std::vector<double> FaceMatchingSingle::getNormalizedSimilarity(cv::Mat& target1, cv::Mat& target2) {
cv::Mat sample1 = cropImg(target1);
cv::Mat sample2 = cropImg(target2);
if (sample1.type() == CV_8UC3) {
cv::cvtColor(sample1, sample1, CV_BGR2GRAY);
}
if (sample2.type() == CV_8UC3) {
cv::cvtColor(sample2, sample2, CV_BGR2GRAY);
}
cv::Mat proj1 = cv::subspaceProject(W, mean, sample1.reshape(1, 1));
cv::Mat proj2 = cv::subspaceProject(W, mean, sample2.reshape(1, 1));
double distance = cv::norm(proj1, proj2);
double similarity = ((maxDistance - distance) / maxDistance) * 100;
if (similarity < 0){
similarity = 0.0;
}
if (similarity > 100.0){
similarity = 100.0;
}
std::vector<double> similarities;
similarities.push_back(similarity);
this->similarities.push_back(similarity);
//Audrey
//All other calling functions call this similarities values
return similarities;
}
double FaceMatchingSingle::getDistance(cv::Mat& target1, cv::Mat& target2) {
cv::Mat sample1 = cropImg(target1);
cv::Mat sample2 = cropImg(target2);
if (sample1.type() == CV_8UC3) {
commonTool.log("error, why color?");
cv::cvtColor(sample1, sample1, CV_BGR2GRAY);
}
if (sample2.type() == CV_8UC3) {
commonTool.log("error, why color ?");
cv::cvtColor(sample2, sample2, CV_BGR2GRAY);
}
if (sample1.type() != sample2.type()) {
commonTool.log("error, diffrent image type of sample");
}
cv::Mat proj1 = cv::subspaceProject(W, mean, sample1.reshape(1, 1));
cv::Mat proj2 = cv::subspaceProject(W, mean, sample2.reshape(1, 1));
return cv::norm(proj1, proj2);
}
void FaceFeatureRecognitionApp::GenerateNonFaceFromFace(void)
{
std::string fileName;
char filterName[] = "Land Files(*.txt)\0*.txt\0";
MagicCore::ToolKit::FileOpenDlg(fileName, filterName);
std::string imgPath = fileName;
std::string::size_type pos = imgPath.rfind("/");
if (pos == std::string::npos)
{
pos = imgPath.rfind("\\");
}
imgPath.erase(pos);
std::ifstream fin(fileName);
int dataSize;
fin >> dataSize;
int cropSize = 40;
int outputSize = 64;
cv::Size cvOutputSize(outputSize, outputSize);
int imgNumPerData = 1;
srand(time(NULL));
for (int dataId = 0; dataId < dataSize; dataId++)
{
std::string imgName;
fin >> imgName;
imgName = imgPath + imgName;
pos = imgName.rfind(".");
imgName.replace(pos, 5, "_gray.jpg");
/*cv::Mat imgOrigin = cv::imread(imgName);
cv::Mat grayImg;
cv::cvtColor(imgOrigin, grayImg, CV_BGR2GRAY);
imgOrigin.release();*/
cv::Mat grayImg = cv::imread(imgName);
int imgH = grayImg.rows;
int hMax = imgH - cropSize;
int imgW = grayImg.cols;
int wMax = imgW - cropSize;
int synImgNum = 0;
while (synImgNum < imgNumPerData)
{
int sH = rand() % hMax;
int sW = rand() % wMax;
cv::Mat cropImg(cropSize, cropSize, CV_8UC1);
for (int hid = 0; hid < cropSize; hid++)
{
for (int wid = 0; wid < cropSize; wid++)
{
cropImg.ptr(hid, wid)[0] = grayImg.ptr(sH + hid, sW + wid)[0];
}
}
cv::Mat outputImg(cvOutputSize, CV_8UC1);
cv::resize(cropImg, outputImg, cvOutputSize);
cropImg.release();
std::stringstream ss;
ss << "./nonFaceFromFace/nonFace" << dataId << "_" << synImgNum << "_40.jpg";
std::string outputName;
ss >> outputName;
cv::imwrite(outputName, outputImg);
outputImg.release();
synImgNum++;
}
grayImg.release();
}
fin.close();
DebugLog << "GenerateNonFaceFromFace Done" << std::endl;
}
