一。环境准备
首先在anaconda中新建一个环境,在命令行中切换至python3.7环境。
1.安装cmake和boost
pip install cmake -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install boost -i https://pypi.tuna.tsinghua.edu.cn/simple
2.安装opencv
pip install opencv-python==3.4.1.15 -i https://pypi.tuna.tsinghua.edu.cn/simple
pip install opencv-contrib-python==3.4.1.15 -i https://pypi.tuna.tsinghua.edu.cn/simple
3.安装dlib(容易失败)
以下方式都可以尝试一下
1.pip install dlib==19.9.0
2.pip install dlib==19.9.0 -i https://pypi.tuna.tsinghua.edu.cn/simple
3.或者提前去官网下载,切换至目录,然后通过python setup.py install 编译
4.安装face_recognition
pip install face_recognition -i https://pypi.tuna.tsinghua.edu.cn/simple
摄像头实时识别
import cv2 import face_recognition #1、准备人脸库 # #读取图片 me=cv2.imread('test.jpg') him=cv2.imread('lena.jpg') #对图片进行编码 me_face_encoding=face_recognition.face_encodings(me)[0] him_face_encoding=face_recognition.face_encodings(him)[0] #准备人脸库的人脸编码列表 known_face_encodings=[me_face_encoding,him_face_encoding] #准备人脸库中人脸编码对应姓名 known_face_names=['me','him'] #2、捕获视频中的图片 vc=cv2.VideoCapture(0) while True: ret,img=vc.read() if not ret: print('没有捕获到视频') break #3、发现图片中的人脸位置 locations=face_recognition.face_locations(img) #图片中人脸进行编码 face_encodings=face_recognition.face_encodings(img,locations) #遍历locations,face_encodings,识别图片中的人脸 for (top,right,bottom,left), face_encoding in zip(locations,face_encodings): #4、识别视频中图片中人脸的姓名 matchs=face_recognition.compare_faces(known_face_encodings,face_encoding) name='unknown' for match,known_name in zip(matchs,known_face_names): if match: name=known_name break #标记人脸位置 cv2.rectangle(img,(left,top),(right,bottom),(0,0,255),2) #标记人脸姓名 cv2.putText(img,name,(left,top-20),cv2.FONT_HERSHEY_COMPLEX,2,(0,0,255),2) #5、展示 cv2.imshow('Video',img) #6、释放 if cv2.waitKey(1) !=-1: vc.release() cv2.destroyAllWindows() break
代码可以参考
https://blog.csdn.net/guoyunfei123/article/details/97112249
https://www.bilibili.com/video/BV1UJ411V7Q4?from=search&seid=6206820950542698972