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update inference

1 parent 4a94151f
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Showing 31 changed files with 325 additions and 144 deletions
CMakeLists.txt
......@@ -10,9 +10,9 @@ include_directories(/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/i
LINK_DIRECTORIES(${MNN_DIR}/build)
set(FACECOMPARISON_DIR /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/lib)
# add_library(facecomparison SHARED facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp)
# add_executable(main main.cpp facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp)
add_executable(main main.cpp)
add_executable(main main.cpp facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp)
# add_executable(main main.cpp)
# add_executable(main z.cpp)
target_link_libraries(main ${FACECOMPARISON_DIR}/libfacecomparison.so -lMNN ${OpenCV_LIBS})
# target_link_libraries(facecomparison -lMNN ${OpenCV_LIBS})
# target_link_libraries(main ${FACECOMPARISON_DIR}/libfacecomparison.so -lMNN ${OpenCV_LIBS})
target_link_libraries(main -lMNN ${OpenCV_LIBS})
......
README.md
......@@ -21,10 +21,12 @@ FaceComparison face_rec=FaceComparison(det_model_path,landm_model_path,rec_model
int num_thread = 2;
接口(返回结果 bool:true/false)
bool face_compare(string image_path1,string image_path2);参数为两张图像地址，其中iamge1_path为face_id图像输入
bool face_compare_image(Mat image1,Mat image2);参数为两张opencv读取的图像矩阵，其中iamge1为face_id图像输入
bool inference(string image_path1,string image_path2);参数为两张图像地址，其中iamge1_path为face_id图像输入
bool inference(Mat image1,Mat image2);参数为两张opencv读取的图像矩阵，其中iamge1为face_id图像输入
编译
将CMakeLists.txt 中 set(FACECOMPARISON_DIR /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/lib)
改为lib文件夹所在的绝对地址
mkdir build
......
build/CMakeFiles/CMakeError.log
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Change Dir: /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles/CMakeTmp
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Makefile:126: recipe for target 'cmTC_546f4/fast' failed
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File /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles/CMakeTmp/CheckSymbolExists.c:
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#include "facecomparison.h"
bool FaceComparison::face_compare(string image1_path,string image2_path){
bool FaceComparison::inference(string image1_path,string image2_path){
bool result=false;
cv::Mat image1=cv::imread(image1_path);
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}
vector<Bbox> box1=face_det.detect_image(image1);
vector<Bbox> box2=face_det.detect_image(image2);
vector<Bbox> box1=face_det.inference(image1);
vector<Bbox> box2=face_det.inference(image2);
if(box1.empty()||box2.empty()){
return false;
}
......@@ -24,7 +24,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
}
Rect rect1=Rect(box1[max_box1].xmin,box1[max_box1].ymin,box1[max_box1].xmax-box1[max_box1].xmin,box1[max_box1].ymax-box1[max_box1].ymin);
Mat face_area1=image1(rect1);
vector<vector<float>> landms1=face_landm.detect_landmarks_image(face_area1);
vector<vector<float>> landms1=face_landm.inference(face_area1);
vector<vector<float>> land1={
{float(landms1[104][0]),float(landms1[104][1])},
{float(landms1[105][0]),float(landms1[105][1])},
......@@ -36,7 +36,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
for(int j=0;j<box2.size();++j){
Rect rect2=Rect(box2[j].xmin,box2[j].ymin,box2[j].xmax-box2[j].xmin,box2[j].ymax-box2[j].ymin);
Mat face_area2=image2(rect2);
vector<vector<float>> landms2=face_landm.detect_landmarks_image(face_area2);
vector<vector<float>> landms2=face_landm.inference(face_area2);
vector<vector<float>> land2={
{float(landms2[104][0]),float(landms2[104][1])},
{float(landms2[105][0]),float(landms2[105][1])},
......@@ -45,7 +45,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
{float(landms2[90][0]),float(landms2[90][1])}
};
Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2);
double samilar_score=face_rec.get_samilar_image(align_resize_image1,align_resize_image2);
double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2);
if(samilar_score>face_recongnize_thr){
result=true;
}
......@@ -53,10 +53,10 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
return result;
}
bool FaceComparison::face_compare_image(Mat image1,Mat image2){
bool FaceComparison::inference(Mat image1,Mat image2){
bool result=false;
vector<Bbox> box1=face_det.detect_image(image1);
vector<Bbox> box2=face_det.detect_image(image2);
vector<Bbox> box1=face_det.inference(image1);
vector<Bbox> box2=face_det.inference(image2);
if(box1.empty()||box2.empty()){
return false;
}
......@@ -71,7 +71,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){
}
Rect rect1=Rect(box1[max_box1].xmin,box1[max_box1].ymin,box1[max_box1].xmax-box1[max_box1].xmin,box1[max_box1].ymax-box1[max_box1].ymin);
Mat face_area1=image1(rect1);
vector<vector<float>> landms1=face_landm.detect_landmarks_image(face_area1);
vector<vector<float>> landms1=face_landm.inference(face_area1);
vector<vector<float>> land1={
{float(landms1[104][0]),float(landms1[104][1])},
{float(landms1[105][0]),float(landms1[105][1])},
......@@ -83,7 +83,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){
for(int j=0;j<box2.size();++j){
Rect rect2=Rect(box2[j].xmin,box2[j].ymin,box2[j].xmax-box2[j].xmin,box2[j].ymax-box2[j].ymin);
Mat face_area2=image2(rect2);
vector<vector<float>> landms2=face_landm.detect_landmarks_image(face_area2);
vector<vector<float>> landms2=face_landm.inference(face_area2);
vector<vector<float>> land2={
{float(landms2[104][0]),float(landms2[104][1])},
{float(landms2[105][0]),float(landms2[105][1])},
......@@ -92,7 +92,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){
{float(landms2[90][0]),float(landms2[90][1])}
};
Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2);
double samilar_score=face_rec.get_samilar_image(align_resize_image1,align_resize_image2);
double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2);
if(samilar_score>face_recongnize_thr){
result=true;
}
......
facelandmarks.cpp
......@@ -39,7 +39,7 @@ bool FaceLandmarks::init_model(string model_path){
model_init = true;
}
vector<vector<float>> FaceLandmarks::detect_landmarks(string image_path){
vector<vector<float>> FaceLandmarks::inference(string image_path){
Mat image = cv::imread(image_path);
vector<vector<float>> landmarks;
int width = image.cols;
......@@ -64,7 +64,7 @@ vector<vector<float>> FaceLandmarks::detect_landmarks(string image_path){
return landmarks;
}
vector<vector<float>> FaceLandmarks::detect_landmarks_image(Mat image){
vector<vector<float>> FaceLandmarks::inference(Mat image){
vector<vector<float>> landmarks;
int width = image.cols;
int height = image.rows;
......
facerecognize.cpp
......@@ -205,7 +205,7 @@ double FaceRecognize::cos_distance(const vector<double>& base, const vector<doub
return simility;
}
double FaceRecognize::get_samilar_image(Mat image1,Mat image2){
double FaceRecognize::inference(Mat image1,Mat image2){
cv::resize(image1,image1,Size2d(input_size[0],input_size[1]));
cv::resize(image2,image2,Size2d(input_size[0],input_size[1]));
pretreat->convert(image1.data,input_size[0],input_size[1],0,input_tensor1);
......@@ -234,7 +234,7 @@ double FaceRecognize::get_samilar_image(Mat image1,Mat image2){
return cos_score;
}
double FaceRecognize::get_samilar(string image_path1,string image_path2){
double FaceRecognize::inference(string image_path1,string image_path2){
Mat image1 = cv::imread(image_path1);
Mat image2 = cv::imread(image_path2);
cv::resize(image1,image1,Size2d(input_size[0],input_size[1]));
......
include/facecomparison.h
......@@ -20,8 +20,8 @@ class FaceComparison{
//线程个数
int num_thread = 2;
//接口
bool face_compare(string image_path1,string image_path2);
bool face_compare_image(Mat image1,Mat image2);
bool inference(string image_path1,string image_path2);
bool inference(Mat image1,Mat image2);
private:
RetinaFace face_det;
......
include/facelandmarks.h
......@@ -21,8 +21,8 @@ class FaceLandmarks{
init_model(model_path);
};
bool init_model(string model_path);
vector<vector<float>> detect_landmarks(string image_path);
vector<vector<float>> detect_landmarks_image(Mat image);
vector<vector<float>> inference(string image_path);
vector<vector<float>> inference(Mat image);
private:
bool model_init;
......
include/facerecognize.h
......@@ -13,8 +13,8 @@ class FaceRecognize{
public:
int num_thread = 2;
// 推理
double get_samilar(string image_path1,string image_path2);
double get_samilar_image(Mat image1,Mat image2);
double inference(string image_path1,string image_path2);
double inference(Mat image1,Mat image2);
......
include/retinaface.h
......@@ -71,7 +71,7 @@ class RetinaFace{
bool init_model(string model_path);
// 推理
vector<Bbox> detect(string image_path);
vector<Bbox> detect_image(Mat image);
vector<Bbox> inference(string image_path);
vector<Bbox> inference(Mat image);
};
#endif
\ No newline at end of file
......
main.cpp
#include "facecomparison.h"
int main(){
// FaceLandmarks face_landmarks1 = FaceLandmarks("/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn2/model/det_landmarks_106_v0.0.1.mnn");
// FaceLandmarks face_landmarks1 = FaceLandmarks("/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn");
// vector<string> filenames;
// cv::glob("/home/situ/图片/img3", filenames, false);
// for(auto path:filenames){
// // cout<<path<<endl;
// Mat img1 =cv::imread(path);
// auto landmarks1 = face_landmarks1.detect_landmarks(path);
// auto landmarks1 = face_landmarks1.inference(img1);
// for(auto landm:landmarks1){
// cv::circle(img1,Point2d(landm[0],landm[1]),2,Scalar(255,0,0));
// }
......@@ -19,23 +19,22 @@ int main(){
Mat image2 = cv::imread("/data/face_recognize/pipeline_test/35326a760af111ec9f2300163e772630/310faceImageContent163047910353714.jpg");
string face_det_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_face_retina_mnn_1.0.0_v0.1.1.mnn";
string face_landm_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn";
// string face_rec_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/cls_face_mnn_1.0.0_v0.0.2.mnn";
string face_rec_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/cls_face_mnn_1.0.0_v0.1.1.mnn";
FaceComparison face_rec = FaceComparison(face_det_model,face_landm_model,face_rec_model);
bool result = face_rec.face_compare_image(image1,image2);
bool result = face_rec.inference(image1,image2);
cout<<result<<endl;
// string model_path = "/home/situ/qfs/sdk_project/mnn_projects/face_retinaface_mnn/det_face_retina_mnn_1.0.0_v0.1.1.mnn";
// string model_path = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_face_retina_mnn_1.0.0_v0.1.1.mnn";
// RetinaFace face_det = RetinaFace(model_path.c_str());
// Mat image = cv::imread("/home/situ/图片/2.png");
// vector<Bbox> result = face_det.detect_image(image);
// vector<Bbox> result = face_det.inference("/home/situ/图片/2.png");
// for(auto res:result){
// cv::rectangle(image,cv::Rect(res.xmin,res.ymin,res.xmax-res.xmin,res.ymax-res.ymin),Scalar(0,255,0),2);
// }
// cv::imshow("image",image);
// cv::waitKey(0);
return 0;
// return 0;
}
......
retinaface.cpp
......@@ -199,7 +199,7 @@ vector<Bbox> RetinaFace::bbox_process(vector<Bbox> bboxes,float frame_w,float fr
// 推理
vector<Bbox> RetinaFace::detect(string image_path){
vector<Bbox> RetinaFace::inference(string image_path){
Mat image = cv::imread(image_path);
float w_r=float(input_size[0])/float(image.cols);
float h_r=float(input_size[1])/float(image.rows);
......@@ -233,7 +233,7 @@ vector<Bbox> RetinaFace::detect(string image_path){
return results;
}
}
vector<Bbox> RetinaFace::detect_image(Mat image){
vector<Bbox> RetinaFace::inference(Mat image){
float w_r=float(input_size[0])/float(image.cols);
float h_r=float(input_size[1])/float(image.rows);
......
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