Python用dilb提取照片上人脸的示例

上代码：

#coding=utf-8

import cv2
import dlib

path = "imagePath/9.jpg"
img = cv2.imread(path)
gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)

#人脸分类器
detector = dlib.get_frontal_face_detector()
# 获取人脸检测器
predictor = dlib.shape_predictor(
 "shape_predictor_68_face_landmarks.dat"
)
color = (0, 255, 0) # 定义绘制颜色

dets = detector(gray, 1)
for face in dets:
 shape = predictor(img, face) # 寻找人脸的68个标定点
 chang=[]
 kuan= []
 # 遍历所有点，打印出其坐标，并圈出来
 for pt in shape.parts():
   pt_pos = (pt.x, pt.y)
   chang.append(pt.x)
   kuan.append(pt.y)
   #cv2.circle(img, pt_pos, 1, (0, 255, 0), 1)
 x1 = max(chang)
 x2 = min(chang)
 y1 = max(kuan)
 y2 = min(kuan)
 cv2.rectangle(img, (x2, y2), (x1, y1), color, 1)
 cropped = img[y2 + 1:y1, x2 + 1:x1] # 裁剪坐标为[y0:y1, x0:x1]
 cv2.imshow("image", cropped)
 k = cv2.waitKey(0)
 if k == ord("s"):
   cv2.imwrite("imagePath/9-7.png", cropped)
cv2.destroyAllWindows()

识别效果：

来源：https://www.cnblogs.com/aotumandaren/p/13848280.html