pyautocv’s change log¶

Version 0.3.1

Due to changes in matplotlib‘s requirements, we now require python greater than or equal to 3.7.
We now use pytest for testing. This is mostly a developer focused issue.
Package can now be run at the command line or Terminal via python -m pyautocv.

Release 0.3.0

Extended tests and coverage
Initial support for action based script run.
Extended script to make it a bit more flexible
Extended the script to handle thresholding, edge detection, and smoothing.
Initial support for thresholding scripts. Added arguments to the sample script
An example_script.py file was added to test running files at the command line
titles was renamed to custom_titles in show_images
show_images now supports showing only a single list of images
plot_hist is a new function that allows one to plot histograms of images.
stack_images is a new function that allows one to stack images vertically and horizontally.
show_images now has a titles argument to add titles to plots.
Fixed issues with read_images not reading mixed formats.
reshape_images and resize_images are helper functions that were originally written for cytounet
read_images now provides a naturally sorted list at least for tiff images.
Made show_images more flexible regarding the size of the figure shown.
Fixed an issue with reading .tif images
show_images now shows image side by side which is more intuitive.
Added support for different color modes i.e. either grayscale or rgb images
Added support for tiff(.tif) images
show_images is now more customizable with respect to the number of images one would like to show.

pyautocv 0.2.1

Major Changes

show_images now supports different color maps
Classes Threshold and EdgeDetection were dropped. Support is now through Segmentation
gray_images is now a static method.

Additions

pyautocv 0.2.0

Major Additions

Class EdgeDetection that inherits from class Segmentation
Class Threshold specifically for thresholding. This also inherits from Segmentation.
Added filtering methods

Major Changes

pyautocv