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1ee93083 by 乔峰昇
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add error_code

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Showing 32 changed files with 198 additions and 217 deletions
CMakeLists.txt
...@@ -6,13 +6,9 @@ set(CMAKE_CXX_STANDARD 11) ...@@ -6,13 +6,9 @@ set(CMAKE_CXX_STANDARD 11)
6 find_package(OpenCV REQUIRED) 6 find_package(OpenCV REQUIRED)
7 set(MNN_DIR /home/situ/MNN/MNN1.0/MNN) 7 set(MNN_DIR /home/situ/MNN/MNN1.0/MNN)
8 include_directories(${MNN_DIR}/include) 8 include_directories(${MNN_DIR}/include)
9 include_directories(/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/include) 9 include_directories(/home/situ/qfs/face_recognize_mnn/include)
10 LINK_DIRECTORIES(${MNN_DIR}/build) 10 link_directories(${MNN_DIR}/build)
11 set(FACECOMPARISON_DIR /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/lib)
12 # add_library(facecomparison SHARED facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp)
13 add_executable(main main.cpp facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp) 11 add_executable(main main.cpp facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp)
14 # add_executable(main main.cpp) 12 target_link_libraries(main -lMNN ${OpenCV_LIBS})
15 # add_executable(main z.cpp) 13
16 target_link_libraries(main ${FACECOMPARISON_DIR}/libfacecomparison.so -lMNN ${OpenCV_LIBS})
17 # target_link_libraries(facecomparison -lMNN ${OpenCV_LIBS})
18 14
......
build/CMakeCache.txt
1 # This is the CMakeCache file. 1 # This is the CMakeCache file.
2 # For build in directory: /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build 2 # For build in directory: /home/situ/qfs/face_recognize_mnn/build
3 # It was generated by CMake: /usr/bin/cmake 3 # It was generated by CMake: /usr/bin/cmake
4 # You can edit this file to change values found and used by cmake. 4 # You can edit this file to change values found and used by cmake.
5 # If you do not want to change any of the values, simply exit the editor. 5 # If you do not want to change any of the values, simply exit the editor.
...@@ -329,10 +329,10 @@ CUDA_rt_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/librt.so ...@@ -329,10 +329,10 @@ CUDA_rt_LIBRARY:FILEPATH=/usr/lib/x86_64-linux-gnu/librt.so
329 OpenCV_DIR:PATH=/usr/local/lib/cmake/opencv4 329 OpenCV_DIR:PATH=/usr/local/lib/cmake/opencv4
330 330
331 //Value Computed by CMake 331 //Value Computed by CMake
332 main_BINARY_DIR:STATIC=/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build 332 main_BINARY_DIR:STATIC=/home/situ/qfs/face_recognize_mnn/build
333 333
334 //Value Computed by CMake 334 //Value Computed by CMake
335 main_SOURCE_DIR:STATIC=/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn 335 main_SOURCE_DIR:STATIC=/home/situ/qfs/face_recognize_mnn
336 336
337 337
338 ######################## 338 ########################
...@@ -342,7 +342,7 @@ main_SOURCE_DIR:STATIC=/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mn ...@@ -342,7 +342,7 @@ main_SOURCE_DIR:STATIC=/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mn
342 //ADVANCED property for variable: CMAKE_AR 342 //ADVANCED property for variable: CMAKE_AR
343 CMAKE_AR-ADVANCED:INTERNAL=1 343 CMAKE_AR-ADVANCED:INTERNAL=1
344 //This is the directory where this CMakeCache.txt was created 344 //This is the directory where this CMakeCache.txt was created
345 CMAKE_CACHEFILE_DIR:INTERNAL=/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build 345 CMAKE_CACHEFILE_DIR:INTERNAL=/home/situ/qfs/face_recognize_mnn/build
346 //Major version of cmake used to create the current loaded cache 346 //Major version of cmake used to create the current loaded cache
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348 //Minor version of cmake used to create the current loaded cache 348 //Minor version of cmake used to create the current loaded cache
...@@ -423,7 +423,7 @@ CMAKE_HAVE_PTHREAD_CREATE:INTERNAL=1 ...@@ -423,7 +423,7 @@ CMAKE_HAVE_PTHREAD_CREATE:INTERNAL=1
423 CMAKE_HAVE_PTHREAD_H:INTERNAL=1 423 CMAKE_HAVE_PTHREAD_H:INTERNAL=1
424 //Source directory with the top level CMakeLists.txt file for this 424 //Source directory with the top level CMakeLists.txt file for this
425 // project 425 // project
426 CMAKE_HOME_DIRECTORY:INTERNAL=/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn 426 CMAKE_HOME_DIRECTORY:INTERNAL=/home/situ/qfs/face_recognize_mnn
427 //Install .so files without execute permission. 427 //Install .so files without execute permission.
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......
build/Makefile
...@@ -48,10 +48,10 @@ RM = /usr/bin/cmake -E remove -f ...@@ -48,10 +48,10 @@ RM = /usr/bin/cmake -E remove -f
48 EQUALS = = 48 EQUALS = =
49 49
50 # The top-level source directory on which CMake was run. 50 # The top-level source directory on which CMake was run.
51 CMAKE_SOURCE_DIR = /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn 51 CMAKE_SOURCE_DIR = /home/situ/qfs/face_recognize_mnn
52 52
53 # The top-level build directory on which CMake was run. 53 # The top-level build directory on which CMake was run.
54 CMAKE_BINARY_DIR = /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build 54 CMAKE_BINARY_DIR = /home/situ/qfs/face_recognize_mnn/build
55 55
56 #============================================================================= 56 #=============================================================================
57 # Targets provided globally by CMake. 57 # Targets provided globally by CMake.
...@@ -80,9 +80,9 @@ edit_cache/fast: edit_cache ...@@ -80,9 +80,9 @@ edit_cache/fast: edit_cache
80 80
81 # The main all target 81 # The main all target
82 all: cmake_check_build_system 82 all: cmake_check_build_system
83 $(CMAKE_COMMAND) -E cmake_progress_start /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles/progress.marks 83 $(CMAKE_COMMAND) -E cmake_progress_start /home/situ/qfs/face_recognize_mnn/build/CMakeFiles /home/situ/qfs/face_recognize_mnn/build/CMakeFiles/progress.marks
84 $(MAKE) -f CMakeFiles/Makefile2 all 84 $(MAKE) -f CMakeFiles/Makefile2 all
85 $(CMAKE_COMMAND) -E cmake_progress_start /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles 0 85 $(CMAKE_COMMAND) -E cmake_progress_start /home/situ/qfs/face_recognize_mnn/build/CMakeFiles 0
86 .PHONY : all 86 .PHONY : all
87 87
88 # The main clean target 88 # The main clean target
......
build/cmake_install.cmake
1 # Install script for directory: /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn 1 # Install script for directory: /home/situ/qfs/face_recognize_mnn
2 2
3 # Set the install prefix 3 # Set the install prefix
4 if(NOT DEFINED CMAKE_INSTALL_PREFIX) 4 if(NOT DEFINED CMAKE_INSTALL_PREFIX)
...@@ -45,5 +45,5 @@ endif() ...@@ -45,5 +45,5 @@ endif()
45 45
46 string(REPLACE ";" "\n" CMAKE_INSTALL_MANIFEST_CONTENT 46 string(REPLACE ";" "\n" CMAKE_INSTALL_MANIFEST_CONTENT
47 "${CMAKE_INSTALL_MANIFEST_FILES}") 47 "${CMAKE_INSTALL_MANIFEST_FILES}")
48 file(WRITE "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/${CMAKE_INSTALL_MANIFEST}" 48 file(WRITE "/home/situ/qfs/face_recognize_mnn/build/${CMAKE_INSTALL_MANIFEST}"
49 "${CMAKE_INSTALL_MANIFEST_CONTENT}") 49 "${CMAKE_INSTALL_MANIFEST_CONTENT}")
......
build/main
No preview for this file type
facecomparison.cpp
1 #include "facecomparison.h" 1 #include "facecomparison.h"
2 2
3 bool FaceComparison::init_model(string face_det_model,string face_landm_model,string face_rec_model,InitModelError &model_error){
4
5 face_det = RetinaFace();
6 face_det.confidence_threshold = confidence_threshold;
7 face_det.is_bbox_process = is_bbox_process;
8 face_det.num_thread=num_thread;
9 face_det.forward_type = forward_type;
10 bool init_det_code = face_det.init_model(face_det_model);
11 model_error.init_error.push_back(init_det_code);
12 face_landm =FaceLandmarks();
13 bool init_landm_code = face_landm.init_model(face_landm_model);
14 face_landm.num_thread=num_thread;
15 face_landm.forward_type=forward_type;
16 model_error.init_error.push_back(init_landm_code);
17 face_rec =FaceRecognize();
18 bool init_rec_code = face_rec.init_model(face_rec_model);
19 face_rec.num_thread=num_thread;
20 face_rec.forward_type=forward_type;
21 model_error.init_error.push_back(init_rec_code);
22 if(init_det_code&&init_landm_code&&init_rec_code){
23 return true;
24 }else{
25 return false;
26 }
27 }
3 28
4 bool FaceComparison::inference(string image1_path,string image2_path){ 29 int FaceComparison::inference(string image1_path,string image2_path,OutputInfo &output_info){
5 bool result=false; 30 bool result=false;
6 cv::Mat image1=cv::imread(image1_path); 31 cv::Mat image1=cv::imread(image1_path);
7 cv::Mat image2=cv::imread(image2_path); 32 cv::Mat image2=cv::imread(image2_path);
8 if(image1.empty()||image2.empty()){ 33 if(image1.empty()){
9 return false; 34 cout<<"Please check if the first picture path exists"<<endl;
35 output_info.error_code=9001;
36 return -1;
37 }
38 if(image2.empty()){
39 cout<<"Please check if the second picture path exists"<<endl;
40 output_info.error_code=9002;
41 return -1;
10 } 42 }
11 vector<Bbox> box1=face_det.inference(image1); 43 vector<Bbox> box1=face_det.inference(image1);
12 vector<Bbox> box2=face_det.inference(image2); 44 vector<Bbox> box2=face_det.inference(image2);
13 if(box1.empty()||box2.empty()){ 45 if(box1.empty()){
14 return false; 46 cout<<"No faces are detected in the first picture"<<endl;
47 output_info.error_code=9003;
48 return -1;
49 }
50 if(box2.empty()){
51 cout<<"No faces are detected in the second picture"<<endl;
52 output_info.error_code=9004;
53 return -1;
15 } 54 }
16 int max_box1=0; 55 int max_box1=0;
17 double max_area1=0,max_area2=0; 56 double max_area1=0,max_area2=0;
...@@ -47,18 +86,38 @@ bool FaceComparison::inference(string image1_path,string image2_path){ ...@@ -47,18 +86,38 @@ bool FaceComparison::inference(string image1_path,string image2_path){
47 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2); 86 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2);
48 double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2); 87 double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2);
49 if(samilar_score>face_recongnize_thr){ 88 if(samilar_score>face_recongnize_thr){
50 result=true; 89 output_info.error_code=0;
90 output_info.result=true;
91 }else{
92 output_info.error_code=0;
93 output_info.result=false;
51 } 94 }
52 } 95 }
53 return result; 96 return result;
54 } 97 }
55 98
56 bool FaceComparison::inference(Mat image1,Mat image2){ 99 int FaceComparison::inference(Mat image1,Mat image2,OutputInfo &output_info){
57 bool result=false; 100 if(image1.empty()){
101 cout<<"Please check if the first picture path exists"<<endl;
102 output_info.error_code=9001;
103 return -1;
104 }
105 if(image2.empty()){
106 cout<<"Please check if the second picture path exists"<<endl;
107 output_info.error_code=9002;
108 return -1;
109 }
58 vector<Bbox> box1=face_det.inference(image1); 110 vector<Bbox> box1=face_det.inference(image1);
59 vector<Bbox> box2=face_det.inference(image2); 111 vector<Bbox> box2=face_det.inference(image2);
60 if(box1.empty()||box2.empty()){ 112 if(box1.empty()){
61 return false; 113 cout<<"No faces are detected in the first picture"<<endl;
114 output_info.error_code=9003;
115 return -1;
116 }
117 if(box2.empty()){
118 cout<<"No faces are detected in the second picture"<<endl;
119 output_info.error_code=9004;
120 return -1;
62 } 121 }
63 int max_box1=0; 122 int max_box1=0;
64 double max_area1=0,max_area2=0; 123 double max_area1=0,max_area2=0;
...@@ -94,8 +153,12 @@ bool FaceComparison::inference(Mat image1,Mat image2){ ...@@ -94,8 +153,12 @@ bool FaceComparison::inference(Mat image1,Mat image2){
94 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2); 153 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2);
95 double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2); 154 double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2);
96 if(samilar_score>face_recongnize_thr){ 155 if(samilar_score>face_recongnize_thr){
97 result=true; 156 output_info.error_code=0;
157 output_info.result=true;
158 }else{
159 output_info.error_code=0;
160 output_info.result=false;
98 } 161 }
99 } 162 }
100 return result;
101 }
...\ No newline at end of file ...\ No newline at end of file
163 return 0;
164 }
......
facelandmarks.cpp
1 #include "facelandmarks.h" 1 #include "facelandmarks.h"
2 2
3 FaceLandmarks::FaceLandmarks(){ 3
4 model_init=false;
5 }
6 // FaceLandmarks::~FaceLandmarks(){ 4 // FaceLandmarks::~FaceLandmarks(){
7 // pfld_interpreter->releaseModel(); 5 // pfld_interpreter->releaseModel();
8 // pfld_interpreter->releaseSession(session); 6 // pfld_interpreter->releaseSession(session);
...@@ -36,7 +34,7 @@ bool FaceLandmarks::init_model(string model_path){ ...@@ -36,7 +34,7 @@ bool FaceLandmarks::init_model(string model_path){
36 pretreat = shared_ptr<MNN::CV::ImageProcess>(MNN::CV::ImageProcess::create(image_config)); 34 pretreat = shared_ptr<MNN::CV::ImageProcess>(MNN::CV::ImageProcess::create(image_config));
37 // pretreat->setMatrix(transforms); 35 // pretreat->setMatrix(transforms);
38 36
39 model_init = true; 37 return true;
40 } 38 }
41 39
42 vector<vector<float>> FaceLandmarks::inference(string image_path){ 40 vector<vector<float>> FaceLandmarks::inference(string image_path){
...@@ -86,4 +84,4 @@ vector<vector<float>> FaceLandmarks::inference(Mat image){ ...@@ -86,4 +84,4 @@ vector<vector<float>> FaceLandmarks::inference(Mat image){
86 landmarks.push_back(curr_pt); 84 landmarks.push_back(curr_pt);
87 } 85 }
88 return landmarks; 86 return landmarks;
89 }
...\ No newline at end of file ...\ No newline at end of file
87 }
......
facerecognize.cpp
1 #include "facerecognize.h"
2 1
3 FaceRecognize::FaceRecognize(){} 2
3 #include "facerecognize.h" FaceRecognize::FaceRecognize(){} // FaceRecognize::~FaceRecognize(){ // net->releaseModel(); // net->releaseSession(session1); // net->releaseSession(session2); // } bool FaceRecognize::init_model(string model_path){ net=shared_ptr<MNN::Interpreter>(MNN::Interpreter::createFromFile(model_path.c_str())); ScheduleConfig config; config.numThread=num_thread; config.type=forward_type; session1 = net->createSession(config); session2 = net->createSession(config); input_tensor1 = net->getSessionInput(session1,NULL); input_tensor2 = net->getSessionInput(session2,NULL); net->resizeTensor(input_tensor1,{1,3,input_size[1],input_size[0]}); net->resizeSession(session1); net->resizeTensor(input_tensor2,{1,3,input_size[1],input_size[0]}); net->resizeSession(session2); //数据预处理 MNN::CV::ImageProcess::Config image_config; image_config.sourceFormat = MNN::CV::BGR; image_config.destFormat = MNN::CV::BGR; ::memcpy(image_config.mean,mean,sizeof(mean)); ::memcpy(image_config.normal,normal,sizeof(normal)); pretreat = shared_ptr<MNN::CV::ImageProcess>(MNN::CV::ImageProcess::create(image_config)); model_init = true; return model_init; } cv::Mat FaceRecognize::meanAxis0(const cv::Mat &src) { int num = src.rows; int dim = src.cols; cv::Mat output(1,dim,CV_32F); for(int i = 0 ; i < dim; i ++) { float sum = 0 ; for(int j = 0 ; j < num ; j++) { sum+=src.at<float>(j,i); } output.at<float>(0,i) = sum/num; } return output; } cv::Mat FaceRecognize::elementwiseMinus(const cv::Mat &A,const cv::Mat &B) { cv::Mat output(A.rows,A.cols,A.type()); assert(B.cols == A.cols); if(B.cols == A.cols) { for(int i = 0 ; i < A.rows; i ++) { for(int j = 0 ; j < B.cols; j++) { output.at<float>(i,j) = A.at<float>(i,j) - B.at<float>(0,j); } } } return output; } cv::Mat FaceRecognize::varAxis0(const cv::Mat &src) { cv:Mat temp_ = elementwiseMinus(src,meanAxis0(src)); cv::multiply(temp_ ,temp_ ,temp_ ); return meanAxis0(temp_); } int FaceRecognize::MatrixRank(cv::Mat M) { Mat w, u, vt; SVD::compute(M, w, u, vt); Mat1b nonZeroSingularValues = w > 0.0001; int rank = countNonZero(nonZeroSingularValues); return rank; } cv::Mat FaceRecognize::similarTransform(cv::Mat src,cv::Mat dst) { int num = src.rows; int dim = src.cols; cv::Mat src_mean = meanAxis0(src); cv::Mat dst_mean = meanAxis0(dst); cv::Mat src_demean = elementwiseMinus(src, src_mean); cv::Mat dst_demean = elementwiseMinus(dst, dst_mean); cv::Mat A = (dst_demean.t() * src_demean) / static_cast<float>(num); cv::Mat d(dim, 1, CV_32F); d.setTo(1.0f); if (cv::determinant(A) < 0) { d.at<float>(dim - 1, 0) = -1; } Mat T = cv::Mat::eye(dim + 1, dim + 1, CV_32F); cv::Mat U, S, V; SVD::compute(A, S,U, V); // the SVD function in opencv differ from scipy . int rank = MatrixRank(A); if (rank == 0) { assert(rank == 0); } else if (rank == dim - 1) { if (cv::determinant(U) * cv::determinant(V) > 0) { T.rowRange(0, dim).colRange(0, dim) = U * V; } else { int s = d.at<float>(dim - 1, 0) = -1; d.at<float>(dim - 1, 0) = -1; T.rowRange(0, dim).colRange(0, dim) = U * V; cv::Mat diag_ = cv::Mat::diag(d); cv::Mat twp = diag_*V; //np.dot(np.diag(d), V.T) Mat B = Mat::zeros(3, 3, CV_8UC1); Mat C = B.diag(0); T.rowRange(0, dim).colRange(0, dim) = U* twp; d.at<float>(dim - 1, 0) = s; } } else{ cv::Mat diag_ = cv::Mat::diag(d); cv::Mat twp = diag_*V.t(); //np.dot(np.diag(d), V.T) cv::Mat res = U* twp; // U T.rowRange(0, dim).colRange(0, dim) = -U.t()* twp; } cv::Mat var_ = varAxis0(src_demean); float val = cv::sum(var_).val[0]; cv::Mat res; cv::multiply(d,S,res); float scale = 1.0/val*cv::sum(res).val[0]; T.rowRange(0, dim).colRange(0, dim) = - T.rowRange(0, dim).colRange(0, dim).t(); cv::Mat temp1 = T.rowRange(0, dim).colRange(0, dim); // T[:dim, :dim] cv::Mat temp2 = src_mean.t(); //src_mean.T cv::Mat temp3 = temp1*temp2; // np.dot(T[:dim, :dim], src_mean.T) cv::Mat temp4 = scale*temp3; T.rowRange(0, dim).colRange(dim, dim+1)= -(temp4 - dst_mean.t()) ; T.rowRange(0, dim).colRange(0, dim) *= scale; return T; } Mat FaceRecognize::preprocess_face(Mat image,vector<vector<float>> land){ Mat out; cv::resize(image,out,Size(112,112)); float default1[5][2] = { {38.2946f, 51.6963f}, {73.5318f, 51.6963f}, {56.0252f, 71.7366f}, {41.5493f, 92.3655f}, {70.7299f, 92.3655f} }; float lands[5][2]={ {float(land[0][0]*112.0)/float(image.cols),float(land[0][1]*112.0)/float(image.rows)}, {float(land[1][0]*112.0)/float(image.cols),float(land[1][1]*112.0)/float(image.rows)}, {float(land[2][0]*112.0)/float(image.cols),float(land[2][1]*112.0)/float(image.rows)}, {float(land[3][0]*112.0)/float(image.cols),float(land[3][1]*112.0)/float(image.rows)}, {float(land[4][0]*112.0)/float(image.cols),float(land[4][1]*112.0)/float(image.rows)} }; cv::Mat src(5,2,CV_32FC1,default1); memcpy(src.data, default1, 2 * 5 * sizeof(float)); cv::Mat dst(5,2,CV_32FC1,lands); memcpy(dst.data, lands, 2 * 5 * sizeof(float)); cv::Mat M = similarTransform(dst, src); float M_[2][3]={ {M.at<float>(0,0),M.at<float>(0,1),M.at<float>(0,2)}, {M.at<float>(1,0),M.at<float>(1,1),M.at<float>(1,2)}, }; cv::Mat M__(2,3,CV_32FC1,M_); cv::Mat align_image; cv::warpAffine(out,align_image,M__,Size(112, 112)); return align_image; } double FaceRecognize::getMold(const vector<double>& vec) { int n = vec.size(); double sum = 0.0; for (int i = 0; i < n; ++i) sum += vec[i] * vec[i]; return sqrt(sum); } double FaceRecognize::cos_distance(const vector<double>& base, const vector<double>& target) { int n = base.size(); assert(n == target.size()); double tmp = 0.0; for (int i = 0; i < n; ++i) tmp += base[i] * target[i]; double simility = tmp / (getMold(base)*getMold(target)); return simility; } 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); pretreat->convert(image2.data,input_size[0],input_size[1],0,input_tensor2); //推理 net->runSession(session1); auto output1= net->getSessionOutput(session1, NULL); //推理 net->runSession(session2); auto output2= net->getSessionOutput(session2, NULL); MNN::Tensor feat_tensor1(output1, output1->getDimensionType()); MNN::Tensor feat_tensor2(output2, output2->getDimensionType()); output1->copyToHostTensor(&feat_tensor1); output2->copyToHostTensor(&feat_tensor2); auto feature1 = feat_tensor1.host<float>(); auto feature2 = feat_tensor2.host<float>(); vector<double> v1,v2; for(int i=0;i<int(feat_tensor1.size()/4);i++){ v1.push_back((double)feature1[i]); v2.push_back((double)feature2[i]); } double cos_score=cos_distance(v1,v2); return cos_score; } 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])); cv::resize(image2,image2,Size2d(input_size[0],input_size[1])); pretreat->convert(image1.data,input_size[0],input_size[1],0,input_tensor1); pretreat->convert(image2.data,input_size[0],input_size[1],0,input_tensor2); //推理 net->runSession(session1); auto output1= net->getSessionOutput(session1, NULL); //推理 net->runSession(session2); auto output2= net->getSessionOutput(session2, NULL); MNN::Tensor feat_tensor1(output1, output1->getDimensionType()); MNN::Tensor feat_tensor2(output2, output2->getDimensionType()); output1->copyToHostTensor(&feat_tensor1); output2->copyToHostTensor(&feat_tensor2); auto feature1 = feat_tensor1.host<float>(); auto feature2 = feat_tensor2.host<float>(); vector<double> v1,v2; for(int i=0;i<int(feat_tensor1.size()/4);i++){ v1.push_back((double)feature1[i]); v2.push_back((double)feature2[i]); } double cos_score=cos_distance(v1,v2); return cos_score; }
4
5 #include "facerecognize.h"
4 6
5 // FaceRecognize::~FaceRecognize(){ 7 // FaceRecognize::~FaceRecognize(){
6 // net->releaseModel(); 8 // net->releaseModel();
...@@ -10,7 +12,9 @@ FaceRecognize::FaceRecognize(){} ...@@ -10,7 +12,9 @@ FaceRecognize::FaceRecognize(){}
10 12
11 bool FaceRecognize::init_model(string model_path){ 13 bool FaceRecognize::init_model(string model_path){
12 net=shared_ptr<MNN::Interpreter>(MNN::Interpreter::createFromFile(model_path.c_str())); 14 net=shared_ptr<MNN::Interpreter>(MNN::Interpreter::createFromFile(model_path.c_str()));
13 15 if(nullptr==net){
16 return false;
17 }
14 ScheduleConfig config; 18 ScheduleConfig config;
15 config.numThread=num_thread; 19 config.numThread=num_thread;
16 config.type=forward_type; 20 config.type=forward_type;
...@@ -32,8 +36,8 @@ bool FaceRecognize::init_model(string model_path){ ...@@ -32,8 +36,8 @@ bool FaceRecognize::init_model(string model_path){
32 ::memcpy(image_config.mean,mean,sizeof(mean)); 36 ::memcpy(image_config.mean,mean,sizeof(mean));
33 ::memcpy(image_config.normal,normal,sizeof(normal)); 37 ::memcpy(image_config.normal,normal,sizeof(normal));
34 pretreat = shared_ptr<MNN::CV::ImageProcess>(MNN::CV::ImageProcess::create(image_config)); 38 pretreat = shared_ptr<MNN::CV::ImageProcess>(MNN::CV::ImageProcess::create(image_config));
35 model_init = true; 39
36 return model_init; 40 return true;
37 } 41 }
38 42
39 43
......
include/facecomparison.h
...@@ -6,11 +6,20 @@ ...@@ -6,11 +6,20 @@
6 #include "retinaface.h" 6 #include "retinaface.h"
7 #include "facelandmarks.h" 7 #include "facelandmarks.h"
8 8
9 struct OutputInfo{
10 int error_code;
11 bool result;
12 };
13
14 struct InitModelError{
15 vector<bool> init_error;
16 };
17
9 18
10 class FaceComparison{ 19 class FaceComparison{
11 public: 20 public:
12 // 人脸检测阈值 21 // 人脸检测阈值
13 float confidence_threshold = 0.2; 22 float confidence_threshold = 0.5;
14 // 是否进行人脸外廓 23 // 是否进行人脸外廓
15 bool is_bbox_process = true; 24 bool is_bbox_process = true;
16 25
...@@ -25,8 +34,8 @@ class FaceComparison{ ...@@ -25,8 +34,8 @@ class FaceComparison{
25 34
26 35
27 //接口 36 //接口
28 bool inference(string image_path1,string image_path2); 37 int inference(string image_path1,string image_path2,OutputInfo &output_info);
29 bool inference(Mat image1,Mat image2); 38 int inference(Mat image1,Mat image2,OutputInfo &output_info);
30 39
31 private: 40 private:
32 RetinaFace face_det; 41 RetinaFace face_det;
...@@ -35,18 +44,6 @@ class FaceComparison{ ...@@ -35,18 +44,6 @@ class FaceComparison{
35 44
36 public: 45 public:
37 FaceComparison(){}; 46 FaceComparison(){};
38 FaceComparison(string face_det_model,string face_landm_model,string face_rec_model){ 47 bool init_model(string face_det_model,string face_landm_model,string face_rec_model,InitModelError &model_error);
39 face_det = RetinaFace(face_det_model);
40 face_det.confidence_threshold = confidence_threshold;
41 face_det.is_bbox_process = is_bbox_process;
42 face_det.num_thread=num_thread;
43 face_det.forward_type = forward_type;
44 face_landm =FaceLandmarks(face_landm_model);
45 face_landm.num_thread=num_thread;
46 face_landm.forward_type=forward_type;
47 face_rec =FaceRecognize(face_rec_model);
48 face_rec.num_thread=num_thread;
49 face_rec.forward_type=forward_type;
50 }
51 }; 48 };
52 #endif
...\ No newline at end of file ...\ No newline at end of file
49 #endif
......
include/facelandmarks.h
...@@ -16,11 +16,8 @@ class FaceLandmarks{ ...@@ -16,11 +16,8 @@ class FaceLandmarks{
16 MNNForwardType forward_type = MNN_FORWARD_CPU; 16 MNNForwardType forward_type = MNN_FORWARD_CPU;
17 17
18 public: 18 public:
19 FaceLandmarks(); 19 FaceLandmarks(){};
20 // ~FaceLandmarks(); 20 // ~FaceLandmarks();
21 FaceLandmarks(string model_path){
22 init_model(model_path);
23 };
24 bool init_model(string model_path); 21 bool init_model(string model_path);
25 vector<vector<float>> inference(string image_path); 22 vector<vector<float>> inference(string image_path);
26 vector<vector<float>> inference(Mat image); 23 vector<vector<float>> inference(Mat image);
...@@ -34,3 +31,4 @@ class FaceLandmarks{ ...@@ -34,3 +31,4 @@ class FaceLandmarks{
34 shared_ptr<MNN::CV::ImageProcess> pretreat; 31 shared_ptr<MNN::CV::ImageProcess> pretreat;
35 }; 32 };
36 #endif 33 #endif
34
......
include/facerecognize.h
...@@ -35,7 +35,7 @@ class FaceRecognize{ ...@@ -35,7 +35,7 @@ class FaceRecognize{
35 float normal[3] = {1.0f/127.5f,1.0f/127.5f,1.0f/127.5f}; 35 float normal[3] = {1.0f/127.5f,1.0f/127.5f,1.0f/127.5f};
36 36
37 public: 37 public:
38 FaceRecognize(); 38 FaceRecognize(){};
39 // ~FaceRecognize(); 39 // ~FaceRecognize();
40 FaceRecognize(string model_path){ 40 FaceRecognize(string model_path){
41 init_model(model_path); 41 init_model(model_path);
......
include/retinaface.h
...@@ -63,15 +63,12 @@ class RetinaFace{ ...@@ -63,15 +63,12 @@ class RetinaFace{
63 63
64 public: 64 public:
65 65
66 RetinaFace(); 66 RetinaFace(){};
67 // ~RetinaFace(); 67 // ~RetinaFace();
68 RetinaFace(string model_path){
69 init_model(model_path);
70 }
71 bool init_model(string model_path); 68 bool init_model(string model_path);
72 69
73 // 推理 70 // 推理
74 vector<Bbox> inference(string image_path); 71 vector<Bbox> inference(string image_path);
75 vector<Bbox> inference(Mat image); 72 vector<Bbox> inference(Mat image);
76 }; 73 };
77 #endif
...\ No newline at end of file ...\ No newline at end of file
74 #endif
......
lib/libfacecomparison.so deleted 100755 → 0
No preview for this file type
main.cpp
1 #include "facecomparison.h" 1 #include "facecomparison.h"
2 int main(){ 2 int main(){
3 // FaceLandmarks face_landmarks1 = FaceLandmarks("/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn"); 3 // FaceLandmarks face_landmarks1 = FaceLandmarks();
4 // face_landmarks1.init_model("/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn");
4 // vector<string> filenames; 5 // vector<string> filenames;
5 // cv::glob("/home/situ/图片/img3", filenames, false); 6 // cv::glob("/home/situ/图片/img3", filenames, false);
6 // for(auto path:filenames){ 7 // for(auto path:filenames){
...@@ -17,14 +18,16 @@ int main(){ ...@@ -17,14 +18,16 @@ int main(){
17 18
18 Mat image1 = cv::imread("/data/face_recognize/pipeline_test/35326a760af111ec9f2300163e772630/310cardImageContent163047910320427.jpg"); 19 Mat image1 = cv::imread("/data/face_recognize/pipeline_test/35326a760af111ec9f2300163e772630/310cardImageContent163047910320427.jpg");
19 Mat image2 = cv::imread("/data/face_recognize/pipeline_test/35326a760af111ec9f2300163e772630/310faceImageContent163047910353714.jpg"); 20 Mat image2 = cv::imread("/data/face_recognize/pipeline_test/35326a760af111ec9f2300163e772630/310faceImageContent163047910353714.jpg");
20 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"; 21 string face_det_model = "/home/situ/qfs/face_recognize_mnn/model/det_face_retina_mnn_1.0.0_v0.1.1.mnn";
21 string face_landm_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn"; 22 string face_landm_model = "/home/situ/qfs/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn";
22 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"; 23 string face_rec_model = "/home/situ/qfs/face_recognize_mnn/model/cls_face_mnn_1.0.0_v0.1.1.mnn";
23
24 FaceComparison face_rec = FaceComparison(face_det_model,face_landm_model,face_rec_model);
25 bool result = face_rec.inference(image1,image2);
26 cout<<result<<endl;
27 24
25 InitModelError init_model_code;
26 OutputInfo output_info;
27 FaceComparison face_rec = FaceComparison();
28 bool init_model = face_rec.init_model(face_det_model,face_landm_model,face_rec_model,init_model_code);
29 int result = face_rec.inference(image1,image2,output_info);
30 cout<<output_info.error_code<<" "<<output_info.result<<endl;
28 31
29 // 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"; 32 // 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";
30 // RetinaFace face_det = RetinaFace(model_path.c_str()); 33 // RetinaFace face_det = RetinaFace(model_path.c_str());
...@@ -38,3 +41,4 @@ int main(){ ...@@ -38,3 +41,4 @@ int main(){
38 // cv::waitKey(0); 41 // cv::waitKey(0);
39 // return 0; 42 // return 0;
40 } 43 }
44
......
retinaface.cpp
1 #include "retinaface.h" 1 #include "retinaface.h"
2 2
3 RetinaFace::RetinaFace(){}
4 3
5 // RetinaFace::~RetinaFace(){ 4 // RetinaFace::~RetinaFace(){
6 // net->releaseModel(); 5 // net->releaseModel();
...@@ -28,7 +27,7 @@ bool RetinaFace::init_model(string model_path){ ...@@ -28,7 +27,7 @@ bool RetinaFace::init_model(string model_path){
28 ::memcpy(image_config.mean,mean,sizeof(mean)); 27 ::memcpy(image_config.mean,mean,sizeof(mean));
29 pretreat = shared_ptr<MNN::CV::ImageProcess>(CV::ImageProcess::create(image_config)); 28 pretreat = shared_ptr<MNN::CV::ImageProcess>(CV::ImageProcess::create(image_config));
30 29
31 model_init = true; 30 return true;
32 } 31 }
33 32
34 33
...@@ -267,4 +266,4 @@ vector<Bbox> RetinaFace::inference(Mat image){ ...@@ -267,4 +266,4 @@ vector<Bbox> RetinaFace::inference(Mat image){
267 }else{ 266 }else{
268 return results; 267 return results;
269 } 268 }
270 }
...\ No newline at end of file ...\ No newline at end of file
269 }
......
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