private void button5_Click(object sender, EventArgs e)
{
if (filepath1 == null || filepath1 == "")
{
return;
}
viewlabel();
var image = File.ReadAllBytes(filepath1);
// 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 = client.AnimalDetect(image, options);
var resultlist = (JArray)(result["result"]);
StringBuilder sb = new StringBuilder("");
foreach (var chars in resultlist) //循环获取值
{
JObject jo = (JObject)chars;
sb.Append("名字:" + Convert.ToString(jo["name"]) + "\n");
sb.Append("置信度:" + Convert.ToString(jo["score"]) + "\n\n\n");
}
richTextBox2.Text = sb.ToString();
Status = false;
hidelabel();
}
void TestFunc(byte[] imageBytes)
{
JObject jj = imc.AnimalDetect(imageBytes);
foreach (var item in jj)
{
jsonString = item.Value.ToString();
}
List <Result> rrr = new List <Result>();
//有6个结果 第一个相似度 最高 这里只取了第一个
rrr = JsonConvert.DeserializeObject <List <Result> >(jsonString);
showRes.text = "识别结果：" + rrr[0].name + " 相似度：" + (Convert.ToSingle(rrr[0].score.ToString()) * 100).ToString() + "%";
}
public static JObject AnimalDetectDemo(byte[] image)
{
try
{
// 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
//return _imageClient.AnimalDetect(image);
// 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
return(_imageClient.AnimalDetect(image, options));
}
catch (AipException exp)
{
MessageBox.Show(exp.Message, "错误", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
return(null);
}