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retinaface optim

1 parent c7e48e8e
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project(facerecognize)
# include_directories( ${OpenCV_INCLUDE_DIRS} )
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build/facerecognize 0 → 100755
No preview for this file type
facerecognize.cpp
......@@ -39,29 +39,29 @@ vector<vector<float>> FaceRecognize::priorBox(vector<float> image_size){
}
// 解析bounding box 包含置信度
vector<Bbox> FaceRecognize::decode(vector<vector<float>> loc,vector<vector<float>> score,vector<vector<float>>pre,vector<vector<float>> priors,vector<float> variances){
vector<Bbox> FaceRecognize::decode(Mat loc,Mat score,Mat pre,vector<vector<float>> priors,vector<float> variances){
vector<Bbox> boxes;
for(int i=0;i<priors.size();++i){
float b1=priors[i][0]+loc[i][0]*variances[0]*priors[i][2];
float b2=priors[i][1]+loc[i][1]*variances[0]*priors[i][3];
float b3=priors[i][2]*exp(loc[i][2]*variances[1]);
float b4=priors[i][3]*exp(loc[i][3]*variances[1]);
float b1=priors[i][0]+loc.at<float>(i,0)*variances[0]*priors[i][2];
float b2=priors[i][1]+loc.at<float>(i,1)*variances[0]*priors[i][3];
float b3=priors[i][2]*exp(loc.at<float>(i,2)*variances[1]);
float b4=priors[i][3]*exp(loc.at<float>(i,3)*variances[1]);
b1=b1-b3/float(2);
b2=b2-b4/float(2);
b3=b3+b1;
b4=b4+b2;
float l1=priors[i][0]+pre[i][0]*variances[0]*priors[i][2];
float l2=priors[i][1]+pre[i][1]*variances[0]*priors[i][3];
float l3=priors[i][0]+pre[i][2]*variances[0]*priors[i][2];
float l4=priors[i][1]+pre[i][3]*variances[0]*priors[i][3];
float l5=priors[i][0]+pre[i][4]*variances[0]*priors[i][2];
float l6=priors[i][1]+pre[i][5]*variances[0]*priors[i][3];
float l7=priors[i][0]+pre[i][6]*variances[0]*priors[i][2];
float l8=priors[i][1]+pre[i][7]*variances[0]*priors[i][3];
float l9=priors[i][0]+pre[i][8]*variances[0]*priors[i][2];
float l10=priors[i][1]+pre[i][9]*variances[0]*priors[i][3];
float l1=priors[i][0]+pre.at<float>(i,0)*variances[0]*priors[i][2];
float l2=priors[i][1]+pre.at<float>(i,1)*variances[0]*priors[i][3];
float l3=priors[i][0]+pre.at<float>(i,2)*variances[0]*priors[i][2];
float l4=priors[i][1]+pre.at<float>(i,3)*variances[0]*priors[i][3];
float l5=priors[i][0]+pre.at<float>(i,4)*variances[0]*priors[i][2];
float l6=priors[i][1]+pre.at<float>(i,5)*variances[0]*priors[i][3];
float l7=priors[i][0]+pre.at<float>(i,6)*variances[0]*priors[i][2];
float l8=priors[i][1]+pre.at<float>(i,7)*variances[0]*priors[i][3];
float l9=priors[i][0]+pre.at<float>(i,8)*variances[0]*priors[i][2];
float l10=priors[i][1]+pre.at<float>(i,9)*variances[0]*priors[i][3];
Bbox tmp_box={.xmin=b1*input_size[0]/resize_scale,.ymin=b2*input_size[1]/resize_scale,.xmax=b3*input_size[0]/resize_scale,.ymax=b4*input_size[1]/resize_scale,
.score=float(score[i][0]),.x1=(l1*input_size[0])/resize_scale,.y1=l2*input_size[1]/resize_scale,.x2=l3*input_size[0]/resize_scale,.y2=l4*input_size[1]/resize_scale,
.score=score.at<float>(i,0),.x1=(l1*input_size[0])/resize_scale,.y1=l2*input_size[1]/resize_scale,.x2=l3*input_size[0]/resize_scale,.y2=l4*input_size[1]/resize_scale,
.x3=l5*input_size[0]/resize_scale,.y3=l6*input_size[1]/resize_scale,.x4=l7*input_size[0]/resize_scale,.y4=l8*input_size[1]/resize_scale,.x5=l9*input_size[0]/resize_scale,.y5=l10*input_size[1]/resize_scale};
boxes.push_back(tmp_box);
}
......@@ -177,27 +177,18 @@ vector<Bbox> FaceRecognize::detect(string image_path){
det_net.setInput(blob); // 设置模型输入
std::vector<cv::Mat> det_netOutputImg;
det_net.forward(det_netOutputImg,det_net.getUnconnectedOutLayersNames()); // 推理出结果
cv::Mat scores_ = det_netOutputImg[2].reshape(1,16800);
cv::Mat boxes_ = det_netOutputImg[0].reshape(1,16800);
cv::Mat landms_ = det_netOutputImg[1].reshape(1,16800);
std::vector<vector<float>> scores,boxes,landms;
scores=mat2vector(scores_);
boxes=mat2vector(boxes_);
landms=mat2vector(landms_);
cv::Mat scores = det_netOutputImg[2].reshape(1,16800);
cv::Mat boxes = det_netOutputImg[0].reshape(1,16800);
cv::Mat landms = det_netOutputImg[1].reshape(1,16800);
vector<vector<float>> anchors=priorBox(input_size);
vector<Bbox> result_boxes=decode(boxes,scores,landms,anchors,variances);
vector<Bbox> results=select_score(result_boxes,confidence_threshold,w_r,h_r);
// vector<Bbox> result_bboxes=vec2Bbox(boxes,w_r,h_r);
nms_cpu(results,nms_threshold);
if(is_bbox_process){
vector<Bbox> res_bboxes=bbox_process(results,input_size[0],input_size[1]);
return res_bboxes;
}else{
return results;
}
......@@ -210,14 +201,9 @@ vector<Bbox> FaceRecognize::detect_image(Mat image){
det_net.setInput(blob); // 设置模型输入
std::vector<cv::Mat> det_netOutputImg;
det_net.forward(det_netOutputImg,det_net.getUnconnectedOutLayersNames()); // 推理出结果
cv::Mat scores_ = det_netOutputImg[2].reshape(1,16800);
cv::Mat boxes_ = det_netOutputImg[0].reshape(1,16800);
cv::Mat landms_ = det_netOutputImg[1].reshape(1,16800);
std::vector<vector<float>> scores,boxes,landms;
scores=mat2vector(scores_);
boxes=mat2vector(boxes_);
landms=mat2vector(landms_);
cv::Mat scores = det_netOutputImg[2].reshape(1,16800);
cv::Mat boxes = det_netOutputImg[0].reshape(1,16800);
cv::Mat landms = det_netOutputImg[1].reshape(1,16800);
vector<vector<float>> anchors=priorBox(input_size);
......
facerecognize.h
......@@ -42,7 +42,6 @@ class FaceRecognize{
double face_recongnize_thr = 0.2; //人脸相似度阈值
cv::dnn::Net det_net,landm_net,rec_net;
public:
FaceRecognize();
FaceRecognize(string face_det_model_path,string face_landm_model_path,string face_rec_model_path){
......@@ -59,9 +58,11 @@ class FaceRecognize{
}
}
private:
//人脸检测部分
vector<vector<float>> priorBox(vector<float> image_size);
vector<Bbox> decode(vector<vector<float>> loc,vector<vector<float>> score,vector<vector<float>>pre,vector<vector<float>> priors,vector<float> variances);
vector<Bbox> decode(Mat loc,Mat score,Mat pre,vector<vector<float>> priors,vector<float> variances);
void nms_cpu(std::vector<Bbox> &bboxes, float threshold);
vector<vector<float>> mat2vector(Mat mat);
vector<Bbox> select_score(vector<Bbox> bboxes,float threshold,float w_r,float h_r);
......@@ -86,8 +87,8 @@ class FaceRecognize{
double cos_distance(const vector<double>& base, const vector<double>& target);
double get_samilar(Mat image1,Mat image2);
//整体
public:
//人脸识别整体推理
bool face_recognize(string image1_path,string image2_path);
bool face_recognize_image(Mat image1,Mat image2);
};
......
libfacerecognize.so
No preview for this file type
main.cpp
......@@ -11,7 +11,7 @@ int main(){
bool result=face_rec.face_recognize_image(image1,image2);
end = clock();
double elapsedTime = static_cast<double>(end-start) / CLOCKS_PER_SEC ;
printf("result : %d \n",result);
printf("PROCESSING TIME: %f",elapsedTime);
}
......
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