怎样用opencv做人脸识别
这里直接贴代码,可直接运行
import urllib
import ssl
from urllib import request
import json
import cv2
import threading
# client_id 为官网获取的AK, client_secret 为官网获取的SK
def get_token():
context = ssl._create_unverified_context()
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=oxWSUmCiaxLARzcavNHsh4Sq&client_secret=feMOxxWatn53Gxp2IG8rpv5bR2fIKGry'
request = urllib.request.Request(host)
request.add_header('Content-Type', 'application/json; charset=UTF-8')
response = urllib.request.urlopen(request, context=context)
# 获取请求结果
content = response.read()
# 转换为字符
content = bytes.decode(content)
# 转换为字典
content = eval(content[:-1])
return content['access_token']
# 转换图片
# 读取文件内容,转换为base64编码
# 二进制方式打开图文件
def imgdata(file1path, file2path):
import base64
f = open(r'%s' % file1path, 'rb')
pic1 = base64.b64encode(f.read())
f.close()
f = open(r'%s' % file2path, 'rb')
pic2 = base64.b64encode(f.read())
f.close()
# 将图片信息格式化为可提交信息,这里需要注意str参数设置
params = json.dumps(
[{"image": str(pic1, 'utf-8'), "image_type": "BASE64", "face_type": "LIVE", "quality_control": "LOW"},
{"image": str(pic2, 'utf-8'), "image_type": "BASE64", "face_type": "IDCARD", "quality_control": "LOW"}]
)
return params.encode(encoding='UTF8')
# 进行对比获得结果
def result(file1path, file2path):
token = get_token()
context = ssl._create_unverified_context()
params = imgdata(file1path, file2path)
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/match"
request_url = request_url + "?access_token=" + token
request = urllib.request.Request(url=request_url, data=params)
request.add_header('Content-Type', 'application/json')
response = urllib.request.urlopen(request, context=context)
content = response.read()
content = eval(content)
# # 获得分数
score = content['result']['score']
if score > 80:
return '照片相似度:' + str(score) + ',同一个人'
else:
return '照片相似度:' + str(score) + ',不是同一个人'
if __name__ == '__main__':
# 拍照,捕捉人脸
def getimg():
# 获取摄像头
ret, frame = cap.read()
# 保存图片,地址自定,要和result里传递的地址一样
cv2.imwrite("new.jpg", frame)
# 开启摄像头
cap = cv2.VideoCapture(0)
# 开启捕捉摄像头进程
threading.Thread(target=getimg).start()
#对比两张照片的相似度, exit.jpg是本来就有的照片(与py文件放在同一目录),new.jpg是现拍的照片
res = result('exit.jpg', 'new.jpg')
print(res)