.NET API Documentation¶

DemographicEstimator class¶

class DemographicEstimation.DemographicEstimator¶

The Demographic Estimator class

DemographicEstimator(string model_file, int max_concurrency)¶

DemographicEstimator constructor: loads model file, sets up the processing.

Parameters:

model_file (string) – path for the used model
max_concurrency (int) – maximum allowed concurrency, 0 means automatic (using all cores), default: 0

DetectFaces(ImageHeader img_hdr)¶

Detects the faces on an image. This method is async.

Parameters:: image (ImageHeader) – image of the face(s)
Return type:: Task<DetectResultsOrError>

Estimate(Face face)¶

Returns the demographic estimation of the detected face. This method is async.

Parameters:: face (Face) – face to embed.
Return type:: Task<EstimateResultsOrError>

Image header class¶

class DemographicEstimation.ImageHeader¶

The ImageHeader class

data: byte[]¶: Image data.

widht: int¶: Width of image.

height: int¶: Heigth of image.

stride: int¶: Stride of image.

format: ImageFormat¶: Format of image.

Result classes¶

Faces¶

class DemographicEstimation.Faces¶

Result wrapper class for internal Face list

Count()¶: Gets the number of Face objects held.

GetFace(int idx)¶

Gets one Face object from the internal list

Parameters:: idx (int) – index of Face object.
Return type:: Face

Face¶

class DemographicEstimation.Face¶

GetBoundingBox()¶

Returns the bounding box of the detected face.

Return type:: BoundingBox

GetConfidence()¶

Returns the confidence value of the detected face.

Return type:: float

BoundingBox¶

class DemographicEstimation.BoundingBox¶

The BoundingBox class

x: int¶: X coordinate of the top left corner.

y: int¶: Y coordinate of the top left corner.

width: int¶: Width of the bounding box.

height: int¶: Height of the bounding box.

Outputs¶

class DemographicEstimation.Outputs¶

Result wrapper class for internal Output list

Count()¶: Gets the number of Output objects held.

GetEstimation(int idx)¶

Gets one Output object from the internal list

Parameters:: idx (int) – index of Output object.
Return type:: Face

Output¶

class DemographicEstimation.Output¶

The Output class, contains one result of an Estimation

type: OutputType¶: Type of Estimation Output.

OutputType¶

class DemographicEstimation.OutputType¶

AGE = 0¶

GENDER = 1¶

Gender¶

class DemographicEstimation.Gender¶

FEMALE = 0¶

MALE = 1¶