人脸检测解析json的工具类face_test

来源:互联网 发布:福州seo的培训 编辑:程序博客网 时间:2024/06/14 23:06

这个类主要是解析json数据

using face;using Newtonsoft.Json;using Newtonsoft.Json.Linq;using System;using System.Collections.Generic;using System.IO;using System.Linq;using System.Text;using System.Threading.Tasks;namespace Camtest{    public class face_test    {        public static string Api_Key = "你的Api_Key";        public static string Secret_Key = "你的Secret_Key";        /// <summary>        /// 脸部比对        /// </summary>        /// <param name="img"></param>        /// <returns></returns>        public static facemodel FaceDetect(String img)        {            var client = new Baidu.Aip.Face.Face(Api_Key, Secret_Key);            var image = File.ReadAllBytes(img);            var options = new Dictionary<string, object>()    {        {"face_fields", "age,beauty,expression,gender,glasses,race"}    };            string result = client.FaceDetect(image, options).ToString();            //解析json数据            return json_test(result.ToString());        }        /// <summary>        /// 解析json数据        /// </summary>        /// <param name="json"></param>        public static facemodel json_test(string json)        {            //得到根节点            JObject jo_result = (JObject)JsonConvert.DeserializeObject(json.ToString());            //得到result节点            JArray jo_age = (JArray)JsonConvert.DeserializeObject(jo_result["result"].ToString());            //查找某个字段与值            facemodel facem = new facemodel();            foreach (var val in jo_age)            {                facem.age = ((JObject)val)["age"].ToString();                facem.beauty = ((JObject)val)["beauty"].ToString();                facem.expression = ((JObject)val)["expression"].ToString();                facem.gender = ((JObject)val)["gender"].ToString();                facem.glasses = ((JObject)val)["glasses"].ToString();                facem.race = ((JObject)val)["race"].ToString();            }            return facem;        }    }}