SeetaFace中科院開源人臉項目Ubuntu下編譯

SeetaFace Engine is an open source C++ face recognition engine, which can run on CPU with no third-party dependence. It contains three key parts, i.e., SeetaFace Detection, SeetaFace Alignment and SeetaFace Identification, which are necessary and sufficient for building a real-world face recognition applicaiton system.

1.下載

git clone https://github.com/seetaface/SeetaFaceEngine.git

2.安裝cmake工具

CMake 3.1.0 or higher is required

ubunut14.04自帶的cmake版本太低，可以去官網自行下載安裝

3.編譯FaceDetection

進入FaceDetection路徑下

mkdir linux

進入linux文件夾下面

cmake ..

make

生成可執行文件facedet_test

4.編譯FaceIdentification

進入FaceIdentification路徑下

拷貝FaceDetection include下的face_detection.h 到include下面

mkdir linux

修改CMakeLists.txt

同時將FaceDetection 生成的libseeta_facedet_lib.so 放在新建的linux文件夾下面
進入到linux文件夾
cmake ..
make
生成fa_test

執行效果如下：

5.編譯FaceIdentification
進入FaceIdentification路徑下
（1）修改src/test/CMakeLists.txt
添加前兩個項目生成的so

12   add_executable(${BIN} ${f})
 13   target_link_libraries(${BIN} viplnet ${OpenCV_LIBS})
 14         target_link_libraries(${BIN} viplnet ${OpenCV_LIBS} /root/1xiu/face/SeetaFaceEngine-master/FaceIdentification/linux/libseeta_facedet_lib.so)
 15         target_link_libraries(${BIN} viplnet ${OpenCV_LIBS} /root/1xiu/face/SeetaFaceEngine-master/FaceIdentification/linux/libseeta_fa_lib.so)

（2）拷貝FaceDetection include下的face_detection.h 和FaceIdentification include下面的face_alignment.h到FaceIdentification的include下面

（3）新建文件夾linux
進入到linux
cmake ..
make
生成src/test/test_face_verification.bin
在實際執行測試的時候需要修改*test.cpp，

將比對的文件修改爲命令行輸入

執行結果如下：

 ./src/test/test_face_verification.bin  ../../FaceDetection/pic2.jpg ../../FaceDetection/pic3.jpg 
0.700385