showFace: Displays Image

In alstat/rface: Face and Pattern Recognition with PCA and Neural Nets.

Description

This function uses PCA to compute the eigenfaces and recognizes the data.

Usage

showFace(x, all = TRUE, method = "raster", ...)

Arguments

x	a data frame consisting the suitability scores of a given characteristics (terrain, soil, water and temperature) for a given crop (e.g. coconut, cassava, etc.);
method	the method for computing the overall suitability, which includes the "minimum", "maximum", "sum", "product", "average", "exponential" and "gamma". If NULL, "minimum" is used.
interval	if NULL, the interval used are the following: 0-25 suitable, N), 25 75 the values of the end points of the intervals.
output	the output to be returned, either the scores or class. If NULL, both are returned.

Examples

To reproduce this example, please refer to \code{https://github.com/alstat/rface}

# Call the Face Recognition package
library(rface)
# Import all images in the directory "data/jaffe/"
imgData <- importImages("~/Downloads/jaffe_training/", display = FALSE)

# Show imported images
showFace(imgData)

alstat/rface documentation built on May 10, 2019, 10:25 a.m.