icevision_RandomShadow: RandomShadow
In fastai: Interface to 'fastai'

View source: R/icevision_albumentations.R

icevision_RandomShadow

R Documentation

RandomShadow

Description

Simulates shadows for the image

Usage

icevision_RandomShadow(
  shadow_roi = list(0, 0.5, 1, 1),
  num_shadows_lower = 1,
  num_shadows_upper = 2,
  shadow_dimension = 5,
  always_apply = FALSE,
  p = 0.5
)

Arguments

`shadow_roi`	shadow_roi
`num_shadows_lower`	num_shadows_lower
`num_shadows_upper`	num_shadows_upper
`shadow_dimension`	shadow_dimension
`always_apply`	always_apply
`p`	p

Details

From https://github.com/UjjwalSaxena/Automold–Road-Augmentation-Library

Value

None

Targets

image

Image types

uint8, float32

fastai documentation built on March 21, 2022, 9:07 a.m.

fastai index

README.md Audio Classification Basic Image Classification Basic Tabular Bayesian Optimisation Callbacks Custom Image Classification Data augmentation GPT2 Head pose Low-level ops Medical image Migrating from Catalyst Migrating from Ignite Migrating from Lightning Migrating from Pytorch Multilabel classification Object detection Optimizer Question-Answering RoBERTa Speech Recognition Super-Resolution GAN Text-summarization Time-Series

rdrr.io home R language documentation Run R code online

CRAN packages Bioconductor packages R-Forge packages GitHub packages

Note that we can't provide technical support on individual packages. You should contact the package authors for that.

Tweet to @rdrrHQ

GitHub issue tracker

ian@mutexlabs.com