private VisionObject FromPrediction(string fileExtension, Bitmap img, PredictionResult prediction)
{
var fileInfo = new FileInfo(string.Format(@"C:\Folder\{0}.{1}", Guid.NewGuid(), fileExtension));
var boxImg = GetBoxImage(img, prediction.BoundingBox);
var imgBytes = GetImageBytes(boxImg, GetFormat(fileExtension));
var ocr = _ocrService.DoOcr(fileInfo, imgBytes);
var result = new VisionObject()
{
Location = new Rectangle()
{
X = 0, Y = 0, Width = boxImg.Width, Height = boxImg.Height
},
Probability = prediction.Probability,
TagName = prediction.TagName,
OcrResult = ocr.Data
};
return(result);
}
private void StackObject(VisionObject obj)
{
if (objects.Count > 0)
{
float deltaWidth = (obj.DispRect.Width - dispRect.Width) / 2.0f;
if (deltaWidth > 0.0f)
{
dispRect.Inflate(deltaWidth, 0.0f);
}
float newX = dispRect.X - (deltaWidth < 0.0f ? deltaWidth : 0.0f);
float newY = dispRect.Bottom + PADDING;
obj.PutAt(newX, newY);
dispRect.Height += obj.DispRect.Height + PADDING;
}
else
{
dispRect = obj.DispRect;
}
objects.Add(obj);
}
private void GetHighestConfidence(VisionData data)
{
float maxConfidence = 0;
VisionObject obj = null;
if (data != null)
{
foreach (var vobj in data.objects)
{
if (vobj.confidence > maxConfidence)
{
maxConfidence = vobj.confidence;
obj = vobj;
}
}
if (obj != null)
{
int midX = (obj.rectangle.x + obj.rectangle.w) / 2;
int midY = (obj.rectangle.y + obj.rectangle.h) / 2;
String objString = obj.obj;
StartCoroutine(audioManager.playWord(midX, midY, objString));
}
}
}
private void StackObject(VisionObject obj)
{
if (objects.Count > 0)
{
float deltaWidth = (obj.DispRect.Width - dispRect.Width) / 2.0f;
if (deltaWidth > 0.0f)
dispRect.Inflate(deltaWidth, 0.0f);
float newX = dispRect.X - (deltaWidth < 0.0f ? deltaWidth : 0.0f);
float newY = dispRect.Bottom + PADDING;
obj.PutAt(newX, newY);
dispRect.Height += obj.DispRect.Height + PADDING;
}
else
{
dispRect = obj.DispRect;
}
objects.Add(obj);
}
