# OpenCV >= 4.5

#include <iostream>
#include <fstream>

#include <opencv2/imgproc.hpp>
#include <opencv2/highgui.hpp>
#include <opencv2/dnn.hpp>

using namespace cv;
using namespace cv::dnn;

// Load model weights
TextDetectionModel_DB model("./DB_IC15_resnet50.onnx");
 
// Post-processing parameters
float binThresh = 0.3;
float polyThresh = 0.5;
uint maxCandidates = 200;
double unclipRatio = 2.0;
model.setBinaryThreshold(binThresh)
     .setPolygonThreshold(polyThresh)
     .setMaxCandidates(maxCandidates)
     .setUnclipRatio(unclipRatio)
;
 
// Normalization parameters
double scale = 1.0 / 255.0;
Scalar mean = Scalar(122.67891434, 116.66876762, 104.00698793);
 
// The input shape
Size inputSize = Size(736, 736);
 
model.setInputParams(scale, inputSize, mean);


std::vector<std::vector<Point>> detResults;
model.detect(detResults);
 
// Visualization
polylines(frame, results, true, Scalar(0, 255, 0), 2);
imshow("Text Detection", image);
waitKey();