//新建一个线程去展示
public void DisplayBaike()
{
//if (this.InvokeRequired)
// {
// this.Invoke(new MethodInvoker(delegate { DisplayBaike(); }));
// return;
//}
var options = new Dictionary <string, object> {
{ "baike_num", 5 }
};
var image = File.ReadAllBytes(filepath1);
JObject returninfo = client.AdvancedGeneral(image, options);
JObject result = (JObject)((JArray)(returninfo["result"]))[0];
var resultlist = (JArray)(returninfo["result"]);
StringBuilder sb = new StringBuilder("");
foreach (var chars in resultlist) //循环获取值
{
JObject jo = (JObject)chars;
sb.Append(Convert.ToString(jo["root"]) + ":" + Convert.ToString(jo["keyword"]) + "\n");
sb.Append("置信度:" + Convert.ToString(jo["score"]) + "\n\n\n");
}
// richTextBox2.Text = sb.ToString();
var baike_info = (JObject)result["baike_info"];
richTextBox1.Text = Convert.ToString(baike_info["description"]);
pictureBox2.ImageLocation = Convert.ToString(baike_info["image_url"]);
Status = false;
}
public JsonResult ImagesUpload()
{
var files = HttpContext.Request.Form.Files["sunqiangFile"];
var fileName = files.FileName;
string currentPictureExtension = Path.GetExtension(files.FileName).ToUpper(); //获取图片后缀
var new_path = DateTime.Now.ToString("yyyyMMdd") + "-" + Guid.NewGuid() + "-" + files.FileName.ToUpper();
var path = Path.Combine(Directory.GetCurrentDirectory(), "wwwroot", new_path);
using (var stream = new FileStream(path, FileMode.Create))
{
//再把文件保存的文件夹中
files.CopyTo(stream);
}
var imagesbyte = System.IO.File.ReadAllBytes(path);
//var result = imageClassify.AdvancedGeneral(imagesbyte);
// 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
var result = JsonConvert.DeserializeObject <Root>(imageClassify.AdvancedGeneral(imagesbyte, options).ToString());
var data = result.result.OrderByDescending(x => x.score).First();
return(new JsonResult(data));
}
private static void ImageClassifyDemo(string filePath)
{
var image = File.ReadAllBytes(filePath);
try
{
var result = aipClassifyClient.AdvancedGeneral(image);
Console.WriteLine("Api Response :");
Console.WriteLine(result);
}
catch (Exception ex)
{
Console.WriteLine(ex.Message);
}
}
/// <summary>
/// 植物识别
/// </summary>
public void AdvancedGeneralDemo()
{
//var images = File.ReadAllBytes(@"C:\Users\Administrator\Desktop\pics\chuju.jpg");
//var images = File.ReadAllBytes("/sdcard/DCIM/SaveImage/Pic.png");
var images = File.ReadAllBytes("/sdcard/DCIM/SaveImage/balomn.png");
// 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(images);
// 如果有可选参数
var options = new Dictionary <string, object>
{
{
"baike_num", 5
}
};
//Newwonsoft 解析数据
NewtonsoftRead(result.ToString());
}
//通用物体识别
//该请求用于通用物体及场景识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的多个物体及场景标签。
public static JObject AdvancedGeneralDemo(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.AdvancedGeneral(image);
// 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
return(_imageClient.AdvancedGeneral(image, options));
}
catch (AipException exp)
{
MessageBox.Show(exp.Message, "错误", MessageBoxButtons.OK, MessageBoxIcon.Error);
}
return(null);
}
public void CapturePhoto()
{
Texture2D screenShot;
RenderTexture rt = new RenderTexture(width, height, 1);
cameras.targetTexture = rt;
cameras.Render();
RenderTexture.active = rt;
screenShot = new Texture2D(width, height, TextureFormat.RGB24, false);
screenShot.ReadPixels(new Rect(0, 0, width, height), 0, 0);
screenShot.Apply();
//在Asset路径下新建一个StreamingAsset文件夹
fileName = Application.streamingAssetsPath + "/Imagecapture.jpg";
//byte[] bytes = screenShot.EncodeToJPG();
ScaleTextureCutOut(screenShot, 0, 0, 1024, 768);
Debug.Log(string.Format("截屏一张照片: {0}", fileName));
var image = File.ReadAllBytes(fileName);
var client = new ImageClassify(api_key, secret_key);
//client = new Body(api_key, secret_key);
client.Timeout = 60000; // 修改超时时间
var result = client.AdvancedGeneral(image);
var result_num = result["result_num"];
int result_number = int.Parse(result_num.ToString());
for (int i = 0; i <= result_number - 1; i++)
{
var result_key = result["result"][i]["keyword"];
resultMsg.text = resultMsg.text + result_key.ToString() + "\n";
}
//var a = result["result"][0]["keyword"];
//resultMsg.text = result.ToString();
//Debug.Log(resultMsg.text);
Thread.Sleep(5000);
}
