Python Face Detector API

oneML model to detect faces in images, returning their confident score, bounding box, face landmarks and poses.

oneML.faceAPI.FaceDetector : public object

The oneML FaceDetector API object.

Class to create and use oneML face detector model.

Public Functions

__init__(self, manager)

Construct a FaceDetector object.

Parameters

• manager: LicenseManager instance.

detect_batch(self, imgvec_, score_threshold=- 1.0)

Detect faces in images.

Return

FaceDetectorResultVector: list of FaceDetectorResult objects

Parameters

• imgvec_: numpy array with shape (batch, height, width, channel)

• score_threshold: score threshold, -1.0 means default threshould

detect(self, imgvec_, score_threshold=- 1.0)

Detect faces in images.

Return

FaceDetectorResult: result object

Parameters

• imgvec_: numpy array with shape (height, width, channel)

• score_threshold: score threshold, -1.0 means default threshould

oneML.faceAPI.FaceDetectorResult : public object

The result object for oneML FaceDetector API.

Helper class to access all the results from
an API call.

Public Functions

get_scores(self)

Get result scores.

Return

FloatVector: list of float scores

get_bboxes(self)

Get result bounding box.

Return

BBoxVector: list of BBox objects

get_landmarks(self)

Get result landmarks.

Return

Landmarks5Vector: list of Landmark5 objects

get_size(self)

Get number of faces detected.

Return

int: number of faces detected

get_poses(self)

Get result pose.

Return

IntVector: list of int values of Pose enumerators

get_return_status(self)

Get return status.

Return

IntVector: list of in values of return status

oneML.faceAPI.FaceDetectorResultVector : public object

List of FaceDetectorResult objects.

oneML.faceAPI.FaceDetectorStatus_Empty = _oneMLfacePython.FaceDetectorStatus_Empty

oneML.faceAPI.FaceDetectorStatus_Success = _oneMLfacePython.FaceDetectorStatus_Success

oneML.faceAPI.FaceDetectorStatus_Fail = _oneMLfacePython.FaceDetectorStatus_Fail