Unity 百度AI 人脸检测 人脸融合_unity 调用百度人脸融合

注意:

1. apikey 和 apisecret 换成你自己的(这个东西怎么获得网上一堆)

2.  新建下面两个脚本,将facedetect.cs 脚本挂载到任意对象上 , base64太长了,你更换成你需要的图片的base64即可

3.这是人脸检测和人脸融合的两个方法 

using System;
using System.Collections.Generic;
using System.Net.Http;
 
namespace com.baidu.ai
{
    public static class AccessToken
 
    {
        // 调用getAccessToken()获取的 access_token建议根据expires_in 时间 设置缓存
        // 返回token示例
        public static String TOKEN = "24.216acc9390da75b7a11e338d13d97144.2592000.1562208663.282335-16428924";
 
        // 百度云中开通对应服务应用的 API Key 建议开通应用的时候多选服务
        private static String clientId = "          ";  // 这里写自己的id
        // 百度云中开通对应服务应用的 Secret Key
        private static String clientSecret = "          "; // 这里写自己的 Secret
        
 
        public static String getAccessToken()
        {
            String authHost = "https://aip.baidubce.com/oauth/2.0/token";
            HttpClient client = new HttpClient();
            List<KeyValuePair<String, String>> paraList = new List<KeyValuePair<string, string>>();
            paraList.Add(new KeyValuePair<string, string>("grant_type", "client_credentials"));
            paraList.Add(new KeyValuePair<string, string>("client_id", clientId));
            paraList.Add(new KeyValuePair<string, string>("client_secret", clientSecret));
 
            HttpResponseMessage response = client.PostAsync(authHost, new FormUrlEncodedContent(paraList)).Result;
            String result = response.Content.ReadAsStringAsync().Result;
            Console.WriteLine(result);
            return result;
        }
    }
}

using System;
using System.IO;
using System.Net;
using System.Text;
using System.Web;
using UnityEngine;
using System.Drawing;
using UnityEngine.UI;
 
namespace com.baidu.ai
{
    public class FaceDetect: MonoBehaviour
    {
        public RawImage raw;
        public Image image;
 
        String UrlPath01;
        String UrlPath02;
        string token;
        string ReceiveBase64Str;
        string Base64Image01;
        string Base64Image02;
        public void Start()
        {
            token = AccessToken.getAccessToken();
            string[] tokens = token.Split(new string[] { "\"access_token\":\"", "\",\"scope" }, StringSplitOptions.RemoveEmptyEntries);
            token = tokens[1];
            UrlPath01 = Application.streamingAssetsPath + @"/2.jpg";
            UrlPath02 = Application.streamingAssetsPath + @"/TemplateImage.png";
            Base64Image01 = ImgToBase64String(UrlPath01);
            Base64Image02 = ImgToBase64String(UrlPath02);
            //Debug.Log(token);
            detect();
            //facemerge();
        }
        //人脸检测与属性分析
        public string detect()
        {
           
            Debug.Log("token  " + token);
            string host = "https://aip.baidubce.com/rest/2.0/face/v3/detect?access_token=" + token;
            Encoding encoding = Encoding.Default;
            HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
            request.Method = "post";
            request.KeepAlive = true;
            //String str = "{\"image\":\"" + Base64Image01 + "\",\"image_type\":\"BASE64\",\"face_field\":\"faceshape,facetype\"}";
            String str = "{\"image\":\"" + Base64Image01 + "\",\"image_type\":\"BASE64\",\"face_field\":\"age,beauty,expression,face_shape,gender,glasses,landmark,landmark150,race,quality,eye_status,emotion,face_type\"}";
            byte[] buffer = encoding.GetBytes(str);
            request.ContentLength = buffer.Length;
            request.GetRequestStream().Write(buffer, 0, buffer.Length);
            HttpWebResponse response = (HttpWebResponse)request.GetResponse();
            StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
            string result = reader.ReadToEnd();
            Debug.Log("人脸检测与属性分析:");
            Debug.Log(result);
            return result;
        }
 
        // 人脸融合
        public string facemerge()
        {
            string host = "https://aip.baidubce.com/rest/2.0/face/v1/merge?access_token=" + token;
            Encoding encoding = Encoding.Default;
            HttpWebRequest request = (HttpWebRequest)WebRequest.Create(host);
            request.Method = "post";
            request.KeepAlive = true;
            String str = "{\"image_template\":{\"image\":\"" + Base64Image02 +"\",\"image_type\":\"BASE64\",\"quality_control\":\"NONE\"},\"image_target\":{\"image\":\""+ Base64Image01 +"\",\"image_type\":\"BASE64\",\"quality_control\":\"NONE\"}}";
            byte[] buffer = encoding.GetBytes(str);
            request.ContentLength = buffer.Length;
            request.GetRequestStream().Write(buffer, 0, buffer.Length);
            HttpWebResponse response = (HttpWebResponse)request.GetResponse();
            StreamReader reader = new StreamReader(response.GetResponseStream(), Encoding.Default);
            string result = reader.ReadToEnd();
            Debug.Log(result);
            string[] ArrayStr = result.Split(new string[] { "merge_image\":\"", "\"}}" }, StringSplitOptions.RemoveEmptyEntries);
            ReceiveBase64Str = ArrayStr[1];
            ReceiveBase64Str = ReceiveBase64Str.Replace("\\","");
          
 
            raw.texture = Base64ToTexter2d(ReceiveBase64Str);  // 图片显示 Base64图片
            Debug.Log("人脸融合:");
            return ReceiveBase64Str;
        }
 
        public void Save(string sb,string name)
        {
            //写文件 文件名为save.text
            //这里的FileMode.create是创建这个文件,如果文件名存在则覆盖重新创建
            FileStream fs = new FileStream(Application.dataPath + "/" + name+".txt", FileMode.Create);
            //存储时时二进制,所以这里需要把我们的字符串转成二进制
            byte[] bytes = new UTF8Encoding().GetBytes(sb.ToString());
            fs.Write(bytes, 0, bytes.Length);
            //每次读取文件后都要记得关闭文件
            fs.Close();
        }
 
        /// <summary>
        /// 图片转换成base64编码文本
        /// </summary>
        public string ImgToBase64String(string path)
        {
 
                FileStream fs = new FileStream(path, FileMode.Open, FileAccess.Read);
                byte[] buffer = new byte[fs.Length];
                fs.Read(buffer, 0, (int)fs.Length);
                string base64String = Convert.ToBase64String(buffer);
            //    Debug.Log("获取当前图片base64为---" + base64String);
            return base64String;
        }
 
        /// <summary>
        /// base64编码文本转换成Texture
        /// </summary>
 
        private Texture2D Base64ToTexter2d(string Base64STR)
        {
            Texture2D pic = new Texture2D(200, 200);
            byte[] data = System.Convert.FromBase64String(Base64STR);
            //File.WriteAllBytes(Application.dataPath + "/BuildImage/Base64ToSaveImage.png", data);
            pic.LoadImage(data);
            return pic;
        }
 
        /// <summary>
        /// base64编码文本转换成图片
        /// </summary>
 
        public void Base64ToImg(Image imgComponent,string str)
        {
            string base64 = str;
            byte[] bytes = Convert.FromBase64String(base64);
            Texture2D tex2D = new Texture2D(100, 100);
            tex2D.LoadImage(bytes);
            Sprite s = Sprite.Create(tex2D, new Rect(0, 0, tex2D.width, tex2D.height), new Vector2(0.5f, 0.5f));
            imgComponent.sprite = s;
            Resources.UnloadUnusedAssets();
        }
 
 
 
    }
}

结果如下: