.NET API Documentation¶

EmotionsTracker class¶

class EmotionDetection.EmotionsTracker¶

The Emotions Tracker class

EmotionsTracker(string model_file, int max_concurrency)¶

EmotionsTracker 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

TrackEmotions(ImageHeader img_hdr)¶

Track the emotions on a given image

Parameters:: image (ImageHeader) – image to analyze
Return type:: ResultOrError

ImageFormat¶

class EmotionDetection.ImageFormat¶

Grayscale = 0¶

RGB = 1¶

RGBA = 2¶

BGR = 3¶

BGRA = 4¶

ImageHeader class¶

class EmotionDetection.ImageHeader¶

The ImageHeader class

data: byte[]¶: Image data.

width: int¶: Width of image.

height: int¶: Heigth of image.

stride: int¶: Stride of image.

format: ImageFormat¶: Format of image.

Result classes¶

class EmotionDetection.ResultOrError¶

Contains the result or the error information for a tracking.

Results: EmotironResults¶: Contains the results of a tracking. In case of error it will be null.

Error: string¶: String representation of error. In case of no error it will be null.

class EmotionDetection.EmotionResults¶

Contains the results after a successful tracking

landmarks: LandmarkData¶

emotions: EmotionData[]¶

class EmotionDetection.LandmarkData¶

Contains information about a specific landmark

scale: double¶

roll: double¶

yaw: double¶

pitch: double¶

translate: Point2d¶

landmarks2d: Point2d[]¶

landmarks3d: Point3d[]¶

bool isGood

class EmotionDetection.EmotionData¶

Contains information about a specific emotion

probability: double¶

isActive: bool¶

isDetecionSuccessful: bool¶

emotionID: int¶

class EmotionDetection.Point2d¶

x: float¶

y: float¶

class EmotionDetection.Point3d¶

x: float¶

y: float¶

z: float¶