public StylizeGraph(Status status = null)
{
_status = status;
_downloadManager = new FileDownloadManager();
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
_downloadManager.OnDownloadCompleted += onDownloadCompleted;
}
public Inception(Status status = null)
{
_status = status;
_downloadManager = new FileDownloadManager();
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
_downloadManager.OnDownloadCompleted += onDownloadCompleted;
}
/// <summary>
/// Create a new inception object
/// </summary>
/// <param name="status">The status object that can be used to keep track of error or exceptions</param>
/// <param name="sessionOptions">The options for running the tensorflow session.</param>
public Resnet(Status status = null, SessionOptions sessionOptions = null)
{
_status = status;
_sessionOptions = sessionOptions;
_downloadManager = new FileDownloadManager();
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
public void CleanUp()
{
if (null != mDownLoadMgr)
{
mDownLoadMgr.Destroy();
mDownLoadMgr = null;
}
}
public MultiboxGraph(Status status = null, SessionOptions sessionOptions = null)
{
_status = status;
_sessionOptions = sessionOptions;
_downloadManager = new FileDownloadManager();
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
_downloadManager.OnDownloadCompleted += onDownloadCompleted;
}
public MaskRcnnInceptionV2Coco(Status status = null, SessionOptions sessionOptions = null)
{
_status = status;
_sessionOptions = sessionOptions;
_downloadManager = new FileDownloadManager();
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
_downloadManager.OnDownloadCompleted += onDownloadCompleted;
}
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));
}
}
}
}
public CategoryImporter(
IRepository <Category> categoryRepository,
ICategoryTemplateService categoryTemplateService,
IMediaService mediaService,
ILocalizedEntityService localizedEntityService,
FileDownloadManager fileDownloadManager)
{
_categoryRepository = categoryRepository;
_categoryTemplateService = categoryTemplateService;
_mediaService = mediaService;
_localizedEntityService = localizedEntityService;
_fileDownloadManager = fileDownloadManager;
}
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);
}
}
public CategoryImporter(
IRepository <Category> categoryRepository,
IRepository <MediaFile> pictureRepository,
ICategoryTemplateService categoryTemplateService,
IPictureService pictureService,
ILocalizedEntityService localizedEntityService,
FileDownloadManager fileDownloadManager)
{
_categoryRepository = categoryRepository;
_pictureRepository = pictureRepository;
_categoryTemplateService = categoryTemplateService;
_pictureService = pictureService;
_localizedEntityService = localizedEntityService;
_fileDownloadManager = fileDownloadManager;
}
public void BeginDownload(ServerFileInfo serverInfo)
{
mDownLoadMgr = new NewFileSystem.FileDownloadManager();
mDownLoadMgr.Init();
mDownLoadMgr.BeginSynchronize(serverInfo, delegate() {
mPersistentFileListDic = new Dictionary <string, FileDetailInfo>(mDownLoadMgr.GetPersistentFileList());
Dictionary <string, FileDetailInfo> streamingFileListDic = mDownLoadMgr.GetStreamingFileList();
if (null != streamingFileListDic)
{
mStreamingFileListDic = new Dictionary <string, FileDetailInfo>(streamingFileListDic);
}
mDownLoadMgr.Destroy();
mDownLoadMgr = null;
GameMain.Instance.EventMgr.PostObjectEvent(EventId.DownLoadFinish, null);
});
}
public async Task Init(YoloVersion version = YoloVersion.YoloV3, System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
{
if (_yoloDetector == null)
{
FileDownloadManager manager = new FileDownloadManager();
if (version == YoloVersion.YoloV3Spp)
{
manager.AddFile(
"https://pjreddie.com/media/files/yolov3-spp.weights",
_modelFolderName);
manager.AddFile(
"https://github.com/pjreddie/darknet/raw/master/cfg/yolov3-spp.cfg",
_modelFolderName);
}
else if (version == YoloVersion.YoloV3)
{
manager.AddFile(
"https://pjreddie.com/media/files/yolov3.weights",
_modelFolderName);
manager.AddFile(
"https://github.com/pjreddie/darknet/raw/master/cfg/yolov3.cfg",
_modelFolderName);
}
else if (version == YoloVersion.YoloV3Tiny)
{
manager.AddFile(
"https://pjreddie.com/media/files/yolov3-tiny.weights",
_modelFolderName);
manager.AddFile(
"https://github.com/pjreddie/darknet/raw/master/cfg/yolov3-tiny.cfg",
_modelFolderName);
}
manager.AddFile("https://github.com/pjreddie/darknet/raw/master/data/coco.names",
_modelFolderName);
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
_yoloDetector = DnnInvoke.ReadNetFromDarknet(manager.Files[1].LocalFile, manager.Files[0].LocalFile);
_labels = File.ReadAllLines(manager.Files[2].LocalFile);
}
}
/// <summary>
/// Download and initialize the freetype object
/// </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)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/emgucv/emgucv/raw/4.4.0/Emgu.CV.Test/NotoSansCJK-Regular.ttc",
_modelFolderName,
"E3C629CB9F416E2E57CFDFEE7573D5CAC3A06A681C105EC081AB9707C1F147E8");
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
await manager.Download();
if (manager.AllFilesDownloaded)
{
LoadFontData(manager.Files[0].LocalFile, 0);
}
}
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
}
}
}
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);
* }*/
}
}
}
/// <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);
}
}
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);
}
}
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");
if (onDownloadProgressChanged != null)
{
manager.OnDownloadProgressChanged += onDownloadProgressChanged;
}
await manager.Download();
using (FacemarkLBFParams facemarkParam = new CV.Face.FacemarkLBFParams())
{
_facemark = new FacemarkLBF(facemarkParam);
_facemark.LoadModel(manager.Files[0].LocalFile);
}
}
}
private async Task InitFreetype()
{
if (_freetype2 == null)
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/emgucv/emgucv/raw/4.4.0/Emgu.CV.Test/NotoSansCJK-Regular.ttc",
"Freetype");
manager.OnDownloadProgressChanged += DownloadManager_OnDownloadProgressChanged;
await manager.Download();
_freetype2 = new Freetype2();
_freetype2.LoadFontData(manager.Files[0].LocalFile, 0);
}
}
public MobilenetPage()
: base()
{
var button = this.GetButton();
button.Text = "Perform Image Recognition";
button.Clicked += OnButtonClicked;
OnImagesLoaded += (sender, image) =>
{
SetMessage("Please wait...");
SetImage();
_image = image;
#if !DEBUG
try
#endif
{
SetMessage("Please wait while the Mobilenet Model is being downloaded...");
_downloadManager = new FileDownloadManager();
String downloadUrl = "https://github.com/emgucv/models/raw/master/mobilenet_v1_1.0_224_float_2017_11_08/";
String[] fileNames = new string[] { "mobilenet_v1_1.0_224.tflite", "labels.txt" };
for (int i = 0; i < fileNames.Length; i++)
{
_downloadManager.AddFile(downloadUrl + fileNames[i]);
}
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
_downloadManager.OnDownloadCompleted += onDownloadCompleted;
_downloadManager.Download();
}
#if !DEBUG
catch (Exception e)
{
String msg = e.Message.Replace(System.Environment.NewLine, " ");
SetMessage(msg);
}
#endif
};
}
// Use this for initialization
void Start()
{
_downloadManager = new FileDownloadManager();
String downloadUrl = "https://github.com/emgucv/models/raw/master/mobilenet_v1_1.0_224_float_2017_11_08/";
String[] fileNames = new string[] { "mobilenet_v1_1.0_224.tflite", "labels.txt" };
for (int i = 0; i < fileNames.Length; i++)
{
_downloadManager.AddFile(downloadUrl + fileNames[i]);
}
_downloadManager.OnDownloadProgressChanged += onDownloadProgressChanged;
_downloadManager.OnDownloadCompleted += onDownloadCompleted;
_downloadManager.Download();
//bool loaded = TfInvoke.CheckLibraryLoaded();
//_inceptionGraph = new Inception();
_liveCameraView = false;
/*
* WebCamDevice[] devices = WebCamTexture.devices;
* cameraCount = devices.Length;
*
* if (cameraCount == 0)
* {
* _liveCameraView = false;
* }
* else
* {
* _liveCameraView = true;
* webcamTexture = new WebCamTexture(devices[0].name);
*
* baseRotation = transform.rotation;
* webcamTexture.Play();
* //data = new Color32[webcamTexture.width * webcamTexture.height];
* }*/
//StartCoroutine(_inceptionGraph.Init());
}
public async Task Init(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
FileDownloadManager manager = new FileDownloadManager();
manager.AddFile(
"https://github.com/emgucv/emgucv/raw/4.4.0/Emgu.CV.Test/NotoSansCJK-Regular.ttc",
_modelFolderName,
"E3C629CB9F416E2E57CFDFEE7573D5CAC3A06A681C105EC081AB9707C1F147E8");
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)
{
LoadFontData(manager.Files[0].LocalFile, 0);
}
}
private async Task InitTextDetector(System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
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;
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE || UNITY_WEBGL
yield return(manager.Download());
#else
await manager.Download();
#endif
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);
* }*/
}
}
}
public async Task Init(
System.Net.DownloadProgressChangedEventHandler onDownloadProgressChanged = null)
#endif
{
if (_barcodeDetector == null)
{
FileDownloadManager manager = new FileDownloadManager();
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)
{
_barcodeDetector = new BarcodeDetector(
manager.Files[0].LocalFile,
manager.Files[1].LocalFile
);
}
}
}
public ProductImporter(
IRepository <ProductPicture> productPictureRepository,
IRepository <ProductManufacturer> productManufacturerRepository,
IRepository <ProductCategory> productCategoryRepository,
IRepository <UrlRecord> urlRecordRepository,
IRepository <Product> productRepository,
ICommonServices services,
ILocalizedEntityService localizedEntityService,
IPictureService pictureService,
IManufacturerService manufacturerService,
ICategoryService categoryService,
IProductService productService,
IUrlRecordService urlRecordService,
IProductTemplateService productTemplateService,
IStoreMappingService storeMappingService,
FileDownloadManager fileDownloadManager,
SeoSettings seoSettings,
DataExchangeSettings dataExchangeSettings)
{
_productPictureRepository = productPictureRepository;
_productManufacturerRepository = productManufacturerRepository;
_productCategoryRepository = productCategoryRepository;
_urlRecordRepository = urlRecordRepository;
_productRepository = productRepository;
_services = services;
_localizedEntityService = localizedEntityService;
_pictureService = pictureService;
_manufacturerService = manufacturerService;
_categoryService = categoryService;
_productService = productService;
_urlRecordService = urlRecordService;
_productTemplateService = productTemplateService;
_storeMappingService = storeMappingService;
_fileDownloadManager = fileDownloadManager;
_seoSettings = seoSettings;
_dataExchangeSettings = dataExchangeSettings;
}
public async Task Init(DownloadProgressChangedEventHandler onDownloadProgressChanged = null, Object initOptions = null)
#endif
{
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;
#if UNITY_EDITOR || UNITY_IOS || UNITY_ANDROID || UNITY_STANDALONE
yield return(downloadManager.Download());
#else
await downloadManager.Download();
#endif
String faceFile = downloadManager.Files[0].LocalFile;
String eyeFile = downloadManager.Files[1].LocalFile;
_faceCascadeClassifier = new CascadeClassifier(faceFile);
_eyeCascadeClassifier = new CascadeClassifier(eyeFile);
}
}
private async Task 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;
}
await manager.Download();
if (manager.AllFilesDownloaded)
{
_lang = lang;
_mode = mode;
FileInfo fi = new FileInfo(manager.Files[0].LocalFile);
_ocr = new Tesseract(fi.DirectoryName, _lang, _mode);
}
}
}
public virtual void LoadHosts() {
DownloadManager = new FileDownloadManager(StatusRepo,
Config.Hosts, MultiThreadingSettings,
SyncEvilGlobal.FileDownloader, SyncEvilGlobal.GetHostChecker);
}
