private async Task InitVehicleAttributesRecognizer(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_vehicleAttrRecognizer == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://download.01.org/opencv/2020/openvinotoolkit/2020.4/open_model_zoo/models_bin/3/vehicle-attributes-recognition-barrier-0042/FP32/vehicle-attributes-recognition-barrier-0042.xml",
_modelFolderName);
manager.AddFile(
"https://download.01.org/opencv/2020/openvinotoolkit/2020.4/open_model_zoo/models_bin/3/vehicle-attributes-recognition-barrier-0042/FP32/vehicle-attributes-recognition-barrier-0042.bin",
_modelFolderName);
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
_vehicleAttrRecognizer =
DnnInvoke.ReadNetFromModelOptimizer(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
/*
* if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
* {
* _vehicleAttrRecognizer.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
* _vehicleAttrRecognizer.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
* }*/
}
}
private async Task InitLicensePlateDetector(Dnn.Backend preferredBackend, Dnn.Target preferredTarget, System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_vehicleLicensePlateDetectionModel == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml",
_modelFolderName);
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.bin",
_modelFolderName);
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
_vehicleLicensePlateDetectionModel =
new DetectionModel(manager.Files[1].LocalFile, manager.Files[0].LocalFile);
_vehicleLicensePlateDetectionModel.SetInputSize(new Size(300, 300));
_vehicleLicensePlateDetectionModel.SetInputMean(new MCvScalar());
_vehicleLicensePlateDetectionModel.SetInputScale(1.0);
_vehicleLicensePlateDetectionModel.SetInputSwapRB(false);
_vehicleLicensePlateDetectionModel.SetInputCrop(false);
_vehicleLicensePlateDetectionModel.SetPreferableBackend(preferredBackend);
_vehicleLicensePlateDetectionModel.SetPreferableTarget(preferredTarget);
}
}
InitTesseract(String lang, OcrEngineMode mode, System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_ocr == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(Emgu.CV.OCR.Tesseract.GetLangFileUrl(lang), _modelFolderName);
manager.AddFile(Emgu.CV.OCR.Tesseract.GetLangFileUrl("osd"), _modelFolderName); //script orientation detection
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(manager.Download());
#else
await manager.Download();
#endif
if (manager.AllFilesDownloaded)
{
_lang = lang;
_mode = mode;
FileInfo fi = new FileInfo(manager.Files[0].LocalFile);
_ocr = new Tesseract(fi.DirectoryName, _lang, _mode);
}
}
}
/// <summary>
/// Download and initialize the DNN face detector
/// </summary>
/// <param name="onDownloadProgressChanged">Callback when download progress has been changed</param>
/// <returns>Async task</returns>
public async Task Init(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_faceDetectorNet == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/opencv/opencv_3rdparty/raw/dnn_samples_face_detector_20170830/res10_300x300_ssd_iter_140000.caffemodel",
_modelFolderName,
"2A56A11A57A4A295956B0660B4A3D76BBDCA2206C4961CEA8EFE7D95C7CB2F2D");
manager.AddFile(
"https://raw.githubusercontent.com/opencv/opencv/4.0.1/samples/dnn/face_detector/deploy.prototxt",
_modelFolderName,
"F62621CAC923D6F37BD669298C428BB7EE72233B5F8C3389BB893E35EBBCF795");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
if (manager.AllFilesDownloaded)
{
_faceDetectorNet = DnnInvoke.ReadNetFromCaffe(manager.Files[1].LocalFile, manager.Files[0].LocalFile);
if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
{
_faceDetectorNet.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
_faceDetectorNet.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
}
}
}
}
private async Task InitLicensePlateDetector(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_vehicleLicensePlateDetector == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml",
_modelFolderName);
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.bin",
_modelFolderName);
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
_vehicleLicensePlateDetector =
DnnInvoke.ReadNetFromModelOptimizer(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
/*
* if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
* {
* _vehicleLicensePlateDetector.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
* _vehicleLicensePlateDetector.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
* }*/
}
}
Init(
DownloadableFile modelFile = null,
DownloadableFile labelFile = null,
IDelegate optDelegate = null)
{
if (!Imported)
{
_downloadManager.Clear();
_downloadManager.AddFile(modelFile);
_downloadManager.AddFile(labelFile);
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
if (_downloadManager.AllFilesDownloaded)
{
ImportGraph(optDelegate);
}
else
{
System.Diagnostics.Trace.WriteLine("Failed to download all files");
}
}
}
public async Task Init(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_faceDetector == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/opencv/opencv_3rdparty/raw/dnn_samples_face_detector_20170830/res10_300x300_ssd_iter_140000.caffemodel",
_modelFolderName);
manager.AddFile(
"https://raw.githubusercontent.com/opencv/opencv/4.0.1/samples/dnn/face_detector/deploy.prototxt",
_modelFolderName);
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
_faceDetector = DnnInvoke.ReadNetFromCaffe(manager.Files[1].LocalFile, manager.Files[0].LocalFile);
if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
{
_faceDetector.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
_faceDetector.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
}
}
}
private async Task InitVehicleAttributesRecognizer(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_vehicleAttrRecognizer == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-attributes-recognition-barrier-0042/FP32/vehicle-attributes-recognition-barrier-0042.xml",
_modelFolderName,
"9D1E877B153699CAF4547D08BFF7FE268F65B663441A42B929924B8D95DACDBB");
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-attributes-recognition-barrier-0042/FP32/vehicle-attributes-recognition-barrier-0042.bin",
_modelFolderName,
"492520E55F452223E767D54227D6EF6B60B0C1752DD7B9D747BE65D57B685A0E");
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
_vehicleAttrRecognizer =
DnnInvoke.ReadNetFromModelOptimizer(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
/*
* if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
* {
* _vehicleAttrRecognizer.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
* _vehicleAttrRecognizer.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
* }*/
}
}
public async Task Init(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
_blobFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/DepthAI/mobilenet-ssd/mobilenet-ssd.blob.sh14cmx14NCE1",
_modelFolderName,
"952C8AA1759CAB442D82781579EE4B9BA828CBED8AB9AD3C94D5222AA45DCA6E");
_blobConfigFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/DepthAI/mobilenet-ssd/mobilenet-ssd.json",
_modelFolderName,
"606A965DDF539857D3477AED659A69948D8B310A20B38C3B794F2369ECC685FE");
if (_manager == null)
{
_manager = new FileDownloadManager();
}
else
{
_manager.Clear();
}
_manager.AddFile(_blobFile);
_manager.AddFile(_blobConfigFile);
if (onDownloadProgressChanged != null)
{
_manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(_manager.Download());
#else
await _manager.Download();
#endif
}
private async Task InitVehicleAttributesRecognizer(Dnn.Backend preferredBackend, Dnn.Target preferredTarget, System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_vehicleAttrRecognizerModel == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-attributes-recognition-barrier-0042/FP32/vehicle-attributes-recognition-barrier-0042.xml",
_modelFolderName,
"9D1E877B153699CAF4547D08BFF7FE268F65B663441A42B929924B8D95DACDBB");
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/vehicle-attributes-recognition-barrier-0042/FP32/vehicle-attributes-recognition-barrier-0042.bin",
_modelFolderName,
"492520E55F452223E767D54227D6EF6B60B0C1752DD7B9D747BE65D57B685A0E");
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
//_vehicleAttrRecognizer =
// DnnInvoke.ReadNetFromModelOptimizer(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
_vehicleAttrRecognizerModel = new Model(manager.Files[1].LocalFile, manager.Files[0].LocalFile);
_vehicleAttrRecognizerModel.SetInputSize(new Size(72, 72));
_vehicleAttrRecognizerModel.SetInputMean(new MCvScalar());
_vehicleAttrRecognizerModel.SetInputCrop(false);
_vehicleAttrRecognizerModel.SetInputSwapRB(false);
_vehicleAttrRecognizerModel.SetInputScale(1.0);
_vehicleAttrRecognizerModel.SetPreferableBackend(preferredBackend);
_vehicleAttrRecognizerModel.SetPreferableTarget(preferredTarget);
}
}
private async Task InitOCR(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_ocr == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml",
_modelFolderName,
"B5B649B9566F5CF352554ACFFD44207F4AECEE1DA767F4B69F46060A102623FA");
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.bin",
_modelFolderName,
"685934518A930CC55D023A53AC2D5E47BBE81B80828354D8318DE6DC3AD5CFBA");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
_ocr =
DnnInvoke.ReadNetFromModelOptimizer(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
/*
* if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
* {
* _ocr.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
* _ocr.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
* }*/
}
}
Init(DownloadableFile modelFile = null,
DownloadableFile labelFile = null
)
{
if (_session == null)
{
_downloadManager.Clear();
String defaultLocalSubfolder = "MaskRcnn";
if (modelFile == null)
{
modelFile = new DownloadableFile(
"https://emgu-public.s3.amazonaws.com/mask_rcnn_inception_v2_coco_saved_model/mask_rcnn_inception_v2_coco_saved_model.zip",
defaultLocalSubfolder,
"4F043142473125E3758BCF9042AFF6F14C0C04A5D2273F20D1831A337176DAAC"
);
}
if (labelFile == null)
{
labelFile = new DownloadableFile(
"https://emgu-public.s3.amazonaws.com/mask_rcnn_inception_v2_coco_saved_model/coco-labels-paper.txt",
defaultLocalSubfolder,
"8925173E1B0AABFAEFDA27DE2BB908233BB8FB6E7582323D72988E4BE15A5F0B"
);
}
_downloadManager.AddFile(modelFile);
_downloadManager.AddFile(labelFile);
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
if (_downloadManager.AllFilesDownloaded)
{
System.IO.FileInfo localZipFile = new System.IO.FileInfo(_downloadManager.Files[0].LocalFile);
_savedModelDir = System.IO.Path.Combine(localZipFile.DirectoryName, "SavedModel");
if (!System.IO.Directory.Exists(_savedModelDir))
{
System.IO.Directory.CreateDirectory(_savedModelDir);
System.IO.Compression.ZipFile.ExtractToDirectory(
localZipFile.FullName,
_savedModelDir);
}
CreateSession();
}
else
{
System.Diagnostics.Trace.WriteLine("Failed to download files");
}
}
}
private async Task InitOCR(Dnn.Backend preferredBackend, Dnn.Target preferredTarget, System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
if (_ocr == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml",
_modelFolderName,
"B5B649B9566F5CF352554ACFFD44207F4AECEE1DA767F4B69F46060A102623FA");
manager.AddFile(
"https://storage.openvinotoolkit.org/repositories/open_model_zoo/2021.2/models_bin/3/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.bin",
_modelFolderName,
"685934518A930CC55D023A53AC2D5E47BBE81B80828354D8318DE6DC3AD5CFBA");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(manager.Download());
#else
await manager.Download();
#endif
_ocr =
DnnInvoke.ReadNetFromModelOptimizer(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
using (Mat seqInd = new Mat(
new Size(1, 88),
DepthType.Cv32F,
1))
{
if (seqInd.Depth == DepthType.Cv32F)
{
float[] seqIndValues = new float[seqInd.Width * seqInd.Height];
for (int j = 1; j < seqIndValues.Length; j++)
{
seqIndValues[j] = 1.0f;
}
seqIndValues[0] = 0.0f;
seqInd.SetTo(seqIndValues);
}
_ocr.SetInput(seqInd, "seq_ind");
}
_ocr.SetPreferableBackend(preferredBackend);
_ocr.SetPreferableTarget(preferredTarget);
}
}
public FaceDetectionPage()
: base()
{
var button = this.GetButton();
button.Text = "Perform Face Detection";
button.Clicked += OnButtonClicked;
OnImagesLoaded += async(sender, image) =>
{
if (image == null || image[0] == null)
{
return;
}
SetMessage("Please wait...");
//SetImage(image[0]);
SetImage(null);
FileDownloadManager downloadManager = new FileDownloadManager();
String url = "https://github.com/opencv/opencv/raw/4.2.0/data/haarcascades/";
downloadManager.AddFile(url + "/haarcascade_frontalface_default.xml", "haarcascade");
downloadManager.AddFile(url + "/haarcascade_eye.xml", "haarcascade");
downloadManager.OnDownloadProgressChanged += DownloadManager_OnDownloadProgressChanged;
await downloadManager.Download();
String faceFile = downloadManager.Files[0].LocalFile;
String eyeFile = downloadManager.Files[1].LocalFile;
long time;
List <Rectangle> faces = new List <Rectangle>();
List <Rectangle> eyes = new List <Rectangle>();
using (UMat img = image[0].GetUMat(AccessType.ReadWrite))
DetectFace.Detect(img, faceFile, eyeFile, faces, eyes, out time);
//Draw the faces in red
foreach (Rectangle rect in faces)
{
CvInvoke.Rectangle(image[0], rect, new MCvScalar(0, 0, 255), 2);
}
//Draw the eyes in blue
foreach (Rectangle rect in eyes)
{
CvInvoke.Rectangle(image[0], rect, new MCvScalar(255, 0, 0), 2);
}
String computeDevice = CvInvoke.UseOpenCL ? "OpenCL: " + Ocl.Device.Default.Name : "CPU";
SetMessage(String.Format("Detected with {1} in {0} milliseconds.", time, computeDevice));
SetImage(image[0]);
};
}
/// <summary>
/// Download and initialize the Mask Rcnn model
/// </summary>
/// <param name="onDownloadProgressChanged">Call back method during download</param>
/// <returns>Asyn task</returns>
public async Task Init(
System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_maskRcnnDetector == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/emgucv/models/raw/master/mask_rcnn_inception_v2_coco_2018_01_28/frozen_inference_graph.pb",
_modelFolderName,
"AC9B51CDE227B24D20030042E6C1E29AF75668F509E51AA84ED686787CCCC309");
manager.AddFile(
"https://github.com/opencv/opencv_extra/raw/4.1.0/testdata/dnn/mask_rcnn_inception_v2_coco_2018_01_28.pbtxt",
_modelFolderName,
"090923144D81B2E442093F965BE27ECCDA11CE5F781EAF1C7EC76932CE99641E");
manager.AddFile(
"https://github.com/emgucv/models/raw/master/mask_rcnn_inception_v2_coco_2018_01_28/coco-labels-paper.txt",
_modelFolderName,
"8925173E1B0AABFAEFDA27DE2BB908233BB8FB6E7582323D72988E4BE15A5F0B");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
if (manager.AllFilesDownloaded)
{
_maskRcnnDetector = Emgu.CV.Dnn.DnnInvoke.ReadNetFromTensorflow(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
_labels = File.ReadAllLines(manager.Files[2].LocalFile);
//prefer cuda backend if available
foreach (BackendTargetPair p in DnnInvoke.AvailableBackends)
{
if (p.Backend == Dnn.Backend.Cuda && p.Target == Target.Cuda)
{
_maskRcnnDetector.SetPreferableBackend(Dnn.Backend.Cuda);
_maskRcnnDetector.SetPreferableTarget(Target.Cuda);
break;
}
}
_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));
}
}
}
}
Init(DownloadableFile modelFile = null,
DownloadableFile labelFile = null,
String inputName = null,
String outputName = null
)
{
if (_graph == null)
{
_inputName = inputName == null ? "input" : inputName;
_outputName = outputName == null ? "output" : outputName;
_downloadManager.Clear();
String defaultLocalSubfolder = "Inception";
if (modelFile == null)
{
modelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/inception/tensorflow_inception_graph.pb",
defaultLocalSubfolder,
"A39B08B826C9D5A5532FF424C03A3A11A202967544E389ACA4B06C2BD8AEF63F"
);
}
if (labelFile == null)
{
labelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/inception/imagenet_comp_graph_label_strings.txt",
defaultLocalSubfolder,
"DA2A31ECFE9F212AE8DD07379B11A74CB2D7A110EBA12C5FC8C862A65B8E6606"
);
}
_downloadManager.AddFile(modelFile);
_downloadManager.AddFile(labelFile);
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
if (_downloadManager.AllFilesDownloaded)
{
ImportGraph();
}
else
{
System.Diagnostics.Trace.WriteLine("Failed to download files");
}
}
}
public async Task Init(
System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
if (_weChatQRCodeDetectionModel == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/WeChatCV/opencv_3rdparty/raw/wechat_qrcode/detect.prototxt",
_modelFolderName,
"E8ACFC395CAF443A47F15686A9B9207B36CB8F7E6CEB8FBAF6466665E68A9466");
manager.AddFile(
"https://github.com/WeChatCV/opencv_3rdparty/raw/wechat_qrcode/detect.caffemodel",
_modelFolderName,
"CC49B8C9BABAF45F3037610FE499DF38C8819EBDA29E90CA9F2E33270F6EF809");
manager.AddFile(
"https://github.com/WeChatCV/opencv_3rdparty/raw/wechat_qrcode/sr.prototxt",
_modelFolderName,
"8AE41ACBA97E8B4A8E741EE350481E49B8E01D787193F470A4C95EE1C02D5B61");
manager.AddFile(
"https://github.com/WeChatCV/opencv_3rdparty/raw/wechat_qrcode/sr.caffemodel",
_modelFolderName,
"E5D36889D8E6EF2F1C1F515F807CEC03979320AC81792CD8FB927C31FD658AE3");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(manager.Download());
#else
await manager.Download();
#endif
if (manager.AllFilesDownloaded)
{
_weChatQRCodeDetectionModel = new WeChatQRCode(
manager.Files[0].LocalFile,
manager.Files[1].LocalFile,
manager.Files[2].LocalFile,
manager.Files[3].LocalFile
);
}
}
}
private async Task InitTesseract(String lang, OcrEngineMode mode)
{
if (_ocr == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(Emgu.CV.OCR.Tesseract.GetLangFileUrl(lang), _modelFolderName);
manager.AddFile(Emgu.CV.OCR.Tesseract.GetLangFileUrl("osd"), _modelFolderName); //script orientation detection
manager.OnDownloadProgressChanged += DownloadManager_OnDownloadProgressChanged;
await manager.Download();
FileInfo fi = new FileInfo(manager.Files[0].LocalFile);
_ocr = new Tesseract(fi.DirectoryName, lang, mode);
}
}
Init(String[] modelFiles = null, String downloadUrl = null, String localModelFolder = "MaskRcnn")
{
if (_graph == null)
{
_downloadManager.Clear();
String url = downloadUrl == null
? "https://github.com/emgucv/models/raw/master/mask_rcnn_inception_v2_coco_2018_01_28/"
: downloadUrl;
String[] fileNames = modelFiles == null
? new string[] { "frozen_inference_graph.pb", "coco-labels-paper.txt" }
: modelFiles;
for (int i = 0; i < fileNames.Length; i++)
{
_downloadManager.AddFile(url + fileNames[i], localModelFolder);
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
ImportGraph();
#endif
}
}
private async Task InitTextDetector(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_textDetector == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/emgucv/models/raw/master/scene_text/DB_TD500_resnet50.onnx",
_modelFolderName,
"7B83A5E7AFBBD9D70313C902D188FF328656510DBF57D66A711E07DFDB81DF20");
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
if (manager.AllFilesDownloaded)
{
_textDetector = new TextDetectionModel_DB(manager.Files[0].LocalFile);
_textDetector.BinaryThreshold = 0.3f;
_textDetector.PolygonThreshold = 0.5f;
_textDetector.MaxCandidates = 200;
_textDetector.UnclipRatio = 2.0;
_textDetector.SetInputScale(1.0 / 255.0);
_textDetector.SetInputSize(new Size(736, 736));
_textDetector.SetInputMean(new MCvScalar(122.67891434, 116.66876762, 104.00698793));
/*
* if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
* {
* _vehicleAttrRecognizer.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
* _vehicleAttrRecognizer.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
* }*/
}
}
}
Init(String[] modelFiles = null,
String downloadUrl = null,
String inputName = null,
String outputName = null,
String localModelFolder = "Inception"
)
{
_inputName = inputName == null ? "input" : inputName;
_outputName = outputName == null ? "output" : outputName;
_downloadManager.Clear();
String url = downloadUrl == null ? "https://github.com/emgucv/models/raw/master/inception/" : downloadUrl;
String[] fileNames = modelFiles == null ? new string[] { "tensorflow_inception_graph.pb", "imagenet_comp_graph_label_strings.txt" } : modelFiles;
for (int i = 0; i < fileNames.Length; i++)
{
_downloadManager.AddFile(url + fileNames[i], localModelFolder);
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
ImportGraph();
}
Init(
DownloadableFile modelFile = null)
{
if (_graph == null)
{
String defaultLocalSubfolder = "Stylize";
if (modelFile == null)
{
modelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/stylize_v1/stylize_quantized.pb",
defaultLocalSubfolder,
"6753E2BFE7AA1D9FCFE01D8235E848C8201E54C6590423893C8124971E7C7DB0"
);
}
_downloadManager.Clear();
_downloadManager.AddFile(modelFile);
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
if (_downloadManager.AllFilesDownloaded)
{
ImportGraph();
}
else
{
System.Diagnostics.Trace.WriteLine("Failed to download files");
}
}
}
/// <summary>
/// Download and initialize the facial landmark detector
/// </summary>
/// <param name="onDownloadProgressChanged">Callback when download progress has been changed</param>
/// <returns>Async task</returns>
public async Task Init(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_facemark == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://raw.githubusercontent.com/kurnianggoro/GSOC2017/master/data/lbfmodel.yaml",
"facemark",
"70DD8B1657C42D1595D6BD13D97D932877B3BED54A95D3C4733A0F740D1FD66B");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
if (manager.AllFilesDownloaded)
{
using (FacemarkLBFParams facemarkParam = new CV.Face.FacemarkLBFParams())
{
_facemark = new FacemarkLBF(facemarkParam);
_facemark.LoadModel(manager.Files[0].LocalFile);
}
}
}
}
public async Task Init(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
if (_faceDetectionModel == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/opencv/opencv_3rdparty/raw/dnn_samples_face_detector_20170830/res10_300x300_ssd_iter_140000.caffemodel",
_modelFolderName,
"2A56A11A57A4A295956B0660B4A3D76BBDCA2206C4961CEA8EFE7D95C7CB2F2D");
manager.AddFile(
"https://raw.githubusercontent.com/opencv/opencv/4.0.1/samples/dnn/face_detector/deploy.prototxt",
_modelFolderName,
"F62621CAC923D6F37BD669298C428BB7EE72233B5F8C3389BB893E35EBBCF795");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(manager.Download());
#else
await manager.Download();
#endif
if (manager.AllFilesDownloaded)
{
_faceDetectionModel = new DetectionModel(manager.Files[0].LocalFile, manager.Files[1].LocalFile);
_faceDetectionModel.SetInputMean(new MCvScalar(104, 177, 123));
_faceDetectionModel.SetInputSize(new Size(300, 300));
_faceDetectionModel.SetInputSwapRB(false);
_faceDetectionModel.SetInputScale(1.0);
_faceDetectionModel.SetInputCrop(false);
#if !(UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL)
if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
{
_faceDetectionModel.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
_faceDetectionModel.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
}
#endif
}
}
}
Init(
DownloadableFile modelFile = null,
DownloadableFile labelFile = null,
String localModelFolder = "Multibox")
{
if (_graph == null)
{
//String defaultLocalSubfolder = "Multibox";
if (modelFile == null)
{
modelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/mobile_multibox_v1a/multibox_model.pb",
localModelFolder,
"D1466DF5497E722E4A49E3839F667F07C579DD4C049258018E5F8EE9E01943A7"
);
}
if (labelFile == null)
{
labelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/mobile_multibox_v1a/multibox_location_priors.txt",
localModelFolder,
"8742979FBAAAAB73CDDE4FAB55126AD78C6D9F84F310D8D51566BDF3F48F1E65"
);
}
_downloadManager.Clear();
_downloadManager.AddFile(modelFile);
_downloadManager.AddFile(labelFile);
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
if (_downloadManager.AllFilesDownloaded)
{
ImportGraph();
}
else
{
System.Diagnostics.Trace.WriteLine("Failed to download files");
}
}
}
public void Init(String[] modelFiles = null, String downloadUrl = null)
{
_downloadManager.Clear();
String url = downloadUrl == null ? "https://github.com/emgucv/models/raw/master/stylize_v1/" : downloadUrl;
String[] fileNames = modelFiles == null ? new string[] { "stylize_quantized.pb" } : modelFiles;
for (int i = 0; i < fileNames.Length; i++)
_downloadManager.AddFile(url + fileNames[i]);
_downloadManager.Download();
}
private async Task InitTextRecognizer(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
if (_ocr == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/emgucv/models/raw/master/scene_text/crnn_cs_CN.onnx",
_modelFolderName,
"C760BF82D684B87DFABB288E6C0F92D41A8CD6C1780661CA2C3CD10C2065A9BA");
manager.AddFile(
"https://github.com/emgucv/models/raw/master/scene_text/alphabet_3944.txt",
_modelFolderName,
"8027C9832D86764FECCD9BDD8974829C86994617E5787F178ED97DB2BDA1481A");
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(manager.Download());
#else
await manager.Download();
#endif
if (manager.AllFilesDownloaded)
{
_ocr = new TextRecognitionModel(manager.Files[0].LocalFile);
_ocr.DecodeType = "CTC-greedy";
String[] vocab = File.ReadAllLines(manager.Files[1].LocalFile);
_ocr.Vocabulary = vocab;
_ocr.SetInputScale(1.0 / 127.5);
_ocr.SetInputMean(new MCvScalar(127.5, 127.5, 127.5));
_ocr.SetInputSize(new Size(100, 32));
/*
* if (Emgu.CV.Cuda.CudaInvoke.HasCuda)
* {
* _vehicleAttrRecognizer.SetPreferableBackend(Emgu.CV.Dnn.Backend.Cuda);
* _vehicleAttrRecognizer.SetPreferableTarget(Emgu.CV.Dnn.Target.Cuda);
* }*/
}
}
}
Init(
DownloadableFile modelFile = null,
DownloadableFile labelFile = null)
{
_downloadManager.Clear();
String defaultLocalSubfolder = "Inception";
if (modelFile == null)
{
modelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/inception_flower_retrain/optimized_graph.tflite",
defaultLocalSubfolder,
"9E4F5BF63CC7975EB17ECA1398C3046AC39451F462976750258CE7072BB0ECCD"
);
}
if (labelFile == null)
{
labelFile = new DownloadableFile(
"https://github.com/emgucv/models/raw/master/inception_flower_retrain/output_labels.txt",
defaultLocalSubfolder,
"298454B11DBEE503F0303367F3714D449855071DF9ECAC16AB0A01A0A7377DB6"
);
}
_downloadManager.AddFile(modelFile);
_downloadManager.AddFile(labelFile);
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(_downloadManager.Download());
#else
await _downloadManager.Download();
#endif
if (_downloadManager.AllFilesDownloaded)
{
ImportGraph();
}
else
{
System.Diagnostics.Trace.WriteLine("Failed to download all files");
}
}
private async Task InitDetector()
{
if (_faceCascadeClassifier == null && _eyeCascadeClassifier == null)
{
FileDownloadManager downloadManager = new FileDownloadManager();
String url = "https://github.com/opencv/opencv/raw/4.2.0/data/haarcascades/";
downloadManager.AddFile(url + "/haarcascade_frontalface_default.xml", "haarcascade");
downloadManager.AddFile(url + "/haarcascade_eye.xml", "haarcascade");
downloadManager.OnDownloadProgressChanged += DownloadManager_OnDownloadProgressChanged;
await downloadManager.Download();
String faceFile = downloadManager.Files[0].LocalFile;
String eyeFile = downloadManager.Files[1].LocalFile;
_faceCascadeClassifier = new CascadeClassifier(faceFile);
_eyeCascadeClassifier = new CascadeClassifier(eyeFile);
}
}
/// <summary>
/// Download and initialize the face and eye cascade classifier detection model
/// </summary>
/// <param name="onDownloadProgressChanged">Call back method during download</param>
/// <returns>Asyn task</returns>
public async Task Init(DownloadProgressChangedEventHandler onDownloadProgressChanged = null, Object initOptions = null)
{
if (_faceCascadeClassifier == null || _eyeCascadeClassifier == null)
{
FileDownloadManager downloadManager = new FileDownloadManager();
String url = "https://github.com/opencv/opencv/raw/4.2.0/data/haarcascades/";
downloadManager.AddFile(url + "/haarcascade_frontalface_default.xml", "haarcascade");
downloadManager.AddFile(url + "/haarcascade_eye.xml", "haarcascade");
downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
await downloadManager.Download();
String faceFile = downloadManager.Files[0].LocalFile;
String eyeFile = downloadManager.Files[1].LocalFile;
_faceCascadeClassifier = new CascadeClassifier(faceFile);
_eyeCascadeClassifier = new CascadeClassifier(eyeFile);
}
}