cv2.face.LBPHFaceRecognizer_create

LBPHFaceRecognizer_create(...)

    LBPHFaceRecognizer_create([, radius[, neighbors[, grid_x[, grid_y[, threshold]]]]]) -> retval

    .   @param radius The radius used for building the Circular Local Binary Pattern. The greater the

    .   radius, the smoother the image but more spatial information you can get.

    .   @param neighbors The number of sample points to build a Circular Local Binary Pattern from. An

    .   appropriate value is to use `8` sample points. Keep in mind: the more sample points you include,

    .   the higher the computational cost.

    .   @param grid_x The number of cells in the horizontal direction, 8 is a common value used in

    .   publications. The more cells, the finer the grid, the higher the dimensionality of the resulting

    .   feature vector.

    .   @param grid_y The number of cells in the vertical direction, 8 is a common value used in

    .   publications. The more cells, the finer the grid, the higher the dimensionality of the resulting

    .   feature vector.

    .   @param threshold The threshold applied in the prediction. If the distance to the nearest neighbor

    .   is larger than the threshold, this method returns -1.

    .   

    .   ### Notes:

    .   

    .   -   The Circular Local Binary Patterns (used in training and prediction) expect the data given as

    .   grayscale images, use cvtColor to convert between the color spaces.

    .   -   This model supports updating.

    .   

    .   ### Model internal data:

    .   

    .   -   radius see LBPHFaceRecognizer::create.

    .   -   neighbors see LBPHFaceRecognizer::create.

    .   -   grid_x see LLBPHFaceRecognizer::create.

    .   -   grid_y see LBPHFaceRecognizer::create.

    .   -   threshold see LBPHFaceRecognizer::create.

    .   -   histograms Local Binary Patterns Histograms calculated from the given training data (empty if

    .   none was given).

    .   -   labels Labels corresponding to the calculated Local Binary Patterns Histograms.

read(...) method of cv2.face_LBPHFaceRecognizer instance

    read(filename) -> None

    .   @brief Loads a FaceRecognizer and its model state.

    .   

    .   Loads a persisted model and state from a given XML or YAML file . Every FaceRecognizer has to

    .   overwrite FaceRecognizer::load(FileStorage& fs) to enable loading the model state.

    .   FaceRecognizer::load(FileStorage& fs) in turn gets called by

    .   FaceRecognizer::load(const String& filename), to ease saving a model.