public static RecogReply PredictionFunc(Guid id, int timeBudgetInMS, RecogRequest req)
{
byte[] imgBuf = req.Data;
byte[] imgType = System.Text.Encoding.UTF8.GetBytes("jpg");
Guid imgID = BufferCache.HashBufferAndType(imgBuf, imgType);
string imgFileName = imgID.ToString() + ".jpg";
string filename = Path.Combine(saveImageDir, imgFileName);
if (!File.Exists(filename))
{
FileTools.WriteBytesToFileConcurrent(filename, imgBuf);
}
Stopwatch timer = Stopwatch.StartNew();
CaffeModel.SetDevice(gpu);
string resultString = predictor.Predict(filename);
timer.Stop();
File.Delete(filename);
numImageRecognized++;
Console.WriteLine("Image {0}:{1}:{2}: {3}", numImageRecognized, imgFileName, timer.Elapsed, resultString);
return(VHubRecogResultHelper.FixedClassificationResult(resultString, resultString));
}
public static RecogReply PredictionFunc(Guid id, int timeBudgetInMS, RecogRequest req)
{
byte[] imgBuf = req.Data;
byte[] imgType = System.Text.Encoding.UTF8.GetBytes("jpg");
Guid imgID = BufferCache.HashBufferAndType(imgBuf, imgType);
string imgFileName = imgID.ToString() + ".jpg";
string resultString = "";
try
{
string filename = Path.Combine(saveImageDir, imgFileName);
if (!File.Exists(filename))
{
FileTools.WriteBytesToFileConcurrent(filename, imgBuf);
}
Directory.SetCurrentDirectory(rootDir);
var processStartInfo = new ProcessStartInfo
{
FileName = @"main.bat",
Arguments = filename,
//RedirectStandardOutput = true,
UseShellExecute = false
};
var process = Process.Start(processStartInfo);
//var resultString = process.StandardOutput.ReadToEnd();
process.WaitForExit();
if (File.Exists(filename + ".caption"))
{
resultString = File.ReadAllLines(filename + ".caption")[0];
}
File.Delete(filename);
File.Delete(filename + "_1.txt");
File.Delete(filename + "_1.txt.detections.prec.txt");
File.Delete(filename + "_1.txt.detections.sc.txt");
File.Delete(filename + "_1.txt.img.dmsm.fea");
File.Delete(filename + ".caption");
}
catch (Exception e)
{
Logger.Log(LogLevel.Error, e.Message);
resultString = "Service exception. Please try again.";
}
numImageRecognized++;
Console.WriteLine("Image {0}: {1}", numImageRecognized, resultString);
return(VHubRecogResultHelper.FixedClassificationResult(resultString, resultString));
}
public static RecogReply PredictionFunc(Guid id, int timeBudgetInMS, RecogRequest req)
{
byte[] data = req.Data;
byte[] dataType = System.Text.Encoding.UTF8.GetBytes("mllr");
Guid dataID = BufferCache.HashBufferAndType(data, dataType);
string dataFileName = dataID.ToString() + ".mllr";
string filename = Path.Combine(saveDataDir, dataFileName);
if (!File.Exists(filename))
{
FileTools.WriteBytesToFileConcurrent(filename, data);
}
Directory.SetCurrentDirectory(rootDir);
var processStartInfo = new ProcessStartInfo
{
FileName = @"main.bat",
Arguments = filename,
//RedirectStandardOutput = true,
UseShellExecute = false
};
var process = Process.Start(processStartInfo);
//var resultString = process.StandardOutput.ReadToEnd();
process.WaitForExit();
string resultString = "";
if (File.Exists(filename + ".mllr"))
{
resultString = File.ReadAllText(filename + ".mllr");
}
File.Delete(filename);
File.Delete(filename + ".mllr");
numDataProcessed++;
Console.WriteLine("Data {0}: {1}", numDataProcessed, resultString);
return(VHubRecogResultHelper.FixedClassificationResult(resultString, resultString));
}
public static RecogReply PredictionFunc(Guid id, int timeBudgetInMS, RecogRequest req)
{
byte[] imgBuf = req.Data;
byte[] imgType = System.Text.Encoding.UTF8.GetBytes("jpg");
Guid imgID = BufferCache.HashBufferAndType(imgBuf, imgType);
string imgFileName = imgID.ToString() + ".jpg";
string filename = Path.Combine(saveImageDir, imgFileName);
if (!File.Exists(filename))
{
FileTools.WriteBytesToFileConcurrent(filename, imgBuf);
}
string result_words = wordDetector.DetectWords(filename);
string result_feature = wordDetector.ExtractFeature(filename);
string resultString = result_words + "\n" + result_feature;
File.Delete(filename);
numImageRecognized++;
Console.WriteLine("Image {0}: {1}", numImageRecognized, resultString);
return(VHubRecogResultHelper.FixedClassificationResult(resultString, resultString));
}