文章目录
- 1 简介
- 2 旷视 face++
- 2.1 注册
- [获得 API Key](https://console.faceplusplus.com.cn/app/apikey/list)
- 2.2 调用API(以人脸检测为例)
- 调用代码
- 将结果转化为json
- 2.3 API返回结果
- keys
- 结果demo
- 2.3 异常
- 连接超时
- 3. 百度
- 3.0 调用参考
- 3.1 [创建应用](https://console.bce.baidu.com/ai/?_=1629876388503&fromai=1#/ai/face/app/list)
- 获得apikey / secrect-key
- 3.2 调用代码
- 代码需补充自己的信息
- 3.3 结果
1 简介
本文，基于旷视与百度API，调用获得人脸检测以及人脸属性信息（年龄性别情绪种族等），
大批量调用时，本人实验发现（约调用·3万次）
旷视API的调用代码简单，耗时短（约100ms一次）
以上结论，因本人水平有限，仅限于本人实验。
2 旷视 face++
2.1 注册
获得 API Key
- 登录旷视人工智能开放平台，注册后，在平台内申请
API Key
2.2 调用API(以人脸检测为例)
调用代码
需要填上以上信息才能用
- key = “填上你的KEY”
secret = “填上你的SECRET”filepath = r"本地图片的路径"
# -*- coding: utf-8 -*-
import urllib.request
import urllib.error
import time
http_url = 'https://api-cn.faceplusplus.com/facepp/v3/detect'
key = "填上你的KEY"
secret = "填上你的SECRET"
filepath= r"本地图片的路径"
boundary = '----------%s' % hex(int(time.time() * 1000))
data = []
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_key')
data.append(key)
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'api_secret')
data.append(secret)
data.append('--%s' % boundary)
fr = open(filepath, 'rb')
data.append('Content-Disposition: form-data; name="%s"; filename=" "' % 'image_file')
data.append('Content-Type: %s\r\n' % 'application/octet-stream')
data.append(fr.read())
fr.close()
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_landmark')
data.append('1')
data.append('--%s' % boundary)
data.append('Content-Disposition: form-data; name="%s"\r\n' % 'return_attributes')
data.append(
"gender,age,smiling,headpose,facequality,blur,eyestatus,emotion,ethnicity,beauty,mouthstatus,eyegaze,skinstatus")
data.append('--%s--\r\n' % boundary)
for i, d in enumerate(data):
if isinstance(d, str):
data[i] = d.encode('utf-8')
http_body = b'\r\n'.join(data)
# build http request
req = urllib.request.Request(url=http_url, data=http_body)
# header
req.add_header('Content-Type', 'multipart/form-data; boundary=%s' % boundary)
try:
# post data to server
resp = urllib.request.urlopen(req, timeout=5)
# get response
qrcont = resp.read()
# if you want to load as json, you should decode first,
# for example: json.loads(qrount.decode('utf-8'))
print(qrcont.decode('utf-8'))
except urllib.error.HTTPError as e:
print(e.read().decode('utf-8'))将结果转化为json
修改处
# results=qrcont.decode('utf-8')
results = json.loads(qrcont)2.3 API返回结果
keys
dict_keys(['request_id', 'time_used', 'faces', 'image_id', 'face_num'])结果demo
{
"image_id": "Dd2xUw9S/7yjr0oDHHSL/Q==",
"request_id": "1470472868,dacf2ff1-ea45-4842-9c07-6e8418cea78b",
"time_used": 752,
"faces": [
{
"landmark": {
"mouth_upper_lip_left_contour2": {
"y": 185,
"x": 146
},
"contour_chin": {
"y": 231,
"x": 137
},
.........省略关键点信息
"right_eye_pupil": {
"y": 146,
"x": 205
},
"mouth_upper_lip_bottom": {
"y": 195,
"x": 159
}
},
"attributes": {
"gender": {
"value": "Female"
},
"age": {
"value": 21
},
"glass": {
"value": "None"
},
"headpose": {
"yaw_angle": -26.625063,
"pitch_angle": 12.921974,
"roll_angle": 22.814377
},
"smile": {
"threshold": 30.1,
"value": 2.566890001296997
}
},
"face_rectangle": {
"width": 140,
"top": 89,
"left": 104,
"height": 141
},
"face_token": "ed319e807e039ae669a4d1af0922a0c8"
}
],
"face_num":1
}2.3 异常
连接超时
CONCURRENCY_LIMIT_EXCEEDED
- 以上错误是，官方对免费的用户请求频率有限制，估计访问频次 2-5次/秒
3. 百度
- https://ai.baidu.com/tech/face/detect
- 调用性能：约20秒1次
3.1 创建应用
获得apikey / secrect-key
其中client_id 为官网获取的AcessKey， client_secret 为官网获取的Secrectkey
# encoding:utf-8
import requests
# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=【官网获取的AK】&client_secret=【官网获取的SK】'
response = requests.get(host)
if response:
print(response.json())3.2 调用代码
首先需要获得 access-token，
- 见代码
def get_access_token(self): - 后续不需要执行，注释
access_token=baidu_faceDetect_api.get_access_token()
代码需补充自己的信息
import requests
import base64
import json
import time
class BaiduFaceDetec():
def __init__(self):
self.api_key='你的'
self.secret_key = '你的'
self.access_token='你的'
self.headers = {'content-type': 'application/json'}
# self.headers = {
# "Content-Type": "application/json; charset=UTF-8"
# }
def get_access_token(self):
# client_id 为官网获取的AK， client_secret 为官网获取的SK
host = f'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id={self.api_key}&client_secret={self.secret_key}'
response = requests.get(host)
if response:
# print(response.json())
self.access_token=response.json()['access_token']
print("finish get access_token")
return self.access_token
"""
{'refresh_token': xxx
'expires_in': 2592000,
'session_key': xxx
'access_token': xxxxx
'scope': 'public brain_all_scope vis-faceverify_faceverify_h5-face-liveness vis-faceverify_FACE_V3 vis-faceverify_idl_face_merge vis-faceverify_FACE_EFFECT vis-faceverify_face_beauty vis-faceverify_face_feature_sdk wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test', 'session_secret': 'eef5ffe19217d25dff3c435ddda8468a'}
"""
def img_to_BASE64(self,path):
with open(path,'rb') as f:
base64_data = base64.b64encode(f.read())
return base64_data
def get_face_attri(self,path,method="BASE64"):
'''
人脸检测与属性分析
'''
request_url = "https://aip.baidubce.com/rest/2.0/face/v3/detect"
t0 = time.time()
img_BASE64 = self.img_to_BASE64(path)
t1 = time.time()
# print("Time cost on one image {} s".format(t1 - t0))
# print("img_BASE64",img_BASE64)
post_data = {
"image": img_BASE64,
"image_type":method ,
# "face_field": "gender,age,beauty,emotion,expression,faceshape,",
"face_field": "quality,gender,age,beauty,gender,emotion,expression,eye_status,landmark,faceshape,",
"face_type": "LIVE"
}
request_url = request_url + "?access_token=" + self.access_token
response = requests.post(url=request_url, data=post_data, headers=self.headers)
print(response.text)
json_result = json.loads(response.text)
print("detect_result:",json_result)
if json_result['error_msg'] != 'pic not has face':
print("图片中包含人物年龄：", json_result['result']['face_list'][0]['age'])
print("图片中包含人物颜值评分：", json_result['result']['face_list'][0]['beauty'])
print("图片中包含人物性别：", json_result['result']['face_list'][0]['gender']['type'])
# print("图像品质：", json_result['result']['face_list'][0]['quality'])
# 人脸旋转角度参数
# yaw 三维旋转之左右旋转角[-90(左), 90(右)]
# pitch 三维旋转之俯仰角度[-90(上), 90(下)]
# roll 平面内旋转角[-180(逆时针), 180(顺时针)]
print("人脸旋转角度参数：", json_result['result']['face_list'][0]['angle'])
print("是否微笑：", json_result['result']['face_list'][0]['expression']) # 笑不笑
# angry:愤怒 disgust:厌恶 fear:恐惧 happy:高兴 sad:伤心 surprise:惊讶 neutral:无表情 pouty: 撅嘴 grimace:鬼脸
print("情绪如何", json_result['result']['face_list'][0]['emotion'])
#左眼状态 [0,1]取值，越接近0闭合的可能性越大
print("是否睁眼", json_result['result']['face_list'][0]['eye_status'])
# Press the green button in the gutter to run the script.
if __name__ == '__main__':
t0=time.time()
img_path=r'你的本地图片地址'
baidu_faceDetect_api=BaiduFaceDetec()
access_token=baidu_faceDetect_api.get_access_token()
# print(access_token)
baidu_faceDetect_api.get_face_attri(img_path)
t1=time.time()
print("Time cost on one image {} s".format(t1-t0))3.3 结果
- 约20秒一次（也可能是我代码有问题）
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