
cv::Mat frame;
cv::TickMeter tm;
while (true) {
cap >> frame;
if (frame.empty()) {
std::cout << "No frames grabbed" << std::endl;
break;
}
std::pair<std::vector<std::string>, std::vector<cv::Mat>> detectionResult = qrDetector.detect(frame);
auto& results = detectionResult.first;
auto& points = detectionResult.second;
tm.start();
double fps = tm.getFPS();
tm.stop();
cv::Mat result_frame = qrDetector.visualize(
frame, results, points, cv::Scalar(0, 255, 0),
cv::Scalar(0, 255, 0), fps);
cv::imshow("WeChatQRCode Demo", result_frame);
tm.reset();
if (cv::waitKey(1) >= 0) break;
}
}
} catch (const std::exception& ex) {
std::cerr << "Error: " << ex.what() << std::endl;
return -1;
}
return 0;
}
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