build_train_multi: Calculates a data frame to train classifiers

In jspaezp/clasifierrr: Classifies images based on features

Description

Calculates a data frame to train classifiers

Usage

build_train_multi(
  imgs_df,
  train_size_each = 50000,
  preprocess_fun_img = NULL,
  preprocess_fun_mask = NULL,
  filter_widths = c(3, 5, 15, 31),
  shape_sizes = c(51, 101, 151, 201, 251)
)

Arguments

imgs_df	a data frame specifying the masks and images to use, see details
train_size_each	number of elements to keep for each mask/image combination
preprocess_fun_img	optional, processing function to be applied to each image
preprocess_fun_mask	optional, processing function to be applied to each mask
filter_widths	numeric vector with the filter widths to be used

Value

data.frame

Examples

params_df <- tibble::tibble(
    file = c(
        system.file(
            "extdata", "tiny_4T1-shNT-1_layer1.png",
            package = "clasifierrr"),
        system.file(
            "extdata", "tiny_4T1-shNT-1_layer2.png",
            package = "clasifierrr")),
    classif = c("spheroid", "bg"),
    related_file = system.file(
        "extdata", "tiny_4T1-shNT-1.png",
        package = "clasifierrr")
    )
trainset <- build_train_multi(
    params_df,
    train_size_each = 5000,
    filter_widths = c(3,5), shape_sizes = c(21, 51))

jspaezp/clasifierrr documentation built on March 2, 2020, 11:20 a.m.