python dlib opencv 人脸68点特征检测

不得不感慨，现在现成的东西太多了，直接拿来用就行了

dlib安装（指定版本安装，避免踩坑）

pip install dlib==19.7.0

dlib中训练好的文件http://dlib.net/files/shape_predictor_68_face_landmarks.dat.bz2

下载解压到项目中

代码

import numpy as np
import cv2 as cv
import dlib

detector = dlib.get_frontal_face_detector()
predictor = dlib.shape_predictor('dlib/shape_predictor_68_face_landmarks.dat')


def Detect_face(camera_idx):
    # camera_idx: 电脑自带摄像头或者usb摄像头
    cv.namedWindow('detect')
    cap = cv.VideoCapture(camera_idx)

    while cap.isOpened():
        cv.namedWindow('detect', cv.WINDOW_AUTOSIZE)
        ok, frame = cap.read()
        # frame = cv.flip(frame, 1, dst=None)
        if not ok:
            break
        gray = cv.cvtColor(frame, cv.COLOR_BGR2GRAY)
        rects = detector(gray, 0)
        for i in range(len(rects)):
            landmarks = np.matrix([[p.x, p.y] for p in predictor(frame, rects[i]).parts()])
            for idx, point in enumerate(landmarks):
                pos = (point[0, 0], point[0, 1])
                # print(idx, pos)
                cv.circle(frame, pos, 1, color=(0, 255, 0))
                font = cv.FONT_HERSHEY_SIMPLEX
                cv.putText(frame, str(idx + 1), pos, font, 0.4, (0, 255, 255), 1, cv.LINE_AA)
        cv.imshow('detect', frame)
        c = cv.waitKey(10)
        if c & 0xFF == ord('q'):
            break
    cap.release()
    cv.destroyAllWindows()


if __name__ == '__main__':
    Detect_face(0)

效果图

真好使啊~~~