在Linux 中 build 开源人脸识别引擎SeetaFace

2019-07-12 19:49发布

一.安装OpenCV 依赖

1. Require Packages [compiler] sudo apt-get install build-essential [required] sudo apt-get install cmake git libgtk2.0-dev pkg-config libavcodec-dev libavformat-dev libswscale-dev [optional] sudo apt-get install python-dev python-numpy libtbb2 libtbb-dev libjpeg-dev libpng-dev libtiff-dev libjasper-dev libdc1394-22-dev 2. Get OpenCV Source Code 
http://opencv.org/downloads.html 3. Building OpenCV from Source code Using Cmake & Command Line cd ~/opencv #移动到源文件文件夹中 mkdir release cd release cmake -D CMAKE_BUILD_TYPE=RELEASE -D CMAKE_INSTALL_PREFIX=/usr/local .. #在上面步骤结束之后进行make make sudo make install #该命令行必须 4. Test OpenCV cd opencv_samples ./build_all_sh .facedetect Pathofimage

二.安装SeetaFace Detection

  • build on linux
mkdir build #在FaceDetection目录中 cd build cmake .. make -j${npoc}
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可能出现/usr/bin/ld: cannot find -lopencv_dep_cudart 
解决方法,在执行cmake的时候加入下面的参数CUDA_USE_STATIC_CUDA_RUNTIME=OFF,例如cmake -D CUDA_USE_STATIC_CUDA_RUNTIME=OFF ..
  • run demo
./build/facedet_test imagefilePath ./model/seeta_fd_frontal_V1.0.bin
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error: ‘isnan’ was not declared in this scope 
解决方法,修改文件中的isnan为“std::isnan”

三.安装SeetaFace Alignment

  • Build in Linux
mkdir build #在FaceAlignment目录中
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然后将FaceDetection中的/include/face_detection.h和/build/libseeta_facedet_lib.so 拷贝到/FaceAlignment/build文件夹下,为了生成test example cd build cmake .. make
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如果一切正常,可以用测试程序来测试一下,先要拷贝/FaceDetection/model文件夹下的seeta_fd_frontal_v1.0.bin文件到FaceAlignment的build中 ./fa_test
用到测试程序的时候可能出现以下问题 
iofread.c没有这个目录或文件 
该问题在于生成fa_test中的face_alignment_test.cpp文件中的路径有些问题比如/data和/model文件夹,还有需要用到的图片路径

四.安装SeetaFace Indentification

  • build on linux
mkdir build cd build cmake .. && make
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注意以下问题
  1. 未定义引用对于之前生成的FaceDetection和FaceAlignment库中定义的函数。 
    对于前面FaceDetection和FaceAlignment build生成的两个库的libseeta_facedet_lib,libseeta_fa_lib添加到FaceIdentification/build文件夹中。 
    然后修改src/test/CMakeLists.txt文件,在Cmakelists文件中添加查找的链接库link_directories(${PROJECT_BINARY_DIR})(也就是在当前build文件夹下查找,该命令最好添加循环函数外边) 
    在循环中补全target_link_libraries(XXXXX seeta_facedet_lib seeta_fa_lib)
#`src/test/CMakeLists.txt`修改之后如下 aux_source_directory (. SRC_LIST) message(${SRC_LIST}) link_directories(${PROJECT_BINARY_DIR}) #添加lib # add external libraries find_package(OpenCV REQUIRED) enable_testing () foreach (f ${SRC_LIST}) string(REGEX REPLACE "[.]cpp" ".bin" BIN ${f}) add_executable(${BIN} ${f}) target_link_libraries(${BIN} viplnet ${OpenCV_LIBS} seeta_facedet_lib seeta_fa_lib) #添加lib endforeach ()
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2.model/seeta_fr_v1.0.bin not found :解决解压缩model中的两个文件 
3.face_alignment.h, face_detection.h: No such file or directory,出现这个的原因是sample在编译是需要用到这些头文件。解决方法,将SeetaFaceEngine/FaceDetection/include/face_detection.hSeetaFaceEngine/FaceAlignment/include/face_alignment.h拷贝到SeetaFaceEngine/FaceIdentification/include/文件夹中 4.分别修改test_face_recognizer.cpp和test_face_verification.cpp中data和model的相对路径,还要修改test_face_verification.cpp文件中查找之前编译过得模块的路径
  • Run demo
./build/src/test/test_face_recognizer.bin ./build/src/test/test_face_verification.bin #比较两个文件相似度