opencv+python+dlib人脸关键点检测、实时检测

安装的是anaconde3、python3.7.3，3.7环境安装dlib太麻烦，

在anaconde3中新建环境python3.6.8，

在3.6环境下安装dlib-19.6.1-cp36-cp36m-win_amd64.whl，下载地址：https://pypi.org/project/dlib/19.6.1/#files

vscode更改配置

其中shape_predictor_68_face_landmarks.dat官方训练数据下载地址:http://dlib.net/files/，里面还有5点模型。

效果图如下：

# _*_ coding:utf-8 _*_

import numpy as np

import cv2

import dlib

detector = dlib.get_frontal_face_detector()

predictor = dlib.shape_predictor("data/shape_predictor_68_face_landmarks.dat")

# cv2读取图像

img = cv2.imread("img/test3.jpg")

# 取灰度

img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)

# 人脸数rects

rects = detector(img_gray, 0)

for i in range(len(rects)):

    landmarks = np.matrix([[p.x, p.y] for p in predictor(img, rects[i]).parts()])

    for idx, point in enumerate(landmarks):

        # 68点的坐标

        pos = (point[0, 0], point[0, 1])

        # 利用cv2.circle给每个特征点画一个圈，共68个

        cv2.circle(img, pos, 2, color=(0, 255, 0))

        # 利用cv2.putText输出1-68

        font = cv2.FONT_HERSHEY_SIMPLEX

        cv2.putText(img, str(idx + 1), None, font, 0.8, (0, 0, 255), 1, cv2.LINE_AA)

cv2.namedWindow("img", 2)

cv2.imshow("img", img)

cv2.waitKey(0)

　摄像头实时检测：

# _*_ coding:utf-8 _*_

import numpy as np

import cv2

import dlib

cap = cv2.VideoCapture(0)

detector = dlib.get_frontal_face_detector()

predictor = dlib.shape_predictor("data/shape_predictor_68_face_landmarks.dat")

while 1:

    ret, img = cap.read()

    # 取灰度

    img_gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)

    # 人脸数rects

    rects = detector(img_gray, 0)

    for i in range(len(rects)):

        landmarks = np.matrix([[p.x, p.y] for p in predictor(img, rects[i]).parts()])

        for idx, point in enumerate(landmarks):

            # 68点的坐标

            pos = (point[0, 0], point[0, 1])

            # 利用cv2.circle给每个特征点画一个圈，共68个

            cv2.circle(img, pos, 2, color=(0, 255, 0))

            # 利用cv2.putText输出1-68

            font = cv2.FONT_HERSHEY_SIMPLEX

            cv2.putText(img, str(idx + 1), None, font, 0.8, (0, 0, 255), 1, cv2.LINE_AA)

    cv2.namedWindow("img", 2)

    cv2.imshow("img", img)

    if cv2.waitKey(1) & 0xFF == ord("q"):

        break