R/RcppExports.R

Defines functions image_segmentation is_mt_finite NAs_matrix apply_rcpp simil_A

# Generated by using Rcpp::compileAttributes() -> do not edit by hand
# Generator token: 10BE3573-1514-4C36-9D1C-5A225CD40393

simil_A <- function(spx_vec1, spx_vec2, wL = 3L, wA = 10L, wB = 10L) {
    .Call(`_SuperpixelImageSegmentation_simil_A`, spx_vec1, spx_vec2, wL, wA, wB)
}

apply_rcpp <- function(input) {
    .Call(`_SuperpixelImageSegmentation_apply_rcpp`, input)
}

NAs_matrix <- function(x) {
    .Call(`_SuperpixelImageSegmentation_NAs_matrix`, x)
}

is_mt_finite <- function(x) {
    .Call(`_SuperpixelImageSegmentation_is_mt_finite`, x)
}

image_segmentation <- function(input_image, method = "slic", num_superpixel = 200L, kmeans_method = "", AP_data = FALSE, use_median = TRUE, minib_kmeans_batch = 10L, minib_kmeans_init_fraction = 0.5, kmeans_num_init = 3L, kmeans_max_iters = 100L, kmeans_initializer = "kmeans++", colour_type = "RGB", compactness_factor = 20, adjust_centroids_and_return_masks = FALSE, return_labels_2_dimensionsional = FALSE, sim_normalize = FALSE, sim_wL = 3L, sim_wA = 10L, sim_wB = 10L, sim_color_radius = 20L, ap_maxits = 1000L, ap_convits = 100L, ap_dampfact = 0.9, ap_details = FALSE, ap_nonoise = 0.0, ap_time = FALSE, verbose = FALSE) {
    .Call(`_SuperpixelImageSegmentation_image_segmentation`, input_image, method, num_superpixel, kmeans_method, AP_data, use_median, minib_kmeans_batch, minib_kmeans_init_fraction, kmeans_num_init, kmeans_max_iters, kmeans_initializer, colour_type, compactness_factor, adjust_centroids_and_return_masks, return_labels_2_dimensionsional, sim_normalize, sim_wL, sim_wA, sim_wB, sim_color_radius, ap_maxits, ap_convits, ap_dampfact, ap_details, ap_nonoise, ap_time, verbose)
}

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SuperpixelImageSegmentation documentation built on Feb. 6, 2022, 5:06 p.m.