1.到旷视官网上注册申请key和secret

https://www.faceplusplus.com.cn/

2.人脸库图像准备，我的人脸库用图片如下：(图片文件名不能有中文，否则会调用错误)

讯享网

3.根据官方api文档写几个post相关的函数

def detect_face(filepath):#检测图片里人脸信息 http_url ="https://api-cn.faceplusplus.com/facepp/v3/detect" files = {"image_file": open(filepath, "rb")} data = {"api_key":key, "api_secret": secret} response = requests.post(http_url, data=data, files=files) req_dict = response.json() print(req_dict) return req_dict def set_face(outer_id):#创建face_set人脸库 url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/create' params = { 'api_key':key, 'api_secret':secret, 'outer_id':outer_id } response = requests.post(url,data = params) req_dict = response.json() print(req_dict) return req_dict def addface(outer_id,facetokens):#将face加入到faceset url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/addface' params = { 'api_key':key, 'api_secret':secret, #'faceset_token':faceset, 'outer_id':outer_id, 'face_tokens':facetokens } r = requests.post(url,data = params) req_dict = r.json() print(req_dict) return req_dict def face_search(image_file1,outer_id):#查找face库里有无对应人脸，默认返回result是最大脸结果 url = 'https://api-cn.faceplusplus.com/facepp/v3/search' files = {"image_file": open(image_file1, "rb")} params = { 'api_key':key, 'api_secret':secret, #'faceset_token':faceset_token, 'outer_id':outer_id } r = requests.post(url,files = files,data = params) req_dict = r.json() print(req_dict) return req_dict def face_search2(facetoken,outer_id):#根据facetoken来返回结果 url = 'https://api-cn.faceplusplus.com/facepp/v3/search' params = { 'api_key':key, 'api_secret':secret, 'face_token':facetoken, 'outer_id':outer_id } r = requests.post(url,data = params) req_dict = r.json() print(req_dict) return req_dict def getfaceset():#获取faceset信息 url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/getfacesets' params = { 'api_key':key, 'api_secret':secret, } response = requests.post(url,data = params) req_dict = response.json() print(req_dict) return req_dict def deletefaceset(outer_id):#删除faceset url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/delete' params = { 'api_key':key, 'api_secret':secret, 'outer_id':outer_id, 'check_empty':0 } response = requests.post(url,data = params) req_dict = response.json() print(req_dict) return req_dict def face_SetUserID(face_token,user_id):#为检测出的某一个人脸添加标识信息，该信息会在Search接口结果中返回，用来确定用户身份。 url = 'https://api-cn.faceplusplus.com/facepp/v3/face/setuserid' params = { 'api_key':key, 'api_secret':secret, 'face_token':face_token, 'user_id':user_id } r = requests.post(url,data = params) req_dict = r.json() print(req_dict) return req_dict 

4.调用旷视api

1）创建人脸库faceset：创建faceset要用到Faceset的Face detect的api，

   首先，使用FaceSet Create API创建人脸库，然后使用Detect API历遍人脸图片目录，并把对应的facetoken保存在人脸库里并附加1个对应的‘userid’方便后续调用。

讯享网def makedataset(dataset_path='./database',outer_id='人脸库'): img_paths=os.listdir(dataset_path) user_ids=[img_path.split('.')[0] for img_path in img_paths] #解析人名 img_paths=[os.path.join(dataset_path,img_path) for img_path in img_paths]#解析图片地址 #1.创建Faceset,outerid为’人脸库‘ set_face(outer_id)#创建人脸库faceset #2.人脸库中加入人脸token for (user_id,img_path) in zip(user_ids,img_paths): face_json = detect_face(img_path)#检测图片中人脸 face_token= face_json['faces'][0]['face_token']#获取人脸face_token addface(outer_id,face_token)#把face_token追加到人脸库faceset face_SetUserID(face_token,user_id)#给face_token绑定1个user_id

2）人脸检测和识别 ：原face search的api只返回最大脸的识别结果，如果图片中所有的都要识别，则需要把图片里所有的检测出的face_token送入search api

def find_all_faces(img_path,outer_id='人脸库'):#找到图片里所有脸并标出 face_json=detect_face(img_path) faces=face_json['faces'] for face in faces: face['result']=face_search2(face['face_token'],outer_id)['results'][0] return faces def find_biggest_face(img_path,outer_id='人脸库'):#找到图片里脸最大的并标出 face_json=face_search(img_path,outer_id='人脸库') faces=[face_json['faces'][0]] faces[0]['result']=face_json['results'][0] return faces

3）检测结果绘制：由于opencv不支持中文显示，所以这里要使用pillow的库来处理

讯享网def draw_result(img,faces):#绘制结果（PIL库可以显示中文） textSize=20 if (isinstance(img, np.ndarray)): #判断是否OpenCV图片类型 img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) draw = ImageDraw.Draw(img) fontText = ImageFont.truetype("/usr/share/fonts/opentype/noto/NotoSansCJK-Bold.ttc", textSize, encoding="utf-8") for face in faces: loc=face['face_rectangle'] result=face['result'] if loc['width']>35:#只处理宽度大于40的人脸 draw.rectangle((loc['left'], loc['top'], loc['left']+loc['width'], loc['top']+loc['height']), None, (0,255,0),width=4) if result['confidence']>60:#根据置信率贴标 text_show=name_dict[result['user_id']]+' '+str(result['confidence'])+'%' draw.text((loc['left'], loc['top']-textSize-4), text_show, (0,255,0), font=fontText) else: draw.text((loc['left'], loc['top']-textSize-4), '其他人', (0,255,0), font=fontText) return cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR)

检测效果图：

完整代码：

#--------------------利用旷视api进行人脸检测和识别--------------------- import requests from json import JSONDecoder import os import cv2 from PIL import Image,ImageDraw,ImageFont import numpy as np #定义key和sercet，需要到旷视网上申请注册 key = "" secret = "" #定义userid和人名的关系 name_dict={"HuangXiaoming":"黄晓明","DengChao":"邓超","HeJiong":"何炅","TongDawei":"佟大为","WangYuan":"王源","YangYing":"杨颖","YiYangqianxi":"易烊千玺","WangJunkai":"王俊凯"} def detect_face(filepath):#传入图片文件 http_url ="https://api-cn.faceplusplus.com/facepp/v3/detect" files = {"image_file": open(filepath, "rb")} data = {"api_key":key, "api_secret": secret} response = requests.post(http_url, data=data, files=files) req_dict = response.json() print(req_dict) return req_dict def set_face(outer_id):#创建face_set url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/create' params = { 'api_key':key, 'api_secret':secret, 'outer_id':outer_id } response = requests.post(url,data = params) req_dict = response.json() print(req_dict) return req_dict def addface(outer_id,facetokens):#将face加入到faceset url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/addface' params = { 'api_key':key, 'api_secret':secret, #'faceset_token':faceset, 'outer_id':outer_id, 'face_tokens':facetokens } r = requests.post(url,data = params) req_dict = r.json() print(req_dict) return req_dict def face_search(image_file1,outer_id):#查找face库里有无对应人脸，默认返回result是最大脸结果 url = 'https://api-cn.faceplusplus.com/facepp/v3/search' files = {"image_file": open(image_file1, "rb")} params = { 'api_key':key, 'api_secret':secret, #'faceset_token':faceset_token, 'outer_id':outer_id } r = requests.post(url,files = files,data = params) req_dict = r.json() print(req_dict) return req_dict def face_search2(facetoken,outer_id):#根据facetoken来返回结果 url = 'https://api-cn.faceplusplus.com/facepp/v3/search' params = { 'api_key':key, 'api_secret':secret, 'face_token':facetoken, 'outer_id':outer_id } r = requests.post(url,data = params) req_dict = r.json() print(req_dict) return req_dict def getfaceset():#获取faceset信息 url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/getfacesets' params = { 'api_key':key, 'api_secret':secret, } response = requests.post(url,data = params) req_dict = response.json() print(req_dict) return req_dict def deletefaceset(outer_id):#删除faceset url = 'https://api-cn.faceplusplus.com/facepp/v3/faceset/delete' params = { 'api_key':key, 'api_secret':secret, 'outer_id':outer_id, 'check_empty':0 } response = requests.post(url,data = params) req_dict = response.json() print(req_dict) return req_dict def face_SetUserID(face_token,user_id):#为检测出的某一个人脸添加标识信息，该信息会在Search接口结果中返回，用来确定用户身份。 url = 'https://api-cn.faceplusplus.com/facepp/v3/face/setuserid' params = { 'api_key':key, 'api_secret':secret, 'face_token':face_token, 'user_id':user_id } r = requests.post(url,data = params) req_dict = r.json() print(req_dict) return req_dict def makedataset(dataset_path='./database',outer_id='人脸库'): img_paths=os.listdir(dataset_path) user_ids=[img_path.split('.')[0] for img_path in img_paths] #解析人名 img_paths=[os.path.join(dataset_path,img_path) for img_path in img_paths]#解析图片地址 #1.创建Faceset,outerid为’人脸库‘ set_face(outer_id) #2.人脸库中加入人脸token for (user_id,img_path) in zip(user_ids,img_paths): face_json = detect_face(img_path) face_token= face_json['faces'][0]['face_token'] addface(outer_id,face_token) face_SetUserID(face_token,user_id) def draw_result(img,faces):#绘制结果（PIL库可以显示中文） textSize=20 if (isinstance(img, np.ndarray)): #判断是否OpenCV图片类型 img = Image.fromarray(cv2.cvtColor(img, cv2.COLOR_BGR2RGB)) draw = ImageDraw.Draw(img) fontText = ImageFont.truetype("/usr/share/fonts/opentype/noto/NotoSansCJK-Bold.ttc", textSize, encoding="utf-8") for face in faces: loc=face['face_rectangle'] result=face['result'] if loc['width']>35:#只处理宽度大于40的人脸 draw.rectangle((loc['left'], loc['top'], loc['left']+loc['width'], loc['top']+loc['height']), None, (0,255,0),width=4) if result['confidence']>60:#根据置信率贴标 text_show=name_dict[result['user_id']]+' '+str(result['confidence'])+'%' draw.text((loc['left'], loc['top']-textSize-4), text_show, (0,255,0), font=fontText) else: draw.text((loc['left'], loc['top']-textSize-4), '其他人', (0,255,0), font=fontText) return cv2.cvtColor(np.asarray(img), cv2.COLOR_RGB2BGR) def find_all_faces(img_path,outer_id='人脸库'):#找到图片里所有脸并标出 face_json=detect_face(img_path) faces=face_json['faces'] for face in faces: face['result']=face_search2(face['face_token'],outer_id)['results'][0] return faces def find_biggest_face(img_path,outer_id='人脸库'):#找到图片里脸最大的并标出 face_json=face_search(img_path,outer_id='人脸库') faces=[face_json['faces'][0]] faces[0]['result']=face_json['results'][0] return faces if __name__ == "__main__": #makedataset(outer_id='人脸库') #dataset=getfaceset() #deletefaceset('人脸库') img_paths=os.listdir('./face_test') img_paths=[os.path.join('./face_test',img_path) for img_path in img_paths] index=0 for img_path in img_paths: faces=find_all_faces(img_path,outer_id='人脸库') #faces=find_biggest_face(img_path,outer_id='人脸库') img=cv2.imread(img_path) img_result=draw_result(img,faces) cv2.imwrite('./result/'+str(index)+'.jpg',img_result) index=index+1 #cv2.imshow('',img_result) #cv2.waitKey(0)