用python玩玩人脸识别

人脸识别,乍一听还是高大上的东西.

今天我们就分享下怎么玩?

不需要一大坨代码,只要你会装……包.

当然,我们的重点不是装包,归根结底,还是怎么玩.

Ok,那么,我们开始

一、需要安装什么?

1.OpenCV 一个图像处理的强大的包.官网 http://opencv.org/,最新的版本3.3.0

• 不需要最新的版本直接brew install opencv3,我这里装好是3.2.0的
• 如果需要最新的版本3.3.0的话,请按照这里安装 http://www.pyimagesearch.com/2016/12/19/install-opencv-3-on-macos-with-homebrew-the-easy-way/

2.Python2.7或者Python3.x

3.依赖包NumPY. 可以pip install numpy

4.依赖包face recognition.主角就是他了.pip install face recognition

注意事项参照地址 https://github.com/ageitgey/face_recognition

二、怎么玩

1.我们首先给定一张被照片

2.从摄像头捕捉的图像里获取检测出头像,跟上面的照片的图片进行对比.

先看下结果:

从截下来的图片来看. 我自己因为没有放图片上去进行识别,所以是unknown的. 手机上的图片被识别到了写上chu(名字) 标签.

代码:

import face_recognition  
import cv2  
import time  
#获取摄像头
video_capture = cv2.VideoCapture(0)

# 加载图片
obama_image = face_recognition.load_image_file("IMG_20170723_213850R.jpg")  
# 图片先识别一遍人脸,后面用来比较
obama_face_encoding = face_recognition.face_encodings(obama_image)[0]

# 初始化变量
face_locations = []  
face_encodings = []  
face_names = []  
process_this_frame = True

while True:  
    # 从摄像头获取图像
    ret, frame = video_capture.read()

    # 缩放1/4大小,方便快速处理
    small_frame = cv2.resize(frame, (0, 0), fx=0.25, fy=0.25)

    # 保证只处理一遍
    if process_this_frame:
        #找出所有的人脸
        face_locations = face_recognition.face_locations(small_frame)
        face_encodings = face_recognition.face_encodings(small_frame, face_locations)

        face_names = []
        for face_encoding in face_encodings:
            # 判断是否匹配给定的人脸
            match = face_recognition.compare_faces([obama_face_encoding], face_encoding)
            name = "Unknown"

            if match[0]:
                name = "CHU<del>"

            face_names.append(name)

    process_this_frame = not process_this_frame


    # 把识别到和为识别到的人脸进行标记
    for (top, right, bottom, left), name in zip(face_locations, face_names):
        # 原来是1/4的大小,现在放大4倍
        top *= 4
        right *= 4
        bottom *= 4
        left *= 4

        # 给脸部画框
        cv2.rectangle(frame, (left, top), (right, bottom), (0, 0, 255), 2)

        # 脸部下面显示标签
        cv2.rectangle(frame, (left, bottom - 35), (right, bottom), (0, 0, 255), 2)
        font = cv2.FONT_HERSHEY_DUPLEX
        cv2.putText(frame, name, (left + 6, bottom - 6), font, 1.5, (255, 255, 255), 3)
    #识别到时候进行抓屏    
    for name in face_names:
        if name=="CHU</del>":
             cv2.imwrite('img-%d.png'%int(time.time()), frame)

    # 显示加了头像框视频
    cv2.imshow('Video', frame)

    # Hit 'q' on the keyboard to quit!
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

# 释放摄像头句柄
video_capture.release()  
cv2.destroyAllWindows()

 

来自：http://tech.dianwoda.com/2017/08/11/yong-pythonwan-wan-ren-lian-shi-bie/