人脸识别测颜值、测脸龄、测相似度微信接口-php教程

这篇文章主要给大家分享的是一段人脸识别测颜值、测脸龄、测相似度微信接口的代码，非常的有意思，有需要的小伙伴可以参考下。

人脸评分微信接口，获取微信图片地址，curl请求face++接口，解析json数据，计算颜值，返回用户。

颜值匹配版，请到腾讯微校上体验，http://weixiao.qq.com

<?php
/**
* 人脸识别测颜值、测脸龄、测相似度微信接口
* @Created by MOS.Ving.
* @Author: MOS.Ving
* @Mail 904679843@qq.com
* @Date: 2016-01-31
*/
define("TOKEN", 'weixin'); //设置token
//FACE++ 参数自行到face++官网注册并创建应用
define("API_KEY", "api_key=填在这里"); //你的face++应用 api_key
define("API_SECRET", "&api_secret=这里也要填");//你的face++应用 api_secret
define("ATTRIBUTE", "&attribute=glass,pose,gender,age,race,smiling");//需要返回的内容的参数
define("DETECT_URL", "http://apicn.faceplusplus.com/v2/detection/detect?");//检测给定图片(Image)中的所有人脸(Face)的位置和相应的面部属性api地址
define("LANDMARK_URL", "http://api.faceplusplus.com/detection/landmark?");//检测给定人脸(Face)相应的面部轮廓，五官等关键点的位置，包括25点和83点两种模式api地址
define("COMPARE_URL", "https://apicn.faceplusplus.com/v2/recognition/compare?");//计算两个Face的相似性以及五官相似度api地址
define("TYPE","&type=83p");//83点模式
define("MESSAGE_URL", "");//放回图文消息被点击需要跳转的地址，不需要跳转可不填
$wechatObj = new wechatCallbackapiTest();
if($_GET['echostr']){
$wechatObj->valid();
}else{
$wechatObj->responseMsg();
}
class wechatCallbackapiTest{
public function valid(){
$echoStr = $_GET["echostr"];
//valid signature , option
if($this->checkSignature()){
echo $echoStr;
exit;
}
}
public function responseMsg(){
//get post data, May be due to the different environments
$postStr = $GLOBALS["HTTP_RAW_POST_DATA"];
//extract post data
if (!emptyempty($postStr)){
/* libxml_disable_entity_loader is to prevent XML eXternal Entity Injection,
the best way is to check the validity of xml by yourself */
libxml_disable_entity_loader(true);
$postObj = simplexml_load_string($postStr, 'SimpleXMLElement', LIBXML_NOCDATA);
$fromUsername = $postObj->FromUserName;
$toUsername = $postObj->ToUserName;
$keyword = trim($postObj->Content);
$imgUrl = $postObj->PicUrl;
$Event = $postObj->Event;
$EventKey = $postObj->EventKey;
$MsgType = $postObj->MsgType;
$time = time();
$itemTpl = "<item>
<Title><![CDATA[%s]]></Title>
<Description><![CDATA[%s]]></Description>
<PicUrl><![CDATA[%s]]></PicUrl>
<Url><![CDATA[%s]]></Url>
</item>";
if($MsgType == "image"){
$item_str = sprintf($itemTpl, "颜值报告单", face($imgUrl), $imgUrl, MESSAGE_URL);
$xmlTpl = "<xml>
<ToUserName><![CDATA[%s]]></ToUserName>
<FromUserName><![CDATA[%s]]></FromUserName>
<CreateTime>%s</CreateTime>
<MsgType><![CDATA[news]]></MsgType>
<ArticleCount>%s</ArticleCount>
<Articles>$item_str</Articles>
</xml>";
$resultStr = sprintf($xmlTpl, $fromUsername, $toUsername, $time, 1);
echo $resultStr;
}
}else {
echo "";
exit;
}
}
private function checkSignature(){
// you must define TOKEN by yourself
if (!defined("TOKEN")){
throw new Exception('TOKEN is not defined!');
}
$signature = $_GET["signature"];
$timestamp = $_GET["timestamp"];
$nonce = $_GET["nonce"];
$token = TOKEN;
$tmpArr = array($token, $timestamp, $nonce);
// use SORT_STRING rule
sort($tmpArr, SORT_STRING);
$tmpStr = implode( $tmpArr );
$tmpStr = sha1( $tmpStr );
if( $tmpStr == $signature ){
return true;
}else{
return false;
}
}
}
// 调用人脸识别的API返回识别结果
function face($imgUrl){
// face++ 链接
$jsonStr =curl_get_contents(DETECT_URL.API_KEY.API_SECRET."&url=".$imgUrl.ATTRIBUTE);
$replyDic = json_decode($jsonStr,true);
$faceArray = $replyDic['face'];
$resultStr = "";
for ($i= 0;$i< count($faceArray); $i++){
$resultStr .= "<----第".($i+1)."张脸---->\n";
$tempFace = $faceArray[$i];
$faceId = $tempFace['face_id'];
$tempAttr = $tempFace['attribute'];
// 年龄：包含年龄分析结果
// value的值为一个非负整数表示估计的年龄, range表示估计年龄的正负区间
$tempAge = $tempAttr['age'];
// 性别：包含性别分析结果
// value的值为Male/Female, confidence表示置信度
$tempGenger = $tempAttr['gender'];
// 种族：包含人种分析结果
// value的值为Asian/White/Black, confidence表示置信度
$tempRace = $tempAttr['race'];
// 微笑：包含微笑程度分析结果
//value的值为0-100的实数，越大表示微笑程度越高
$tempSmiling = $tempAttr['smiling'];
// 返回性别
$sex=$tempGenger['value'];
if($sex === "Male") {
$resultStr .= "性别：男\n";
} else if($sex === "Female") {
$resultStr .= "性别：女\n";
}
//返回年龄
$maxAge = $tempAge['value'] + ($tempAge['range'])/2;
$age=ceil($maxAge);
$resultStr .= "年龄：".$age."岁左右吧~ \n";
//返回种族
if($tempRace['value'] === "Asian") {
$resultStr .= "肤色：很健康哦~\n";
}
else if($tempRace['value'] === "White") {
$resultStr .= "肤色：皮肤好白哟！^ 3^\n";
}
else if($tempRace['value'] === "Black") {
$resultStr .= " 肤色：你有点黑？！！！\n";
}
//返回微笑度
$smiling = intval($tempSmiling['value']);
$smile = round($tempSmiling['value'],3);
$resultStr .= "微笑：".$smile."％\n";
if($count<3){
//计算颜值
$yanzhi=getYanZhi($faceId,$smiling);
$resultStr .= "外貌协会专家评分：".$yanzhi."分\n\n";
$resultStr .= "\xe2\x9c\xa8小编想说：\n";
switch ($yanzhi){
case $yanzhi>94:
$resultStr .="这颜值，爆表了！\n";
break;
case $yanzhi>87:
$resultStr .="你这么好看，咋不上天呢！\n";
break;
case $yanzhi>82:
$resultStr .="百看不厌，继续加油！\n";
break;
case $yanzhi>72:
$resultStr .="还好，还能看！\n";
break;
case $yanzhi>67:
$resultStr .="哎，只是丑的不明显！\n";
break;
case $yanzhi>62:
$resultStr .="如果有钱，可以去整整！\n";
break;
default:
$resultStr .="让我静静，你家没镜子么？\n";
}
}
//图片中两个人时，计算相似度
if(count($faceArray) === 2){
// 获取face_id
$tempFace1 = $faceArray[0];
$tempId1 = $tempFace1['face_id'];
$tempFace2 = $faceArray[1];
$tempId2 = $tempFace2['face_id'];
// face++ 链接
$jsonStr1 = curl_get_contents(COMPARE_URL.API_KEY.API_SECRET."&face_id2=".$tempId2 ."&face_id1=".$tempId1);
$replyDic1 = json_decode($jsonStr1,true);
//取出相似程度
$tempResult = $replyDic1['similarity'];
$tempSimilarity = $replyDic1['component_similarity'];
$tempEye = $tempSimilarity['eye'];
$tempEyebrow = $tempSimilarity['eyebrow'];
$tempMouth = $tempSimilarity['mouth'];
$tempNose = $tempSimilarity['nose'];
$resultStr .= "<----相似分析---->\n";
$resultStr .= "眼睛：".round($tempEye,3)."％\n";
$resultStr .= "眉毛：".round($tempEyebrow,3)."％\n";
$resultStr .= "嘴巴：".round($tempMouth,3)."％\n";
$resultStr .= "鼻子：".round($tempNose,3)."％\n";
$resultStr .= "\n<----匹配结果---->\n两人相似程度：".round($tempResult,3)."％\n";
if($tempResult>70){
$resultStr .="哇塞！绝对的夫妻相了！\n";
}elseif ($tempResult>50){
$resultStr .="哎哟，长得挺像！你们快点在一起吧！\n";
}else{
$resultStr .="0.0 长得不太一样哦。\n";
}
}
//如果没有检测到人脸
if($resultStr === ""){
$resultStr = "对不起,俺没有识别出来，请换张正脸照试试=.=";
}
return $resultStr;
}
//颜值算法
function getYanZhi($faceId,$smiling){
$t1=microtime(1);
$jsonStr = curl_get_contents(LANDMARK_URL.API_KEY.API_SECRET."&face_id=".$faceId.TYPE);
$t2=microtime(1);
if(($t2-$t1)>1.5){
return 75.632;
}
if ($jsonStr!=false) {
$replyDic = json_decode($jsonStr,true);
$result = $replyDic['result'];
$landmarkArry = $result[0];
$landmark =$landmarkArry['landmark'];
$right_eyebrow_left_corner =$landmark['right_eyebrow_left_corner'];
$left_eyebrow_right_corner =$landmark['left_eyebrow_right_corner'];
$left_eye_left_corner =$landmark['left_eye_left_corner'];
$left_eye_right_corner =$landmark['left_eye_right_corner'];
$mouth_left_corner =$landmark['mouth_left_corner'];
$mouth_right_corner =$landmark['mouth_right_corner'];
$nose_left =$landmark['nose_left'];
$nose_right =$landmark['nose_right'];
$nose_contour_lower_middle =$landmark['nose_contour_lower_middle'];
$right_eye_left_corner =$landmark['right_eye_left_corner'];
$right_eye_right_corner =$landmark['right_eye_right_corner'];
$contour_left1 =$landmark['contour_left1'];
$contour_right1 =$landmark['contour_right1'];
$contour_chin =$landmark['contour_chin'];
$contour_left6 =$landmark['contour_left6'];
$contour_right6 =$landmark['contour_right6'];
//计算两眉头间的距离
$c1=distance($left_eyebrow_right_corner['x'],$left_eyebrow_right_corner['y'],$right_eyebrow_left_corner['x'],$right_eyebrow_left_corner['y']);
//眉毛之间的中点坐标;
$c1_x=($right_eyebrow_left_corner['x']-$left_eyebrow_right_corner['x'])/2+$left_eyebrow_right_corner['x'];
$c1_y=($right_eyebrow_left_corner['y']-$left_eyebrow_right_corner['y'])/2+$left_eyebrow_right_corner['y'];
//眉毛中点到鼻子最低处的距离
$c2 = distance($nose_contour_lower_middle['x'],$nose_contour_lower_middle['y'],$c1_x,$c1_y);
//眼角之间的距离
$c3 = distance($left_eye_right_corner['x'],$left_eye_right_corner['y'],$right_eye_left_corner['x'],$right_eye_left_corner['y']);
//鼻子的宽度
$c4 = distance($nose_left['x'],$nose_left['y'],$nose_right['x'],$nose_right['y']);
//脸的宽度
$c5 = distance($contour_left1['x'],$contour_left1['y'],$contour_right1['x'],$contour_right1['y']);
//下巴到鼻子下方的高度
$c6 = distance($contour_chin['x'],$contour_chin['y'],$nose_contour_lower_middle['x'],$nose_contour_lower_middle['y']);
//眼睛的大小
$c7_left = distance($left_eye_left_corner['x'],$left_eye_left_corner['y'],$left_eye_right_corner['x'],$left_eye_right_corner['y']);
$c7_right = distance($right_eye_left_corner['x'],$right_eye_left_corner['y'],$right_eye_right_corner['x'],$right_eye_right_corner['y']);
//嘴巴的大小
$c8 = distance($mouth_left_corner['x'],$mouth_left_corner['y'],$mouth_right_corner['x'],$mouth_right_corner['y']);
//嘴巴处的face大小
$c9 = distance($contour_left6['x'],$contour_left6['y'],$contour_right6['x'],$contour_right6['y']);
/* 开始计算步骤 */
$yourmark = 100;
$mustm = 0;
//眼角距离为脸宽的1/5，
$mustm += abs(($c3/$c5)*100 - 25);
//鼻子宽度为脸宽的1/5
$mustm += abs(($c4/$c5)*100 - 25);
//眼睛的宽度，应为同一水平脸部宽度的!/5
$eyepj = ($c7_left+$c7_right)/2;
$mustm += abs($eyepj/$c5*100 - 25);
//理想嘴巴宽度应为同一脸部宽度的1/2
$mustm += abs(($c8/$c9)*100 - 50);
//下巴到鼻子下方的高度 == 眉毛中点到鼻子最低处的距离
$mustm += abs($c6 - $c2);
return round($yourmark-$mustm+$smiling/10,3);
}else{
return 60;
}
}
//两点之间的距离
function distance($px1,$py1,$px2,$py2){
return sqrt(abs(pow($px2 - $px1,2)) + abs(pow($py2 - $py1,2)));
}
function curl_get_contents($url) {
$ch = curl_init();
curl_setopt( $ch , CURLOPT_URL,$url);
curl_setopt( $ch , CURLOPT_RETURNTRANSFER,1);
curl_setopt( $ch , CURLOPT_TIMEOUT,1);
curl_setopt( $ch , CURLOPT_CONNECTTIMEOUT,1.5);
$result = curl_exec($ch);
return $result;
}
?>

人脸识别测颜值、测脸龄、测相似度微信接口

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