基础知识(十三)dlib python人脸检测 特征点定位

import  cv2
import  dlib
import numpy as np
#根据人脸框bbox，从一张完整图片裁剪出人脸
def getface():
    bgrImg = cv2.imread('1.jpg')
    print bgrImg.shape
    rgbImg = cv2.cvtColor(bgrImg, cv2.COLOR_BGR2RGB)

    detector=dlib.get_frontal_face_detector()
    #img = io.imread('1.jpg')
    faces = detector(rgbImg, 1)
    if len(faces) > 0:
    face=max(faces, key=lambda rect: rect.width() * rect.height())
    [x1,x2,y1,y2]=[face.left(),face.right(),face.top(),face.bottom()]

人脸特征点定位:需要先从网上下载预训练模型

http://sourceforge.net/projects/dclib/files/dlib/v18.10/shape_predictor_68_face_landmarks.dat.bz2

import  dlib
#根据人脸框bbox，从一张完整图片裁剪出人脸,并保存问文件名cropimgname
#如果未检测到人脸,那么返回false,否则返回true
face_detector=dlib.get_frontal_face_detector()
landmark_predictor=dlib.shape_predictor("shape_predictor_68_face_landmarks.dat")

def geteye_rect(imgpath):
	bgrImg = cv2.imread(imgpath)
	if bgrImg is None:
		return False
	rgbImg = cv2.cvtColor(bgrImg, cv2.COLOR_BGR2RGB)
	facesrect = face_detector(rgbImg, 1)
	if len(facesrect) <=0:
		return False

	for k, d in enumerate(facesrect):
		shape = landmark_predictor(rgbImg, d)
		for i in range(68):
			pt=shape.part(i)
			plt.plot(pt.x,pt.y,'ro')
		plt.imshow(rgbImg)
		plt.show()

二、C++版使用

1、在cmake中添加：dlib是dlib解压出来后，里面有个dlib源码文件。

include(dlib/cmake)

2、在可执行文件中，添加链接：

target_link_libraries( lightpredict dlib)

这样一来，就可以使用dlib了。

CDlibFace::CDlibFace() {
    m_facedetector= dlib::get_frontal_face_detector();

    dlib::deserialize("dlib/shape_predictor_68_face_landmarks.dat") >> m_facelandmarkdetector;
}
CDlibFace::~CDlibFace() {

}
cv::Rect CDlibFace::getfacerect(std::string imagefile)
{

    dlib::array2d img;
    dlib::load_image(img,imagefile);
   // dlib::pyramid_down(img);

    clock_t begin = clock();
    std::vector dets = m_facedetector(img);

    double elapsed_secs = double(clock() - begin) / CLOCKS_PER_SEC;
    std::cout<<"face detection time:"<CDlibFace::getfacelandmark(std::string imagefile)
{
    dlib::array2d img;
    dlib::load_image(img,imagefile);
    // dlib::pyramid_down(img);

    clock_t begin = clock();
    std::vector dets = m_facedetector(img);
    std::vector pts;
    for (unsigned long j = 0; j < dets.size()&&j<1; ++j)
    {
        dlib::full_object_detection shape = m_facelandmarkdetector(img, dets[j]);
        for (int i = 0; i