首先下载最新的opencv 和opencv_contrib, 然后按照在Windows下编译扩展OpenCV 3.1.0 + opencv_contrib的方法进行编译,其中核心一点就是先编译opencv,再在OPENCV_EXTRA_MODULES_PATH中加入opencv_contrib的modules的路径。
编译好了后就可以进行人脸关键点检测。
我们这里提供我们编译好的vs2015+opencv4.0.0的库。
另外编译好的lib的名字为:
debug:
opencv_aruco400d.lib
opencv_bgsegm400d.lib
opencv_bioinspired400d.lib
opencv_calib3d400d.lib
opencv_ccalib400d.lib
opencv_core400d.lib
opencv_datasets400d.lib
opencv_dnn_objdetect400d.lib
opencv_dnn400d.lib
opencv_dpm400d.lib
opencv_face400d.lib
opencv_features2d400d.lib
opencv_flann400d.lib
opencv_fuzzy400d.lib
opencv_gapi400d.lib
opencv_hfs400d.lib
opencv_highgui400d.lib
opencv_img_hash400d.lib
opencv_imgcodecs400d.lib
opencv_imgproc400d.lib
opencv_line_descriptor400d.lib
opencv_ml400d.lib
opencv_objdetect400d.lib
opencv_optflow400d.lib
opencv_phase_unwrapping400d.lib
opencv_photo400d.lib
opencv_plot400d.lib
opencv_reg400d.lib
opencv_rgbd400d.lib
opencv_saliency400d.lib
opencv_shape400d.lib
opencv_stereo400d.lib
opencv_stitching400d.lib
opencv_structured_light400d.lib
opencv_superres400d.lib
opencv_surface_matching400d.lib
opencv_text400d.lib
opencv_tracking400d.lib
opencv_video400d.lib
opencv_videoio400d.lib
opencv_videostab400d.lib
opencv_xfeatures2d400d.lib
opencv_ximgproc400d.lib
opencv_xobjdetect400d.lib
opencv_xphoto400d.lib
release:
opencv_aruco400.lib
opencv_bgsegm400.lib
opencv_bioinspired400.lib
opencv_calib3d400.lib
opencv_ccalib400.lib
opencv_core400.lib
opencv_datasets400.lib
opencv_dnn_objdetect400.lib
opencv_dnn400.lib
opencv_dpm400.lib
opencv_face400.lib
opencv_features2d400.lib
opencv_flann400.lib
opencv_fuzzy400.lib
opencv_gapi400.lib
opencv_hfs400.lib
opencv_highgui400.lib
opencv_img_hash400.lib
opencv_imgcodecs400.lib
opencv_imgproc400.lib
opencv_line_descriptor400.lib
opencv_ml400.lib
opencv_objdetect400.lib
opencv_optflow400.lib
opencv_phase_unwrapping400.lib
opencv_photo400.lib
opencv_plot400.lib
opencv_reg400.lib
opencv_rgbd400.lib
opencv_saliency400.lib
opencv_shape400.lib
opencv_stereo400.lib
opencv_stitching400.lib
opencv_structured_light400.lib
opencv_superres400.lib
opencv_surface_matching400.lib
opencv_text400.lib
opencv_tracking400.lib
opencv_video400.lib
opencv_videoio400.lib
opencv_videostab400.lib
opencv_xfeatures2d400.lib
opencv_ximgproc400.lib
opencv_xobjdetect400.lib
opencv_xphoto400.lib
最好我们可以使用《利用OpenCV中的LBF算法进行人脸关键点检测》 提供的代码进行关键点检测。
这里提供我们编译好的工程。