evaluate-segmentations DAG

closes #798 (closed)

Adds a new segmentation evaluation DAG that takes a single dataset as input, and separates it into two sets of segmentations (two separate folders) based on a tag. For instance, a tag like "pred" to indicate that these segmentations are from prediction set, and the rest are from ground truth. Then it performs filtering, fusing based on labels, and finally perfoms the evaluation.

Changes include:

• new segmentation evaluation DAG that compares two sets of segmentations, GT and test
• new SegmentationEvaluationOperator
• for FL: new (experimental) prediction evaluation DAG that runs an nnunet_predict on GT and afterwards compares GT and test
• HelperOpenSearch: include_custom_tag and exclude_custom_tag logic
• LocalGetInputData: include_custom_tag_property and exclude_custom_tag_property
• LocalFilterMasks: use label_filter_key parameter instead of hard coded label_filter to work with multiple filters in ui_forms
• MergeMasks: use fuse_labels_key and fused_label_name_key to specify keys from ui_forms. Also add logic to fuse multiple masks with same label