New Features

added --ignore_label parameter to exclude a segmentation class for trait calculation.
added --masks parameter to skip semantic segmentation and run trait extraction using user-supplied masks
added --label_spec parameter to allow for mapping of segmentation classes to pixel values of user-supplied segmentation masks. This is a requirement for the --masks parameter now.
added --model 'DPP' and --dpp_checkpoint to allow for custom segmentation models, trained using the Deep Plant Phenomics framework

Fixes and general changes

fixed an issue where the pipeline would crash if the input image contains an alpha channel
updated base.config to avoid out-of-memory issues when running with --multiscale
added log message to show current parameter settings when starting a pipeline run
added a more informative log message if pipeline fails on systems with insufficient memory
updated configuration for CBE cluster
factored out Shiny dependencies into separate container (should be easier to deploy as a hosted Shiny app now)
added Dockerfile + Conda environment for DPP v2.1.0