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 31, 2023, 11:41 p.m.

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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

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