ESupervisedSegmenterMetrics::GetNormalizedPixelConfusion
Pixel-wise normalized confusion between the given true and predicted labels.
The normalized confusion is the ratio of the number of pixels belonging to the 'trueLabel' that are classified as 'predictedLabel' to the total number of pixels belonging to the 'trueLabel'.
Namespace: Euresys::Open_eVision::EasyDeepLearning
[C++]
float GetNormalizedPixelConfusion(
const std::string& trueLabel,
const std::string& predictedLabel
)
Parameters
trueLabel
True label
predictedLabel
Predicted label
ESupervisedSegmenterMetrics.GetNormalizedPixelConfusion
Pixel-wise normalized confusion between the given true and predicted labels.
The normalized confusion is the ratio of the number of pixels belonging to the 'trueLabel' that are classified as 'predictedLabel' to the total number of pixels belonging to the 'trueLabel'.
Namespace: Euresys.Open_eVision.EasyDeepLearning
[C#]
float GetNormalizedPixelConfusion(
string trueLabel,
string predictedLabel
)
Parameters
trueLabel
True label
predictedLabel
Predicted label