2.0.0

New Features

• Serverless and Serving Endpoint compatibility
• NVIDIA's MONAI framework with Databricks compatibility layer
• Incremental processing with spark structured streaming and autoloader
• Automatic zip extraction
• Compatibility with UC Volumes
• OHIF Viewer with Databricks compatibility layer

MONAI integrations

• Model wrapper for MONAILabel to serve as PyFunc ML Model usable in Serving Endpoints
• MONAILabelTransformer to call MONAILabel server in a serving endpoint
• MONAILabel server instructions to notebook 05-Monailabel.py
• A new example to create a custom model with user-defined labels in notebook 05-Monailabel.py
• New workflow example to use pixels with serving endpoints
• MONAILabel radiology app and model creation under monailabel_model folder
• MONAILabel in serving endpoint connectivity to the lakehouse app

Others

• Added SQL statements to create Pixels' tables with optimal configuration during the initialization of the Catalog class
• Added deep parameter in DicomMetaExtractor for optimization purposes, set it as false to avoid scanning dicom pixel data during metadata extraction
• Fixed governance notebook sample
• Fixed RUNME
• Code cleanup using check style
• Removed unnecessary notebooks

Full Changelog: 0.0.6...2.0.0

Intial public release

This version was released publicly to databricks-industry-solutions/pixels with blog and demo.

New Contributors

• @dmoore247 made their first contribution in #1
• @dbbnicole made their first contribution in #2

Full Changelog: https://github.com/databricks-industry-solutions/pixels/commits/0.0.6