/// <summary>
/// Text recognition on the cloud. If you want to use cloud text analyzer,
/// you need to apply for an agconnect-services.json file
/// in the developer alliance(https://developer.huawei.com/consumer/en/doc/development/HMS-Guides/ml-add-agc),
/// add agconnect-services.json to Assets folder in the project.
/// </summary>
private async void RemoteAnalyzer()
{
// Set the list of languages to be recognized.
IList <string> languageList = new List <string>();
languageList.Add("zh");
languageList.Add("en");
// Create an analyzer. You can customize the analyzer by creating MLRemoteTextSetting
MLRemoteTextSetting setting =
new MLRemoteTextSetting.Factory()
.SetTextDensityScene(MLRemoteTextSetting.OcrCompactScene)
.SetLanguageList(languageList)
.SetBorderType(MLRemoteTextSetting.Arc)
.Create();
this.analyzer = MLAnalyzerFactory.Instance.GetRemoteTextAnalyzer(setting);
// Use default parameter settings.
//analyzer = MLAnalyzerFactory.Instance.RemoteTextAnalyzer;
// Create an MLFrame by using Android.Graphics.Bitmap.
Bitmap bitmap = BitmapFactory.DecodeResource(this.Resources, Resource.Drawable.text_image);
MLFrame frame = MLFrame.FromBitmap(bitmap);
Task <MLText> task = this.analyzer.AnalyseFrameAsync(frame);
try
{
await task;
if (task.IsCompleted && task.Result != null)
{
// Analyze success.
var result = task.Result;
this.RemoteDisplaySuccess(result);
}
else
{
// Analyze failure.
Log.Info(Tag, " Analyze failure ");
}
}
catch (Exception e)
{
// Operation failure.
Log.Info(Tag, " Operation failure: " + e.Message);
this.DisplayFailure(e);
}
}
/// <summary>
/// Text recognition on the device
/// </summary>
private async void LocalAnalyzer()
{
// Create the text analyzer MLTextAnalyzer to recognize characters in images. You can set MLLocalTextSetting to
// specify languages that can be recognized.
// If you do not set the languages, only Romance languages can be recognized by default.
// Use default parameter settings to configure the on-device text analyzer. Only Romance languages can be
// recognized.
// analyzer = MLAnalyzerFactory.Instance.LocalTextAnalyzer;
// Use the customized parameter MLLocalTextSetting to configure the text analyzer on the device.
MLLocalTextSetting setting = new MLLocalTextSetting.Factory()
.SetOCRMode(MLLocalTextSetting.OcrDetectMode)
.SetLanguage("en")
.Create();
this.analyzer = MLAnalyzerFactory.Instance.GetLocalTextAnalyzer(setting);
// Create an MLFrame by using android.graphics.Bitmap.
Bitmap bitmap = BitmapFactory.DecodeResource(Resources, Resource.Drawable.text_image);
MLFrame frame = MLFrame.FromBitmap(bitmap);
Task <MLText> task = this.analyzer.AnalyseFrameAsync(frame);
try
{
await task;
if (task.IsCompleted && task.Result != null)
{
// Analyze success.
var result = task.Result;
this.DisplaySuccess(result);
}
else
{
// Analyze failure.
Log.Info(Tag, " Analyze failure ");
}
}
catch (Exception e)
{
// Operation failure.
Log.Info(Tag, " Operation failure: " + e.Message);
this.DisplayFailure(e);
}
}
