pyautocv’s change log¶
Version 0.3.1
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 linetitles
was renamed tocustom_titles
inshow_images
show_images
now supports showing only a single list of imagesplot_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 atitles
argument to add titles toplots
.Fixed issues with
read_images
not reading mixed formats.reshape_images
andresize_images
are helper functions that were originally written for cytounetread_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
imagesshow_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
) imagesshow_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 mapsClasses
Threshold
andEdgeDetection
were dropped. Support is now throughSegmentation
gray_images
is now a static method.
Additions
Added support for more detection methods e.g. Roberts Cross
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
Method
show_images
is now astatic
method.read_images
now supportspng
Thresholding is now built on top of opencv. This may change in the future