/// <summary>
/// Predict gender/age for all faces which were detected.
/// </summary>
/// <param name="faceLocs">
/// Locations of all detected faces.
/// </param>
/// <param name="faces">
/// Data of all detected faces.
/// </param>
/// <returns>
/// A list of Result object,
/// each one is the position and predicted result of a face.
/// </returns>
protected List <Result> Fit(List <Location> faceLocs, List <byte[]> faces)
{
int[] shape =
{
1, // We will perform tensor stacking inside CreateTensor function
Height,
Width,
Depth
};
// Convert faces' data into one tensor
var inputs = TensorUtils.CreateTensor(faces, shape);
// Normalize input tensor before passing to tensorflow model.
// This could sustainably increase model's accuracy
if (Preprocessors != null)
{
foreach (var preprocessor in Preprocessors)
{
inputs = preprocessor.Process(inputs);
}
}
return(Fit(faceLocs, inputs));
}
