CVFaceDetectorYN - matt-s-clark/godot-gdextension-opencv GitHub Wiki

Implementation of yunet face detection. More information here.

detect

Prototype: CVMat detect(CVMat image)

Returns mat of size [number of faces, 15] with face data

detect_simplified

Prototype: Array detect_simplified(CVMat image)

The same as detect, but returns an array of dictionaries.

get_input_size

Prototype: Vector2 get_input_size()

Returns the size of the image the model expects.

get_nms_threshold

Prototype: float get_nms_threshold()

Returns the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value.

get_score_threshold

Prototype: float get_score_threshold()

Returns the score threshold to filter out bounding boxes of score less than the given value.

get_top_k

Prototype: int get_top_k()

Returns the number of bounding boxes preserved before NMS.

set_input_size

Prototype: void set_input_size(Vector2 input_size)

Set the size of the image the model expects.

set_nms_threshold

Prototype: void set_nms_threshold(float nms_threshold)

Set the Non-maximum-suppression threshold to suppress bounding boxes that have IoU greater than the given value.

set_score_threshold

Prototype: void set_score_threshold(float score_threshold)

Set the score threshold to filter out bounding boxes of score less than the given value.

set_top_k

Prototype: void set_top_k(int top_k)

Set the number of bounding boxes preserved before NMS.

create

Prototype: static CVFaceDetectorYN create(String model, String config, Vector2 input_size, Dictionary additional_parameters)

Creates an instance of face detector class.

• Additional parameters: score_threshold: Float, nms_threshold: Float, top_k: Int, backend_id: Int, target_id: Int