Welcome to LavLab Python Util’s documentation!

LavLab Python Util is a Python library for accessing and processing cloud data. It pulls data from OMERO and converts it to general purpose formats like numpy arrays.

Check out the Installation section for a guide on installing lavlab-python-utils.

Check out the Getting Started section for usage information.

Note

This project is under active development.

Contents

• Installation
• Getting Started
• Modules
  • lavlab Package
    • Modules
    • lavlab.omero_asyncio module
      • AsyncClient
        • AsyncClient.createSession()
        • AsyncClient.getSession()
      • AsyncService
      • AsyncSession
      • ice_async()
    • lavlab.omero_util module
    • lavlab.python_util module
      • FILETYPE_DICTIONARY
      • apply_mask()
      • chunkify()
      • create_array()
      • desync()
      • draw_shapes()
      • get_color_region_contours()
      • interlace_lists()
      • lookup_filetype_by_name()
      • merge_async_iters()
      • rgba_to_uint()
      • uint_to_rgba()
    • Module contents