python 调用百度云端人脸搜索1：N 进行人脸搜索的方法（从已有的库中搜索当前人脸id）
不多述，直接上代码
环境是Ubuntu16.04+Python3
# -*- coding: utf-8 -*-
import cv2
import sys
import base64
import json
from aip.face import AipFace
dicName = {'user01':'USR01', 'user02':'USR01','user03':'USR01','user04':'USR01'} #id 和名字对应关系
def FaceRec_Baidu(cam_index):
cap = cv2.VideoCapture(cam_index)
detector = cv2.CascadeClassifier('$HOME/opencv-build/installed_x86/share/opencv4/haarcascades/haarcascade_frontalface_alt2.xml')
APP_ID = '你的appid'
API_KEY = '你的appkey'
SECRET_KEY = '你的secretkey'
client = AipFace(APP_ID, API_KEY, SECRET_KEY)
state = False
while True:
ret,img = cap.read()
if not ret:
break
#print('开始')
grey = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
#print('灰度图')
face = detector.detectMultiScale(grey,1.3,5)
#print(len(face))
for(x, y, w, h) in face:
cv2.rectangle(img, (x,y),(x+w,y+h), (0,255,0),2)
#print('绘图')
face64 = img2Base64(img)
if len(face) == 0:
state = False
cv2.imshow('frame', img)
#continue
#print('变换成face64')
img_Type = 'BASE64'
groupIdList = "tech"
#print('人脸搜索')
if state == False and len(face) != 0:
ret = client.search(face64,img_Type,groupIdList)
if ret['error_msg'] == 'SUCCESS':
userid = ret['result']['user_list'][0]['user_id']
print('识别成功！' + dicName[userid] + ': 您好')
cv2.putText(img, userid,
(x + 30, y + 30), # 坐标
cv2.FONT_HERSHEY_SIMPLEX, # 字体
1, # 字号
(255, 0, 255), # 颜色
2) # 字的线宽
state = True
cv2.imshow('frame', img)
#if js['error_msg'] == 'SUCCESS':
#print(js['result'])
# else:
#cv2.waitKey(100)
if cv2.waitKey(1) & 0xFF == ord('q'):
break
#cap.release()
#cv2.destroyAllWindows()
#def FaceSearch(image_Base64,imageType):
#opencv 抽出来的图片转base64格式
def img2Base64(image):
image = cv2.imencode('.jpg', image)[1]
base_data = str(base64.b64encode(image))[2:-1]
return base_data
if __name__ == '__main__':
#print('参数：%s'%(sys.argv[1]))
cam = int(sys.argv[1])
FaceRec_Baidu(cam)
参考百度ai开放平台上的人脸检索方法去自己的用户下上传人脸图片
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