/// <summary>
/// Initiate the DNN model. If needed, it will download the model from internet.
/// </summary>
/// <returns>null if successful. Otherwise, it will return the error message</returns>
private String InitDetector()
{
if (_maskRcnnDetector == null)
{
InitPath();
String url =
"https://github.com/emgucv/models/raw/master/mask_rcnn_inception_v2_coco_2018_01_28/";
String graphFile = "frozen_inference_graph.pb";
try
{
graphFile = DnnDownloadFile(url, graphFile, _path);
}
catch (Exception e)
{
return(String.Format("Failed to download the file {0} from {1}: {2}", graphFile, url, e.Message));
}
String lookupFile = "coco-labels-paper.txt";
try
{
lookupFile = DnnDownloadFile(url, lookupFile, _path);
}
catch (Exception e)
{
return(String.Format("Failed to download the file {0} from {1}: {2}", lookupFile, url, e.Message));
}
String url2 = "https://github.com/opencv/opencv_extra/raw/4.1.0/testdata/dnn/";
String configFile = "mask_rcnn_inception_v2_coco_2018_01_28.pbtxt";
try
{
configFile = DnnDownloadFile(
url2,
configFile,
_path);
}
catch (Exception e)
{
return(String.Format("Failed to download the file {0} from {1}: {2}", configFile, url2, e.Message));
}
_maskRcnnDetector = Emgu.CV.Dnn.DnnInvoke.ReadNetFromTensorflow(graphFile, configFile);
//prefer cuda backend if available
foreach (BackendTargetPair p in DnnInvoke.GetAvailableBackends())
{
if (p.Backend == Dnn.Backend.Cuda && p.Target == Target.Cuda)
{
_maskRcnnDetector.SetPreferableBackend(Dnn.Backend.Cuda);
_maskRcnnDetector.SetPreferableTarget(Target.Cuda);
break;
}
}
//_maskRcnnDetector.SetPreferableBackend(Dnn.Backend.OpenCV);
//_maskRcnnDetector.SetPreferableTarget(Dnn.Target.Cpu);
_labels = File.ReadAllLines(lookupFile);
_colors = new MCvScalar[_labels.Length];
Random r = new Random(12345);
for (int i = 0; i < _colors.Length; i++)
{
_colors[i] = new MCvScalar(r.Next(256), r.Next(256), r.Next(256));
}
}
return(null);
}
public AboutPage()
{
String openclTxt = String.Format("Has OpenCL: {0}", CvInvoke.HaveOpenCL);
String lineBreak = "<br/>";
if (CvInvoke.HaveOpenCL)
{
openclTxt = String.Format("{0}{1}Use OpenCL: {2}{1}<textarea rows=\"5\">{3}</textarea>{1}",
openclTxt, lineBreak,
CvInvoke.UseOpenCL,
CvInvoke.OclGetPlatformsSummary());
}
var dnnBackends = DnnInvoke.GetAvailableBackends();
List <String> dnnBackendsText = new List <string>();
foreach (var dnnBackend in dnnBackends)
{
dnnBackendsText.Add(String.Format("{0} - {1}", dnnBackend.Backend, dnnBackend.Target));
}
String dnnText = String.Join(";", dnnBackendsText.ToArray());
String osDescription = Emgu.Util.Platform.OperationSystem.ToString();
Content =
new WebView()
{
WidthRequest = 1000,
HeightRequest = 1000,
Source = new HtmlWebViewSource()
{
Html =
@"<html>
<head>
<style>body { background-color: #EEEEEE; }</style>
<style type=""text/css"">
textarea { width: 100%; margin: 0; padding: 0; border - width: 0; }
</style>
</head>
<body>
<H2> Emgu CV Examples </H2>
<a href=http://www.emgu.com>Visit our website</a> <br/><br/>
<a href=mailto:[email protected]>Email Support</a> <br/><br/>
<H4> OpenCL Info </H4>
" + openclTxt + @"
<H4> OS: </H4>
" + osDescription + @"
<H4> OS Architecture: </H4>
" + RuntimeInformation.OSArchitecture + @"
<H4> Framework Description: </H4>
" + RuntimeInformation.FrameworkDescription + @"
<H4> Process Architecture: </H4>
" + RuntimeInformation.ProcessArchitecture + @"
<H4> Dnn Backends: </H4>
" + dnnText + @"
<H4> Build Info </H4>
<textarea rows=""30"">"
+ CvInvoke.BuildInformation + @"
</textarea>
</body>
</html>"
}
};
}
