FaceAnalyser.computeEyeOpenness Method¶
Module: FaceAnalyser
Definition¶
Computes the eye openness of a detected face.
The minimum recommanded value for is 90.
Important
Loading the EyeOpennessDetector model is required to use this function.
compute_eye_openness(self, image: Image, detected_face: DetectedFace, landmarks: PointList) -> List[int]
Parameters
imageImagein Source image to process.detected_faceDetectedFacein Detected face to process.landmarksPointListin Estimated landmarks of the detected face. Must be computed with the face analyser.
Returns
List[int]The estimated openness scores of left and right eyes of the detected face in this order.
Exceptions
An error has occurred during Face Library execution.
List<int> computeEyeOpenness(Image image, DetectedFace detectedFace, PointList landmarks)
Parameters
imageImagein Source image to process.detectedFaceDetectedFacein Detected face to process.landmarksPointListin Estimated landmarks of the detected face. Must be computed with the face analyser.
Returns
List<int>The estimated openness scores of left and right eyes of the detected face in this order.
Exceptions
An error has occurred during Face Library execution.
public int[] ComputeEyeOpenness(Image image, DetectedFace detectedFace, PointList landmarks)
Parameters
imageImagein Source image to process.detectedFaceDetectedFacein Detected face to process.landmarksPointListin Estimated landmarks of the detected face. Must be computed with the face analyser.
Returns
int[]The estimated openness scores of left and right eyes of the detected face in this order.
Exceptions
An error has occurred during Face Library execution.
public int[] computeEyeOpenness(Image image, DetectedFace detectedFace, PointList landmarks) throws FaceException
Parameters
imageImagein Source image to process.detectedFaceDetectedFacein Detected face to process.landmarksPointListin Estimated landmarks of the detected face. Must be computed with the face analyser.
Returns
int[]The estimated openness scores of left and right eyes of the detected face in this order.
Exceptions
An error has occurred during Face Library execution.
public func computeEyeOpenness(image: Image, detectedFace: DetectedFace, landmarks: PointList) throws -> [Int32]
Parameters
imageImagein Source image to process.detectedFaceDetectedFacein Detected face to process.landmarksPointListin Estimated landmarks of the detected face. Must be computed with the face analyser.
Returns
[Int]The estimated openness scores of left and right eyes of the detected face in this order.
Exceptions
An error has occurred during Face Library execution.
int id3FaceAnalyser_ComputeEyeOpenness (
ID3_FACE_ANALYSER hFaceAnalyser,
ID3_FACE_IMAGE hImage,
ID3_DETECTED_FACE hDetectedFace,
ID3_FACE_POINT_LIST hLandmarks,
int * eyeOpennessScores,
int * eyeOpennessScoresSize)
Parameters
hFaceAnalyserID3_FACE_ANALYSERin Handle to the FaceAnalyser object.hImageID3_FACE_IMAGEin Source image to process.hDetectedFaceID3_DETECTED_FACEin Detected face to process.hLandmarksID3_FACE_POINT_LISTin Estimated landmarks of the detected face. Must be computed with the face analyser.eyeOpennessScoresint *out The estimated openness scores of left and right eyes of the detected face in this order.eyeOpennessScoresSizeint *in Size of the ‘eyeOpennessScores’ buffer. Receives the number of elements in the ‘eyeOpennessScores’ array.
Returns