ImagePreprocessing
	
struct defined in module 
	FastVision
			ImagePreprocessing([; kwargs...]) <: Encoding
			Encodes 
			Images by converting them to a common color type 
			C, expanding the color channels and normalizing the channel values. Additionally, apply pixel-level augmentations passed in as 
			augmentations during 
			Training.
Encodes
			
			Image{N} -> 
			ImageTensor{N}
			
			augmentations::
	
			
			DataAugmentation.Transform: Augmentation to apply to every image before preprocessing. See 
	
			
			augs_lighting
			
			buffered = true: Whether to use inplace transformations. Reduces memory usage.
			
			means::SVector = IMAGENET_MEANS: mean value of each color channel.
			
			stds::SVector = IMAGENET_STDS: standard deviation of each color channel.
			
			C::Type{<:Colorant} = RGB{N0f8}: color type to convert images to.
			
			T::Type{<:Real} = Float32: element type of output
There is
			1
			method for FastVision.ImagePreprocessing:
		
The following pages link back here:
Blocks and encodings, How to augment vision data, Image segmentation, Introduction, Keypoint regression, Saving and loading models for inference, Siamese image similarity, Variational autoencoders, fastai API comparison
FastVision.jl , encodings/imagepreprocessing.jl , tasks/segmentation.jl , tasks/utils.jl , tests.jl