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update inference

1 parent 4a94151f
Inline Side-by-side
Showing 31 changed files with 1372 additions and 265 deletions
CMakeLists.txt
...@@ -10,9 +10,9 @@ include_directories(/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/i ...@@ -10,9 +10,9 @@ include_directories(/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/i
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) 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) 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) 13 add_executable(main main.cpp facerecognize.cpp retinaface.cpp facelandmarks.cpp facecomparison.cpp)
14 add_executable(main main.cpp) 14 # add_executable(main main.cpp)
15 # add_executable(main z.cpp) 15 # add_executable(main z.cpp)
16 target_link_libraries(main ${FACECOMPARISON_DIR}/libfacecomparison.so -lMNN ${OpenCV_LIBS}) 16 # target_link_libraries(main ${FACECOMPARISON_DIR}/libfacecomparison.so -lMNN ${OpenCV_LIBS})
17 # target_link_libraries(facecomparison -lMNN ${OpenCV_LIBS}) 17 target_link_libraries(main -lMNN ${OpenCV_LIBS})
18 18
......
README.md
...@@ -21,10 +21,12 @@ FaceComparison face_rec=FaceComparison(det_model_path,landm_model_path,rec_model ...@@ -21,10 +21,12 @@ FaceComparison face_rec=FaceComparison(det_model_path,landm_model_path,rec_model
21 int num_thread = 2; 21 int num_thread = 2;
22 22
23 接口(返回结果 bool:true/false) 23 接口(返回结果 bool:true/false)
24 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 24
25 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 25 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
26 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
26 27
27 编译 28 编译
29
28 将CMakeLists.txt 中 set(FACECOMPARISON_DIR /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/lib) 30 将CMakeLists.txt 中 set(FACECOMPARISON_DIR /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/lib)
29 改为lib文件夹所在的绝对地址 31 改为lib文件夹所在的绝对地址
30 mkdir build 32 mkdir build
......
build/CMakeFiles/CMakeError.log
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119 arg [/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/crti.o] ==> ignore 119 arg [/usr/lib/gcc/x86_64-linux-gnu/7/../../../x86_64-linux-gnu/crti.o] ==> ignore
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127 arg [-L/usr/lib/../lib] ==> dir [/usr/lib/../lib] 127 arg [-L/usr/lib/../lib] ==> dir [/usr/lib/../lib]
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198 Detecting C [-std=c90] compiler features compiled with the following output: 198 Detecting C [-std=c90] compiler features compiled with the following output:
199 Change Dir: /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles/CMakeTmp 199 Change Dir: /home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/build/CMakeFiles/CMakeTmp
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201 Run Build Command:"/usr/bin/make" "cmTC_82daa/fast" 201 Run Build Command:"/usr/bin/make" "cmTC_97aa8/fast"
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facecomparison.cpp
1 #include "facecomparison.h" 1 #include "facecomparison.h"
2 2
3 3
4 bool FaceComparison::face_compare(string image1_path,string image2_path){ 4 bool FaceComparison::inference(string image1_path,string image2_path){
5 bool result=false; 5 bool result=false;
6 cv::Mat image1=cv::imread(image1_path); 6 cv::Mat image1=cv::imread(image1_path);
7 cv::Mat image2=cv::imread(image2_path); 7 cv::Mat image2=cv::imread(image2_path);
8 if(image1.empty()||image2.empty()){ 8 if(image1.empty()||image2.empty()){
9 return false; 9 return false;
10 } 10 }
11 vector<Bbox> box1=face_det.detect_image(image1); 11 vector<Bbox> box1=face_det.inference(image1);
12 vector<Bbox> box2=face_det.detect_image(image2); 12 vector<Bbox> box2=face_det.inference(image2);
13 if(box1.empty()||box2.empty()){ 13 if(box1.empty()||box2.empty()){
14 return false; 14 return false;
15 } 15 }
...@@ -24,7 +24,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){ ...@@ -24,7 +24,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
24 } 24 }
25 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); 25 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);
26 Mat face_area1=image1(rect1); 26 Mat face_area1=image1(rect1);
27 vector<vector<float>> landms1=face_landm.detect_landmarks_image(face_area1); 27 vector<vector<float>> landms1=face_landm.inference(face_area1);
28 vector<vector<float>> land1={ 28 vector<vector<float>> land1={
29 {float(landms1[104][0]),float(landms1[104][1])}, 29 {float(landms1[104][0]),float(landms1[104][1])},
30 {float(landms1[105][0]),float(landms1[105][1])}, 30 {float(landms1[105][0]),float(landms1[105][1])},
...@@ -36,7 +36,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){ ...@@ -36,7 +36,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
36 for(int j=0;j<box2.size();++j){ 36 for(int j=0;j<box2.size();++j){
37 Rect rect2=Rect(box2[j].xmin,box2[j].ymin,box2[j].xmax-box2[j].xmin,box2[j].ymax-box2[j].ymin); 37 Rect rect2=Rect(box2[j].xmin,box2[j].ymin,box2[j].xmax-box2[j].xmin,box2[j].ymax-box2[j].ymin);
38 Mat face_area2=image2(rect2); 38 Mat face_area2=image2(rect2);
39 vector<vector<float>> landms2=face_landm.detect_landmarks_image(face_area2); 39 vector<vector<float>> landms2=face_landm.inference(face_area2);
40 vector<vector<float>> land2={ 40 vector<vector<float>> land2={
41 {float(landms2[104][0]),float(landms2[104][1])}, 41 {float(landms2[104][0]),float(landms2[104][1])},
42 {float(landms2[105][0]),float(landms2[105][1])}, 42 {float(landms2[105][0]),float(landms2[105][1])},
...@@ -45,7 +45,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){ ...@@ -45,7 +45,7 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
45 {float(landms2[90][0]),float(landms2[90][1])} 45 {float(landms2[90][0]),float(landms2[90][1])}
46 }; 46 };
47 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2); 47 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2);
48 double samilar_score=face_rec.get_samilar_image(align_resize_image1,align_resize_image2); 48 double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2);
49 if(samilar_score>face_recongnize_thr){ 49 if(samilar_score>face_recongnize_thr){
50 result=true; 50 result=true;
51 } 51 }
...@@ -53,10 +53,10 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){ ...@@ -53,10 +53,10 @@ bool FaceComparison::face_compare(string image1_path,string image2_path){
53 return result; 53 return result;
54 } 54 }
55 55
56 bool FaceComparison::face_compare_image(Mat image1,Mat image2){ 56 bool FaceComparison::inference(Mat image1,Mat image2){
57 bool result=false; 57 bool result=false;
58 vector<Bbox> box1=face_det.detect_image(image1); 58 vector<Bbox> box1=face_det.inference(image1);
59 vector<Bbox> box2=face_det.detect_image(image2); 59 vector<Bbox> box2=face_det.inference(image2);
60 if(box1.empty()||box2.empty()){ 60 if(box1.empty()||box2.empty()){
61 return false; 61 return false;
62 } 62 }
...@@ -71,7 +71,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){ ...@@ -71,7 +71,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){
71 } 71 }
72 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); 72 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);
73 Mat face_area1=image1(rect1); 73 Mat face_area1=image1(rect1);
74 vector<vector<float>> landms1=face_landm.detect_landmarks_image(face_area1); 74 vector<vector<float>> landms1=face_landm.inference(face_area1);
75 vector<vector<float>> land1={ 75 vector<vector<float>> land1={
76 {float(landms1[104][0]),float(landms1[104][1])}, 76 {float(landms1[104][0]),float(landms1[104][1])},
77 {float(landms1[105][0]),float(landms1[105][1])}, 77 {float(landms1[105][0]),float(landms1[105][1])},
...@@ -83,7 +83,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){ ...@@ -83,7 +83,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){
83 for(int j=0;j<box2.size();++j){ 83 for(int j=0;j<box2.size();++j){
84 Rect rect2=Rect(box2[j].xmin,box2[j].ymin,box2[j].xmax-box2[j].xmin,box2[j].ymax-box2[j].ymin); 84 Rect rect2=Rect(box2[j].xmin,box2[j].ymin,box2[j].xmax-box2[j].xmin,box2[j].ymax-box2[j].ymin);
85 Mat face_area2=image2(rect2); 85 Mat face_area2=image2(rect2);
86 vector<vector<float>> landms2=face_landm.detect_landmarks_image(face_area2); 86 vector<vector<float>> landms2=face_landm.inference(face_area2);
87 vector<vector<float>> land2={ 87 vector<vector<float>> land2={
88 {float(landms2[104][0]),float(landms2[104][1])}, 88 {float(landms2[104][0]),float(landms2[104][1])},
89 {float(landms2[105][0]),float(landms2[105][1])}, 89 {float(landms2[105][0]),float(landms2[105][1])},
...@@ -92,7 +92,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){ ...@@ -92,7 +92,7 @@ bool FaceComparison::face_compare_image(Mat image1,Mat image2){
92 {float(landms2[90][0]),float(landms2[90][1])} 92 {float(landms2[90][0]),float(landms2[90][1])}
93 }; 93 };
94 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2); 94 Mat align_resize_image2=face_rec.preprocess_face(face_area2,land2);
95 double samilar_score=face_rec.get_samilar_image(align_resize_image1,align_resize_image2); 95 double samilar_score=face_rec.inference(align_resize_image1,align_resize_image2);
96 if(samilar_score>face_recongnize_thr){ 96 if(samilar_score>face_recongnize_thr){
97 result=true; 97 result=true;
98 } 98 }
......
facelandmarks.cpp
...@@ -39,7 +39,7 @@ bool FaceLandmarks::init_model(string model_path){ ...@@ -39,7 +39,7 @@ bool FaceLandmarks::init_model(string model_path){
39 model_init = true; 39 model_init = true;
40 } 40 }
41 41
42 vector<vector<float>> FaceLandmarks::detect_landmarks(string image_path){ 42 vector<vector<float>> FaceLandmarks::inference(string image_path){
43 Mat image = cv::imread(image_path); 43 Mat image = cv::imread(image_path);
44 vector<vector<float>> landmarks; 44 vector<vector<float>> landmarks;
45 int width = image.cols; 45 int width = image.cols;
...@@ -64,7 +64,7 @@ vector<vector<float>> FaceLandmarks::detect_landmarks(string image_path){ ...@@ -64,7 +64,7 @@ vector<vector<float>> FaceLandmarks::detect_landmarks(string image_path){
64 return landmarks; 64 return landmarks;
65 } 65 }
66 66
67 vector<vector<float>> FaceLandmarks::detect_landmarks_image(Mat image){ 67 vector<vector<float>> FaceLandmarks::inference(Mat image){
68 vector<vector<float>> landmarks; 68 vector<vector<float>> landmarks;
69 int width = image.cols; 69 int width = image.cols;
70 int height = image.rows; 70 int height = image.rows;
......
facerecognize.cpp
...@@ -205,7 +205,7 @@ double FaceRecognize::cos_distance(const vector<double>& base, const vector<doub ...@@ -205,7 +205,7 @@ double FaceRecognize::cos_distance(const vector<double>& base, const vector<doub
205 return simility; 205 return simility;
206 } 206 }
207 207
208 double FaceRecognize::get_samilar_image(Mat image1,Mat image2){ 208 double FaceRecognize::inference(Mat image1,Mat image2){
209 cv::resize(image1,image1,Size2d(input_size[0],input_size[1])); 209 cv::resize(image1,image1,Size2d(input_size[0],input_size[1]));
210 cv::resize(image2,image2,Size2d(input_size[0],input_size[1])); 210 cv::resize(image2,image2,Size2d(input_size[0],input_size[1]));
211 pretreat->convert(image1.data,input_size[0],input_size[1],0,input_tensor1); 211 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){ ...@@ -234,7 +234,7 @@ double FaceRecognize::get_samilar_image(Mat image1,Mat image2){
234 return cos_score; 234 return cos_score;
235 } 235 }
236 236
237 double FaceRecognize::get_samilar(string image_path1,string image_path2){ 237 double FaceRecognize::inference(string image_path1,string image_path2){
238 Mat image1 = cv::imread(image_path1); 238 Mat image1 = cv::imread(image_path1);
239 Mat image2 = cv::imread(image_path2); 239 Mat image2 = cv::imread(image_path2);
240 cv::resize(image1,image1,Size2d(input_size[0],input_size[1])); 240 cv::resize(image1,image1,Size2d(input_size[0],input_size[1]));
......
include/facecomparison.h
...@@ -20,8 +20,8 @@ class FaceComparison{ ...@@ -20,8 +20,8 @@ class FaceComparison{
20 //线程个数 20 //线程个数
21 int num_thread = 2; 21 int num_thread = 2;
22 //接口 22 //接口
23 bool face_compare(string image_path1,string image_path2); 23 bool inference(string image_path1,string image_path2);
24 bool face_compare_image(Mat image1,Mat image2); 24 bool inference(Mat image1,Mat image2);
25 25
26 private: 26 private:
27 RetinaFace face_det; 27 RetinaFace face_det;
......
include/facelandmarks.h
...@@ -21,8 +21,8 @@ class FaceLandmarks{ ...@@ -21,8 +21,8 @@ class FaceLandmarks{
21 init_model(model_path); 21 init_model(model_path);
22 }; 22 };
23 bool init_model(string model_path); 23 bool init_model(string model_path);
24 vector<vector<float>> detect_landmarks(string image_path); 24 vector<vector<float>> inference(string image_path);
25 vector<vector<float>> detect_landmarks_image(Mat image); 25 vector<vector<float>> inference(Mat image);
26 26
27 private: 27 private:
28 bool model_init; 28 bool model_init;
......
include/facerecognize.h
...@@ -13,8 +13,8 @@ class FaceRecognize{ ...@@ -13,8 +13,8 @@ class FaceRecognize{
13 public: 13 public:
14 int num_thread = 2; 14 int num_thread = 2;
15 // 推理 15 // 推理
16 double get_samilar(string image_path1,string image_path2); 16 double inference(string image_path1,string image_path2);
17 double get_samilar_image(Mat image1,Mat image2); 17 double inference(Mat image1,Mat image2);
18 18
19 19
20 20
......
include/retinaface.h
...@@ -71,7 +71,7 @@ class RetinaFace{ ...@@ -71,7 +71,7 @@ class RetinaFace{
71 bool init_model(string model_path); 71 bool init_model(string model_path);
72 72
73 // 推理 73 // 推理
74 vector<Bbox> detect(string image_path); 74 vector<Bbox> inference(string image_path);
75 vector<Bbox> detect_image(Mat image); 75 vector<Bbox> inference(Mat image);
76 }; 76 };
77 #endif 77 #endif
...\ No newline at end of file ...\ No newline at end of file
......
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_mnn2/model/det_landmarks_106_v0.0.1.mnn"); 3 // FaceLandmarks face_landmarks1 = FaceLandmarks("/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.mnn");
4 // vector<string> filenames; 4 // vector<string> filenames;
5 // cv::glob("/home/situ/图片/img3", filenames, false); 5 // cv::glob("/home/situ/图片/img3", filenames, false);
6 // for(auto path:filenames){ 6 // for(auto path:filenames){
7 7
8 // // cout<<path<<endl; 8 // // cout<<path<<endl;
9 // Mat img1 =cv::imread(path); 9 // Mat img1 =cv::imread(path);
10 // auto landmarks1 = face_landmarks1.detect_landmarks(path); 10 // auto landmarks1 = face_landmarks1.inference(img1);
11 // for(auto landm:landmarks1){ 11 // for(auto landm:landmarks1){
12 // cv::circle(img1,Point2d(landm[0],landm[1]),2,Scalar(255,0,0)); 12 // cv::circle(img1,Point2d(landm[0],landm[1]),2,Scalar(255,0,0));
13 // } 13 // }
...@@ -19,23 +19,22 @@ int main(){ ...@@ -19,23 +19,22 @@ int main(){
19 Mat image2 = cv::imread("/data/face_recognize/pipeline_test/35326a760af111ec9f2300163e772630/310faceImageContent163047910353714.jpg"); 19 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"; 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_landm_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/det_landmarks_106_v0.0.1.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_rec_model = "/home/situ/qfs/sdk_project/mnn_projects/face_recognize_mnn/model/cls_face_mnn_1.0.0_v0.0.2.mnn";
23 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"; 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";
24 23
25 FaceComparison face_rec = FaceComparison(face_det_model,face_landm_model,face_rec_model); 24 FaceComparison face_rec = FaceComparison(face_det_model,face_landm_model,face_rec_model);
26 bool result = face_rec.face_compare_image(image1,image2); 25 bool result = face_rec.inference(image1,image2);
27 cout<<result<<endl; 26 cout<<result<<endl;
28 27
29 28
30 // string model_path = "/home/situ/qfs/sdk_project/mnn_projects/face_retinaface_mnn/det_face_retina_mnn_1.0.0_v0.1.1.mnn"; 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";
31 // RetinaFace face_det = RetinaFace(model_path.c_str()); 30 // RetinaFace face_det = RetinaFace(model_path.c_str());
32 // Mat image = cv::imread("/home/situ/图片/2.png"); 31 // Mat image = cv::imread("/home/situ/图片/2.png");
33 32
34 // vector<Bbox> result = face_det.detect_image(image); 33 // vector<Bbox> result = face_det.inference("/home/situ/图片/2.png");
35 // for(auto res:result){ 34 // for(auto res:result){
36 // cv::rectangle(image,cv::Rect(res.xmin,res.ymin,res.xmax-res.xmin,res.ymax-res.ymin),Scalar(0,255,0),2); 35 // cv::rectangle(image,cv::Rect(res.xmin,res.ymin,res.xmax-res.xmin,res.ymax-res.ymin),Scalar(0,255,0),2);
37 // } 36 // }
38 // cv::imshow("image",image); 37 // cv::imshow("image",image);
39 // cv::waitKey(0); 38 // cv::waitKey(0);
40 return 0; 39 // return 0;
41 } 40 }
......
retinaface.cpp
...@@ -199,7 +199,7 @@ vector<Bbox> RetinaFace::bbox_process(vector<Bbox> bboxes,float frame_w,float fr ...@@ -199,7 +199,7 @@ vector<Bbox> RetinaFace::bbox_process(vector<Bbox> bboxes,float frame_w,float fr
199 199
200 200
201 // 推理 201 // 推理
202 vector<Bbox> RetinaFace::detect(string image_path){ 202 vector<Bbox> RetinaFace::inference(string image_path){
203 Mat image = cv::imread(image_path); 203 Mat image = cv::imread(image_path);
204 float w_r=float(input_size[0])/float(image.cols); 204 float w_r=float(input_size[0])/float(image.cols);
205 float h_r=float(input_size[1])/float(image.rows); 205 float h_r=float(input_size[1])/float(image.rows);
...@@ -233,7 +233,7 @@ vector<Bbox> RetinaFace::detect(string image_path){ ...@@ -233,7 +233,7 @@ vector<Bbox> RetinaFace::detect(string image_path){
233 return results; 233 return results;
234 } 234 }
235 } 235 }
236 vector<Bbox> RetinaFace::detect_image(Mat image){ 236 vector<Bbox> RetinaFace::inference(Mat image){
237 float w_r=float(input_size[0])/float(image.cols); 237 float w_r=float(input_size[0])/float(image.cols);
238 float h_r=float(input_size[1])/float(image.rows); 238 float h_r=float(input_size[1])/float(image.rows);
239 239
......
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