IPA_projekt_2024/vs_win/retinanetpost.cpp

#include <cstring>
#include <string>
#include <iostream>
#include <inttypes.h>
#include "ipa_tool.h"

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

using namespace std;
using namespace cv;

#include "prior_boxes.hpp"
#include "utils.hpp"
#include "reader.hpp"

//example: call extern function
extern "C" { void f1(int a);}

#define CONFIDENCE_THRESHOLD 0.999
#define INPUT_WIDTH 640
#define INPUT_HEIGHT 480
#define ANCHORS_COUNT 12600

int main(int argc, char** argv)
{
	if (argc != 3)
	{
		std::cout << "Run program by: ./retinapost input/vector.txt input/image.png";
	}

	Mat image = imread(argv[1]);

	if (image.empty()) 
	{
        cout << "Could not open or find a image" << endl;
        return -1;
    }

	//All constants refer to the configuration used in prior_boxes.cpp and to the 640x480 resolution.
	std::vector<int> image_size = {INPUT_WIDTH, INPUT_HEIGHT};
	std::vector<float> variances = {0.1f, 0.2f};
	size_t total0_len = ANCHORS_COUNT*4;
	size_t total1_len = ANCHORS_COUNT*2;
	size_t num_anchors = total0_len / 4;

	PriorBox priorBox(image_size, "projekt");

    std::vector<std::vector<float>>  priors = priorBox.forward();


    Scalar color(0, 255, 0); // Color of the rectangle (in BGR)
    int thickness = 2; // Thickness of the rectangle border

	InstructionCounter counter;
	counter.start();
	/*******************Part to optmize*********************/

	vector<float> floats = readFloatsFromFile(argv[2]);
	vector<vector<float>> split_vectors = splitFloats(floats, 12600*4);

	vector<float> floatarr = split_vectors[0];
    vector<float> floatarrscr = split_vectors[1];


    std::vector<std::vector<float>> loc;
    for (size_t i = 0; i < num_anchors; i++) {
        loc.push_back({floatarr[i * 4], floatarr[i * 4 + 1], floatarr[i * 4 + 2], floatarr[i * 4 + 3]});
    }

    std::vector<std::vector<float>> decoded_boxes = decode(loc, priors, variances);

    std::vector<float> scores;
    std::vector<int> inds;
    std::vector<float> det_scores;

    std::vector<std::vector<float>> det_boxes;

    for (size_t i = 0; i < total1_len/2; i++) {
        scores.push_back(floatarrscr[i*2+1]);
        if(floatarrscr[i*2+1] > CONFIDENCE_THRESHOLD)
        {
            inds.push_back(i);
            decoded_boxes[i].push_back(floatarrscr[i*2+1]);
            decoded_boxes[i][0]= decoded_boxes[i][0]* 640;
            decoded_boxes[i][1]= decoded_boxes[i][1]* 480;
            decoded_boxes[i][2]= decoded_boxes[i][2]* 640;
            decoded_boxes[i][3]= decoded_boxes[i][3]* 480;
            det_boxes.push_back(decoded_boxes[i]);
            det_scores.push_back(scores[i]);
        }
    }

    auto out = nms(det_boxes, 0.4);

    //Test
	//f1(10);

	counter.print();

	/************************************************/


    for (int i = 0; i < out.size(); i++)
    {
		#ifdef DEBUG
			printf("Box %f %f %f %f %f\n", out[i][0],  out[i][1],  out[i][2],  out[i][3],  out[i][4]);
		#endif


        cv::Rect roi((int)out[i][0],  (int)out[i][1],  (int)out[i][2]- (int)out[i][0], (int)out[i][3] - (int)out[i][1]);
		rectangle(image, roi, color, thickness);
    }

    imshow("Output", image);
    waitKey(0);

	return 0;
}