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.
