人脸关键点
更新时间：2023-12-20
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能力介绍
支持人脸 72关键点、150关键点、201 关键点检测，关键点包括人脸、眼睛、眉毛、嘴唇以及鼻子轮廓等，此服务具有如下三个业务功能：
- 人脸五官精准定位：支持眉毛、眼睛、鼻子、嘴、腮位置的精准定位
- 人脸轮廓精准定位：支持单人脸/多人脸的精准定位
- 人脸角度判断：对图片中的人脸进行多种姿态角度判断
在线调试
您可以在 示例代码中心 中调试该接口，可进行签名验证、查看在线调用的请求内容和返回结果、示例代码的自动生成。
调用方式
请求URL数据格式
向API服务地址使用POST发送请求，必须在URL中带上参数access_token，可通过后台的API Key和Secret Key生成，具体方式请参考“Access Token获取”。
示例代码
#!/bin/bash
curl -i -k 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=【百度云应用的AK】&client_secret=【百度云应用的SK】'<?php
function request_post($url = '', $param = '') {
if (empty($url) || empty($param)) {
return false;
}
$postUrl = $url;
$curlPost = $param;
$curl = curl_init();//初始化curl
curl_setopt($curl, CURLOPT_URL,$postUrl);//抓取指定网页
curl_setopt($curl, CURLOPT_HEADER, 0);//设置header
curl_setopt($curl, CURLOPT_RETURNTRANSFER, 1);//要求结果为字符串且输出到屏幕上
curl_setopt($curl, CURLOPT_POST, 1);//post提交方式
curl_setopt($curl, CURLOPT_POSTFIELDS, $curlPost);
$data = curl_exec($curl);//运行curl
curl_close($curl);
return $data;
}
$url = 'https://aip.baidubce.com/oauth/2.0/token';
$post_data['grant_type'] = 'client_credentials';
$post_data['client_id'] = '你的 Api Key';
$post_data['client_secret'] = '你的 Secret Key';
$o = "";
foreach ( $post_data as $k => $v )
{
$o.= "$k=" . urlencode( $v ). "&" ;
}
$post_data = substr($o,0,-1);
$res = request_post($url, $post_data);
var_dump($res);
?>package com.baidu.ai.aip.auth;
import org.json.JSONObject;
import java.io.BufferedReader;
import java.io.InputStreamReader;
import java.net.HttpURLConnection;
import java.net.URL;
import java.util.List;
import java.util.Map;
/**
* 获取token类
*/
public class AuthService {
/**
* 获取权限token
* @return 返回示例：
* {
* "access_token": "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567",
* "expires_in": 2592000
* }
*/
public static String getAuth() {
// 官网获取的 API Key 更新为你注册的
String clientId = "百度云应用的AK";
// 官网获取的 Secret Key 更新为你注册的
String clientSecret = "百度云应用的SK";
return getAuth(clientId, clientSecret);
}
/**
* 获取API访问token
* 该token有一定的有效期，需要自行管理，当失效时需重新获取.
* @param ak - 百度云官网获取的 API Key
* @param sk - 百度云官网获取的 Securet Key
* @return assess_token 示例：
* "24.460da4889caad24cccdb1fea17221975.2592000.1491995545.282335-1234567"
*/
public static String getAuth(String ak, String sk) {
// 获取token地址
String authHost = "https://aip.baidubce.com/oauth/2.0/token?";
String getAccessTokenUrl = authHost
// 1. grant_type为固定参数
+ "grant_type=client_credentials"
// 2. 官网获取的 API Key
+ "&client_id=" + ak
// 3. 官网获取的 Secret Key
+ "&client_secret=" + sk;
try {
URL realUrl = new URL(getAccessTokenUrl);
// 打开和URL之间的连接
HttpURLConnection connection = (HttpURLConnection) realUrl.openConnection();
connection.setRequestMethod("GET");
connection.connect();
// 获取所有响应头字段
Map<String, List<String>> map = connection.getHeaderFields();
// 遍历所有的响应头字段
for (String key : map.keySet()) {
System.err.println(key + "--->" + map.get(key));
}
// 定义 BufferedReader输入流来读取URL的响应
BufferedReader in = new BufferedReader(new InputStreamReader(connection.getInputStream()));
String result = "";
String line;
while ((line = in.readLine()) != null) {
result += line;
}
/**
* 返回结果示例
*/
System.err.println("result:" + result);
JSONObject jsonObject = new JSONObject(result);
String access_token = jsonObject.getString("access_token");
return access_token;
} catch (Exception e) {
System.err.printf("获取token失败！");
e.printStackTrace(System.err);
}
return null;
}
} # 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())#include <iostream>
#include <curl/curl.h>
#include <json/json.h>
#include "access_token.h"
// libcurl库下载链接：https://curl.haxx.se/download.html
// jsoncpp库下载链接：https://github.com/open-source-parsers/jsoncpp/
// 获取access_token所需要的url
const std::string access_token_url = "https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials";
// 回调函数获取到的access_token存放变量
// static std::string access_token_result;
/**
* curl发送http请求调用的回调函数，回调函数中对返回的json格式的body进行了解析，解析结果储存在result中
* @param 参数定义见libcurl库文档
* @return 返回值定义见libcurl库文档
*/
static size_t callback(void *ptr, size_t size, size_t nmemb, void *stream) {
// 获取到的body存放在ptr中，先将其转换为string格式
std::string s((char *) ptr, size * nmemb);
// 开始获取json中的access token项目
Json::Reader reader;
Json::Value root;
// 使用boost库解析json
reader.parse(s,root);
std::string* access_token_result = static_cast<std::string*>(stream);
*access_token_result = root["access_token"].asString();
return size * nmemb;
}
/**
* 用以获取access_token的函数，使用时需要先在百度云控制台申请相应功能的应用，获得对应的API Key和Secret Key
* @param access_token 获取得到的access token，调用函数时需传入该参数
* @param AK 应用的API key
* @param SK 应用的Secret key
* @return 返回0代表获取access token成功，其他返回值代表获取失败
*/
int get_access_token(std::string &access_token, const std::string &AK, const std::string &SK) {
CURL *curl;
CURLcode result_code;
int error_code = 0;
curl = curl_easy_init();
if (curl) {
std::string url = access_token_url + "&client_id=" + AK + "&client_secret=" + SK;
curl_easy_setopt(curl, CURLOPT_URL, url.data());
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYPEER, 0);
curl_easy_setopt(curl, CURLOPT_SSL_VERIFYHOST, 0);
std::string access_token_result;
curl_easy_setopt(curl, CURLOPT_WRITEDATA, &access_token_result);
curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION, callback);
result_code = curl_easy_perform(curl);
if (result_code != CURLE_OK) {
fprintf(stderr, "curl_easy_perform() failed: %s\n",
curl_easy_strerror(result_code));
return 1;
}
access_token = access_token_result;
curl_easy_cleanup(curl);
error_code = 0;
} else {
fprintf(stderr, "curl_easy_init() failed.");
error_code = 1;
}
return error_code;
}using System;
using System.Collections.Generic;
using System.Net.Http;
namespace com.baidu.ai
{
public static class AccessToken
{
// 调用getAccessToken()获取的 access_token建议根据expires_in 时间 设置缓存
// 返回token示例
public static String TOKEN = "24.adda70c11b9786206253ddb70affdc46.2592000.1493524354.282335-1234567";
// 百度云中开通对应服务应用的 API Key 建议开通应用的时候多选服务
private static String clientId = "百度云应用的AK";
// 百度云中开通对应服务应用的 Secret Key
private static String clientSecret = "百度云应用的SK";
public static String getAccessToken() {
String authHost = "https://aip.baidubce.com/oauth/2.0/token";
HttpClient client = new HttpClient();
List<KeyValuePair<String, String>> paraList = new List<KeyValuePair<string, string>>();
paraList.Add(new KeyValuePair<string, string>("grant_type", "client_credentials"));
paraList.Add(new KeyValuePair<string, string>("client_id", clientId));
paraList.Add(new KeyValuePair<string, string>("client_secret", clientSecret));
HttpResponseMessage response = client.PostAsync(authHost, new FormUrlEncodedContent(paraList)).Result;
String result = response.Content.ReadAsStringAsync().Result;
Console.WriteLine(result);
return result;
}
}
}var https = require('https');
var qs = require('querystring');
const param = qs.stringify({
'grant_type': 'client_credentials',
'client_id': '您的 Api Key',
'client_secret': '您的 Secret Key'
});
https.get(
{
hostname: 'aip.baidubce.com',
path: '/oauth/2.0/token?' + param,
agent: false
},
function (res) {
// 在标准输出中查看运行结果
res.pipe(process.stdout);
}
);注意：
access_token的有效期为30天，切记需要每30天进行定期更换，或者每次请求都拉取新token；
例如此接口，使用HTTPS POST发送：
https://aip.baidubce.com/rest/2.0/face/v1/landmark?access_token=24.f9ba9c5341b67688ab4added8bc91dec.2592000.1485570332.282335-8574074POST中Body的参数，按照下方请求参数说明选择即可。
提示：如果您为百度云老用户，正在使用其他非AI的服务，可以参考百度云AKSK鉴权方式发送请求，虽然请求方式和鉴权方法和本文所介绍的不同，但请求参数和返回结果一致。
请求说明
注意事项 ：
- 请求体格式化：Content-Type为
application/json，通过json格式化请求体。 - Base64编码：请求的图片需经过
Base64编码，图片的base64编码指将图片数据编码成一串字符串，使用该字符串代替图像地址。您可以首先得到图片的二进制，然后用Base64格式编码即可。需要注意的是，图片的base64编码是不包含图片头的，如data:image/jpg;base64, - 图片格式：现支持PNG、JPG、JPEG、BMP，不支持GIF图片
请求示例：
HTTP方法：POST
请求URL：https://aip.baidubce.com/rest/2.0/face/v1/landmark
URL参数：
| 参数 | 值 |
|---|---|
| access_token | 通过API Key和Secret Key获取的access_token,参考“Access Token获取” |
Header：
| 参数 | 值 |
|---|---|
| Content-Type | application/json |
Body中放置请求参数，参数详情如下：
请求参数
| 参数 | 必选 | 类型 | 说明 |
|---|---|---|---|
| image | 是 | string | 图片信息(数据大小应小于10M 分辨率应小于1920*1080) |
| image_type | 是 | string | 图片类型 BASE64:图片的base64值; FACE_TOKEN: 人脸标识 |
| max_face_num | 否 | uint32 | 最多处理人脸的数目. 默认值为1（仅检测图片中面积最大的那个人脸） 最大值10 |
| face_field | 否 | string | 包括age,gender,landmark4,landmark72,landmark150,landmark201信息，用逗号分隔. 默认只返回face_token、人脸框、概率和旋转角度 |
示例代码 :
提示一：使用示例代码前，请记得替换其中的示例Token、图片地址或Base64信息。
提示二：部分语言依赖的类或库，请在代码注释中查看下载地址。
# encoding:utf-8
import requests
import json, base64
'''
人脸检测与关键点检测
'''
request_url = "https://aip.baidubce.com/rest/2.0/face/v1/landmark"
filename = '[输入图片路径]'
file = open(filename, 'rb')
image = file.read()
file.close()
img_base64 = base64.b64encode(image)
access_token = '[调用鉴权接口获取的token]'
request_url = request_url + "?access_token=" + access_token
headers = {'content-type': 'application/json'}
req_data = json.dumps({'image': img_base64.decode(), 'image_type': 'BASE64', 'face_field': 'landmark150'})
response = requests.post(request_url, data=req_data, headers=headers)
if response:
print (response.json())返回说明
返回参数
- 72点关键点返回结果
| 字段 | 必选 | 类型 | 说明 |
|---|---|---|---|
| face_num | 是 | int | 图片中的人脸数量 |
| face_list | 是 | array | 人脸信息列表 字段信息见下 |
| face_token | 是 | string | 人脸标志 |
| location | 是 | array | 人脸在图片中的位置 |
| +left | 是 | double | 人脸区域离左边界的距离 |
| +top | 是 | double | 人脸区域离上边界的距离 |
| +width | 是 | double | 人脸区域的宽度 |
| +height | 是 | double | 人脸区域的高度 |
| +rotation | 是 | int64 | 人脸框相对于竖直方向的顺时针旋转角，[-180,180] |
| face_probability | 是 | double | 人脸置信度，范围0-1 |
| angle | 是 | array | 人脸旋转参数 具体说明参考人脸空间姿态角参考 |
| +yaw | 是 | double | 三维旋转之左右旋转角[-90(左), 90(右)] |
| +pitch | 是 | double | 三维旋转之俯仰角度[-90(上), 90(下)] |
| +roll | 是 | double | 平面内旋转角[-180(逆时针), 180(顺时针)] |
| age | 否 | double | 年龄 face_field包含age时返回 |
| gender | 否 | array | 性别 face_field包含gender时返回 |
| +type | 否 | string | male:男性 female:女性 |
| +probability | 否 | double | 性别置信度，范围0~1 |
| landmark72 | 否 | array | 72个特征点位置 face_field包含landmark72时返回 |
- 150点关键点返回结果
| 字段 | 必选 | 类型 | 说明 |
|---|---|---|---|
| face_num | 是 | int | 图片中的人脸数量 |
| face_list | 是 | array | 人脸信息列表 字段信息见下 |
| face_token | 是 | string | 人脸标志 |
| location | 是 | array | 人脸在图片中的位置 |
| +left | 是 | double | 人脸区域离左边界的距离 |
| +top | 是 | double | 人脸区域离上边界的距离 |
| +width | 是 | double | 人脸区域的宽度 |
| +height | 是 | double | 人脸区域的高度 |
| +rotation | 是 | int64 | 人脸框相对于竖直方向的顺时针旋转角，[-180,180] |
| face_probability | 是 | double | 人脸置信度，范围0-1 |
| angle | 是 | array | 人脸旋转参数 具体说明参考人脸空间姿态角参考 |
| +yaw | 是 | double | 三维旋转之左右旋转角[-90(左), 90(右)] |
| +pitch | 是 | double | 三维旋转之俯仰角度[-90(上), 90(下)] |
| +roll | 是 | double | 平面内旋转角[-180(逆时针), 180(顺时针)] |
| landmark150 | 否 | array | 150个特征点位置 face_field包含landmark150时返回 |
- 201点关键点返回结果
| 字段 | 必选 | 类型 | 说明 |
|---|---|---|---|
| face_num | 是 | int | 图片中的人脸数量 |
| face_list | 是 | array | 人脸信息列表 字段信息见下 |
| face_token | 是 | string | 人脸标志 |
| location | 是 | array | 人脸在图片中的位置 |
| +left | 是 | double | 人脸区域离左边界的距离 |
| +top | 是 | double | 人脸区域离上边界的距离 |
| +width | 是 | double | 人脸区域的宽度 |
| +height | 是 | double | 人脸区域的高度 |
| +rotation | 是 | int64 | 人脸框相对于竖直方向的顺时针旋转角，[-180,180] |
| face_probability | 是 | double | 人脸置信度，范围0-1 |
| angle | 是 | array | 人脸旋转参数 具体说明参考人脸空间姿态角参考 |
| +yaw | 是 | double | 三维旋转之左右旋转角[-90(左), 90(右)] |
| +pitch | 是 | double | 三维旋转之俯仰角度[-90(上), 90(下)] |
| +roll | 是 | double | 平面内旋转角[-180(逆时针), 180(顺时针)] |
| landmark201 | 否 | array | 201个特征点位置 face_field包含landmark201时返回 |
-
72点关键点返回示例
{ "error_code": 0, "error_msg": "SUCCESS", "log_id": 1928749930, "timestamp": 1587886328, "cached": 0, "result": { "face_num": 1, "face_list": [ { "face_token": "d80fc864a9f11ca97f753b7fd6ef3092", "location": { "left": 148.2, "top": 207.76, "width": 293, "height": 265, "rotation": 0 }, "face_probability": 1, "angle": { "yaw": 19.13, "pitch": 17.13, "roll": -3.5 }, "landmark201": [ { "cheek_right_1": { "x": 152.91139221191, "y": 234.10575866699 }, "cheek_right_3": { "x": 153.21405029297, "y": 275.29922485352 }, "cheek_right_5": { "x": 159.1178894043, "y": 317.43710327148 }, "cheek_right_7": { "x": 171.67828369141, "y": 359.82891845703 }, "cheek_right_9": { "x": 187.34191894531, "y": 402.29333496094 }, "cheek_right_11": { "x": 209.47039794922, "y": 448.70611572266 }, "chin_2": { "x": 244.76583862305, "y": 480.13912963867 }, "cheek_left_11": { "x": 300.36502075195, "y": 472.90335083008 }, "cheek_left_9": { "x": 355.99075317383, "y": 439.84826660156 }, "cheek_left_7": { "x": 402.11898803711, "y": 393.20904541016 }, "cheek_left_5": { "x": 427.60656738281, "y": 340.88400268555 }, "cheek_left_3": { "x": 442.78765869141, "y": 287.72296142578 }, "cheek_left_1": { "x": 453.259765625, "y": 234.46209716797 }, "eye_right_corner_right": { "x": 166.43855285645, "y": 245.62696838379 }, "eye_right_eyelid_upper_2": { "x": 178.73571777344, "y": 233.48094177246 }, "eye_right_eyelid_upper_4": { "x": 194.54188537598, "y": 231.23136901855 }, "eye_right_eyelid_upper_6": { "x": 209.59561157227, "y": 238.01022338867 }, "eye_right_corner_left": { "x": 219.60101318359, "y": 252.86766052246 }, "eye_right_eyelid_lower_6": { "x": 206.45573425293, "y": 256.78121948242 }, "eye_right_eyelid_lower_4": { "x": 191.26301574707, "y": 257.60192871094 }, "eye_right_eyelid_lower_2": { "x": 177.1402130127, "y": 253.22375488281 }, "eye_right_eyeball_center": { "x": 197.69207763672, "y": 242.78115844727 }, "eyebrow_right_corner_right": { "x": 152.5193939209, "y": 218.0311126709 }, "eyebrow_right_upper_2": { "x": 166.62945556641, "y": 206.35087585449 }, "eyebrow_right_upper_3": { "x": 183.5559387207, "y": 209.04162597656 }, "eyebrow_right_upper_4": { "x": 200.37629699707, "y": 216.20118713379 }, "eyebrow_right_corner_left": { "x": 215.19021606445, "y": 231.66654968262 }, "eyebrow_right_lower_3": { "x": 197.2017364502, "y": 226.71070861816 }, "eyebrow_right_lower_2": { "x": 180.5466003418, "y": 221.2080078125 }, "eyebrow_right_lower_1": { "x": 165.50422668457, "y": 217.85374450684 }, "eye_left_corner_right": { "x": 284.4423828125, "y": 253.46418762207 }, "eye_left_eyelid_upper_2": { "x": 299.30715942383, "y": 238.99905395508 }, "eye_left_eyelid_upper_4": { "x": 316.24237060547, "y": 233.8639831543 }, "eye_left_eyelid_upper_6": { "x": 333.67279052734, "y": 238.54011535645 }, "eye_left_corner_left": { "x": 347.63455200195, "y": 252.36630249023 }, "eye_left_eyelid_lower_6": { "x": 333.91830444336, "y": 257.90979003906 }, "eye_left_eyelid_lower_4": { "x": 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150点关键点返回示例
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人脸空间姿态角参考
姿态角分为Pitch、Roll、Yaw，用于表示人脸在空间三维坐标系内的角度，常用于判断识别角度的界限值。 各角度阈值如下：
- Pitch：三维旋转之俯仰角度，范围：[-90（上）, 90（下）]，推荐俯仰角绝对值不大于20度；
- Roll：平面内旋转角，范围：[-180（逆时针）, 180（顺时针）]，推荐旋转角绝对值不大于20度；
- Yaw：三维旋转之左右旋转角，范围：[-90（左）, 90（右）]，推荐旋转角绝对值不大于20度；
各角度范围示意图如下：
示意图
72个关键点示意图
对应landmark72个点的顺序，序号从0-71，且每个关键点有对应的英文命名作为参数名; 关键点名称对应关系如下图
150个关键点示意图
对应landmark150个点的顺序，序号从0-149，且每个关键点有对应的英文命名作为参数名; 关键点名称对应关系如下图
201个关键点示意图
对应landmark201个点的顺序，序号从0-200，且每个关键点有对应的英文命名作为参数名; 关键点名称对应关系如下图
