public async Task <string> ImageClassifyDetect(string filePath)
{
return(await Task.Run(() =>
{
try
{
var image = File.ReadAllBytes(filePath);
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);
return result.ToString();
}
catch (Exception e)
{
_logger.LogError(null, e);
throw;
}
}));
}
/// <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 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);
}
}
private IEnumerator getInfoAboutEnumerator(Texture2D tex)
{
yield return(null);
byte[] image = tex.EncodeToJPG();
try
{
var result = Client.AdvancedGeneral(image);
Debug.Log(result);
}
catch (Exception e)
{
Console.WriteLine(e);
throw;
}
finally
{
if (resTex)
{
Destroy(resTex);
}
}
}
/// <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();
}
private void button_openfile_Click(object sender, RoutedEventArgs e)
{
try
{
OpenFileDialog fdlg = new OpenFileDialog();
fdlg.Title = "选择图像识别文件";
//fdlg.InitialDirectory = @"c:\";
fdlg.Filter = "图片文件(*.jpg,*.jpeg,*.png,*.bmp)|*.jpg;*.jpeg;*.png;*.bmp";
fdlg.FilterIndex = 0;
fdlg.RestoreDirectory = false;
if (fdlg.ShowDialog() == true)
{
m_imgPath = fdlg.FileName;
}
var image = File.ReadAllBytes(m_imgPath);
image_recognition.Dispatcher.BeginInvoke(new Action(() => {
// 调用图像主体检测，可能会抛出网络等异常，请使用try/catch捕获
var result = mClient.ObjectDetect(image);
Console.WriteLine(result);
// 如果有可选参数
int with_face = 0;
if (checkBox_face.IsChecked.Equals(true))
{
with_face = 1;
}
var options = new Dictionary <string, object> {
{ "with_face", with_face }
};
// 带参数调用图像主体检测
result = mClient.ObjectDetect(image, options);
var left = (int)result["result"]["left"];
var top = (int)result["result"]["top"];
var width = (int)result["result"]["width"];
var height = (int)result["result"]["height"];
Rectangle rect = new System.Drawing.Rectangle(left, top, width, height);
Image change_img = Image.FromFile(m_imgPath);
Graphics plate = Graphics.FromImage(change_img);
plate.DrawRectangle(new System.Drawing.Pen(Color.BlueViolet, 2), rect);
plate.Save();
plate.Dispose();
MemoryStream ms = new MemoryStream();
change_img.Save(ms, ImageFormat.Bmp);
change_img.Dispose();
BitmapImage bi = new BitmapImage();
bi.BeginInit();
bi.StreamSource = ms;
bi.EndInit();
image_recognition.Source = bi;
image_recognition.InvalidateVisual();
}));
textBox_total.Dispatcher.BeginInvoke(new Action(() =>
{
var options_ag = new Dictionary <string, object> {
{ "baike_num", 5 }
};
// 带参数调用通用物体识别
var result = mClient.AdvancedGeneral(image, options_ag);
var infos = result["result"];
List <string> infoList = new List <string>();
foreach (var info in infos)
{
infoList.Add((string)info["keyword"]);
infoList.Add((string)info["baike_info"]["description"]);
break;
}
textBox_total.Text = string.Join("\n", infoList);
}));
}
catch (Exception exception)
{
MessageBox.Show(exception.Message, "错误");
}
}
