The ImagePipeline class loads and transforms data for feeding into the network.
As mentioned in Smart Cache, this can also incorporate caching to achieve faster performance. Additionally, Smart Cache provides more details on SegmentationImagePipelineWithCache and its arguments, and a pipeline example with SegmentationImagePipeline.
ImagePipeline is for internal use. Instead, please use one of the following based on ImagePipeline:
At the heart of this library are the transforms that are ready to be plugged in. These are the transforms that you want to do before the data is passed in to the neural network model for training.