public void ProcessRequest(HttpContext context) { context.Response.ContentType = "text/plain"; //base64 string img = context.Request["img"]; ////base64-byte[]数组 byte[] bys = Convert.FromBase64String(img.Substring(23)); var client = new Baidu.Aip.ImageClassify.ImageClassify("rkIOxVwUQ9HAtwvxC45fSbqB", "GghZpqOKI0CV6zpGBcrfRrQSGHl3Akv3"); var result = client.AnimalDetect(bys); if (result.ToString().Contains("非动物")) { } string h = "<ul>"; foreach (var item in result["result"]) { h += "<li>" + item["name"].ToString() + "</li>"; h += "<li>" + item["score"].ToString() + "</li>"; } h += "</ul>"; context.Response.Write(h); }
public void AdvancedGeneralDemo(string filepath) { // 设置APPID/AK/SK //var APP_ID = "17767489"; var API_KEY = "uq1WqDv14GMpouhgDRKblm6L"; var SECRET_KEY = "xhGGclgNBKWMKVU0Uf8KZLo7N7RTwRwQ"; var client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); client.Timeout = 60000; // 修改超时时间 var image = File.ReadAllBytes(filepath); var client2 = new Baidu.Aip.Ocr.Ocr(API_KEY, SECRET_KEY); client.Timeout = 60000; // 修改超时时间 var result = client2.GeneralBasic(image); //本地图图片 //var image = File.ReadAllBytes(filepath); //// 调用通用物体识别,可能会抛出网络等异常,请使用try/catch捕获 //var result = client.AdvancedGeneral(image); //Console.WriteLine(result); //// 如果有可选参数 //var options = new Dictionary<string, object>{ // {"baike_num", 5} //}; //// 带参数调用通用物体识别 //result = client.AdvancedGeneral(image, options); //Console.WriteLine(result); textBox2.Text = result.ToString(); //result.ToString().ToShow(); }
public ImageClassify(IOptions <ApiConfig> apiConfig, ILogger <ImageClassify> logger) { _logger = logger; _client = new Baidu.Aip.ImageClassify.ImageClassify(apiConfig.Value.API_KEY, apiConfig.Value.SECRET_KEY) { Timeout = 60000 }; }
//public float VideoTexUpdateTime = 0.5f; private void Start() { Client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); Client.Timeout = 60000; // 修改超时时间 RT = new RenderTexture(Screen.width / 2, Screen.height / 2, 24); ARVideo = Camera.main.GetComponent <UnityARVideo>(); // InvokeRepeating("UpdateVideoTex",VideoTexUpdateTime,VideoTexUpdateTime); }
void initClient() { mConfig = new IniFile("./cfg.ini"); var APP_ID = mConfig.IniReadValue("Baidu", "APP_ID").ToString(); var API_KEY = mConfig.IniReadValue("Baidu", "API_KEY").ToString(); ; var SECRET_KEY = mConfig.IniReadValue("Baidu", "SECRET_KEY").ToString(); Console.WriteLine(API_KEY); Console.WriteLine(SECRET_KEY); mClient = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); mClient.Timeout = 60000; // 修改超时时间 }
public static String GetPlantResult(string imgPath) { var client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); var image = File.ReadAllBytes(imgPath); // 调用动物识别 var result = client.PlantDetect(image); Console.WriteLine(result); // 如果有可选参数 var options = new Dictionary <string, object> { { "top_num", 5 } }; // 带参数调用动物识别 result = client.AnimalDetect(image, options); Console.WriteLine(result); return(result.ToString()); }
public static String GetLogoResult(string imgPath) { var client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); var image = File.ReadAllBytes(imgPath); // 调用菜品识别 var result = client.DishDetect(image); Console.WriteLine(result); // 如果有可选参数 //是否只使用自定义logo库的结果,默认false:返回自定义库+默认库的识别结果 var options = new Dictionary <string, object> { { "custom_lib", "true" } }; // 带参数调用菜品识别 result = client.DishDetect(image, options); Console.WriteLine(result); return(result.ToString()); }
public static String GetCarResult(string imgPath) { var client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); var image = File.ReadAllBytes(imgPath); // 调用菜品识别 var result = client.DishDetect(image); Console.WriteLine(result); // 如果有可选参数 var options = new Dictionary <string, object> { { "top_num", 5 } }; // 带参数调用菜品识别 //image:图像数据,base64编码,要求base64编码后大小不超过4M,最短边至少15px,最长边最大4096px,支持jpg/png/bmp格式 //top_num:返回预测得分top结果数,默认为5 result = client.CarDetect(image, options); Console.WriteLine(result); return(result.ToString()); }
public static List <string> ImgSearchImg(string ImgPath) { var APP_ID = "20408952"; var API_KEY = "oGP41zYCvdWBzFkyz1xBfUXT"; var SECRET_KEY = "CwM4KCyzngkTCQAd2aIy08LYtPgPaDL8"; var client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); client.Timeout = 6000; // 修改超时时间 var image = File.ReadAllBytes(ImgPath); // 调用通用物体识别,可能会抛出网络等异常,请使用try/catch捕获 var result = client.AdvancedGeneral(image)["result"]; List <string> ImgKeywordList = new List <string>(); foreach (var i in result) { ImgKeywordList.Add(i["keyword"].ToString()); } return(ImgKeywordList); }
/// <summary> /// 通过打开一个文件来进行图像识别 /// </summary> public void EasyPicRecognition() { OpenFileDialog ofd = new OpenFileDialog(); ofd.ShowDialog(); string _path = ofd.FileName; var picclient = new Baidu.Aip.ImageClassify.ImageClassify("NpBGfUR6qBGtFo5bIFbiPCO9", "S0L7LXAewfW7BBKmbXd0EQ8iRzEYRGqc") { Timeout = 60000 // 修改超时时间 }; var image = File.ReadAllBytes(_path); var picoptions = new Dictionary <string, object> { }; var results = picclient.AdvancedGeneral(image, picoptions); if (results != null && results.ToString() != null && results.ToString().Length > 0) { var json = JsonConvert.SerializeObject(results); ImageRecognitionModel model = DeserializeJsonToObject <ImageRecognitionModel>(json) ?? new ImageRecognitionModel(); ImageRecognitionBind(model); } }
/// <summary> /// 图像识别 /// </summary> /// <param name="Path">图像地址</param> /// <returns></returns> public static List <string> ImageRecognition(string Path) { List <string> types = null; // 设置APPID/AK/SK var API_KEY = "bCKBIvGV7CGRCTEmRErE3h8l"; var SECRET_KEY = "fsdd0brGLR04g47TykqIgZsRB4a7Kba1"; var client = new Baidu.Aip.ImageClassify.ImageClassify(API_KEY, SECRET_KEY); client.Timeout = 60000; // 修改超时时间 // 调用通用物体识别,可能会抛出网络等异常,请使用try/catch捕获 try { var image = File.ReadAllBytes(Path); var result = client.AdvancedGeneral(image); // 如果有可选参数 var options = new Dictionary <string, object> { { "baike_num", 5 } }; result = client.AdvancedGeneral(image, options); //解析json数据 RootObject rb = JsonConvert.DeserializeObject <RootObject>(((object)result).ToString()); List <Result> list = rb.result; types = new List <string>(); foreach (Result itme in list) { types.Add(itme.keyword); } return(types); } catch (Exception ex) { return(types); } }
public void init() { client = new ImageClassify.ImageClassify("你的Api Key", "你的Secret Key"); }
/// <summary> /// 人脸检测 /// </summary> /// <param name="sender"></param> /// <param name="e"></param> private void skinButton1_Click(object sender, EventArgs e) { if (picbPreview.Image is null) { MessageBox.Show("请先拍照或者选取一张图片,再进行检测操作"); return; } // var APP_ID = "17894506"; Thread threadadd = new Thread(() => { try { var client = new Baidu.Aip.Face.Face(API_KEY, SECRET_KEY) { Timeout = 60000 // 修改超时时间 }; var image = ImgToBase64String((Bitmap)this.picbPreview.Image); var imageType = "BASE64"; // 调用人脸检测,可能会抛出网络等异常,请使用try/catch捕获 var result = client.Detect(image, imageType); // 如果有可选参数 var options = new Dictionary <string, object> { { "face_field", "age,beauty,expression,face_shape,gender,glasses," + ",race,quality,eye_status,emotion,face_type,eye_status" }, { "max_face_num", Max_face_num }, { "face_type", "LIVE" }, { "liveness_control", "LOW" } }; // 带参数调用人脸检测 result = client.Detect(image, imageType, options); if (result != null && result.ToString() != null && result.ToString().Length > 0) { var json = JsonConvert.SerializeObject(result); FaceCheckModel model = DeserializeJsonToObject <GetApiJson <FaceCheckModel> >(json)?.Result ?? new FaceCheckModel(); FaceTestBind(model); } ; var picclient = new Baidu.Aip.ImageClassify.ImageClassify("NpBGfUR6qBGtFo5bIFbiPCO9", "S0L7LXAewfW7BBKmbXd0EQ8iRzEYRGqc") { Timeout = 60000 // 修改超时时间 }; Image img = this.picbPreview.Image; MemoryStream ms = new MemoryStream(); byte[] imagedata = null; img.Save(ms, System.Drawing.Imaging.ImageFormat.Jpeg); imagedata = ms.GetBuffer(); var picoptions = new Dictionary <string, object> { { "baike_num", Result_num } }; var results = picclient.AdvancedGeneral(imagedata, picoptions); if (results != null && results.ToString() != null && results.ToString().Length > 0) { var json = JsonConvert.SerializeObject(results); ImageRecognitionModel model = DeserializeJsonToObject <ImageRecognitionModel>(json) ?? new ImageRecognitionModel(); ImageRecognitionBind(model); } } catch (Exception ex) { MessageBox.Show("网络错误!错误信息:" + ex.Message); } }); threadadd.Start(); }