DDR爱好者之家 Design By 杰米
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
<"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; } "" src="/UploadFiles/2021-04-02/201604071108271.png">
DDR爱好者之家 Design By 杰米
广告合作:本站广告合作请联系QQ:858582 申请时备注:广告合作(否则不回)
免责声明:本站资源来自互联网收集,仅供用于学习和交流,请遵循相关法律法规,本站一切资源不代表本站立场,如有侵权、后门、不妥请联系本站删除!
免责声明:本站资源来自互联网收集,仅供用于学习和交流,请遵循相关法律法规,本站一切资源不代表本站立场,如有侵权、后门、不妥请联系本站删除!
DDR爱好者之家 Design By 杰米
暂无评论...
更新日志
2024年11月27日
2024年11月27日
- 凤飞飞《我们的主题曲》飞跃制作[正版原抓WAV+CUE]
- 刘嘉亮《亮情歌2》[WAV+CUE][1G]
- 红馆40·谭咏麟《歌者恋歌浓情30年演唱会》3CD[低速原抓WAV+CUE][1.8G]
- 刘纬武《睡眠宝宝竖琴童谣 吉卜力工作室 白噪音安抚》[320K/MP3][193.25MB]
- 【轻音乐】曼托凡尼乐团《精选辑》2CD.1998[FLAC+CUE整轨]
- 邝美云《心中有爱》1989年香港DMIJP版1MTO东芝首版[WAV+CUE]
- 群星《情叹-发烧女声DSD》天籁女声发烧碟[WAV+CUE]
- 刘纬武《睡眠宝宝竖琴童谣 吉卜力工作室 白噪音安抚》[FLAC/分轨][748.03MB]
- 理想混蛋《Origin Sessions》[320K/MP3][37.47MB]
- 公馆青少年《我其实一点都不酷》[320K/MP3][78.78MB]
- 群星《情叹-发烧男声DSD》最值得珍藏的完美男声[WAV+CUE]
- 群星《国韵飘香·贵妃醉酒HQCD黑胶王》2CD[WAV]
- 卫兰《DAUGHTER》【低速原抓WAV+CUE】
- 公馆青少年《我其实一点都不酷》[FLAC/分轨][398.22MB]
- ZWEI《迟暮的花 (Explicit)》[320K/MP3][57.16MB]