/// <summary>
/// Runs prediction until the consecutive, cumulative score matches or goes above the specified threshold.
/// When a prediction does not match the previous prediction, the counter is reset. To be used with PredictAsync
/// </summary>
/// <param name="threshhold">Score to consider</param>
/// <param name="result">The output CumulativeConfidenceResult to update</param>
/// <param name="destroyTexture">Optional flag to destroy Texture2D once prediction is finished</param>
public void CumulativeConfidenceAsync(float threshhold, ref CumulativeConfidenceResult result, bool destroyTexture = false)
{
string prevLabel = null;
if (result.LastResult != null)
{
prevLabel = result.LastResult.Best().Label;
}
var prediction = GetPredictionResultAsync(destroyTexture);
if (prediction != null)
{
result.LastResult = prediction;
result.Threshhold = threshhold;
if (prevLabel != null && prevLabel != prediction.Best().Label)
{
result.CumulativeConfidence = 0;
}
else if (result.CumulativeConfidence <= threshhold)
{
result.CumulativeConfidence += prediction.Best().Confidence;
}
}
}
/// <summary>
/// Runs prediction until the consecutive, cumulative score matches or goes above the specified threshold.
/// When a prediction does not match the previous prediction, the counter is reset.
/// </summary>
/// <param name="image">Input Texture2D to predict</param>
/// <param name="threshhold">Score to consider</param>
/// <param name="result">The output CumulativeConfidenceResult to update</param>
public void CumulativeConfidence(Texture2D image, float threshhold, ref CumulativeConfidenceResult result)
{
string prevLabel = null;
if (result.LastResult != null)
{
prevLabel = result.LastResult.Best().Label;
}
var prediction = Predict(image);
result.LastResult = prediction;
result.Threshhold = threshhold;
if (prevLabel != null && prevLabel != prediction.Best().Label)
{
result.CumulativeConfidence = 0;
}
else if (result.CumulativeConfidence <= threshhold)
{
result.CumulativeConfidence += prediction.Best().Confidence;
}
}
