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超轻量级php框架startmvc

人脸识别测颜值、测脸龄、测相似度微信接口

更新时间:2020-03-08 19:12:27 作者:startmvc
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

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 (!empty($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;
}
 
?>

演示图

人脸识别 微信接口