eyemFeatureExtractor.cpp
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#include "eyemFeatureExtractor.h"
class Extractor::Impl {
public:
Impl() {}
~Impl() {}
//ȡ
std::vector<float> forward(const cv::Mat& img, cv::Scalar mean, cv::Scalar std);
//ȡ
std::shared_ptr<AZONNXWrapper> extractor_;
};
Extractor::Extractor(const std::string& model_path)
{
p = cv::makePtr<Extractor::Impl>();
if (!model_path.empty()) {
p->extractor_ = std::make_shared<AZONNXWrapper>();
p->extractor_->init(model_path);
}
else {
p->extractor_ = NULL;
}
}
std::vector<float> Extractor::extract(cv::InputArray img)
{
return p->forward(img.getMat(), cv::Scalar(0.449, 0.449, 0.449), cv::Scalar(0.226, 0.226, 0.226));
}
std::vector<float> Extractor::Impl::forward(const cv::Mat& img, cv::Scalar mean, cv::Scalar std)
{
std::vector<float> predictions(512);
float* outputs = extractor_->forward(img, mean, std);
for (int i = 0; i < 512; i++) predictions[i] = outputs[i];
return predictions;
}
int eyemInitONNXModel(const char *extractorModelPath)
{
try {
pExtractor = cv::makePtr<Extractor>(extractorModelPath);
}
catch (const std::exception& e) {
std::cout << e.what() << std::endl;
return FUNC_CANNOT_CALC;
}
return FUNC_OK;
}
int eyemExtractWithONNX(EyemImage tpImage, float *fFeatures)
{
cv::Mat src = cv::Mat(tpImage.iHeight, tpImage.iWidth, MAKETYPE(tpImage.iDepth, tpImage.iChannels), tpImage.vpImage).clone();
if (src.empty()) {
return FUNC_IMAGE_NOT_EXIST;
}
auto predicts = pExtractor->extract(src);
for (int i = 0; i < 512; i++) fFeatures[i] = predicts[i];
return FUNC_OK;
}
float getMold(float *vector)
{
float mold2 = .0f;
for (int i = 0; i < 512; i++) {
mold2 += vector[i] * vector[i];
}
return sqrt(mold2);
}
float calcSimilarity(float *lhs, float *rhs)
{
float ip = .0f;
for (int i = 0; i < 512; i++) {
ip += lhs[i] * rhs[i];
}
return ip / (getMold(lhs)*getMold(rhs));
}