ImageCheckV5ApiDemo.cs

using Newtonsoft.Json.Linq;
using System;
using System.Collections.Generic;
using System.Net.Http;

namespace Com.Netease.Is.Antispam.Demo
{
    class ImageCheckV5ApiDemo
    {
        public static void imageCheck()
        {
            /** 产品密钥ID，产品标识 */
            String secretId = "your_secret_id";
            /** 产品私有密钥，服务端生成签名信息使用，请严格保管，避免泄露 */
            String secretKey = "your_secret_key";
            /** 业务ID，易盾根据产品业务特点分配 */
            String businessId = "your_business_id";
            /** 易盾反垃圾云服务图片在线检测接口地址 */
            String apiUrl = "http://as.dun.163.com/v5/image/check";
            Dictionary<String, String> parameters = new Dictionary<String, String>();

            long curr = (long)(DateTime.UtcNow - new DateTime(1970, 1, 1, 0, 0, 0, DateTimeKind.Utc)).TotalMilliseconds;
            String time = curr.ToString();

            // 1.设置公共参数
            parameters.Add("secretId", secretId);
            parameters.Add("businessId", businessId);
            parameters.Add("version", "v5");
            parameters.Add("timestamp", time);
            parameters.Add("nonce", new Random().Next().ToString());

            // 2.设置私有参数
            JArray jarray = new JArray();
            JObject image1 = new JObject();
            image1.Add("name", "https://nos.netease.com/yidun/2-0-0-a6133509763d4d6eac881a58f1791976.jpg");
            image1.Add("type", 1);
            image1.Add("data", "https://nos.netease.com/yidun/2-0-0-a6133509763d4d6eac881a58f1791976.jpg");
            jarray.Add(image1);

            JObject image2 = new JObject();
            image2.Add("name", "{\"imageId\": 33451123, \"contentId\": 78978}");
            image2.Add("type", 2);
            image2.Add("data", "iVBORw0KGgoAAAANSUhEUgAAASwAAAEsCAIAAAD2HxkiAAAYNElEQVR4nO2dP3vivNKHnfc6FWmhZVvTAk9JvkPSLikfsvUpSZ18hpAtl7TJdyBlYFvThpa0UK7fwtf6OP4zM/ZIlk1+d5HLOytpRsbjGVmyfBaGoQcAcMf/uTYAgK8OnBAAx8AJAXAMnBAAx8AJAXAMnBAAx8AJAXAMnBAAx8AJAXBNSOLauvpYLBb0qWBZr9c12Pnw8FCDnUoVEhaLRQ2nqyHQpwKREADHwAkBcAycUErYkuS8LXaCGDghAI6BE0o5OztzbYKIttgJYuCEUtqS5rXFThADJwTAMXBCABwDJwTAMXBCKW154NEWO0HMf5T1f/365fu+EVOscn19vd1urarwff/t7U3ZCGvn/f39z58/NSoOh4OmesR0OqXtnM/nV1dXGhW+7//69UvTQj1st9vr62tNC1on9H1/NBpFd98wDM/OzpJ/ozL653VRgxrh+fk5qyW2PLdNNsKcn5+Px2NWC02n06EL7Ha73W6n1KInCILfv38TBT4+PpQqOp2O/nzWgD710Dqhl7juUx4YX81Jb0y6aylhblflQmFHNG1KHBWALBgTAuAYA5EwFbXodDQ+LiXUp6PyjlRORxEGQTWQjqYrIh0FNYNImO4IIiGoGUTCdEVEQlAziITpjiASgppBJExXRCQENYMpCgAcYyAS0jw9Pb2+vtrW0oStu3a73f39vb4RusD3798nk4lShd7O29vb/X5PFFAaKeTm5sa2islkMp1O7erI3YMthq3+9vb258+fqHB0kPwbhuFsNrPbAc/zPO/PXyLVKcIwHI1GdAuLxYKoHneHAFseloK9bw6HQ7YRQyeVYjab0TbozyfSUQAcAycEwDFmnDDODVJ/60kY6iH8PI+S/Ot9nlypzRiJSZXtZNv0Pv/uqWOJUGID3aawLxqyvTB+eZt5MEPPE54GcXeSMxkpYc3GSEyqbCfbZlGzcqHQBrZNq5ydndnWjnQUAMcgHZWCdDT3n0hH9SAdlYJ0lGgN6agGpKMAOAZOCIBjzKSj9DjkNAiCgF5/dzgc2OVBj4+PRo3KwYidLM/Pz/RWTpPJZDAYKLV8ETAmlLJarX78+EEUGA6Hm82GbqQGJzRiJ8vd3R2929pisYATCkE6CoBjMEVhEskkgW1FpuyUTFGwWjBFIQHpqEkkkwS2FZmyUzJFIdGSOsYURRakowA4Bk4IgGMwJjQJxoQpLRgTSsCY0CQYE2a1pI4xJsyCdBQAxyAdNQnS0ZQWpKMSTi0dzT0vZa/OytU92aVM4Ps+/SnF4/FI7ywk/Hqh0g+F7Z8ANVzGZjb/TR7YGALJbWhCI+HnnYtL3ZWWy+VwOCSq39zc/Pe//63BTlooaV9v5Behjm3wayC+LHIvEaElRVeY8LLzZM82hI1Urm7KTjyYIcwwqx0PZgBwDJwQAMfACQFwDJwQAMfACQFwjAEnbMgURby86CyDvJGi6vLnq55ikjBZq3J1U3Zisr7IjCZO1mOKIqUIUxTJwqljTFFkQToKgGPghAA4xvqXeheLxcPDg7IRZZZohJubG/q7sJvNpoYEabFYKD9LLLGTPbH6/dqMcBorVBEJAXAMnBAAx9TxFoUySYtSjtxG5EIJxKO/M8HrBdWUZtG83GDQTvYtiuxBKaHQBr0i20J5d4qoY4rCyAUqHBPam6KQPLs3gnLmwJSdkikK+tl9bVMUboV6kI4C4Bg4IQCOgRMC4Bg4IQCOgRMC4BhMUaQrYooiaQamKFowRXF9fU1v0dcQgiBgy9BTFC8vL/f390T1fr//9vZGq/jnn39YM+ib2v39/cvLC1H98vLy9va2qLqpKYrpdLrdbonq8/n86uqqqFMSttut5HQ553A4KFvQOiH9S5wS+/2eXjAZhuF4PLZtxm63o80YjUa2bfA8LwgC+ku99Me0JRyPx4asULUNxoQAOAZOCIBj4IQAOAZOCIBj4IT/I370l8ITP9OLtwDK/rPU3ICmeq4xqTaV1YWNhH+Jj1NCEGH9zfoWQU9RSFqQvMcgbKRy9VxjjE9RyFtIHRt8+eBkQCQEwDFwQgAcAycEwDHMmFC5sVeLmEwmdIGLiwv6bBwOh9lsRjfCns9+v08XqAe2I8LvARNMJpOvc3XRME7I/hheLdtbyJ+XKIUEg8FgMBgQBTabDfsN3cfHR7lGh/z8+dO2CvZ8fh2+ylsUemE9byewQjm23/aQGBAdNOeNB1dC+rf7Khs96YX0vcbgo/+GTFHoYacovpqwCDyYAcAxcEIAHAMnBMAxcEIAHAMnBMAxmKKQCjFFUZZGTRK4FWKKAlMUmKJohLAI68vWLi4u4oURKXdNlUz5bfLOzZavYQHUYDCIlralbjREoM7C2nl1ddXr9ZI31JQiliAIaC3H41GyEEqJ7/vxcbXfXSJswvUpFFKEJMoeep738PBAq2D58+cPW0ZvJ8tsNkvak/wbHazXa72W9XqdbDOrSO8/w+Ewa3xujwhh7kH9Qv0JXywWNdhJX714MAOAY2p9sz60lo7WQ1icJRq0JDW+L5uOylXQimhh3E7qwIlQiXM7a3VC+vFAUWeKnK1mD4w1pi7N5M3CCKlbVUqRQRW0IlroNeOpo6mzYdtO+rdDJCwBIiEioQ07EQlLgEiISFhNiEhoDERCREIbdiISlgCREJGwmpD+7TBFAYBjkI6WAOko0lEbdjJOOBwO6QLb7fZ4PNJlaPb7Pb11V6fTyd0RKNk31k6W3W7HflIvdYqTfyM7WTPob/pJFPX7fVrLx8cHfT7r+e5fv9/v9XqaFg6HQw1fv3x/f1eejaLrswShDvaTlMlla6nVTxHs8r/RaJS78Mes8N9//6XNmM1mqYVIqZVKyWaLSrI/x3q9JqpLhA8PD6yWGlgsFtlzXgojywBrYDgcKnvaoAczkoq2hRIzwvKPMUo9WanQZlkV9RDqnm04sLgqqY6UfTDToDGhpKJtIWuGR44JJcMqFs1QTaiiHtyO9OpEOEguApGwtBmIhEIQCb3E/ZGojikKAByDdLQESEdLgXQ0e5wL0tHSZiAdFYJ01EvcH4nqiIQlQCQsBSJh9jgXRMLSZiASCkEk9BL3R6I6ImEJEAlLgUiYPc4FkbC0GYiEQhAJvcT9kamvgV22xhLvYlYEu1mVETvZZVZGloOFmUVnyT7++fNHvwi2LaSWAVbbxUxvBrvbmpHdNOlLq9ZISBMmbhhh4h7vmcg8K9hAC6sRZuJYmPd2whehQo5qI3FlFdmmQU5YdC6Krk4bmaepxJVoP+uH3ueXZb8OYfkcNSs0ZUaRohpokBMiEiISVhOaMqNIkW0a5ISIhIiEiISOQSREJKwmNGVGkSLbNMgJEQkRCb9mJMRbFAA4pkGREOko0tFqQlNmFCmyTYOcEOko0tGvmY42yAkRCREJqwlNmVGkyDaME7KrvdhN6ebz+dXVFVFgtVrRWgaDwXK5zMpLRcJfv37RWzMul0vajIuLC/3+X+PxmC6gP58sQRBcX1/TZdieTqdT2lT9794QLi8vaTsl55OGcULhPpkE/X4/7kMq+4qEm82G1lIUJUoJsztDpkouFgvajPF4HC3sLAplyWZT8S3+a+R8DofDokAqEUq0pFRk2+x0OnQL3759o69d9ndvCL1eT7mBKgveoihtBj2oY4V6NNqFmbmRsavzsZYQzYjUyG+KKQoAHIOXekvApnmShFCPPPOsnI4aeYDk/IGHELePhTykoxXMQDqKdNRsOopIWAJEQkTC3FpKEAlLm4FIiEiISGhRyJrhIRIiEmaOlSASljYDkRCR0GwkxBQFAI5hIiG7xdj9/T39Xdinpyd6YUS326W1HI/Hm5sb2gw9r6+vdIHValWDGfP5vN/vEwUuLi7ozPP19fXp6YloYb/fs2awPZ1Op7PZjCgwmUziKFF5GMKi3wJPYmdWWDazYAh11LDl4dvbm4F+toT1ep3dBzHM2xyxSFjPl3qzXxQuu2ehka0ElTsmGhFKVhTTV3g73qL4UlR73BKWGa0ZNDV1UEpoygDlk5Wv9WCGpi0P02wTVnrcYvbZj9xUr+RjDLO3idStp9qTFaVQ34sGOSEiYQQiYVkDEAmNgUgYgUhYyoATiISYogDAMQ2KhEhHI5COljUA6agxkI5GIB0tZcAJpKMNckJEwghEwrIGIBIaA5EwApGwlAGnHwnZZQ3sGqjJZJLdZClJt9ultRyPR3qFVEPY7/cvLy/6duig9/r6GgQBUZ1df9ftdtn92h4fH+kCz8/P9EqRi4uL+HdP3Swioe/7+p81devJVUQLvYQj5ZYMgmC1WhE2GLg+QxJV057ned7DwwOtgvXz0WhEt1AP7MIx/YaInmDZmv7CHQ6H7FI4fUfYL+C2Rchen9H5pNukLy1MUQDgGLzUKxWyj0bk3aGhFRlUYVuR2+clBoUs2VqlHuHgpV6pMMx7CpIUMn0QQysyqMK2otDp8xJTQnlPiTbpU4pIKBUiElbQkj1uo5AFkbAmISJhBS3RQQPjGyIhIiEFImHThCyIhDUJEQkraIkOGhjfGhUJMUUBgGOQjkqFSEcraMket1HI4jgd9X2f/lTd8XjcbDZEgff3d1aLPp8MgoD+SKgeejVZKVK/ZfJv9H1Cou7Hxwe9/x37i0hgf/dut6tUcTgc2E+msvuMsb97v9+nPz/I3pIk55OxMyShm/Y87+3tjW5Bv8xqNBrlLvwpJWzFR2G9vF3Mkn8lwjp3W7OKfhezMAzpG5bneYvFgm7ByK5wtIoGvUVBYONxS2MJv8ZbFKxQaID+yYqyup52OGHu5VVKaNE407CDT1pYs6mpA4NCuQHKQZ1+TKikHU6ISIhIWGTACURCTFEA4Jh2REKko0hHCQOQjtYB0lGko0UGnEA62g4nRCREJCQMQCSsA0RCRMIiAxAJawKREJGQMACRsA4QCREJiww4gUjoftlaPR8JZe1kiRfEZdeOyYWsnTXstiaB7RG7YVk9duo3VpNcn3Sb+EioGXUSIZsQpv6rqCSLsroRwky8TZkUm5o68OrNO4TpqNJO291skBPWnJqXzWZDXZaY6965KKsbIeuBKZO8guTN1c0ipV0uFGoh2tT3okFOiEgYgUgoB5HQMIiEEYiEchAJDYNIGIFIKAeR0DCIhBGIhHJOIxLiLQoAHNOgSIh0NALpqByko4ZBOhqBdFTOaaSjDXJCRMIIREI5iIQi5vM5vTJotVrRW6FJtipklw7d3d1J9lYkuLq6ms/nRIEgCKbTqUaFES4vL29vb4kCQRBcX1/TjYzHY6UZ9LaLpmA30Vsul/SHolnYe5/v+8rvw1p3wm/fvn379o0osNlsfv/+rdTC/hi73U6pZTwep+6Iqdvw8XjUdyTZfpEiml6vp9/f0VRHbMPaeTweU7l0JJen97lVkm2en59HJ7yyolqfjsY3FatJplBYrfGoqdRf491RKqrNzlZgKpm0l/RiigIAx9TqhI165lmt8Wx+GAsNolRUm52tIDf/qpAU5FaXCwmQjpZrHOlo60A6CgBggBMC4BiMCcs1jjFh68CY8BMYE9ajCGPCJBgTAgAYmBUz7BcS6dUwKXJvFZPJhNYiX9zgFaej8/n84+NDbGkO+/3+x48fdAFN+0mIFTPfv3+nF8T4vk8vuOn3++zPenNzo7E/svPi4iI6ppeSaIQSO+k2JdWzVSoYz+iojdTOeUX/myoZ7y1HlK9BWOcXcDVf6mWFyU4VldR3hP0CrhGE55NAvyWnHqSjADgGTgiAYxo0RVH0oKno2bpboVWIOYbw7xgjNfEQ/w3/vv2YWz3VqaKS+i6Eugf6cqHckmrVc6uYtbNBUxRF/Ymgy9cvtErc5dTfMPF+bVKY/GdUoKh6qlNFJfVdUD7QN/Lo30j13CqYogDgpEA6WlFoFaSjSEdtgXRUCNJRpKMAgPqAEwLgGGbZ2uPjYz12OGcymQwGA82YsNvtXl1d0WWE5zOV2CT/rlar7XZL1A3LrPIrgl1H8vz8TC8DTKW+Z5n1XEEQvL6+poTJkr1eLzqfudWF3Xx+fl6v10T1brdLd3YymWQ1Jk36+Ph4eXmh7WTOZ0jCdvJkiJZZaZatDYfDUL0cjF22VvMXcIt6NBwO6RbYZWvs+tXofNq+PvXL6/Rf6kU6CoBj4ISf0E9RGHn0L5ljsAqhXWhDWPCsO7eAsKlq1YWNs4pYYWXghJ/IPaelTnRo4tF/UXVTV57EgCLtQhsaOMdAN84qYoWVgRMC4Bg4IQCOgRN+AmPC2IAi7RgTFgkrAyf8BMaEsQFF2jEmLBJWBk4IgGPghJ9AOhobUKQd6WiRsDLa7xP6vt/pdPR22Ga73Uo+NhqKP99LtxD9NmflP7UbBAFdoNPpsKtVaI7HI73wzfO8zWbDNkIXYJO3Xq9HdyT+uKcmHWWvz16vR9uZq9FsOqpdtvb29ka3kMThbmvsdzMbsmyN5eHhQbnbmvKzskLastuaHixbA6D1fN0362kLq1X3CkZQZceEQhW5ikLZm/W2Cc2NtWih3BLbJlXm675ZT1tYrXpcOLY5+1dPqs3UP89kb9bbxuCjf6szHJiiAAAgHTVa3cvkfkhHPTu5H9LRiiAdlbcjUZGrCOlokSVIRwEA+cAJAXAMxoQmq3uZARjGhJ6dARjGhBXBmFDejkRFriKMCYssaeyY8H9XeS5sdXbZWj27g8Xq7C1bC00sB9PvYqZftpbslL3ldSAJ7SPaBdxNw146GiaWcVdOMokctayRudXPEh+roO0sql62R0DPqT2YCa2lo0bSPKJ65UbCSuloUfVSlgAjnJoTAtA64IQAOAZjQml1jAmBJU4tEmJMiDFh6zg1JwSgdSAdlVZHOgoscWqREOko0tHWcWpOCEDrOLV01CG+7+s3Mlsul/Rugsvlcjwea1QMBoPlckmX0Xfk7u4u+n5tZXzfZ+1kmU6n9P6O8/mc/r7y8/Pz/f290gyaU3NCh2PC8/NzdoUqUT06iDfbLOLx8fH3798SLXIbsiZJOhKSX7FO7udZjU6nE5lBK6KF7Ka4/X4/7mxumzXsEHlq6ajzMSE91hKOCfWDT2FPNXbSrxcYxOrLDfI27XFqTghA6zg1J7SdjubOMWRvnHRJQhg3wipSorczDonZRMAstCJWKGycbdMep+aESEdL9RTpKNJRAACcEADXnJoTYkxYqqcYE2JMaB6MCUv1FGNCjAkBAFgxU6Z66iCVnr2/v7PrmxaLRVF14pac/Pv9+3d6OctqtXp6eiIK7Ha7m5sbpZ13d3e73Y5ood/vR414VZe8HI9HiZ10m7e3t/v9nlD0/v5Oa+l2u1FHihTtdjvturaQhK2OLQ/NbnkoUUQL2S8KS9Bvzaj/Uq/+C7gS2OtzNpvZthPpKACOgRMC4JhTc0LnUxSS9jVTFOHf0QgxnaBHaCdBWGk6IVdoVZEcpZ0Ep+aEuSel2i+aEgqnKCTt51ZP/cZFJSMziqobuSbkdhJUm06wOsegnHhQ2klwak4IQOs4NSdEOiq0xIidBEhH5ZyaEyIdFVpixE4CpKNyTs0JAWgdcEIAHGN92dpkMomPw7yVStn/ZUsS2BsTBkHw+vpK1H1/fxe2nzuKI7Kd5N/VakVvH0Yb6Xlet9ul9xeT20mQyq6zv2Z8Pot+d3pZXMTj4yN92VxeXna73az2+Dh5feYSFyhSxBrJE5Kw1dlla0mS67+I/w0zK8XY8qxQv2ytnuVgyV7nltQvAxwOh0Xa5UL9srV4ZalV1us1bYYeLFsDoPXU6oR0SlOUjxXNASiFtIXVqgvb10xRGLeENcn2FIVtaO0GhZWp1Qlp04s6GUGXryCkLaxWXdh+yD36TwlTJc1awppE2ElgY5KgGsoJElNTKQRIRwFwDJwQAMdgTGiyurB9jAk9o0m+0BKMCT0PY0KMCTEmzAPpKACOQTpqsrqwfaSjntH8QmhJY9NR7bK17XZbW16h4XA4SIqF3Ho6JZvNRtnCfr83YkmYeCHj7O8bUnIh274+eet0Or7vl+pUFnYtYb/fjz+lWC1IKC309E54fX2tN+LroPzI7inBXr6+7+vvWaPRiP6m6mKxoFcC1hBjMCYEwDFwwk/YHhM2hxaNCa0O1ZowJoQTfsL2FEVzaNEUhdWZA0xRAADghJ9BOioUsiAdlQMn/ATSUaGQBemoHDghAI6BEwLgGDjhJzAmFApZMCaUAyf8BMaEQiELxoRyzk7yCgOgRSASAuAYOCEAjoETAuAYOCEAjoETAuAYOCEAjoETAuAYOCEAjoETAuCY/wc8SC3r28PmnQAAAABJRU5ErkJggg==");
            jarray.Add(image2);

            parameters.Add("images", jarray.ToString());
            // parameters.Add("account", "csharp@163.com");
            // parameters.Add("ip", "123.115.77.137");

            // 3.生成签名信息,指定国密SM3加密
            // parameters.Add("signatureMethod", "SM3");
            String signature = Utils.genSignature(secretKey, parameters.GetValueOrDefault("signatureMethod", "MD5"), parameters);
            parameters.Add("signature", signature);

            // 4.发送HTTP请求
            HttpClient client = Utils.makeHttpClient();
            String result = Utils.doPost(client, apiUrl, parameters, 10000);
            if(result != null)
            {
                JObject ret = JObject.Parse(result);
                int code = ret.GetValue("code").ToObject<Int32>();
                String msg = ret.GetValue("msg").ToObject<String>();
                if (code == 200)
                {
                    JArray resultArray = (JArray)ret.SelectToken("result");
                    foreach (var item in resultArray)
                    {
                        JObject tmp = (JObject)item;
                        JObject antispam = tmp.GetValue("antispam").ToObject<JObject>();
                        String name = antispam.GetValue("name").ToObject<String>();
                        int status = antispam.GetValue("status").ToObject<Int32>();
                        String taskId = antispam.GetValue("taskId").ToObject<String>();
                        if(status == 2){
                            int suggestion = antispam.GetValue("suggestion").ToObject<Int32>();
                            JArray labels = (JArray)antispam.SelectToken("labels");
                            Console.WriteLine(String.Format("taskId={0}，status={1}，name={2}，suggestion={3}", taskId, status, name, suggestion));
                            // 产品需根据自身需求，自行解析处理，本示例只是简单判断分类级别
                            foreach (var lable in labels)
                            {
                                JObject lableData = (JObject)lable;
                                int label = lableData.GetValue("label").ToObject<Int32>();
                                int level = lableData.GetValue("level").ToObject<Int32>();
                                double rate = lableData.GetValue("rate").ToObject<Double>();
                                // 返回二级分类信息，根据需要解析
                                JArray subLabels = (JArray)lableData.SelectToken("subLabels");
                                Console.WriteLine(String.Format("label:{0}, level={1}, rate={2}, subLabels={3}", label, level, rate, subLabels));
                            }
                            switch (suggestion) {
                                case 0:
                                    Console.WriteLine("#图片机器检测结果：最高等级为\"正常\"\n");
                                    break;
                                case 1:
                                    Console.WriteLine("#图片机器检测结果：最高等级为\"嫌疑\"\n");
                                    break;
                                case 2:
                                    Console.WriteLine("#图片机器检测结果：最高等级为\"确定\"\n");
                                    break;
                                default:
                                    break;
                            }
                        }else {
                            Console.WriteLine(String.Format("图片检测失败，taskId={0}，status={1}，name={2}", taskId, status, name));
                        }
                        // ocr结果
                        if(null!=tmp.GetValue("ocr")){
                            JObject ocr = tmp.GetValue("ocr").ToObject<JObject>();
                            JArray ocrDetails = (JArray)ocr.SelectToken("details");
                            foreach (var ocrDetail in ocrDetails)
                            {
                                JObject lObject = (JObject)ocrDetail;
                                String content = lObject.GetValue("content").ToObject<String>();
                                JArray lineContents = (JArray)lObject.SelectToken("lineContents");
                                Console.WriteLine(String.Format("识别ocr文本内容:{0}, ocr片段及坐标信息:{1}", content, lineContents));
                            }
                        }
                        // 人脸信息
                        if(null!=tmp.GetValue("face")){
                            JObject face = tmp.GetValue("face").ToObject<JObject>();
                            JArray faceDetails = (JArray)face.SelectToken("details");
                            foreach (var faceDetail in faceDetails)
                            {
                                JObject lObject = (JObject)faceDetail;
                                String faceNumber = lObject.GetValue("faceNumber").ToObject<String>();
                                JArray faceContents = (JArray)lObject.SelectToken("faceContents");
                                Console.WriteLine(String.Format("识别人脸数量:{0}, 人物信息及坐标信息:{1}", faceNumber, faceContents));
                            }
                        }
                        // 图片质量检测结果
                        if(null!=tmp.GetValue("quality")){
                            JObject quality = tmp.GetValue("quality").ToObject<JObject>();
                            JArray qualityDetails = (JArray)quality.SelectToken("details");
                            foreach (var qualityDetail in qualityDetails)
                            {
                                JObject lObject = (JObject)qualityDetail;
                                float aestheticsRate = lObject.GetValue("aestheticsRate").ToObject<float>();
                                float sharpnessRate = lObject.GetValue("sharpnessRate").ToObject<float>();
                                JObject metaInfo = lObject.GetValue("metaInfo").ToObject<JObject>();
                                JObject boarderInfo = lObject.GetValue("boarderInfo").ToObject<JObject>();
                                JObject backgroundInfo = lObject.GetValue("backgroundInfo").ToObject<JObject>();
                                Console.WriteLine(String.Format("图片美观度分数:{0}, 图片清晰度分数:{1}, 图片基本信息:{2}, 图片边框信息:{3}, 图片背景信息:{4}", aestheticsRate, sharpnessRate, metaInfo, boarderInfo, backgroundInfo));
                            }
                        }
                        // 图片logo结果
                        if(null!=tmp.GetValue("logo")){
                            JObject logo = tmp.GetValue("logo").ToObject<JObject>();
                            JArray logoDetails = (JArray)logo.SelectToken("details");
                            foreach (var logoDetail in logoDetails)
                            {
                                JObject lObject = (JObject)logoDetail;
                                String logoName = lObject.GetValue("logoName").ToObject<String>();
                                float x1 = lObject.GetValue("x1").ToObject<float>();
                                float y1 = lObject.GetValue("y1").ToObject<float>();
                                float x2 = lObject.GetValue("x2").ToObject<float>();
                                float y2 = lObject.GetValue("y2").ToObject<float>();
                                Console.WriteLine(String.Format("logo信息:{0}, 左上角点x坐标:{1}, 左上角点y坐标:{2}, 右下角点x坐标:{3}, 右下角点y坐标:{4}", logoName, x1, y1, x2, y2));
                            }
                        }
                        // 图片识别结果
                        if(null!=tmp.GetValue("discern")){
                            JObject discern = tmp.GetValue("discern").ToObject<JObject>();
                            JArray discernDetails = (JArray)discern.SelectToken("details");
                            foreach (var discernDetail in discernDetails)
                            {
                                JObject lObject = (JObject)discernDetail;
                                int type = lObject.GetValue("type").ToObject<int>();
                                String discernName = lObject.GetValue("discernName").ToObject<String>();
                                float rate = lObject.GetValue("rate").ToObject<float>();
                                switch (type) {
                                    case 1:
                                        Console.WriteLine(String.Format("识别物体类型:场景识别, 识别名称:%s, 分数:%s", discern, rate));
                                        break;
                                    case 2:
                                        Console.WriteLine(String.Format("识别物体类型:地标识别, 识别名称:%s, 分数:%s", discern, rate));
                                        break;
                                    case 3:
                                        Console.WriteLine(String.Format("识别物体类型:百度识图, 识别名称:%s, 分数:%s", discern, rate));
                                        break;
                                    default:
                                        break;
                                }
                            }
                        }
                        // 用户画像结果
                        if(null!=tmp.GetValue("userRisk")){
                            JObject userRisk = tmp.GetValue("userRisk").ToObject<JObject>();
                            JArray userRiskDetails = (JArray)userRisk.SelectToken("details");
                            foreach (var userRiskDetail in userRiskDetails)
                            {
                                JObject lObject = (JObject)userRiskDetail;
                                int accountLevel = lObject.GetValue("accountLevel").ToObject<int>();
                                String account = lObject.GetValue("account").ToObject<String>();
                                switch (accountLevel) {
                                    case 0:
                                        Console.WriteLine(String.Format("账号:{0}, 用户账号风险级别:正常", account));
                                        break;
                                    case 5:
                                        Console.WriteLine(String.Format("账号:{0}, 用户账号风险级别:嫌疑", account));
                                        break;
                                    case 10:
                                        Console.WriteLine(String.Format("账号:{0}, 用户账号风险级别:致命", account));
                                        break;
                                    default:
                                        break;
                                }
                            }
                        }
                    }
                }
                else{
                    Console.WriteLine(String.Format("ERROR: code={0}, msg={1}", code, msg));
                }
            }else{
                Console.WriteLine("Request failed!");        
            }
        }
    }
}