plot_image_explanation: Display image explanations as superpixel areas

In lime: Local Interpretable Model-Agnostic Explanations

Display image explanations as superpixel areas

Description

When classifying images one is often interested in seeing the areas that supports and/or contradicts a classification. plot_image_explanation() will take the result of an image explanation and highlight the areas found relevant to each label in the explanation. The highlighting can either be done by blocking the parts of the image not related to the classification, or by encircling and colouring the areas that influence the explanation.

Usage

plot_image_explanation(
  explanation,
  which = 1,
  threshold = 0.02,
  show_negative = FALSE,
  display = "outline",
  fill_alpha = 0.3,
  outline_col = c("blue", "red"),
  block_col = "grey"
)

Arguments

explanation	The explanation created with an image_explainer
which	The case in explanation to illustrate. plot_image_explanation only supports showing one case at a time.
threshold	The lowest absolute weighted superpixels to include
show_negative	Should areas that contradicts the prediction also be shown
display	How should the areas be shown? Either outline or block
fill_alpha	In case of display = 'outline' how opaque should the area colour be?
outline_col	A vector of length 2 giving the colour for supporting and contradicting areas respectively if display = 'outline'
block_col	The colour to use for the unimportant areas if display = 'block'

Value

A ggplot object

Examples

## Not run: 
# load precalculated explanation as it takes a long time to create
explanation <- .load_image_example()

# Default
plot_image_explanation(explanation)

# Block out background instead
plot_image_explanation(explanation, display = 'block')

# Show negatively correlated areas as well
plot_image_explanation(explanation, show_negative = TRUE)

## End(Not run)

lime documentation built on Aug. 19, 2022, 9:07 a.m.