1、安装opencv-python
pip install opencv-python
2、下载haarcascades
https://github.com/opencv/opencv/tree/master/data/haarcascades
目录下的特征分类器的xml文件。
3、使用opencv做人脸识别的代码
import cv2
# 引入人像识别训练库 haarcascade_frontalface_default.xml
face_patterns = cv2.CascadeClassifier('/Users/hepburn/opencv-master/data/haarcascades/haarcascade_frontalface_default.xml')
# 读取图片
sample_image = cv2.imread('/Users/hepburn/Python/FaceRecognize/test.jpg')
# 获取识别到的人脸
faces = face_patterns.detectMultiScale(sample_image,scaleFactor=1.1,minNeighbors=4,minSize=(40, 40))
# 将识别到的人脸框出来
for (x, y, w, h) in faces:
cv2.rectangle(sample_image, (x, y), (x+w, y+h), (0, 255, 0), 2)
# 生成一张新的图片保存识别结果
cv2.imwrite('/Users/hepburn/Python/FaceRecognize/output_detected.png', sample_image);