viewBatch: viewBatch

In geodl: Geospatial Semantic Segmentation with Torch and Terra

viewBatch

Description

Generate image grid of mini-batch of image chips and associated masks created by a DataLoader.

Usage

viewBatch(dataLoader, nCols = 3, r = 1, g = 2, b = 3, cNames, cColors)

Arguments

dataLoader	Instantiated instance of a DataLoader created using torch::dataloader().
nCols	Number of columns in the image grid. Default is 3.
r	Index of channel to assign to red channel. Default is 1 or first channel. For gray scale or single-band images, assign the same index to all three bands.
g	Index of channel to assign to green channel. Default is 2 or the second channel. For gray scale or single-band images, assign the same index to all three bands.
b	Index of channel to assign to blue channel. Default is 3 or the third channel. For gray scale or single-band images, assign the same index to all three bands.
cNames	Vector of class names. Must be the same length as number of classes.
cColors	Vector of color values to use to display the masks. Colors are applied based on the order of class indices. Length of vector must be the same as the number of classes.

Details

The goal of this function is to provide a visual check of a mini-batch of image chips and associated masks generated from a DataLoader.

Value

Image grids of example chips and masks loaded from a mini-batch produced by the DataLoader.

Examples

## Not run: 
viewBatch(dataLoader=trainDL,
          nCols = 5,
          r = 1,
          g = 2,
          b = 3,
          cNames=c("Background", "Mine"),
          cColors=c("gray", "darksalmon"))

## End(Not run)

geodl documentation built on Sept. 11, 2024, 8:01 p.m.