微信小程序人脸识别

本次实验使用的是百度云的人脸识别api，

可以把代码粘到onload中

 wx.request({
        url: 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=dkAZFQxzU064Bg4vg0iQdg2h&client_secret=kCUoHk50Gx0ExGKZobVp7GvRZev4ki2p',
         success:function(res){
           console.log("输出",res.data.access_token)
     
     

           wx.request({
             url: 'https://aip.baidubce.com/rest/2.0/face/v2/detect?access_token=' + res.data.access_token,
             header: {
               'Content-Type': 'application/x-www-form-urlencoded'
             }, method: "POST",
             data: {
               face_fields:"age,beauty,expression,faceshape,gender,glasses,landmark,race,qualities",
               image: 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F+5VtFnRRxAoyjLNFGVFNikqLNFWjUVWTRlP4LypFZNeOSIyWy3KPc0aVbmc34oqq7Io1TNEokOIFWNmaqNmkIRAiOyK7o1p+CPp2EZSdclexv8HU8afjgqrv4AyK3Rs0ZuJBSr54JaVbF6v8EJVxwQUUaBaSqqLJI3Bk93sQnV2WcWuCH88iIzZndl5NI5Jy2fg0imWVWeNnnv8AB2ZZUubZ4+oyJXZvmOdrl1eSPg8efubZW5/gxf8A4PTJjjRblJbPYmyGrNDR1RlwLCKJuivJIQGlpcGikmY0ERGnlkS24DfsSMRnuTFBJkLbYosl7FXsyN09g+Q0m0aOS2MiVTKytaKgkCUkU4LJsi1YUVF4peCrRVOgNd2Va5I7mRbAh7USlZKRKooUZs03Y2AoVZq0VaSMiiLJyQUfYboqpg6e57ulxd8U4be54SRvizZcf7HSIj7DTYe37k+6fHadUMKi5Xe/hnyEOoZ4U7+73OyPVJY3Fve+H7BH6J0f1DrOmNJz7sa4xzewPisnV8GXtTVPywFf1gCCCtJJM7fjklNgWIfb5M55IwTcmopeWfF9Y9adM6esig/1GWDpwgyD7efYk+7hb7nwvqD1p0rpKqDWoz+Ix3X80fjPX/XXVeq90McvoYPCiql/LR8Wk57ydyfNlR971X+oPV9cpLT/APpIf/Dd3/k+EyTz6iTlkk5Se7bfJeKUfH/2OmMY0Ec0YcV/JeMFe5tOluuSsfkIq8UPYukkqoSaJUkVFaS4JRVyj4IjO2BdhEqpceBG72CIdvgNVyaN1yZ91kaXh/kujJNE9z88AWkQk3wStyqtMmJi1nPmRedp7GU5N8+CqtB0is23wEnQW/AF4xtOzSMlsnwVtrngOV/gDofZWwgjmbS429zoxtTX2Eai9KLu+D6DpmRKSknufOyS8nraLKu1duzRx+SOnNfqmgzRzRTfJ6i2o+I6Pqvuq9nyfZwkpfxweSuzRbmidGSVFmZWNYlmc8ZM1TZWlyhNkEQZUsVZGkMgENjEwZUsg0FUIL0RRBWrK9pdogIpRVl2VaQMUIJZARBBYq0GwholE3REZ0Vdo1IZaMbKs1ZnIgpRRprkvuUYRn9REd1hpMigDaKNleOSG0ioNWZuLGxnJtcGmsaNVyY5GvCKqM/7nsZykne4RWUuA7YbSHdZRSMWX7WyzvwW3ogtFbF42icark0TCEUTQTZKKDbrYyjFm3cUogzlGinab0nyTXsBh2hKi7VEkRn7GbtvY6Ksjsrg1DWLXsc+Tbk6csG+DlmvcqMZKzjzJV+DsexwZINvfg0lcGWo7vg+e1eZTk0uDs6pquy4w8HgdzfPJ6eOXC0c3HZFYtk7VvyQrXB2ZSE9hbHAFCVRZ14KMA68GkSsDRbEFGnYcWRJst4LEQtuRL4Ktlkvcoq2yVFkKO5cordMhvcs7ZKSIKNk7DyS4+wBJDgjgnlERZUjNrcbsW2FXSKtIIntZUVsmgkyZWgp4IihRaKAhN/wTte47PYNKIF5RXgq0iSj5DKy2JuyvJbfwGkpFu7t8clb9yOQy32aqjCWNs1U3Fbcmct/yCGOG/3KwSnQKr+1yLMZTUL7nSPzn1H61n0+Sx6PG3Jy7fqSpxsy2/S38nynUfUum0spQ01Zc2OVTi9qPgur+rc0V+9Qy0vsjs3+D88zdR1ORaucE4zySbcn+4D1PU/qzqfU8uSDrDhjsoQla/yfGPVThjaX9y+5vlspNuUXTtt72WzYH242v7lbb/ufugjgit9/+DtjjSSZnX09joglkV8UaRaNMnuRg/t3RMWpJeANG06Mp3arg07VYRBbYq4pl6rhEbK7KMowov200R+QpIMNXSuuWVW3HIldfaS62vZgWe63OdLf4NLbJIsZ17ExfuFaHIaXgxJ7lUqJlFuqAtyUmgrjyS3YSue9yyf+0zyx7C8VFeQRtytyE0Z9zEakwNe2Mq7uDqaxJfZscqW7Lxh3fBFSpPf2OzSZIx2fk5L3otCCjJMx1Nant9b0+X05Wj9E0c+6EflH5dpsnFH3nS8/coo8fUx6Y93uZZNmKkaJnNY0TNbMIuzRFaaWCqJIiSKJQCxVojtNEQFZtUEXZREqDILckUQUYotQSKqjRVo0aKMgyohouRREZgtQoqqEF+0iiIqQyaKgVZNEkUBm0ZSRu9jOSKjBxKUzdlWFcu5RpM6pIy7K5IjmnGuDOTpHXKKZTsS5NNxwtN+TOGGr3PQ7I2TLHHwVHAyyTa9jfsVl2kEYxVExgXUS3aBF0aRiTGFFwKqJLou0U5CIpCiWQopb2BUEtosqIKNWT27GiokqMlErJM6CkisuadpbHE93ud0nRw5E7NDizZ44n938Hj63Wdifbya9U7YtPyfL6jM5P4O3PLFrDNk+q7fJzypfkmTvgypnon041dONb8me4VnQkorfkqOeRZUHUijVFI07kylWRZpFPwQXUUiZKjPdckyIirQXBAdo1BVlm9hVkUVS2SCWAjsQkyPYsyIbEuKS2ZFJl4pBWW6L3aLWkJtbUQQtkZIu7ZFACVKiZKjPkom2G7JaqhSKCfuWsqyUgi0OTRtMz7SzVICiYasKIdoAti11wVTsNMgtbEWQr2Jap7hMS+CF5ZTclblVZbsBqS4BR/QHU9Tn1Dnc3a3SWx8RluXf/wBRXfG7i7Pr9Dq/1vEe1pVJS/ceF13QQjPH2SuF8P8AtMrr4XIseplt9so3Sf8A9zPJLuhKLXilvVM9DNghhdyV1zX/AAeRKcpOVVLe2imuZRUV9vjl+5FKTdWl4Xsa1/u2KOcItIIwnHydOK+xV7B/etmI7JL2KHHPBVpUqLzVIrGaQVRq3sSti1xbIWwFu+qM3NSssqXJO3ggz4SsR7SzTZV7BGvlVwS0t7MotG34KKJqiIyslbh0iCsrQ8DZlZNKtgq8XZDm1wVjVsSUlw9iCuOUpt2bVwRBL+SeNgjPKk0YQ+TolAxpJlFpyivyZxTvY3aWxntYGsE2dCTlwccp0ttzuxZaiFUar8l1sYudvdGkZxMruPT0c7bR9h0vK4yR+fRk4yTh/J9h03IpU09zzdx35r9BhJM3tHm6aVxR2LajzOjdbk7opCRZuxrTVMsZRdGl2FxoUJtiwmJKlkWAoidixQCGQizKtEwSQW9gwKlJI0KsYazaKGpVogzZU2oyaAdpSqLoSBGbRQ2KSIuKbENE0QBRpmb2NijKmMaIZo6M20DFXsZt2ayozIYzpoq1ZpwUZppnSDD5JkEZJbhoh34LeC6iEiyi2Qo7nTFUiQUirJqqLqJdKioo1sUs0aIQWM5bIqo1uzWRS7JRm68GqRm1fBtCKXIQjE0US1f7S6S8hlg0UkjqZzZGjQ8/PaPP1OdYYty8HdrJrFFyfg/Pep6+eolz9vhHTiaxbimu1v15OuDyVK7KuVPfyFLtWx65McLVauyisvFuXJm00zSJTaZtafJVRpWjSlS9wlZSSRkzd/ctzEETCN8m72qil7Iix7Wk1Iqosmy64KMqaCTZbdlt/wDAGbTRPaQ3ZMZFQoM1bS4MmkyaqpZuiFZL43KCaLV7FdqCdUQXojavkhysoMVdS23Koc8BhEzRVEcE02BL3IocEoCGXsoLAu29hZHIaoqCUid/IUqDabAiqJdNFWQo+5FStqJnzsGyoE7+S8u2lXJSi8UEP2oF5UAmv1COojpIQemls+W+bObPrdRqnHup0/Y4sifa4zbg0/Hn4PN1moyYeyOBuKW/b7AehrJ4nF/UVfg+e1KxwcezhxsS1GWe2RnLLI5rfxsaF7jJFe1MJRpEtLfwGl441T8/yZNpURBuNkOpAXk9jJ0+CZVRDdftIJ2RKMr7mi3cUXT5CVkIqrA0qmq4KS3LtUUbvgIr2tcGsW/JnugiCzdcFe6yO/2KxV/kDVLbYq178k04jkKdjp1yRWy3/JKshxYRC24NlOzN1FFcTTsgtkfdwZzfabPtKSgmWCscikhSMZJY2XpyoJVpLbYvijtu9yrTSLY6h+3dhqNLrklOJk25chGRtGSi3fDPT0Oo+k939p46mo8mifl7Izedalx+p9M1ayUkz6JStH5h0HXwi+3K632Z+j4WnG07jWx5OucennrXTGW5pZzxNbOLbZSLqVGFmiaGq3UhyUCsDZF0ZI0iVV20VDIQZqaLNECmwg1wKHACq0Vo0IAzojtZrQogxpmbR0tFaCOeirNmRKgsZFGaMoZrSlFWamZYM2jJ2by4ZiwMrKtI0KtAZkNMtRDTIjNvYzZo1RmzUGT2I3ZfYO7VcAZ7mkYMsoM1jFgRGJtGKRMYmiiIitLwVZt20UoIzdFXE2aRSWxVjKRR0XFEq1ko2dEI0QomsYMrI9iNjRwaRSMGwKvwvc4s/wDppyltFHp5FDDGUpvtilvZ+a9d63LUKUMH2wXDXk6c865Xph1jqktQ+2DqC8+58pOVP3KNzlzyJcfJ65zjjaP7iK23Kou0dGSKRrW2/BkpIK017EVrCNfgmVPg0iqV+DlyTtvt4CEmIx3+BGPuWdLgCzRXYlTaRnaYgskmTaSF7BFVCbEpewk/chURFWkFtwRL4JSNA2RwX7CvaZBMm7I2LtbbGhmTGitEUBeiNkTWxUCSC6RRogFkSlZVqgL0ihPBFbFFnRWkSuCtEElvyQ9qC+SonYP44BVshEJWbOLoyWxp3bFVmkWSsmMGSggTZVsqwiwHgEXHu6jPljJK+75Mp5JN772qM+5Sdsu6LjKlpvfwYpttqtmy9d34CdWii1R2IkkyvdaIsNpqiq+SVGiG7ZBLSfBCpbUWrt4KpqXJRFJvYskvJH7XsHuBWV+CYq/JZSaXBa9tkBBFJGDlK9zZO0RlDaColRXkzfIaWikkQqDRKUV+SIrKVk8Iq0TQVolYciU6KiCk2RjSd+C0iqVFZaRcbpmlJvYyUUWUl4KrLUQtqjKMnsbZLZjwQbOpLfYiMmtlsiYruRO3gJENpfklX5IpL8k9z88EVRc7/wAG1N88GG037dp0RptXwVUJSTTjtR9z0DrCrs1Drwmz4d1dLaiZNpXF00cuuda5uP3LG4ySp2jVppI+I9P9dx5O3Hqdmtk2feSlFpVv7UePrnHqlZbl0SkX7bObpBMtZKgV7WRF1KjWMrMqJLFbthUUXBKKNPwSivAhuDFmhRBZBMEie0EgQkQ0XIoCEisomqRDQXGDSKOJvRFERzOKMmjqcSjVEqudplKOhmTIMWjBo638lHFPgDkafsRydLi48mVFGVbkTXsbyjwUcQy5Wtina2dDTQfGwHP22S4o3o0cLRNGMEjVRRMIM6FAozUSUjZQodpUUaMXE6milAc7RnNHU4mE4+wVh2kxRdWWUaAKJtGLIXyX54EF+3b3ZyanVYtJCUsm3b4s5OpdXw9OhcmpS/2o/Keq9Vz6+UnJtQ8RO3PNrlenodb69l6g+3H9mFeFyfLZJN1Xgdz872Vb8Ht55kjz2oV/wVd7lo3QVrngCtMN7E88cFaYExo1W63KxhsTGVbMIv30t+DJQT3WyLciiize2xS0H9tFHvwBaV/wWiopblUpeeCjZFTJp8EqXsVogou5PyVTHNFml4CK7sKRG6IKLtt8Eu0V4Jk2zIqi3BCIKCJZKoSQDYgIlOgIQAbsCU6IdhBgL23BDLJAOA2VJYEF7ozLSZQZAJRBXcvFVyE0Huyi1vwSSqRXdlQe5JVFvJBPapAhR7QB6UIxldm88Ue24PjkArLldlU6QAVKSZZJIANJswbduwCC6dIpaYBYLxTC2AAr3lotJgAJtMqu0AiKyk9q4IUW7oAgtFNckO2AVUUTGgAhOaXBVyYBIJ3Yn4oAolcBMAixa0Vcb44AKVTurZEq1wAGYit9xK6VcAEaVT3dcGryJ7AFBu6r9zEpduy3oAIRlKNOGz5Pv+g+o4/Zj1X7uFIA49SO0r9GhbSa4e6Zo1/+ADxWPRzVqJSQBmtrUVoAQTQSAKq6JQBBJKYBUWD24AAdxNgBFkyWAGlaIoAiKtFGABm0jKgCCjRWgAirVlaALEVa9iFGwAMpohrbYAgtSZaMX/ABIjeEEaqIBsWUWRKNAEFKM2ABRpsz7GgAp2NhRYARoop87L5Pk+veoMWiThp/uye4B34kY6r8y1Ouy6lyeR22zh7u57gHrkjzVZkL5ANspX/tKuXNgGWkRVnVSitwAMnJf2kPxYBGU7LgSpr5ANRWLJgAUiy5+CX23sAZUl23twV9wAIjFNPemil09wCiyaYbAKiOSUwCCNgAUQi182AQVRZAAGiqQAE0ABUVZaq5AK0imggAg/kgAiheKsAIhqgAUWSrks/ngABEibT4AAmV0AAP/9k='
             }, success: function (res) {
             console.log(res.data.result[0].landmark)
             var x = res.data.result[0].landmark
             }
           })

     
     
     
     
     
     
     
     
     
     
     
     
     
     
         }
        })