private void button_recognition_animal_Click(object sender, RoutedEventArgs e)
{
try {
textBox_item.Dispatcher.Invoke(new Action(() =>
{
var image = File.ReadAllBytes(m_imgPath);
// 调用动物识别，可能会抛出网络等异常，请使用try/catch捕获
// 如果有可选参数
var options = new Dictionary <string, object> {
{ "top_num", 3 },
{ "baike_num", 5 }
};
// 带参数调用动物识别
var result = mClient.AnimalDetect(image, options);
var animals = result["result"];
List <string> animalInfos = new List <string>();
foreach (var animal in animals)
{
animalInfos.Add(string.Format("动物：{0}\n置信度：{1}", animal["name"], animal["score"]));
}
textBox_item.Text = string.Join("\n\n", animalInfos);
}));
}
catch (Exception exception)
{
MessageBox.Show(exception.Message, "错误");
}
}
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 static String GetAnimalResult(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.AnimalDetect(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());
}
