/// <summary>
/// Every x seconds the Context Recognition algorithm is run if the window has changed.
/// Some info about the context is added (currently: process + windows information)
/// Then, the background worker is started for OCR recognition
/// </summary>
/// <param name="sender"></param>
/// <param name="e"></param>
private void RunContextRecognition(object sender, EventArgs e)
{
// determine whether store or not
if (_screenshotChangedTracker == null || !_screenshotChangedTracker.WindowChanged())
{
return;
}
// capture the screenshot
var sc = ScreenCapture.CaptureActiveWindowHq();
if (sc == null || sc.Image == null)
{
return; // screenshot capture unsuccessful
}
// get window & process names (additional contextual information)
var currentWindowName = _screenshotChangedTracker.GetWindowText();
var currentProcessName = _screenshotChangedTracker.GetProcessName();
var ce = new ContextEntry
{
Timestamp = DateTime.Now,
WindowName = currentWindowName,
ProcessName = currentProcessName,
Confidence = OcrLibrary.Settings.OcrConfidenceAcceptanceThreshold, // so it won't be saved if it isn't overwritten
OcrText = string.Empty,
Screenshot = sc
};
// runs the OCR process and get's the result as a context entry
ce = OcrEngine.GetInstance().RunOcr(ce);
// only save in database if useful accuracy & enough content
if (ce != null &&
ce.Confidence < OcrLibrary.Settings.OcrConfidenceAcceptanceThreshold &&
ce.OcrText.Length > OcrLibrary.Settings.OcrTextLengthAcceptanceThreshold)
{
SaveContextEntryToDatabase(ce);
}
// dispose data (to free up RAM)
DisposeData(ce);
}