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Lab08.cpp
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Lab08.cpp
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//
// Lab08.cpp
// Lab08
//
//
#include <opencv2/opencv.hpp>
const char predicts[] = "alg_bin.csv";
const char continuousPredicts[] = "alg_dbl.csv";
const char lables[] = "gt.csv";
const char imgPredictsFile1[] = "bitmap_A1.png";
const char imgPredictsFile2[] = "bitmap_A2.png";
const char imgLablesFile[] = "bitmap_gt.png";
const char generalMessage[] = "Select a number (1 to 4) or 0 to exit: ";
int getUserEntry (std::string message);
void openStream(const char* file, std::ifstream& ifs);
int countRows(std::ifstream& ifs);
template <typename T> void loadData(std::ifstream& ifs, T* data, int len);
void loadImage(cv::Mat& img, const char* imgName);
int calcPR(bool* pred, bool* gt, int len, double* P, double* R);
double calcFb(double P, double R, double beta);
void thresh_v(double* A, bool* B, int len, double thresh);
void thresh_img(cv::Mat img, bool* B, double thresh);
int main() {
std::ofstream ofs;
std::ifstream ifs;
/// variables for part 1 and 2
openStream(predicts, ifs);
int len = countRows(ifs);
bool pred[len], gt[len];
double A[len];
bool B[len];
double P, R, F;
int status;
openStream(predicts, ifs);
loadData<bool>(ifs, pred, len);
openStream(lables, ifs);
loadData<bool>(ifs, gt, len);
openStream(continuousPredicts, ifs);
loadData<double>(ifs, A, len);
/// variables for part 3 and 4
cv::Mat imgPredicts1, imgPredicts2, imgLables;
loadImage(imgPredicts1, imgPredictsFile1);
loadImage(imgPredicts2, imgPredictsFile2);
loadImage(imgLables, imgLablesFile);
int len_img = imgLables.cols * imgLables.rows;
bool B_predicts[len_img];
bool B_lables[len_img];
int choice = getUserEntry(generalMessage);
while (choice != 0) {
if (choice == 1) {
status = calcPR(pred, gt, len, &P, &R);
if (status == 0) { std::cout << "Error calling calcPR \n"; exit(1); }
F = calcFb(P, R, 1.0);
std::cout << "Precision: " << P << std::endl;
std::cout << "Recall: " << R << std::endl;
std::cout << "F1: " << F << std::endl << std::endl;
}
else if (choice == 2) {
ofs.open("PR.csv");
if (ofs.is_open()) {
ofs << "THRESH,P,R,F1" << std::endl;
ofs << std::setprecision(3);
}
for(double thresh = 0.1; thresh < 1.0; thresh += 0.1) {
thresh_v(A, B, len, thresh);
status = calcPR(B, gt, len, &P, &R);
if (status == 0) { std::cout << "Error calling calcPR \n"; exit(1); }
F = calcFb(P, R, 1.0);
ofs << thresh << "," << P << "," << R << "," << F;
ofs << std::endl;
}
ofs.close();
std::cout << "Done!" << std::endl << std::endl;
}
else if (choice == 3) {
thresh_img(imgPredicts1, B_predicts, 128);
thresh_img(imgLables, B_lables, 128);
status = calcPR(B_predicts, B_lables, len_img, &P, &R);
if (status == 0) { std::cout << "Error calling calcPR \n"; exit(1); }
F = calcFb(P, R, 1.0);
std::cout << "Precision: " << P << " Recall: " << R << " F1: " << F;
std::cout << std::endl << std::endl;
}
else if (choice == 4) {
ofs.open("PR_img.csv");
if (ofs.is_open()) {
ofs << "THRESH,P,R,F1" << std::endl;
ofs << std::setprecision(4);
}
for(int thresh = 25; thresh <= 250; thresh += 25) {
thresh_img(imgPredicts2, B_predicts, thresh);
thresh_img(imgLables, B_lables, thresh);
status = calcPR(B_predicts, B_lables, len_img, &P, &R);
if (status == 0) { std::cout << "Error calling calcPR \n"; exit(1); }
F = calcFb(P, R, 1.0);
ofs << thresh << "," << P << "," << R << "," << F;
ofs << std::endl;
}
ofs.close();
std::cout << "Done!" << std::endl << std::endl;
}
choice = getUserEntry(generalMessage);
}
std::cout << std::endl;
return 0;
}
int getUserEntry (std::string message) {
int answer = -1;
while ( answer == -1 ) {
std::cout << message;
std::cin >> answer;
if (!std::cin.fail() && answer >= 1 && answer <= 4) /** do nothing */;
else if ( answer == 0 ) /** do nothing */;
else {
std::cin.clear();
std::cout << "Please try again.\n" << std::endl;
answer = -1;
}
/** flush the buffer */
std::cin.ignore(INT_MAX, '\n');
}
return answer;
}
void openStream(const char* file, std::ifstream& in) {
in.open(file, std::ifstream::in);
if (in.fail()) {
std::cout << "Couldn't open data file." << std::endl;
exit(1);
}
}
int countRows(std::ifstream& in) {
int counter = 0;
std::string dispose;
while(getline(in, dispose)) ++counter;
in.close();
return counter;
}
template <typename T>
void loadData(std::ifstream& in, T* data, int len) {
for (int i = 0; i < len; i++) {
in >> data[i];
in.ignore(); /// discard the \n character
}
in.clear();
in.close();
}
void loadImage(cv::Mat& img, const char* imgName) {
img = cv::imread(imgName, cv::IMREAD_GRAYSCALE);
if( img.empty() ) {
std::cout << "Could not read the image" << std::endl ;
exit(1);
}
}
int calcPR(bool* pred, bool* gt, int len, double* P, double* R) {
int succeed = 1;
double TP = 0, TN = 0, FP = 0, FN = 0;
if (pred && gt && P && R) { /// if all pointers are valid
for (int i = 0; i < len; i++) {
if (pred[i] && gt[i]) TP++;
else if (pred[i] && !gt[i]) FP++;
else if (!pred[i] && gt[i]) FN++;
else if (!pred[i] && !gt[i]) TN++;
}
*R = (TP + FN == 0) ? 1.0 : TP/(TP + FN);
*P = (TP + FP == 0) ? 1.0 : TP/(TP + FP);
}
else succeed = 0;
return succeed;
}
double calcFb(double P, double R, double beta) {
double b = pow(beta,2);
return (1 + b) * P * R / (b * P + R);
}
void thresh_v(double* A, bool* B, int len, double thresh) {
for (int i = 0; i < len; i++) {
B[i] = A[i] > thresh;
}
}
void thresh_img(cv::Mat img, bool* B, double thresh) {
int cols = img.cols;
for(int r = 0; r < img.rows; r++) {
for(int c = 0; c < img.cols; c++) {
B[r*cols + c] = img.at<uchar>(r,c) > thresh;
}
}
}