cellseg: Multiclass Cell Segmentation
=====================================

**Version 0.1.0**


* 
  Initialized script mode. 

* 
  Optimized imports 

* 
  Updated docs to reflect proper DataProcessor usage. 

* 
  Initial tests. 

* 
  ``DataProcessor`` now errors if image and mask/label lengths differ. 

* 
  Dropped thresholding methods. Please use `pyautocv <https://github.com/Nelson-Gon/pyautocv>`_ or any other image 
  processing package of your choice. 

* 
  Refactored ``show_images`` to handle follow current ``DataProcessor`` logic. Fixed a bug that caused rows and column
  switch. 

* 
  ``DataProcessor`` now returns a dictionary containing an image, its label, and index.  

* 
  Reading stacked tiff images is no longer supported for now.

* 
  ``dir_type`` was dropped in ``DataProcessor``. Only provide a directory to ``image_dir`` containing images and masks. 

* 
  Added data from `cytounet <https://github.com/Nelson-Gon/cytounet>`_

* 
  Versioning is now automated. 

* 
  Updated docs to show that this is a work in progress.

* 
  Updated docs to use explicit imports. 

**version 0.0.0**


* 
  Preserve name on PyPI

* 
  Fixed issues with ``show_images`` showing blank images for masks (labels). 

* 
  Fixed issues with ``uint16`` not working with ``PIL``.

* 
  ``DataProcessor`` can now transform images to a given target size. 

* 
  Renamed ``DataLoader`` class to ``DataProcessor`` to avoid conflicts with ``torch.utils.data.DataLoader``

* 
  Added initial simple CNN model with a single layer

* 
  Added ``show_images`` in ``utils.py`` to allow quick visualization of a given number of images from a given stack of
  images. 

* 
  Implemented data loaders. 

* 
  Conceptualized project