static async Task <int> Main(string[] args)
{
try
{
//
// Parse options
//
Options = new AppOptions();
Options.Parse(args);
if (Options.ShowList)
{
}
if (Options.Exit)
{
return(-1);
}
if (string.IsNullOrEmpty(Options.FileName))
{
throw new ApplicationException("Please use --file to specify which file to use");
}
//
// Init module client
//
if (Options.UseEdge)
{
Log.WriteLine($"{AppOptions.AppName} module starting.");
await BlockTimer("Initializing Azure IoT Edge", async() => await InitEdge());
}
cts = new CancellationTokenSource();
AssemblyLoadContext.Default.Unloading += (ctx) => cts.Cancel();
Console.CancelKeyPress += (sender, cpe) => cts.Cancel();
//
// Load model
//
MLModel model = null;
Console.WriteLine($"Loading model from: '{Options.ModelPath}', Exists: '{File.Exists(Options.ModelPath)}'");
await BlockTimer($"Loading modelfile '{Options.ModelPath}' on the {(Options.UseGpu ? "GPU" : "CPU")}",
async() =>
{
var d = Directory.GetCurrentDirectory();
var path = d + "\\" + Options.ModelPath;
StorageFile modelFile = await AsAsync(StorageFile.GetFileFromPathAsync(path));
model = await MLModel.CreateFromStreamAsync(modelFile);
});
do
{
//
// Open file
//
var rows = new List <DataRow>();
try
{
using (var fs = new StreamReader(Options.FileName))
{
// I just need this one line to load the records from the file in my List<CsvLine>
rows = new CsvHelper.CsvReader(fs).GetRecords <DataRow>().ToList();
Console.WriteLine($"Loaded {rows.Count} row(s)");
}
}
catch (Exception e)
{
Console.WriteLine(e);
}
Console.WriteLine(rows);
//
// Main loop
//
foreach (var row in rows)
{
//
// Evaluate model
//
var inputShape = new long[2] {
1, 4
};
var inputFeatures = new float[4] {
row.Temperature, row.Pressure, row.Humidity, row.ExternalTemperature
};
MLModelVariable result = null;
var evalticks = await BlockTimer("Running the model",
async() =>
{
result = await model.EvaluateAsync(new MLModelVariable()
{
Variable = TensorFloat.CreateFromArray(inputShape, inputFeatures)
});
});
//
// Print results
//
var message = new MessageBody
{
result = result.Variable.GetAsVectorView().First()
};
message.metrics.evaltimeinms = evalticks;
var json = JsonConvert.SerializeObject(message);
Log.WriteLineRaw($"Recognized {json}");
//
// Send results to Edge
//
if (Options.UseEdge)
{
var eventMessage = new Message(Encoding.UTF8.GetBytes(json));
await ioTHubModuleClient.SendEventAsync("resultsOutput", eventMessage);
// Let's not totally spam Edge :)
await Task.Delay(500);
}
Console.WriteLine("Waiting 1 second...");
Thread.Sleep(1000);
}
}while (Options.RunForever && !cts.Token.IsCancellationRequested);
}
catch (Exception ex)
{
Console.WriteLine(ex);
return(-1);
}
return(0);
}
static void Main(string[] args)
{
try
{
//
// Parse options
//
Options = new AppOptions();
Options.Parse(args);
//
// Enumerate devices
//
var devicepaths = SerialPort.GetPortNames();
if (Options.List || string.IsNullOrEmpty(Options.DeviceName))
{
if (devicepaths.Length > 0)
{
Log.WriteLine("Available devices:");
foreach (var devicepath in devicepaths)
{
Console.WriteLine($"{devicepath}");
}
}
else
{
Log.WriteLine("No available devices");
}
return;
}
//
// Open Device
//
var deviceid = devicepaths.Where(x => x.Contains(Options.DeviceName)).SingleOrDefault();
if (null == deviceid)
{
throw new ApplicationException($"Unable to find device containing {Options.DeviceName}");
}
Log.WriteLine($"Connecting to device {deviceid}...");
using (var device = new SerialPort())
{
//
// Configure Device
//
device.PortName = deviceid;
device.BaudRate = 115200;
device.Open();
//
// Dump device info
//
if (Options.ShowConfig)
{
Console.WriteLine("=====================================");
Console.WriteLine($"Parity: {device.Parity}");
Console.WriteLine($"Encoding: {device.Encoding}");
Console.WriteLine($"BaudRate: {device.BaudRate}");
Console.WriteLine($"DataBits: {device.DataBits}");
Console.WriteLine($"StopBits: {device.StopBits}");
Console.WriteLine($"Handshake: {device.Handshake}");
Console.WriteLine("=====================================");
}
//
// Init module client
//
if (Options.UseEdge)
{
Init().Wait();
}
//
// Set up a background thread to read from the device
//
if (Options.Receive)
{
var background = Task.Run(() => ReaderTask(device));
}
//
// Continuously write to serial device every second
//
if (Options.Transmit)
{
var background = Task.Run(() => TransmitTask(device));
}
// Wait until the app unloads or is cancelled
if (Options.Receive || Options.Transmit)
{
var cts = new CancellationTokenSource();
AssemblyLoadContext.Default.Unloading += (ctx) => cts.Cancel();
Console.CancelKeyPress += (sender, cpe) => cts.Cancel();
WhenCancelled(cts.Token).Wait();
}
}
}
catch (Exception ex)
{
Log.WriteLineException(ex);
}
}
static async Task <int> Main(string[] args)
{
try
{
//
// Parse options
//
Options = new AppOptions();
Options.Parse(args);
if (Options.ShowList)
{
var devices = await FrameSource.GetSourceNamesAsync();
Log.WriteLine("Available cameras:");
foreach (var device in devices)
{
Log.WriteLine(device);
}
}
if (Options.Exit)
{
return(-1);
}
if (string.IsNullOrEmpty(Options.DeviceId))
{
throw new ApplicationException("Please use --device to specify which camera to use");
}
//
// Init module client
//
if (Options.UseEdge)
{
Log.WriteLine($"{AppOptions.AppName} module starting.");
await BlockTimer("Initializing Azure IoT Edge", async() => await InitEdge());
}
cts = new CancellationTokenSource();
AssemblyLoadContext.Default.Unloading += (ctx) => cts.Cancel();
Console.CancelKeyPress += (sender, cpe) => cts.Cancel();
//
// Load model
//
ScoringModel model = null;
await BlockTimer($"Loading modelfile '{Options.ModelPath}' on the {(Options.UseGpu ? "GPU" : "CPU")}",
async() => {
var d = Directory.GetCurrentDirectory();
var path = d + "\\" + Options.ModelPath;
StorageFile modelFile = await AsAsync(StorageFile.GetFileFromPathAsync(path));
model = await ScoringModel.CreateFromStreamAsync(modelFile, Options.UseGpu);
});
//
// Open camera
//
using (var frameSource = new FrameSource())
{
await frameSource.StartAsync(Options.DeviceId, Options.UseGpu);
//
// Main loop
//
do
{
Log.WriteLineVerbose("Getting frame...");
using (var frame = await frameSource.GetFrameAsync())
{
var inputImage = frame.VideoMediaFrame.GetVideoFrame();
ImageFeatureValue imageTensor = ImageFeatureValue.CreateFromVideoFrame(inputImage);
//
// Evaluate model
//
ScoringOutput outcome = null;
var evalticks = await BlockTimer("Running the model",
async() =>
{
var input = new ScoringInput()
{
data = imageTensor
};
outcome = await model.EvaluateAsync(input);
});
//
// Print results
//
var message = ResultsToMessage(outcome);
message.metrics.evaltimeinms = evalticks;
var json = JsonConvert.SerializeObject(message);
Log.WriteLineRaw($"Recognized {json}");
//
// Send results to Edge
//
if (Options.UseEdge)
{
var eventMessage = new Message(Encoding.UTF8.GetBytes(json));
await ioTHubModuleClient.SendEventAsync("resultsOutput", eventMessage);
// Let's not totally spam Edge :)
await Task.Delay(500);
}
}
}while (Options.RunForever && !cts.Token.IsCancellationRequested);
await frameSource.StopAsync();
}
return(0);
}
catch (Exception ex)
{
Log.WriteLineException(ex);
return(-1);
}
}
static void Main(string[] args)
{
try
{
//
// Parse options
//
Options = new AppOptions();
Options.Parse(args);
Log.Enabled = !Options.Quiet;
Log.Verbose = Options.Verbose;
//
// Enumerate devices
//
var devicepaths = Win32Serial.Device.EnumerateDevices();
if (Options.List || string.IsNullOrEmpty(Options.DeviceName))
{
if (devicepaths.Length > 0)
{
Log.WriteLine("Available devices:");
foreach (var devicepath in devicepaths)
{
Log.WriteLine($"{devicepath}");
}
}
else
{
Log.WriteLine("No available devices");
}
return;
}
//
// Open Device
//
var deviceid = devicepaths.Where(x => x.Contains(Options.DeviceName)).SingleOrDefault();
if (null == deviceid)
{
throw new ApplicationException($"Unable to find device containing {Options.DeviceName}");
}
Log.WriteLine($"{DateTime.Now.ToLocalTime()} Connecting to device {deviceid}...");
using (var device = Win32Serial.Device.Create(deviceid))
{
//
// Configure Device
//
var config = device.Config;
config.BaudRate = 115200;
device.Config = config;
var timeouts = device.Timeouts;
timeouts.ReadIntervalTimeout = 10;
timeouts.ReadTotalTimeoutConstant = 0;
timeouts.ReadTotalTimeoutMultiplier = 0;
timeouts.WriteTotalTimeoutConstant = 0;
timeouts.WriteTotalTimeoutConstant = 0;
device.Timeouts = timeouts;
//
// Dump device info
//
if (Options.ShowConfig)
{
Log.WriteLine("=====================================");
foreach (var line in device.Info)
{
Log.WriteLine(line);
}
Log.WriteLine("=====================================");
}
//
// Init module client
//
if (Options.UseEdge)
{
Init().Wait();
}
//
// Set up a background thread to read from the device
//
if (Options.Receive)
{
var background = Task.Run(() => ReaderTask(device));
}
//
// Continuously write to serial device every second
//
if (Options.Transmit)
{
var background = Task.Run(() => TransmitTask(device));
}
// Wait until the app unloads or is cancelled
if (Options.Receive || Options.Transmit)
{
var cts = new CancellationTokenSource();
AssemblyLoadContext.Default.Unloading += (ctx) => cts.Cancel();
Console.CancelKeyPress += (sender, cpe) => cts.Cancel();
WhenCancelled(cts.Token).Wait();
}
}
}
catch (Exception ex)
{
Log.WriteLineException(ex);
}
}
static async Task Main(string[] args)
{
try
{
//
// Parse options
//
Options = new AppOptions();
Options.Parse(args);
if (Options.Exit)
{
return;
}
//
// Open Device
//
using (var device = await Si7021.Open())
{
if (null == device)
{
throw new ApplicationException($"Unable to open sensor. Please ensure that no other applications are using this device.");
}
//
// Dump device info
//
Log.WriteLineRaw($"Model: {device.Model}");
Log.WriteLineRaw($"Serial Number: {device.SerialNumber}");
Log.WriteLineRaw($"Firmware Rev: {device.FirmwareRevision}");
//
// Init module client
//
if (Options.UseEdge)
{
Init().Wait();
}
//
// Launch background thread to obtain readings
//
var background = Task.Run(async() =>
{
while (true)
{
device.Update();
var message = new MessageBody();
message.Ambient.Temperature = device.Temperature;
message.Ambient.Humidity = device.Humidity;
message.TimeCreated = DateTime.Now;
string dataBuffer = JsonConvert.SerializeObject(message);
var eventMessage = new Message(Encoding.UTF8.GetBytes(dataBuffer));
Log.WriteLineRaw($"SendEvent: [{dataBuffer}]");
if (Options.UseEdge)
{
await ioTHubModuleClient.SendEventAsync("temperatureOutput", eventMessage);
}
await Task.Delay(1000);
}
});
//
// Wait until the app unloads or is cancelled
//
var cts = new CancellationTokenSource();
AssemblyLoadContext.Default.Unloading += (ctx) => cts.Cancel();
Console.CancelKeyPress += (sender, cpe) => cts.Cancel();
WhenCancelled(cts.Token).Wait();
}
}
catch (Exception ex)
{
Log.WriteLineException(ex);
}
}
static async Task <int> Main(string[] args)
{
try
{
//
// Parse options
//
Options = new AppOptions();
Options.Parse(args);
if (Options.ShowList)
{
var devices = await FrameSource.GetSourceNamesAsync();
Log.WriteLine("Available cameras:");
foreach (var device in devices)
{
Log.WriteLine(device);
}
}
if (Options.Exit)
{
return(-1);
}
if (!Options.UseImages)
{
if (string.IsNullOrEmpty(Options.DeviceId))
{
throw new ApplicationException("Please use --device to specify which camera to use");
}
}
try
{
string sv = AnalyticsInfo.VersionInfo.DeviceFamilyVersion;
ulong v = ulong.Parse(sv);
ulong v1 = (v & 0xFFFF000000000000L) >> 48;
ulong v2 = (v & 0x0000FFFF00000000L) >> 32;
ulong v3 = (v & 0x00000000FFFF0000L) >> 16;
ulong v4 = (v & 0x000000000000FFFFL);
var systemVersion = $"{v1}.{v2}.{v3}.{v4}";
_stats.CurrentVideoDeviceId = Options.DeviceId;
_stats.Platform = $"{AnalyticsInfo.VersionInfo.DeviceFamily} - {System.Environment.GetEnvironmentVariable("PROCESSOR_ARCHITECTURE") ?? "Unknown"} - {systemVersion}";
}
catch (Exception)
{
}
//
// Init module client
//
if (Options.UseEdge)
{
Log.WriteLine($"{AppOptions.AppName} module starting.");
await BlockTimer("Initializing Azure IoT Edge", async() => await InitEdge());
}
cts = new CancellationTokenSource();
AssemblyLoadContext.Default.Unloading += (ctx) => cts.Cancel();
Console.CancelKeyPress += (sender, cpe) => cts.Cancel();
//
// Load model
//
ScoringModel model = null;
await BlockTimer($"Loading modelfile '{Options.ModelPath}' on the {(Options.UseGpu ? "GPU" : "CPU")}",
async() =>
{
var d = Directory.GetCurrentDirectory();
var path = d + "\\" + Options.ModelPath;
StorageFile modelFile = await AsAsync(StorageFile.GetFileFromPathAsync(path));
model = await ScoringModel.CreateFromStreamAsync(modelFile, Options.UseGpu);
});
_stats.OnnxModelLoaded = true;
_stats.CurrentOnnxModel = Options.ModelPath;
_stats.IsGpu = Options.UseGpu;
// WebServer Code
HttpServer httpsv = null;
bool HttpServerStarted = false;
if (Options.RunForever)
{
try
{
Log.WriteLine($"Start HTTP Server on port : " + Options.WebServerPort.ToString());
httpsv = new HttpServer(Options.WebServerPort);
httpsv.Start();
httpsv.OnGet += HttpsvOnOnGet;
HttpServerStarted = true;
Log.WriteLine($"- HTTP Server Started.");
Log.WriteLine($"");
}
catch (Exception e)
{
HttpServerStarted = false;
Log.WriteLine($"Exiting - Websockets Server Failed to start : " + e.Message);
}
}
//
// Open camera
//
FrameSource frameSource = null;
ImageFileSource imageFileSource = null;
if (Options.UseImages)
{
imageFileSource = new ImageFileSource();
imageFileSource.ScanUpdateQueue(Options.ImagePath);
}
else
{
frameSource = new FrameSource();
await frameSource.StartAsync(Options.DeviceId, Options.UseGpu);
}
_stats.DeviceInitialized = true;
SetLatestStatsPayload(JsonConvert.SerializeObject(_stats));
//
// Main loop
//
do
{
ScoringOutput outcome = null;
int evalticks = 0;
Log.WriteLineVerbose("Getting frame...");
byte[] data = new byte[] { };
byte[] annotatedData = new byte[] { };
MessageBody message = null;
//
// Use Image File Source or fall back to Webcam Source if not specified
//
if (Options.UseImages)
{
var(fileName, sbmp) = await imageFileSource.GetNextImageAsync(Options.ImagePath, cts.Token);
using (var vf = VideoFrame.CreateWithSoftwareBitmap(sbmp))
{
ImageFeatureValue imageTensor = ImageFeatureValue.CreateFromVideoFrame(vf);
_stats.TotalFrames = _stats.TotalFrames + 1;
//
// Evaluate model
//
var ticksTaken = await BlockTimer($"Running the model",
async() =>
{
var input = new ScoringInput()
{
data = imageTensor
};
outcome = await model.EvaluateAsync(input);
});
evalticks = ticksTaken;
message = ResultsToMessage(outcome);
message.metrics.evaltimeinms = evalticks;
_stats.TotalEvaluations = _stats.TotalEvaluations + 1;
message.imgSrc = fileName;
string summaryText = "";
if (message.results.Length > 0)
{
summaryText = $"Matched : {message.results[0].label} - Confidence ={message.results[0].confidence.ToString("P")} - Eval Time {message.metrics.evaltimeinms} ms";
}
data = await ImageUtils.GetConvertedImage(sbmp);
annotatedData = await ImageUtils.AnnotateImage(sbmp, $"Current Image : {fileName ?? "-"}", summaryText);
}
}
else
{
using (var frame = await frameSource.GetFrameAsync())
{
var inputImage = frame.VideoMediaFrame.GetVideoFrame();
ImageFeatureValue imageTensor = ImageFeatureValue.CreateFromVideoFrame(inputImage);
_stats.TotalFrames = _stats.TotalFrames + 1;
//
// Evaluate model
//
var ticksTaken = await BlockTimer("Running the model",
async() =>
{
var input = new ScoringInput()
{
data = imageTensor
};
outcome = await model.EvaluateAsync(input);
});
evalticks = ticksTaken;
message = ResultsToMessage(outcome);
message.metrics.evaltimeinms = evalticks;
_stats.TotalEvaluations = _stats.TotalEvaluations + 1;
string summaryText = "";
if (message.results.Length > 0)
{
summaryText = $"Matched : {message.results[0].label} - Confidence ={message.results[0].confidence.ToString("P")} - Eval Time {message.metrics.evaltimeinms} ms";
}
data = await ImageUtils.GetConvertedImage(inputImage.SoftwareBitmap);
annotatedData = await ImageUtils.AnnotateImage(inputImage.SoftwareBitmap, $"Current Webcam : {Options.DeviceId ?? "-"}", summaryText);
}
}
if (message != null)
{
//
// Print results
//
message.metrics.evaltimeinms = evalticks;
var json = JsonConvert.SerializeObject(message,
new JsonSerializerSettings
{
//won't print null imgSrc if null
NullValueHandling = NullValueHandling.Ignore
});
Log.WriteLineRaw($"Inferenced: {json}");
if (Options.UseWebServer)
{
//
// Update the latest webserver payload snapshots with data from inferencing
//
UpdateWebServerPayloads(message, data, annotatedData);
}
//
// Send results to Edge
//
if (Options.UseEdge)
{
var eventMessage = new Message(Encoding.UTF8.GetBytes(json));
await ioTHubModuleClient.SendEventAsync("resultsOutput", eventMessage);
// Let's not totally spam Edge :)
await Task.Delay(500);
}
else if (Options.UseImages)
{
//slow it down a little..
await Task.Delay(TimeSpan.FromSeconds(5));
}
}
}while (Options.RunForever && !cts.Token.IsCancellationRequested);
if (frameSource != null)
{
await frameSource.StopAsync();
}
if (HttpServerStarted)
{
try
{
Log.WriteLine($"- Stopping Web Server.");
httpsv.OnGet -= HttpsvOnOnGet;
httpsv.Stop();
httpsv = null;
Log.WriteLine($"- Web Server Stopped.");
}
catch (Exception)
{
}
}
return(0);
}
catch (Exception ex)
{
Log.WriteLineException(ex);
return(-1);
}
}
